Ford Had to Rehire Veteran Engineers After Its AI Flopped. Other Employers Should Take Notice

Source Domain: www.cnet.com

Ford CEO Jim Farley has stated that AI will drastically reduce white-collar jobs in the US, predicting AI could replace up to half of such roles.
Ford has rehired over 350 experienced “gray beard” engineers to address quality control issues in their AI systems, after initial AI implementations did not yield desired results.
The automaker has cut more than 20,000 jobs over the last decade, but the exact link between these job cuts, AI adoption, and the rehiring of experienced staff is unclear.
Ford’s reliance on automated quality systems has led to high warranty costs and recalls, leading to an admission that the early adoption of AI was premature.
Ford has made significant improvements in vehicle quality, ranking first in JD Power’s 2026 Initial Quality Survey, attributing part of this success to the rehired veteran engineers.
The AI-driven quality systems are being supplemented by the veteran engineers who are now training new staff and updating the data pipelines used by AI tools.
Ford continues to use AI but has built a dedicated software quality assurance team and increased automated testing to improve system reliability.
The situation is emblematic of broader trends in tech and manufacturing, where companies are beginning to realize the challenges of replacing human judgment with automation.

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