How AI agents could destroy the economy

Citrini Research has ignited intense debate with a scenario analysis projecting that widespread adoption of AI agents could trigger economic collapse within two years. The report, presented as a retrospective from 2026, outlines a chain reaction where AI capabilities improve, companies replace white-collar contractors with cheaper in-house AI agents, leading to mass layoffs, reduced consumer spending, and margin pressure that forces further AI investment. This creates what Citrini calls 'one long daisy chain of correlated bets on white-collar productivity growth' with no natural brake.

The scenario specifically examines the replacement of business-to-business service providers—from marketing agencies to procurement specialists—with autonomous AI agents that can handle complex transactions and decision-making. This goes beyond typical automation concerns to target the $4.3 trillion global professional services market. Citrini's model shows how correlated AI adoption across industries could amplify economic shocks, with unemployment potentially doubling and stock markets falling by more than a third as productivity gains fail to translate to broader economic growth.

While Citrini describes this as a scenario rather than a firm prediction, the analysis highlights a critical vulnerability: our economic system may lack resilience against rapid, synchronized displacement of knowledge workers. The report has sparked discussion about whether current economic models account for AI's potential to simultaneously disrupt multiple sectors, creating systemic rather than isolated shocks. This represents a new category of AI risk—economic misalignment—where AI succeeds at corporate optimization but fails to maintain broader economic stability.