Companies have already pulled all available levers to manage costs short of layoffs, including halting hiring, cutting hours, and reducing temporary staff. Therefore, the persistently low layoff rate is the last defense holding the economy back from a recession. Any significant increase in layoffs would signal this firewall has broken.

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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.

The current labor market is in a state of paralysis, described as a "deer in the headlights" moment. Businesses, facing extreme uncertainty from tariffs and policy shifts, have frozen both hiring and layoffs. This creates a stagnant, low-dynamism environment where both employers and employees are cautiously waiting.

Companies are avoiding layoffs but have exhausted all other cost-cutting measures: slowing hiring to near-zero, cutting hours, and reducing temp staff. This "firewall" against recession is the only thing holding up the labor market, but it leaves businesses with no other levers to pull if demand weakens further.

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.

The long-held belief that companies are "hoarding" labor due to post-pandemic hiring scars is becoming a weaker argument. As economic pessimism grows, the pressure to cut costs should eventually force layoffs, making the continued low layoff rate increasingly puzzling and harder to explain solely by this factor.

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.

Mastercard's Chief Economist argues the labor market is in balance, not collapsing. A slowdown from 175k to ~70k jobs/month is a necessary correction from an unsustainable, post-pandemic surge. With both labor demand (hiring) and supply decreasing, key metrics like the unemployment rate remain stable, indicating equilibrium rather than decline.

AI is a key factor in the current labor market stagnation. Companies are reluctant to hire as they assess AI's long-term impact on staffing needs. At the same time, they are holding onto experienced employees who are crucial for implementing and integrating the new AI technologies, thus suppressing layoffs.

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.

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.