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Author Alok Sama on OpenAI, Bubbles, and When to Sell

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We’re talking tech.

Alok Sama is the former president and CFO of SoftBank Group International and the author of the new book The Money Trap: Lost Illusions Inside the Tech Bubble. In this podcast, Motley Fool host Ricky Mulvey caught up with Sama to discuss:

  • OpenAI’s latest fundraising round.
  • “Happiness for everyone” as an investment philosophy.
  • The illusion — and reality — of power.

To catch full episodes of all The Motley Fool’s free podcasts, check out our podcast center. To get started investing, check out our beginner’s guide to investing in stocks. A full transcript follows the video.

This video was recorded on Oct. 12, 2024.

Alok Sama: People often ask me you’re cynical about Silicon Valley, you’re cynical about Wall Street, but you seem to put Masa Son on a pedestal and that’s the reason. He had this quality that completely eludes me, and when he tells me that you’re not enough of a hunter, I get where he’s coming from. I don’t see what he does. I don’t see risk the way he sees it.

Mary Long: I’m Mary Long and that’s Alok Sama, former President and CFO at SoftBank International, and author of the new book, The Money Trap. Lost Illusions inside the Tech Bubble. SoftBank is a Japanese holding company that’s made big bets on some of the biggest names in Tech. Alibaba, ByteDance, Arm Holdings, also Uber, DoorDash, Lemonade, Opendoor, and a lot more. Some of those bets have paid off handsomely. Others quite the opposite. From 2014-2019, Sama was a top executive at SoftBank, where he worked closely with the firm’s founder, Masayoshi Son and had a front row seat as the company launched its legendary $100 billion vision fund. My colleague, Ricky Mulvey recently caught up with Sama for a conversation about the delicious circularity in AI markets. The difference between being a hunter and being a cook, what it means to live in the future, and knowing when to sell. Quick programming note before we get to today’s show. Since this conversation runs a bit longer than usual, we won’t be posting an episode tomorrow. Enjoy the day off Fools. We’ll see you again on Monday.

Ricky Mulvey: We’ll get into the book, but I want to start with this OpenAI news, because you’re comfortable talking about your former employer. You just wrote a book about them, and they’re back in the news with this investment in OpenAI. The nonprofit just raised $6.6 billion at a $157 billion valuation. SoftBank putting $500 million into the mix. What do you make of this valuation, this rise of OpenAI right now?

Alok Sama: Candidly, I think SoftBank investing 500 million is probably the least interesting aspect of the deal. You got to keep in mind as mind boggling as these numbers seem. SoftBank has when I last l close to 40 billion in cash, son signed his last AGM, talked about everything else he’s done previously is a warm up bag. You can put that together in the context of a man who’s been known for big, bold, audacious usually spectacularly successful moves. This is not his big moves, I guess. Let’s talk about OpenAI. To me, the question I get asked a lot is AI, is it overhyped? Are some of these valuations over hyped? When I see Safe Superintelligence, which is another company that raised pre-revenue. Forget about business model, just the concept from our OpenAI employee raising $1 billion. Is it a $5 billion valuation? OpenAI at 157 billion for a company that is bleeding cash, $5 billion from reports and beating people too. They lost their CTO and a whole bunch of people. You have to ask the question. A things getting overdone? Is there element of formal going on? I suspect in the private space there is because, unlike Google, for example, in its early days. with with OpenAI there’s real competition out there.

There’s Google for one, and getting AI right is existential for Google. Talk about deep pockets, Google’s got their own Gemini, LLM. You’ve got Facebook, again, with that monumental user base across its various platforms into Facebook Whatsapp, and they’ve got an open-source AI LLM out there. this competition, there’s real alternatives. Having said that, there’s no doubt, OpenAI is very real, first mover. Chat GPT has become almost synonymous with AI in the eyes of the world. There are strong traction in the enterprise user base. I I don’t argue with the fact that it’s worth a ton. I just wonder about a 150 billion number as I do about 5 billion for Safe Superintelligence for a company, that’s just belly on a concept. That to me and it’s a good thing this stuff is going on in the private markets because I’ve lived through inflated valuations 2000. You had these sorts of things going on in the public market at that point in time.

There are other aspects of OpenAI. Sorry, I’m branding on a little bit, I just find this so interesting that. The other thing that’s really interesting about OpenAI, is you’ve got five capital leading this round. They led the previous round, so they get to mark up the deal in the books at 2X. That’s unusual in VC Lane. People don’t very often do that. You’ve also got investors to the investors who are participating are Microsoft and NVIDIA. Guess what? OpenAI does with the money they raise. They take the cash, and they buy capacity on Microsoft Cloud. The money goes to Microsoft. What does Microsoft do with the money? Well, it buys NVIDIA chips. The money goes to NVIDIA. There’s almost a delicious sort of circularity. It’s a little bit incestuous too. There’s a lot going on in that deal and as great a company as it is, and Sam Ortman, terrific entrepreneur and obviously, a fundraiser and a salesman, too. I think there’s a real risk when you start extrapolating that valuation as people often do in terms of other things going on in the private and the public space.

Ricky Mulvey: What do you think that valuation is based on then? That $157 billion?

Alok Sama: I think that’s my point. I don’t know. Having said that, I’ve been in tech Investment land, and frequently, in my book, I tell the story of how Son, Sam and I have dinner with Mark Zuckerberg, and the one thing that came through to me loud and clear, is Masa’s regret, even pay a not investing in Facebook at a $10 billion valuation and I dare say when Facebook was served up at 10 billion, you and I might have had the same discussion or not come up with an answer, which is what is that 10 billion based on? Look that’s frequently the case with technology. Relatively early stage technology investments. It’s just very difficult to hang your hat on a specific valuation number. There is a huge leap of faith involved, and you take the view that look, there’s an asymmetric payoff. this thing from 150, it could be worth over 2 trillion the way NVIDIA is or Facebook is, right? That’s the only sensible response I can give you. There is no conventional valuation metric that would, as I sit here today, give me enough time to make something up, but I can’t come up with something on the spot of the moment.

Ricky Mulvey: In your book, you talked about these early stage companies, where they don’t have cash flow and that’s often that is what you value companies on, so you have to move to something like, what would it be gross merchandise value or the total amount of sales going on in an online marketplace and not necessarily the cut or the profit even that a company is being taken from that. We’re seeing a lot for the retail investors listening. What what are the company metrics that sort of set off your BS meter for these young emerging exciting companies?

