Ford learned the hard way that AI can't replace experienced engineers

Ford discovered that deploying AI in its engineering and manufacturing processes without preserving experienced engineers' knowledge led to quality failures and increased recalls. Critical institutional knowledge was never captured in the datasets powering its AI systems, leaving dangerous gaps. To fix this, Ford rehired over 350 veteran engineers to rebuild those datasets and created a 40-person software quality team, using AI as a support tool rather than a replacement.