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    Home»Markets»AI Utopianism Masks Tech Billionaires’ Worry: Douglas Rushkoff – Decrypt
    AI Utopianism Masks Tech Billionaires’ Worry: Douglas Rushkoff – Decrypt
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    AI Utopianism Masks Tech Billionaires’ Worry: Douglas Rushkoff – Decrypt

    By Crypto EditorJanuary 17, 2026No Comments7 Mins Read
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    AI Utopianism Masks Tech Billionaires’ Worry: Douglas Rushkoff – Decrypt

    In short

    • Douglas Rushkoff argues AI utopianism masks labor exploitation and environmental prices.
    • Economists say AI boosts productiveness however concentrates displacement, particularly on the entry degree.
    • Specialists push again on claims of deliberate deception, warning towards oversimplified narratives.

    For media theorist Douglas Rushkoff, the shiny guarantees of a silicon-powered utopia are little greater than a smokescreen for an elitist exit technique.

    Rushkoff, a professor of media idea and digital economics at Queens School/CUNY, and the writer of Survival of the Richest and Staff Human, made the remarks throughout a current interview on the Repatterning Podcast with host Arden Leigh. Within the interview, he supplied a scathing critique of the tech billionaire class, arguing that these evangelizing synthetic intelligence are much less involved in “saving the world” than in surviving its potential collapse introduced on by the know-how they unleashed.

    “The billionaires are afraid of being hoisted on their very own petard,” Rushkoff mentioned. “They’re afraid of getting to cope with the repercussions of their actions.”

    He pointed to tech titans, together with Mark Zuckerberg and Sam Altman, reportedly investing in bunker building, whereas on the identical time SpaceX CEO Elon Musk preaches area colonization, betraying their public optimism, and secretly they anticipate social and environmental collapse quite than a technological golden age.

    “What they’ve completed by constructing their bunkers and revealing their numerous area plans is that they’ve uncovered the truth that they don’t consider that the issues they’re making are going to save lots of the world,” Rushkoff mentioned. “They consider that the issues they’re making may save them and that the remainder of us are happening.”

    Rushkoff additionally challenged the notion that AI is lowering human labor. Relatively, he mentioned, the know-how shifts work into much less seen and extra exploitative types quite than eliminating it.

    “We’re not really seeing a discount in labor due to AI,” Rushkoff mentioned. “What we’re seeing is a downskilling of labor.”

    Whereas technologists, together with Robinhood CEO Vladimir Tenev, argue that AI will gasoline a surge of latest jobs and industries. Rushkoff mentioned the worldwide infrastructure required to maintain AI techniques, from mining to knowledge preparation, is a core contradiction in claims about the advantages automation will convey.

    “You want plenty of slaves to get uncommon earth medals, and also you want plenty of folks in China and Pakistan to tag all this knowledge,” Rushkoff mentioned. “There are 1000’s and 1000’s of individuals behind AI. We’re going to should have folks constructing energy crops and determining new power sources and digging up extra coal and getting extra oil. To date, there are tons and plenty of jobs—simply not jobs that we wish to have.”

    Rushkoff argued that this hidden labor undercuts guarantees of a post-work future, at the same time as inventive {and professional} employees face displacement. The outcome, he mentioned, shouldn’t be liberation however a redistribution of hurt.

    He additionally criticized the ideology driving elite AI narratives, describing it as a type of transhumanism that treats most individuals as disposable.

    “They’ve a form of faith,” Rushkoff mentioned. “The place they have a look at you and me as being within the larval stage of humanity.”

    In that worldview, he mentioned, rich technologists think about themselves escaping organic limits by means of machines whereas the remainder of humanity turns into expendable.

    “They’re those which might be sprouting wings and getting off the planet or importing to the cloud,” Rushkoff mentioned, whereas “the remainder of us are solely matter, gasoline for his or her escape.”

    Others within the pc science and know-how subject rejected the concept Silicon Valley leaders are knowingly concealing a collapse.

    “I might keep away from extremes, as a result of in all probability the reality is within the center,” David Bray instructed Decrypt.

    Chair of the Accelerator and a distinguished fellow on the Stimson Middle, a nonpartisan assume tank targeted on safety, governance, and rising tech, Bray pushed again on the concept tech leaders are knowingly utilizing utopian AI narratives to cover an impending collapse, warning that such interpretations threat “discarding a very hopeful message for a very dire message.”

    Bray did, nevertheless, acknowledge that many optimistic claims about AI oversimplify what’s required to handle large-scale technological change.

    “After I hear folks give a utopian imaginative and prescient, on the one hand, I have a good time that it’s not worry mongering,” he mentioned. “However I do fear that it’s lacking the truth that there are issues that have to go in place past simply the tech itself.”

    Bray echoed Rushkoff’s warning that the prices of AI are sometimes obscured, pointing to the environmental injury and human exploitation embedded within the provide chains that make superior applied sciences attainable.

    “We’re more and more in an interconnected world, and we want to concentrate on what I might name a farm-to-table view,” he mentioned.

    Bray framed the AI transition as disruptive however acquainted, tracing a line again to the Eighteen Nineties, railroads, telegraph machines, and the economic revolution. “We’ve been right here earlier than,” he mentioned. “We’ll get by means of this, however there will probably be a interval of upheaval.”

    In line with Lisa Simon, chief economist at workforce intelligence firm Revelio Labs, labor market knowledge already displays components of that upheaval.

    “Probably the most extremely uncovered occupations have seen the most important fall in demand, particularly in entry-level roles,” Simon instructed Decrypt, noting that the impact is concentrated the place employees have the least leverage.

    On the decrease finish of the wage spectrum, Simon mentioned the dynamics look nearer to direct displacement, and as employees use AI instruments to extend output, employers could merely want fewer folks.

    “We’re seeing this largely in low wage work, the place the complexity of duties is a little bit decrease and the flexibility to exchange complete chunks of an occupation by means of automation is a given,” she mentioned, including that these roles are additionally seeing among the weakest wage development.

    Simon additionally mentioned most of the prices tied to AI infrastructure stay poorly accounted for. “I don’t assume the environmental price to those huge knowledge facilities is totally appreciated,” she mentioned.

    Whereas Simon mentioned she stays broadly optimistic about AI’s long-term potential, she framed the present second as one which calls for coverage intervention. To protect social cohesion amid displacement and uneven features, she mentioned, governments might have to think about “extra redistributionary insurance policies like common fundamental revenue.

    “I don’t assume it’s come what may that issues will probably be utopian or dystopian,” NYU professor Vasant Dhar instructed Decrypt.

    Dhar, who teaches on the Stern Faculty of Enterprise and the Middle for Information Science, mentioned AI is more likely to produce uneven outcomes quite than a clear post-work future. He warned of what he referred to as a “bifurcation of humanity,” the place the know-how “amplifies some folks” and “turbo costs productiveness,” whereas others turn into disempowered, utilizing AI “as a crutch versus an amplifier.”

    He mentioned these features additionally carry displacement dangers. “I believe we’ll see a variety of job destruction,” Dhar mentioned, including that it stays unclear what varieties of latest jobs will emerge to exchange these losses.

    In the end, Dhar mentioned outcomes will rely on governance quite than know-how alone. “The outcomes will rely on the alternatives we make,” he mentioned, asking, “Will we govern AI, or will they govern us?”

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