Alok Sama: I think too much of an emphasis on revenue multiples, for example, you talked about GMV. There was a real heart button. GMV is gross merchandise value and, in the context of an e commerce company. you buy something on Amazon for 100 bucks. That’s the gross merchant value. Amazon’s cut of that might be, five or 10%. That’s Amazon’s revenue. You could have a huge GMV and not make any money at all. the 10% is revenue, and then there’s cost. When I see people extrapolating of revenue multiples into infinity, and the profit is a complete leap of faith, I start scratching my head. That to me is is a bit of a red flag. I don’t call it a BS. I think that’s way too strong. I think OpenAI is very real. It’s going to be worth a lot. I just don’t know how much, and I don’t know how to value it.

Ricky Mulvey: You’ve been a part of multiple bull cycles, and your book covers being a part of those, and people go with the herd. They react as if I’m not going to quote directly, but people react as if they’re on drugs when they’re part of these mad herds running toward these evaluations, and for us listening, you’d expect you’d expect the bankers to react as you right? Like, Mr. Spock evaluating these investing decisions with very cold, hard analytical skills. That doesn’t seem to be the case. It seems that emotions continue to rule no matter where you are in the investing spectrum.

Alok Sama: I think that’s always going to be the case. I think 300 years. Book I talked about this wonderful example of this book written by the Scotsman Charles Mackay. I think it was written in the 18th century and this guys like isit’s considered to be, like the ultimate authority on bubbles. He talked about. People might have heard of tulips in Meerland, and how ridiculous that became right there. But but this guy missed the biggest bubble in his own lifetime, which was railroads in England. Those of you might have watched Dan and abbey. Lord Grantham, that’s how he lost his shirt on [laughs] Railroad. This has been documented for a long time and I got to tell you I’ve been in and out of these markets for lost at this point, man, I’m showing my age almost 40 years. I get caught up, too. Everyone goes free.

But I tell you, the one thing that is it’s good, and this is actually really useful to talk about is to the extent there’s frat, a lot of that is in the private markets and not the public markets. The big difference relative to the Internet bubble is the hype at the time was in public markets. You had companies pre-revenue, going public at ridiculous valuation IPOs that were double 2x3x. I think what’s happened now, it’s interesting is you had so much access in the public markets, and we forgotten very quickly in 2021. 2021, you had I think the number is 1,100 IPOs, off which, 600 were SPACs. Remember those? Many of those just blew up. Some of those were like we work, which went to zero, others, 23 and me, for example. All these sacks went public at 10 bucks, but 23 and M is trading at pennies. Again, look at previous cycles, 2000, for example. It takes the IPO market at a minimum of four years to recover, and you haven’t had excess in the public markets. Yes, NVIDIA has been a rocket ship, but if you look at NVIDIA, it creates that depending on what your projection is between 35-40 times earnings. That’s not for a company with 75% profit margins and growing the way it has. That’s not outrageous. Outrageous was Cisco at 200 times earnings in year 2000. by the way, if you’d invested in Cisco in the year 2000, you’d still be losing. It’s the private markets that’s why there’s a lot of raised eyebrows.

Ricky Mulvey: Think why is there so much laggy you think in the private markets compared to the public markets right now, especially with Froth? You mentioned the spack lesson, where I got burned a little bit on a couple of SPACs that I got excited about that still haven’t recovered. But within the private markets especially, it seems to be ruled by almost the lesson that you mentioned earlier with Masa Son not investing in Facebook at $10 million. A lot of these private market investors, VCs, almost don’t lament the things they spent money on and then lost. They lament the opportunities that passed them by that ended up 100 X, 1,000 Xing, that thing.

Alok Sama: Look, these are some of the smartest, savviest people around, and that put Masa Keno Hill in terms of his ability to spot macro trends, and there’s no doubt that what’s going on with AI certainly at the enterprise level, where it’s proving out very quickly, truly is transformational as a productivity true. I think the jury is out in terms of at the individual level, how it might impact our lives. I haven’t seen any apps, the way we did with Web 2.0. Uber, etc. Maybe those will come, but the jury is still out. But at the enterprise level, it is transformational as a productivity true, and people get that, and there’s just not a lot of plays around. As a VC, it’s not a trend you can sit on out. It out. You’re seeing that. There are others, for example, I’m associated with Warburg Pincuse, which is not a household name, but one for people in the business would recognize it as absolutely cutting edge when it comes to growth investing, particularly in technology. They’ve chosen to set out these big flashy evaluations, and I focus instead on AI, the enterprise level and buying it to businesses where you could make a huge impact on margins, can top line, as well as bottom line, leveraging AI. it is I’m being up if I’m answering your question, but from a VC growth investive perspective, it’s like, you can’t afford to sit this out.

Ricky Mulvey: It’s something where with your analytical brain, you can’t value. If we’re moving toward the singularity.

Ricky Mulvey: How do you even put a price tag on that thing? Let’s get in.

Alok Sama: I do put a price tag on dreams a little bit. I may I use that expression in my book. It’s tough. The excitement is very real. I’m excited about it. I just can’t figure out or value it.

Ricky Mulvey: Let’s get into your journey at SoftBank. The investing style really revolves around the happiness for everyone pitch, this dream of Masa Son. While I know you’ve heard it a bunch of times, many of our listeners haven’t. What is happiness for everyone?

Alok Sama: What he’s trying to get at is idealism when it comes to technology investing. Let’s go back. General Electric used to be a technology company once upon a time. It’s Thomas Edison’s Company. You could make a legitimate case that electricity, light bubs, for example, contributed to helps for everyone. I think that’s a lot of what Son Sann’s talking about, which is leveraging technology to improve lives. Happiness, he can get overly philosophical about that, but that’s what he’s trying to get at. The first time I met him, I remember right in the lobby of his building, and then he talked about it when I met with him. He had this empathetic robot, Pepper, which was supposed to be a companion for the agent. This is again, AI powered with an emotional engine, supposed to be a companion in Japan, with an aging population. It’s a real issue with the highest suicide rates in the world. That’s addressing, that’s laudable. That’s a lot of where Masa is coming from. Very different from history of AI is a benign. It’s going to make lives better view, different from Elon who thinks that this might be something we have to run away from and colonize mass.

Ricky Mulvey: There’s also I was talking to Nate Silver on the show a few weeks ago. It’s the AI makes the world a worse version of a casino. You mentioned to the robot, and many of the predictions of Masa son came true. With the Pepper robot, you now have AI chat bots that are exactly like the movie Her, where people are having quote, real relationships with them in order to combat loneliness. That’s a whole rabbit hole, we have very complicated feelings. But for the base of this, it’s something that it came true. When you were going through these deals, was that something where, you would present a evaluation case, but you would also have to present this is how it makes the world happier with the companies we’re interested in investing in or did that come upstream before it got to you?

