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The biggest threat of AI on jobs may not be during stable economic times. Historical precedent suggests businesses use downturns as an opportunity to restructure and adopt new technologies. A future recession could see firms rapidly automate cognitive work, amplifying the shock and prolonging the downturn.

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Rapid AI productivity gains could overwhelm the economy, causing significant job loss before new roles are created. Moody's analysts don't view this as a remote tail risk, but as a substantial 1-in-5 possibility that requires serious consideration by policymakers and business leaders.

Widespread job loss isn't necessary to destabilize the economy. A relatively small displacement will reduce purchasing power and the need for capital, creating a self-reinforcing cycle of economic decline well before mass unemployment hits.

Unlike past technological shifts, leading AI labs are focused on automating their own research first to accelerate progress. This means mass job displacement in the broader economy will happen suddenly in a wave, not gradually, after this internal goal is achieved.

Job losses will spike for two distinct reasons at once. First, a bursting bubble will cause cyclical layoffs as companies cut costs to survive. Simultaneously, the underlying structural shift of AI and robotics replacing human labor will continue its slow march forward.

The impact of AI-driven job displacement is magnified by the current economic downturn. In a boom, laid-off workers might start successful companies. In a recession, these new ventures are more likely to fail, eliminating the typical entrepreneurial safety net and accelerating economic strain.

History shows widespread job losses from new technology don't happen immediately during innovation booms. Instead, the economic pressure of a recession or market bust acts as the catalyst, forcing companies to implement efficiencies and eliminate roles made redundant by technology that was adopted earlier.

History shows businesses often invest in new technology during downturns. A future recession could trigger a wave of AI implementation as firms restructure to cut costs, potentially accelerating automation and prolonging the negative employment shock more than in past cycles.

In a strong economy, AI would spur a wave of successful new companies, creating new jobs. However, because this technological shift is happening during an economic downturn, most new AI-enabled startups will likely fail, leading to net job destruction rather than creation.

Experts believe AI will create long-term prosperity, like past tech shifts. However, the unprecedented speed of this change could cause massive short-term unemployment before new roles and economic structures can emerge, posing a unique transitional threat.

Historically, economic downturns accelerate technological displacement. During a recession, companies lay off workers and then use the subsequent recovery to evaluate how many roles can be permanently replaced by new technology like AI. The next recession could therefore trigger a significant wave of structural unemployment.