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I tested ChatGPT prompts for resume writing — here are my best 100 

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A resume can make or break your chances of landing your dream job. For many, writing one feels like an uphill battle. It’s tough to get all the right elements in place to ensure your resume stands out and resonates with the hiring managers, especially when trying to tailor it for a job that could be your next big opportunity.

You might think about hiring a professional resume writer to get it right. But then comes the catch: how will you afford their often expensive services when actively looking for a job? 

What if there was a way to write your resume from scratch or fine-tune an outdated one without breaking the bank? What if you could craft a standout resume that catches the eye of recruiters without needing to hire an expensive pro? 

Well, there is a solution: ChatGPT.

Specifically, ChatGPT (yes, the one you’re already familiar with) is the perfect companion for tasks like this. But here’s the thing: ChatGPT is as effective as the prompts. Without the right prompts, you might find its outputs shallow, unhelpful, or even downright inaccurate.

To help you get the best resume possible, I tested ChatGPT for resume writing, running hundreds of prompts across various industries and job roles. The result is this article, a curated list of the 100 best ChatGPT prompts to optimize your resume for ATS (Applicant Tracking System) software, hiring managers, and recruiters.

TL;DR: Key takeaways from this article

  • ChatGPT can enhance your resume by refining content, making it ATS-friendly, and tailoring it for specific job roles.
  • The right prompts matter; generic AI responses won’t cut it. Structured, job-specific prompts lead to better results.
  • Human oversight is still essential to ensure that AI-generated content maintains a natural tone and accuracy.
  • These 100 prompts are organized into key resume sections like professional summary, work experience, skills, and industry-specific skills.
  • Follow best practices to maximize your AI-assisted resume without sacrificing your unique voice.

Can ChatGPT really help with resume writing?

There has been a lot of rave about how AI is changing the job application process, with ChatGPT leading the charge. But can an AI-generated resume actually land you a job? 

To find out, I put ChatGPT to the test, running extensive comparisons between AI-generated resumes and traditional, manually crafted ones. The results were eye-opening: ChatGPT excels at refining resumes by improving phrasing, trimming unnecessary fluff, and enhancing ATS compatibility.

However, there’s a catch: AI can often produce responses that sound overly generic or robotic unless you guide it with highly specific prompts. Given the right direction, ChatGPT can help you craft a standout resume. 

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Let me walk you through how to effectively prompt ChatGPT to write a resume that truly reflects your unique strengths and helps you rise above the competition.

How to prompt ChatGPT like a pro

To get the best results from ChatGPT, it’s crucial to know exactly what you want to achieve with each prompt. Start by thinking about the specific goals for each section of your resume and tailor your instructions accordingly.

For instance, if you’re looking to highlight your leadership skills in a technical resume, don’t just ask ChatGPT to summarize your job role. Instead, prompt it with something like, “Describe how I led cross-functional teams and managed key performance metrics,” to target those specific aspects.

Here are some expert tips to help you craft powerful prompts for your resume-writing journey:

1. Give it clear commands

The more precise your instructions, the better the outcome. 

Instead of a vague prompt like “List key outcomes for my project management role,” try something more specific: “List the key outcomes of my project management role, focusing on leadership, team delegation, and project success.”

2. Set the style or tone

Don’t shy away from directing the tone. Whether you need a formal or casual vibe, a simple prompt like, “Summarize my career profile in a professional tone for an executive audience,” can ensure ChatGPT matches your desired style.

3. Always provide context

To generate accurate content, make sure you offer enough background information. Inputting details such as your career history, work experience, key milestones, and achievements helps ChatGPT tailor the resume to your unique journey.

Saying, “I have 6 years of experience as a UX writer, working primarily with SaaS companies in Africa and Europe, and I’m looking to transition into technical writing,” is much more effective than simply requesting, “Write a professional summary as a UX writer.”

4. Use relevant keywords

Especially when targeting specific industries or roles, integrating key terms is essential. For example, you could prompt: “Create a resume summary for a software engineer highlighting experience in Python, cloud computing, and team leadership.”

5. Iterate

ChatGPT’s first response isn’t always perfect. Don’t hesitate to refine your prompt or ask for revisions. You can request adjustments like, “Rewrite this paragraph to sound more conversational” or “Condense this list to highlight the most impactful achievements.”

With these pro tips in your pocket, you’re ready to dive into creating a killer resume. 

Now, let’s look at some plug-and-play prompts to help you get started.

100 best ChatGPT prompts for resume writing (categorized by section)

Here are some of my best (100) ChatGPT prompts for creating polished content for each section of your resume. My only tip is that you make them your own by adding more details and customizing the voice and style to fit your personality. 

Note: Some of these prompts will require you to paste your resume (if you already have one) or the job description of the desired role. 

1. General resume writing prompts

Before we dive into section-specific prompts for your resume, here are some general prompts you can keep handy for later. These will help ensure your resume is polished, tailored, and impactful. Make sure to provide specific details where necessary, and remember: the more precise you are with your prompts, the better your results will be.

1. Prompt: “Summarize my work experiences as a [job title] where I focused on [specific task or achievement] at [company].”
Example: “Summarize my work experiences  as a data analyst where I focused on enhancing data accuracy and visualization at Data Insights LLC.”

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2. Prompt: “Rewrite my resume objective to make it more compelling and results-driven, highlighting [specific skills or achievements].”
Example: “Rewrite my resume objective to make it more compelling and results-driven, highlighting my expertise in project management and leadership at Tech Solutions.”

3. Prompt: “Optimize my resume for ATS compatibility by integrating relevant keywords related to [industry/role].”
Example: “Optimize my resume for ATS compatibility by integrating relevant keywords related to software engineering and cloud infrastructure.”

4. Prompt: “Remove passive voice from my resume and transform it into an action-oriented, achievement-focused narrative, emphasizing my role in increasing sales by 20% at XYZ Corp.”

5. Prompt: “Improve the readability of my resume while maintaining a professional tone, focusing on [specific areas].”
Example: “Improve the readability of my resume while maintaining a professional tone, focusing on simplifying my technical skills section for clarity.”

6. Prompt: “Shorten my resume summary to [word count or number of sentences] without losing key information about [specific role/experience].”
Example: “Shorten my resume summary to three to four sentences without losing key information about my leadership in driving company-wide initiatives.”

7. Prompt: “Make my job descriptions more dynamic by emphasizing the results of my contributions to [specific project/achievement].”
Example: “Make my job descriptions more dynamic by emphasizing the results of my contributions to streamlining the product development cycle, reducing costs by 15%.”

8. Prompt: “Tailor my skills section to highlight expertise in [specific skill or tool] relevant to [industry/role].”
Example: “Tailor my skills section to highlight expertise in machine learning and Python relevant to a data scientist role.”

9. Prompt: “Revise my resume’s formatting to ensure it’s visually appealing, with clear section headings and concise bullet points that highlight my achievements.”

10. Prompt: “Highlight my leadership experience in the context of [specific leadership task, project, or team management].”
Example: “Highlight my leadership experience in the context of managing a cross-functional team during a successful software launch at ABC Tech.”

2. Professional summary or objective prompts

The professional summary is your resume’s first impression, a snapshot of your career, skills, and goals. It’s your elevator pitch, giving recruiters and hiring managers a quick but comprehensive overview of your qualifications and what you bring to the table. 

Whether you’re crafting a summary from scratch or revamping an existing one, this section should reflect your most relevant strengths, achievements, and future aspirations in a concise, engaging way.

Here are 10 prompts to help you write or improve your professional summary:

11. Prompt: “Generate a strong resume summary for a [job title] with [years of experience].”
Example: “Generate a strong resume summary for a software developer with 7 years of experience in building scalable applications and improving system performance.”

12. Prompt: “Create a summary statement for a [industry] professional transitioning to [new industry].”
Example: “Create a summary statement for an academic researcher transitioning to the tech industry, highlighting transferable skills and strategic thinking.”

13. Prompt: “Go through my work experience and rewrite my summary to highlight my top three strengths.”

14. Prompt: “Make my resume summary more engaging and impactful by emphasizing my accomplishments in [specific achievement].”
Example: “Make my resume summary more engaging and impactful by emphasizing my accomplishments in streamlining operational workflows and cutting costs by 15%.”

15. Prompt: “Rewrite my career objective to make my leadership skills stand out, emphasizing my success in managing cross-functional teams and driving revenue growth.”

16. Prompt: “Craft a professional objective for a [job title] that showcases my passion for [specific aspect of the role].”
Example: “Craft a professional objective for a data analyst that showcases my passion for uncovering insights from complex datasets and driving data-driven decision-making.”

17. Prompt: “Generate a summary that highlights my experience working with [specific tools or technologies].”
Example: “Generate a summary that highlights my experience working with Salesforce, Google Analytics, and SEMrush, optimizing digital campaigns and improving ROI.”

18. Prompt: “Revise my resume objective to align with the qualifications for [specific job role].”
Example: “Revise my resume objective to align with the qualifications for a project manager, focusing on my expertise in budget management and timeline optimization.”

19. Prompt: “Write a professional summary that reflects my unique value proposition as [job title].”
Example: “Write a professional summary that reflects my unique value proposition as a results-driven marketing strategist with a proven track record of increasing customer acquisition by 30%.”

20. Prompt: “Craft a summary that emphasizes my ability to [specific achievement or skill relevant to the job].”
Example: “Craft a summary that emphasizes my ability to lead successful product launches, working closely with development teams to deliver on time and within budget.”

3. Work experience and job description prompts

Your work experience section tells the story of your career. It’s where you showcase your skills, responsibilities, and the tangible impact you’ve made in previous roles. A well-written job description can help recruiters quickly see how you’ve added value, made significant achievements, and how your expertise aligns with the role you’re applying for. 

Here are 10 prompts to enhance your work experience and job descriptions:

21. Prompt: “Rewrite my job description for [job title] at [company] to highlight [impact/achievements].”
Example: “Rewrite my job description for a product manager at Moniepoint to highlight my impact in increasing user engagement by 20% YoY and improving product launch timelines.”

