Ford Brings Back More Than 350 Engineers After a Failed AI Bet

Automotive giant Ford has acknowledged that an excessive reliance on automation and artificial intelligence led to a decline in vehicle quality. To fix the situation, the company had to bring back former employees, as well as hire and promote more than 350 experienced engineers whose expertise proved indispensable.

Ford Vice President of Hardware Engineering Charles Poon explained the reasons behind the decision. According to him, management mistakenly believed that simply introducing AI and automated systems would be enough to produce a high-quality product.

“We mistakenly believed we could create a high-quality product simply by implementing artificial intelligence,” Poon admitted.

In practice, it turned out that AI is not capable of replacing the years of experience engineers have. Many of the company’s veterans left Ford before their knowledge could be fully transferred into digital systems. As a result, automated processes began making mistakes that negatively affected vehicle quality and led to an increase in recall campaigns.

To correct the situation, Ford began bringing back former specialists. Their task is not only to train younger engineers, but also to improve the data used to train artificial intelligence algorithms. The company has also formed a separate software quality control team and introduced more than 100,000 automated AI tests, which make it possible to check systems before cars even reach the market.

Despite the fact that Ford continues to deal with the consequences of past problems and remains one of the leaders in the number of vehicle recalls in the United States, the measures taken have already started to pay off. In the latest J.D. Power Initial Quality Study, the company took first place among mass-market automotive brands in initial quality of new vehicles — a significant improvement compared with previous years.

Ford’s story has become a telling example that even the most advanced technologies cannot fully replace human expertise. The company acknowledges that artificial intelligence is effective only when it works alongside experts, not in place of them.