AzScorpion
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AI is already causing more trouble than it’s worth in some areas. Ford underestimated the value of these engineers so now Ford has to hire back over 350 experienced engineers to fix AI’s mistakes. Who didn’t see this coming? 
https://www.breitbart.com/tech/2026...-former-engineers-to-fix-errors-caused-by-ai/
https://www.breitbart.com/tech/2026...-former-engineers-to-fix-errors-caused-by-ai/
The Verge reports that Ford has revealed that its reliance on artificial intelligence and automated systems in vehicle production and design created significant quality problems, forcing the company to bring back experienced engineers and technicians to correct mistakes made by its robots.
Charles Poon, Ford’s vice president of vehicle hardware engineering, explained during a briefing with reporters this week that the automaker believed simply introducing AI and adjusting existing design requirements would automatically yield high-quality vehicles. “Mistakenly, we thought that by just introducing artificial intelligence and adjusting the design requirements that we had, that that would produce a high-quality product,” Poon said.
The problem was compounded when some of Ford’s most experienced personnel departed before their accumulated institutional knowledge could be fully captured by the company’s automated systems. This loss of expertise proved particularly damaging because the effectiveness of AI depends entirely on the quality of data used to train the models. Ford had underestimated the value of veteran engineers who had worked through multiple vehicle-development cycles and possessed deep understanding of potential problems that could emerge during production.
To address this gap, Ford hired, promoted, or brought back more than 350 experienced engineers to rebuild its technical expertise base. These seasoned professionals were tasked with retraining the automated systems and mentoring younger engineers who were struggling to maintain vehicle quality standards. “That’s where some of our most experienced engineers have had experience solving and identifying those problems before they creep into the system,” Poon said.
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