Ford Fired Its Best Engineers, Let AI Take Over, Then Brought Them Back

Ford Motor Company issued a record 94 vehicle recalls in a single year after mistakenly assuming artificial intelligence could replace seasoned engineers without encoding their expertise. The automaker has since rehired or promoted over 350 experienced engineers, created a 40-person software quality assurance team, and added over 100,000 AI-powered tests to fix quality issues. Ford now ranks first among mainstream automakers in JD Power's initial quality survey after admitting AI needed human oversight.

Ford https://www.ford.com/ ‘s experiment in unsupervised automation produced 94 recalls https://finance.yahoo.com/news/ford-forced-recall-popular-vehicle-153700550.html in a single year and a hard lesson: AI inherits ignorance when seasoned engineers leave before their expertise is encoded. The company now openly admits it believed introducing AI and tweaking design requirements would automatically produce better vehicles. It didn’t. Ford currently leads the US auto industry in recall count — hitting a record 94 in a single year, according to Business Insider — the most safety bulletins any major automakers https://www.gadgetreview.com/tesla-under-investigation-for-major-traffic-violations have ever issued in one calendar year. The twist? Ford just ranked No. 1 among mainstream automakers in JD Power’s initial quality survey. Getting there required admitting the robots needed adult supervision. The Confidence That Cost Them Ford’s quality collapse traces back to a single miscalculation: assuming AI could absorb decades of engineering expertise without the engineers. Ninety-four recalls. Hundreds of millions of dollars. Charles Poon, Ford’s VP of vehicle hardware engineering, told The Verge the company “mistakenly” thought AI plus adjusted design requirements would produce high-quality products. What actually happened: seasoned engineers https://www.gadgetreview.com/german-engineers-just-gave-aircraft-bird-like-morphing-abilities walked out before their decades of knowledge could be encoded into automated workflows. The AI inherited ignorance, not expertise. Think of it like training a sous chef exclusively on recipe PDFs — technically correct, completely lacking the instinct that keeps the food from tasting like a hospital cafeteria. - Ford led the US auto industry in recalls, issuing a record 94 in a single year, costing hundreds of millions 350+ experienced engineers hired, promoted, or brought back — including retirees — to mentor staff and retrain AI systems- A new 40-person software quality assurance team created, focused solely on prevention - Over 100,000 new AI-powered tests added to stress software under edge-case scenarios - Factory vision tools AiTriz and MAIVS now catch millimeter-scale misalignments using video streams and smartphone images “Ford ‘mistakenly’ believed that simply introducing AI and adjusting design requirements would produce a high-quality product.” — Charles Poon https://www.theverge.com/transportation/956316/ford-quality-jd-power-ranking-ai-automated-mistakes , Ford VP of Vehicle Hardware Engineering, according to The Verge. If you’re considering a Ford https://www.gadgetreview.com/what-car-really-costs-less-gas-vs-diesel-vs-electric — or any vehicle with driver-assist tech — the pattern extends well beyond the factory floor. COO Kumar Galhotra described scrapping the old “find and fix” philosophy, which essentially meant hoping customers would report your bugs before regulators did. The NTSB investigated two fatal 2024 crashes involving Ford’s BlueCruise hands-free system and found the system allowed disabling automatic emergency braking while permitting speeds 20 mph above posted limits, according to the NTSB press release https://www.ntsb.gov/news/press-releases/Pages/NR20260331.aspx . Driver overreliance contributed to both crashes. That’s not just a manufacturing problem — it’s a systems-design problem wearing a automaker https://www.gadgetreview.com/dealers-keep-recommending-a-300-fuel-filter-that-your-car-probably-doesnt-need badge. AI Isn’t Going Away — It’s Getting a Babysitter Ford is doubling down on AI investment while fundamentally reframing what the technology is supposed to do. Ford https://www.gadgetreview.com/fords-worst-nightmare-slates-new-24000-ev-truck-just-got-180000-reservations isn’t retreating from AI. It’s actively hiring ML engineers, building LLM-powered supply chain tools, and deploying generative AI across manufacturing workflows. The reframe is subtler than a rollback: AI as amplifier, not replacement. Factory engineers told Business Insider that camera tools like AiTriz and MAIVS are designed to assist workers, not displace them. It’s the industrial AI version of a GPS that still expects you to know what a stop sign looks like — powerful beyond question, genuinely dangerous without guardrails and a human who knows when to override it. “Stop admiring the problem and start solving it.” — Kumar Galhotra https://www.theverge.com/transportation/956316/ford-quality-jd-power-ranking-ai-automated-mistakes , Ford COO, according to The Verge. Every automaker https://www.gadgetreview.com/most-unreliable-european-car-engines-ever-mass-produced , hospital system, and aviation company watching Ford right now is watching the same lesson crystallize in real time. The question was never whether AI works. The question is whether anyone remembers what to do — and who to call — when it doesn’t.