Tech layoffs hit scale
The tech sector cut nearly 80,000 jobs in Q1 2026, with roughly half of the reductions tied to AI-related restructuring. That concentration means entry-level roles and women have been disproportionately affected, changing how early-career hiring and internship markets behave (tomshardware.com). For PM hopefuls, the result is a tighter, more selective market where demonstrable execution—side projects and measurable impact—matters more than broad interest statements (techradar.com).
Nearly 80,000 tech jobs disappeared in the first quarter of 2026, and reports tying about 37,600 of those cuts to artificial intelligence make this wave different from the old “we hired too fast” layoffs of 2022 and 2023. The cuts were tracked across January through March, with the heaviest concentration still landing in the United States. (layoffs.fyi) (tomshardware.com) (techspot.com) This is not just companies shrinking. It is companies swapping one kind of worker for another, cutting recruiters, coordinators, support staff, and junior roles while spending more on artificial intelligence engineers, data infrastructure, and automation tools. (tomshardware.com) (hbr.org) That shift hits the bottom rung first. The National Association of Colleges and Employers said hiring for the Class of 2026 looks flat, and employers are putting more weight on internships, hands-on experience, and career-readiness skills than on general interest or classroom credentials alone. (naceweb.org) Internships are still growing, but the mix is changing. The same employer survey says companies expect to hire 3.9% more interns in the 2025-26 cycle, which means students are competing for openings that increasingly function like extended tryouts instead of broad training programs. (naceweb.org) Women are getting squeezed from two directions at once. World Economic Forum reporting in 2025 said generative artificial intelligence is widening existing workplace gender gaps, with women more exposed to disruption and still underrepresented in the higher-paid artificial intelligence roles companies are adding. (weforum.org 1) (weforum.org 2) That helps explain why early-career hiring feels harsher even when job boards still look busy. There are hundreds of thousands of listings with “artificial intelligence” and “intern” in the title on Indeed, but many of them ask for specific tools, prior project work, or graduation windows that screen out first-time applicants. (indeed.com 1) (indeed.com 2) Product management is a clear example. Entry-level product manager openings still exist, but many are now tied to narrow domains like memory chips, business software, or internal artificial intelligence tools, which pushes candidates to show they have already shipped something instead of just saying they are “interested in product.” (indeed.com) (builtin.com) That is why student side projects and measurable outcomes suddenly carry more weight. In a market where employers can choose from laid-off mid-career workers, interns with prior experience, and new graduates all at once, a demo, a prototype, a growth metric, or a launched feature works like proof of work. (naceweb.org) (github.com) The bigger change is that tech is no longer hiring juniors first and figuring out the org chart later. In early 2026, many companies are doing the reverse: locking in expensive artificial intelligence bets, then rebuilding teams around fewer people who can operate at full speed on day one. (layoffs.fyi) (hbr.org)
