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OpenAI is projecting a steep new revenue path built around advertising, with the ChatGPT maker expecting about $2.5 billion in ad revenue in 2026 and as much as $100 billion annually by 2030, according to a report by Axios citing investor presentation material. The same projections indicate ad sales could climb to $11 billion in 2027, $25 billion in 2028 and $53 billion in 2029, underscoring how central advertising may become to the company’s commercial model as it tries to finance the immense cost of building and running advanced AI systems.
That shift marks a striking evolution for a company that built its public identity around subscriptions, enterprise tools and developer services rather than ads. Investor assumptions described in the reporting are highly ambitious: OpenAI’s products are projected to reach 2.75 billion weekly users by 2030. Such a figure would place the company among the most powerful consumer internet platforms in the world, and it helps explain why advertising is being modelled as a business capable of rivaling the scale of established digital ad giants.
The forecast also arrives at a moment when pressure is mounting on leading AI groups to prove they can generate durable cash flow against soaring infrastructure bills. Reporting this week has shown that OpenAI and Anthropic are expected to spend tens of billions of dollars on training and inference in 2026 alone, with costs set to rise sharply after that. Reuters also reported on April 1 that OpenAI had raised $122 billion in a funding round that valued the company at about $852 billion, illustrating both investor appetite and the scale of capital still required. In that context, advertising looks less like an optional side business and more like a bid to build a revenue engine large enough to support an exceptionally expensive technology stack.
Early signs suggest OpenAI believes the model can work. Reuters reported on March 26 that the company’s US ChatGPT ad pilot had crossed $100 million in annualised revenue within six weeks of launch, with a spokesperson pointing to strong advertiser demand. Axios added that the pilot had reached roughly the same annual recurring revenue pace within two months, suggesting management now sees conversational advertising as commercially viable rather than experimental. If that pace holds and broadens internationally, it would strengthen the argument that AI chat interfaces can become a new layer of the digital advertising market rather than merely an add-on to search.
What makes the proposition attractive to marketers is the nature of the interaction itself. Users do not merely type keywords; they often describe intent, preferences, urgency and budget in full sentences. That offers a richer commercial signal than many conventional search queries. Supporters of the model argue that ads embedded in such exchanges could be more relevant and better timed, especially in shopping, travel, finance and local services. Yet the same strength creates the central risk. When users treat a chatbot as an adviser, assistant or research tool, the boundary between helpful response and paid influence becomes more sensitive than in traditional search or social feeds. Axios said one concern is that chatbots could become aligned more closely with advertiser interests than user interests if safeguards are weak.
That tension goes to the heart of trust, which has become one of OpenAI’s most valuable assets. Any aggressive move into advertising would likely intensify scrutiny over disclosure, ranking, commercial bias and how sponsored responses are labelled. Regulators in multiple jurisdictions are already examining transparency and accountability in AI systems more broadly, and a platform operating at the scale OpenAI is projecting would attract even deeper examination. For users, the question will not be whether ads appear, but whether they are clearly separated from neutral answers and whether commercial placements distort outputs that people increasingly rely on for work, study and everyday decisions. The commercial upside is large, but so is the reputational exposure.
The strategy also sharpens the contrast with rivals. Reuters reported on April 8 that Anthropic has been racing OpenAI on revenue growth ahead of potential public listings, while Axios noted that Anthropic has publicly committed to keeping Claude free of advertising. That divergence points to two distinct visions for consumer AI. One treats massive reach as the basis for a future ad business; the other appears to be leaning more heavily on subscriptions and enterprise spending. Whether users reward one model over the other could shape not only revenue mixes but also public expectations of how AI assistants should behave.
