The new hiring challenge: identifying AI-ready engineers
AI has boosted engineering productivity, with leaders estimating a 34% average productivity lift. Leading organizations are evolving their hiring processes with human-led, AI-native interviews that evaluate how engineers collaborate with AI in real workflows.
Key findings from the report:
average estimated productivity increase for engineering organizations using AI.
of leaders say top engineers are now worth 3x their total compensation.
say weak engineers deliver zero or negative value.
Download the full report to access exclusive data on:
AI engineering productivity: How AI is driving productivity and why top engineers deliver exponentially more impact.
Global AI Readiness: Why China is outpacing the U.S. in AI adoption, and what global tech and FinServ leaders can learn.
Workforce transformation: How CIOs and CTOs are redesigning teams, workflows, and hiring models for a human + AI world.
Skills of the future: The AI-native capabilities that now define top engineers, from prompt engineering to AI orchestration.
Hiring for AI skills: How leading companies are adapting assessment and interview processes to reliably identify AI-ready talent.
Report
2026 AI Workforce Transformation Report

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