A new AI research report has sparked global concern after warning that blue-collar jobs are not immune to economic disruption caused by artificial intelligence. The paper, co-authored by Alap Shah, CEO of Littlebird.ai, and published by Citrini, a thematic equity investing firm, presents a stark vision of the future—set in 2028—where rapid AI adoption leads to widespread white-collar job losses, triggering a chain reaction that undermines the entire economy. On Monday, Shah appeared on the "TBPN" podcast, where he explained that while blue-collar jobs currently appear resilient, their safety is not guaranteed. He emphasized that there is ultimately only one labor market, and if white-collar workers are displaced without viable alternative employment, they will be forced into lower-paying roles in the gig economy or blue-collar sectors. “Let’s say in our scenario, 5% of folks might get fired in a couple of years,” Shah said. “If there aren’t white-collar jobs for them to move into, they’ll flood the gig economy and the blue-collar labor force. That puts pressure on the entire labor market, not just the white-collar one.” The report outlines a domino effect: mass layoffs in knowledge-based industries would reduce household incomes, leading to decreased consumer spending. This, in turn, would weaken demand in housing and mortgage markets, especially in urban centers. As confidence erodes, financial markets would react sharply—leading to a global stock sell-off and a broad-based recession across all sectors. The research argues that the current AI boom is built on a fragile foundation of correlated bets on sustained white-collar productivity gains. “The system turned out to be one long daisy chain of correlated bets on white-collar productivity growth,” the report states. It adds that the November 2027 market crash only accelerated existing negative feedback loops, causing AI investment to dry up due to declining economic confidence. Shah also questioned the sustainability of recent growth in sectors like health and education, noting that much of it is driven by government spending. “Those sectors continue to grow because government spending grows,” he said. “But it gets very circular—if government revenue depends on taxes, and payroll taxes come from workers, then a drop in personal income means less tax revenue. That could eventually force cuts in public services.” The report serves as a cautionary tale, highlighting that while AI may boost efficiency, its uncontrolled rollout could destabilize the economy by undermining the very workforce that fuels consumer demand.