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OpenAI proposes a new corporate structure

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Hello and welcome to Sync #500!

First of all, Happy New Year! Secondly, this is the 500th issue of Sync. Such a milestone offers a chance to reflect on nearly 10 years of writing a weekly newsletter and to look ahead to the future, which I’ll be sharing with you soon in a separate post.

In this 500th issue, we’ll take a closer look at OpenAI’s proposed new corporate structure, the reactions it has sparked, and its potential impact on the tech world.

In other news, Nvidia is already eyeing the next big thing after AI—robotics. Meanwhile, Google CEO Sundar Pichai has urged employees to prepare for a transformative 2025. We also have a comparison between ChatGPT Search and Google Search, an overview of how AI performed in the recently concluded Advent of Code 2024, and an analysis of the state of AI hardware startups.

Over in robotics, Figure AI has shipped its first humanoid robots to a paying customer, and BYD has entered the humanoid robotics race.

We’ll conclude this week’s issue with a look at what to expect from mRNA vaccines in 2025 and with a company promising to bring underwater habitats—where people can live and work tens or hundreds of metres below the surface—a step closer to reality.

Enjoy!

The last three years have been a time of massive growth for OpenAI. The AI lab went from a startup known primarily within the tech and AI community into a poster child of the current AI boom.

However, such massive growth requires massive transformation. OpenAI is no longer the same company that released ChatGPT in November 2022 as an experiment. The company’s leadership has changed. Many key people, such as Mira Murati, former CTO, and Ilya Sutskever, co-founder and former chief scientist, left the company. Meanwhile, hundreds of new employees have joined, all contributing to a shift in the company’s culture and priorities.

Over the years, OpenAI has changed. Now, facing new challenges as a leader in the AI space valued at $157 billion, OpenAI proposes to change itself once again. However, OpenAI is going against some powerful forces that could prevent its plans from happening.

OpenAI began as a non-profit organisation, founded in 2015 with the goal of ensuring that artificial general intelligence (AGI) benefits all of humanity. However, OpenAI’s leadership realised that the nonprofit structure, which reflected the altruistic spirit and ideals behind its creation, was incompatible with the goal of building AGI.

The research and development of advanced AI models require an enormous amount of computing power—first to train the models and then even more to deploy them at scale to millions of users (OpenAI has 300 million weekly users). A non-profit organisation was not attractive to investors, who seek returns on their investments. Consequently, OpenAI began exploring ways to transform itself into a for-profit company.

Email conversations revealed by both Elon Musk’s legal team and OpenAI indicate that discussions about transforming OpenAI into a for-profit company began as early as 2017. In 2019, OpenAI announced a new corporate structure in which a for-profit entity (“OpenAI LP”) is controlled by a non-profit board, with capped profit-sharing for investors and employees. This rather unusual hybrid corporate structure represents a compromise between the harsh reality that a tech company needs to operate as a for-profit entity to attract investments and the nonprofit model that embodies OpenAI’s original spirit.

OpenAI’s turbulent early years – Sync #494

The capped-profit structure served OpenAI well. It made the company more attractive to investors, who poured over $20 billion into it, including half of that amount secured in October 2024 ($6.6 billion from a Series B funding round and $4 billion borrowed from banks). This approach paved the way for ChatGPT and the current AI boom we are experiencing today.

However, those billions raised for building AGI are not enough. Reports published in the summer of 2024 revealed that OpenAI was on track to lose approximately $5 billion that year. The investments needed for the research and development of new models, as well as securing the computing power required to train and deploy them—whether through renting or building dedicated data centres—will demand even more resources and many more billions of dollars.

To address these challenges and position itself for a successful future, OpenAI plans to once again change its corporate structure.

OpenAI has announced its intention to transition its for-profit arm into a Delaware Public Benefit Corporation (PBC) by 2025. “As we enter 2025, we will have to become more than a lab and a startup — we have to become an enduring company,” states OpenAI.

According to OpenAI, the PBC model is the solution to balancing shareholder interests, stakeholder priorities, and public benefits in its decision-making, potentially offering a middle ground between traditional for-profit goals and its founding mission.

Unlike traditional for-profit companies, which are solely focused on maximizing shareholder value, PBCs are legally required to balance profit-making with its stated public benefit. For OpenAI, this means ensuring that its mission of advancing AI to benefit all humanity remains central to its operations, even as it raises capital and grows its business.

The for-profit entity will adopt a PBC structure, allowing OpenAI to raise capital with conventional equity terms while maintaining a commitment to public benefit. The non-profit will retain significant equity in the PBC, providing it with substantial resources to fund charitable initiatives in sectors like health care, education, and science. The non-profit’s influence will shift away from controlling the for-profit to focusing on its charitable initiatives and ensuring that OpenAI’s mission of benefiting humanity remains central.

OpenAI plans, however, have been met with criticism and opposition.

Critics argue that OpenAI’s new corporate structure will prioritise investors and revenue over the company’s original mission of building AIG that benefits all of humanity. Others raised concerns that the transition could exploit non-profit tax benefits while operating as a for-profit entity.

The strongest opposition to OpenAI’s plans comes from Elon Musk. Musk, one of OpenAI’s founders and a significant financial supporter in its early days, left the organisation in 2018 due to differences in visions for its direction and priorities. Since the release and subsequent success of ChatGPT, Musk has become a vocal critic of OpenAI.

In March 2024, Musk filed a lawsuit against OpenAI and its leadership, claiming that the organisation has strayed from its original non-profit mission of advancing AI for public benefit by prioritising profit through its collaboration with Microsoft. Musk argues that this shift undermines OpenAI’s commitment to open-source development and public welfare. The lawsuit seeks to realign OpenAI with its founding principles—a move which, if successful, would effectively end OpenAI as we know it today and dramatically limit its funding options.

Although Musk calls in the lawsuit for OpenAI to return to its non-profit roots, it is worth noting that he is also an owner of xAI, a competitor to OpenAI, which complicates his position. Reducing OpenAI’s market presence would undoubtedly benefit xAI.

Other competitors also see an opportunity to curb OpenAI’s growth and influence in the AI industry. Meta has aligned with Musk, sending a letter to California Attorney General Rob Bonta and arguing that allowing the shift would have “seismic implications for Silicon Valley.” Meanwhile, Google has reportedly urged the US Federal Trade Commission to end OpenAI’s partnership with Microsoft, claiming the deal is “preventing them from competing in the burgeoning artificial intelligence market.”

No matter what happens with OpenAI’s restructuring plans, the impact on the tech industry and future startup founders will be profound.

OpenAI’s internal conflict between staying true to its ideals and navigating the realities of the modern business environment highlights that the romantic vision of a group of world-class researchers and engineers changing the world through a breakthrough invention alone is just that—a romantic vision. It demonstrates that achieving world-changing breakthroughs like AGI requires not only technological expertise but also substantial financial investments.

As one of the leading AI companies, OpenAI’s restructuring could set a precedent for how mission-driven organisations adapt to the demands of a competitive and capital-intensive market. It also raises important questions about how such transformative technologies should be governed and who should benefit from them.

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▶️ Eva’s First Steps Out of the Lab (6:25)

In this video, engineers and researchers from IHMC, a legendary name in robotics research and development space, share the first steps outside the lab of Eva, their robotic exoskeleton designed for people working in hazardous environments that require wearing heavy protective equipment. The walk outside the lab includes taking the first steps up and down stairs, as well as venturing outside the building, all accompanied by commentary from the person wearing the exoskeleton.

▶️ Predictions for Technology, Civilization & Our Future (38:08)

It’s that time of year when predictions for 2025 and beyond abound. Isaac Arthur envisions an optimistic near future, where advancements in AI and robotics enhance daily life, life extension technologies help us live healthier and longer, and humanity takes its first significant steps toward colonizing the solar system. These innovations could bring profound societal changes, new discoveries, and unparalleled opportunities. Arthur also explores the challenges of predicting the future, emphasizing the importance of adaptability, informed decision-making, and shaping the future through deliberate action.

Google CEO Pichai tells employees to gear up for big 2025: ‘The stakes are high’
The last two years have not been good for Google. The tech giant was caught off guard by the sudden rise of OpenAI and is now trying to regain its position as the leader in AI. Additionally, the company faces increased competition and regulatory hurdles. Amidst these challenges, Google CEO Sundar Pichai recently told employees that “the stakes are high” for 2025, emphasising the need for urgency and faster execution. Pichai also highlighted the importance of staying “scrappy,” citing Google’s early days as an example of innovation under constraints. The focus will be on leveraging advancements in AI (with Gemini playing a key role here) to address user problems and scale new technologies.

DeepSeek-V3, ultra-large open-source AI, outperforms Llama and Qwen on launch
Chinese AI startup DeepSeek released their new ultra-large model, DeepSeek-V3. According to the benchmarks provided by DeepSeek, this 671B parameters model is the strongest open model available and, in some benchmarks, outperforms GPT-4o and Claude 3.5 Sonnet.

Israel built an ‘AI factory’ for war. It unleashed it in Gaza.
The conflict in Gaza marks one of the first major uses of AI in warfare. The Israel Defense Forces (IDF) deploy advanced tools like “Habsora” and “Lavender” to analyze intelligence and suggest targets, significantly speeding up operations. While these tools enhance efficiency, internal audits and critiques have highlighted flaws such as language processing inaccuracies, over-reliance on algorithmic recommendations, and a lack of transparency in distinguishing between AI-derived and human-sourced intelligence. Critics argue this automation has lowered thresholds for collateral damage, raising civilian death tolls. The shift to AI-centric operations has also sparked debates within the IDF, with concerns about the erosion of traditional intelligence practices and compromised decision-making integrity. These challenges underline the ethical and operational dilemmas posed by the use of AI in modern warfare.

Tenstorrent and the State of AI Hardware Startups
Here is an excellent (and entertaining) analysis of Tenstorrent and why, according to

, Tenstorrent is one of the few AI hardware startups that makes sense. The piece explains in detail what Tenstorrent brings to the table and why they are probably the only AI hardware startup capable of breaking Nvidia’s and semi-custom (Google TPU, Amazon Trainium, Microsoft Maia) silicon moats. The post also contains a good analysis of the AI hardware startup ecosystem.

Performance of LLMs on Advent of code 2024
Over December, thousands of programmers were solving Advent of Code—an annual Christmas-themed series of coding challenges. Many used this as an opportunity to build their own coding agents and see how good they are at solving sometimes very challenging algorithmic problems. This post shares the results of one such experiment, which used GPT-4o, Gemini 1.5 Pro and Claude 3.5 Sonnet.