22. Prompt: “Summarize my responsibilities as a [job role] at [company] in a results-driven manner.”
Example: “Summarize my responsibilities as a sales manager at First Bank Nigeria in a results-driven manner, emphasizing my role in boosting revenue and expanding the client base.”

23. Prompt: “Help me quantify my achievements in my previous roles.”
Example: “Help me quantify my achievements as an operations manager, focusing on reducing operational costs and improving process efficiency.”

24. Prompt: “Make my job descriptions more concise while keeping key details.”
Example: “Make my job descriptions for a content strategist at Axxexx more concise while keeping key details about campaign success and audience growth.”

25. Prompt: “Reword my work experience to sound more dynamic and results-oriented.”
Example: “Reword my work experience as a software engineer at Unilever to emphasize my success in reducing system downtime and increasing system scalability.”

26. Prompt: “Revise my job description to highlight my leadership in [specific project or initiative].”
Example: “Revise my job description to highlight my leadership in a cross-departmental project that led to at least a 10% increase in operational efficiency.”

27. Prompt: “Create a job description that showcases my expertise in [specific skill or area].”
Example: “Create a job description that showcases my expertise in data analysis, focusing on how I used data visualization to influence executive decisions.”

28. Prompt: “Generate a job description for my role at [company] that emphasizes my teamwork and collaboration skills.”
Example: “Generate a job description for my role as a marketing coordinator at Orion Consulting that emphasizes my teamwork in executing integrated campaigns across multiple channels.”

29. Prompt: “Rewrite my job descriptions to make them more action-oriented and direct.”
Example: “Rewrite my job descriptions as a customer service manager to make them more action-oriented, focusing on resolving customer issues and improving satisfaction scores.”

30. Prompt: “Update my work experience to focus on the impact I had on [specific business goal or objective].”
Example: “Update my work experience to focus on the impact I had leading a team of 10leading a team of 10 to improving client retention by 15%.”

4. Skill highlighting prompts

Your skills section is one of the most critical parts of your resume. It’s where you showcase what you’re capable of, from hard skills (technical abilities) to soft skills (interpersonal strengths). 

This section needs to highlight the skills that set you apart from other candidates and directly relate to the job you’re applying for. Whether you’re emphasizing your expertise in a specific field or trying to present a balanced skill set, these prompts will help you craft a compelling, targeted skills section that makes a lasting impression.

Here are 10 prompts to help highlight your skills effectively:

31. Prompt: “Generate a list of relevant hard and soft skills for a [job title].”
Example: “Generate a list of relevant hard and soft skills for a product manager, including stakeholder management, market analysis, and Agile methodologies.”

32. Prompt: “Rewrite my skills section to better showcase my expertise in [industry].”
Example: “Rewrite my skills section to better showcase my expertise in digital marketing, focusing on SEO, social media strategy, and data analytics.”

33. Prompt: “Help me emphasize my technical skills as a [job title] in an easy-to-read format.”
Example: “Help me emphasize my technical skills as a software engineer in an easy-to-read format, focusing on Java, Python, and cloud infrastructure management.”

34. Prompt: “Suggest power words to strengthen my skills section.”
Example: “Suggest power words to strengthen my skills section, particularly for a project manager.”

35. Prompt: “Make my skills section ATS-optimized for [job title].”
Example: “Make my skills section ATS-optimized by including relevant keywords for a data scientist role.”

36. Prompt: Highlight my leadership and communication skills in my skills section, emphasizing my ability to manage teams and present complex ideas to non-technical audiences.”

37. Prompt: “Create a comprehensive list of skills for a sales manager that includes negotiation, CRM software proficiency, and team leadership.”

38. Prompt: “Update my skills section to reflect my proficiency with [specific software or tool].”
Example: “Update my skills section to reflect my proficiency with Salesforce, Adobe Creative Suite, and Google Analytics.”

39. Prompt: “Rework my skills section to focus on the most in-demand skills for [industry].”
Example: “Rework my skills section to focus on the most in-demand skills for a cybersecurity role, including penetration testing, network security, and vulnerability assessment.”

40. Prompt: “Refine my skills section to emphasize my expertise in [specific area or technology].”
Example: “Refine my skills section to emphasize my expertise in cloud computing, focusing on AWS, Azure, and Kubernetes.”

5. Achievements and accomplishments prompts

Your achievements section is where you prove your impact. Instead of just listing job duties, this section should highlight specific, measurable accomplishments that showcase your value to past employers. Strong, quantified achievements make your resume stand out by demonstrating how you’ve contributed to business growth, efficiency, or innovation.

Here are 10 prompts to help craft a compelling achievements section:

41. Prompt: “Rephrase this bullet point to show quantifiable impact.” [copy and paste achievements]. 

42. Prompt: “Give me 5 ways to highlight my biggest career achievement as a [job title] in a resume.”
Example: “Give me 5 ways to highlight my biggest career achievement as a Content Marketer at Techpoint Africa in a resume. Note, I have increased the company’s internet traffic by 40% in under two years.”

43. Prompt: “Help me craft an achievement-focused resume bullet point for [job title] who [achievements].”
Example: “Help me craft an achievement-focused resume bullet point for a project manager who successfully delivered a $1M project on time and under budget.”

44. Prompt: “Write a compelling achievement statement for my [job title], focusing on [name achievement].”
Example: “Write a compelling achievement statement for my role as a marketing specialist, focusing on my success in launching a campaign that increased engagement by 70%.”

45. Prompt: “Turn my daily job tasks as a customer service representative into measurable achievements, focusing on response time improvement, client satisfaction, and issue resolution.”

46. Prompt: “Quantify my impact as a [job title] in terms of employee retention, onboarding efficiency, or cost savings.”
Example: “Quantify my impact as an HR manager in terms of employee retention, onboarding efficiency, or cost savings.”

47. Prompt: “Write 3 bullet points that showcase my leadership achievements as a [job title] in my last role.”
Example: “Write 3 bullet points that showcase my leadership achievements as a sales team lead, focusing on sales growth, team performance, and strategic partnerships.”

48. Prompt: “Rework my job description as a [job title] to emphasize major achievements over responsibilities.”
Example: “Rework my job description as a software developer to emphasize major achievements over responsibilities, highlighting successful product launches and system optimizations.”

49. Prompt: “Improve my resume by turning passive descriptions into action-driven, achievement-focused statements.”

50. Prompt: “Generate achievement-oriented bullet points for a [job title]’s resume, focusing on [key successes].”
Example: “Generate achievement-oriented bullet points for a sales manager’s resume, focusing on specific accomplishments such as exceeding sales targets, leading successful client negotiations, and implementing strategies that resulted in revenue growth.”

6. Volunteer experience prompts

Volunteer experience can add depth to your resume, showcasing leadership, initiative, and a commitment to causes beyond your professional work. It’s especially useful if you’re changing careers, have employment gaps, or want to highlight transferable skills.

Here are 5 prompts to help craft a strong volunteer experience section:

51. Prompt: “Write a compelling volunteer experience section for my resume, highlighting my impact at [organization].”
Example: “Write a compelling volunteer experience section for my resume, highlighting my impact at Habitat for Humanity, focusing on project coordination and team leadership.”

52. Prompt: “Reframe my volunteer experience to highlight transferable skills relevant to [target job or industry].”
Example: “Reframe my volunteer experience at a local food bank to highlight transferable skills relevant to a customer service role.”

53. Prompt: “Make my volunteer work at [company] sound more results-driven and impactful.”
Example: “Make my volunteer work at JoJoVi Animal Shelter sound more results-driven by emphasizing the number of animals cared for and improvements in adoption rates.”

54. Prompt: “Summarize my leadership and project management experience gained through volunteering at [place].”
Example: “Summarize my leadership and project management experience gained through organizing fundraising events for Cancer Retreat Crib, a non-profit organization.”

55. Prompt: “Generate a strong bullet point highlighting my key contributions in a [volunteer role].”
Example: “Generate a strong bullet point highlighting my key contributions as a mentor in a youth development program, focusing on skill-building and personal growth outcomes.”

7. Complete resume prompts

Whether you’re starting from scratch or revamping your existing resume, these prompts will help you generate a complete, professional, polished, and ATS-friendly document.

Here are five prompts to guide you:

56. Prompt: “I need you to write a resume for me. I’m applying for [position] at [company]. Here are my professional experiences and achievements: [insert experience/achievements]; my educational background: [insert background]; a list of my hard and soft skills: [insert skills list] feel free to add or replace. Please use a [formal/informal/creative/engaging] tone and structure the resume like this: [Insert desired structure, e.g., ‘Part 1 — skills summary/Part 2 — work experience/etc.’]. Please proceed.”
Example: “I need you to write a resume for me. I’m applying for a Data Analyst position at Google. Here are my professional experiences and achievements: Led data visualization projects, improved data accuracy by 30%, and automated reporting processes. This is my educational background: BSc in Computer Science. Here is a list of my hard and soft skills: Python, SQL, data storytelling, and problem-solving (feel free to add or replace). Please use a formal tone and structure the resume as follows: 1. Summary, 2. Skills, 3. Work Experience, 4. Education.”

57. Prompt: “Revamp my existing resume to make it more engaging and results-driven. Focus on quantifying my impact, improving readability, and optimizing for ATS. I want stronger action verbs and clearer bullet points that showcase my leadership and problem-solving skills.”

58. Prompt: “Rewrite my resume to match the job description for [position]. Ensure it highlights my most relevant skills and experience while incorporating important keywords.”
Example: “Rewrite my resume to match the job description for a Product Manager role at Amazon. Ensure it highlights my experience in Agile project management, cross-functional team leadership, and product strategy while incorporating important keywords..”

59. Prompt: “Create a tailored resume for a career change from [current industry] to [target industry]. Highlight my transferable skills in [role or activities] and [relevant experience].”
Example: “Create a tailored resume for a career change from marketing to UX design. Highlight my transferable skills in user research, A/B testing, and data-driven decision-making.”

