The job growth diffusion index, measuring the share of industries expanding payrolls, fell to 47.6 in October. A reading below 50 has historically signaled a recession, indicating that current job gains are dangerously concentrated in just a few sectors like healthcare.
The podcast's economists assess the probability of a recession in the next year at 40-45%, significantly higher than the consensus view of 25-30%. This heightened risk is based on deteriorating labor market trends and is corroborated by Moody's own machine learning models.
Despite weak underlying economic data, the probability of a recession is not over 50% due to anticipated policy stimulus. This includes Fed rate cuts, major tax cuts, and deregulation, which are expected to provide significant, albeit temporary, economic support.
The labor market faces a dual threat. Weak demand, linked to tariffs and deglobalization, has already pushed job growth to zero. As AI adoption accelerates productivity, it could further suppress labor demand, potentially tipping the economy into a state of net job decline.
Even if AI drives productivity, it may not fuel broad economic growth. The benefits are expected to be narrowly distributed, boosting stock values for the wealthy rather than wages for the average worker. This wealth effect has diminishing returns and won't offset weaker spending from the middle class.
Analysis shows a direct correlation between the April 4th tariff announcements and the subsequent halt in net job creation. For months, job growth has hovered near zero, suggesting the trade policy shift had an immediate, negative impact on the labor market.
The rise in the unemployment rate to 4.6% is primarily driven by a dramatic increase in labor force participation over the last five months, which averaged 238,000 new entrants monthly. This suggests the issue is more about absorbing new workers than a deterioration in hiring.
A key concern is that AI will automate tasks done by entry-level workers, reducing hiring for these roles. This poses a long-term strategic risk for companies, as they may fail to develop a pipeline of future managers who learn foundational skills early in their careers.