Alok Sama: Short answer is no. We didn’t have, I never thought about it, but, something like a happiness index or anything associated with an investment memo. But the thing about Masa, and this is what really got me hooked. This is a man who describes himself as a crazy guy who lives in the future. A lot of people think of investing as bits. Almost gambling. Son is not a man, you’ll find within a million mile radius of Vegas. She’s not a gambling man. I associate gambling with addictive thrill seeking behavior. That’s not him. A man who lives in the future and when you live in the future, you say tomorrow’s headlines, your assessment of risk is fundamentally different. It was often felt when I had doubts, reservations, who am I to hold him back? He backed Alibaba. Based on his vision for what e-commerce might unfold in China, based on looking at how it had evolved in the US. But I tell you, what’s even cooler? This is literally my favorite Masa Son story, and I think one that people will relate to.

I think we can all agree. We all felt that excitement when we held a smartphone and iPhone for the first time, I certainly did in my hands, which is, man, this is seriously cool. This is life changing. Now, but Masa Son, before the iPhone existed, as is talking about 2005, draws up a picture of something that looks like an iPhone and takes it to Steve Jobs and said, Steve, you’re the only one who can come up with something like this and when you do, you got to give me an exclusive for Japan. Steve tells him, you’re a crazy guy. I like you. I don’t have a product. You don’t have a phone company. What am I going to give you an exclusive for, but I like you. If I do something like this, I’ll give you an exclusive. On the back of this somewhat casual conversation, handshake, no contractual obligation. He goes and spends $20 billion buying or close to 20 billion buying this company in Japan, which is just bleeding cash. It is such a dog that Vodafone, which owned the company actually lends Masa money to take it off its hands. Steve Jobs comes up with the iPhone in early 2007, and gives Masa the exclusive, because he always saw this smartphones, he builds this company around marketing data oriented network, selling smartphones to the Japanese, and ends up on a mark to market basis when the company went public, making $40 billion. It’s a monumental number. Hundred billion mark to market on Arm, 75 billion on Alibaba, 40 billion on SoftBank, Japan, the mobile company. These are spectacular successes.

Ricky Mulvey: When you meet him through your friend, it was Nikesh. Where you met Masa Son and you said, I made Masa feel I understood his brand of genius. I’ll quote.” As a banker you have to make a lot of really wealthy people feel smart and understood”. This is that game at the highest level. How do you do that?

Alok Sama: I talk a little bit about that. I think my experience with CEOs is they like to talk about their business, their vision, and they don’t like being sold to. When you start reading from a pitch book, and you get into salesy mode, you denigrate yourself a little bit. My approach was always to look them in the eye, and as if I’m having a cup of coffee with them, having a drink with them, and let them talk and hopefully try and respond intelligently to what they say. You get up rapper going, and they come away saying that, OK, this is a guy I can relate to. He gets me, and when they have an idea or a problem they want to solve, hopefully they call you.

Ricky Mulvey: With Masa, you don’t need to convince him that, you’re also a crazy guy. Like he’s not looking for that? He’s not looking for a little bit of crazy.

Alok Sama: Well, look. One of the pivotal chapters in the book is I talked about this idea of hunters and cooks. Son Sann tells me that, you need to be more of a hunter. You’re basically suggesting I was a cook. Sorry, Wait.

Ricky Mulvey: You’re Michelin Cook.

Alok Sama: Well, that was a Michelin star chef man. That’s what I was fishing for, because I was good at what I did, which is getting deals done. No, but honestly, my role there, and I think that’s true for a lot of people around Son Sann is they tend to be facilitators facilitating his vision because the quality he has, living in the future, vision, as a futurist as a technologist, is just not something you can replicate. I did not have that. That is part of why people often ask me, you’re cynical about Silicon Valley, you’re cynical about Wall Street, which you seem to put Masa Son on a pedestal. That’s the reason. He had this quality that completely eludes me. When he tells me that you’re not enough of a hunter. I get where he’s coming from. I don’t see what he does. I don’t see risk the way he sees it.

Ricky Mulvey: One of the central themes of your book is the idea of power, and how there are people who you have an immense amount of power you’re flying on private jets. You’re moving in billions of dollars. Then there’s also times within your interactions with Masa Son, where you appear almost, like, more powerless. I would say one of those is within the WeWork deal where Softbank goes on to invest tens of billions of dollars in WeWork. You seem to be in the spot where you’re like, this person is a silver tongued Adam Neumann, like a silver-tongued snake oil salesperson. Feel free to disagree with my assessment. I see a shake of the head.

Alok Sama: Wow, two things. I talk about power, but not to be overly philosophical about this, but I talk about power being an illusion. In the epilogue, book starts with a dramatic scene where I’m at Claridges Hotel in Mayfair in London with two most agents, if you can believe. They tell me I have power because I control billiger dollars, and my feedback to them is power. That’s an illusion. I can barely control my own bladder. It gets philosophical when I lose both my parents, my dog within a very short period of time. It just brings home that the notion that you control anything in your life is a bit of an illusion. That’s a bit of a philosophical as opposed to an investment point. In the context of WeWork, look, it’s Adam Neumann it’s a cool fun story. He’s been a movie made about it. It’s a fun movie. I enjoyed it. Jared Leto does a great job. Son, he acknowledged it himself. I think his exact words were. He said that I blame myself even more than Adam Neumann. That’s the nature of the VC game. You’re not gonna get everything. You just got to keep in mind that he might have lost $10 billion on WeWork, which is monumental by any standards, but he also made 100 billion on Arm. I take that trade any day.

Ricky Mulvey: Well, I’m going to stand on the philosophical point for a sec, because I think it’s interesting where you put that. There’s multiple definitions of power, and we almost need different words for it. There’s the idea that you cannot control almost the acts of uncontrollable natural forces, sickness, that thing. We have that word for power, but then we also have the ability to make people do things. That is also combined by power and when billions of dollars is being put into WeWork, when billions of dollars is being put into chip companies, there’s a business model that you’re also a part of that has led to things like people getting free Uber rides. That I’ve been on the downstream of SoftBanks actions in the market. That is an intense form of power, man. That’s also very real. It’s different from the other thing you’re describing.

Alok Sama: Look, that’s fair. I think the impact that SoftBank had on the investment landscape in the Valley is profound. I talk the book about how Sequoia, which is King of the Hill in the Valley. That’s Google, you name it. Every major technology success story they’ve been behind. I’m a bit of a golf nut and I described the meeting with Doug Leone, who’s the managing partner, Sequoia. His reaction using a golfing metaphor. I go back to Bobby Jones, arguably the greatest of all times when he sees Jack Nicklaus play and his reaction is, he plays a game with which I’m not familiar. What Masa did with the vision Fund did was a game changer and just to be very specific, Sequoia, billion dollar funds were rare in the value. Sequoia was probably the biggest one. I think that fund was two billion. The next fund turned out to be eight billion.

