Opinion: The Layoffs Keep Coming, and "AI" Increasingly Isn't Even the Excuse

The numbers, on their face, tell a reassuring story. Employers announced 52,881 job cuts in August, according to outplacement firm Challenger, Gray and Christmas, down 38 percent from a year earlier, and cuts attributed specifically to artificial intelligence fell to their lowest monthly total since December, ending a five-month run in which AI was the single most-cited reason for layoffs. Read one way, the AI jobs panic of the past two years is cooling.

Read another way, the picture looks worse. AI has still been cited in 116,175 job cuts so far this year, about 22 percent of the total and still the single leading reason cited in 2026, even after August's dip. And the companies still cutting are not doing so because they are struggling. Uber announced in early September that it would eliminate roughly 3,300 corporate jobs, about 10 percent of its workforce, despite second-quarter revenue climbing to $14.19 billion from $13.20 billion the previous quarter and net income of $2.44 billion. Chief executive Dara Khosrowshahi told employees the growth itself had become the problem, creating, in language reported by outlets that reviewed his internal memo, "more layers, more coordination" and "more fragmented ownership" than a leaner company would tolerate.

The Trade Desk cut 15 percent of its staff, about 585 people, in what financial trade press described as the largest layoff in the advertising-technology company's history, reorganizing survivors into smaller "pods" meant to move faster and answer to fewer managers. Neither company is contracting. Both are choosing to run leaner, which is a different thing, and a harder one to explain in a press release than "AI took the jobs."

Underneath the layoff announcements, the government's own data point toward the same imbalance. Nonfarm business productivity rose at an annualized 1.4 percent rate in the second quarter and was up 2.2 percent from a year earlier, the Bureau of Labor Statistics reported. Real hourly compensation, adjusted for inflation, fell at a 3.3 percent annualized rate in the same quarter and was essentially flat over the year. Workers, in other words, produced more and were paid the same or less for it. That gap between output and pay is the quiet engine behind this year's corporate reorganizations, whether or not a company's press release mentions artificial intelligence by name.

None of this amounts to the mass unemployment some forecasters warned AI would bring within a year or two. The labor market has not collapsed, and hiring, however slowly, continues alongside the cuts. But the shape of the disruption looks less like a single dramatic wave than a steady drip: a few hundred jobs here, a few thousand there, dispersed widely enough that no single event forces a national reckoning. Analysts who track the Challenger data have taken to calling this pattern "forever layoffs," meaning continuous small reductions rather than headline-grabbing mass events.

That is arguably the more difficult trend to respond to, for workers and policymakers alike. A single large layoff generates news coverage, a visible spike in unemployment claims, and political pressure to act. A slow accumulation of smaller cuts, spread across hundreds of companies and justified in a hundred different ways, generates none of that urgency, even as it adds up to the same erosion of middle-income, white-collar work. If the current data hold, that erosion will likely continue well past whatever headline number appears in next month's Challenger report.