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.

October saw the highest number of U.S. job cuts in two decades, with consulting firm Challenger, Gray & Christmas explicitly citing AI adoption as a key driver. This data confirms that AI's impact on employment is an ongoing event, moving beyond speculation into measurable, significant job displacement.

Firms are attributing job cuts to AI, but this may be a performative narrative for the stock market rather than a reflection of current technological displacement. Experts are skeptical that AI is mature enough to be the primary driver of large-scale layoffs, suggesting it's more likely a convenient cover for post-pandemic rebalancing.

State-level unemployment insurance data, available during the government shutdown, shows a distinct trend. Initial claims are low (companies aren't laying people off), but continuing claims are elevated (it's hard for the unemployed to find new jobs), confirming a stagnant labor market.

Laid-off workers are increasingly turning to gig platforms like Uber instead of filing for unemployment. This trend artificially suppresses unemployment insurance (UI) claims, making this historically reliable indicator less effective at signaling rising joblessness and the true state of the labor market.

Large-scale government furloughs didn't cause a significant increase in unemployment claims. The reason is that affected workers received six months or more of advance notice and severance. This extended period allowed many to find new employment before their benefits ran out, while others opted for retirement, muting the impact on jobless data.

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.

A wave of federal job cuts structured as "deferred resignations" did not spike unemployment insurance (UI) claims because they were classified as voluntary departures, making workers ineligible. This technicality masks the true labor market impact, which instead appears in claims from laid-off private-sector government contractors.