60. Prompt: “Improve my resume by making it more compelling and concise. Remove unnecessary details while strengthening my key achievements, such as increasing sales by 40%, leading a team of 10, and launching a successful digital campaign.

8. Industry-switching prompts

Transitioning to a new industry can be challenging, but a well-crafted resume can highlight your transferable skills and make the shift smoother. These prompts will help tailor your resume for a successful career change.

61. Prompt: “Rewrite my resume to showcase my transferable skills for a career switch from [current industry] to [target industry]. Ensure it highlights relevant experience, even if my job titles differ.”
Example: “Rewrite my resume to showcase my transferable skills for a career switch from finance to tech project management. Ensure it highlights my experience in data analysis, budgeting, and risk assessment, even though my past job titles were finance-related.”

62. Prompt: “Create a compelling summary that explains my transition from [current field] to [new field] while emphasizing my strengths and relevant experience.”
Example: “Create a compelling summary that explains my transition from teaching to instructional design while emphasizing my curriculum development skills, technology integration, and e-learning expertise.”

63. Prompt: “Help me frame my previous job experience in [current industry] so that it aligns with my new career in [target industry]. Focus on shared skills like [skills].”
Example: “Help me frame my previous job experience in retail management so that it aligns with my new career in human resources. Focus on shared skills like team leadership, conflict resolution, and performance evaluation.”

64. Prompt: “Write an achievement-driven work experience section that translates my expertise in [current industry] into qualifications for [new industry].”
Example: “Write an achievement-driven work experience section that translates my expertise in sales into qualifications for a marketing role, highlighting my ability to analyze customer trends, develop brand strategies, and drive revenue growth.”

65. Prompt: “Optimize my resume to appeal to hiring managers in [new industry], even though my background is in [current industry]. Make my experience feel relevant and valuable.”
Example: “Optimize my resume to appeal to hiring managers in cybersecurity, even though my background is in IT support. Make my experience feel relevant by focusing on my knowledge of network security, troubleshooting, and compliance.”

9. Prompts for critiquing an existing resume 

Before submitting your resume, it’s essential to get feedback to ensure it’s polished, compelling, and aligned with your target role. Use these prompts to refine and improve your resume.

66. Prompt: “I’m applying for [role/company]. Review the resume below and give me feedback on its effectiveness, including ways to make it more compelling.”
Example: “I’m applying for a senior marketing manager role at Google. Review the resume below and give me feedback on its effectiveness, including ways to make it more compelling.”

67. Prompt: “Assess my resume’s readability, clarity, and overall impact. Highlight any areas that need improvement, such as vague bullet points or redundant information.”

68. Prompt: “Review my resume for weaknesses, such as passive language, lack of quantifiable achievements, or poor structure. Suggest ways to fix them with stronger action verbs and data-driven results.”

69. Prompt: “Check if my resume aligns with best practices for [industry/role]. Suggest changes to make it more industry-specific.”
Example: “Check if my resume aligns with best practices for software engineering roles. Suggest changes to make it more industry-specific, including adding relevant keywords and technical skills.”

70. Prompt: “Analyze my resume for ATS compatibility. Identify any formatting or keyword issues that might affect my chances of passing the screening process, such as missing job-specific terms or improper bullet formatting.”

10. Prompts to turn your resume into a cover letter

Your resume provides the facts, but your cover letter tells the story. Use these prompts to transform your resume into a compelling cover letter tailored to your target job.

71. Prompt: “Go through my resume and write me a personalized cover letter for a [job title] position at [company]. Highlight my [top skills and achievements].”
Example: “Go through my resume and write me a personalized cover letter for a product manager position at ZiZi Fashion Stores. Highlight my expertise in leading cross-functional teams and launching successful products.”

72. Prompt: “Write a cover letter based on my resume that explains why I’m the perfect fit for [role] at [company]. Keep it engaging and concise.”
Example: “Write a cover letter based on my resume that explains why I’m the perfect fit for a data analyst role at InsiDY Concept. Keep it engaging and concise while emphasizing my experience in business intelligence and data visualization.”

73. Prompt: “Create a compelling opening paragraph for my cover letter based on my resume. Make it attention-grabbing and relevant to [industry/job].”
Example: “Create a compelling opening paragraph for my cover letter based on my resume. Make it attention-grabbing and relevant to the cybersecurity industry.”

74. Prompt: “Adapt my resume into a cover letter that highlights my career transition from [current industry] to [new industry]. Emphasize transferable skills.”
Example: “Adapt my resume into a cover letter that highlights my career transition from finance to UX design. Emphasize transferable skills such as data analysis, problem-solving, and customer insights.”

75. Prompt: “Write a strong closing paragraph for my cover letter based on my resume, reinforcing why I’m an excellent candidate for the software engineering role and expressing enthusiasm for joining Google’s development team.”

11. Prompts to turn job description into a resume

A job description is a roadmap to what employers want. Use these prompts to transform it into a strong, tailored resume.

76. Prompt: “Extract key responsibilities and achievements from this job description and format them into a professional resume for [job title].”
Example: “Extract key responsibilities and achievements from this job description and format them into a professional resume for a project manager role.”

77. Prompt: “Rewrite this job description as a powerful work experience section for my resume. Focus on action verbs and quantifiable results to highlight my impact as a digital marketing specialist.”

78. Prompt: “Identify the most important skills from this job description and incorporate them into my resume’s skills and experience sections.”

79. Prompt: “Craft a resume summary using key qualifications from this job description. Make it compelling and tailored for [job title] at [company].”
Example: “Craft a resume summary using key qualifications from this job description. Make it compelling and tailored for a senior financial analyst position at Goldman Sachs.”

80. Prompt: “Rephrase this job description into bullet points that showcase relevant achievements and contributions in a resume format for [job title].”
Example: “Rephrase this job description into bullet points that showcase relevant achievements and contributions in a resume format for a sales executive role.”

12. Region-specific resume writing prompts

Tailoring your resume to different regions can increase your chances of success. Use these prompts to make your resume region-appropriate.

81. Prompt: “Adjust my resume to follow [region/country]’s resume formatting standards, including length, structure, and key details.”
Example: “Adjust my resume to follow the UK’s resume formatting standards, ensuring it includes the right structure and terminology.”

82. Prompt: “Rewrite my resume using [region/country] spelling, terminology, and date formats.”
Example: “Rewrite my resume using American English spelling, terminology, and date formats.”

83. Prompt: “Optimize my resume for job applications in [region/country] by incorporating common industry expectations and best practices.”
Example: “Optimize my resume for job applications in Canada by incorporating common industry expectations and best practices.”

84. Prompt: “Make my resume ATS-friendly for job applications in [region/country] by including the right keywords and structuring it accordingly.”
Example: “Make my resume ATS-friendly for job applications in Australia by including the right keywords and structuring it accordingly.”

85. Prompt: “Modify my resume to align with cultural and professional norms in [region/country], ensuring it meets local employer expectations.”
Example: “Modify my resume to align with cultural and professional norms in Germany, ensuring it meets local employer expectations.”

13. Prompts for spotting grammatical errors in a resume

Your resume should be polished and free of errors. Use these prompts to refine it.

86. Prompt: “Review my resume for grammatical, spelling, and punctuation errors. Suggest corrections where needed.”

87. Prompt: “Check my resume for passive voice and rephrase sentences to make them more direct and impactful.”

88. Prompt: “Ensure my resume maintains consistent verb tense throughout. Highlight and fix any inconsistencies, especially in my job descriptions and summary.”

89. Prompt: “Proofread my resume for readability, grammar, and clarity. Suggest ways to improve flow and professionalism while keeping it concise.”

90. Prompt: “Identify any redundant or awkward phrasing in my resume and suggest clearer, more polished alternatives to make my achievements stand out.”

14. My top 10 favorite ChatGPT prompts for resume writing

These are my absolute go-to ChatGPT prompts when crafting a winning resume. Whether you need to tailor your resume for a specific role, optimize it for AI screening, or highlight your most valuable skills, these prompts will help you create a professional and compelling document.

91. Custom resume based on a job description

Prompt: “Craft a resume tailored for a [job title] role using the job description below. Focus on aligning my experience, skills, and achievements with the listed requirements.”
Example: “Craft a resume for a marketing manager position at HubSpot based on the job description below. Focus on aligning my experience, skills, and achievements with the listed requirements.”

92. Making a resume AI-resistant

Prompt: “Refine my resume to sound natural and engaging while ensuring it remains ATS-friendly. Remove any overly generic or robotic language and replace it with impactful storytelling.”

93. Full resume with a defined structure

Prompt: “Generate a complete resume for a [job title] at [company]. Structure it as follows: Professional Summary, Work Experience (with 3–5 achievement-driven bullet points per role), Key Skills, and Certifications. Use relevant keywords from the job description.”
Example: Generate a complete resume for a data scientist role at Google. Structure it as follows: Professional Summary, Work Experience (with 3–5 achievement-driven bullet points per role), Key Skills, and Certifications. Use relevant keywords from the job description.”

94. Tailoring an existing resume for a specific role

Prompt: “Revise my resume to align with this job description for a [job title] role at [company]. Ensure my skills, experience, and achievements reflect the job requirements.”
Example:  “Revise my resume to align with this job description for a UX designer role at Airbnb. Ensure my skills, experience, and achievements reflect the job requirements.”

95. Extracting key skills from a job description

Prompt: “From the job description below, identify 10 must-have skills that should be prominently featured in my resume.”

96. Pivoting to a new industry

Prompt: “Analyse my current resume as a [job title] and suggest ways to highlight transferable skills for a transition into [new industry or role]. Identify key areas I should emphasize.”
Example:  “Analyse my current resume as a sales manager and suggest ways to highlight transferable skills for a transition into product management. Identify key areas I should emphasize.”

