Ford has rehired more than 300 engineers and several hundred previously dismissed, experienced quality inspectors after artificial intelligence systems used in areas such as quality control failed to perform to expectations, according to reporting by the BBC citing Bloomberg.
What happened
The automaker rolled out AI and automated solutions across multiple areas, notably vehicle quality inspection. In practice, however, the automated systems did not fully replace human expertise. Because of shortcomings in the AI-based tools, Ford brought back a significant number of former employees to cover gaps the technology could not fill.
More than 300 engineers were rehired, and several hundred seasoned quality inspectors who had been let go were also taken back on. These returning workers are now being involved in retraining the systems and mentoring younger staff.
Leadership perspective
Charles Poon, Ford’s vice president for vehicle hardware development, told Bloomberg: “AI is a fantastic tool, but it’s only as good as the data you train it with.” He said the automated tools lacked the practical skills and expertise of the workers who had been dismissed earlier — knowledge that could have been used to improve the technology.
Why it matters
Ford had previously promoted broad adoption of AI across its operations. This development highlights that in some functions human experience remains essential, and that loss of hands-on expertise can undermine automation efforts in quality-critical areas.
By re-engaging experienced staff to help train AI systems and coach newer employees, Ford aims to combine technological tools with human know-how to improve quality control outcomes.
