At a conference last year, Ford CEO Jim Farley said that artificial intelligence “will replace half of the entire US workforce.” Last week, Ford officials said the automaker had quietly rehired more than 350 of what it internally called “grey beards” over the past three years to help fix ineffective AI quality control systems.
Over the past decade, American automakers have cut more than 20,000 jobs, nearly a 20% reduction in the workforce between Ford, General Motors and Stellantis combined. While Ford hasn’t said how many of those gray-beard rehires were initially fired to make way for AI and how many are coming back from retirement, Farley’s recent statements about automation-driven turnover paint a bleak picture.
Representatives for Ford and the United Auto Workers union did not immediately respond to requests for comment.
Not getting the results you want
“Artificial intelligence is a great tool, but it’s only as good as the knowledge you use to train it,” Charles Poon, Ford’s vice president of automotive mechanical engineering, told reporters last week. “Inadvertently, we thought that just by introducing artificial intelligence and incorporating the design requirements that we had, that would produce a high-quality product.”
Kumar Galhotra, a Ford chief operating officer, was tight-lipped about the realities of AI in manufacturing, saying Ford was “relying too much on automated quality systems and not getting the results it needs.”
More than a simple oopsie, automation problems have been costing Ford billions in warranty and recall costs. A study by iSeeCars, an automotive market and research company, ranked Ford’s latest models among the most recalled vehicles in the industry. Ford’s statements and the rehiring of experienced workers are essentially an admission that jumping into AI has been a big mistake.
Many large companies in almost every aspect of technology and manufacturing have been touting artificial intelligence as an excuse for massive layoffs, often without fully accounting for what is lost when that human element walks out the door. All industries have been pushing uncomfortable numbers to replace human judgment with automated systems, some even backing down from their decisions when the real costs of AI prove to be too high.
Ford CEO Jim Farley has been outspoken about how AI technology will lead to a major reduction in white-collar jobs.
What happens now?
Last week, Ford announced that, for the first time in 16 years, it has taken the top spot among top brands in JD Power’s Initial Quality Survey for 2026, up from 10th last year. The automaker credits the increase, in part, to re-hired graybeard offerings. But before you get too excited about the victory of these modern day John Henrys over the machines that are slated to be replaced, don’t forget what ultimately happened to that traditional hero: He was still taken by the steam engine.
Galhotra said the rehired technicians — some former Ford employees, others drawn from industry suppliers — have been brought back to “hunt for points of failure before a part reaches the factory floor.”
Ford is not abandoning AI. Instead, the returning graybeards are doing two things: training young workers who have never worked alongside those veterans and helping to rebuild data pipelines powered by AI tools.
Essentially, they were brought back to repair and train the automated software systems that replaced them. Ford also says it has built a dedicated 40-person software quality assurance team and is adding more than 100,000 AI-powered automated tests to catch critical cases late in development.
Technology is evolving.
Ford recently read this lesson out loud for a story lesson, but I don’t think it will be the last. There may not always be gray beards to call to save the day.