Ford has rehired approximately 350 veteran engineers, drawn both from former employees and supplier staff, after concluding that its growing reliance on automated AI-driven quality systems had failed to meet the company’s standards.
Chief Operating Officer Kumar Galhotra said Ford had increasingly leaned on automated quality systems in recent years, but that the results fell short of expectations, prompting the company to bring back technical specialists tasked with identifying failure points before parts reach the production floor. Charles Poon, Ford’s vice president of vehicle hardware engineering, acknowledged that simply feeding design requirements into AI tools had mistakenly been assumed sufficient to guarantee high-quality output.
Rather than abandoning its AI ambitions, Ford is now deploying these experienced engineers, informally referred to internally as “gray beard” specialists, to train younger staff and refine how the company’s AI tools are programmed and applied across its manufacturing process.
CEO Jim Farley said the shift has already produced meaningful financial benefits, including reduced warranty and recall costs that have contributed several hundred million dollars in cost savings for the company. Ford also recently claimed the top ranking among mainstream automotive brands in this year’s JD Power Initial Quality Survey, reinforcing the company’s case that pairing experienced human judgment with AI tools, rather than relying on automation alone, is critical to maintaining manufacturing quality at scale.