ChatGPT search vs. Google: A deep dive analysis of 62 queries
How does ChatGPT Search compare to Google Search? Here is a deep dive analysis comparing both search engines across 62 queries in various categories. The conclusion of this analysis is that Google Search remains the better solution for most searches, with ChatGPT Search being surprisingly competitive when it comes to informational queries.

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Nvidia’s next move: Powering humanoid robots
After conquering AI, Nvidia is focusing on the next big thing: robotics. Nvidia aims to be an OEM supplier, supporting the global community of robot makers rather than competing directly with manufacturers such as Tesla. The company took steps towards this goal in 2024 and it looks like to double down on this approach in 2025 with the launch of a new generation of compact computers for humanoid robots, called Jetson Thor, in the first half of the year.

Figure AI ships Figure 02 humanoid robots to a paying customer
Brett Adcock, the CEO of Figure AI, shared on LinkedIn that the robotics startup has become revenue-generating and has delivered its Figure 02 humanoid robots to an undisclosed commercial client. Figure AI emerged from stealth in January 2023 and has rapidly developed, iterated, and tested humanoid robots. In 2023, the company raised $70 million in Series A funding and later secured a $675 million Series B round in 2024, with OpenAI among its investors.

BYD officially enters humanoid robot race as global talent search kicks off
A new player is entering the already crowded humanoid robotics scene. BYD, a leading Chinese EV maker, is joining the field of humanoid robots. Aside from announcing a global recruitment programme to attract top talent, targeting master’s and doctoral graduates from 2024–2025, details about BYD’s humanoid robot remain sparse.

Saudi Arabia invests in robots to help build its Neom desert megacity
Saudi Arabia is currently in the midst of several ambitious construction projects, including the Line megacity and the twin skyscrapers Epicon. The recently secured bid to host the FIFA World Cup 2034 is only set to fuel the country’s construction boom further. To tackle the massive projects ahead, Saudi Arabia is turning to robotics to help speed up construction and has made a significant investment in Europe’s GMT Robotics through Neom’s strategic investment arm, the Neom Investment Fund (NIF).

The future of mRNA: companies and trials to watch in 2025
The Covid-19 vaccines have propelled mRNA vaccines into the spotlight. This article explores what can we expect from mRNA vaccines in 2025. Companies like Moderna and BioNTech are focusing on personalized cancer vaccines and HIV treatments, while Pfizer is leveraging its infrastructure for flu, shingles, and rare disease therapies. Other players, such as CureVac and Arcturus, are exploring second-generation mRNA technologies and novel delivery methods.

Genetically edited mosquitoes haven’t scaled yet. Why?
Mosquitoes are among the deadliest organisms, responsible for spreading diseases such as malaria, dengue fever, and the Zika virus. In this post,

explains the concept of gene drives—a method of genetically modifying mosquitoes to either suppress their populations or introduce anti-pathogenic genes, potentially eliminating their ability to transmit deadly diseases. While gene drives hold significant promise, the article provides an overview of their mechanisms and highlights the technical challenges (e.g., resistance development and species-specific variability), ecological risks, and ethical concerns tied to their deployment.

In 2025, People Will Try Living in This Underwater Habitat
Science fiction is full of underwater habitats where people live and work tens or hundreds of metres below the surface. British startup Deep is on a mission to make that futuristic vision a reality, with the first step being the launch of Vanguard, a rapidly deployable, expedition-style underwater habitat the size of a shipping container, capable of housing three people at depths of about 100 metres. Testing is scheduled to begin in the first quarter of 2025. The startup then plans to launch Sentinel, a permanent modular habitat system, in 2027. Deep hopes that its permanent underwater habitats will benefit marine science and drive advancements in marine engineering and advanced manufacturing techniques.

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Noticias

100 best ChatGPT prompts for business

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As a writer and business professional constantly balancing deadlines, strategy sessions, and content creation, I’m always looking for tools that can boost productivity without compromising quality. That’s what initially led me to ChatGPT.

At first, I only used it for the basics: brainstorming blog post ideas, generating article outlines, and fine-tuning first drafts. It was a handy writing assistant, but I didn’t see it as much more than that. 

Then, I started hearing stories from other entrepreneurs using ChatGPT in ways I hadn’t even considered — refining marketing strategies, optimizing business workflows, and automating customer service. That’s when it hit me: I had barely scratched the surface.

Could ChatGPT help streamline my business operations? Could it take my marketing game to the next level? I had to find out.

But I quickly realized that ChatGPT is only as powerful as the prompts you give it; generic prompts led to generic responses. But with the right prompts, the results were game-changing.

So, I set out on a deep dive. I spent days researching, experimenting, and fine-tuning prompts across various business functions. The goal was to unlock ChatGPT’s full potential and make it a true asset for business owners, marketers, and professionals like you.

Here’s what I found.

TL;DR: Key takeaways from this article

  • The right ChatGPT prompts can significantly enhance business productivity.
  • Vague prompts lead to mediocre results; specific, well-structured prompts unlock ChatGPT’s full potential.
  • ChatGPT can be a powerful tool for marketing, content creation, customer service, data analysis, and business strategy.
  • Continuously refining and experimenting with prompts improves both accuracy and effectiveness.
  • Hands-on testing reveals what truly works and what doesn’t when you use ChatGPT for business.

What is ChatGPT?

ChatGPT, short for Chat Generative Pre-trained Transformer, is an advanced AI-powered language model designed to facilitate natural, human-like conversations. Built on impressive natural language processing (NLP) technology, it enables users to interact with AI in a way that feels intuitive, seamless, and highly responsive.

Beyond casual conversations, ChatGPT has become a powerful tool for business professionals, content creators, and marketers. When prompted effectively, it can assist with everything from drafting personalized resumes and cover letters to generating strategic insights, refining customer service responses, and even streamlining complex workflows.

What is a ChatGPT prompt?

A ChatGPT prompt is the instruction or question you provide to the AI; it’s the foundation of the response you’ll receive. Think of it as giving directions to a GPS; the more specific you are, the better the AI can navigate toward the result you want.

For business writing, a vague prompt like “Summarize my experience in marketing” will generate a broad response. Instead, refining it to “Highlight how I developed and executed a content strategy that increased organic traffic by 150% in six months, detailing key challenges and strategies used” will produce a more specific and impactful output.

The key to unlocking ChatGPT’s full potential lies in precision and clarity. The more specific your instructions, the better the AI can deliver responses that align with your needs, it doesn’t matter if it’s marketing strategies or customer engagement.

Why I turned to ChatGPT for business productivity

My initial goal with ChatGPT was simple: streamline business tasks and boost efficiency. I wanted to see if AI could help with marketing ideas, customer service responses, and other essential operations.

At first, my prompts were too broad, which led to generic, uninspired responses. However, once I started refining my approach and making my instructions more detailed and specific, ChatGPT’s output quality improved dramatically.

How I researched and tested ChatGPT prompts

To find the most effective business prompts, I took a hands-on approach:

  • Studying high-performing prompts from experts.
  • Experimenting with different levels of specificity.
  • Tweaking and iterating based on the responses I received.
  • Comparing ChatGPT’s output to human-generated content to gauge effectiveness.

Through this process, I identified the most valuable ChatGPT prompts for various business functions. Below are the ones I’ve personally tested and found to be game-changers.

My favorite 100 ChatGPT prompts for business (categorized by section)

After extensive testing and refinement, I’ve compiled a list of 100 must-use ChatGPT prompts designed to enhance productivity across various business functions. If you need help with marketing, customer service, content creation, or data analysis, these prompts will help you unlock ChatGPT’s full potential.

To make things easier, I’ve categorized them by function, so you can quickly find the ones that fit your needs. 

Note:: You may have to copy and paste examples and references to get better results. 

Let’s get in.

1. Prompt for generating business ideas 

Coming up with innovative business ideas is more than just about brainstorming; it’s about identifying market gaps, leveraging trends, and considering unique angles. From budding entrepreneurs to established business leaders looking to pivot, these ChatGPT prompts will help spark fresh, viable ideas tailored to your needs.

1. Prompt: “Create five innovative business ideas for a [specific industry] targeting [specific audience] with a budget of [amount].”

Example: “Create five innovative business ideas for the fitness industry targeting busy professionals with a budget of $10,000.”

2. Prompt: “Highlight niche markets in [industry] with growth potential and explain why they are promising.”

Example: “Highlight niche markets in the pet industry with growth potential and explain why they are promising.”

3. Prompt: “Examine current trends in [industry] and suggest creative ways they could be applied to new business models.”

Example: “Examine current trends in the AI industry and suggest creative ways they could be applied to small business solutions.”

4. Prompt: “Analyze the competitive landscape of [industry] and suggest untapped business opportunities.”

Example: “Analyze the competitive landscape of the online education industry and suggest untapped business opportunities.”

5. Prompt: “Conceptualize business solutions focused on sustainability in [industry], explaining how [specific job roles] can thrive in this space.”

Example: “Conceptualize business solutions focused on sustainability in the fashion industry, explaining how independent designers can thrive in this space.”

6. Prompt: “Identify business ideas that leverage emerging technology in [industry] and outline potential challenges and benefits.”

Example: “Identify business ideas that leverage blockchain technology in the real estate industry and outline potential challenges and benefits.”

7. Prompt: “Develop five business ideas based on solving common frustrations experienced by [specific group].”

Example: “Develop five business ideas based on solving common frustrations experienced by remote workers.”

8. Prompt: “Suggest three business ideas that could work in a low-competition market in the [industry] and explain how you came to that conclusion.”

Example: “Suggest three business ideas that could work in a low-competition market in the home automation space and explain how you came to that conclusion.”

9. Prompt: “Generate business ideas that align with [specific group] consumer preferences and purchasing behavior.”

Example: “Generate business ideas that align with Gen Z consumer preferences and purchasing behavior.”

10. Prompt: “Propose a business idea that can be launched with minimal startup costs and explain the step-by-step process.”

2. Prompt for content creation

Creating compelling content requires strategy, audience alignment, and optimization. These ChatGPT prompts will help you generate high-quality content that resonates with your audience and they cover blog posts, website copy, social media, or YouTube script.

11. Prompt: “Write a compelling blog post outline on [topic] that appeals to [target audience] and includes three key takeaways.”

Example: “Write a compelling blog post outline on ‘Sustainable Fashion Trends in 2025’ that appeals to eco-conscious consumers and includes three key takeaways.”

