{"id":3071,"date":"2026-07-09T12:10:46","date_gmt":"2026-07-09T12:10:46","guid":{"rendered":"https:\/\/crosscountrymovingteams.com\/?p=3071"},"modified":"2026-07-09T12:10:46","modified_gmt":"2026-07-09T12:10:46","slug":"ken-griffin-says-everyone-is-misinterpreting-the-ai-revolution-and-wishes-zohran-and-bernie-would-read-a-damn-history-book-for-once","status":"publish","type":"post","link":"https:\/\/crosscountrymovingteams.com\/?p=3071","title":{"rendered":"Ken Griffin says everyone is misinterpreting the AI revolution \u2014\u00a0and wishes Zohran and Bernie would \u2018read a damn history book for once\u2019"},"content":{"rendered":"
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What he didn\u2019t say then was exactly what triggered it. Speaking with Goldman Sachs\u2019s Raj Mahajan at the firm\u2019s Apex Symposium on June 2 \u2014 audio Fortune<\/em> has exclusive, embargoed access to \u2014 Griffin filled in the blanks.<\/p>\n

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The dinner story, inverted<\/h2>\n

The hedge fund billionaire has previously talked about having dinner at a table with a full roster of CEOs. At the Milken Institute conference, he described asking the table to share how AI was transforming their businesses and getting \u201csix or seven extraordinary stories\u201d back.<\/p>\n

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He offered a new twist on the tale to Mahajan, saying he was with a number of major CEOs at a dinner \u201cabout two years ago,\u201d and his guests were effusive as to how AI was transforming their business.<\/p>\n

Griffin added that he basically didn\u2019t believe it. \u201cI couldn\u2019t help myself. I\u2019m like, \u2018Let\u2019s go around the table and share stories about how AI is transforming your business.’\u201d When he got four or five \u201cincredible stories\u201d back about productivity gains, he told Mahajan, he deduced that \u201cnot one involved AI.\u201d The distinction, he added, is that these gains involved \u201cmachine learning,\u201d \u201coptimization\u201d and \u201cdigitization,\u201d which are not quite the same thing.<\/p>\n

The distinction matters because the terms get used interchangeably even though they describe different things. Machine learning, in Griffin\u2019s framing, refers to systems trained to recognize patterns in data and get incrementally better at a narrow task \u2014 the kind of technology Citadel has used for about a decade, citing examples like reading radiological reports or powering self-driving cars. Those systems can produce real productivity gains without exhibiting anything like general reasoning: they\u2019re pattern-matching at scale, not making judgment calls or synthesizing new conclusions the way a human analyst would.<\/p>\n

What Griffin means by \u201cAI\u201d \u2014 at least the version that alarmed him \u2014 is something closer to agentic systems that can read a task, plan a multistep approach, execute it, and check their own work, the way a finance-paper project did when it read an academic study, reproduced its methodology, and verified the results independently. A company crediting \u201cAI\u201d for a chatbot that \u201crewrite[s] the email you drafted for the last two minutes,\u201d as Griffin put it, may really be describing a narrower, well-established machine learning tool wearing a fashionable label.<\/p>\n

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Within the C suite, he told Mahajan, he thinks this \u201cnuance between AI and technology writ large gets a little bit lost.\u201d In other words, most of what gets credited to \u201cAI\u201d in corporate America, in his telling, isn\u2019t AI at all. It matters because this lack of clarity on thought has huge implications for big questions about how AI will change the economy. What if it\u2019s literacy in machine learning, or optimization, instead? \u201cThere is a technological revolution happening, of which AI is a component of the story,\u201d he told Mahajan, \u201cbut it\u2019s just a piece.\u201d<\/p>\n

The project he wouldn\u2019t name before<\/h2>\n

This crucial distinction is what makes the case that actually rattled him so notable. Griffin told Mahajan that one of his own team members built an AI system to reproduce and verify academic finance papers \u2014 the kind of work that Citadel\u2019s quant researchers do routinely, testing whether published findings, like whether stock buybacks predict outperformance, hold up out of sample.<\/p>\n

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That process, Griffin explained, normally takes an expert-level researcher six to eight weeks. The agentic system did it in two to three hours per paper: reading it, reproducing the methodology, verifying the published results, then testing them out of sample.<\/p>\n

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\u201cHere\u2019s the key point,\u201d Griffin said. \u201cThis is not just a white-collar job; this is a master\u2019s or PhD-level job.\u201d<\/p>\n

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Griffin\u2019s message to workers and students has been that they should become lifelong learners and use these new AI tools to learn in different ways. In the Goldman conversation, he offered a fuller structural theory behind that advice. He described two ideas coexisting: real concern for workers whose skills are narrow and hard to redeploy \u2014 he singled out translation work as one case demanding serious retraining infrastructure \u2014 and, on the other side, a belief that competitive moats between companies are \u201cbeing filled in at lightning speed.\u201d The result, he predicted, will be a \u201cgolden age of entrepreneurial activity,\u201d where small teams running agentic systems can challenge incumbents that once needed 30 or 40 employees.<\/p>\n

