US Tech Sector Lost Jobs in March, AI Enters Layoff Calculations

Key Takeaways

In March, the US tech sector lost 15,000 jobs, contrasting with the overall economy that added 178,000 jobs, indicating a growing disparity within the labor market.

AI has emerged as a significant factor in workforce decisions, being cited in over 15,000 of the announced job cuts, suggesting a shift in job requirements towards skills related to automation and systems.

While traditional software roles are being cut, demand for roles related to AI and automation remains, signaling a reordering of labor needs within the tech sector rather than an overall collapse in tech demand.

The US tech sector lost 15,000 jobs in March, even as the broader economy added 178,000 jobs overall. According to the Bureau of Labor Statistics, the unemployment rate was 4.3%.

The March numbers point to a widening gap between the overall US labor market and the tech sector. Computerworld, citing CompTIA’s analysis of the Labor Department data, pointed out that tech employment moved in the opposite direction of the broader job market given the losses, which come after the tech sector gained 7,100 jobs in February.

March Data Shows a Split Labor Market

The numbers making the headlines are striking. CompTIA’s estimate, based on Bureau of Labor Statistics employment data, found that the tech sector lost 15,000 jobs in March. Separately, Challenger, Gray & Christmas (Challenger) reported 18,720 job cuts in the tech sector during the month, “including cuts from Dell, Oracle, and Meta.”

The figures are related but not interchangeable. One tracks estimated employment change, while the other tracks employer layoff announcements, which can differ in timing, scope, and how directly they map to federal labor categories. Challenger also said employers cut 60,620 jobs in March overall—that is up 25% from the number of cuts in February, but not as high as a year ago.

Within that March decline, the steepest losses came in custom software services and systems design, which shed 13,200 positions, according to Computerworld’s summary of the CompTIA analysis. More broadly, Challenger said the tech sector has announced 52,050 job cuts so far in 2026, ahead of the 37,097 recorded in the first quarter of 2025.

Computerworld also reported that tech sector unemployment stood at 3.9%, below the national rate, but the month-to-month reversal reinforced signs of weaker hiring momentum in IT. Those figures suggest the March slowdown was not confined to a single company or business line, reflecting broader pressure across parts of the tech labor market.

Is AI Responsible?

AI is becoming a more visible part of that story. Forbes reported on April 2 that AI was the leading employer-cited reason for March layoffs, accounting for 15,341 of 60,620 announced cuts. As earlier reporting on Oracle’s job cuts suggests, AI is beginning to show up in headcount decisions across the sector.

Analysts expect more job losses, Computerworld noted, as AI continues to influence staffing decisions and employers seek workers with stronger automation and systems skills. The evidence still varies by company, but the pattern is becoming harder to dismiss.

What This Means for ERP Insiders

AI is becoming an accepted explanation for workforce restructuring. For ERP and enterprise software leaders, that makes AI a cost-structure and operating-model issue, not just a roadmap theme. These labor figures suggest the pattern is broadening beyond any single vendor.

The market is not signaling a collapse in tech demand. It is signaling instead a reordering of labor needs inside tech. That distinction matters for enterprise buyers and partners because it suggests vendors may continue hiring selectively for AI infrastructure, automation, and data roles, even as they cut more traditional software and services positions.

Enterprise AI shapes labor strategy as directly as product strategy. Vendors are under growing pressure to prove they can expand AI capacity, automate internal work, and shift hiring toward higher-value technical roles without losing execution discipline. For the enterprise software market, AI is increasingly becoming a determinant of workforce mix, delivery economics, and investment priorities.