Ford Motor Company is bringing back experienced engineers, dubbed "gray beard" engineers, to improve vehicle quality after AI and automated systems did not meet expectations. Executives admitted that over-reliance on AI for quality control led to disappointing results. These veteran engineers will not only hunt for failure points but also train younger staff and reprogram the AI tools, a strategy that has already contributed to an anticipated $1 billion in cost reductions and helped Ford top the JD Power Initial Quality Survey. AI
IMPACT Highlights the current limitations of AI in complex quality control and the continued importance of human expertise in manufacturing.
RANK_REASON Article discusses a company's use of AI in product development and quality control, and a strategic shift involving human expertise, but does not announce a new AI model, research, or significant industry-wide policy change.
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