Ford has made a triumphant return to the top of the JD Power quality rankings after 16 years of humiliating decline, but this success isn’t a victory for algorithms—it is the result of recognizing their limitations. The automaker learned the hard way that total automation without human oversight turns an assembly line into a generator of costly recalls. According to Charles Poon, VP of hardware engineering, the company naively assumed that AI and software alone could guarantee a flawless product. Reality proved harsher: automation systems are only as reliable as the depth of expertise possessed by the people configuring them.
Lost Memory
The pursuit of digital efficiency turned into a disaster when Ford allowed veteran engineers to leave before their experience could be digitized. As a result, "institutional memory" simply evaporated. To stop the degradation, the company had to urgently hire, promote, or literally pull back from retirement more than 350 seasoned specialists. Now, these "guardians of knowledge" are handling what the much-hyped software failed to do:
They are retraining AI models that consistently missed defects before they reached serial assembly. Specialists are implementing new control protocols across supply chains. Engineers are restoring the link between virtual design and physical manufacturing.
"It is the human eye that spots a problem in its infancy, while automation blindly follows the—often incomplete—parameters programmed into it," emphasizes Charles Poon.
A Bitter Lesson in Efficiency
COO Kumar Galhotra is now restructuring the entire chain—from software to supplies—through rigorous human validation. This serves as a cold shower for fans of "lights-out manufacturing." The attempt to replace decades of engineering intuition with lines of code created a competency deficit that cost Ford more to fix than any potential savings on payroll. Currently, Ford still leads the industry in vehicle recalls—the ultimate proof that no "black box" can explain why a car is falling apart as clearly as a grey-haired engineer with a wrench.