Ford Motor Company has rehired 350 veteran technicians after a recent experiment with artificial intelligence (AI) in quality control proved unsuccessful. The American automaker originally implemented 900 AI-powered cameras across its plants with the goal of detecting product quality issues more efficiently. However, the company found that the AI systems struggled due to limitations in their training data and lacked the depth of institutional knowledge and troubleshooting skills possessed by experienced human workers.
The rehired technicians, often referred to within the company as “greybeards,” are now tasked with training younger employees as well as the AI tools themselves. This move comes amid a broader reduction in Ford’s workforce, which has shrunk by about 5,000 employees since 2020. Despite widespread expectations that AI will displace many jobs—in particular, white-collar roles—Ford has acknowledged that human expertise remains critical to maintaining high-quality output.
Charles Poon, a vice president at Ford, noted that the company had underestimated the complexity of replacing human judgment with AI. “Mistakenly, we thought that by just introducing artificial intelligence and adjusting the design requirements that we had, that that would produce a high-quality product,” Poon said. The company has historically faced some of the highest recall rates in the U.S. auto industry, but since reinstating its veteran workforce, Ford achieved the top position in an industry quality index—the company's best ranking since 2010.
Ford CEO Jim Farley previously stated that AI is expected to replace close to half of all white-collar jobs in the United States, highlighting ongoing concerns about the future of the workforce amid increasing automation. However, recent developments at Ford suggest that the expertise of senior workers, particularly in areas requiring leadership, decision-making, and team-building skills, remains highly valued. A report from professional services firm PwC supports this view, indicating that experienced employees will command greater premiums on their skills despite growing automation.
Ford’s experience underscores the challenges faced by industries seeking to integrate AI technologies into complex manufacturing environments. It illustrates the limitations of current AI applications and the continued importance of human knowledge in ensuring product quality and operational efficiency.