344
Productivity & Workflow355
Automation & Workflow224
Software Development250
Marketing & Growth192
AI Infrastructure & MLOps174
Writing & Content Creation203
Data & Analytics141
Design & Creative169
Customer Support131
Photography & Imaging156
Sales & Outreach125
Voice & Speech135
Education & Learning131
Operations & Admin87
Ford says it brought back 350 experienced engineers after automated quality systems did not catch enough problems, and it expects lower costs this year.
In short: Ford says it rehired 350 veteran engineers after its AI and automated quality checks did not deliver the product quality it wanted.
Ford executives said the company has hired 350 experienced engineers, including some former Ford employees and others who had been working at suppliers. The hires come after Ford leaned more heavily on automated quality systems and was not happy with the results.
Ford’s chief operating officer, Kumar Galhotra, said the company had been “relying more and more on automated quality systems” with disappointing outcomes. He said Ford brought back technical specialists who “hunt for failure points before a part ever reaches the plant floor.” Think of it like having a very experienced inspector look for cracks and loose screws before a product gets to the assembly line.
Charles Poon, Ford’s vice president of vehicle hardware engineering, said the company mistakenly believed that simply adding artificial intelligence and feeding it design requirements would produce a high-quality product. In this context, AI means software that tries to spot patterns and make decisions, a bit like an automated checker that flags issues without a person looking at every item.
This is a reminder that automated systems do not always replace hands-on experience, especially in manufacturing where small defects can become expensive recalls or frustrating repairs. Ford said the rehired “gray beard” engineers will also help train younger staff and reprogram the AI tools, rather than ending its AI efforts. Ford expects the changes to reduce costs by $1 billion this year, and it recently ranked highest among mainstream brands in the JD Power Initial Quality Survey.
Source: TechCrunch AI