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Ford’s AI quality reversal
Ford has rehired 350 veteran “gray beard” engineers after its automated quality systems failed to deliver the desired results in vehicle quality control.
“Ford Motor Company has quietly reversed course on its heavy reliance on artificial intelligence for vehicle quality control, rehiring 350 veteran engineers — many of them former employees — after automated systems failed to deliver the expected results”
Ford’s chief operating officer Kumar Galhotra said the company had been “relying more and more on automated quality systems” but found the outcomes disappointing, prompting the reversal.
Charles Poon, Ford’s vice president of vehicle hardware engineering, acknowledged the misstep: “Mistakenly we thought that by just introducing artificial intelligence and ingesting the design requirements that we had, that that would produce a high-quality product.”
TechCrunch reported that Ford brought back technical specialists who “hunt for failure points before a part ever reaches the plant floor,” positioning the engineers as a front-line check before parts arrive on the floor.
Ford said it expects the move to generate $1 billion in cost reductions this year and also claimed the top spot among mainstream brands in the JD Power Initial Quality Survey released this week.
How the “gray beards” are used
Ford’s approach is not a retreat from AI, but a hybrid quality-control system that uses veteran experience to supervise and refine automated tools.
TechCrunch said Ford is using the rehired employees—referred to as “gray beard” engineers—to train younger staff and reprogram AI tools after automated systems failed to deliver the desired quality level.
In the same reporting, Bloomberg’s account of Galhotra framed the change as a shift from relying on automation alone toward bringing back technical specialists to “hunt for failure points before a part ever reaches the plant floor.”
Bitcoin World described that Ford is leveraging decades of hands-on experience not only to hunt for failure points but also to “reprogram and refine the very AI tools that initially fell short.”
The company’s stated goal is to keep AI in the loop while ensuring human oversight can catch subtle failure points before production.
Costs, surveys, and what’s next
Ford said the rehiring effort is already “paying off,” with the automaker anticipating $1 billion in cost reductions this year alone alongside a claimed improvement in quality outcomes.
“Ford is bringing back veteran engineers after a costly experiment with artificial intelligence fell short of expectations”
Bitcoin World said Ford claimed the top spot among mainstream brands in the JD Power Initial Quality Survey released this week, framing the survey as validation of renewed focus on human-led quality assurance.
TechCrunch reported that Ford executives said they have hired 350 veteran engineers after artificial intelligence and automated systems failed to deliver the desired quality level, linking the survey claim to the quality-control turnaround.
The Tech Buzz version of the story emphasized Ford’s candid admission that it made a critical mistake believing AI could replace decades of hands-on engineering expertise, quoting a Ford representative: “Mistakenly we thought that by just introducing artificial intelligence that would produce a high-quality product.”
Across the accounts, Ford’s next step is to keep AI plans in place while using the rehired engineers to train younger staff and reprogram automated systems that previously fell short.
