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Seven months from a standing start
OpenAI opened ChatGPT to advertisers in February, and by the end of August the ad business was running at a billion dollars a year. That is seven months, from a standing start, on a product that still sells a single ad unit.
ChatGPT's ad business went from a standing start in February to a billion-dollar annualised run rate by August.
Before that number goes in your presentation, understand what it is. A run rate is one good month multiplied by twelve, so the billion is a projection of August rather than money anyone has collected, and Digiday's own working puts actual booked revenue for the first eight months at somewhere around $330m.
The billion-dollar figure is one month multiplied by twelve. Booked revenue across the first eight months is closer to $330m.
The target makes it look worse again. OpenAI set itself $2.5bn in recognised ad revenue by 31 December, which from here means averaging more than $541m every month for the rest of the year against the $83m it managed in August.
That is not a stretch. A business taking $83m a month is a pilot. A business taking $541m a month is a mature ad platform, with the formats, the targeting and the advertiser base to match, and that is not what OpenAI has built yet.
August brought in $83m. Hitting the $2.5bn target needs $541m every month from September to December.
For scale, Google took $81.6bn in advertising last quarter and Meta took $59.4bn. ChatGPT’s entire August is a little over two hours of Google.
Google and Meta's last reported quarter converted into an hourly rate, set against ChatGPT's August. Alphabet and Meta Q2 2026 results, and Digiday for ChatGPT.
So the targets were aggressive and they are going to be missed, and frankly that is the least interesting part of this.
Here is the thing. Look at what advertisers are actually buying with that billion dollars.
What a billion dollars of demand currently buys: one ad format, three ways to bid, four targeting levers and two ways to measure.
One format. A chat card with a title of up to 50 characters, 100 characters of body, an image and a link. Three ways to buy it, which is more than it launched with, and a targeting panel that runs to country, state and ZIP in the US, device platform, custom audience lists with a 25,000 match minimum and something OpenAI calls context hints, which it is careful to tell you are not keywords and do not guarantee delivery anywhere in particular.
Measurement has come further than I expected, with a first-party pixel, a 30 day window and a server-side conversions API, though none of it has been running long enough for anyone to trust it yet.
A billion dollars is moving through that. Not through a mature auction with ten formats and proper audience segments, through a text card with a picture on it.
What Amazon and Adobe tell you
Then Amazon got involved. On 10 September Amazon's DSP started buying inventory inside the ChatGPT app, with Delta Vacations among the first tests. Amazon does not attach its demand to formats that do not work, and it has spent 18 months taking supply wherever it can find it, so read that as the strongest signal yet that conversational ads are a real channel rather than an experiment.
The day before, we found out what kind of landlord OpenAI intends to be. It abruptly stopped accepting ChatGPT ads for image and audio generation products that compete with its own features, which caught Adobe cold. Adobe had been running Firefly and Acrobat Studio ads since joining the pilot in February. The change was not announced, it is not in the published ads policy, and the first anyone knew was when the ads stopped.
OpenAI is willing to turn away revenue it badly needs in order to protect its own products, and it will do it without telling you first. Worth remembering when you build a plan around a channel where one company owns the inventory, writes the rules and sells against you.
One more number while we are here. ChatGPT is only now approaching a billion weekly users, roughly seven months later than OpenAI expected to pass it. The schedule slipped. The audience did not.
ChatGPT's weekly active users, every figure OpenAI has announced since 2023. The most recent was 900 million in February, with a billion now in sight.
What to do today.
Get a test live this month. Not a 2027 line item, an actual campaign with a small budget and one clear conversion.
If you sell anything, the clock is Black Friday. Start now and you will know what engagement looks like going into peak, rather than running your first experiment through the only weeks of the year that really matter.
Scale as the product catches up, because it will.
Expect audience insight tools and topic-level volume data rather than anything at individual prompt level, and expect both to land faster than the formats did.
There is far too much riding on this for OpenAI to leave it as a text card with a picture on it, and the brands taking this seriously in 2027 will be the ones already spending in 2026.
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That is it for this week, until next time.
Have a good one.
Andy
🗣️ This week's stories
What caught my eye in AI search this week.
The people closest to the work put the odds of AI wiping out humanity at more than one in ten. That is Evan Hubinger, who leads alignment science at one of the frontier labs, saying it publicly and attaching a number to it, days after a colleague resigned and walked away from his equity over the same fear. These are not outsiders lobbing rocks from a distance, they are the people building the thing. Axios
Altman and Amodei both came out for slowing the frontier down, a day apart. Altman told OpenAI staff on Friday the company is open to it, then Amodei published a plan proposing embedded third-party evaluators and coordination between labs in democratic countries. He names the obstacle himself, which is that a genuine global agreement including China is not happening any time soon. Dario Amodei
Meta launched Muse, a personal AI agent that books travel, fills in forms and buys things for you. It needs a Meta account, which makes it one more discovery surface where nobody outside Meta can see what it recommends or why it picked that. Meta
The Seattle Times and Newsday sued OpenAI and Microsoft over training data. Filed on 4 September in the Southern District of New York, alleging paywall circumvention and verbatim reproduction, and asking the court to destroy the datasets and models built on them. We will see a lot more of these. Spokesman-Review
Cutting the price of a model by 80% grew its usage tenfold. That was OpenAI CFO Sarah Friar at Goldman Sachs, talking about Luna. Separately she put enterprise revenue growth at 32% month on month from June to July against roughly 20% across the company, so those two numbers are not the same story however they get quoted this week. Reuters