AI innovation is accelerating, but most teams can’t keep up. Hiring senior AI engineers now takes 40–50 recruiter hours per role, 44+ days to fill, and up to 26 weeks before reaching full productivity.

As demand for senior AI and software talent surges 3.5x, conventional hiring simply cannot keep up. Prolonged vacancies, talent misalignment, slipping roadmap milestones, and organizational fatigue

In this report, discover how forward-thinking enterprises are overcoming these bottlenecks by shifting from recruitment-heavy models to embedded execution models that deliver AI-native engineers in days—not months.

Your Blueprint to Build at AI Speed: Key Data and Analysis

The Real Cost of Slow Hiring

Why vacancy gaps, churn, and mis-hires drain millions—and why traditional FTE hiring cannot keep up with AI velocity.

The New Model: Execution as a Service

How companies deploy vetted AI-native engineers in under 10 days and achieve up to 10x faster build cycles.

Turing’s Advantage

• Time-to-hire cut from 44 days to 1–10 days
• Time-to-productivity accelerated from 26 weeks to 8–10 weeks
• 97 percent candidate alignment accuracy
• 6.6x ROI on advanced hiring methods
• Up to 2,250 recruiter hours saved per 50 hires

A Proven Blueprint for Scaling AI Teams

Learn how leading enterprises leverage Turing’s 4M+ vetted engineers, 5-hour technical vetting, and 2-week risk-free embed to build at AI speed.

If your engineering bandwidth is slowing down your AI roadmap, this report gives you a clear, data-backed strategy to scale instantly and execute faster than competitors.

Get the report to learn how today’s top teams are shipping breakthroughs—not waiting on hiring cycles.