Ford rehires 350 engineers to correct AI mistakes

Ford has quietly walked back a major AI bet, rehiring 350 experienced engineers after discovering that its automated systems simply could not replicate the judgment of veteran workers. The automaker’s vehicle hardware engineering chief, Charles Poon, acknowledged to reporters that the company had mistakenly assumed it could swap in artificial intelligence and still deliver a high-quality product. The admission, first reported by The Verge, arrives just as Ford claimed the top spot among mainstream brands in JD Power’s initial quality ranking for the first time in 16 years.

Poon explained that the core issue was not a broken AI system, but a broken knowledge transfer process. Experienced workers departed before their decades of institutional know-how could be encoded into the training data meant to replace them. Without that deep engineering judgment, Ford’s automated tools amplified weak inputs instead of catching design flaws. To fix the gap, the company brought back, hired, or promoted 350 seasoned engineers.

Poon offered few specifics on why those workers left, but the larger context is clear. Ford has cut roughly 5,300 salaried positions since its 2020 employment peak, part of a broader contraction across Detroit’s automakers that has eliminated more than 20,000 white-collar jobs. CEO Jim Farley has publicly predicted that AI “is going to replace literally half of all white-collar workers in the US,” a forecast that his own company’s quality crisis now complicates.

The returning engineers were tasked with three critical roles: mentoring junior staff, rebuilding the data pipelines that feed Ford’s AI training, and refining the automated systems they were originally supposed to replace. Ford also created a dedicated 40-person software quality assurance team and added more than 100,000 AI-powered automated tests to catch edge cases and revalidate software changes late in development.

The effort paid off. Ford topped JD Power’s 2026 initial quality study, which tracks problems reported by owners in the first 90 days of ownership. The automaker scored 152 problems per 100 vehicles, beating Nissan and Buick. The F-150, Mustang, and Super Duty each won best in segment for the second year in a row.

The quality win does not erase a more troubling record. Ford leads all US automakers in recalls this year, issuing 51 so far in 2026 covering more than 11 million vehicles, more than double the next-closest manufacturer. It also joins a growing list of companies learning that removing human judgment from AI-driven workflows creates problems the technology cannot fix on its own.

The episode unfolds as AI companies and policymakers scramble to understand what the transition means for workers. OpenAI, Anthropic, Amazon, and Microsoft recently backed RAISE US, a $500 million nonprofit led by former commerce secretary Gina Raimondo to retrain American workers for the AI economy. Ford’s experience suggests the harder challenge is not retraining, but knowing which workers you cannot afford to lose in the first place.