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 principle 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 focused on “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 house colonization, betraying their public optimism, and secretly they anticipate social and environmental collapse fairly than a technological golden age.



“What they’ve finished by constructing their bunkers and revealing their varied house 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 might save them and that the remainder of us are taking place.”

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

“We’re not truly 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 gas a surge of recent jobs and industries. Rushkoff mentioned the worldwide infrastructure required to maintain AI programs, from mining to information preparation, is a core contradiction in claims about the advantages automation will deliver.

“You want a number of slaves to get uncommon earth medals, and also you want a number of individuals in China and Pakistan to tag all this information,” Rushkoff mentioned. “There are 1000’s and 1000’s of individuals behind AI. We’re going to must have individuals constructing energy crops and determining new vitality sources and digging up extra coal and getting extra oil. Thus far, there are tons and many 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 consequence, he mentioned, will not 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 type 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 machines whereas the remainder of humanity turns into expendable.

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

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

“I might keep away from extremes, as a result of most likely the reality is within the center,” David Bray informed 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 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.

“Once I hear individuals 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’d like 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 are going to get by this, however there can be a interval of upheaval.”

In response to Lisa Simon, chief economist at workforce intelligence firm Revelio Labs, labor market information already displays elements of that upheaval.

“Essentially the most extremely uncovered occupations have seen the largest fall in demand, particularly in entry-level roles,” Simon informed 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 individuals.

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

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 information 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 may have to contemplate “extra redistributionary insurance policies like common fundamental earnings.

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

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

He mentioned these features additionally carry displacement dangers. “I feel we’ll see quite a lot of job destruction,” Dhar mentioned, including that it stays unclear what varieties of recent jobs will emerge to switch these losses.

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