The current labor market is characterized by both low hiring and low firing rates. While this appears stable, it makes the economy fragile and more vulnerable to negative shocks. Unlike a high-churn environment, there is little buffer to absorb a sudden downturn, increasing the risk of a rapid deterioration.
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Policymakers are concerned that waiting for clear data on labor market weakness could be too late. They recognize that once layoffs start to "snowball" and feed on each other, the deterioration can accelerate rapidly and non-linearly, making it crucial to be forward-looking rather than reactive to lagging indicators.
While the headline number of job openings in the JOLTS report appears strong, it's a misleading signal. A record-low quits rate indicates workers are frozen in their jobs and lack confidence in the labor market, painting a picture of stagnation rather than dynamism.
Federal Reserve Chair Jerome Powell stated that after accounting for statistical anomalies, "job creation is pretty close to zero." He directly attributes this to CEOs confirming that AI allows them to operate with fewer people, marking a major official acknowledgment of AI's deflationary effect on the labor market.
While high-profile layoffs make headlines, the more widespread effect of AI is that companies are maintaining or reducing headcount through attrition rather than active firing. They are leveraging AI to grow their business without expanding their workforce, creating a challenging hiring environment for new entrants.
Companies are preemptively slowing hiring for roles they anticipate AI will automate within two years. This "quiet hiring freeze" avoids the cost of hiring, training, and then laying off staff. It is a subtle but powerful leading indicator of labor market disruption, happening long before official unemployment figures reflect the shift.
Fed Chair Powell highlighted that annual benchmark revisions to labor data could reveal that the U.S. economy is already shedding jobs, contrary to initial reports. This statistical nuance, creating a "curious balance" with a stable unemployment rate, makes the Fed more inclined to cut rates to manage this underlying uncertainty.
The market is split. The 'contract' market includes tenured employees and locked-in prices from 2022. The 'spot' market includes new hires and resale inventory, which is trying to revert to 2019 affordability levels. This tension explains conflicting economic signals.
Job seekers use AI to generate resumes en masse, forcing employers to use AI filters to manage the volume. This creates a vicious cycle where more AI is needed to beat the filters, resulting in a "low-hire, low-fire" equilibrium. While activity seems high, actual hiring has stalled, masking a significant economic disruption.
Robert Kaplan suggests the labor market's sluggishness might not be a simple cyclical slowdown. He points to a significant "matching problem" where open jobs don't align with the skills of job seekers. This structural issue limits the effectiveness of monetary policy as a solution.
Companies that over-hired in 2022 are now stuck with expensive employees who won't leave due to a weak job market. This creates a bottleneck, forcing companies to eventually lay off these 'seniors' to make room for new, cheaper 'freshmen' hires, signaling a turn in the labor market.