97. Professional resume rewrite with metrics

Prompt: “Act as a professional resume writer. Review my resume and rewrite it to be more impactful. Incorporate quantifiable achievements, use strong action verbs, and align them with best industry practices.”

98. Describing a role with key contributions

Prompt: “Summarise my role at [company] as a [job title], focusing on my contributions to [specific areas]. [Highlight measurable achievements].”
Example: “Summarise my role at Tesla as a supply chain analyst, focusing on my contributions to process optimization and cost reduction. I helped reduce procurement costs by 15% through vendor negotiations.”

99. Creating a resume objective for a specific role

Prompt: “Write a compelling resume objective for a [level of experience] [job title] aiming to work in [industry]. Ensure it highlights [key skills/career aspirations].”
Example: “Write a resume objective for a mid-level cybersecurity analyst aiming to work in the healthcare industry. Ensure it highlights my focus on risk mitigation and compliance.”

100. Summarising certifications and their relevance

Prompt: “Summarise my certifications as a [job title], focusing on how my [skill/certification] enhances my ability to [achievements].”
Example: “Summarise my certifications as a project manager, focusing on how my PMP and Agile certifications enhance my ability to manage large-scale tech projects.”

How I curated the list of the 100 best ChatGPT prompts for resume writing

Curating the top 100 ChatGPT prompts for resume writing wasn’t a simple task; it involved a detailed and systematic testing process to ensure they delivered real, tangible results. 

Here’s how I went about it:

1. Diverse job roles and industries

I explored a wide variety of job roles and industries to see how ChatGPT adapts to different fields. This way, I could ensure that the prompts would work across a broad spectrum of careers.

2. AI vs. manually written resumes

I compared AI-generated resumes with manually written ones to assess their effectiveness in highlighting key achievements and skills. The goal was to see how well ChatGPT could stand up to traditional resume writing.

3. ATS compatibility testing

I ran the AI-generated resumes through applicant tracking software (ATS) to test their effectiveness. After all, a resume might look perfect, but if it doesn’t pass through ATS, it won’t make it to a hiring manager’s desk.

4. Professionalism and clarity check

Finally, I made sure that the AI-generated text was professional, polished, and job-ready. It had to meet the high standards expected by recruiters and hiring managers.

The outcome? 

ChatGPT can indeed be a game-changer for resume writing, but only if it’s given the right prompts. 

Why should you use ChatGPT for resume writing?

Generative AI like CgatGPT is like having a personal writing assistant with you all the time, one that helps you craft each section of your resume with precision and clarity. The tool isn’t just a content generator; it’s a game-changer in how you approach resume writing, helping you refine your wording, structure, and overall impact.

With AI-powered prompts, ChatGPT can:

  • Break through writer’s block by providing starter phrases and formatting ideas.
  • Tailor your resume to highlight your most relevant skills and experience for each job.
  • Experiment with different formats to see what best suits the role you’re applying for.

Benefits of good AI prompting for resume writing

Leveraging AI-driven prompts can take much of the hassle out of resume writing. 

Here’s how:

1. Personalization without the hassle

Customizing your resume for every job application can be time-consuming. ChatGPT makes it easier by generating job-specific phrasing that aligns with the employer’s requirements.

For example, if a job prioritizes leadership, you can ask ChatGPT to emphasize your experience in managing teams, ensuring your resume directly reflects the skills recruiters are looking for.

2. Faster resume writing

Crafting a resume from scratch can take hours, but ChatGPT can draft a strong foundation in minutes. Simply provide your job title, a summary of your skills, and your experience, and let AI handle the heavy lifting.

Pro tip: While ChatGPT provides a great starting point, always personalize your resume to fit each job application. A tailored approach increases your chances of landing interviews!

3. Enhanced clarity and impact

If you’re struggling to describe your job roles effectively, ChatGPT will refine your wording, making your accomplishments clear and results-driven.

It can turn a plain sentence like this: “Managed a team of five engineers to develop software,” into a profound one like “Led a team of five engineers to develop and launch a new software solution, improving efficiency by 20%.”

ChatGPT’s resume writing limitations

While ChatGPT is a powerful tool, it’s not perfect. Here are some challenges to watch out for:

1. Generic language

Without clear instructions, ChatGPT may generate cookie-cutter responses. Adding details about your unique skills and accomplishments helps AI craft a resume that truly stands out.

2. Limited industry-specific insights

ChatGPT may not always grasp specialized industry jargon or fully understand niche roles. Always review AI-generated descriptions to ensure accuracy and relevance.

3. Overuse of keywords

While ChatGPT optimizes resumes for Applicant Tracking Systems (ATS), it might overuse buzzwords, making your resume sound unnatural. Be mindful of balancing keyword inclusion with readability.

4. Lack of career context

AI won’t automatically highlight long-term career growth, strategic achievements, or unique contributions unless you specify them in your prompt. Provide key details so ChatGPT can enhance the narrative.

5. Formatting constraints

ChatGPT creates well-structured content, but it won’t design a visually appealing resume. Use word processors or resume builders to perfect the final layout.

6. Requires human oversight

A strong resume often needs multiple revisions. ChatGPT can help polish your content, but refining the language and structure ensures your resume is compelling and professional.

3 best practices for using ChatGPT for writing resumes

Despite its limitations, ChatGPT can still be a powerful tool for crafting an effective resume if used correctly. Here are three key best practices to get the most out of AI-driven resume writing:

1. Be specific with your prompts

The more details you provide, the better your results. Generic prompts lead to generic responses.

Instead of “Describe my role as a project manager,” write “Summarize my project management experience, emphasizing risk management and team leadership in an IT setting.”

2. Add a personal touch

ChatGPT gives you a solid foundation, but your resume still needs your voice. Editing and adding personal insights, unique achievements, and career highlights will make it truly stand out.

3. Review for ATS compatibility

Many companies use Applicant Tracking Systems (ATS) to filter resumes based on keywords. Ensure that ChatGPT-generated content includes industry-relevant terms without sounding robotic. The right balance increases your chances of passing the ATS and getting noticed by recruiters.

Beyond resume writing: why you should use ChatGPT in your job search

ChatGPT isn’t just for resume writing; it can transform your job search process. 

Here’s how:

1. Tailored resume and cover letter assistance

Provide ChatGPT with details about your work experience, skills, and the job description, and it will generate personalized resumes and cover letters to match each role. A custom approach makes a stronger impression on employers.

2. Interview preparation

Struggling with interview anxiety? ChatGPT can:

  • Generate common interview questions based on the job description.
  • Help you refine your responses for clarity and impact.
  • Offer feedback on how to structure your answers confidently.

3. Job search strategies

AI can provide insights and strategies for navigating the job market, from optimizing your LinkedIn profile and leveraging job boards to crafting recruiter outreach messages.

4. Networking tips

Building a strong professional network is key to landing opportunities. ChatGPT can suggest:

  • Attending industry events.
  • Joining online forums and LinkedIn groups.
  • Crafting personalized connection messages to professionals in your field.

5. Skill development recommendations

Need to upskill? ChatGPT can:

  • Identify skill gaps based on job descriptions.
  • Suggest online courses, certifications, and resources to improve your expertise.

6. Time management

Job hunting is time-consuming. ChatGPT can help you:

  • Create a job search schedule.
  • Stay organized to reduce stress and boost productivity.

7. Research support

Before applying or attending an interview, knowing the company inside-out gives you a competitive edge. ChatGPT can help you:

  • Research company culture, values, and recent news.
  • Identify key players and decision-makers.
  • Prepare tailored responses that align with the company’s goals.

8. Emotional support and motivation

Job searching comes with highs and lows. While it doesn’t replace human connection, ChatGPT can provide:

  • Encouraging messages when you feel stuck.
  • Tips to maintain motivation and resilience.
  • A space to vent frustrations and refocus.

9. 24/7 Accessibility

Unlike career coaches or mentors, ChatGPT is available anytime you need it, whether it’s late-night resume tweaks or pre-interview prep during lunch breaks.

FAQs about ChatGPT prompts for resume writing

Can ChatGPT help me write my resume?

Yes. ChatGPT is an AI-powered tool that can generate resumes based on the prompts you provide. While it may occasionally make errors, writing a resume is one of the easiest tasks for ChatGPT. Use strategic prompts to get a polished resume in no time.

Will ChatGPT need specific info to write my resume?

Absolutely. ChatGPT does not have access to personal data unless you provide it. For the best results, input details like your work experience, skills, and achievements. You can also use your existing resume as a reference to extract key information.

Is there a way to make my resume visually appealing and trendy?

While ChatGPT can generate content, you can guide it to structure your resume in a visually appealing way. To do this:

  • Upload or reference modern resume templates found online.
  • Ask ChatGPT to format sections according to a specific template.
  • Use design tools like Canva, Zety, or Novoresume to refine the final layout.

Wrapping it up

ChatGPT is a valuable tool for optimizing resumes, but it’s not a substitute for human review. AI-generated resumes may contain generic phrases, so customization is necessary to reflect your unique experiences and skills. Using strategic prompts and refining the output allows you to improve the resume-writing process and increase your chances of success.

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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¿Se puede confiar en Sam Altman con el futuro?

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En 2017, poco después de que los investigadores de Google inventaron un nuevo tipo de red neuronal llamada Transformer, un joven ingeniero de OpenAi llamado Alec Radford comenzó a experimentar con ella. Lo que hizo que la arquitectura del transformador fuera diferente a la de los sistemas de IA existentes fue que podía ingerir y hacer conexiones entre los más grandes volúmenes de texto, y Radford decidió entrenar su modelo en una base de datos de siete mil libros en inglés no publicados: ruido, aventura, cuentos especulativos, la gama completa de fantasía e invención humana. Luego, en lugar de pedirle a la red que traduzca el texto, como lo habían hecho los investigadores de Google, lo llevó a predecir la siguiente palabra más probable en una oración.