Everyone felt they needed a bigger boat. That when that $100 billion fund came along. I think the total volume of VC investing in the previous year was 70 billion. This was monumental. We talked about OpenAI toward the beginning of that discussion. It’s these large mega-cap technology funds, venture slash growth funds, with a ton of liquidity and that’s a little bit of what you’re saying. They need to deploy a lot of money in the new thing. You still saying that. A little bit of that is the SoftBank effect. A little bit of that is also this weird notion we had of modern monetary theory and printing money. It’s a combination of factors.

Ricky Mulvey: Sequoia, the relationship with them wasn’t always rosy. They were upset at SoftBank because of essentially the valuations and the money that the investment fund was putting in to smaller companies to which they were also invested, which on the surface, you would think, great, more money going into an investment I own, the valuations getting larger. I’m making a lot of money off of this, but that wasn’t the case always with Sequoia.

Alok Sama: No. I think their objection to be fair was, again, it comes back to the notion of power and control. The conventional VC approach is you sit on the board and you drift feed capital. Like you’re talking about tens of millions at the time, I gave you a certain benchmarks, I evaluate you against that, you hit your goals, I’ll give you no money, so on so forth. I very tightly controlled allocation capital. Nothing wrong with that. It serve people like Sequoia brilliantly. Masa’s view is, I used the expression.

He treated founders, the way they want to be treated by an investor, which is I love you, man. It is I give the example of Radesh, which is what came up in the context of Sequoia. Radesh got married, Masa flew from Japan to India to attend the guys’ marriage. It’s that personal level of engagement that belief in an entrepreneur. I believe in you, I back you, whatever capital you need. I’m behind you. I think that’s a little bit of what the VCs were struggling with. That’s one of the things that’s very different about how Masa approach to investing.

Ricky Mulvey: One of the things you write about, let’s talk about selling. This is something a lot of our listeners think about, especially, we’re heavy into a mega trend. We’re back into a bull market. You right, “While Masa had an impressive track record investing ahead of technology mega trends, he frequently held on to long.” We’ll start with what led you to that conclusion, and then I’ll ask you what you learned from it. Why do you think Masa held on too long? Because frequently we hear the reverse that investors are too tradery, and they sell too much, and that hurts them.

Alok Sama: I think let’s look at that comment was made at probably halfway through the book and just based on the observation, that South Banks Yahoo stake, Yahoo was king of the hell. Some of us who we are old enough to remember, like late ’90s, 2000, it was the portal to the web. His stake in Yahoo at its peak was 30 billion. He ended up selling it at seven billion. I think the same thing turned out to be true with Alibaba. I think on a mark to market basis at one point, Masa that stake would have been worth, I want to say 200 billion or something very close to that. At its peak, he ended up liquidating it at 75 billion. Now, it is still a spectacular success story, or those are still spectacular success stories. But obviously, had he sold off at a different time, he would have made a lot more, which would suggest that, he’s not a great trader, but man that’s a completely different skill set. That’s what prompted that remark.

Ricky Mulvey: The other side of this though is Nvidia. When SoftBank didn’t have an investment, and, it’s better to have loved than who have never loved at all. But what led to the sale in Nvidia? Because this is what happened to the fact.

Alok Sama: That’s a great question. I think we can learn something from that. First of all, two things about Nvidia. Early 2017, Masa wanted to buy the company Nvidia. With a controlled premium, we could have bought the company for $80 billion. Could have been a history, it’s worth over two trillion now. We all know that. CFIs, which is the Committee for Foreign Investment to the United States, there is no way, the US government would have CFIs. Acting through CFIs would have allowed a deal like that, foreign ownership of something as strategic to AIs and Nvidia, so that was off the table. What Masa ended up doing is buying in the fund. When you buy on your own balance sheet, if you’ve actually bought a company, the way he did on, with the intention of holding on, making some operational changes, as opposed to buying on a leverage basis in a fund with this pressure to recycle fund to investors, your mindset changes a little bit, and that’s what happened with Nvidia in the fund, which is, he on a leverage basis, made a brilliant return. But if he’d held on, that that 4x, 5x could have been 20x.

Ricky Mulvey: Some of that, did that have to do with the funds deal where it was paying out, what was it like a 7% dividend to all of its holders through out which is uncommon for a tech when we think of high tech investments, you’re going for those big home runs. You’re not going for these steady dividend payments.

Alok Sama: The division fund was completely unique, in as much as there was a layer of leverage provided by the limited partners. That was part of the fund. The investors, the limited partners, mainly the Middle Eastern investors out of Saudi Arabia and the United Arab Emirates, they also provided capital in the form of mezzanine, which paid a cash dividend 7%. The fund had to pay them cash, and that created pressure to realize liquidity and that again, is at least a small part of the explanation, that when you have an opportunity to liquidate something, you try and do it.

Ricky Mulvey: You told the story earlier of the dinner you had where you were described as a cook and not a hunter. Your job changed dramatically at SoftBank, around 2019. You went from president and CFO to senior advisor. When did you feel your job really changing? That we talked about power as a nebulous thing. When did you feel your power softening and feeling almost sideline moved out of one of the top seats there?

Alok Sama: I think that happened earlier. When I left and became a senior advisor, I was basically out. That’s the way I wanted it, and that’s the way we negotiated. Someone wanted me out of the vision fund. When I was shut out of the vision fund, even though there was some very interesting stuff that was going on outside of the vision fund, for example, SoftBank owned Sprint and I let the merger of Sprint with T mobile. There was a lot to do outside of the vision fund, but I was excluded from the vision fund, and at the time, SoftBank focus was very much on the vision fund. That was an element, I think it’s fair to say of being if not sideline, certainly being one step removed from where the real action was. That’s where it started to happen in terms of the drift.

Ricky Mulvey: Did a two part question, then I went down a digression, I’m going to get back to the two part question now that I remember it. What did you learn about when to sell from your experience at SoftBank? How does that affect you as an investor now?

Alok Sama: My personal philosophy is, that whole line about, bulls make money, bears make money, pigs get slaughtered. My personal view of the world is, man, if I run into a situation where I’ve doubled my money or tripled my money or whatever, I’m out of there. I tend not to get too greedy. But that’s not in the world of technology, that is most certainly not the right answer. Because if you’ve got a winner in the world of technology, you need to be thinking, not just 10x, but, like, potentially a 100x. Like Masa Son, you look at the Alibaba success story, that’s like, 40 million, eventually, 75 billion realized. Now, it would be really unfair to criticize him for not realizing 200 billion because it is arguably the most spectacular investment all time. My mindset is a little bit conservative because, I’m particularly at my stage in life. I’m thinking in terms of my nest egg for retirement. But if you want to be a successful technology investor, you’ve got to think in terms of really backing your winners. You’re seeing that with the funds. Sequoia started this is frequently because of the venture funds. Because of pressure to recycle capital, they were getting out too early, they created a separate fund where you could hang on much much longer. It’s like, Google computer next google. You bought Google at IPO, it’d be a spectacular investment.

