{"id":17854,"date":"2026-02-05T15:05:48","date_gmt":"2026-02-05T15:05:48","guid":{"rendered":"https:\/\/topat10.com\/?p=17854"},"modified":"2026-02-05T15:05:48","modified_gmt":"2026-02-05T15:05:48","slug":"michael-lewis-reveals-hes-got-a-deal-to-write-the-sam-altman-book-when-chatgpt-is-ready-to-write-a-rival-draft","status":"publish","type":"post","link":"https:\/\/topat10.com\/?p=17854","title":{"rendered":"Michael Lewis reveals he\u2019s got a deal to write the Sam Altman book\u2014when ChatGPT is ready to write a rival draft"},"content":{"rendered":"\n

Michael Lewis, the charismatic and quotable author behind The Big Short<\/em> and Moneyball<\/em>, to name just a few of his bestselling non-fiction works, has a new book deal in the works\u2014but this one comes with a sci-fi twist. Speaking at a live recording of SoFi\u2019s The Important Part<\/em> podcast in New York City, Lewis revealed that he has a verbal agreement with Sam Altman to write a biography of the OpenAI leader, but only when ChatGPT is capable of writing a competing draft. The anecdote has been partially told before<\/a>, but never at this level of detail, with the prospect of the legendary writer making Sam Altman the latest member of his cast of protagonists.<\/p>\n

\n

As The New York Times <\/em>wrote in its review of Going Infinite<\/em>, Lewis\u2019 book about disgraced crypto founder Sam Bankman-Fried, the writer always \u201cmakes sure to give you an unsung hero to root for.\u201d Hollywood has often found this a winning recipe for film adaptation. The renegade baseball general manager<\/a> in Moneyball, for instance, was later played by Brad Pitt, while the character in The Big Short was played by Christian Bale, Ryan Gosling, Steve Carell, and Pitt again, among others. \u201cEven Lewis\u2019s first book,\u00a0Liar\u2019s Poker<\/em><\/a>,\u00a0which recounts all kinds of bad behavior on Wall Street, is structured around a young man named Michael Lewis,\u201d the Times notes, with that underdog hero leaving the \u201cabsurd money game\u201d of finance to become a journalist and celebrated author.<\/p>\n

Altman, the influential and controversial Silicon Valley billionaire, transformed the economy by releasing ChatGPT and unleashing the AI revolution in November 2022. Within just a few months, he was fired by his board of directors<\/a> for losing trust in them, before rejoining over the course of one dramatic weekend<\/a>. Along the way, he was sued by his former co-founder Elon Musk<\/a> and became a lightning rod executive for the hypes and fears of the AI story. He could be a perfect Michael Lewis character, and Lewis recounted to The Important Part<\/em> how he met with Altman to discuss Bankman-Fried.<\/p>\n

The challenge<\/h2>\n

The two shared a dinner while Lewis was researching Going Infinite<\/em>, because Lewis had sought out Altman to discuss Sam Bankman-Fried, given that the FTX founder had purchased a 20% stake in OpenAI rival Anthropic using customer funds. \u201cBut it turned out he had a little bit of an agenda,\u201d Lewis told Sofi\u2019s Liz Thomas<\/a>, head of investment strategy and host of The Important Part<\/em>. \u201cAnd his agenda was he had all these people who wanted to write his biography, and he didn\u2019t really want his biography written, but he thought if he could just pick one of them, it would get everybody else off his back. So he wanted to talk to me about some of these people.\u201d <\/p>\n

Lewis, known for his skepticism regarding financial and technological hype, pushed back with a question that cuts to the core of the current artificial intelligence frenzy. \u201cI said, well, if your machine is so smart, why don\u2019t you have your machine write the biography?\u201d Lewis recalled suggesting that Altman dump all his Slack channels, emails, and personal data into the model to let it tell his story.<\/p>\n

Altman\u2019s response was surprisingly candid: \u201cHe said, it\u2019d be a really bad book.\u201d When pressed on when the AI would<\/em> be capable of such a feat, Altman estimated \u201cmaybe a couple of years.\u201d This led to a unique challenge between the author and the tech mogul.<\/p>\n

When Lewis and Altman agree, at some point in the future, that ChatGPT is finally smart enough to write a good book, Lewis said he wanted to \u201cchallenge it to a contest. I will come back in, and we will pour everything into it. We\u2019ll let it write its book, but I\u2019ll do my book alongside it. And we will just compare whose book is better.\u201d<\/p>\n

Several books about Altman and OpenAI are already in print, including Keach Hagey\u2019s The Optimist<\/a><\/em> and Karen Hao\u2019s Empire of AI<\/a><\/em>. Columbia law professor Tim Wu<\/a> reviewed both of these for The New York Times<\/em>, writing \u201cHey ChatGPT, Which One of These Is the Real Sam Altman?<\/a>\u201d The works by the two journalists offered complementary portraits of OpenAI\u2019s \u201cnotorious\u201d co-founder, he added, saying that both books suggest Altman has created a real-life version of the ethics thought experiment, the \u201cpaper clip problem.\u201d The idea is that an AI, tasked only with making as many paper clips as possible, would transform everything around it into a giant paper clip manufacturing facility. They seem like good books, in other words.<\/p>\n

Could 2026 be the turning point for AI?<\/h2>\n

There was a broader tension between Lewis and co-panelist Tom Lee, head of research at Fundstrat, discussed during the event. According to Lee, the very metrics that look like \u201cbad news\u201d are actually confirming a massive leap in economic efficiency. \u201cTechnology employment has shrunk in the last three years since the introduction of [ChatGPT],\u201d Lee observed, noting that for the first time, college graduates\u2019 unemployment rate is now higher than that of non-college students of the same age.<\/p>\n

