AI Utopianism Masks Tech Billionaires’ Fear: Douglas Rushkoff

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 Faculty/CUNY, and the creator of Survival of the Richest and Group 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 focused on “saving the world” than in surviving its potential collapse introduced on by the expertise they unleashed.

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

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

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“What they’ve accomplished by constructing their bunkers and revealing their varied house plans is that they’ve uncovered the truth that they don’t imagine that the issues they’re making are going to avoid wasting the world,” Rushkoff mentioned. “They imagine 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. Slightly, he mentioned, the expertise shifts work into much less seen and extra exploitative kinds 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 programs, from mining to knowledge preparation, is a core contradiction in claims about the advantages automation will convey.

“You want a number of slaves to get uncommon earth medals, and also you want a number 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 need to have folks constructing energy crops and determining new power sources and digging up extra coal and getting extra oil. Up to now, there are tons and plenty of jobs—simply not jobs that we need to have.”

Rushkoff argued that this hidden labor undercuts guarantees of a post-work future, whilst inventive {and professional} staff 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 sort 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 expertise subject rejected the concept that Silicon Valley leaders are knowingly concealing a collapse.

“I’d keep away from extremes, as a result of most likely the reality is within the center,” David Bray instructed Decrypt.

Chair of the Accelerator and a distinguished fellow on the Stimson Heart, a nonpartisan suppose tank targeted on safety, governance, and rising tech, Bray pushed again on the concept that tech leaders are knowingly utilizing utopian AI narratives to cover an impending collapse, warning that such interpretations threat “discarding an excessively hopeful message for an excessively 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 fun that it’s not concern mongering,” he mentioned. “However I do fear that it’s lacking the truth that there are issues that must 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 harm and human exploitation embedded within the provide chains that make superior applied sciences doable.

“We’re more and more in an interconnected world, and we’d like to concentrate on what I’d 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 can be a interval of upheaval.”

Based on 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 largest fall in demand, particularly in entry-level roles,” Simon instructed Decrypt, noting that the impact is concentrated the place staff have the least leverage.

On the decrease finish of the wage spectrum, Simon mentioned the dynamics look nearer to direct displacement, and as staff 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 slightly 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 a few of the weakest wage progress.

Simon additionally mentioned lots of the prices tied to AI infrastructure stay poorly accounted for. “I don’t suppose the environmental value 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 positive factors, she mentioned, governments might have to contemplate “extra redistributionary insurance policies like common primary earnings.

“I don’t suppose it’s in some way that issues can be utopian or dystopian,” NYU professor Vasant Dhar instructed Decrypt.

Dhar, who teaches on the Stern College of Enterprise and the Heart for Knowledge Science, mentioned AI is prone 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 expertise “amplifies some folks” and “turbo costs productiveness,” whereas others turn into disempowered, utilizing AI “as a crutch versus an amplifier.”

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

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