Ricky Mulvey: The money trap lost illusions inside the tech bubble. I want to mention this to listeners. You didn’t get a ghost writer for this. It is beautifully, right?

Alok Sama: What? No. Quite the contrary, I did not set off to write this book, but I wanted to be a writer, and I spent two-and-a-half years in graduate school. I got an MFA at New York University. Just in experimenting, like all students do, was like, I was writing and throwing stuff up on the wall and see what’s Dick’s thing. That’s how this book came about. It’s been a real labor of love for me.

Ricky Mulvey: It’s a lyrical, it’s beautifully written. I really enjoyed the stories in it. I learned some stuff for my investing brain. I think our listeners will get a lot out of it. There’s a lot of big business people when they write a memoir, sometimes it’s a history written things that’s given off to a ghost writer. Your book is the complete opposite of that. It’s thoughtful, it’s warm, it’s personal. I really enjoyed it, and I’m grateful for the time and insight.

Alok Sama: Thanks, Wicky.

Mary Long: As always, people on the program may have interest in the stocks they talk about, and the Motley Fool may have formal recommendations for or against, so don’t buy yourself stocks based solely on what you hear. I’m Mary Long. Thanks for listening. We’ll see on Monday Fools.

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ChatGPT acaba de obtener una gran actualización de generación de imágenes

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Sí, esto es AI.

Crédito: OpenAI


Operai ha aumentado significativamente las capacidades de generación de imágenes de ChatGPT, agregando la actualización como parte del modelo GPT-4O introducido en mayo pasado. El nuevo y mejorado generador de IA se está implementando ahora para todos los usuarios de ChatGPT, en todos los planes pagos y el nivel gratuito (aunque los usuarios gratuitos están más restringidos en cuánto pueden usarlo).

Ha sido posible generar imágenes a través de la interfaz CHATGPT durante un tiempo, aunque detrás de escena el trabajo fue cultivado en el modelo de imagen Dall-E 3. Ahora, todo será manejado por GPT-4O, para una experiencia más consistente y nativa.

Aquí hay muchas mejoras, que cubren algunas de las áreas con las que las herramientas de creador de imágenes de IA generalmente han luchado: representar texto, mantener a los personajes consistentes en las imágenes y los diagramas de dibujo. Operai dice que ahora puede esperar “más preciso, preciso, [and] Resultados fotorrealistas “de sus indicaciones.

Imágenes más realistas y precisas

Las imágenes generadas no son perfectas cada vez, pero se están acercando mucho.
Crédito: Lifehacker a través de chatgpt

Las imágenes hechas con IA a menudo vienen con un brillo artificial que te dice que han sido soñados por algoritmos, y eso debería ser menos obvio con las imágenes GPT-4O. Una de las imágenes de demostración mostradas por OpenAi tiene una mujer escribiendo en una pizarra, con una vista reflejada en ella, todo bien como por vida, aunque tenga en cuenta el pequeño subtítulo en la parte inferior que le dice que este fue el mejor de los ocho intentos que Chatgpt tenía en el aviso.

Los usuarios de arte de IA crean también deberían mantenerse más estrechamente a las indicaciones dadas, dice Openai. Entonces, si desea objetos específicos en lugares específicos, o necesita personas en ciertas posiciones, entonces estas instrucciones aparentemente se llevarán a cabo de manera más fiel. Una de las imágenes de ejemplo más impresionantes muestra una tira cómica de cuatro paneles representada por ChatGPT, sin errores o inconsistencias obvias.

Traté de hacer que Chatgpt convirtiera una novela de Austen en una tira cómica y produzca una imagen fotorrealista de una casa majestuosa con un jardín, y los resultados fueron impresionantes, si no es perfecto. Ciertamente son significativamente mejores de lo que el chatgpt de imágenes estaba produciendo anteriormente, aunque la representación lleva más tiempo completarse (generalmente minutos en lugar de segundos).

El texto y los diagramas se mejoran enormemente

Libro de Christie

El texto ya no es un problema importante, por lo que se pueden hacer portadas de libros falsos con facilidad.
Crédito: Lifehacker a través de chatgpt

Tratar de lograr que la IA represente el texto y los diagramas con precisión ha sido un desafío durante mucho tiempo: la forma en que se construyen estas herramientas significa que son mucho mejores para inventar y remezclar las imágenes en las que han sido entrenadas, en lugar de reproducir una copia exacta del alfabeto o una serie de rectángulos y flechas.

El nuevo modelo GPT-4O puede hacer que el texto y los diagramas a un alto nivel de detalle y precisión, por lo que no debe ver tantos errores e inconsistencias extrañas. El showreel de OpenAI incluyó un menú, una invitación, un pase de embarque y un diagrama que explica el experimento de prisma de Newton, todo generado a partir de un solo mensaje de texto.

Cuando le pedí a ChatGPT que produjera una infografía que explicara el ADN en términos simples, y una portada del libro con un título y autor especificados, siguió el resumen exactamente: el gráfico era básico pero preciso (según el mensaje), y la portada del libro parecía algo que podría ver en una tienda. Igual de importante, no había artefactos extraños o inconsistencias en las imágenes.

Consistencia y edición

Imágenes del profesor

Profesor, ¿eres tú? La consistencia de carácter e imagen todavía necesita algo de trabajo.
Crédito: Lifehacker a través de chatgpt

He escrito antes sobre las limitaciones de la edición de imágenes de ChatGPT, y esta es otra área que se ha actualizado. Ahora es más fácil mantener a los personajes y escenas consistentes entre las imágenes, solo ajustar partes de una imagen y dejar el resto intacta, y construir diferentes capas de una imagen. Incluso puede crear fondos transparentes, si es necesario, o especificar colores utilizando códigos hexadecimales.

¿Qué piensas hasta ahora?

Otras mejoras entran en la forma en que ChatGPT puede aceptar y remezcar sus propias imágenes, e incorporar otra información (de la web y sus datos de capacitación): por lo tanto, una de las imágenes de demostración Operai se construyó a partir de la pronta. “Haga una infografía visual que describa por qué SF está tan nebulosa” y ChatGPT hizo exactamente eso (bueno, mejor tres).

