Crunchbase guest essay calls the FDE boom a "people-market fit" bubble dressed as software ARR
Airrived CEO Anurag Gurtu argues that nine-figure AI rounds funding armies of forward deployed engineers are selling services at software multiples, and that the test is whether the product still works if you pull the embedded engineer out.
In an October 19 Crunchbase News guest essay, Anurag Gurtu, co-founder and CEO of Airrived, attacks enterprise AI fundraising that leads with "autonomous" and "agentic" copy while the real spend goes to forward deployed engineers who sit inside customer offices and hand-build the workflows the product promised.
He frames the model as sell a platform, discover it does not run alone, send in FDEs, book the work as ARR, and raise again. Citing OpenAI's DeployCo deployment joint venture and FDE posting growth of roughly 800–1,000% year over year (Lightcast via Fortune; FT/PYMNTS; Indeed), he says total U.S. FDE comp is pushing past $300,000, with Anthropic and OpenAI base bands in the high six figures, and calls the staffing surge "a payroll with a pitch deck," not operating leverage.
His tell for buyers and investors: if you remove the embedded engineer tomorrow, does the customer still get what they paid for? If not, the firm has people-market fit, which cannot earn software multiples because every new logo adds headcount. Software ARR should get cheaper to deliver at scale; human-powered ARR does not.
The piece matters for FDEs because interviewers and CFOs are starting to ask the same margin and cost-per-deployment questions. Candidates who can show work that left the customer able to run without a permanent embed—and that fed patterns back into the product—are better positioned as the "fine print" gets read.
Source: news.crunchbase.com