Thriving in an AI era 🔮
summary
Data-backed claims: 93k tech layoffs in 2022, 264k in 2023, 153k in 2024 and 127k in 2025; Harvard Business Review Jan 2026 finds 60% of cuts cite AI potential but only 2% cite actual AI performance and 90% point to business reasons. Concrete tooling: AI agents that loop by writing tests, running Gradle, observing failures and fixing code; mitigation via stricter CICD, linting, static analysis and an agents.md file. Measured harms: correction tax, 19% slower (MITRE 2025), 66% more bug fixes (Stack Overflow), 62% burnout (BCG). Actionable roadmap: be an T-shaped architect, broaden skills, and adopt tooling.
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chapters (19)
- 0:00Welcome
- 2:02AI's impact on jobs
- 3:49Tech layoffs causes
- 5:55AI as scapegoat
- 7:41AI agents and limits
- 9:06Reviewing AI code
- 10:31AI productivity paradox
- 13:23Reducing AI correction tax
- 14:46Future-proof career pillars
- 15:29AI-era architect path
- 18:16T-shaped skills for impact
- 19:22Adaptability for engineers
- 22:10AI opportunities for engineers
- 22:30Junior engineer pipeline collapse
- 25:38Speed vs understanding in AI dev
- 27:02What interviewers want 2026
- 29:47AI in engineering insights
- 31:53Human accountability remains
- 32:54Summary and call to action
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