Report: US Tech Sector Lost Jobs in March as AI Enters Layoff Calculus

The US tech sector lost 15,000 jobs in March, even as the broader economy added 178,000 jobs overall, according to Computerworld’s April 6 reporting on CompTIA’s analysis of Bureau of Labor Statistics (BLS) data. The BLS said the national unemployment rate was 4.3% in March. Together, those figures point to a widening gap between the broader labor market and tech employment, with the sector moving in the opposite direction after gaining 7,100 jobs in February.

Data Shows a Split Labor Market

The March headlines draw on two different labor measures that track different things. CompTIA’s estimate, based on BLS employment data, found the tech sector lost 15,000 jobs in March. Separately, Challenger, Gray & Christmas reported on April 2 that employers announced 18,720 tech-sector job cuts during the month as part of 60,620 total cuts across all industries, up 25% from February. Those figures are related but not interchangeable: one reflects estimated employment change, while the other reflects layoff announcements, which can differ in timing, scope, and alignment with federal labor categories.

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. Challenger also said the tech sector has announced 52,050 job cuts so far in 2026, above the 37,097 recorded in the first quarter of 2025. Computerworld further reported that tech unemployment stood at 3.9%, still below the national rate, but the month-to-month reversal pointed to weaker hiring momentum in IT.

The Role of AI

AI is becoming a more visible part of that story, although the evidence still varies by company and role. Forbes reported on April 2 that Challenger identified AI as the leading employer-cited reason for March layoffs, accounting for 15,341 of 60,620 announced cuts, or about one-quarter of the total. Challenger’s own March report says AI led all stated reasons for cuts that month, ahead of closings, restructuring, and market and economic conditions. Computerworld also reported that analysts expect more losses this year as AI influences staffing decisions and employers seek workers with stronger automation, data integrity, and scalable systems skills.

What This Means for SAPinsiders

AI is becoming part of the language companies use to explain workforce restructuring, which makes it more than a product narrative. For SAP customers, partners, and ecosystem leaders, that turns AI into a cost-structure and operating-model issue as well as a roadmap issue. The significance is not simply that companies are investing in AI. It is that AI is increasingly being tied to decisions about labor mix, development productivity, and where enterprise software firms place their next dollars.

The March data does not point to a collapse in tech demand. It points to a reordering of labor demand inside tech, with pressure on some traditional roles even as employers continue to value automation, systems, and infrastructure skills. For SAPinsiders, that suggests enterprise vendors may keep shifting investment toward AI-adjacent capabilities while reevaluating staffing needs in more conventional software and services functions.

Across the enterprise software market, AI is starting to shape labor strategy as directly as product strategy. Vendors are under pressure to automate internal work, redirect hiring toward higher-value technical roles, and sustain delivery discipline while AI spending rises. That has implications for implementation capacity, support models, partner economics, and the way enterprise platforms are built and maintained.