En mis propias pruebas, encontré chatgpt mucho mejor en la edición de imágenes y bastante competente en la remezcla de imágenes en diferentes estilos. Todavía lucha hasta cierto punto manteniendo la consistencia entre las imágenes, especialmente con objetos y caracteres complejos. Definitivamente es mejor de lo que fue en esto, pero todavía hay una tendencia a exagerar las ediciones, haciendo que la IA sea menos útil para ajustar imágenes o hacer una serie de varias imágenes que necesitan coincidir.

Experimento de Newton

Los diagramas ahora son mucho menos sin sentido y más precisos.
Crédito: OpenAI

Al igual que con cualquier anuncio generativo de IA, los problemas sobre los derechos de autor, el mal uso y las demandas de energía se me recuerdan una vez más. Operai está registrado diciendo que es imposible construir estas herramientas sin capacitar en imágenes con derechos de autor, aunque recientemente ha comenzado a firmar ofertas de contenido con proveedores como Shutterstock. Brad Lightcap, director de operaciones de OpenAi, le dijo al Wall Street Journal que el generador de imágenes GPT-4O rechazará las solicitudes para imitar el trabajo de cualquier artista vivo.

Cuando se trata de seguridad, Operai dice que las imágenes generadas vienen con metadatos C2PA para identificarlas como generadas por IA, aunque estos metadatos se pueden eliminar fácilmente con algo tan simple como una captura de pantalla. El generador de IA también está construido para rechazar cualquier intento de crear “materiales de abuso sexual infantil y defectos sexuales”, dice OpenAi, así como otras indicaciones que violan sus políticas de contenido.

Este es claramente un gran paso adelante para las imágenes de IA: la tecnología actualizada es realmente asombrosa a veces, y muchos de los signos reveladores de IA y los errores cometidos por la tecnología están desapareciendo. Sin embargo, plantea algunas preguntas importantes sobre el futuro, todos corremos, uno en el que las falsificaciones se realizan tan fácilmente, donde los robots realizan el trabajo creativo en lugar de las personas, y donde perdemos colectivamente nuestra capacidad de dibujar una imagen, crear una oración o escribir una línea de código. Y luego, ¿cómo encontrará la IA generativa más datos de entrenamiento?

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Google presenta Gemini 2.5 Pro con razonamiento de cadena de pensamiento incorporado

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Google LLC dijo hoy que está actualizando su Familia de Modelo de Inteligencia Artificial de Géminis insignia al presentar una versión experimental de Gemini 2.5 Pro.

La compañía agregó que es la “más inteligente” hasta ahora e incluirá capacidades de “pensamiento” incorporadas. Todos los próximos modelos Gemini 2.5 serán modelos, capaces de desglosar tareas en múltiples pasos y razonar a través de ellos antes de responder. La compañía dijo que esto dará como resultado un mejor rendimiento y una mayor precisión.

“En el campo de la IA, la capacidad de un” razonamiento “de un sistema se refiere a algo más que clasificación y predicción”, explicó Koray Kavukcuoglu, director de tecnología de Google Deepmind, el brazo de investigación de la compañía, explicó en el anuncio. “Se refiere a su capacidad para analizar información, sacar conclusiones lógicas, incorporar contexto y matices, y tomar decisiones informadas”.

Google introdujo por primera vez esta capacidad de pensamiento en su modelo de IA Experimental Gemini 2.0 Flash Thinking, que se lanzó en diciembre. Para crear el modelo, la compañía exploró las prácticas de construcción de IA, que incluyen el aprendizaje de refuerzo y la solicitud de la cadena de pensamiento.

En el caso de Gemini 2.0 Flash Thinking, los usuarios pueden activar la capacidad de pensamiento haciendo clic en un botón al solicitar el modelo y luego “pensaría” a través de las tareas. También muestra su razonamiento, lo que permite al usuario ver el proceso y la cadena de pensamiento que llevó llegar a su conclusión.

Google ya no agrega la etiqueta de “pensar” a sus modelos.

La compañía dijo que con la nueva capacidad de razonamiento, Gemini 2.5 Pro Experimental ha logrado un nuevo nivel de rendimiento por encima del modelo base debido al post-entrenamiento. Es el modelo más avanzado para tareas complejas y superó la tabla de clasificación de Lmarena, que mide las preferencias humanas, por un margen significativo.

También lideró con un 18.8% en el último examen de la humanidad, un conjunto de datos diseñado por cientos de expertos en la materia sobre el conocimiento y el razonamiento humano, en comparación con el 14% para el O3-Mini de OpenAI y el 8.6% de Deepseek R1. Para el contexto, O3-Mini y R1 son modelos pensantes capaces de razonamiento complejo de la misma manera que Google ha diseñado Gemini 2.5 Pro Experimental.

“Nos hemos centrado en el rendimiento de la codificación, y con Gemini 2.5 hemos logrado un gran salto sobre 2.0, con más mejoras por venir”, dijo Kavukcuoglu.

https://www.youtube.com/watch?v=rlcbspgos6s

Para demostrar las nuevas capacidades del modelo, los investigadores de Google lo llevaron a generar un videojuego de dinosaurio de estilo sin fin utilizando HTML, CSS y JavaScript utilizando un solo mensaje y lo hizo con éxito en un solo pase.

El modelo experimental de Gemini 2.5 Pro viene con una ventana de contexto de 1 millón de tokens, lo que le permite ingerir documentos, audio y videos extremadamente grandes, que son alrededor de 1,5 millones de palabras. Google dijo que tiene la intención de expandir la ventana a 2 millones.

Con su gran ventana de contexto y su alto rendimiento, Gemini 2.5 Pro proporciona una base poderosa para los agentes de IA. Esto les permite procesar vastas conjuntos de datos y abordar problemas complejos de manera más efectiva. Debido a que los agentes de IA operan y planean de forma autónoma, la capacidad de razonamiento mejorada del modelo mejorará significativamente su capacidad para comprender los datos y utilizar herramientas para completar las tareas.

Los desarrolladores y los usuarios empresariales pueden comenzar a experimentar con Gemini 2.5 Pro en Google AI Studio ahora, y los usuarios avanzados de Gemini pueden seleccionarlo inmediatamente desde el descenso en el escritorio y el móvil. Los usuarios de Vertex AI, la plataforma de aprendizaje automático administrado de Google para construir e implementar IA, podrán experimentar con el nuevo modelo en las próximas semanas.

TXGEMMA: modelos de IA abiertos para mejorar el desarrollo terapéutico

Además del experimental Gemini 2.5 Pro, Google también anunció TXGEMMA, una colección de modelos de IA abiertos diseñados para mejorar la eficiencia del desarrollo de fármacos y terapia utilizando modelos de idiomas grandes.

