{"id":2261,"date":"2026-06-26T07:11:46","date_gmt":"2026-06-26T07:11:46","guid":{"rendered":"https:\/\/crosscountrymovingteams.com\/?p=2261"},"modified":"2026-06-26T07:11:46","modified_gmt":"2026-06-26T07:11:46","slug":"everyone-agrees-that-you-hate-ai-but-only-mark-cuban-sees-why-silicon-valley-is-powerless-to-fix-it","status":"publish","type":"post","link":"https:\/\/crosscountrymovingteams.com\/?p=2261","title":{"rendered":"Everyone agrees that you hate AI, but only Mark Cuban sees why Silicon Valley is powerless to fix it"},"content":{"rendered":"
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By the time Cuban hit send, two economists had already made the same argument\u2014in more rigorous, and in some ways more damning, terms.<\/p>\n

Read more Personal Liability Insurance for Homeowners: Coverage and Common Exclusions Explained<\/a><\/p>\n

In a guest essay published Thursday in The New York Times<\/em>, venture capitalist and MIT fellow Paul Kedrosky argued that American AI pessimism isn\u2019t cultural, isn\u2019t driven by misinformation, and isn\u2019t the reflexive technophobia the industry likes to blame. It correlates instead with one specific variable: labor market institutions. <\/p>\n

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And in a piece published the same morning on his Substack, Nobel laureate and former Times<\/em> (and Fortune<\/em>) columnist Paul Krugman assembled a multipart indictment of the industry itself, concluding that the backlash is not \u201cnormal skepticism about change. This intense backlash is special.\u201d<\/p>\n

The very same day, in its Top of Mind<\/em> report, Goldman Sachs economist Joseph Briggs estimated that up to 9% of the American labor force\u2014roughly 15 million workers\u2014could be displaced during the decadelong AI transition, concentrated in the cognitive, routine white-collar jobs that define the American middle class. He quickly added that he believes the transition will be temporary and AI will create many more new jobs than it destroys over the long term. Still, 15 million is a lot of people.<\/p>\n

Three voices. One day. One verdict. The AI industry has a massive perception problem, and it\u2019s not fixable with better messaging.<\/p>\n

Krugman: They told us it was coming<\/h2>\n

The first thing to understand about the backlash, Krugman argues, is that the industry largely manufactured it. Anthropic CEO Dario Amodei declared in a widely circulated interview that AI could eliminate half of entry-level white-collar jobs and push unemployment to 20% within five years and OpenAI CEO Sam Altman promoted similarly apocalyptic visions. That strategy, Krugman argued, was financial: dazzle investors, terrify businesses into rapid adoption and secure funding. The plan worked only too well.<\/p>\n

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\u201cOnly belatedly did they realize that declaring that your technology will wreak devastation would lead to a public backlash,\u201d Krugman writes, \u201cand that this backlash would be a serious problem.\u201d By then, the image had hardened. AI wasn\u2019t a productivity tool or a platform. It was something being done to you\u2014your job, your creative work, your profession, your future, by people who had already told you they were coming for it.<\/p>\n

Krugman adds a second layer: forced adoption. Americans aren\u2019t merely anxious about AI in the abstract. They\u2019re being compelled to use it\u2014by employers responding to financial market pressure and by platforms that have replaced their existing products without offering an opt-out.<\/p>\n

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Kedrosky: Why America is different<\/h2>\n

Other countries are watching all of this, and most of them feel fine. That\u2019s the startling finding at the center of Kedrosky\u2019s Times<\/em> essay. A survey of 24,000 adults across 30 countries found that citizens of nearly every nation view AI more favorably than Americans do.<\/p>\n

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The industry\u2019s explanation, predictably, is that Americans have been misinformed. Fix the messaging, get the optimistic voices out there. There is, Kedrosky notes drily, \u201calready an entire gig economy of AI boosterism.\u201d<\/p>\n

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But the data doesn\u2019t support the messaging theory. If American pessimism were a communication problem, it would correlate with media consumption, education levels or political affiliation. Instead it cuts across all of those categories and correlates with the structure of the American labor market, specifically, what happens to you when you lose your job.<\/p>\n