12. Prompt: “I’m writing content for a website that focuses on [niche]. Based on the site’s niche, come up with a list of [number] engaging, informative topics that reflect search intent, reinforce its topical authority, and provide interlinking opportunities. For each topic, include:

  • Why you chose it
  • How it relates to the site’s identity
  • What angles should be used for the post
  • A detailed outline
  • Potential interlinking opportunities”

Example: “I’m writing content for a website that focuses on personal finance. Based on the site’s niche, come up with a list of 10 engaging, informative topics that reflect search intent, reinforce its topical authority, and provide interlinking opportunities. For each topic, include: 

  • Why you chose it
  • How it relates to the site’s identity
  • What angles should be used for the post
  • A detailed outline”

13. Prompt: “I’m not happy with your output below because [reasons]. Please rewrite this passage and make sure the new output rectifies these issues.”

Example: “I’m not happy with your output below because it lacks detail, and where it does have detail, it’s too verbose. Please rewrite this passage and ensure the new output is concise yet informative.”

14. Prompt: “The post below aims to [explain/define/compare] [concept/idea/suggestion]. Please review and critique it for me, while paying particular attention to the richness of details, readability, engagement, tone, and contextual flow. Provide a rationale with your feedback and offer suggestions to improve the content.”

Example: “The post below aims to compare different AI writing tools. Please review and critique it for me, while paying particular attention to the richness of the detail, readability, engagement, tone, and contextual flow. Provide a rationale with your feedback and offer improvement suggestions.”

15. Prompt: “Create a YouTube script outline for a video titled ‘[Title]’. The script should be structured with an engaging hook, an introduction, main content points, and a call to action.”

Example: “Create a YouTube script outline for a video titled ‘How to Start a Profitable Dropshipping Business in 2025.’ The script should include an engaging hook, introduction, main content points, and a call to action.”

16. Prompt: “Generate five YouTube video ideas for a channel focused on [niche], ensuring they have high engagement potential and SEO value. For each idea, include a suggested title, target audience, and key talking points.”

Example: “Generate five YouTube video ideas for a channel focused on personal finance, ensuring they have high engagement potential and SEO value. For each idea, include a suggested title, target audience, and key talking points.”

17. Prompt: “Write a YouTube video description for a video about [topic]. Include a compelling summary, relevant keywords, and a CTA that encourages engagement.”

Example: “Write a YouTube video description for a video about ‘The Best AI Tools for Productivity in 2025.’ Include a compelling summary, relevant keywords, and a CTA that encourages engagement.”

18. Prompt: “Come up with five engaging X (formerly Twitter) threads on [topic]. Each thread should be structured with a compelling first tweet, key insights, and a closing tweet that encourages discussion.”

Example: “Generate five engaging X (formerly Twitter) threads on ‘How to build multiple streams of income.’ Each thread should be structured with a compelling first tweet, key insights, and a closing tweet that encourages discussion.”

19. Prompt: “Based on the list of keywords below, give me [number] Instagram and TikTok topics for a brand focused on [niche/business]. Explain why it fits.”

Example: “Based on the keywords ‘AI writing tools, content automation, and SEO optimization,’ give me five Instagram and TikTok topics for a brand focused on digital marketing. Explain why each topic fits the blog’s identity.”

20. Prompt: “Write an engaging LinkedIn post about [topic] that positions me as a thought leader in [industry]. Ensure it starts with a strong hook, provides valuable insight, and ends with a call to action.”

Example: “Write an engaging LinkedIn post about ‘The future of AI in content marketing’ that positions me as a thought leader in digital marketing. Ensure it starts with a strong hook, provides valuable insight, and ends with a call to action.”

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3. Prompts for teambuilding and management 

21. Prompt: “You are a leadership coach. Guide me through fostering a high-performance team culture in a [work arrangement] environment. Include specific strategies for communication, accountability, and motivation.”

Example: “You are a leadership coach. Guide me through fostering a high-performance team culture in a remote or hybrid work environment. Include specific strategies for communication, accountability, and motivation.”

22. Prompts: “I manage a diverse team, and conflicts sometimes arise. Provide a step-by-step conflict resolution framework that promotes healthy discussions and strengthens team relationships.”

23. Prompt: “As an HR leader, I want to boost employee engagement and reduce turnover. Share actionable strategies for creating a workplace where employees feel valued, motivated, and aligned with company goals.”

24. Prompt: “Many of my managers struggle with delegation. Outline a method for effective delegation that empowers employees while ensuring accountability, without falling into the trap of micromanagement.”

25. Prompt: “I’ve recently been promoted to a managerial role. What are the key leadership skills I need to develop, and how can I transition smoothly from an individual contributor to a team leader?”

4. Prompts for productivity and time management 

26. Prompt: “I struggle with procrastination and managing my time effectively. How can AI tools like ChatGPT help me break tasks into manageable steps and stay on track?”

27. Prompt: “Help me design a productivity-boosting daily routine using principles from time management frameworks like the Eisenhower Matrix or Pomodoro Technique.”

28. Prompt: “In a fast-paced work environment, it’s hard to find uninterrupted focus time. Provide strategies to balance deep work sessions with necessary meetings, without losing productivity.”

5. Prompts for legal and compliance

29. Prompt: “I’m starting a [type of business] in [location]. What are the key legal requirements I should be aware of (e.g., business structure, contracts, intellectual property, compliance) to avoid costly mistakes?”

Example: “I’m starting a hair salon business in Nigeria. What are the key legal requirements I should be aware of (e.g., business structure, contracts, intellectual property, compliance) to avoid costly mistakes?”

30. Prompts: “My company operates an online platform. Guide me through the essential steps to ensure compliance with global data privacy laws like GDPR and CCPA, while maintaining a user-friendly experience.”

6. Prompt for customer service responses and satisfaction 

Customer service is a critical part of any business, and AI-powered responses can help streamline communication while maintaining professionalism, empathy, and efficiency. These ChatGPT prompts will help craft thoughtful, customer-focused interactions that enhance satisfaction and retention.

31. Prompt: “Generate a polite and professional response to a customer complaint about [issue]. Ensure the response acknowledges the frustration, apologizes for the delay and offers a resolution.”

Example: “Generate a polite and professional response to a customer complaint about a delayed shipment. Ensure the response acknowledges the frustration, apologizes for the delay and offers a resolution.”

32. Prompt: “Recommend best practices for [industry] customer service, focusing on improving response times, handling difficult customers, and increasing satisfaction.”

Example: “Recommend best practices for eCommerce customer service, focusing on improving response times, handling difficult customers, and increasing satisfaction.”

33. Prompt: “Write a friendly and professional response to a customer inquiry about [product/service], ensuring clarity and enthusiasm.”

Example: “Write a friendly and professional response to a customer inquiry about the features of our premium subscription plan, ensuring clarity and enthusiasm.”

34. Prompt: “Craft a personalized follow-up email for a customer who recently purchased [product/service], thanking them and offering [additional support or a discount for their next purchase].”

Example: “Craft a personalized follow-up email for a customer who recently purchased a fitness tracker, thanking them and offering tips on how to maximize its features.”

35. Prompt: “Generate an apology email for a customer who experienced [specific issue], ensuring the response acknowledges the problem, expresses regret, and provides a resolution or compensation.”

Example: “Generate an apology email for a customer who received a defective product, ensuring the response acknowledges the problem, expresses regret, and provides a resolution or compensation.”

36. Prompt: “Create a chatbot script that can handle frequently asked questions about [product/service], including pricing, delivery times, and subscription options. The script should be friendly, concise, and direct users to additional resources when needed.”

Example: “Create a chatbot script that can handle frequently asked questions about our meal delivery service, including pricing, delivery times, and subscription options. The script should be friendly, concise, and direct users to additional resources when needed.”

37. Prompt: “Write a response for a customer who left a negative review about [issue], turning the situation around with professionalism and a proactive solution.”

Example: “Write a response for a customer who left a negative review about slow customer support, turning the situation around with professionalism and a proactive solution.”

38. Prompt: “Draft a concise and engaging survey email asking customers to rate their experience with [product/service] and provide feedback for improvement.”

Example: “Draft a concise and engaging survey email asking customers to rate their experience with our mobile banking app and provide feedback for improvement.”

39. Prompt: “Create a polite yet firm response for a customer requesting a refund on a [product/service] outside the return policy window, explaining the policy while offering alternative solutions and maintaining good customer relations.”

Example: “Create a polite yet firm response for a customer requesting a refund on a digital product outside the return policy window, explaining the policy while offering alternative solutions and maintaining good customer relations.”

40. Prompt: Generate a warm and personalized thank-you message for a customer who has been subscribed to our service for three years, recognizing their loyalty and offering a discount on their next renewal.”

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7. Prompt for data analysis summaries

Data analysis is crucial for making informed business decisions. These ChatGPT prompts will help generate clear, actionable summaries of complex data, making it easier to extract insights and apply them effectively.

41. Prompt: “Summarize key findings from the [type] data report below in simple, actionable insights for a business owner.”

Example: “Summarize key findings from the quarterly sales report below in simple, actionable insights for a retail store owner.”

42. Prompt: “Generate this industry report summary based on the latest data trends in [industry], highlighting key takeaways and future projections.”

Example: “Generate this   industry report summary based on the latest data trends in the fintech sector, highlighting key takeaways and future projections.”

43. Prompt: “Analyze an in-house survey on [topic] and summarize key patterns, customer sentiment, and recommended next steps.”

Example: “Analyze an in-house survey on customer satisfaction with our online store and summarize key patterns, customer sentiment, and recommended next steps.”

44. Prompt: “Provide a high-level executive summary of a complex data analysis report on [topic] for [a professional], ensuring clarity and relevance to stakeholders.”

Example: “Provide a high-level executive summary of a complex data analysis report on employee performance metrics for HR executives, ensuring clarity and relevance to stakeholders.”

45. Prompt: “Break down a market research report on [subject] into digestible bullet points that highlight growth opportunities, risks, and competitor analysis.”

Example: “Break down a market research report on electric vehicles into digestible bullet points that highlight growth opportunities, risks, and competitor analysis.”

46. Prompt: “Translate technical data from [source] into a clear, engaging summary for a [non-technical audience], focusing on key insights and business impact.”

Example: “Translate technical data from a cybersecurity risk assessment into a clear, engaging summary for company executives, focusing on key insights and business impact.”

47. Prompt: “Draft a one-page report summarizing recent data trends in [area], including visual representation recommendations (charts, graphs, or infographics).”

Example: “Draft a one-page report summarizing recent data trends in consumer spending behavior, including visual representation recommendations (charts, graphs, or infographics).”

48. Prompt: “Analyze sales performance data from [period] and generate an insightful summary, highlighting successes, areas for improvement, and strategic recommendations.”

Example: “Analyze sales performance data from Q1 2024 and generate an insightful summary, highlighting successes, areas for improvement, and strategic recommendations.”