Los nuevos modelos se basan en Gemma, los modelos livianos de código abierto existentes de Google Deepmind, específicamente entrenados para comprender y predecir las propiedades de los medicamentos y las terapias génicas a lo largo de todo el proceso de descubrimiento. Esto incluye identificar entradas prometedoras y predecir resultados de ensayos clínicos.

Google entrenó a la familia de modelos de TXGEMMA de Gemma 2 utilizando 7 millones de ejemplos de entrenamiento. Los modelos vienen en tres tamaños, incluidos 2 mil millones, 9 mil millones y 27 mil millones de parámetros.

Cada tamaño incluye una versión de “predicción”, adaptada para tareas estrechas extraídas de los comunes de datos terapéuticos. Los ejemplos de estas tareas específicas incluyen clasificar los medicamentos para la capacidad, como el cruce de la barrera hematoencefálica, la regresión para predecir la capacidad de unión de un fármaco o generar otros tipos de fármacos basados ​​en una reacción particular.

TXGEMMA 9B y 27B también incluyen versiones de “CHAT”. Estos modelos explican su razonamiento, responden preguntas y entablan una conversación. Como resultado, los investigadores podrían preguntarle a Txgemma-Chat por qué predijo que una molécula particular podría ser tóxica y profundizar en la estructura de la molécula.

Al igual que cualquier otro modelo que Google construya, TXGEMMA está diseñado para la integración en sistemas de IA agente avanzados e incluye el uso de herramientas para abordar problemas de investigación más complejos.

“Los modelos de lenguaje estándar a menudo luchan con tareas que requieren conocimiento externo actualizado o razonamiento de varios pasos”, Shekofeh Azizi, científico de investigación del personal de Google. “Para abordar esto, hemos desarrollado Agentic-TX, un sistema de agente centrado en la terapéutica impulsado por Gemini 2.0 Pro”.

Agentic-TX está equipado con 18 herramientas que incluyen TXGEMMA para razonamiento de varios pasos; Herramientas de búsqueda generales de PubMed, Wikipedia y la Web; herramientas moleculares específicas; y herramientas de genes y proteínas. Esta herramienta de agente de IA puede usarse para orquestar el trabajo de diseño de investigación terapéutica y responder preguntas de investigación de varios pasos para científicos y médicos.

TXGEMMA está disponible hoy en Vertex AI Model Garden y abrazando la cara.

Imagen: Google

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6 indicaciones de chatgpt para adolescentes listos para escalar su negocio

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Muchos empresarios adolescentes logran lanzar sus pequeñas empresas, pero luchan con el siguiente paso: expandir sus operaciones. Atrapado entre el trabajo escolar, la práctica deportiva y los compromisos familiares, estos jóvenes dueños de negocios necesitan estrategias de crecimiento eficientes para las nuevas empresas adolescentes.

La investigación de Junior Achievement muestra que el interés adolescente en el emprendimiento sigue siendo fuerte, con alrededor de dos tercios de los adolescentes que expresan interés en iniciar negocios. Sin embargo, existe una brecha entre lanzar y escalar una empresa comercial adolescente.

Pasar de la startup a la fase de crecimiento exige un nuevo conjunto de herramientas para los dueños de negocios adolescentes. ChatGPT puede ofrecer estrategias de escala de negocios adolescentes que de otro modo costarían cientos en tarifas de consultoría. Estas seis indicaciones de ChatGPT ayudan a los empresarios adolescentes a crear planes de crecimiento y expansión de negocios concretos.

Desde el lanzamiento hasta la escala: un desafío diferente para el crecimiento empresarial adolescente

Los empresarios adolescentes deben cambiar su pensamiento al pasar del lanzamiento a la fase de crecimiento de su pequeña empresa. Necesitan pasar de crear un producto o servicio a sistemas de construcción que respalden más clientes y un mayor volumen para el crecimiento de los negocios adolescentes sostenibles.

Los empresarios adolescentes a menudo comienzan en industrias que necesitan una inversión inicial mínima y utilizan sus habilidades existentes. Las ideas de negocios adolescentes más populares incluyen industrias de servicios (tutoría, sesión de mascotas, cuidado del césped), campos creativos (arte, música, diseño), servicios digitales (gestión de redes sociales, creación de contenido) y comercio electrónico (productos hechos a mano, arbitraje minorista).

Los obstáculos comunes para los negocios adolescentes en crecimiento incluyen:

  • Restricciones de tiempo entre el trabajo escolar y las operaciones comerciales
  • Aumento de la complejidad que requiere nuevas habilidades comerciales
  • Sobrecarga de decisiones al enfrentar múltiples rutas de crecimiento para estudiantes empresarios

ChatGPT puede optimizar estos desafíos con las preguntas correctas. Aquí hay seis indicaciones diseñadas para escalar empresas adolescentes y nuevas empresas.

1. El planificador de crecimiento estratégico

“Soy un emprendedor adolescente con [describe business] que ha estado operando para [time period]. Mis ingresos mensuales son aproximadamente [amount]y tengo [number] de clientes. Quiero escalar mi negocio pero necesito priorizar mi tiempo y recursos limitados. Cree un plan de crecimiento de 90 días que incluya: 1) áreas de alto impacto para centrarse en las métricas de crecimiento específicas para rastrear, 3) una línea de tiempo de semana a semana y 4) señales de advertencia que indican que necesito ajustar mi estrategia “.

Cómo usarlo: Teen podría ingresar detalles sobre su negocio de pegatinas personalizadas, que ha estado operando durante 6 meses con ingresos mensuales de $ 400 y 30 clientes regulares. Este aviso ayuda al adolescente a centrarse en lo que hace que el negocio avance. Al usar la respuesta, implementa una recomendación a la vez.

2. La primera toma de decisiones de alquiler

“Colojo un adolescente [type of business]y estoy considerando hacer mi primera contratación. Mis ingresos mensuales son [amount]y mi ganancia es [amount]. Gastando [number] horas semanales en [list 3-5 main tasks]. Cree un análisis de 1) si debo contratar ahora o esperar hasta alcanzar hitos financieros específicos, 2) qué posición agregaría el mayor valor, 3) cómo calcular lo que puedo pagar, 4) responsabilidades mínimas que esta persona debe manejar, y 5) preguntas de entrevista adaptadas para trabajar con un propietario de un negocio adolescente “.

Cómo usarlo: Teen podría usar este aviso para su negocio de cuidado del césped con un ingreso mensual de $ 1,200, ganancias de $ 800 y 15 horas semanales dedicadas a cortar, recortar, comunicación del cliente y programación. Esté atento a estas señales de advertencia que está contratando demasiado pronto: los márgenes de ganancias no respaldan los costos laborales adicionales, los procesos comerciales carecen de documentación o no ha identificado tareas que generen ingresos directamente.