La máquina respondió: una palabra, luego otra y otra, cada nuevo término inferido de los patrones enterrados en esos siete mil libros. Radford no le había dado reglas de gramática o una copia de Strunk and White. Simplemente lo había alimentado con historias. Y, de ellos, la máquina parecía aprender a escribir por su cuenta. Se sintió como un truco mágico: Radford volcó el interruptor, y algo vino de la nada.

Sus experimentos sentaron las bases para ChatGPT, lanzadas en 2022. Incluso ahora, mucho después de esa primera Jolt, la generación de texto aún puede provocar una sensación de incansable. Pídale a ChatGPT que cuente una broma o escriba un guión, y lo que devuelve, en ración bueno, pero de manera confiable, es una especie de curva estadística adecuada para el vasto corpus en el que fue entrenado, cada oración que contiene rastros de la experiencia humana codificada en esos datos.

Cuando estoy redactando un correo electrónico y un tipo, “Hola, muchas gracias por”, luego pausa, y el programa sugiere “tomar”, luego “el”, entonces “tiempo”, me he vuelto recientemente consciente de cuál de mis pensamientos diverge del patrón y qué se ajusta a él. Mis mensajes ahora están sombreados por la imaginación general de los demás. Muchos de los cuales, al parecer, quieren agradecer a alguien por tomar. . . el . . . tiempo.

Que el avance de Radford ocurrió en Operai no fue un accidente. La organización había sido fundada, en 2015, como un “Proyecto Manhattan sin fines de lucro para IA”, con fondos tempranos de Elon Musk y el liderazgo de Sam Altman, quien pronto se convirtió en su cara pública. A través de una asociación con Microsoft, Altman aseguró el acceso a poderosas infraestructuras informáticas. Pero, para 2017, el laboratorio todavía estaba buscando un logro de firma. En otra pista, los investigadores de Operai enseñaban a un robot virtual en forma de T para voltear: el bot intentaría movimientos aleatorios, y los observadores humanos votarían sobre qué se parecían a un flip. Con cada ronda de retroalimentación, mejoró, minimalmente, pero medidablemente. La compañía también tenía un espíritu distintivo. Sus líderes hablaron sobre la amenaza existencial de la inteligencia general artificial, el momento, definida vagamente, cuando las máquinas superarían la inteligencia humana, mientras la persiguen implacablemente. La idea parecía ser que la IA era potencialmente tan amenazante que era esencial construir una buena IA más rápido que cualquier otra persona podría construir una mala.

Incluso los recursos de Microsoft no eran ilimitados; Los chips y la potencia de procesamiento dedicado a un proyecto no se pueden usar para otro. A raíz del avance de Radford, el liderazgo de Openai, especialmente el genial Altman y su cofundador y científico jefe, el débilmente chamánico Ilya Sutskever, tomó una serie de decisiones fundamentales. Se concentrarían en modelos de idiomas en lugar de, por ejemplo, los robots de flujo posterior. Dado que las redes neuronales existentes ya parecían capaces de extraer patrones de los datos, el equipo decidió no concentrarse en el diseño de la red, sino para acumular la mayor cantidad de datos de capacitación posible. Se movieron más allá del caché de libros inéditos de Radford y se convirtieron en un pantano de transcripciones de YouTube y charla de tableros de mensajes: el lenguaje raspado de Internet en un arrastre generalizado.

Ese enfoque para el aprendizaje profundo requirió más poder informático, lo que significó más dinero, ejerciendo tensión en el modelo original sin fines de lucro. Pero funcionó. GPT-2 fue lanzado en 2019, un evento de época en el mundo de la IA, seguido por el ChatGPT más orientado al consumidor en 2022, que causó una impresión similar en el público en general. Los números de usuario aumentaron, al igual que una sensación de impulso místico. En un retiro fuera del sitio cerca de Yosemite, Sutskever, según los informes, incendió una efigie que representa la inteligencia artificial no alineada; En otro retiro, lideró a colegas en un canto: “Siente el Agi. Siente el agi”.

En el espinoso “Imperio de la IA: Dreams and Nightmares in Sam Altman’s OpenAi” (Penguin Press), Karen Hao rastrea las consecuencias de los avances de GPT a través de los rivales de OpenAi: Google, Meta, Antropic, Baidu, y argumenta que cada compañía, a su manera, se refleja las elecciones de Altman. El modelo de escala OpenAI a toda costa se convirtió en el incumplimiento de la industria. El libro de Hao es a la vez admirablemente detallado y un dedo puntiagudo largo. “Era específicamente OpenAi, con sus orígenes multimillonario, una inclinación ideológica única y la unidad singular de Altman, la red y el talento de recaudación de fondos, que creó una combinación madura por su visión particular de emerger y hacerse cargo”, escribe. “Todo lo que Openai hizo fue lo contrario de inevitable; los costos globales explosivos de sus modelos masivos de aprendizaje profundo, y la peligrosa raza que provocó en toda la industria para escalar tales modelos a los límites planetarios, solo podría haber surgido del único lugar que realmente hizo”. En otras palabras, hemos sido seducidos, llenos por la retórica espeluznante y de alta mentalidad de riesgo existencial. La historia de la evolución de la IA durante la última década, en la narración de Hao, no se trata realmente de la fecha de adquisición de la máquina o el grado de control humano sobre la tecnología, los términos del debate de AGI. En cambio, es una historia corporativa sobre cómo terminamos con la versión de AI que tenemos.

Hao escribe el “pecado original” de este brazo de tecnología, yacía en una decisión de un matemático de Dartmouth llamado John McCarthy, en 1955, para acuñar la frase “inteligencia artificial” en primer lugar. “El término se presta a las exageraciones casuales antropomorfizantes y sin aliento sobre las capacidades de la tecnología”, observa. Como evidencia, señala a Frank Rosenblatt, un profesor de Cornell que, a finales de los años cincuenta, ideó un sistema que podía distinguir entre cartas con un pequeño cuadrado a la derecha contra la izquierda. Rosenblatt lo promovió como el cerebro, en su camino hacia la sensibilidad y la autocreplicación, y estas afirmaciones fueron recogidas y transmitidas por la Nueva York Veces. Pero una vacilación cultural más amplia sobre las implicaciones de la tecnología significaba que, una vez que OpenAi, hizo su avance, Altman, su CEO, se veía para ser visto no solo como un administrador fiduciario sino también como ético. La pregunta de fondo que comenzó a burbujear alrededor del valle, Keach Hagey escribe en “The Optimist: Sam Altman, OpenAi, y la carrera para inventar el futuro” (Norton): “Primero susurró, luego murmuró y luego aparece en ensayos en línea elaborados de los desertores de la compañía: ¿podemos confiar en esta persona para llevarnos a Agi?”

Dentro del mundo de los fundadores de la tecnología, Altman podría haber parecido un candidato bastante confiable. Salió de sus veinte años no solo muy influyente y muy rico (lo cual no es inusual en Silicon Valley), sino con su reputación moral básicamente intacta (lo cual es). Criado en un suburbio de St. Louis en un hogar judío de reforma, el mayor de cuatro hijos de un desarrollador de bienes raíces y un dermatólogo, había sido identificado desde el principio como una especie de niño polimatico en John Burroughs, una escuela preparatoria local. “Su personalidad me recordó a Malcolm Gladwell”, le dice a Hagey la cabeza de la escuela, Andy Abbott. “Puede hablar de cualquier cosa y es realmente interesante”: computadoras, política, Faulkner, derechos humanos.

Altman salió como gay a los dieciséis años. En Stanford, según Hagey, cuya biografía es más convencional que la de Hao, pero es bastante convincente, lanzó una campaña estudiantil en apoyo del matrimonio homosexual y entretuvo brevemente la posibilidad de tomarlo nacional. En una feria empresarial durante su segundo año, en 2005, el altman físicamente leve se paró en una mesa, abrió su teléfono, declaró que la geolocalización era el futuro e invitó a cualquier persona interesada a unirse a él. Pronto, se retiró y dirigía una compañía llamada Loopt. Abbott recordó el momento en que escuchó que su antiguo estudiante iba a la tecnología. “Oh, no vayas en esa dirección, Sam”, dijo. “¡Eres tan agradable!”

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LIVE: Sam Altman on Building the ‘Core AI Subscription’

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Pat Grady: Our next guest needs no introduction, so I’m not gonna bother introducing him—Sam Altman. I will just say Sam is now three for three in joining us to share his thoughts at the three AI Ascents that we’ve had, which we really appreciate. So I just want to say thank you for being here.

Sam Altman: This was our first office.

[applause]

Pat Grady: That’s right. Oh, that’s right. Say that again.

Sam Altman: Yeah, this was—this was our first office. So it’s nice to be back.

Alfred Lin: Let’s go back to the first office here. You started in 2016?

Sam Altman: Yeah.

Alfred Lin: 2016. We just had Jensen here, who said that he delivered the first DGX-1 system over here.

Sam Altman: He did, yeah. It’s amazing how small that thing looks now.

Alfred Lin: Oh, versus what?

Sam Altman: Well, the current boxes are still huge, but yeah, it was a fun throwback.

Alfred Lin: How heavy was it?

Sam Altman: That was still when you could kind of like lift one yourself. [laughs]

Alfred Lin: You said it was about 70 pounds.

Sam Altman: I mean, it was heavy, but you could carry it.

Alfred Lin: So did you imagine that you’d be here today in 2016?

Sam Altman: No. It was like we were sitting over there, and there were 14 of us or something.

Alfred Lin: And you were hacking on this new system?

How OpenAI got to ChatGPT

Sam Altman: I mean, even that was like a—we were sitting around looking at whiteboards, trying to talk about what we should do. This was a—it’s almost impossible to sort of overstate how much we were like a research lab with a very strong belief and direction and conviction, but no real kind of like action plan. I mean, not only was, like, the idea of a company or a product sort of unimaginable, the specific—like, LLMs as an idea were still very far off. We’re trying to play video games.

Alfred Lin: Trying to play video games. Are you still trying to play video games?

