Quality Was Never Job One

Dear Charles, Kumar, and Jim,

I went back to GM’s Lansing Grand River plant after twenty years. The first person I ran into still remembered my team-leader coaching classes. Then I went looking for Ramon Hernandez.

Ramon had been my team leader on instrument-panel install. There was no better one. I found him working as a material handler, moving parts from one end of the plant to the other. He was cordial. Then he drove away on his tugger, slowly, and I watched him go. He was waiting out his last year before an early retirement.

I thought of him in June, Charles, when you said the thing most executives spend an entire career not saying:

“Mistakenly we thought that by just introducing artificial intelligence and ingesting the design requirements that we had, that that would produce a high-quality product.”

Mistakenly we thought. That is a confession, on the record, from the executive whose job was to be right about this.

Over roughly three years you hired, rehired and promoted about 350 veteran engineers — some former employees, some pulled off supplier benches — the people you call, without irony, your “gray beards.” Their assignment: hunt for failure points before a part ever reaches the plant floor, run the quality reviews, train the younger engineers, and reprogram the very AI tools that had failed them. Kumar, you said the company had been “relying more and more on automated quality systems” and not getting what it paid for.

Jim, you called the result a tailwind: lower warranty and recall costs, “hundreds and hundreds of millions of dollars of a tailwind for Ford on cost.” In June you took the top mainstream spot in the J.D. Power Initial Quality Study — above Toyota, above Honda.

I have spent thirty-six years on factory floors on three continents arguing one idea three ways. Your own numbers now make the case for all three: Augment people, don’t replace them. Capability is the only profit that compounds. Form people to their full capability. Together they say that quality was never Job One. It is the dividend of forming people. That is the argument. The rest of this letter is the proof — and the one move you still haven’t made.

* * *

Augment people, don’t replace them.

Charles, you said the truer thing in the same breath: artificial intelligence “is only as good as the information you use to train it.” You poured your design requirements into the machine and waited for quality to fall out the other end. You left out the one ingredient that was never in the requirements document — the judgment of people who had lived through enough product cycles to know exactly where a part will lie to you.

I have watched one person do exactly what those 350 are now doing. It was Ramon. During the CTS launch at Lansing Grand River, we had a chronic defect — the instrument panel rubbing the door opening as it went in. The easy move was to blame the operator. Ramon did the opposite. He took the blame onto himself, gathered the data shift after shift, and traced the fault back to a tool mechanism on his own team. He found the failure point before it became a warranty claim, and pulled the repair cost off the plant’s P&L. No system handed him that. He had been formed to look.

Ramon was an hourly team leader on a trim line. Your 350 are salaried engineers. The asset is the same.

You kept the AI and put formed humans back on top of it. The gray beards now reprogram the tools. They are the layer that tells the model which failures to look for, because they have met those failures in person. You have the warranty data now.

* * *

Capability is the only profit that compounds.

For a generation, the experience walking out of a plant at retirement has been booked as a cost coming offthe payroll — a salary saved. That is how the ledger sees a gray beard leaving: a line item going to zero, a small win. Your number says the ledger is lying. Those people were not a cost. They were the asset. And the proof is that you had to go and find that judgment again — some of it on supplier benches — to get the quality back.

Divide a “hundreds of millions” tailwind by roughly 350 people and you get — by my arithmetic, not yours, and crediting them with all of it — something on the order of a million dollars a head. It shows up as lower warranty reserves, fewer recalls, a J.D. Power ranking that moves metal off lots. That tailwind is a dividend showing up on the P&L. The asset that pays it is the people, and it appears on no balance sheet. My cousin and co-author Sridhar Ramamoorti has spent his career arguing that our accounting standards can already hold this asset — that the categories exist and we refuse to aim them at the right thing. You just aimed them, involuntarily, and the number came back in nine figures.

You have now written that number down, in public. It compounds whether or not the accounting is brave enough to record it.

* * *

Form people to their full capability.

Kumar, you said something in June more important than the rehiring itself. You said Ford is “moving from a find-and-fix mentality to preventing issues before they occur.” You meant parts — catch the defect upstream, before it reaches the floor, instead of chasing it through a warranty claim.

It is the correct principle. And you applied it to everything except your own people.

You let your most experienced engineers walk out the door. Then, a great many warranty claims later, you went looking for that judgment again. That is find-and-fix applied to human capital — the most expensive version of it that exists. You built a prevention culture for steel and a find-and-fix culture for talent, and never noticed the contradiction.

There is a preventive version. It is the heart of what we are building, and it fits in one sen