OpenAI’s $100B Ad Target ‘Will Miss by 90%’ as Analyst Calls Chatbot Market Far Smaller

OpenAI’s $100 Billion Ad Target vs. a $5.41 Billion Market

OpenAI’s plan to build a $100 billion advertising business by 2030 is facing a harsh reality check. New data from research firm eMarketer shows that the entire U.S. market for ads inside standalone chatbots—including ChatGPT, Microsoft Copilot, Google AI Mode, and Amazon Alexa for Shopping—will generate less than $1 billion this year and climb to only $5.41 billion by the end of the decade. That would leave OpenAI’s $100 billion target off by roughly 90%.

The AI company began testing ads in ChatGPT in February and quickly touted those long-range revenue figures, which include $2.5 billion in ad revenue for 2026. Yet eMarketer argues the forecast rests on implausible assumptions: that OpenAI captures nearly all search ad budgets, dominates the full chatbot ad sector, and outperforms every prior ad format simultaneously. “If you’re willing to accept all those assumptions, then I can see their reported forecasts being true,” said Nate Elliot, principal analyst at eMarketer. “But we’re not willing to accept any of those assumptions.”

The gap is even starker because most AI-linked ad spending won’t flow to chatbots at all. Over 80% of AI ad dollars in 2026 will appear in traditional search results alongside AI-generated overviews, not inside conversational interfaces. Even OpenAI’s own pilot—which hit an annualized $100 million run rate within weeks—has so far failed to convince advertisers to move beyond experimental budgets. Sources told Adweek that some testers spend as little as $5,000, while critical performance tools such as conversion-optimized bidding are just arriving.

Why the ChatGPT Ad Business Faces a Reality Check

The Assumptions Behind the $100 Billion Number

OpenAI’s internal forecast requires three things to happen at once, according to Matt Prohaska, CEO of Prohaska Consulting: massive total audience growth, a sharp increase in average revenue per user, and the successful rollout of mature ad products. The company’s recent push to court small businesses is one attempt to grow that pie, but “it’s not like small business ad spend is going to be up 25% a year,” Prohaska said. eMarketer’s Elliot put it bluntly: even if OpenAI captured 100% of all standalone chatbot ad revenue five years from now, it would still miss its target by 90%.

Where the Advertising Dollars Actually Go

AI ad spending is real, but it isn’t concentrating inside conversational interfaces. eMarketer data shows that AI-linked ad spend in the U.S. will reach $32.03 billion this year and $68.25 billion in 2030—yet only 8% of that will land in standalone chatbots. More than 80% of AI advertising will sit alongside AI-generated content, such as traditional search ads that appear next to Google’s AI Overviews. That segment alone will generate $26.42 billion in 2026. The notion that users will abandon search engines for a chatbot-only experience—and that advertisers will follow with full budgets—remains unsupported.

User Growth Slowdown Compounds the Problem

ChatGPT reached 1 billion global monthly active users in May 2026, but its growth is decelerating fast. Year-over-year MAU growth dropped from 362% in early 2025 to 140% in early 2026, according to Sensor Tower. Because ads are shown only to Free and Go tier accounts—not to paying subscribers—the heaviest and most valuable users never see them at all. By definition, the people who submit the most prompts are the ones advertisers can’t reach inside ChatGPT.

IPO Valuation at Stake

The timing of these numbers is sensitive: OpenAI filed for its much-anticipated IPO last month. To justify a trillion-dollar valuation, the company must convince investors that it can tap trillions in addressable markets. The $100 billion ad target is a piece of that story. Prohaska noted, “Obviously they have to throw a number that’s huge to justify a trillion-dollar valuation for an IPO that is smartly being delayed right now.” If independent analysts are correct, the gap between projection and reality may force a downward revision before any public offering.

What the Dismal Forecast Means for OpenAI, Advertisers, and Investors

• Advertisers: Allocate ChatGPT ad spend as experimental, not performance. With test budgets rarely exceeding $5,000 and critical tools—audience data, negative keywords, transparent triggering reports—still missing, treat the channel as a trial until those gaps close.
• Investors: Scrutinize the company’s internal revenue model before the IPO. The $100 billion ad target is not supported by third-party market sizing; any valuation built on that figure should be treated with caution.
• OpenAI: Prioritize the product infrastructure advertisers say is needed for performance campaigns: detailed audience insights, conversion-optimized bidding at scale, and reporting comparable to Google Ads. The current trajectory won’t close the 90% gap.
• Competitors: Google and Meta face limited near-term threat from chatbot-native ads. Since over 80% of AI-linked ad spending stays within traditional search or AI-overview placements, incumbents’ revenue streams remain largely insulated from the standalone chatbot format.