Christian & Timbers pegs the total number of U.S. engineers with deep sector knowledge plus hands-on applied AI chops at just 2,000. That pool must serve every enterprise racing to turn AI experiments into real revenue gains. Demand for forward-deployed engineers—FDEs who embed with clients to build and roll out AI systems—is exploding. According to C&T’s research, enterprise plans to hire FDEs jumped from under 10% in January to 70% by June. Major consultancies are scrambling to staff 20-to-100-person FDE teams, projecting a 2,100% surge in demand by year’s end. ROI expectations are sky-high. C&T defines “elite” FDE impact as tens of millions in bottom-line lift, whether that’s automating thousands of document reviews or supercharging lead generation. Palantir still dominates the FDE market—some clients even buy its software just to tap its engineers. Startups like Ode with Anthropic and OpenAI’s Deployment Company are doing the same, hiring FDE squads to push their models into insurers, banks, hospitals and beyond. Yet many firms now prefer to build in-house FDE muscles, guarding proprietary workflows from AI vendors that could turn into competitors. Christian warns that FDE demand might peak sooner than expected. He predicts automation or AI-built “agent agents” could supplant human deployers in the next few years. In the medium term, companies will pivot FDEs toward “physical AI,” integrating robots on factory floors. But five to ten years down the line, the whole role could vanish. For now, though, every hiring search firm he knows is flooded with FDE requests—just not enough engineers to fill them.