3. El especialista en retención de clientes

“Cuando era emprendedor adolescente con [number] clientes actuales para mi [type of business]Quiero mejorar la retención de los clientes. Mi negocio sirve [brief description of target audience]. La tasa de retención de mi cliente es aproximadamente [percentage or description if unknown]. Genere: 1) Un mapa de viaje del cliente que destaca los posibles puntos de entrega, 2) tres estrategias de retención asequible con pasos de implementación, 3) plantillas para comunicaciones de seguimiento y 4) un sistema simple para rastrear la efectividad de estos esfuerzos “.

Cómo usarlo: Teen podría preguntar sobre su servicio de tutoría de matemáticas, que tiene 25 clientes actuales que atienden a estudiantes de secundaria que luchan con el pre-álgebra y una tasa de retención de aproximadamente el 50% después del primer mes. Centrarse en la retención generalmente cuesta 5-25 veces menos que adquirir nuevos clientes, lo que lo hace ideal para empresas adolescentes con recursos limitados.

4. El optimizador del canal de marketing

“Soy dueño de un negocio adolescente que dirige un [type of business] dirigido a [ideal customer]. He estado comercializando a través de [list current channels]. Mi presupuesto mensual de marketing es [amount]y el costo de adquisición de mi cliente es aproximadamente [amount if known]. Ayúdame a optimizar mi marketing mediante 1) evaluar qué canales probablemente ofrecen el mejor ROI para mi negocio, 2) crear una plantilla de calendario de contenido para mis 2 canales recomendados principales, 3) desarrollar cinco ganchos o titulares para mi público objetivo, y 4) sugerir un marco de prueba A/B simple para mejorar la efectividad de marketing “.

Cómo usarlo: Teen podría describir su tienda de casos telefónicos personalizados dirigidos a estudiantes de secundaria, comercializado a través de Instagram, Tiktok y el boca a boca con un presupuesto mensual de $ 50. Implemente las recomendaciones del calendario de contenido, pero pruebe nuevos canales con pequeñas inversiones antes de cometer recursos. La mayoría de las empresas adolescentes ven los mejores resultados de las plataformas 1-2.

5. El estratega de precios

“Soy un emprendedor adolescente vendiendo [product/service] en [current price point]. Mis costos principales son [list main costs]y mis clientes objetivo son

Discover how teen entrepreneurs can scale their small businesses efficiently with these 6 powerful ChatGPT prompts designed specifically for student startups.

. Estoy considerando ajustar mis precios a medida que escala. Proporcione: 1) Un análisis de diferentes modelos de precios que podría considerar, 2) cómo calcular los puntos de precio óptimos según mis costos y el mercado, 3) lenguaje para comunicar los cambios de precios a los clientes existentes y 4) formas de probar nuevos precios con un riesgo mínimo “.

Cómo usarlo: Teen podría preguntar sobre sus sesiones de fotografía con un precio de $ 75 por hora con costos que incluyen equipos, edición de la suscripción del software y transporte, dirigidos a familias y estudiantes de último año de secundaria. Al probar nuevos precios, considere ofrecer nuevos precios solo a nuevos clientes inicialmente, crear niveles premium y agrupar valor adicional con aumentos de precios.

6. El implementador de automatización

“Cuando era adolescente corriendo un creciente [type of business]Estoy pasando demasiado tiempo [list repetitive tasks]. Tengo aproximadamente [number] horas semanales para trabajar en mi negocio en torno a los compromisos escolares. Tengo habilidades de tecnología básica y un presupuesto mensual de aproximadamente [amount] para herramientas. Cree un plan para automatizar o optimizar mi flujo de trabajo, incluidas 1) tareas específicas para automatizar primero, 2) instrucciones paso a paso para implementar cada automatización, 3) herramientas asequibles adecuadas para mi situación y 4) cómo medir los ahorros de tiempo “.

Cómo usarlo: Teen podría ingresar detalles sobre su negocio de gestión de redes sociales, pasar demasiado tiempo en programar publicaciones, enviar facturas y hacer un seguimiento con los clientes, con aproximadamente 10 horas semanales disponibles en la escuela. Las áreas más valiosas para los adolescentes para automatizar incluyen la programación de las redes sociales, los seguimientos de correo electrónico, la reserva de citas y la contabilidad básica.

Convertir los planes de crecimiento en realidad para el éxito empresarial adolescente

Escalar un negocio adolescente requiere una planificación cuidadosa y una acción decisiva. Si bien estas indicaciones de chatGPT proporcionan marcos valiosos para los emprendedores adolescentes, su efectividad depende de la implementación.

La investigación muestra que los emprendedores adolescentes exitosos trabajan en industrias con bajas barreras de entrada, incluidos los negocios de servicios (cuidado de niños, cuidado del césped, tutoría), empresas creativas (enseñanza de arte, lecciones de música), servicios digitales (diseño gráfico, gestión de redes sociales) y minorista (productos hechos a mano, revelación en línea). Estos sectores permiten un crecimiento sin una gran inversión de capital para los dueños de negocios de secundaria.

Para los empresarios adolescentes que buscan maximizar estas herramientas de IA para el crecimiento empresarial:

Establecer sesiones de implementación semanales. Programe tiempos específicos para trabajar en iniciativas de crecimiento de sus planes generados por IA para su negocio estudiantil. Incluso 30 minutos dos veces por semana puede impulsar un progreso sustancial cuando se enfoca en las actividades comerciales adolescentes adecuadas.

Seguimiento de cambios cuantitativamente. Antes de hacer cambios sugeridos por estas indicaciones, documente sus métricas de referencia: ingresos, recuento de clientes y tiempo dedicado a varias tareas. Esto crea responsabilidad y ayuda a evaluar qué estrategias de crecimiento empresarial funcionan.

Crear una junta asesora. Invite a 2-3 adultos de confianza con experiencia comercial relevante para revisar los planes de crecimiento empresarial adolescente trimestralmente. Pueden detectar problemas potenciales y conectarlo con recursos valiosos.

Expansión de equilibrio con sostenibilidad. El crecimiento que compromete el trabajo escolar o el bienestar personal conduce a problemas. Los emprendedores adolescentes más exitosos mantienen el rendimiento académico mientras construyen sus negocios.

A medida que su negocio adolescente crece, revise estas indicaciones de chatgpt cada pocos meses con información actualizada. Cada fase de escala presenta nuevos desafíos, pero con los enfoques sistemáticos, los jóvenes empresarios pueden construir empresas que crean un impacto significativo mucho más allá de la escuela secundaria.

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