Hey guys, Monday here. The “45,000 tech jobs gone in Q1” headline was everywhere a few weeks ago. But I think we spent too much time looking at the number and not enough time understanding what it actually means — and what comes next. Let me offer a more nuanced take.
What You Need to Know:
- 45,000 tech layoffs in Q1 2026 — but total tech employment is still up year-over-year
- The roles being cut are not the same roles AI is creating
- AI prompt engineering and AI system oversight are emerging as new job categories
- The median AI-related salary is now $185,000 — up 22% from 2025
- The skills gap is real: most laid-off workers can’t simply retrain into AI roles quickly
What the Headlines Get Wrong
The 45,000 number is technically accurate but misleading in isolation. Net tech employment is still positive — the jobs being cut are being partially offset by new AI-related roles that didn’t exist a year ago. The problem is those new roles require different skills than the ones being eliminated, and retraining takes time that companies aren’t giving people.
The roles being cut are also concentrated: customer support automation is eliminating service roles; AI coding tools are reducing demand for junior developer headcount; content moderation is being automated. These are real people with real skills that don’t cleanly transfer to “prompt engineer for a Fortune 500 company.”
What’s Actually Growing
The new AI jobs aren’t what people expect. It’s not “AI engineer” as the dominant new role — that’s still a relatively small category. The bigger growth is in AI system oversight, AI governance, AI training data curation, and AI-human workflow design. These are roles that combine domain expertise with AI literacy — things like “AI workflow designer for legal,” “AI training data specialist for healthcare,” “AI governance lead.”
What Should Companies Be Doing?
The responsible thing — which almost no company is doing — is investing in internal retraining with real timelines. The claim that “we’ll retrain our workers” has been made and broken so many times it’s almost a joke. But the companies that figure out how to actually do it — not as PR, but as genuine investment — are going to have a competitive advantage in a labor market that’s going to get tighter as AI adoption accelerates.
Bottom Line: The 45,000 layoffs are real, but they’re not the whole story. The transition AI is driving in the job market is more complex than “jobs lost vs. jobs gained” — it’s a skill shift that requires real investment in retraining, and right now, that investment isn’t happening at the scale that’s needed.
Are you in tech? Have you seen your company hiring for AI roles while cutting others? What’s the reality on the ground where you work? I want to know if this matches what you’re seeing — drop a comment.