In Norway, job loss means receiving roughly 67% of your previous wages while you search for the next position. In France, it\u2019s 66% and in Germany it\u2019s 60%. But in the United States, losing your job means losing your income, and your health coverage, simultaneously, often for an entire family.<\/p>\n

Read more How one chip stock reversed the global tech selloff, exposed AI\u2019s \u2018memory tax\u2019 and made the case for an entire valuation regime change<\/a><\/p>\n

\u201cJob loss in the United States is more threatening than anywhere else in the wealthy world,\u201d Kedrosky writes. The pessimism about the technology, Kedrosky concludes, is not irrational but a completely rational response to a technology tailor-made to crack the most fragile joints of the American socioeconomic structure.<\/p>\n

Goldman Sachs\u2019s relatively sanguine baseline forecast\u2014that AI-driven displacement will prove temporary\u2014rests on the explicit assumption that the dynamism of the American labor market will create new jobs faster than AI destroys them. That is precisely the variable Kedrosky\u2019s structural argument puts in question.<\/p>\n

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Cuban: The John Galt problem<\/h2>\n

Cuban\u2019s post lands with behavioral and cultural diagnosis reinforcing the same conclusion: the tech industry is not just failing to address the problem, it is constitutionally incapable of doing so.<\/p>\n

\u201cThe big LLMs have lost the PR battle,\u201d he wrote. \u201cWhy? Because they all suck at putting people first.\u201d He accused them of having a Silicon Valley \u201cattitude\u201d that \u201cmakes them all think they are John Galt saving the world.\u201d<\/p>\n

Galt is a character from Ayn Rand, of course. The protagonist of Atlas Shrugged<\/em> is a visionary who believes civilization depends on him and his peers\u2014that obligations to the broader public are a form of coercion, that the masses neither understand nor deserve the fruits of great minds. That mindset makes the kind of genuine community engagement that this moment requires not just unlikely, but almost impossible.<\/p>\n

MIT\u2019s Daron Acemoglu\u2014interviewed in the Goldman report\u2014gives the John Galt critique its economic form. The AI industry, he argues, has the technical capacity to build tools that complement human workers rather than replace them, but it is choosing not to. \u201cA shift in the industry\u2019s priorities and incentives that leads to greater investment in the complementary path could result in a much more positive outcome for labor,\u201d he told Goldman. \u201cBut should things continue as they are, I would expect bigger net job losses within the next 10 to 15 years.\u201d The industry knows the fork in the road exists. It keeps taking the same turn.<\/p>\n

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Krugman makes the same point from a different angle. In 2015, Pew found that 71% of Americans said tech companies had a positive impact on the country. By 2022, the year ChatGPT launched, that goodwill had almost entirely evaporated\u2014eroded by years of what Krugman calls the \u201censhittification\u201d of tech products, the psychic damage of social media, and a growing public awareness of wealth concentration at the top. AI didn\u2019t enter a neutral environment, but arrived into a trust deficit the industry had spent years building.<\/p>\n

What would actually help<\/h2>\n

Cuban\u2019s prescription is direct: stop buying politicians, stop hiring celebrities, stop explaining why AI is good for humanity. Go to the towns and cities that will be disrupted and ask them what they need. Go to the working artists and creative unions in Los Angeles and New York, not the studios, he stresses, and ask what support would look like. Then do what they say.<\/p>\n

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\u201cYou will need to do what they ask,\u201d he writes. \u201cBillions of dollars is a lot of money across towns and city programs. Across the major LLMs, it\u2019s a cost of doing business.\u201d<\/p>\n

That\u2019s a compelling prescription, but Kedrosky\u2019s structural argument implies a harder truth: even if every AI company did exactly what Cuban recommends, it would not resolve the underlying condition. Community investment tours and artist funds don\u2019t decouple health care from employment or build an unemployment insurance system that actually replaces income at a meaningful level. <\/p>\n

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Cuban ends on an oddly hopeful, colorful note as he issued a warning to the leaders of the AI industry. \u201cGiven the number of data centers and power that is needed, today and going forward , If you don\u2019t kiss the asses of the people that go to work every day, and are just trying to pay their bills, you will fall far far short of the capacity you need to make your business work.\u201d Do the John Galts of the world know that the power is really with the people?<\/p>\n

Read more Tru Niagen Review (2026): Our Honest Thoughts<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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