In 2025, the U.S. economy presents a peculiar paradox: corporate profits are soaring and stock markets are reaching record highs, yet nearly one million jobs have been cut this year—the largest wave of layoffs since the pandemic upheaval in 2020. This unusual combination of booming company earnings alongside widespread job losses has puzzled economists and investors alike, challenging traditional economic patterns and prompting fresh analysis of underlying causes.
Historically, layoffs tend to spike when companies face financial strain and declining profitability, forcing them to reduce costs by trimming their workforce. However, the current environment defies this conventional wisdom. Chen Zhao, chief global strategist at the investment research firm Alpine Macro, describes the phenomenon as a “jobless boom.” He points out that firms like Amazon are cutting tens of thousands of jobs even as their profits remain robust and their business performance strong. Zhao emphasizes that this scenario “is completely different from a historical playbook” and signals a fundamental shift in how businesses operate amid technological change.
Central to this shift is the rapid adoption of artificial intelligence (AI) across multiple sectors. AI technologies are dramatically enhancing productivity, allowing companies to accomplish more with fewer employees. While this trend began in the tech industry, it is now spreading broadly as businesses integrate AI to streamline operations, reduce costs, and improve efficiency. Zhao explains that the labor demand is essentially flat or even contracting slightly, despite the economy and corporate profits performing well. “We’ve never seen anything like that,” he says.
For most of 2025, the U.S. job market was characterized as “no hire, no fire,” meaning employers were neither aggressively expanding their workforce nor conducting large-scale layoffs. Workers, for the most part, enjoyed job security even as hiring slowed across the country. However, this equilibrium has shifted in recent months. The Federal Reserve has responded by cutting its benchmark interest rate twice—in September and October—citing growing risks to employment growth. Fed Chair Jerome Powell has noted that policymakers are paying close attention to announcements of layoffs, particularly from major employers.
Complicating the picture is the ongoing government shutdown that began on October 1, which has delayed the release of official employment data, including the Department of Labor’s monthly employment report. This has forced economists and analysts to rely on alternative measures to gauge the labor market’s health. One key source is ADP, a payroll processor that tracks private-sector hiring. According to ADP data released in early November, private employers added 42,000 jobs in October—a modest rebound after two months of sluggish hiring. However, this figure does not capture federal government employment, which has seen layoffs due to the shutdown.
Bill Adams, chief economist at Comerica Bank, notes that while private employment showed some growth in October, overall employment likely remained flat when factoring in federal layoffs. The muted job growth suggests a labor market that is stagnating as the year draws to a close. Despite these developments, the national unemployment rate has stayed relatively low, recorded at 4.3% in August, the most recent official figure available.
Experts point out that the unemployment rate’s stability is partly due to demographic and policy factors that have reduced the size of the labor force. The retiring baby boomer generation is shrinking the pool of available workers, while stricter immigration policies implemented during the Trump administration have also contributed to slower labor force growth. Zhao summarizes this dynamic as a “very odd equilibrium” where labor demand is flat or declining, but labor supply is also not expanding.
Not everyone agrees that AI is the primary driver of recent layoffs. Art Pappas, CEO of Bullhorn—a software company serving recruitment and temporary staffing agencies—argues that the job cuts more likely reflect businesses recalibrating after pandemic-era overexpansion. During the pandemic, many companies hired aggressively to meet surging demand and now are adjusting back to more sustainable workforce levels. Pappas also suggests that companies may be using AI as a buzzword to justify layoffs, especially since announcements of job cuts often lead to stock price gains, creating a perverse incentive to trim staff.
Nevertheless, Pappas acknowledges that companies are indeed cutting back on hiring, particularly for entry-level positions. He argues that this signals broader caution among employers rather than AI outright replacing these jobs. “Companies do most of their hiring at the entry level,” he explains, so reductions in entry-level hiring indicate a slowdown in workforce growth rather than direct AI substitution.
The current labor market transformation raises important questions about the future of work in