First FDE practitioners report real AI deployment demand but chaotic pricing

According to a report by Leiphone on November 2, 2026, the first cohort of Field Deployment Engineers (FDE) working on AI deployment is navigating a market defined by strong demand but chaotic pricing. The report mentions an FDE named Shilong, who resigned from a consulting firm before the National Day holiday—a thought that had already occurred to him during his first week on the job. He soon joined a second company and had no intention of leaving the FDE field altogether. Gao Feng, who started his own FDE venture two months ago, noted that the biggest takeaway from two months of hard work is that making money is exhausting and the market is in disarray.

The report points out that this chaos is evident in pricing, as no one can clearly define what AI deployment is actually worth. Some FDEs have already rejected four requests this year simply because each only offered a budget of 3000, which wouldn't even cover the Token costs, forcing them to protect themselves by turning down work. However, others are willing to tackle difficult projects even if it means paying out of their own pockets; eager to build a portfolio of respectable cases for future business, they accept highly unreasonable budgets. At the same time, while some have secured million-level contracts, others only receive enough money to purchase WorkBuddy accounts or modify data interfaces, showing that the FDE delivery work itself does not command a high price. Citing industry practitioners, Leiphone summarizes the current situation: the demand is genuinely there, but so is the exploitation of free labor. The report concludes by describing a market flooded with new FDEs but lacking established standards, where the first generation of FDEs is struggling to survive amidst the chaos.