8. Prompt for business strategy brainstorming

Writing a winning business strategy requires creativity, foresight, and data-driven insights. The right prompts can help you uncover innovative growth opportunities, competitive advantages, and long-term sustainability plans. 

These prompts will guide ChatGPT to generate actionable strategies tailored to your business needs.

49. Prompt: “List five creative business growth ideas for a startup in [industry] based on emerging trends.”

Example: “List five creative business growth ideas for a startup in the fitness tech industry based on emerging trends.”

50. Prompt: “Identify three strategic partnerships a [business type] could form to expand its market reach and explain the benefits of each.”

Example: “Identify three strategic partnerships a small SaaS company could form to expand its market reach and explain the benefits of each.”

51. Prompt: “Develop a competitive differentiation strategy for a [business type] that wants to stand out in a crowded market.”

Example: “Develop a competitive differentiation strategy for an online bookstore that wants to stand out in a crowded market.”

52. Prompt: “Analyze the strengths and weaknesses of [business model] and suggest ways to optimize profitability and efficiency.”

Example: “Analyze the strengths and weaknesses of a subscription-based eCommerce business and suggest ways to optimize profitability and efficiency.”

53. Prompt: “Suggest three pivot strategies for a struggling [business type] and explain the potential risks and rewards.”

Example: “Suggest three pivot strategies for a struggling local coffee shop and explain the potential risks and rewards.”

54. Prompt: “Generate an actionable five-step plan for scaling a [business type] from a small operation to a national brand.”

Example: “Generate an actionable five-step plan for scaling a handmade skincare business from a small operation to a national brand.”

55. Prompt: “Brainstorm ways a [business type] can leverage AI and automation to improve efficiency and reduce costs.”

Example: “Brainstorm ways a logistics company can leverage AI and automation to improve efficiency and reduce costs.”

56. Prompt: “Outline a market entry strategy for a [business type] looking to expand into [new region or country].”

Example: “Outline a market entry strategy for a fintech startup looking to expand into Southeast Asia.”

57. Prompt: “Identify potential revenue streams for a [business type] beyond its core product or service and explain their feasibility.”

Example: “Identify potential revenue streams for a podcast production company beyond its core service and explain their feasibility.”

58. Prompt: “Craft a long-term sustainability strategy for a [business type] that prioritizes profitability, social impact, and environmental responsibility.”

Example: “Craft a long-term sustainability strategy for an eco-friendly fashion brand that prioritizes profitability, social impact, and environmental responsibility.”

9. Prompt for email outreach and business communications

Effective business communication requires clarity, professionalism, and a tone suited to the situation. Whether you’re announcing a product, handling customer concerns, or sending a persuasive marketing email, the right prompt can help ChatGPT craft messages that drive engagement and achieve your goals.

59. Prompt: “Write an email announcing [describe the announcement details]. The email is intended for [describe audience]. Please use a [formal/informal/celebratory/somber] tone and style.”

Example: “Write an email announcing our company’s rebranding. The email is intended for existing customers and partners. Please use a formal yet enthusiastic tone.”

60. Prompt: “Please write a compelling, engaging email for a marketing campaign for [product]. The product is [overview/features/benefits/target users]. This product is [being launched/discounted] on [date]/from [date] to [date]. The call to action is [insert CTA].”

Example: “Please write a compelling, engaging email for a marketing campaign for our new AI-powered CRM tool. The product helps small businesses automate customer interactions, track engagement, and improve retention. This product is being launched on March 15. The call to action is ‘Sign up for early access now!’ “

61. Prompt: “Write an email inviting recipients to [event description and purpose]. The event will take place at [venue, time, date]. [Share other pertinent details — dress code, program, etc., as needed]. Ask the invitees to RSVP by [time/date].”

Example: “Write an email inviting recipients to our annual networking event for startup founders. The event will take place at The Grand Hotel, Downtown, on April 20 at 6 PM. Dress code: business casual. Please RSVP by April 10.”

62. Prompt: “Write a professional yet polite email declining an invitation to [event/meeting], expressing appreciation and suggesting an alternative [solution].”

Example: “Write a professional yet polite email declining an invitation to a panel discussion on AI ethics, expressing appreciation and suggesting an alternative date for a one-on-one conversation.”

63. Prompt: “Write an email requesting [specific information, service, or action] from [recipient]. Ensure the tone is professional, clear, and respectful.”

Example: “Write an email requesting updated pricing information from a supplier. Ensure the tone is professional, clear, and respectful.”

64. Prompt: “Write an apology email addressing [describe the issue], ensuring the tone is sincere, professional, and solution-oriented.”

Example: “Write an apology email addressing a shipment delay, ensuring the tone is sincere, professional, and solution-oriented.”

65. Prompt: “Refine the following email where I request a meeting with a potential investor, making it sound more professional and polished while keeping it concise and engaging.”

66. Prompt: “Make this email more engaging and persuasive while maintaining professionalism. Ensure the CTA stands out.”

Example: “Make this email promoting our new software update more engaging and persuasive while maintaining professionalism. Ensure the CTA to ‘Download the update now’ stands out.”

67. Prompt: “Write an out-of-office email response for [reason: vacation, business trip, etc.], including an alternative contact for urgent matters.”

Example: “Write an out-of-office email response for my vacation from March 10–20, including an alternative contact for urgent matters.”

68. Prompt: “Generate five catchy and effective subject lines for an email about [topic], ensuring they encourage open rates and engagement.”

Example: “Generate five catchy and effective subject lines for an email announcing our summer sale on digital marketing courses.”

10. Prompts for spotting errors in drafts

Editing and proofreading are essential to producing high-quality content. Need help with reviewing an article, email, or business proposal? These prompts help ChatGPT identify and correct errors, improve clarity, and enhance readability.

69. Prompt: “Review the following draft and identify any grammar, spelling, or punctuation errors. Provide suggestions for improvement.”

70. Prompt: “Analyze the readability of this [specific text] and suggest ways to make it clearer and more engaging for [target audience].”

Example: “Analyze the readability of this blog post on personal finance and suggest ways to make it clearer and more engaging for young professionals.”

71. Prompt: “Check this [draft] for redundancy, awkward phrasing, or unnecessary filler words. Provide a revised version with improved flow.”

Example: “Check this executive summary for redundancy, awkward phrasing, or unnecessary filler words. Provide a revised version with improved flow.”

72. Prompt: “Highlight any inconsistencies in tone, voice, or style within this [draft]. Offer suggestions to maintain a cohesive writing style.”

Example: “Highlight any inconsistencies in tone, voice, or style within this social media campaign copy. Offer suggestions to maintain a cohesive writing style.”

73. Prompt: “Review this [draft] for factual accuracy. Cross-check any data points, statistics, or references and flag potential errors.”

Example: “Review this market research report for factual accuracy. Cross-check any data points, statistics, or references and flag potential errors.”

74. Prompt: “Assess the structure and logical flow of this [draft]. Suggest improvements to enhance coherence and readability.”

Example: “Assess the structure and logical flow of this white paper on AI trends. Suggest improvements to enhance coherence and readability.”

75. Prompt: “Rewrite this [text] to improve clarity, conciseness, and impact without altering its core message.”

Example: “Rewrite this introduction for a business proposal to improve clarity, conciseness, and impact without altering its core message.”

11. Prompts for sales enablement 

A great sales pitch is all about persuasion, relatability, and problem-solving. The prompts below will help refine sales strategies, craft compelling messages, and create engaging pitches tailored to specific audiences.

76. Prompt: “Craft a persuasive sales email for [product/service] targeting [customer segment]. Highlight its unique benefits, including a strong CTA, and keep the tone [formal/informal/enthusiastic].”

Example: “Craft a persuasive sales email for a productivity app targeting remote workers. Highlight its unique benefits, including a strong CTA, and keep the tone enthusiastic.”

77. Prompt: “Generate a cold sales call script for [product/service] targeting [customer profile]. The script should start with a strong hook, address common objections, and end with a compelling call to action.”

Example: “Generate a cold sales call script for cybersecurity software targeting small business owners. The script should start with a strong hook, address common objections, and end with a compelling call to action.”

78. Prompt: “Create a persuasive product comparison between [your product] and [competitor’s product]. Emphasize key differentiators and why customers should choose yours.”

Example: “Create a persuasive product comparison between our AI-powered writing assistant and Grammarly. Emphasize key differentiators and why customers should choose ours.”

79. Prompt: “Write a short, engaging sales pitch for [product/service] that can be used in a social media ad. Keep it under [character/word count] and include a strong call to action.”

Example: “Write a short, engaging sales pitch for a fitness tracker that can be used in a Facebook ad. Keep it under 50 words and include a strong call to action.”

80. Prompt: “Create a sales pitch for [product/service]. The target consumers of the product/service are [consumer description], and the pitch itself is aimed at [describe pitch audience]. Make sure the sales pitch acknowledges key pain points and is tailored to the audience.”

Example: “Create a sales pitch for a meal subscription service. The target consumers are busy professionals, and the pitch itself is aimed at health-conscious individuals. Make sure the sales pitch acknowledges their lack of time and desire for nutritious meals.”

12. Prompts for marketing strategy 

Marketing is about storytelling, positioning, and reaching the right audience at the right time. These prompts help create targeted marketing strategies that align with business goals, customer needs, and budget constraints.

81. Prompt: “We are a business specializing in [describe the business and its products/services]. Our target consumers are [describe target demographic in detail], and our marketing budget is [outline budget]. Please write a sales and marketing plan that [generates leads/drives sales/builds brand awareness, etc.].”

Example: “We are a business specializing in organic skincare products for individuals with sensitive skin. Our target consumers are eco-conscious women aged 25-40 who prefer sustainable beauty solutions, and our marketing budget is $20,000 per quarter. Please write a sales and marketing plan that increases brand awareness and drives e-commerce sales.”

82. Prompt: “Create a step-by-step digital marketing strategy for [product/service] targeting [audience] with a budget of [$X]. Include SEO, social media, email marketing, and paid ads.”

Example: “Create a step-by-step digital marketing strategy for an AI-powered writing tool targeting freelance writers and content creators with a budget of $10,000 per month. Include SEO, social media, email marketing, and paid ads.”

83. Prompt: “Develop a content marketing plan for a [business type] that wants to establish thought leadership. Suggest blog post topics, video ideas, and social media content that appeal to [target audience].”

Example: “Develop a content marketing plan for a fintech startup that wants to establish thought leadership. Suggest blog post topics, video ideas, and social media content that appeal to young investors and first-time traders.”

84. Prompt: “We are launching a new [product/service] and need a go-to-market strategy. Outline key steps for product positioning, messaging, promotional tactics, and distribution channels.”

Example: “We are launching a new smart home security system and need a go-to-market strategy. Outline key steps for product positioning, messaging, promotional tactics, and distribution channels.”

