The 100 Product Managers Who Changed the World · No. 4 | Sam Altman: His Real Product Was Never ChatGPT — It's OpenAI Itself

Start with what Sam Altman spent this week doing.

On July 9 he sat down in CNBC’s studio and admitted that OpenAI had gone “back and forth on a lot of changes” with the Trump administration to put GPT-5.6 in front of the public — in his own words, a round of “collaborative back-and-forth” with Commerce Secretary Lutnick and Treasury Secretary Bessent. That same week, the Financial Times reported that he had offered roughly 5% of OpenAI’s equity to a U.S. sovereign wealth fund (he later walked it back, saying the report had “a lot of inaccuracies”). A few days before that, he personally published a pitch for an idea: an “American-led international AI forum” that would set standards, do risk assessments, and decide which countries get access to the technology.

Lay the week out flat: the CEO of a consumer product company spending his time on the Treasury Secretary, sovereign funds, and international forums — not on product iteration. When those new GPT-5.6 models went live, the hardest product metric he offered was “54% more token-efficient on agentic coding tasks” — one line, in passing.

This isn’t neglecting the day job. This is exactly the key to understanding Altman.

When I had Claude score the 100 product managers who changed the world, Altman came in at No. 4, overall OVR 96. But spread his six dimensions out and one number jumps off the page:

Vision 97 · Insight 92 · Taste 87 · Business 96 · Scale 98 · Originality 98 — overall 96. Taste 87 is the only one of the six that didn’t clear 90.

This piece starts from that 87.

Scale 98 and Originality 98: he built the fastest-adopted product in history

Start with his two highest scores — the two he earns close to full marks on.

Scale isn’t up for debate. ChatGPT has 900 million weekly active users and monthly actives past a billion — it’s the technology product that raced fastest to 10 million, fastest to 100 million, and looks set to be fastest to a billion weekly. No runner-up. When an ordinary person on Earth today says “let me go ask AI,” nine times out of ten they mean his chat box. Taking something that used to sit inside a paper, legible only to researchers, and turning it into an everyday thing all of humanity reaches for — that alone is a peak in the history of product.

Originality gets a 98 too. What’s genuinely original isn’t the model — the Transformer behind GPT is a Google paper, and he didn’t discover the scaling laws single-handedly either. What he originated is something more counterintuitive: running a research institute as a product company. Before him, “AI lab” and “consumer product company” were two different species; he was the one who wrenched a nonprofit research organization into a product machine that swallows billions of dollars a month and spits out billions in revenue. Nobody had made that road work before.

Business 96: what he’s really selling was never just subscriptions

Business gets a 96, nearly shoulder to shoulder with his idol Jobs (97). But the two men’s business talents look nothing alike.

The numbers first: OpenAI’s annualized revenue crossed $25 billion back in February and now runs around $2 billion a month — the bulk is ChatGPT subscriptions at roughly $17 billion, the API at about $6.5 billion, and Sora video plus licensing at about $1.5 billion. The March round set the valuation at $852 billion, making it the second most valuable private company in the world, behind only SpaceX. In May it filed its S-1, aiming for a September IPO at a target valuation between $852 billion and a trillion.

But that still isn’t the sharpest edge of his business ability. His most devastating move is turning “fundraising” itself into a product. A company still burning cash, with profitability nowhere in sight, and he can pull in commitments in the hundreds-of-billions range in a single round — not on the strength of a financial model, but on a narrative that “artificial general intelligence is right around the corner.” He sold it to Microsoft, sold it to Middle Eastern sovereign funds, sold it to retail investors (some outlets have tallied the OpenAI exposure an ordinary American household holds indirectly through its pension), and now he’s starting to sell it to the U.S. government. In his hands, OpenAI the company is itself the best-selling product.

Vision 97 and Insight 92: he called the big direction right, and paid for “flattering,” too

Vision 97. In late 2022, wrapping GPT-3.5 in a chat box and throwing it straight at the public was a decision that drew internal argument at the time — handing an immature model prone to making things up to everyone carried real risk. His bet: only by getting hundreds of millions of people actually using it could you spin out the data, the revenue, the money for the next round. That one bet spun up the entire era of generative AI.

