Study: demand for enterprise AI deployment specialists is rising sharply, with few elite experts available

Recruitment firm Christian & Timbers (C&T), in a new study shared exclusively with TechCrunch, estimates that there are only about 2 000 so-called forward-deployed engineers (FDE) in the USA – specialists combining industry knowledge and practical experience in deploying AI who can actually deliver a return on investment for businesses. According to the firm, this is the total number, not the number available. The study also projects that demand for these specialists will increase by 2 100 % by the end of 2026. The data comes from interviews with more than 250 executives at 180 companies, a survey of 80 executives from the Fortune 500, and interviews with more than 300 FDE and applied AI engineers between January and June 2026. According to the study, only 5 to 10 % of companies planned to hire FDE at the beginning of the year, but by the end of the second quarter, that figure had reached 70 %; the largest consulting and services firms report a need to increase their FDE headcount tenfold and build teams of 20 to 100 people. Overall, roughly 17 000 FDE are said to be working in the US market, a substantial proportion of them employed by Palantir, which, according to the article, invented the FDE concept.

C&T founder Jeff Christian says in the article that he has never seen this pace of hiring – including recruitment in the middle of summer. According to him, only a fraction of the available FDE can deliver an actual return on investment in the tens of millions of dollars; examples cited in the source include accelerating business activities or replacing thousands of people processing documents. Chris Taylor, CEO of Ode with Anthropic, adds in the article that many FDE can help deploy Claude Code across a company, but very few can build a core AI feature for a product.

According to Christian, pressure to demonstrate a return on investment is also intensifying because Wall Street is expected to start “punishing” those firms on Wall Street that have invested hundreds of millions to billions of dollars in AI without visible results this autumn, while rewarding companies with a demonstrable return. At the same time, AI companies themselves are under pressure, having invested tens of billions of dollars in training and deploying models, with their profits dependent on adoption of the technology among businesses – something that cheaper open-weight models from China are now helping to drive. This is why OpenAI and Anthropic have established their own deployment units – OpenAI's Deployment Company and Ode with Anthropic – staffed by FDE. According to Christian, however, many businesses in insurance, fintech, healthcare and gaming prefer to build their own internal FDE teams to retain knowledge of their business processes and protect them from competition from the AI companies themselves.

Christian mentions in the source that demand for FDE could shift over the coming years from enterprise AI deployment toward physical AI, such as humanoid robots, and that, in his estimate, the FDE role could disappear entirely within five to ten years if predictions of full automation of agentic systems come true. C&T says it has so far seen no slowdown in hiring in rapidly growing industries, but according to Christian, more general recruitment agencies are already feeling a decline in demand.