85. Prompt: “Analyze the marketing strategies of [competitor’s business] and suggest ways we can differentiate our brand while targeting the same audience.”

Example: “Analyze the marketing strategies of Tesla and suggest ways we can differentiate our new electric car brand while targeting the same audience.”

13. Prompts for business plan [5]

A well-structured business plan is the foundation of any successful venture. These prompts help refine, assess, and create business plans that are investor-ready, realistic, and goal-oriented.

86. Prompt: “I need you to do a feasibility assessment of my business concept. Business concept: [describe business concept], target market: [describe market], competitors include: [list competitors with their market shares], potential challenges: [list barriers]. My financial projections are as follows: [outline startup capital/costs, operational expenses, and projected revenue]. Operations plan involves [summarize the plan].”

Example: “I need you to do a feasibility assessment of my business concept. Business concept: A subscription-based meal prep service for busy professionals. Target market: Urban professionals aged 25-45 who prioritize healthy eating but lack time to cook. Competitors include HelloFresh (40% market share) and Blue Apron (30%). Potential challenges: High customer acquisition costs and supply chain logistics. Financial projections estimate $150,000 in startup costs, $10,000 in monthly operational expenses, and $500,000 in revenue by Year 2. The operations plan includes sourcing organic ingredients from local farms and partnering with fitness influencers for marketing.”

87. Prompt: “I need you to write a business plan for my company, [business name]. We offer [product/service]. Our business model is [describe business model]. Our startup capital is [outline capital], and our operational costs are [state the costs]. Current revenue is [state revenue], projected to grow to [state revenue and forecast period]. Our competitors include [list competitors], but our competitive edge is [explain any advantage you have over the competition]. Additional funding will help [explain how funding will help meet objectives]. Stakeholders include [list stakeholders with roles in business]. The tone of the business plan should be confident, professional, and engaging.”

Example: “I need you to write a business plan for my company, GreenTech Solar. We offer affordable solar panel solutions for homeowners. Our business model is a direct-to-consumer sales strategy with financing options. Our startup capital is $500,000, and our operational costs are $20,000 per month. Current revenue is $200,000 per year, projected to grow to $1M in three years. Our competitors include Tesla Solar and Sunrun, but our competitive edge is lower pricing and flexible payment plans. Additional funding will help expand marketing and establish partnerships with local contractors. Stakeholders include founders, investors, and an engineering team. The tone of the business plan should be confident, professional, and engaging.”

88. Prompt: “Develop a one-page executive summary for a business plan on [business idea]. Ensure it includes the business concept, target market, revenue model, competitive advantage, and financial projections in a concise, compelling format.”

Example: “Develop a one-page executive summary for a business plan on a pet subscription box service. Include details about the business concept, target market (pet owners who prefer curated, organic pet products), revenue model (monthly subscription), competitive advantage (customization and eco-friendly packaging), and financial projections (estimated $2M revenue in three years).”

89. Prompt: “Create a SWOT analysis for [business name]. Identify its strengths, weaknesses, opportunities, and threats to better understand its strategic position in the market.”

Example: “Create a SWOT analysis for ‘UrbanFit,’ a boutique gym chain targeting millennials. Identify strengths (premium facilities, community focus), weaknesses (high membership fees), opportunities (rising demand for fitness tech integration), and threats (competition from budget gyms and at-home workout apps).”

90. Prompt: Review my business plan for [business idea]. Identify weak points, such as [weak points]. Then, pretend to be an investor and highlight concerns [list concerns].”

Example: “Review my business plan for a tech-enabled real estate brokerage. Identify weak points such as customer acquisition strategy, revenue projections, or scaling challenges. Then, pretend to be an investor and highlight concerns—such as high upfront costs or lack of differentiation from competitors.”

14. Prompts for invoicing templates

A professional invoice ensures timely payments and establishes credibility. These prompts help generate structured and clear invoicing templates for various business needs.

91. Prompt: “Create a professional invoice template for a freelancer [type of service]. The invoice should include [list necessary sections].”

Example: “Create a professional invoice template for a freelance graphic designer. The invoice should include client details, invoice number, issue date, project description (e.g., logo design, web banners), payment terms (net 30), and accepted payment methods (PayPal, bank transfer).”

92. Prompt: “Generate an itemized invoice template for a [small business] selling [products]. Include sections for product name, quantity, unit price, subtotal, taxes, discounts, and total amount due.”
Example: “Generate an itemized invoice template for a bakery selling custom cakes and pastries. Include sections for product name (e.g., wedding cake, cupcakes), quantity, unit price, subtotal, applicable taxes, discounts, and total amount due.”

93. Prompt: “Design an invoice template suitable for a [subscription-based service]. The template should include billing cycles, automated payment instructions, and late payment fees.”

Example: “Design an invoice template suitable for a subscription-based coworking space. The template should include billing cycles (e.g., due on the 1st of each month), automated payment instructions (credit card, direct debit), and late payment fees (5% after 7 days overdue).”

94. Prompt: “Create a simple invoice template for a [business]. It should have a professional format with sections for billable hours, hourly rate, total amount, and a customizable note for [additional details].”

Example: “Create a simple invoice template for a business consultant. It should have a professional format with sections for billable hours (e.g., 10 hours), hourly rate ($100/hr), total amount ($1,000), and a customizable note for project specifics or thank-you message.”

95. Prompt: “Generate a tax-compliant invoice template for [business]. Include tax ID, multi-currency display, and VAT/GST fields where applicable.”

Example: “Generate a tax-compliant invoice template for an eCommerce business selling internationally. Include tax ID (e.g., VAT ID), multi-currency display (USD, EUR), and VAT/GST fields where applicable.” 

15. Prompts for PR responses

Public relations (PR) responses help shape a company’s reputation and handle crises professionally. These prompts assist in crafting press releases, media statements, and responses to public concerns.

96. Prompt: “Write a press release announcing [company name]’s launch of a new [product/service]. Highlight the [unique selling points], release date, and quotes from [key executives].”

Example: “Write a press release announcing Kesla’s launch of a new solar-powered charging station. Highlight its eco-friendly features, release date, and quotes from CEO Eron Tusk on sustainable energy solutions and Operations Manager on the roll-out plan.”

97. Prompt: “Draft a crisis response statement addressing a [negative incident] involving [company name]. The statement should acknowledge the issue, express concern, explain the cause, apologize for the inconvenience, and outline corrective actions. Lastly, reassure stakeholders”

Example: “Draft a crisis response statement for addressing late orders complaints involving a food delivery company. The statement should acknowledge the delays, express concern, explain the cause (driver shortages), apologize for the inconvenience, and outline corrective actions (hiring more drivers, app improvements). Lastly, reassure stakeholders”

98. Prompt: “Create a media response for [name of brand] falsely accused of [misleading or false claim]. The response should provide clear [facts] to protect the brand’s credibility and restore trust.”

Example: “Create a media response for a skincare brand falsely accused of using harmful chemicals. The response should provide clear lab reports, regulatory approvals, and a professional rebuttal to protect the brand’s credibility and restore trust.”

99. Prompt: “Write a social media response for [business] dealing with [issue]. Acknowledge customer frustration, apologize, explain recovery efforts, and offer support for immediate resolution.”

Example: “Write a social media response for an airline dealing with lost luggage complaints. Acknowledge customer frustration, apologize, explain recovery efforts, and offer support for immediate resolution.”

100. Prompt: “Draft a proactive PR statement addressing potential concerns about [business decision]. Explain the reason [state reason], reassure users about added value, and offer promotional discounts for existing subscribers.”

Example: “Draft a PR statement addressing potential concerns about an increase in subscription prices by ZeZoA streaming service. Explain the reason (higher content production costs), reassure users about added value (more original content), and offer promotional discounts for existing subscribers.”

Why should business owners care about ChatGPT?

ChatGPT simplifies the way you run your business, offering speed, precision, and adaptability in one powerful tool. If you need instant insights, automated content creation, or enhanced customer interactions, ChatGPT delivers efficiency at scale.

But to truly unlock its potential, businesses must master the art of prompting, giving clear, well-structured commands to get high-quality, relevant responses.

How to write pro-level ChatGPT Prompts for your business

Having explored why businesses should use ChatGPT, let’s see how you can craft good prompts.

Here are 10 best practices to get the most out of ChatGPT for your business:

1. Set a clear goal

Before you type a prompt, define what you need. Are you looking for a blog post, a product description, or a press release? 

A clear objective helps guide the AI to deliver precise and useful content.

Instead of saying “Write something about my company,” write “Draft a compelling ‘About Us’ section for my eCommerce website, highlighting innovation and customer satisfaction.”

2. Know your audience

Who are you speaking to? Tailor your prompt by specifying demographics, pain points, and interests.

Prompting “Write a sales email” is basic. Try “Create a persuasive email targeting small business owners, emphasizing how our accounting software saves them time and money.”

3. Provide context

ChatGPT isn’t a mind reader; you have to give it the information it needs. Include industry specifics, company values, and content length preferences.

Don’t just write “Write a product description.” Be as detailed as possible: “Write a 150-word product description for our new AI-powered CRM, focusing on automation, ease of use, and customer retention benefits.”

4. Be direct

Powerful prompts start with strong action words like “write,” “generate,” “outline,” or “draft.”

For example, “Outline a step-by-step social media marketing strategy for a B2B SaaS company with a limited budget” works better than “Tell me about social media marketing.”

5. Simplify topics

For intricate subjects, provide an overview/key points to ensure clarity.

ChatGPT might not provide as much detail if you simply ask, “Explain venture capital.” But if you refine your request to “Explain venture capital funding in simple terms, including seed rounds, Series A, B, and C, and what investors look for,” you’ll get a far more structured and insightful response.

6. Specify tone and style

Do you want a formal, conversational, persuasive, or humorous tone?

“Write a press release for startup’s $5 million funding round,” is not as good as “Write a formal press release announcing our startup’s $5 million funding round, with a professional and optimistic tone.”

7. Refine and iterate

Your first attempt might not be perfect. Adjust and experiment to get the best result. It could be as simple as “Rewrite this business pitch to sound more engaging and investor-focused.”

8. Provide examples or references

Help ChatGPT understand your vision by referencing existing content, brands, or competitors. “Write a brand mission statement inspired by Apple and Tesla’s innovative, future-focused messaging” is a good example. 

9. Maintain control and fact-check

While ChatGPT is powerful, always review and verify its responses for accuracy and alignment with your brand. Don’t use AI-generated content mindlessly, always fact-check claims, ensure clarity, and refine language before publishing.

10. Use structured prompts 

Step-by-step instructions help ChatGPT generate clearer, more useful responses. 