Insight gets a 92, and the docked points have a clear ledger. ChatGPT went through a stretch users derided as “over-flattering” — the model leaning toward telling you what you wanted to hear, going along with whatever you said, to the point of distortion, until OpenAI had to roll it back. That was a lapse in product insight: equating “users like it” with “good for users” is the easiest trap to fall into. Add the repeatedly criticized over-promising — the pre-launch talk on every generation of model always runs fuller than the felt experience once it lands. That’s why it’s a 92 and not a 97.

Taste 87: this is his lowest score, and the most honest thing about the man

Now back to that 87 from the top.

Open ChatGPT. What do you see? An input box. Just an input box. No Jobs-grade industrial design, none of that “it captivates you at first glance” detail. It’s usable, sufficient, clean — but it isn’t beautiful, and it doesn’t need to be. It rides on model capability, not on product taste.

That’s not a flaw; it’s the true grade of Altman as a person: he isn’t a product manager who wins on product detail and aesthetics, he’s a product manager who wins on direction, scale, narrative, capital. Jobs would agonize over the layout of a circuit board no user would ever see; Altman cares whether the model can go another 54% faster, whether this round can raise another hundred billion, whether that international forum can put OpenAI in the rule-setter’s chair. Both can change the world, but they’re two different species.

The interesting part is that he knows this weak spot cold. As I mentioned last time when I wrote about Jobs, OpenAI spent roughly $6.4 billion buying Jony Ive’s company io — the man who designed for Jobs for more than twenty years, who’s set to ship his first screenless device in the second half of this year. Put the two things side by side and it clicks: between Altman’s 87 and Jobs’s 99 lies 12 points of taste; he never planned to close those 12 points himself — he spent $6.4 billion to buy them back. It’s the world’s most expensive act of “I know what I’m not good at.”

So what’s his real product

String the six scores together and the outline of a man snaps into focus: scale and originality maxed out, business and vision extremely high, taste at the bottom. This isn’t a person who “makes a beautiful product,” this is a person who “makes an entire company into the product.”

So the way he spent this week isn’t strange at all. Offering a sovereign fund 5% of the equity, pushing an “American-led international forum,” going back and forth with the Treasury Secretary to ship a model — in the eyes of a traditional product manager these are “neglecting the day job.” Inside Altman’s operating system they’re precisely the day job. Because the product he’s running was never ChatGPT’s chat box, it’s where the three letters O-P-E-N-A-I sit in the world: what it’s worth, what its relationship with the government is, whether it can land the next hundred billion, whether it gets to be the one writing the rules. ChatGPT is just one front end of that larger product.

But the numbers are now testing this bet

Which brings us to how the AI era is repricing his whole playbook.

Altman’s bet is that scale + narrative + capital + political capital, as a combination, wins AI. That combination has always worked. But the recent numbers are starting to run the other way.

ChatGPT’s share of web traffic has fallen from 87.2% to 56.7% in fourteen months — Gemini is closing hard. Starker still is the enterprise market: by one count OpenAI’s enterprise share dropped from 50% to 27% over two years, while Anthropic climbed to 40% and pulled ahead. That Fortune headline from the top says it plainly — while Altman busies himself orchestrating a “new AI order,” OpenAI is being reeled in, bit by bit, by Google and Anthropic.

That’s the most dangerous variable in his bet. As model capabilities start to converge, as enterprise customers — engineers and regulated industries especially — vote with their feet for the rival that’s “more trusted, more finished as a product,” Altman’s operating system of “leading on scale and narrative” runs, for the first time, into an opponent it isn’t built to handle: one that’s stronger on exactly his lowest score — product and trust.

Last time, writing about Jobs, I said the only 99 on the whole list went to a man who never wrote code, because the hardest thing in his hands was judgment and taste. Altman, this time, proves the same thing from the opposite side: he took scale, capital, and politics to the very top, and taste alone is his soft spot — and when the model becomes a utility like water and electricity, when everyone can call up the same capability, what’s scarce is exactly the one thing he scores lowest on.

He knows this better than anyone. Otherwise he wouldn’t have spent $6.4 billion. Whether that $6.4 billion actually bought those 12 points starts getting graded the moment that screenless device appears in the second half of this year.