Sam Altman: No, we’re pretty good at that.

Alfred Lin: All right. So it took you another six years for the first consumer product to come out, which is ChatGPT. Along the way, how did you sort of think about milestones to get something to that level?

Sam Altman: It’s like an accident of history. The first consumer product was not ChatGPT.

Alfred Lin: That’s right.

Sam Altman: It was Dall-E. The first product was the API. So we had built—you know, we kind of went through a few different things. We were—a few directions that we really wanted to bet on. Eventually, as I mentioned, we said, “Well, we gotta build a system to see if it’s working, and we’re not just writing research papers. So we’re gonna see if we can, you know, play a video game. Well, we’re gonna see if we can do a robot hand. We’re gonna see if we can do a few other things.”

And at some point in there, one person, and then eventually a team, got excited about trying to do unsupervised learning and to build language models. And that led to GPT1, and then GPT2. And by the time of GPT3, we both thought we had something that was kind of cool, but we couldn’t figure out what to do with it. And also we realized we needed a lot more money to keep scaling. You know, we had done GPT3, we wanted to go to GPT4. We were heading into the world of billion-dollar models. It’s, like, hard to do those as a pure science experiment, unless you’re like a particle accelerator or something. Even then it’s hard.

So we started thinking, okay, we both need to figure out how this can become a business that can sustain the investment that it requires. And also we have a sense that this is heading towards something actually useful. And we had put GPT2 out as model weights, and not that much had happened.

One of the things that I had just observed about companies’ products in general is if you do an API, it usually works somehow on the upside. This is, like, true across many, many YC companies. And also that if you make something much easier to use, there’s usually a huge benefit to that. So we’re like, well, it’s kind of hard to run these models that are getting big. We’ll go write some software, do a really good job of running them, and also we’ll then, rather than build a product because we couldn’t figure out what to build, we will hope that somebody else finds something to build.

And so I forget exactly when, but maybe it was like June of 2020, we put out GPT3 in the API. And the world didn’t care, but sort of Silicon Valley did. They’re like, “Oh, this is kind of cool. This is pointing at something.” And there was this weird thing where, like, we got almost no attention from most of the world. And some startup founders were like, “Oh, this is really cool.” Or some of them are like, “This is AGI.”

The only people that built real businesses with the GPT3 API that I can remember were these company—a few companies that did, like, copywriting as a service. That was kind of the only thing GPT3 was over the economic threshold on. But one thing we did notice, which eventually led to ChatGPT, is even though people couldn’t build a lot of great businesses with the GPT3 API, people love to talk to it in the Playground.

And it was terrible at chat. We had not, at that point, figured out how to do RLHF to make it easy to chat with. But people loved to do it anyway. And in some sense, that was the kind of only killer use, other than copywriting, of the API product that led us to eventually build ChatGPT.

By the time ChatGPT 3.5 came out, there were maybe, like, eight categories instead of one category where you could build a business with the API. But our conviction that people just want to talk to the model had gotten really strong. So we had done Dall-E, and Dall-E was doing okay. But we knew we kind of wanted to build—especially along with the fine tuning we were able to do, we knew we wanted to build this model, this product that let you talk to the model.

Alfred Lin: And it launched in 2022.

Sam Altman: Yes.

Alfred Lin: Yeah, that’s six years from when the first …

Sam Altman: November 30, 2022. Yeah.

Alfred Lin: So there’s a lot of work leading up to that. And 2022, it launched. Today, it has over 500 million people who talk to it on a weekly basis.

Sam Altman: Yeah

Alfred Lin: [laughs] All right. All right. So by the way, get ready for some audience questions, because that was Sam’s request. You’ve been here for every single one of the Ascents, as Pat mentioned, and there’s been some—lots of ups and downs, but seems like the last six months it’s just been shipping, shipping, shipping. Shipped a lot of stuff. And it’s amazing to see the product velocity, the shipping velocity continue to increase. So this is like multi, sort of, part question. How have you gotten a large company to, like, increase product velocity over time?

Sam Altman: I think a mistake that a lot of companies make is they get big and they don’t do more things. So they just, like, get bigger because you’re supposed to get bigger, and they still ship the same amount of product. And that’s when, like, the molasses really takes hold. Like, I am a big believer that you want everyone to be busy. You want teams to be small, you want to do a lot of things relative to the number of people you have. Otherwise, you just have, like, 40 people in every meeting and huge fights over who gets what tiny part of the product.

There was this old observation of business that a good executive is a busy executive because you don’t want people, like, muddling around. But I think it’s like a good—you know, at our company and many other companies, like, researchers, engineers, product people, they drive almost all the value. And you want those people to be busy and high impact. So if you’re going to grow, you better do a lot more things, otherwise you kind of just have a lot of people sitting in a room fighting or meeting or talking about whatever. So we try to have, you know, relatively small numbers of people with huge amounts of responsibility. And the way to make that work is to do a lot of things.

And also, like, we have to do a lot of things. I think we really do now have an opportunity to go build one of these important internet platforms. But to do that, like, if we really are going to be people’s personalized AI that they use across many different services and over their life and across all of these different kind of main categories and all the smaller ones that we need to figure out how to enable, then that’s just a lot of stuff to go build.

Building the core AI subscription

Alfred Lin: Anything you’re particularly proud of that you’ve launched in the last six months?

Sam Altman: I mean, the models are so good now. Like, they still have areas to get better, of course, and we’re working on that fast. But, like, I think at this point, ChatGPT is a very good product because the model is very good. I mean, there’s other stuff that matters, too, but I’m amazed that one model can do so many things so well.

Alfred Lin: You’re building small models and large models. You’re doing a lot of things, as you said. So how does this audience stay out of your way and not be roadkill?

[laughter]

Sam Altman: I mean, like, I think the way to model us is we want to build—we want to be people’s, like, core AI subscription and way to use that thing. Some of that will be like what you do inside of ChatGPT. We’ll have a couple of other kind of like really key parts of that subscription, but mostly we will hopefully build this smarter and smarter model. We’ll have these surfaces, like future devices, future things that are sort of similar to operating systems, whatever.

And then we have not yet figured out exactly, I think, what the sort of API or SDK or whatever you want to call it is to really be our platform. But we will. It may take us a few tries, but we will. And I hope that that enables, like, just an unbelievable amount of wealth creation in the world, and other people to build onto that. But yeah, we’re going to go for, like, the core AI subscription and the model, and then the kind of core surfaces, and there will be a ton of other stuff to build.

Alfred Lin: So don’t be the core AI subscription. But you can do everything else.

Sam Altman: We’re gonna try. I mean, if you can make a better core AI subscription offering than us, go ahead. That’d be great. Okay.

Alfred Lin: It’s rumored that you’re raising $40 billion or something like that at $340 billion valuation. It’s rumors. I don’t know if this …

Sam Altman: I think we announced that we’re raise …

Alfred Lin: Okay. Well, I just want to make sure that you announced it. What’s your scale of ambition from there, from here?

Sam Altman: We’re going to try to make great models and ship good products, and there’s no master plan beyond that. Like, we’re gonna—I think, like …

Alfred Lin: Sure.

[laughter]

Sam Altman: No, I mean, I see plenty of OpenAI people in the audience. They can vouch for this. Like, we don’t—we don’t sit there and have—like, I am a big believer that you can kind of, like, do the things in front of you, but if you try to work backwards from, like, kind of we have this crazy complex thing, that doesn’t usually work as well. We know that we need tons of AI infrastructure.

Like, we know we need to go build out massive amounts of, like, AI factory volume. We know that we need to keep making models better. We know that we need to, like, build a great top of the stack, like, kind of consumer product and all the pieces that go into that. But we pride ourselves on being, like, nimble and adjusting tactics as the world adjusts.

And so the products, you know, the products that we’re going to build next year, we’re probably not even thinking about right now. And we believe we can build a set of products that people really, really love, and we have, like, unwavering confidence in that, and we believe we can build great models. I’ve actually never felt more optimistic about our research roadmap than I do right now.

Alfred Lin: What’s on the research roadmap?

Sam Altman: Really smart models.

[laughter]

Sam Altman: But in terms of the steps in front of us, we kind of take those one or two at a time.

Alfred Lin: So you believe in working forwards, not necessarily working backwards.

Sam Altman: I have heard some people talk about these brilliant strategies of how this is where they’re going to go and they’re going to work backwards. And this is take over the world. And this is the thing before that, and this is that, and this is that, and this is that, and this is that, and here’s where we are today. I have never seen those people, like, really massively succeed.

Alfred Lin: Got it. Who has a question? There’s a mic coming your way being thrown.

The generational divide in AI

Audience Member: What do you think the larger companies are getting wrong about transforming their organizations to be more AI native in terms of both using the tooling as well as producing products? Smaller companies are clearly just beating the crap out of larger ones when it comes to innovation here.

Sam Altman: I think this basically happens every major tech revolution. There’s nothing, to me, surprising about it. The thing that they’re getting wrong is the same thing they always get wrong, which is like people get incredibly stuck in their ways, organizations get incredibly stuck in their ways. If things are changing a lot every quarter or two, and you have, like, an information security council that meets once a year to decide what applications are going to allow and what it means to, like, put data into a system, like, it’s so painful to watch what happens here.

But, like, you know, this is creative destruction. This is why startups win. This is like how the industry moves forward. I’d say, I feel, like, disappointed but not surprised at the rate that big companies are willing to do this. My kind of prediction would be that there’s another, like, couple of years of fighting, pretending like this isn’t going to reshape everything, and then there’s like a capitulation and a last-minute scramble and it’s sort of too late. And in general, startups just sort of like blow past people doing it the old way.

I mean, this happens to people, too. Like watching, like, a, you know, someone who started—maybe you, like, talk to an average 20 year old and watch how they use ChatGPT, and then you go talk to, like, an average 35 year old on how they use it or some other service. And, like, the difference is unbelievable. It reminds me of, like, you know, when the smartphone came out and, like, every kid was able to use it super well. And older people just, like, took, like, three years to figure out how to do basic stuff. And then, of course, people integrate. But the sort of like generational divide on AI tools right now is crazy. And I think companies are just another symptom of that.