Instead of a vague request like “Help me write a business plan,” try a structured prompt: “Guide me through writing a business plan. Start with the executive summary, then cover market analysis, business model, marketing strategy, and financial projections. Provide examples for each section.”

Breaking your request into specific steps ensures a more detailed and actionable response.

What I liked about using these prompts

Crafting well-structured prompts for ChatGPT helps you get the right response. Here’s why:

  1. Get the right information: A vague question leads to vague answers. Clear and specific prompts guide ChatGPT to deliver precise and relevant responses.
  2. Stay on topic: Poorly written prompts can lead to off-topic or generic responses. A focused prompt ensures ChatGPT provides useful insights tailored to your needs.
  3. Save time and minimize revisions: The better the prompt, the fewer follow-ups you’ll need. A well-defined request reduces back-and-forth clarifications, saving time and effort.
  4. Encourage creativity: Good prompts push ChatGPT to think beyond the obvious, helping you brainstorm fresh ideas and unique angles.
  5. Improve customer relations: In business settings, clear prompts help ChatGPT provide concise and helpful responses, improving customer interactions and decision-making.

What I to watch out for

While ChatGPT is a powerful tool, it’s not without its challenges. Even the best-crafted prompts can sometimes lead to limitations that businesses need to navigate carefully.

  1. Potential for inaccurate or biased responses: AI models generate answers based on patterns in data, which means businesses risk acting on incorrect details without verification. Always fact-check and refine outputs to align with industry standards and brand voice.
  2. Requires human touch: While ChatGPT can generate impressive content, it lacks emotional intelligence (it may struggle with nuanced messaging) and truly original thinking. Use ChatGPT as a starting point but refine outputs with human creativity and expertise.
  3. Security and data privacy risks: Since ChatGPT processes user inputs, businesses must be cautious with sensitive information (AI models do not provide built-in confidentiality) and compliance issues as sharing proprietary data could lead to security risks.

Solution: Avoid inputting confidential business data and use AI within privacy-compliant frameworks.

Other AI tools you can use for business

AI-powered tools can help businesses streamline tasks, enhance creativity, and boost productivity. Here are some top AI tools across various business functions:

1. Image generators and editors

  • Canva: An easy-to-use AI-powered design tool for creating social media posts, presentations, and marketing materials.
  • Adobe Firefly: AI-driven image generation and enhancement for professional design work.
  • Remove.bg: Automatically removes backgrounds from images for clean, professional visuals.

2. Video generators

  • Sora (by OpenAI): An AI-powered video generator that creates realistic and animated videos from text prompts.
  • Runway ML: AI-powered video editing, scene generation, and special effects automation.
  • Synthesia: AI-generated video avatars for presentations, marketing, and training content.

3. Logo generators

  • Looka: AI-powered logo maker that generates professional-quality logos based on business preferences.
  • Brandmark.io: AI-driven branding tool for logo creation and identity design.
  • Wix Logo Maker: Automated logo design tool with customization options.

4. Slide creators

  • Tome: AI-powered storytelling tool for generating engaging business presentations.
  • Beautiful.ai: AI-driven slide deck creator that automatically formats slides with professional design principles.
  • Gamma: AI-powered tool that helps turn raw ideas into polished presentations and documents.

5. Productivity AI tools

  • Notion AI: AI-powered workspace that assists with note-taking, summarization, and document organization.
  • ClickUp AI: AI-enhanced project management for workflow automation and task prioritization.
  • Grammarly: AI writing assistant for error-free business communication.

FAQs for the best ChatGPT prompts for business

How can ChatGPT help grow my business?

ChatGPT can assist with content creation, customer service, marketing strategies, and data analysis, helping businesses save time and improve efficiency.

What industries can benefit from ChatGPT prompts?

Almost any industry, including eCommerce, finance, healthcare, real estate, and education, can use AI-driven prompts for automation and insights.

Do I need technical skills to use ChatGPT for business?

No, ChatGPT is user-friendly, and well-crafted prompts can help any business owner leverage AI without coding knowledge.

Can ChatGPT help with business decision-making?

Yes, ChatGPT can analyze market trends, provide competitor insights, and suggest strategies based on data-driven responses.

Is ChatGPT suitable for small businesses?

Absolutely. Small businesses can use AI-generated content, automate responses, and optimize their workflow without hiring extra staff.

Final thought

My experience with ChatGPT has been eye-opening. The right prompts can transform AI from a generic chatbot into a powerful business assistant. If you’re looking to maximize productivity, I highly recommend experimenting with these prompts and refining them to fit your unique needs.

Disclaimer!

This publication, review, or article (“Content”) is based on our independent evaluation and is subjective, reflecting our opinions, which may differ from others’ perspectives or experiences. We do not guarantee the accuracy or completeness of the Content and disclaim responsibility for any errors or omissions it may contain.

The information provided is not investment advice and should not be treated as such, as products or services may change after publication. By engaging with our Content, you acknowledge its subjective nature and agree not to hold us liable for any losses or damages arising from your reliance on the information provided.

Always conduct your research and consult professionals where necessary.

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Noticias

El fundador de Chatbot de voz de Operai Backs Pyannoteai’a $ 9M Round para transformar los modelos de habla AI con inteligencia de altavoces – TFN

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La mayoría de los sistemas de IA de voz actuales se centran en gran medida en convertir el habla en texto. Si bien la transcripción es un componente crítico, a menudo pasa por alto capas más profundas de comunicación, especialmente quién está hablando, cómo están hablando y el contexto que rodea su discurso. Pyannoteai aborda esta brecha al introducir la inteligencia de los altavoces, una tecnología innovadora diseñada para identificar y diferenciar los altavoces con precisión, independientemente del lenguaje hablado o las condiciones acústicas.

Siendo un jugador notable en la inteligencia artificial de la inteligencia de los altavoces, la startup francesa ha recaudado $ 9 millones en fondos iniciales. La ronda fue dirigida por Crane Venture Partners y Serena, con la participación de los notables inversores ángeles Julien Chaumond, CTO de Huggingface, y Alexis Conneau, anteriormente de Meta y OpenAi y WaveForms AI Cofundador.

Con el financiamiento recién asegurado, Pyannoteai se está preparando para expandirse más allá del ecosistema de código abierto. La compañía planea lanzar soluciones de nivel empresarial que satisfagan las necesidades específicas de las empresas que buscan implementar la IA consciente de los oradores a escala. Estas soluciones estarán dirigidas a organizaciones que procesan grandes volúmenes de audio conversacional que requieren un reconocimiento preciso de los altavoces en tiempo real.

Resuelve un desafío de larga data en la IA conversacional

Hervé Bredin, Vincent Molina y Juan Coria fundaron Pyannoteai en 2024. La misión de la compañía es capacitar a los equipos globales con productos de clase mundial a través de una IA de discurso conversacional avanzada que cierra la brecha entre la transcripción y la comprensión completa de la conversación.

La inteligencia de los altavoces es particularmente importante en entornos donde están involucradas múltiples voces, como reuniones, llamadas de servicio al cliente o consultas médicas. En estos escenarios, comprender no solo lo que se dice sino quién lo dijo y cómo se entregó es vital. La tecnología de Pyannoteai asegura que los datos de voz conserven su contexto y se conviertan en una fuente más rica y confiable de ideas procesables para las organizaciones.

Uno de los desafíos clave en Voice AI es lidiar con un discurso espontáneo y sin guión. Las variaciones en el tono, el acento, el ritmo y la emoción agregan complejidad que las herramientas de transcripción tradicionales no están equipadas para manejar. Aquí es donde Pyannoteai se distingue. Su plataforma comienza identificando y separando diferentes altavoces con un alto grado de precisión, formando una base para un análisis conversacional más matizado.

Esta capa de diferenciación de altavoces es esencial para varias industrias. En la atención al cliente, por ejemplo, ayuda a distinguir entre las entradas de agente y cliente. En medios y entretenimiento, admite doblaje y subtitulación precisos. En la atención médica, permite que los datos de voz estén vinculados a profesionales o pacientes individuales para un mantenimiento de registros más preciso.

Crecimiento rápido en la adopción

El crecimiento de Pyannoteai ha sido alimentado en parte por su base de código abierto. Sus herramientas ya son utilizadas por más de 100,000 desarrolladores en todo el mundo y logran aproximadamente 45 millones de descargas cada mes en Huggingface. Este fuerte apoyo comunitario ha validado la demanda de diarización precisa de los altavoces y ha ayudado a la tecnología a madurar rápidamente.

El modelo premium de la compañía ofrece una precisión de clase mundial, un rendimiento de las soluciones de vanguardia en un 20%, al tiempo que procesa audio el doble de rápido que su contraparte de código abierto. Esta ventaja de rendimiento hace que la diarización del altavoz sea más accesible para las empresas de todos los tamaños al reducir significativamente los costos computacionales.

Habilita aplicaciones de voz de próxima generación

Al integrar la inteligencia de los altavoces en el centro de su oferta, Pyannoteai está preparando el escenario para una nueva generación de aplicaciones habilitadas por voz. Su tecnología tiene el potencial de mejorar todo, desde asistentes virtuales y servicios de transcripción hasta moderación de contenido y monitoreo de cumplimiento.

En lugar de tratar la voz únicamente como un medio para el texto transcrito, Pyannoteai alienta a los desarrolladores y empresas a tratarla como una fuente de información contextual de múltiples capas. Comprender quién habla y cómo se expresan abre nuevas dimensiones en cómo las máquinas interpretan la interacción humana.

La tecnología ya se está implementando en diversos casos de uso, como aplicaciones de transmisión en vivo que permiten el seguimiento de los altavoces instantáneos para la localización o la traducción simultánea durante los eventos, una capacidad crítica para industrias globalizadas como la producción de medios o las operaciones comerciales internacionales.

¿Qué sigue para la empresa?

Con su semilla redonda, Pyannoteai está posicionado para expandir su impacto en las industrias que dependen de datos de voz precisos y conscientes del contexto. Al centrarse en la inteligencia de los altavoces, la compañía está llenando una brecha crucial en la IA de la voz, cambiando el enfoque del simple reconocimiento de palabras a la comprensión completa de la conversación. Este enfoque no solo mejora la fiabilidad de las tecnologías de voz, sino que también allana el camino para más interacciones de IA humanas en el futuro.

“La tecnología del habla ha avanzado significativamente, sin embargo, aún no alcanza la imagen completa. La voz es más que solo palabras”, dijo Hervé Bredin, cofundador de Pyannoteai y ex científico de investigación de CNRS. “Durante una década, la tecnología Pyannote ha liderado el camino para distinguir a los altavoces y voces en conversaciones del mundo real, especialmente en entornos de alto riesgo donde se debe escuchar cada voz”.

