FUTURE AI Was Supposed to Kill Engineering Jobs, but New Data Suggests They’re the Most Resilient Marina Temki
- Summary: Despite widespread claims that AI would eliminate software engineering roles, hiring data from SignalFire shows the opposite: engineering made up a larger share of new hires and was the most resilient job function in 2025, contradicting the “AI replaced engineers” narrative [TechCrunch]. Companies still cite AI as a rationale for layoffs, but on-the-ground hiring trends don’t match that claim [TechCrunch; Business Insider].
- Key takeaways:
- Engineering hiring share increased vs. other functions, per SignalFire’s analysis of millions of employee records across ~80M companies [TechCrunch].
- The popular layoff narrative blames AI, but hiring data and open-role counts suggest demand for technical talent remains strong [Business Insider].
Follow-up Questions:
1. How did SignalFire measure “resilience” and which roles within engineering were most resilient?
2. Are these hiring trends global or concentrated in specific regions/industries?
3. How have AI coding tools changed engineers’ day-to-day work rather than headcount?
4. What time frame (quarters/years) does the SignalFire data cover?
5. Do companies report different hiring intents vs. actual hires for engineering roles?
Sources
- AI was supposed to kill engineering jobs, but new data suggests they're the most resilient | TechCrunch
- AI was supposed to kill engineering jobs, but new data suggests they’re the most resilient - Faz Business | فاز الأعمال
- AI was supposed to kill engineering jobs — new data suggests they’re more resilient than ever | AI News AI | CryptoRank.io
- This Week’s Awesome Tech Stories From Around the Web (Through June 27)
- AI Was Supposed to Kill Tech Jobs. Instead, Open Roles Are up. - Business Insider
Related questions
- How did SignalFire measure “resilience” and which roles within engineering were most resilient?
- Are these hiring trends global or concentrated in specific regions/industries?
- How have AI coding tools changed engineers’ day-to-day work rather than headcount?
- What time frame (quarters/years) does the SignalFire data cover?
- Do companies report different hiring intents vs. actual hires for engineering roles?