OpenAI's US Ad Pilot Exceeds $100 Million In Annualized Revenue In Six Weeks (reuters.com) 23
An anonymous reader quotes a report from Reuters: OpenAI's ChatGPT ads pilot in the United States has crossed the $100 million annualized revenue mark within six weeks of launch, a company spokesperson said on Thursday, pointing to robust early demand for the AI startup's nascent advertising business. [...] While roughly 85% of users are currently eligible to see ads, fewer than 20% are shown ads daily, with considerable room to grow ad monetization within the existing user pool, the spokesperson said.
"We're seeing no impact on consumer trust metrics, low dismissal rates of ads, and ongoing improvements in the relevance of ads as we learn from feedback," OpenAI said. The company plans to expand the test globally in additional countries in the coming weeks, including in Australia, New Zealand, and Canada. OpenAI has now expanded to over 600 advertisers, with nearly 80% of small- and medium-sized businesses signaling interest in ChatGPT ads, the spokesperson said. The ChatGPT maker is set to launch self-serve advertiser capabilities in April to broaden access and drive further growth. CEO Sam Altman announced plans to begin testing ads on ChatGPT back in January after previously rejecting the idea. "I kind of think of ads as like a last resort for us as a business model," Altman said in 2024.
Further reading: OpenAI CFO Says Annualized Revenue Crosses $20 Billion In 2025
"We're seeing no impact on consumer trust metrics, low dismissal rates of ads, and ongoing improvements in the relevance of ads as we learn from feedback," OpenAI said. The company plans to expand the test globally in additional countries in the coming weeks, including in Australia, New Zealand, and Canada. OpenAI has now expanded to over 600 advertisers, with nearly 80% of small- and medium-sized businesses signaling interest in ChatGPT ads, the spokesperson said. The ChatGPT maker is set to launch self-serve advertiser capabilities in April to broaden access and drive further growth. CEO Sam Altman announced plans to begin testing ads on ChatGPT back in January after previously rejecting the idea. "I kind of think of ads as like a last resort for us as a business model," Altman said in 2024.
Further reading: OpenAI CFO Says Annualized Revenue Crosses $20 Billion In 2025
Fuck This and Fuck Them (Score:5, Insightful)
Fuck ads.
Re: Fuck This and Fuck Them (Score:2)
Most lack the mental fortitude to stop paying/using over this
Re: (Score:2)
There are two issues here.
1) Ads are evil, they are a form of propaganda.
2) LLMs are ideally suited to be ad machines, unconstrained from reality.
OpenAI is desperate for revenue, to claw itself out of the gigantic debt hole that Altman has created. Whether this will work is unlikely, but the advertising move will produce much revenue initially. It will also make it obvious that LLMs are a waste of time, eventually, and a form of spam that should be outlawed.
Low rate of ad dismissal my a$$ (Score:3)
I guess I donâ(TM)t really have a problem with this. I get it. Every single Internet company has a self stated evaluation that only makes consistent sense if its future revenue amounts to 10-times-global-GDP and their profits are all-teh-$$$$. Its a part of salesmanship thats rife in the industry. There are at least a hundred tech bro CEOs that are just as shameless about it as Altman
My take (Score:4, Interesting)
For sites like Netflix, with ads + subscription price, I need to decide where the value/cost trade off occurs. For some sites, it's cancel and forget about them, others pay at some level.
Unfortunately, ads are here to stay. The days of Archie, Veronica, Lynx are long gone...
About a factor of 150 too low (Score:3)
And that is just for them breaking even. Anybody thinks they can push ad revenue 150 times higher?
Trash your principles (Score:3)
Oh, Sam, we know you're not that ignorant: When your early investors demand bigger dividends, you'll trash your principles like yesterday's paper. You know, we know that.
Is this what SaaS CEOs have become: Salesmen who tell lies that everyone knows are lies, same as insurance industry CEOs. I guess, it was always so but now, you don't attempt to hide it behind the facts.
Do they allow... (Score:3)
Re: Do they allow... (Score:2)
Re: Do they allow... (Score:2)
Re: (Score:2)
Or politician, or political party, or other group of people whose interests generally don't match mine. I completely agree; this has been my assumption from the start, and certainly borne out by evidence over time. Unfortunately, most consumers are not very media-savvy, and advertisement systems are increasingly deceptive. Shaping audience perspectives must be one of the primary purposes of any vendor in the LLM space, w
Haven't seen one yet ... (Score:1)
... in my $20/mo account.
(Well, except very occasionally for their own services.)
Their business model might have an expiration date (Score:1)
in the end all those AI companies with their billion dollar valuations are just new ways of showing more adds to customers. what i dont really get is, how this is compatible with the way the economy is shifting: fewer and fewer wealthy individuals make up a higher and higher percentage of spending. ads seem less and less effective then. At some point the best way to increase your revenue will be to send a sales rep to a billionair...
