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  • 🔧 Ford's AI layoffs backfire. It cost billions.

🔧 Ford's AI layoffs backfire. It cost billions.

The "gray beards" came back, and so did the No. 1 quality crown.

June 29, 2026

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My fellow AI explorers

Every other week, someone emails me a chart showing AI is about to vaporize half the workforce by Tuesday. Then a story like this lands and reminds me the real world is messier than the slide deck.

This week, Ford basically admitted it bet big on automation, watched its quality fall apart, and rehired the exact veteran engineers it had let walk out the door. Meanwhile, South Korea is throwing roughly a trillion dollars at chips like the gates close next year.

In today’s edition:

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AI

Ford Hired AI to Replace Engineers. It Backfired Badly.

Ford just confirmed it leaned too hard on AI for quality control, and the cleanup ran into the billions.

Over three years it quietly rehired around 350 veteran engineers, the so-called "gray beards," to fix what its automated systems couldn't. The sting, from Ford's own VP of hardware engineering, Charles Poon: they mistakenly thought feeding AI the design requirements would just produce a high-quality product.

  • The trap: Ford's best engineers left before transferring their knowledge into the systems meant to replace them. The AI had no foundation to learn from.

  • The fix: Returning specialists rebuilt the tools to catch defects before parts hit the line.

  • The payoff: Falling warranty costs are now "hundreds and hundreds of millions" of tailwind, and Ford took the top mainstream spot in J.D. Power's 2026 quality study for the first time in 16 years.

The lesson is unglamorous: AI didn't fail because the math broke. It failed because Ford deleted decades of human judgment and realized too late that the people who know when the AI is wrong are the whole game.

And it's a pattern. Klarna and McDonald's both quietly walked back AI-for-humans swaps, too. The asterisk: Ford is still the most-recalled US automaker, though execs call that a trailing number.

🔮 Prediction: Expect a quiet wave of "AI reversal" hires over the next 18 months, rebranded as "human-in-the-loop" so nobody admits round one was a mistake. Tacit knowledge doesn't live in the training data.

Would you trust a car built entirely by AI with zero veteran engineers signing off? Hit reply, I'm curious where you land.

AI in Asia

South Korea Just Bet $1 Trillion on Winning the AI Hardware War

South Korea unveiled a roughly $1 trillion plan for chips, data centers, and robotics, and the message was pure urgency.

President Lee Jae-myung stood between the heads of Samsung and SK Hynix and framed it as a "triple axis" of semiconductors, physical AI, and data centers, saying the country must secure AI's core elements faster than anyone else.

  • The anchor: Samsung and SK Hynix will pour about $518 billion into new fabs in the southwest.

  • The data centers: SK Group, GS, and Naver are lining up $356–500 billion more.

  • Why now: Japan just committed $65 billion to physical AI, Taiwan launched a robotics center, and China keeps spending despite export controls. Standing still isn't an option.

The tension: the opposition says the southwest fab site is regional politics dressed as strategy, and Samsung still trails TSMC badly on advanced nodes. Money buys fabs. It doesn't buy yields.

🔮 Prediction: This accelerates the chip world splintering into national fortresses. The winner won't be whoever spends the most. It'll be whoever can actually staff and run these fabs, because the 2027 bottleneck is people, not capital.

Is a trillion dollars of top-down coordination the smart way to win, or expensive politically placed factories? Reply and tell me.

30-Second AI Play

Pressure-Test Any Decision Like a "Gray Beard"

Ford lost the people who knew when the machine was wrong. Borrow that instinct in two minutes:

  1. Open your AI tool and paste in the decision you're weighing, with real numbers.

  2. Prompt: "You're a 30-year veteran who's seen this exact plan fail. Give me the three ways it goes wrong and what I'm wrongly assuming."

  3. Then: "Now argue the opposite, why it works."

  4. Read both side by side. The gap is where your real risk and edge live.

💡 Pro Tip: The value isn't the answer. It's forcing yourself to read a credible case against your own plan before you commit.

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Other Relevant AI News!

🎵 Tidal will stop paying royalties on fully AI-generated tracks and badge them starting July 15, going after the money, not just the label.

🛡 Palantir and Nvidia are teaming up to bring secure Nemotron models to US government agencies.

🎙 Pocket raised $11M led by Accel for its $129 recording puck, betting people want gadgets over apps.

💸 A New York Times story reports that San Francisco tech salaries keep defying gravity, with AI talent commanding the world's top packages.

⚠️ Microsoft caught a fake "Perplexity" Chrome extension logging users' searches and keystrokes.

Golden Nuggets

  • 🔧 Ford's reversal proves AI works best when calibrated by experts, not replacing them.

  • 🇰🇷 South Korea's $1 trillion bet turns the chip race into a contest of national fortresses.

  • 🎵 The industry is fighting back on AI slop, with Tidal cutting off the royalties that fuel it.

Would love to hear your thoughts! Send me your thoughts by replying to this email (yes, I read them all :)

Until our next AI rendezvous,

Anthony | Founder of Uncover AI