OpenAI enters $680B ad market as ChatGPT seeks new revenue

OpenAI is racing to build an advertising business inside ChatGPT, a high-stakes bet that pits the AI pioneer against Google and Meta for a share of the $680 billion digital ad market. The product remains in early testing with a limited set of brands, and advertisers have expressed skepticism about measurement, targeting, and whether ChatGPT's conversational interface can accommodate traditional ad formats.

"The product is still rudimentary, but it's changing every week," one ad buyer familiar with the offering said, speaking on condition of anonymity because the program is not public.

OpenAI Chairman Bret Taylor said on CNBC that the industry is moving toward "paying for outcomes" rather than tracking token consumption, comparing today's AI market to the early internet when building a website cost substantially more. He predicted that within 12 months, IT departments will manage AI costs by department rather than worrying about token economics. "I believe where the world is going is paying for outcomes," Taylor said.

The ad push comes as OpenAI seeks to diversify beyond its subscription and enterprise API revenue. Success would validate AI-native advertising models and threaten Google's dominance in search-adjacent ad placement; failure could signal limits to AI monetization beyond subscriptions.

Advertisers Want Proof, Not Promises

Unlike Google Search, where ads appear alongside explicit purchase intent, ChatGPT generates open-ended responses where commercial interruptions risk breaking user trust. Ad buyers have questioned whether the platform can deliver measurable ROI comparable to established search and social advertising channels.

Taylor acknowledged the challenge indirectly, telling CNBC that token costs — the units of text that AI models process — will become irrelevant as the market matures. He pointed to Ramp's recently unveiled token spend tool and sector-specific AI companies like legal startup Harvey as examples of businesses that manage AI costs for their customers. "If you fast-forward 12 months from now, IT departments will be really sophisticated about the industrial applications of AI," Taylor said. "For your marketing department, you might have one thing. For your software engineers, another thing. So you just don't need to think about the word token at all."

The Cost Race Heats Up

The advertising push also reflects intensifying price competition in AI. Chinese startup Moonshot AI recently released Kimi K3, a model that rivals OpenAI's GPT and Anthropic's Claude capabilities at a lower cost, drawing attention from AI developers. Taylor said he is not fully convinced yet. "'Is it cheaper to use' is the most important part for anyone considering it," he said. "And I think the jury's out on that."

OpenAI's ad business faces a dual challenge: convincing advertisers that ChatGPT can deliver measurable ROI while proving that its models remain competitive on cost against a growing field of cheaper alternatives. Google, which generated $240 billion in annual ad revenue, is integrating AI Overviews into its ad system, while Meta is bringing AI-powered search to Facebook, Instagram, and WhatsApp.

So What for Investors

For investors, OpenAI's ad bet introduces a new variable into the AI monetization equation. If ChatGPT ads gain traction, it could pressure Google's search ad franchise and force Meta to accelerate its own AI commerce efforts. If they fail, OpenAI will need to raise prices or find new subscription tiers — options that become harder as cheaper models like Kimi K3 erode the premium pricing power that underpins its business model.

This article is for informational purposes only and does not constitute investment advice.