AI labor market
Jobs, skills and demand signals — with public data crossed between job portals, GitHub and academic research.
Market signals monitored by VAIA
Data: public job portals + arXiv + GitHub, crossed by VAIA. Period: 2026. Editorial data with ≥3 sources.
Why this matters
Research does not automatically become employment
The 77× gap between computer vision papers and dedicated jobs shows that publication volume does not predict market demand. Professionals betting on niche specialization need to verify that real demand exists before investing years of training.
Mid-level concentration has implications for newcomers
62% of jobs are mid-level — the AI market is in a phase of absorbing professionals with 2-5 years of experience. Junior jobs are rare, and senior roles require differentiated portfolios. Market entry requires a different strategy than other tech areas.
What to track in the AI labor market
- →Which AI skills are growing in job listings — not just "AI" as a category, but PyTorch vs TensorFlow, fine-tuning vs prompting, RAG vs agents.
- →Speed at which "prompt engineer" jobs are being replaced by jobs with deeper technical requirements — maturation signal.
- →AI hiring in non-tech sectors: health, legal, financial — where AI is moving from pilot projects to production.
- →Brazil vs US gap in AI jobs: VAIA monitors the silent hiring of Brazilian talent by global companies.
Related editorial signals
Track the AI labor market
Access VAIA's Market panel for the complete dynamic view: jobs by sector, seniority, location and skills trends.