Griffin was explicit that Citadel itself hasn\u2019t cut a single job over these gains. \u201cThere\u2019s no reduction to headcount at Citadel on the back of this breakthrough,\u201d he said, framing the efficiency gain as expanding what his existing staff can tackle rather than a reason to shrink the team. Implicitly invoking what\u2019s known as the \u201clump of labor fallacy,\u201d Griffin argued that his \u201cincredibly talented people\u201d will take all of the productivity gains from technology (if not necessarily AI) and \u201cwe have just a huge swath of problems that we\u2019re trying to attack and go after.\u201d<\/p>\n

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The same instinct Griffin displayed on AI vs. technological advancements \u2014\u00a0separating the real signal from the narrative \u2014\u00a0extended to his reading of the rest of the world right now.<\/p>\n

On markets, he argued that the S&P\u2019s record highs, despite active wars in the Middle East and Europe, aren\u2019t the product of investors ignoring risk but of a few specific, underappreciated shifts \u2014 the U.S. being partly insulated from the energy shock, a surprising collapse in Chinese oil demand, and a steady if irregular flow of oil still leaving the region. <\/p>\n

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His analysis of China followed the same pattern of separating hype from hard numbers. He calculated that China now leads in roughly 67 to 68 of the 75 most important global technologies. \u201cAs an American I get frustrated by this,\u201d he said, arguing that the fix lies in education, not tariffs. On Taiwan, he was similarly concrete: a blockade cutting off access to TSMC\u2019s chips could shrink US GDP by 8% within six months, with devastating effects. \u201cSimply put, we go into a Great Depression in the blink of an eye. Unlike any we\u2019ve seen before.\u201d Boeing would stop making planes, automakers would stop making cars, \u201ceverything freezes,\u201d he said, adding that it was a reason why he saw \u201cno winners\u201d from military escalation in Taiwan.<\/p>\n

Even his approach to portfolio risk reflects the same worldview: distrust the abstract, focus on the concrete, measurable case. Asked about hedging, Griffin described a framework centered on stress-testing for a \u201cdefinable, tolerable\u201d worst-case loss, rather than trying to insure against every possible tail event \u2014 the same instinct that led him to dismiss all the vague AI enthusiasm until he saw a specific, verifiable case that convinced him otherwise\u2014and helped him understand where it was really coming from.<\/p>\n

Griffin didn\u2019t stay confined to markets and AI. Asked by Mahajan about a viral moment involving New York City Mayor Zohran Mamdani and his New York City home, Griffin sidestepped naming the city\u2019s mayor directly, before declaring: \u201cI believe Citadel will be a principal player in financial services for far longer than [the mayor] will be mayor.\u201d He argued that Citadel\u2019s decision-making operates on a decades-long horizon that outlasts any single administration. \u201cWe intend to be here for decades. And he will be here for a few years.\u201d<\/p>\n

Griffin used the moment to renew his criticism of New York\u2019s tax burden relative to city services, calling the gap \u201cbreathtaking\u201d and asking \u201cwhere is all this money being wasted?\u201d He pointed to Citadel\u2019s and Goldman Sachs\u2019s expansions outside New York \u2014 Goldman\u2019s new headquarters in Dallas and Citadel\u2019s 1.7 million-square-foot tower under construction in Miami \u2014 as direct responses to high taxation and what he called \u201cmediocre services.\u201d He has not spoken to the mayor, he revealed, before pivoting to a debate about the merits of capitalism versus socialism and his befuddlement with an increasingly anti-capitalist Gen Z.<\/p>\n

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\u201cHow have we ended up with so many 20- and 30-year-olds who actually think socialism is the path to prosperity?\u201d he asked rhetorically, arguing that there\u2019s a \u201csimple lesson\u201d to draw from China\u2019s history, as a transition to open markets lifted 1 billion people out of poverty. (The World Bank put the number at 800 million over 40 years, as of 2022.) <\/p>\n

\u201cIt\u2019s the greatest success story in the history of humanity,\u201d Griffin said, urging the self-identified socialist politicians, \u201cwhether it\u2019s Bernie Sanders, whether it\u2019s Mamdani,\u201d to \u201cread a damn history book for once and then tell us how to run our country.\u201d<\/p>\n

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Asked by an audience member about his personal capital allocation, including his real estate and art holdings, Griffin was candid about art as an investment: \u201cIt\u2019s fine at best. Its returns are uninteresting over the last 20 years,\u201d he said, adding that collectors tend to publicize their winning purchases while staying quiet about the ones that lost money.<\/p>\n

On intergenerational wealth, Griffin offered a strikingly unsentimental view. He said he \u201cquibbles\u201d with the idea of planning wealth for descendants four or five generations out, arguing that by that point, \u201cthere\u2019s not much of you left in that DNA\u201d and that distant descendants \u201cmay have the same last name\u201d but are otherwise \u201clike the stranger on the street.\u201d <\/p>\n

Read more America\u2019s bone health is quietly headed for a $19 billion crisis<\/a><\/p>\n

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