Ford rehires veteran engineers after AI quality tools fail

Ford Motor Company is reversing course on its quality automation strategy, rehiring approximately 300 veteran engineers after artificial intelligence tools proved insufficient to prevent manufacturing defects. The move comes as Ford leads all U.S. automakers in recalls for the second consecutive year, according to National Highway Traffic Safety Administration data first reported by Bloomberg.

The recall crisis has cost Ford an estimated $1 billion in warranty and material expenses this year alone, not counting regulatory penalties and damage to consumer confidence. In 2025, Ford not only had the most recall campaigns but accounted for more than half of all vehicles recalled in the United States.

The AI experiment that fell short

Ford's quality problems stem partly from an over-reliance on automation without adequate human expertise. "Mistakenly we thought that by just introducing artificial intelligence and ingesting the design requirements that we had, that that would produce a high-quality product," Charles Poon, Ford's vice president of vehicle hardware engineering, told reporters.

The company had deployed 900 AI-powered cameras across its plants last year to detect quality issues and supply disruptions. But the systems lacked proper training from experienced personnel who understood the nuances of manufacturing defects.

Bringing back institutional knowledge

Ford has now hired roughly 300 veteran engineers whose "hard-earned wisdom of decades of design" was previously undervalued. These rehired quality inspectors operate free from daily production schedules, acting as internal auditors who conduct mandatory weekly design reviews to identify potential failure points before parts reach the factory floor.

These experienced engineers are also training both the AI systems and younger employees, creating a knowledge transfer that the company had attempted to bypass with technology alone.

Supplier integration lessons for medtech

Ford has simultaneously overhauled its supplier relationships, a shift that parallels best practices in medical device manufacturing. Instead of addressing problems reactively, Ford now integrates suppliers earlier in the development process for rigorous design validation. This approach drove a 30% reduction in launch issues year over year.

"It's easy to celebrate heroes fixing problems," said Liz Door, Ford's chief supply chain officer. "What we really want is to celebrate zero defects."

Why it matters

Ford's experience offers a cautionary lesson for regulated industries considering AI-driven quality systems: automation tools are only as effective as the expertise used to train them. In medical device manufacturing, where defects can be life-threatening, the temptation to replace experienced quality professionals with AI could lead to catastrophic outcomes. The most effective approach combines technological capabilities with institutional knowledge—not one at the expense of the other.

Ford's quality improvements helped the company achieve its top ranking among mainstream brands in the J.D. Power initial quality study for the first time since 2010, the automaker announced. The company replaced about two-thirds of senior leaders in its industrial system across engineering, supply chain, and manufacturing over the past few years.

These details were first reported by Bloomberg.