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The returning engineers will help retrain Ford’s AI models using their accumulated knowledge. | Representative image: Wikimedia commons

Ford rehires veteran engineers after AI fails to detect manufacturing, design flaws

The company acknowledged that the technology lacked the human “gut instinct” and practical understanding that comes from years of working on vehicles


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The American automobile giant Ford has rehired around 300-350 veteran quality engineers to identify failure points, review production gaps and retrain its artificial intelligence (AI)-driven quality control systems after its AI systems failed to detect certain design and manufacturing issues.

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The move underscores the continued role of human expertise alongside AI in manufacturing. Ford said the returning engineers, internally referred to as “grey-beard engineers” because of their years of industry knowledge, will work independently from production timelines to ensure quality checks are not compromised by speed or efficiency targets.

‘AI has its limitations’

Charles Poon, Ford’s vice-president of vehicle hardware engineering, admitted that the company’s AI system had limitations. “Artificial Intelligence is a fantastic tool, but it’s only as good as the information you use to train it,” Poon said.

“Over prior years, we didn't pay as much attention as we should have to the experience of our most knowledgeable engineers that have been with us through many product cycles,” he added.

AI meets human expertise

The decision comes even as Ford had aggressively embraced AI across its manufacturing operations. The company had deployed nearly 900 AI-powered cameras, automated inspection systems and machine-learning tools to monitor factories, identify defects and improve production efficiency. However, Ford said the systems lacked the practical judgement and "gut instinct" that experienced engineers develop over years of working on vehicles.

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The returning engineers will now conduct mandatory weekly design reviews, identify potential failure points, mentor younger employees and help retrain Ford’s AI models using their accumulated knowledge.

However, Ford has clarified that it is not moving away from AI. Instead, the company plans to combine artificial intelligence with human oversight, using technology as a supporting tool rather than a replacement for experienced workers.

AI race reshapes workplaces

Ford's decision also comes at a time when automakers are facing growing scrutiny over the increasing use of automation on factory floors. Labour unions have criticised General Motors after the company cut more than 1,000 jobs at its Detroit assembly plant while introducing robotic systems as part of its production strategy.

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The decision also reflects a broader debate over the role of artificial intelligence in the workplace. Across industries, companies are investing heavily in AI while restructuring their workforce, arguing that automation will improve efficiency without eliminating the need for human expertise.

Technology giants including Oracle, Google, Amazon and Meta Platforms have announced major AI investments alongside job cuts. Oracle reportedly cut thousands of jobs globally as it reshaped its operations around AI, while Amazon and Meta have also trimmed jobs as they ramp up spending on artificial intelligence. The companies are expected to invest hundreds of billions of dollars in AI infrastructure and development.

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