US Tech Jobs Shrink as AI Skill Demand Rises
A sharp drop in US tech employment in September highlights a shifting job market where overall hiring has slowed but demand for specialized artificial intelligence skills continues to grow.
The US technology sector experienced a notable contraction in September, reversing previous gains amid broader economic uncertainty. According to an analysis by CompTIA, the tech sector lost 10,350 positions in September, which was slightly lower than the 14,700 cuts recorded in August. However, across the entire economy, tech-related roles fell by approximately 6,000, marking a stark shift from the 86,000 jobs added during the previous month. This decline coincided with a broader slowdown, as the US Bureau of Labor Statistics reported only 29,000 nonfarm jobs added nationwide in September, down from 133,000 in August. Tech worker unemployment rose to 3.3%, remaining below the national rate of 4.2%.
Data from Challenger, Gray & Christmas revealed that tech companies announced 10,799 job cuts in September, representing a 77% increase from the 6,103 cuts announced in August. So far in 2026, the tech industry has cut 165,925 jobs, a 54% increase compared to the same period in 2025. Across all sectors, US employers cut 43,281 jobs in September, down from 52,881 in August. Interestingly, artificial intelligence was cited as the reason for only 3,961 of these cuts, or about 9% of the monthly total. This is a shift from earlier in the year; overall, AI has been blamed for 120,136 job cuts in 2026, accounting for 21% of all layoffs.
Despite the overall drop in employment, demand for specific technical expertise remains high. Lightcast data tracked by CompTIA showed 272,040 new IT job openings in September, a 16% increase compared to September 2025. Active job postings requiring AI-related skills reached 349,821, growing by 32,327 postings from August. According to Ger Doyle, regional president at ManpowerGroup, employers are hiring cautiously and strategically, noting that the market is defined "by how precisely they hire."
For tech practitioners, this environment requires a pivot toward highly specialized skills, particularly in AI, as general IT roles face pressure. While standard job postings remain open for an average of 61 days, filling specialized engineering roles now takes about 77 days. This lag indicates that while companies are slow to hire general staff due to rising energy costs and geopolitical instability, they are willing to wait for candidates who possess precise AI competencies.
This is our own summary of reporting by Computerworld AI