Alfred Lin: Anybody else have a question?

Audience Member: Just to follow up on that. What are the cool use cases that you’re seeing young people using with ChatGPT that might surprise us?

Sam Altman:They really do use it like an operating system. They have complex ways to set it up, to connect it to a bunch of files, and they have fairly complex prompts memorized in their head or in something where they paste in and out. And I mean, that stuff, I think, is all cool and impressive.

And there’s this other thing where, like, they don’t really make life decisions without asking, like, ChatGPT what they should do. And it has, like, the full context on every person in their life and what they’ve talked about. And, you know, like, the memory thing has been a real change there. But yeah, I think gross oversimplification but, like, older people use ChatGPT as a Google replacement. Maybe people in their 20s and 30s use it as like a life advisor something. And then, like, people in college use it as an operating system.

Alfred Lin: How do you use it inside of OpenAI?

Sam Altman: I mean, it writes a lot of our code.

Alfred Lin: How much?

Sam Altman: I don’t know the number. And also when people say the number, I think is always this very dumb thing because like you can write …

Alfred Lin: Someone said Microsoft code is 20, 30 percent.

Sam Altman: Measuring by lines of code is just such an insane way to, like, I don’t know. Maybe the thing I could say is it’s writing meaningful code. Like, it’s writing—I don’t know how much, but it’s writing the parts that actually matter.

Alfred Lin: That’s interesting. Next question.

Audience Member: Hey Sam.

Alfred Lin: Is the mic going around?

Will the OpenAI API be around in 10 years?

Audience Member: Okay. Hey Sam. I thought it was interesting that the answer to Alfred’s question about where you guys want to go is focused mostly around consumer and being the core subscription, and also most of your revenue comes from consumer subscriptions. Why keep the API in 10 years?

Sam Altman: I really hope that all of this merges into one thing. Like, you should be able to sign in with OpenAI to other services. Other services should have an incredible SDK to take over the ChatGPT UI at some point. But to the degree that you are going to have a personalized AI that knows you, that has your information, that knows what you want to share later, and has all this context on you, you’ll want to be able to use that in a lot of places. Now I agree that the current version of the API is very far off that vision, but I think we can get there.

Audience Member: Yeah. Maybe I have a follow up question to that one. You kind of took mine. But a lot of us who are building application layer companies, we want to, like, use those building blocks, those different API components—maybe the Deep Research API, which is not a release thing, but could be—and build stuff with them. Is that going to be a priority, like, enabling that platform for us? How should we think about that?

Sam Altman: Yeah. I think, I hope something in between those that there is sort of like a new protocol on the level of HTTP for the future of the internet, where things get federated and broken down into much smaller components, and agents are, like, constantly exposing and using different tools and authentication, payment, data transfer. It’s all built in at this level that everybody trusts; everything can talk to everything. And I don’t quite think we know what that looks like, but it’s coming out of the fog, and as we get a better sense for that—again, it’ll probably take us, like, a few iterations toward that to get there, but that’s kind of where I would like to see things go.

Audience Member: Hey Sam, back here. My name is Roy. I’m curious. The AI would obviously do better with more input data. Is there any thought to feeding sensor data? And what type of sensor data, whether it’s temperature, you know, things in the physical world that you could feed in that it could better understand reality?

Sam Altman: People do that a lot. People put that into—people have whatever—they build things where they just put sensor data into an o3 API call or whatever. And for some use cases it does work super well. I’d say the latest models seem to do a good job with this, and they used to not, so we’ll probably bake it in more explicitly at some point, but there’s already a lot happening there.

Voice in ChatGPT

Audience Member: Hi Sam, I was really excited to play with the voice model in the playground. And so I have two questions. The first is: How important is voice to OpenAI in terms of stack ranking for infrastructure? And can you share a little bit about how you think it’ll show up in the product, in ChatGPT, the core thing?

Sam Altman: I think voice is extremely important. Honestly, we have not made a good enough voice product yet. That’s fine. Like, it took us a while to make a good enough text model, too. We will crack that code eventually, and when we do, I think a lot of people are going to want to use voice interaction a lot more.

When we first launched our current voice mode, the thing that was most interesting to me was it was a new stream on top of the touch interface. You could talk and be clicking around on your phone at the same time. And I continue to think there is something amazing to do about, like, voice plus GUI interaction that we have not cracked. But before that, we’ll just make voice really great. And when we do, I think there’s a whole—not only is it cool with existing devices, but I sort of think voice will enable a totally new class of devices if you can make it feel like truly human-level voice.

How central is coding?

Audience Member: Similar question about coding. I’m curious, is coding just another vertical application, or is it more central to the future of OpenAI?

Sam Altman: That one’s more central to the future of OpenAI. Coding, I think, will be how these models kind of—right now, if you ask ChatGPT a response, you get text back, maybe you get an image. You would like to get a whole program back. You would like, you know, custom-rendered code for every response—or at least I would. You would like the ability for these models to go make things happen in the world. And writing code, I think, will be very central to how you, like, actuate the world and call a bunch of APIs or whatever. So I would say coding will be more in a central category. We’ll obviously expose it through our API and our platform as well, but ChatGPT should be excellent at writing code.

Alfred Lin: So we’re gonna move from the world of assistance to agents to basically applications all the way through?

Sam Altman: I think it’ll feel like very continuous, but yes.

Audience Member: So you have conviction in the roadmap about smarter models. Awesome. I have this mental model. There’s some ingredients, like more data, bigger data centers, a transformer as architecture, test time compute. What’s like an underrated ingredient, or something that’s going to be part of that mix that maybe isn’t in the mental model of most of us?

Sam Altman: I mean, that’s kind of the—each of those things are really hard. And, you know, obviously, like, the highest leveraged thing is still big algorithmic breakthroughs. And I think there still probably are some 10Xs or 100Xs left. Not very many, but even one or two is a big deal. But yeah, it’s kind of like algorithms, data, compute, those are sort of the big ingredients.

How to run a great research lab

Audience Member: Hi. So my question is, you run one of the best ML teams in the world. How do you balance between letting smart people like Isa chase Deep Research or something else that seems exciting, versus going top down and being like, “We’re going to build this, we’re going to make it happen. We don’t know if it’ll work.”

Sam Altman: There are some projects that require so much coordination that there has to be a little bit of, like, top down quarterbacking. But I think most people try to do way too much of that. I mean, this is like—there’s probably other ways to run good AI research or good research labs in general, but when we started OpenAI, we spent a lot of time trying to understand what a well-run research lab looks like. And you had to go really far back in the past.

In fact, almost everyone that could help advise us on this was dead. It had been a long time since there had been good research labs. And people ask us a lot, like, why does OpenAI repeatedly innovate, and why do the other AI labs, like, sort of copy? Or why do Biolab X not do good work and Biolab Y does do good work or whatever.

And we sort of keep saying, “Here’s the principles we’ve observed. Here’s how we learned them, here’s what we looked at in the past.” And then everybody says, “Great, but I’m gonna go do the other thing.” That’s fine, you came to us for advice, you do what you want. But I find it remarkable how much these few principles that we’ve tried to run our research lab on—which we did not invent, we shamelessly copied from other good research labs in history—have worked for us. And then people who have had some smart reason about why they were going to do something else that didn’t work.

Audience Member: So it seems to me that these large models, one of the really fascinating things as a lover of knowledge about them, is that they potentially embody and allow us to answer these amazing longstanding questions in the humanities about cyclical changes and artistic interesting things, or even like to what extent systematic prejudice and other sorts of things are really happening in society, and can we sort of detect these very subtle things which we could never really do more than hypothesize before. And I’m wondering whether OpenAI has a thought about, or even a roadmap for working with academic researchers, say, to help unlock some of these new things we could learn for the first time in the humanities and in the social sciences?

Sam Altman: We do, yeah. I mean, it’s amazing to see what people are doing there. We do have academic research programs where we partner and do some custom work, but mostly people just say, like, “I want access to the model or maybe I want access to the base model.” And I think we’re really good at that. One of the kind of cool things about what we do is so much of our incentive structure is pushed towards making the models as smart and cheap and widely accessible as possible, that that serves academics and really the whole world very well. So, you know, we do some custom partnerships, but we often find that what researchers or users really want is just for us to make the general model better across the board. And so we try to focus kind of 90 percent of our thrust vector on that.

Customization and the platonic ideal state

Audience Member: I’m curious how you’re thinking about customization. So you mentioned the federated sign in with OpenAI; bringing your memories, your context. I’m just curious if you think customization and these different post training on application specific things is a band aid, or is trying to make the core models better, and how you’re thinking about that.

Sam Altman: I mean, in some sense, I think platonic ideal state is a very tiny reasoning model with a trillion tokens of context that you put your whole life into. The model never retrains, the weights never customize, but that thing can reason across your whole context and do it efficiently. And every conversation you’ve ever had in your life, every book you’ve ever read, every email you’ve ever read, everything you’ve ever looked at is in there, plus connected all your data from other sources. And, you know, your life just keeps appending to the context, and your company just does the same thing for all your company’s data. We can’t get there today, but I think of kind of like anything else as a compromise off that platonic ideal. And that is how I would eventually, I hope, we do customization.

Alfred Lin: One last question in the back.

Value creation in the coming years

Audience Member: Hi Sam, thanks for your time. Where do you think most of the value creation will come from in the next 12 months? Would it be maybe advanced memory capabilities, or maybe security or protocols that allow agents to do more stuff and interact with the real world?

Sam Altman: I mean, in some sense the value will continue to come from really three things, like building out more infrastructure, smarter models, and building the kind of scaffolding to integrate this stuff into society. And if you push on those, I think the rest will sort itself out.

