While mainstream technology discourse celebrates AI as a harbinger of abundance, efficiency, and novel human pursuits, a deeper, more unsettling pattern emerges when examining the trajectory of mass human obsolescence. The anonymous query 'What will humans do when AI completely replaces us?' echoes longstanding heterodox warnings about not merely job displacement but the evaporation of economic, social, and even existential purpose for large segments of humanity. Historian Yuval Noah Harari articulated this over a decade ago, predicting that just as industrialization birthed the working class, the AI revolution would spawn a massive 'useless class'—people rendered unemployable, lacking economic, political, or artistic value to society. This is not temporary unemployment but a structural irrelevance that current optimistic forecasts of reskilling and universal basic income fail to adequately address.

Recent economic analyses paint a sobering picture that aligns with these concerns. Goldman Sachs research indicates AI could displace 6-7% of U.S. workers (roughly 11 million people), with displaced individuals facing years of 'scarring'—depressed earnings, delayed homeownership, and reduced life milestones like marriage. CEOs from Anthropic and Ford have forecasted unemployment spikes of 10-20% or the elimination of half of entry-level white-collar and white-collar roles within years, far outpacing historical automation shifts. The Atlantic warns that America is fundamentally unprepared for this labor market transformation, noting that cognitive obsolescence could force even educated professionals into low-skill service niches with diminished status and meaning.

The Guardian highlights compounding risks: AI-driven job destruction, particularly of better-paid white-collar positions, combined with energy crises and reduced consumer spending (since machines don't consume), could precipitate a toxic feedback loop resembling doomsday scenarios by 2028. Unlike prior technological revolutions that eventually created new roles, AI's encroachment on cognitive and creative domains threatens to hollow out the middle class permanently. Johns Hopkins discussions reveal 64% of Americans already anticipate significant job losses, fueling public anxiety that policymakers and tech leaders have yet to resolve.

What others miss in these debates is the long-term societal collapse vector: the psychological and cultural void when productivity ceases to define human identity. Harari has explicitly questioned the 'meaning of life in a world without work,' arguing that without forging new narratives around purpose—beyond consumption or leisure—societies risk nihilism, inequality-fueled unrest, and demographic decline as fewer see value in family or contribution. This mirrors historical patterns in declining civilizations where elite detachment and mass purposelessness eroded cohesion, yet accelerated exponentially by AI's pace. Tech optimism fixates on augmentation and new jobs, deliberately avoiding how an unworking majority, stripped of agency, might destabilize institutions, amplify mental health crises, and fracture social contracts. Without confronting this existential dilemma head-on—redefining humanity's role in an AI-dominated order—the path leads not to post-scarcity utopia but to managed decline or dystopian stratification between a tiny cognitive elite and a superfluous majority.