“Estamos trayendo IA de inteligencia de altavoces de grado empresarial a las empresas que dependen de los datos de voz”, dijo Vincent Molina, cofundador de Pyannoteai. “Nuestro objetivo es hacer que la IA consciente de los oradores sea tan perfecta y universal como el discurso mismo”.

“Como dice el viejo dicho: ‘No es lo que dices, así es como lo dices’, y en el mundo de la voz de IA, esa distinción nunca ha sido más importante. Crane Venture Partners.

“Pyannoteai está redefiniendo la forma en que las empresas aprovechan los datos de voz, convirtiendo el discurso en bruto en inteligencia accionable. La experiencia del equipo en la diarización de los oradores no tiene paralelo, y su transición de un liderazgo de código abierto a las soluciones de IA de IA de grado empresarial marca un cambio de voz muy moderna de la voz de la voz de la voz de la voz de la voz. Se agregó Matthieu Lavergne, socio de Serena.

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The AI Power Play: How ChatGPT, Gemini, Claude, and Others Are Shaping the Future of Artificial Intelligence

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In 2025, companies such as OpenAI, Google, Anthropic, and emerging challengers like DeepSeek have pushed the boundaries of what large language models (LLMs) can do. Moreover, corporate solutions from Microsoft and Meta are making AI tools more accessible to enterprises and developers alike. This article explores the latest AI models available to the public, their advantages and drawbacks, and how they compare in the competitive AI landscape.

The Power and Performance of AI Models

AI models rely on extensive computational resources, particularly large language models (LLMs) that require vast datasets and processing power. The leading AI models undergo complex training procedures that involve billions of parameters, consuming significant energy and infrastructure.

Key AI players invest in cutting-edge hardware and optimization strategies to improve efficiency while maintaining high performance. The balance between computational power, speed, and affordability is a significant factor in differentiating these AI models.

The Competitive Landscape: Top AI Models

OpenAI’s ChatGPT

ChatGPT, developed by OpenAI, is one of the most recognizable and widely used AI models in the world. Built with a dialogue-driven format, ChatGPT is designed to answer follow-up questions, challenge incorrect premises, admit mistakes, and reject inappropriate requests. Its versatility has made it a leading AI tool for both casual and professional use, spanning industries such as customer service, content creation, programming, and research.

ChatGPT is ideal for a wide range of users, including writers, business professionals, educators, developers, and researchers. Its free-tier accessibility makes it an excellent starting point for casual users, while businesses, content creators, and developers can leverage its advanced models for enhanced productivity and automation.

It is also among the most user-friendly AI models available, featuring a clean interface, intuitive responses, and seamless interaction across devices. However, organizations that require custom AI models or stricter data privacy controls may find its closed-source nature restrictive, particularly compared to open-source alternatives like Meta’s LLaMA.

The latest version, GPT-4o, is available for free-tier users and offers a strong balance of speed, reasoning, and text generation capabilities. For users seeking enhanced performance, ChatGPT Plus provides priority access and faster response times at a monthly subscription cost.

For professionals and businesses requiring more robust capabilities, ChatGPT Pro unlocks advanced reasoning features through the o1 pro mode, which includes enhanced voice functionality and improved performance on complex queries.

Developers looking to integrate ChatGPT into applications can access its API, a type of software interface. Pricing starts at approximately $0.15 per million input tokens and $0.60 per million output tokens for GPT-4o mini, while the more powerful o1 models come at a higher cost. A token is defined as a fundamental unit of data, like a word or subword, that an AI model processes to understand and generate text.

One of ChatGPT’s greatest strengths is its versatility and conversational memory. It can handle a broad range of tasks, from casual conversation and creative writing to technical problem-solving, coding assistance, and business automation. When memory is enabled, ChatGPT can retain context across interactions, allowing for a more personalized user experience.

Another key advantage is its proven user base—with hundreds of millions of users worldwide, ChatGPT has undergone continuous refinement based on real-world feedback, improving its accuracy and usability. Additionally, GPT-4o’s multimodal capabilities allow it to process text, images, audio, and video, making it a comprehensive AI tool for content creation, analysis, and customer engagement.

While a free version exists, the most powerful features require paid subscriptions, which may limit accessibility for smaller businesses, independent developers, and startups. Another drawback is an occasional lag in real-time updates; even though ChatGPT has web-browsing capabilities, it may struggle with the most recent or fast-changing information. Lastly, its proprietary model means users have limited control over modifications or customization, as they must adhere to OpenAI’s data policies and content restrictions.

Google’s Gemini

Google’s Gemini series is renowned for its multimodal capabilities and its ability to handle extensive context, making it a versatile tool for both personal and enterprise-level applications.

General consumers and productivity users benefit from Gemini’s deep integration with Google Search, Gmail, Docs, and Assistant, making it an excellent tool for research, email drafting, and task automation. Business and enterprise users find value in Gemini’s integration with Google Workspace, enhancing collaboration across Drive, Sheets, and Meet. Developers and AI researchers can leverage its capabilities through Google Cloud and Vertex AI, making it a strong choice for building AI applications and custom models. Creative professionals can take advantage of its multimodal abilities, working with text, images, and video. Meanwhile, students and educators benefit from Gemini’s ability to summarize, explain concepts, and assist with research, making it a powerful academic tool.

Google Gemini is highly accessible, especially for those already familiar with Google services. Its seamless integration across Google’s ecosystem allows for effortless adoption in both personal and business applications. Casual users will find it intuitive, with real-time search enhancements and natural interactions that require little to no learning curve. Developers and AI researchers can unlock advanced customization through API access and cloud-based features, though utilizing these tools effectively may require technical expertise.

The current versions, Gemini 1.5 Flash and Pro, cater to different needs, with Flash offering a cost-efficient, distilled option and Pro providing higher performance. Meanwhile, the Gemini 2.0 series, designed primarily for enterprise use, includes experimental models like Gemini 2.0 Flash with enhanced speed and multimodal live APIs, as well as the more powerful Gemini 2.0 Pro.

Basic access to Gemini is often free or available through Google Cloud’s Vertex AI. Still, advanced usage, especially when integrated into enterprise solutions, was introduced at $19.99–$25 per month per user, with pricing adjusted to reflect added features like a 1-million-token context window.

Gemini’s main advantage over other AIs is that it excels in processing text, images, audio, and video simultaneously, making it a standout in multimodal mastery. It also integrates seamlessly with Google Workspace, Gmail, and Android devices, making it a natural fit for users already in the Google ecosystem. Additionally, it offers competitive pricing for developers and enterprises needing robust capabilities, especially in extended context handling.

However, Gemini’s performance can be inconsistent, particularly with rare languages or specialized queries. Some advanced versions may be limited by safety testing, delaying wider access. Furthermore, its deep integration with Google’s ecosystem can be a barrier for users outside that environment, making adoption more challenging.

Anthropic’s Claude

Anthropic’s Claude is known for its emphasis on safety, natural conversational flow, and long-form contextual understanding. It is particularly well-suited for users who prioritize ethical AI usage and structured collaboration in their workflows.

Researchers and academics who need long-form contextual retention and minimal hallucinations, as well as writers and content creators who benefit from its structured approach and accuracy, will find Claude an essential and beneficial AI assistant. Business professionals and teams can leverage Claude’s “Projects” feature for task and document management, while educators and students will find its safety guardrails and clear responses ideal for learning support.

Because Claude is highly accessible for those seeking a structured, ethical AI with a strong contextual understanding, it is moderately suitable for creative users who may find its restrictive filters limiting and less ideal for those needing unrestricted, fast brainstorming tools or AI-generated content with minimal moderation.

Claude 3.5 Sonnet, on the other hand, is the flagship model, offering enhanced reasoning, speed, and contextual understanding for both individual and enterprise users. For businesses and teams, the Claude Team and Enterprise Plans start at approximately $25 per user per month (billed annually), providing advanced collaboration features. Individual users can access Claude Pro, a premium plan that costs around $20 per month, offering expanded capabilities and priority access. A limited free tier is also available, allowing general users to explore basic features and test its functionality.

Unlike most AIs, Claude excels in ethical AI safety, extended conversational memory, and structured project management, making it ideal for users who require reliable and well-moderated AI assistance. Its intuitive interface and organization tools enhance productivity for writers, researchers, educators, and business professionals.

However, there are instances when availability constraints during peak hours can disrupt workflow efficiency. Claude’s strict safety filters, while preventing harmful content, sometimes limit creative flexibility, making it less suitable for highly experimental or unrestricted brainstorming sessions. Additionally, enterprise costs may be high for large-scale teams with extensive AI usage.

DeepSeek AI

DeepSeek, a newcomer from China, has quickly gained attention for its cost efficiency and open-access philosophy. Unlike many established AI models, DeepSeek focuses on providing affordable AI access while maintaining strong reasoning capabilities, making it an appealing option for businesses and individual users alike. DeepSeek R1 is one of the most amazing and impressive breakthroughs I’ve ever seen—and as open source, a profound gift to the world,” said Marc Andreessen, former software engineer and co-founder of Netscape.

Being an excellent choice for cost-conscious businesses, independent developers, and researchers who need a powerful yet affordable AI solution, DeepSeek is particularly suitable for startups, academic institutions, and enterprises that require strong reasoning and problem-solving capabilities without high operational costs. It is highly accessible for individuals due to its free web-based model, and even developers and enterprises benefit from its low-cost API. However, organizations requiring politically neutral AI models or strict privacy assurances may find it less suitable, especially in industries where data security and regulatory compliance are paramount.

The latest model, DeepSeek-R1, is designed for advanced reasoning tasks and is accessible through both an API and a chat interface. An earlier version, DeepSeek-V3, serves as the architectural foundation for the current releases, offering an extended context window of up to 128,000 tokens while being optimized for efficiency.

DeepSeek is free for individual users through its web interface, making it one of the most accessible AI models available. However, for business applications, API usage comes at a significantly lower cost than U.S. competitors, making it an attractive option for enterprises looking to reduce expenses. Reports indicate that DeepSeek’s training costs are drastically lower, with estimates suggesting it was trained for approximately $6 million, a fraction of the cost compared to competitors, whose training expenses can run into the tens or hundreds of millions.

One of DeepSeek’s biggest strengths is its cost efficiency. It allows businesses and developers to access powerful AI without the financial burden associated with models like OpenAI’s GPT-4 or Anthropic’s Claude. Its open-source approach further enhances its appeal, as it provides model weights and technical documentation under open licenses, encouraging transparency and community-driven improvements.

