Ford has hired 350 experienced engineers after concluding that artificial intelligence and automated quality systems alone could not consistently deliver the high manufacturing standards the company expected. The move reflects a renewed focus on combining human expertise with advanced technology to improve vehicle quality.
Company Chief Operating Officer Kumar Galhotra said Ford had increasingly relied on automated quality systems, but the results did not meet expectations. As a result, the company brought back veteran technical specialists to identify design flaws and manufacturing issues before parts reached the production line.
Ford Vice-President of Vehicle Hardware Engineering Charles Poon acknowledged that the company had overestimated what artificial intelligence could achieve on its own. He said simply providing AI systems with design requirements was not enough to produce consistently high-quality vehicles without experienced human oversight.
Rather than reducing its investment in artificial intelligence, Ford is using its veteran engineers to strengthen the technology. The experienced specialists, known internally as “gray beard” engineers, are mentoring younger employees while helping refine AI systems to improve their accuracy and decision-making capabilities.
The strategy has already produced encouraging results for the automaker, with lower warranty claims and reduced recall costs saving the company hundreds of millions of dollars. Ford also secured the top position among mainstream vehicle brands in this week’s JD Power Initial Quality Survey, highlighting the impact of combining human expertise with artificial intelligence.