A majority of Americans now view artificial intelligence with deepening unease, a shift that marks a turning point in the public’s relationship with a technology once celebrated as the engine of future prosperity. A Quinnipiac poll reveals that 70% of Americans believe AI will lead to fewer job opportunities for humans, up from 56% a year ago, while one in three express personal anxiety about their own employment. Such fears are grounded in tangible disruption: the technology sector has shed over 85,000 jobs this year alone, a 33% increase on the same period in 2025, according to data from Challenger, Gray & Christmas. Major firms from Amazon to Snap have justified layoffs by pivoting toward AI-driven operations, and the trend shows no sign of easing.

Inside the very companies pioneering this transformation, the mood is scarcely more optimistic. Last month, Meta informed tens of thousands of its US employees that it would begin tracking their keystrokes, mouse movements, and on-screen activity to train its artificial intelligence models on “how people actually perform everyday tasks using computers.” Workers revolted, branding the surveillance a privacy violation and calling it antisocial and insensitive. One engineering manager wrote that the programme made them “very uncomfortable.” The episode underscores a growing friction between corporate AI ambitions and the human workforce that must train the machines—even as those same workers fear replacement.

Viewed from Buenos Aires, the challenge appears even starker. Automated interview platforms now process ten thousand candidates per hour, assessing grammar, critical thinking, and soft skills without human intervention. Candidates receive machine-generated grades—Junior, B1, B2—with little transparency about how decisions are reached. Argentine law, like that of most nations, has no answer to decisions made by algorithms, leaving workers unprotected in a rapidly digitising hiring process. The gap between technological capacity and legal frameworks is widening across the globe.

In Europe, regulators are attempting to impose order. Ireland’s media authority is investigating whether Facebook and Instagram’s recommendation systems violate the Digital Services Act, focusing on so-called dark patterns that manipulate user choices and funnel data to algorithms. The case highlights a broader tension: even as Brussels writes rules to protect citizens, the technology’s pace comfortably outstrips enforcement. The DSA requires platforms to offer non-algorithmic options, but compliance remains patchy and contested.

The political consequences are already visible in the technology’s heartland. In an election year, American politicians are seizing on public anxiety, floating a “token tax” on AI usage and opposing new data centres over rising electricity prices and local opposition. Analysts in London note that while predictions of a job apocalypse may be overstated—Dario Amodei of Anthropic estimates half of entry-level office jobs could vanish within five years, while Microsoft AI’s Mustafa Suleyman foresees full automation of most administrative work inside eighteen months—the technology is undeniably reshaping the lower rungs of white-collar employment. The coming years will test whether societies can negotiate a new social contract with machines that neither sleep nor tire, and whether regulation can catch up before trust erodes entirely.