The FDE boom can't change the AI value narrative by itself.

This past Sunday, The Information reported that U.S. companies posted more than 4,000 new listings for Forward Deployed Engineers in the first half of 2026. 3x 2025. 40x 2024.

This buildout of the FDE industrial complex is a response to the litany of studies on the rising cost of AI with little value to show for it. Couple that with the shift in the "AI subsidy era," and it's easy to see why so many platforms are spinning up FDE programs.

OpenAI built a company for it, DeployCo, with private equity behind it and plans to hire thousands. A week earlier Anthropic launched a near-identical venture with its own consortium. Google Cloud is hiring hundreds for Gemini. AI-native startups like Cursor and FLORA have rolled out their version of the FDE.

In the piece from Laura Bratton and Kevin McLaughlin, Bain Capital's Max de Groen acknowledged not all FDEs are created equal, and that DeployCo, in which Bain & Company Capital is a co-lead investor, runs "rigorous assessments and testing" of its potential FDEs.

The challenge isn't assessments and recruitment. It isn't that there are a finite number of FDEs with Palantir experience floating around the job market. It's that a people solution scales linearly. Every platform ends up constrained by the number of forward-deployed bodies it can throw at a client's problems.

What this foreshadows is an FDE arms race that plays out like the one for AI researchers in 2025 and early 2026. The brands with deep pockets and gravitational pull take the scarce talent first. The OpenAIs and Anthropics, the McKinseys and BCG Xs get the experienced FDEs, the ex-Palantir. The Adobes and Salesforces of the world are left scrambling.

But FDEs are not AI researchers. It's not that they aren't valuable. It's that the AI value challenge isn't an intelligence problem. It's a systems issue. A good system takes scarce talent and gives it scaffolding that can up-level teams, offload execution constraints, and generate scalable value across both client and product. Forward Deployed Engineers are the role. Forward Deployed Systems are how AI-native value truly scales.

The FDE boom can deploy AI. But it cannot deliver the AI value by itself. That takes a system that compounds where each deployment learns, and no client starts from zero.