Additionally, its strong reasoning capabilities have been benchmarked against leading AI models, with DeepSeek-R1 rivaling OpenAI’s top-tier models in specific problem-solving tasks. As Anthropic co-founder Jack Clark wrote in his “Import AI” newsletter, “R1 is significant because it broadly matches OpenAI’s o1 model on a range of reasoning tasks and challenges the notion that Western AI companies hold a significant lead over Chinese ones.”

A notable problem with DeepSeek is that its response latency, especially during periods of high demand, makes it less ideal for real-time applications where speed is crucial. Censorship and bias are also potential concerns. DeepSeek aligns with local content regulations, meaning it may sanitize or avoid politically sensitive topics, which could limit its appeal in global markets. Additionally, some users have raised privacy concerns due to its Chinese ownership, questioning whether its data policies are as stringent as those of Western AI companies that comply with strict international privacy standards.

Microsoft’s Copilot

Microsoft’s Copilot is a productivity-focused AI assistant designed to enhance workplace efficiency through seamless integration with the Microsoft 365 suite. By embedding AI-powered automation directly into tools like Word, Excel, PowerPoint, Outlook, and Teams, Copilot serves as an intelligent assistant that streamlines workflows, automates repetitive tasks, and enhances document generation.

Ideal for businesses, enterprise teams, and professionals who heavily rely on Microsoft 365 applications for their daily operations, Microsoft’s Copilot is particularly beneficial for corporate professionals, financial analysts, project managers, and administrative staff who need AI-powered assistance to enhance productivity and reduce time spent on routine tasks. However, organizations that prefer open-source AI models or require flexible, cross-platform compatibility may find Copilot less suitable, especially if they rely on non-Microsoft software ecosystems for their workflows.

Microsoft 365 Copilot is available across Microsoft’s core productivity applications, providing AI-powered assistance for document creation, email drafting, data analysis, and meeting summarization. The service costs approximately $30 per user per month and typically requires an annual subscription. However, pricing can vary based on region and enterprise agreements, with some organizations receiving customized pricing based on their licensing structure.

One of Copilot’s most significant advantages is its deep ecosystem integration within Microsoft 365. For businesses and professionals already using Microsoft Office, Copilot enhances workflows by embedding AI-driven suggestions and automation directly within familiar applications. Its task automation capabilities are another significant benefit, helping users generate reports, summarize meetings, draft emails, and analyze data more efficiently. Furthermore, Copilot receives continuous updates backed by Microsoft’s substantial investments in AI and cloud computing, ensuring regular improvements in performance, accuracy, and feature expansion.

In contrast, one of the significant drawbacks of Microsoft’s Copilot is its ecosystem lock-in—Copilot is tightly coupled with Microsoft 365, meaning its full potential is only realized by organizations already invested in Microsoft’s software ecosystem. Limited flexibility is another concern, as it lacks extensive third-party integrations found in more open AI platforms, making customization difficult for businesses that rely on a broader range of tools. Additionally, some users report occasional response inconsistencies, where Copilot may lose context in long sessions or provide overly generic responses, requiring manual refinement.

Meta AI

Meta’s suite of AI tools, built on its open-weight LLaMA models, is a versatile and research-friendly AI suite designed for both general use and specialized applications. Meta’s approach prioritizes open-source development, accessibility, and integration with its social media platforms, making it a unique player in the AI landscape. It is ideal for developers, researchers, and AI enthusiasts who want free, open-source models that they can customize and fine-tune. It is also well-suited for businesses and brands leveraging Meta’s social platforms, as its AI can enhance customer interactions and content creation within apps like Instagram and WhatsApp.

Meta AI is highly accessible for developers and researchers due to its open-source availability and flexibility. However, businesses and casual users may find it less intuitive compared to AI models with more refined user-facing tools. Additionally, companies needing strong content moderation and regulatory compliance may prefer more tightly controlled AI systems from competitors like Microsoft or Anthropic.

Meta AI operates on a range of LLaMA models, including LLaMA 2 and LLaMA 3, which serve as the foundation for various applications. Specialized versions, such as Code Llama, are tailored for coding tasks, offering developers AI-powered assistance in programming.

One of Meta AI’s standout features is its open-source licensing, which makes many of its tools free for research and commercial use. However, enterprise users may encounter service-level agreements (SLAs) or indirect costs, especially when integrating Meta’s AI with proprietary systems or platform partnerships.

Meta AI’s biggest advantage is its open-source and customizable nature, allowing developers to fine-tune models for specific use cases. This fosters greater innovation, flexibility, and transparency compared to closed AI systems. Additionally, Meta AI is embedded within popular social media platforms like Facebook, Instagram, and WhatsApp, giving it massive consumer reach and real-time interactive capabilities. Meta also provides specialized AI models, such as Code Llama, for programming and catering to niche technical applications.

Despite its powerful underlying technology, Meta AI’s user interfaces and responsiveness can sometimes feel less polished than those of competitors like OpenAI and Microsoft. Additionally, Meta has faced controversies regarding content moderation and bias, raising concerns about AI-generated misinformation and regulatory scrutiny. Another challenge is ecosystem fragmentation; with multiple AI models and branding under Meta, navigating the differences between Meta AI, LLaMA, and other offerings can be confusing for both developers and general users.

AI’s Impact on the Future of Technology

As AI adoption grows, the energy demand for training and operating these models increases. Companies are developing more efficient AI models while managing infrastructure costs. Modern AI models, particularly those known as large language models (LLMs), are powerhouses that demand vast computational resources. Training these models involves running billions of calculations across highly specialized hardware over days, weeks, or even months.

The process is analogous to running an industrial factory non-stop—a feat that requires a tremendous amount of energy. The rise of AI assistants, automation, and multimodal capabilities will further shape industries, from customer support to content creation. “The worst thing you can do is have machines wasting power by being always on,” said James Coomer, senior vice president for products at DDN, a California-based software development firm, during the 2023 AI conference ai-PULSE.

AI competition will likely drive further advancements, leading to smarter, more accessible, and environmentally conscious AI solutions. However, challenges related to cost, data privacy, and ethical considerations will continue to shape the development of AI.

Sustainable AI and the Future

AI companies are actively addressing concerns about energy consumptionand sustainability by optimizing their models to enhance efficiency while minimizing power usage. One key approach is leveraging renewable energy sources, such as solar and wind power, to supply data centers, which significantly reduces their carbon footprint. Additionally, advancements in hardware are being developed to support more energy-efficient AI computation, enabling systems to perform complex tasks with lower energy demands. These innovations not only help reduce environmental impact but also contribute to long-term cost savings for AI companies.

Beyond technological improvements, regulatory policies are being introduced to ensure AI growth aligns with environmental sustainability. Governments and industry leaders need to work together to establish guidelines that encourage responsible energy consumption while promoting research into eco-friendly AI solutions. However, the fear of governmental regulation often makes technology leaders hesitant to collaborate.

One voice at the forefront of global AI governance is Amandeep Singh Gill, the United Nations Secretary-General’s envoy on technology, who emphasizes the importance of collaborative governance in AI development—and sustainable development needs to be part of this cooperation and coordination.

“[W]e have to find ways to engage with those who are in the know,” he said in a September 2024 interview in Time. “Often, there’s a gap between technology developers and regulators, particularly when the private sector is in the lead. When it comes to diplomats and civil servants and leaders and ministers, there’s a further gap. How can you involve different stakeholders, the private sector in particular, in a way that influences action? You need to have a shared understanding.”

No matter the level of collaboration between the private and public sectors, companies need to aggressively explore emission-mitigation methods like carbon offset programs and energy-efficient algorithms to further mitigate their environmental impact. By integrating these strategies, the AI industry is making strides toward a more sustainable future without compromising innovation and progress.

Balancing Innovation and Responsibility

AI is advancing rapidly, with OpenAI, Google, Anthropic, DeepSeek, CoPilot, and MetaAI leading the way. While these models offer groundbreaking capabilities, they also come with costs, limitations, and sustainability concerns.

Businesses, researchers, and policymakers must prioritize responsible AI development while maintaining accessibility and efficiency. The Futurist: The AI (R)evolution panel discussion held by the Washington Post brought together industry leaders to explore the multifaceted impact of artificial intelligence (AI) on business, governance, and society. Martin Kon of Cohere explains that his role is securing AI for business with an emphasis on data privacy, which is essential for “critical infrastructure like banking, insurance, health care, government, energy, telco, etc.”

Because there’s no equivalent of Google Search for enterprises, AI, Kon says, is an invaluable tool in searching for needles in haystacks–but it’s complicated: “Every year, those haystacks get bigger, and every year, the needles get more valuable, but every enterprise’s haystacks are different. They’re data sources, and everyone cares about different needles.” He is, however, optimistic on the job front, maintaining that the new technology will create more jobs and greater value than many critics fear.

“Doctors, nurses, radiologists spend three and a half hours a day on admin. If you can get that done in 20 minutes, that’s three hours a day you’ve freed up of health care professionals. You’re not going to fire a third of them. They’re just going to have more time to treat patients, to train, to teach others, to sleep for the brain surgery tomorrow.”

May Habib, CEO of Writer, which builds AI models, is similarly optimistic, describing AI as “democratizing.” “All of these secret Einsteins in the company that didn’t have access to the tools to build can now build things that can be completely trajectory-changing for the business, and that’s the kind of vision that folks need to hear. And when folks hear that vision, they see a space and a part for themselves in it.”

Sy Choudhury, director of business development for AI Partnerships at Meta, sees a vital role for AI on the public sector side. “[I]t can be everything very mundane from logistics all the way to cybersecurity, all the way to your billing and making sure that you can talk to your state school when you’re applying for federal student–or student loans, that kind of thing.”

Rep. Jay Obernolte (R-CA), who led the House AI Task Force in 2024, acknowledges the need for “an institute to set standards for AI and to create testing and evaluation methodologies for AI” but emphasizes that “those standards should be non-compulsory…” And while agreeing that AI is “a very powerful tool,” he says that it’s still “just a tool,” adding that “if you concentrate on outcomes, you don’t have to worry as much about the tools…”

But some of those outcomes, he admits, can be adverse. “[O]ne example that I use a lot is the potential malicious use of AI for cyber fraud and cyber theft,” he says. “[I]n the pantheon of malicious uses of AI, that’s one of the ones that we at the task force worried the most about because we say bad actors are going to bad, and they’re going to bad more productively with AI than without AI because it’s such a powerful tool for enhancing productivity.”

Consumers can also do their part by managing AI usage wisely—turning off unused applications, optimizing workflows, and advocating for sustainable AI practices. AI’s future depends on balancing innovation with responsibility. The challenge is not just about creating smarter AI but also ensuring that its growth benefits society while minimizing its environmental impact.

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