Ford Motor Co. has shifted its engineering strategy after discovering that an over-reliance on artificial intelligence led to significant vehicle quality control issues. By hiring, promoting or rehiring 350 experienced technical specialists as part of a sweeping effort, the automaker is moving away from an automated “find and fix” model toward human-led design reviews. According to company leadership, this pivot helped Ford reach the No. 1 spot in J.D. Power’s initial quality rankings among mainstream automakers, a milestone not achieved in 16 years.
Why Did Ford’s AI-Driven Quality Control Fail?
Ford previously assumed that feeding existing design requirements into AI systems would automatically produce high-quality vehicles. Charles Poon, Ford’s vice president of vehicle hardware engineering, told reporters this week that the company mistakenly believed artificial intelligence could replace the nuanced judgment of seasoned engineers. According to Poon, the AI was only as effective as the data used to train it, and the company failed to capture the institutional knowledge of veteran staff before they left the firm.
Ford issued 152 vehicle recalls in 2025, surpassing the previous record of 77 set by General Motors in 2014, according to data from Dealership Guy.
How Is Ford Changing Its Manufacturing Process?
The company has abandoned its passive “find and fix” approach, which identified defects only after they appeared on the assembly line. COO Kumar Galhotra stated that Ford now mandates design reviews led by technical specialists who proactively search for potential failure points. This strategy integrates engineering, manufacturing, and supply chain teams closer together. According to Bloomberg, these specialists are now responsible for mentoring younger staff and refining the data inputs that fuel the company’s automated systems.
What Does This Mean for the Future of AI in Automotive Engineering?
Ford’s recent experience suggests a cooling of the industry’s enthusiasm for full-scale AI automation. While CEO Jim Farley previously suggested that AI could replace half of all white-collar jobs, the company is now prioritizing a hybrid model. The automaker is using AI as a tool for support rather than a replacement for human oversight.
When evaluating tech-heavy industries, look for companies that integrate human subject matter experts into their AI training loops.
Frequently Asked Questions
Has Ford stopped using AI in its vehicle production?
No. According to company briefings, Ford continues to use AI, but it has adjusted its strategy to ensure that experienced engineers provide oversight and verify the data used in automated systems.
What caused Ford’s high number of recalls?
Ford attributes many of its recent recalls to vehicles manufactured over the last decade, according to Business Insider. The company is now using human-led design reviews to prevent similar issues in new models.
Is Ford still the leader in vehicle quality?
Ford recently achieved the No. 1 ranking in J.D. Power’s initial quality ranking among mainstream automakers, marking its first time at the top of the list in 16 years.
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