What's the ROI then ? (Score:3, Insightful)
vs
$100 million p.a. income.
And that is, by Dirty Altman's own words, their "Last Resort".
Goodbye and good riddance.
Re: (Score:2)
$100 billion invested vs $100 million p.a. income. And that is, by Dirty Altman's own words, their "Last Resort". Goodbye and good riddance.
Yea, 100 billion in Treasury Notes at 3.6 would be 36 billion. That's a high hurdle rate and basically zero risk; I'm guessing their hurdle rate is much higher and will be tough to clear.
Peanuts... (Score:2)
OpenAI's US Ad Pilot Exceeds $100 Million In Annualized Revenue In Six Weeks means the revenue in 6 weeks was about $10 million.
That's a rounding error - was it worth destroying the product image over? I almost wrote "and their reputation", but the deal with drunk Fox news-host currently roleplaying as a secretary of a department that doesn't exist [military.com] that had dipped into gutter already [techcrunch.com].
Re: Peanuts... (Score:3)
eligible to see ads (Score:2)
WTF?
I hereby declare myself not eligible to see ads.
the question many are pondering now (Score:2)
so what does this actually mean for digital marketing? how do you even optimize to show up in an AI’s answers?
say I ask an LLM for a tool that does automated voice calls with speech-to-text -> LLM -> text-to-speech. it’ll spit out a shortlist. if that’s your product, how do you end up on it?
with google, at least we had a defined game: rankings, signals, tests, etc. this feels a lot fuzzier.
should be interesting times ahead for marketing.
This is easy, just use ad free AIs (Score:1)
Google and probably others will avoid them for a VERY long time.
And if not, there are many open source AIs we can run on our own machines.
And they will only continue to improve.
Just like adblockers, and Fluff Busting Purity, there are always solutions.
It's not our job to make them pay. We could even ask AI the best way to avoid them :)
Facts Only
OpenAI's ChatGPT ad pilot in the U.S. has exceeded $100 million in annualized revenue within six weeks.
Approximately 85% of ChatGPT users are eligible to see ads, but fewer than 20% are shown ads daily.
OpenAI reports no impact on consumer trust metrics and low ad dismissal rates.
The company plans to expand the ad test to Australia, New Zealand, and Canada in the coming weeks.
Over 600 advertisers have joined the program, with nearly 80% of small- and medium-sized businesses expressing interest.
OpenAI will launch self-serve advertiser capabilities in April 2024.
CEO Sam Altman announced plans to test ads in January 2024, having previously called ads a "last resort" business model.
OpenAI's CFO projects annualized revenue could cross $20 billion in 2025.
The ad pilot is part of OpenAI's efforts to monetize its user base amid financial pressures.
Critics in the discussion highlight concerns about ads as propaganda and the potential degradation of user experience.
Executive Summary
Full Take
The strongest version of this narrative is that OpenAI is successfully monetizing ChatGPT through ads while maintaining user trust and ad relevance, a critical step toward sustainability for a company facing immense financial pressures. The rapid revenue growth and advertiser interest suggest that AI-driven advertising could be a viable model, especially for small and medium businesses. However, the pattern scan reveals several manipulation tactics at play. The framing of ads as a "last resort" by Altman, only to pivot aggressively toward them, aligns with **ARC-0043 Motte-and-Bailey**, where a more palatable position (ads as a fallback) is used to justify a more extreme one (ads as a core revenue driver). The emphasis on "no impact on consumer trust metrics" without defining what those metrics are or how they're measured could be **ARC-0024 Ambiguity**, obscuring potential user dissatisfaction. The repeated claim of "low dismissal rates" also risks **ARC-0012 Cherry-Picking**, as it omits context about how often users are exposed to ads in the first place.
The root cause here is the tension between OpenAI's need for revenue and the ethical concerns surrounding AI-driven advertising. The assumption that ads are an inevitable part of digital business models goes unchallenged, even as critics argue that LLMs are uniquely suited to manipulative advertising due to their unconstrained generation capabilities. The implications for human agency are significant: if AI platforms become ad machines, users may face even more pervasive and subtle forms of persuasion, eroding cognitive sovereignty. The second-order consequences could include a further fragmentation of trust in AI tools, as users grow wary of biased or commercially driven responses.
Bridge questions: What alternative monetization models could OpenAI explore that don’t rely on advertising? How might the integration of ads into AI responses alter the perceived neutrality of these tools? What safeguards could be implemented to ensure ads don’t exploit the unique persuasive power of LLMs?
Counterstrike scan: If this were part of a coordinated influence campaign, the playbook would involve normalizing AI-driven ads as harmless while downplaying ethical concerns, using ambiguous metrics to claim user acceptance, and framing criticism as unrealistic. The actual content partially matches this pattern, particularly in its selective presentation of user feedback and the pivot from Altman’s earlier stance. However, the inclusion of critical voices in the discussion mitigates the risk of outright manipulation.