Ford Brings Back Human Engineers as AI Quality Checks Fall Short

Ford Motor Company has rehired over 300 veteran quality inspectors in recent years, reversing its earlier push to replace human expertise with artificial intelligence in manufacturing processes.

The automaker initially adopted AI-powered systems across various operations, including quality control, aiming to reduce costs and improve productivity. The company deployed 900 AI-powered cameras throughout its facilities to identify quality issues at the source and minimize supply chain disruptions.

However, Ford executive Charles Poon, vice president of vehicle hardware engineering, acknowledged that the AI systems did not meet expectations. “Artificial intelligence is a fantastic tool, but it’s only as good as the information you use to train it,” Poon stated.

He explained that the company failed to adequately leverage the knowledge of experienced engineers who have been with Ford through multiple product cycles. “Mistakenly, we thought that by just introducing artificial intelligence and ingesting the design requirements that we had, that would produce a high-quality product,” Poon said.

Ford is among many companies adopting AI amid enthusiasm over its potential to improve profit margins. While AI has shown promise in various applications, Ford’s experience highlights limitations in fully automated quality assessment systems.

CEO Jim Farley previously noted concerns about AI’s impact on white-collar employment, while COO Kumar Galhotra emphasized the ongoing deployment of AI across Ford’s industrial systems in October earnings calls.

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