At a higher level of detail, I kind of think 2025 will be a year of sort of agents doing work, coding in particular, I would expect to be a dominant category. I think there’ll be a few others, too. Next year is a year where I would expect more like sort of AIs discovering new stuff, and maybe we have AIs make some very large scientific discoveries or assist humans in doing that.

And I am kind of a believer that most of the sort of real sustainable economic growth in human history comes from once you’ve kind of spread out and colonized the Earth, most of it comes from just better scientific knowledge and then implementing that for the world. And then ‘27, I would guess, is the year where that all moves from the sort of intellectual realm to the physical world, and robots go from a curiosity to a serious economic creator of value. But that was like an off the top of my head kind of guess right now.

Alfred Lin: Can I close with a few quick questions?

Sam Altman: Great.

Alfred Lin: One of which is GPT5. Is that going to be just all smarter than all of us here?

Sam Altman: I mean, if you think you’re, like, way smarter than o3, then maybe you have a little bit of a ways to go, but o3 is already pretty smart.

Leadership advice for founders

Alfred Lin: [laughs] Two personal questions. Last time you were here, you’d just come off a blip with OpenAI. Given some perspective now and distance, do you have any advice for founders here about resilience, endurance, strength?

Sam Altman: It gets easier over time, I think. Like, you will face a lot of adversity in your journey as a founder, and the kind of challenges get harder and higher stakes, but the emotional toll gets easier as you kind of go through more bad things. So, you know, in some sense yeah, even though abstractly the challenges get bigger and harder, your ability to deal with them, the sort of resilience you build up gets easier, like, with each one you kind of go through.

And then I think the hardest thing about the big challenges that come as a founder is not the moment when they happen. Like, a lot of things go wrong in the history of a company. In the acute thing, you can kind of like—you know, you get a lot of support, you can function off a lot of adrenaline. Like, even the really big stuff, like, your company runs out of money and fails, like, a lot of people will come and support you, and you kind of get through it and go on to the new thing.

The thing that I think is harder to sort of manage your own psychology through is the sort of, like, fallout after. And I think if there’s—you know, people focus a lot about how to work in that one moment during the crisis, and the really valuable thing to learn is how you, like, pick up the pieces. There’s much less talk about that. I think there’s—I’ve never actually found something good to point founders to to go read about, you know, not how you deal with the real crisis on day zero or day one or day two, but on day 60 as you’re just trying to, like, rebuild after it. And that’s the area that I think you can practice and get better at.

Alfred Lin: Thank you, Sam. You’re officially still on paternity leave, I know. So thank you for coming in and speaking with us. Appreciate it.

Sam Altman: Thank you.

[applause]

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Noticias

Las personas comparten cosas ‘totalmente desquiciadas’ para las que han usado Chatgpt

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El trastorno de ansiedad afecta a casi una quinta parte de la población, solo solo en los Estados Unidos. Nami.org informa que más del 19 por ciento de los estadounidenses sufren un trastorno de ansiedad, que debe distinguirse de los nervios regulares de “adrenalina” que alguien podría obtener de hablar en público o estar atrapados en el tráfico.

Para aquellos que saben, a veces puede parecer debilitante. Al igual que con muchos diagnósticos de salud mental, hay una variedad de gravedad y causas. Estamos “nacidos con él” genéticamente, o un evento traumático puede haber ocurrido que lo desencadena. No importa por qué o “qué tan mal” ocurre, puede sentirse especialmente aislante para aquellos que lo soportan, y para aquellos que quieren ayudar pero no saben qué decir o hacer. La terapia puede ayudar, y cuando sea necesario, medicamentos. Pero entenderlo, para todos los involucrados, puede ser complicado.

https://www.youtube.com/watch?v=bvjkf8iurje– Clip de YouTube sobre ansiedadwww.youtube.com, Psych Hub

La ansiedad no es como un resfriado que puedes atrapar y tratar con un antibiótico. Es difícil explicar exactamente cómo se siente a alguien que no lo experimenta. La mejor manera que puedo describir es que siempre estás sentado en el incómodo pozo de anticipación.

No solo me refiero a una angustia existencial como “¿Hay una vida futura?” o “¿Moriré solo?” Quiero decir, así: “¿Se cerrará mi auto en una intersección ocupada? ¿Qué pasa si necesito un conducto raíz de nuevo algún día? (Lo haré). ¿Llamará? ¿Qué pasa si mi caminante de perros se olvida de venir mientras estoy tentando? ¿Qué pasa si alguien corre una luz roja? ¿Dije lo correcto en la fiesta? ¿Cuál es mi presión arterial?” ¿Estás agotado todavía? Imagine preguntas grandes y pequeñas como esta corriendo continuamente en un bucle a través de la materia gris de un cerebro, sumergiendo dentro y fuera de la lógica en el lóbulo frontal y luego Haga clic, haga clic, haga clic en A medida que se engancha en un borde irregular y se repite … una y otra y otra vez.

Un registro gira en un bucle.Giphy gif por shingo2

Aunque bien intencionado, hay soluciones que las personas a menudo ofrecen que, al menos para mí, hacen que la tensión peor. Muchos terapeutas de salud mental han intervenido en las frases mejor para evitar y han ofrecido alternativas más útiles.

1) En laureltherapy.net, comienzan con el viejo castaño: “Solo relájate”.

Cuando cada sinapsis en tu cerebro está en alerta máxima, alguien que te dice que “simplemente derribarla solo” solo lo empeora. Es literalmente lo contrario de lo que está haciendo tu química cerebral (y no por elección). Es similar a “simplemente calmarse”, que por la misma razón puede sentirse despectivo e inútil.

Ofrecen en su lugar: “Estoy aquí para ti”. Reconoce su incomodidad y da un espacio suave para caer.

2) Otra oración para evitar: “Eres demasiado sensible”.

Esto sería como decirle a alguien con una discapacidad física que es su culpa. En cambio, ofrecen: “Tus sentimientos tienen sentido”.

A veces solo quieres sentirte visto/escuchado, especialmente por los más cercanos a ti. Lo último que uno necesita es sentirse mal por sentirse mal.

3) En EverydayHealth.com, Michelle Pugle (según lo revisado por Seth Gillihan, PhD) cita a Helen Egger, MD, y da este consejo:

No digas “Lo estás pensando demasiado”.

Ella da algunas opciones para probar en su lugar, pero mi favorito es: “Estás a salvo”.

Puede sonar cursi, pero cuando realmente estoy girando, es bueno saber que alguien está a mi lado y no juzga mi mente por pensar de manera diferente a la suya.

4) Pugle también aconseja decir “Preocuparse no cambiará nada”.

No puedo decirte con qué frecuencia se me dice esto y, mientras, tal vez, es cierto, nuevamente implica que no hay nada que uno pueda hacer en un momento de pánico. Ella escribe:

“Tratar de calmar la ansiedad de alguien diciéndoles sus pensamientos no son productivos, que valen la pena, o que son una pérdida de tiempo también invalida sus sentimientos e incluso pueden dejarlos sintiéndose más angustiados que antes”, explica Egger.

En su lugar, intente: “¿Quieres hacer algo para tomarte de la cabeza de las cosas?”
Esto da la impresión de que alguien está realmente dispuesto a ayudar y participar, no solo crítica.

5) “Todo está en tu cabeza”.
La difunta Carrie Fisher una vez escribió sobre cuánto odiaba cuando la gente le decía eso, como si eso fuera de alguna manera reconfortante. Parafraseando, su respuesta fue esencialmente: “Lo sé. ¡Es mi cabeza sacarlo de allí!”

https://www.youtube.com/watch?v=A6YOGZ8PCE– YouTubewww.youtube.com

Laurel Therapy sugiere que intente: “La ansiedad puede ser realmente dura”. Personalmente, preferiría: “¿Cómo puedo ayudar?”

Si bien a veces podría sentirse frustrante, la clave, cuando se trata de ansiedad, es ser consciente de que no está avergonzando o condescendiendo.

Aquí hay algunos conceptos más que me ayudan:

GRATITUD

Vi una película llamada Casi tiempo Hace unos años, escrito por Richard Curtis, que tiene una propensión a ser cursi. Pero esta cita es muy hermosa: “Solo trato de vivir todos los días como si hubiera vuelto deliberadamente a este día, para disfrutarlo, como si fuera el último día final de mi vida extraordinaria y ordinaria”. Simplemente me encanta la idea de fingir que hemos viajado el tiempo a cada momento de nuestras vidas a propósito. Y esto ayuda especialmente a los ansiosos porque si es cierto que siempre estamos herramientando en un futuro impredecible en lugar de estar sentados donde el tiempo quiere que estemos, tiene sentido que estuviéramos allí y hemos vuelto a un momento para mostrarle respeto. Ver todos los días y cada pensamiento como un regalo en lugar de un miedo. Ahora eso es algo.

RESPIRAR

Estoy seguro de que has oído hablar de los beneficios de la meditación. Son verdaderos. He visto la práctica de tener en cuenta tu respiración y sentarse aún hacer grandes diferencias en las personas cercanas a mí. No he podido hacer que la meditación sea parte de mi rutina diaria, pero eso no significa que no pueda esforzarme. (Intente, intente de nuevo.) Parto en el yoga y encuentro que ayuda a frenar mi mente considerablemente.

Saber que No son tus pensamientos

Nuestras amígdales (la parte del cerebro, que entre otros roles, provoca nuestra respuesta a las amenazas, reales o percibidas) puede jugar con trucos desagradables para nosotros. No somos la suma total de cada pensamiento que hemos tenido. Por el contrario, creo que somos lo que nosotros hacerno lo que pensamos. Nuestra ansiedad (o depresión) no tiene que definirnos, especialmente cuando sabemos que estamos respondiendo a muchas amenazas que ni siquiera existen. Podemos ser de servicio a los demás. Voluntario cuando sea posible o simplemente sea amable con los que lo rodean todos los días. Eso es lo que nos hace quienes somos. Personalmente, esa idea me calma.

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