While this contraction in the workforce is painful for workers, Lee argued that it\u2019s the textbook definition of technological success. \u201cThat\u2019s productivity for the economy. This is how you measure productivity is that you produce more output with less people,\u201d Lee said. \u201cSo that\u2019s proof that AI is productive.\u201d And so are the current swoon in markets, he added, noting the period of volatility where software stocks have been \u201cdown a ton.\u201d <\/p>\n

Lee attributed this repricing to a fundamental shift in how corporations spend money. Companies are \u201cspending less on software,\u201d creating a \u201cmargin story\u201d where \u201cagentic AI products or AI products are starting to replace traditional software\u201d\u2014even more proof of how productive AI is. Lee predicted that 2026 will mark the era where the market sees \u201cthe other side of the payoff from AI,\u201d a shift that is \u201ccreating winners and losers\u201d rather than lifting all boats indiscriminately.<\/p>\n

Lewis said he agreed that the AI boom reminds him of the dotcom bubble in some respects because of the winners-and-losers dynamic. \u201cThere\u2019ll be some things you were really happy you bought that are still going to go up. There are going to be things that come crashing down.\u201d The other big similarity, he argued, is that people are \u201cconflating the technology with corporate profits. Like, just because the technology is transformative doesn\u2019t mean that people are going to make a lot of money from it, or that everybody\u2019s going to make a lot of money from it.\u201d<\/p>\n

Will AI take your job?<\/h2>\n

For now, Lewis said he isn\u2019t sweating the competition. He admitted to testing AI during his writing of Going Infinite<\/em>, asking it to write a book about Sam Bankman-Fried to see what it could produce. The results were unimpressive. \u201cAll it knows is what\u2019s on the web \u2026 It hasn\u2019t gone out and interviewed people. It hasn\u2019t seen and smelled and tasted and all that,\u201d Lewis explained. He said he didn\u2019t see AI taking his particular job anytime soon. \u201cI don\u2019t really feel yet, honestly, a threat from AI.\u201d<\/p>\n

Lewis noted the hype from AI is extraordinary\u2014and extraordinarily disturbing. Many AI CEOs are alternating, he noted, between two doomsday predictions. \u201cThe people at Google<\/a>, the people at OpenAI, will very cheerily, at the same time, they say out of one side of their mouth that, you know, [AI] might kill us all, so we ought to be really, really careful, we need to think hard about it, but nobody seems to be doing anything about that \u2026 At the other side of their mouth, they\u2019ll say, in 18 months it\u2019ll be able to do everything a human does, but better.\u201d <\/p>\n

The second prediction is really worth taking seriously, Lewis argued. \u201cIf in 18 months it can do everything that a human can do, but better, what on earth is going to happen to this country?\u201d Lewis noted the anger that helped elect President Donald Trump, and about affordability and the economy, as a real problem that is far from resolved. \u201cWe\u2019re literally living with the politics of anger for a stretch. The anger is going to go through the roof\u201d if AI takes that many jobs in just a year-and-a-half.<\/p>\n

Lee offered a philosophical perspective, repeating some of his recent research about disruption and the odd tale of \u201cflash frozen,\u201d as Fortune<\/em> previously reported<\/a> in January. Lee told the Prof G Markets podcast in January that the third great labor shortage era in U.S. economic history began in 2018 and would last to 2035, and offered up the invention of \u201cflash-frozen\u201d foods in the 1920s<\/a> as a parallel to AI. <\/p>\n

Fundstrat research indicates that farming went from 30%-40% of the workforce before flash-frozen to 2%-5% afterward, but enough jobs were created to account for this reduction in employment. \u201cSo, like, 95% of farmers were replaced,\u201d Lee told Lewis and Thomas. \u201cThat created time and innovation, like, the economy prospered, even though an economist would have told you in 1930 that we\u2019d have another depression.\u201d <\/p>\n

There was a less successful transition in the 1990s, he added, \u201cwith China taking over manufacturing.\u201d Lee noted that it \u201cgutted\u201d entire states. \u201cPeople call it distributional consequences, but that was poorly planned because they didn\u2019t think about how to find new work for these people. So I think it is, like Michael said, pretty important to be thoughtful of the distributional consequences of what\u2019s happening.\u201d<\/p>\n

Lewis was bowled over by Lee\u2019s research, which included the revelation that an early version of Goldman Sachs was a venture investor in the invention of flash-frozen by Charles Birdseye, who studied as an ornithologist (as well as a taxidermist, fur trader, hunter, and fish lobbyist<\/a>). Lee explained that Birdseye was studying birds when he was served fish by Alaska\u2019s Inuit tribe, and wash shocked at how fresh the fish tasted, because it was flash-frozen on ice. \u201cHis name is Charles Birdseye, and he studied birds,\u201d Lewis remarked, shaking his head.<\/p>\n

Lee remarked that he\u2019d been doing deep research on such topics since he began his career on the research team at Salomon Brothers, the same (now extinct) Wall Street firm where Lewis began his career, as documented in Liar\u2019s Poker<\/em>. \u201cI had no idea you were at Salomon Brothers,\u201d Lewis said. \u201cSalomon Brothers had the smartest people in the research department. They were just the smartest people I\u2019d ever met.\u201d<\/p>\n

\u201cYeah, I read your book,\u201d Lee responded, \u201cbut I wasn\u2019t a master of the universe.\u201d<\/p>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"

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