After AI Falls Short, Ford Rehires 350 Veterans to Fix Quality
Published on 07/01/2026 at 17:53 | Redaktion boerse-global.de
The auto industry’s rush toward full automation has hit a speed bump at Ford. The carmaker has brought back roughly 350 seasoned engineers and quality inspectors – a group internally nicknamed the "grey beards" – after computer-vision and machine-learning systems failed to catch manufacturing defects.
The move marks a quiet retreat from an earlier bet that algorithms alone could handle quality control. Ford’s vice-president, Charles Poon, acknowledged the error. “We put too little emphasis on hands-on, practical experience,” he said. Artificial intelligence, Poon noted, is only as reliable as the data fed into it. Without the trained eye of veteran technicians, the automated tools overlooked weak points in production, leading to what the company described as “significant” costs.
Chief operating officer Kumar Galhotra called the overall performance of the automated systems disappointing. The recalled engineers are now tasked with spotting potential flaws before a model enters series production. They also serve as mentors to younger staff and help refine the AI models that remain in place.
Early Returns: Lower Warranty Bills and a Rankings Leap
Ford’s strategy shift is already showing financial benefits. CEO Jim Farley said spending on warranty claims and recalls has dropped noticeably. For the 2026 fiscal year, the company expects savings of roughly $1 billion.
External benchmarks also reflect the change. In the 2026 J.D. Power Initial Quality Study, Ford climbed to first place among mainstream brands – its best showing in 16 years. Overall, across all brands, Ford jumped from tenth to third, surpassing Toyota and Honda. Only premium nameplates Porsche and Genesis are still ahead. Still, the automaker continues to run more than 50 recall campaigns on the U.S. market, a high number by industry standards.
Hybrid Production: Machines Do the Grunt Work, Humans Judge the Edge Cases
Ford is not ditching technology. Instead, it is moving to a hybrid model where AI handles the brute-force analysis of large data sets and human experts evaluate complex borderline cases. The veteran engineers’ judgment is considered essential for keeping the automated processes trustworthy.
Alongside the personnel reinforcements, the company is pushing ahead with modernisation. Around 900 AI-powered camera systems, digital twins, and collaborative robots, known as cobots, are being installed in its plants. The interplay between advanced equipment and experienced workers now forms the core of Ford’s production strategy – an effort to avoid further billions in quality-related losses. Similar rethinking has surfaced recently at firms like Trade Republic and Klarna, though their industries are far from automotive assembly lines.
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