OpenAI has abandoned its original advertising pricing model for ChatGPT after just 10 weeks, switching from a cost-per-thousand-impressions model charging $60 to a cost-per-click model with bids between $3 and $5. The shift reveals the fragility of OpenAI's ambitious plan to generate $2.5 billion in advertising revenue for 2026, and exposes the company's struggle to monetize its massive user base while facing projected losses of $14 billion this year.

When OpenAI first introduced ads to ChatGPT on February 9, the company charged a $60 cost-per-thousand-impressions (CPM) rate with a minimum spend of $200,000 to $250,000. Early advertisers included Target, Ford, Adobe, Mrs. Meyer's, and Expedia. Within two months, the pilot generated more than $100 million in annualized revenue with several hundred advertisers participating. But the model cracked almost immediately. By late March, leaked pricing decks showed CPMs had plummeted to as low as $15, a 75 percent decline from the launch rate.

The new cost-per-click model, which launched globally on April 15, dramatically lowers the barrier to entry. The minimum spend has been cut from $250,000 to $50,000, and advertisers can now set bids as low as $3 per click. Ads appear at the bottom of ChatGPT responses with a "sponsored" label and are visually separated from the answer. Users on the free tier and the $8-per-month Go plan see ads, while paid subscribers on Plus, Pro, Business, Enterprise, and Education tiers do not.

What Changed in OpenAI's Advertising Strategy?

The pivot from impressions-based to performance-based pricing mirrors how Google and Meta structure their advertising platforms. Cost-per-click models tie revenue directly to user engagement rather than passive exposure, which is more attractive to advertisers who want to measure return on investment. OpenAI has also partnered with programmatic ad networks like StackAdapt, Smartly, and Criteo to expand reach and build conversational ad formats that go beyond static placements.

To support this expansion, OpenAI hired Shivakumar Venkataraman, a 21-year Google veteran who led Google's search ads business, as vice president in June 2024. Since February, the company has built a conversion tracking pixel that supports lead creation, order creation, and subscription starts, and launched a self-serve ads manager that opened to global advertisers in April. International expansion to Australia, New Zealand, and Canada followed within 48 hours.

How Does OpenAI's Ad Model Work for Advertisers?

• Targeting Method: Ads are matched contextually to the topic of the current conversation, rather than using demographic data or third-party tracking information.
• User Privacy: Advertisers cannot see user conversations, chat history, names, email addresses, or IP addresses; they receive only aggregated performance data showing total views and clicks.
• Ad Formats: Product-led queries can include sponsored product cards similar to Google Shopping results, and OpenAI is exploring action-based formats designed to drive purchases or app downloads directly from conversations.
• Audience Restrictions: OpenAI says it does not show ads to users it identifies as under 18 years old.

The financial pressure behind the shift is unmistakable. OpenAI generated $13 billion in revenue in 2025, a 236 percent increase from $3.7 billion in 2024, and is currently producing roughly $2 billion per month. The company closed a $122 billion funding round at an $852 billion valuation on March 31, led by Amazon, Nvidia, and SoftBank. But it is projected to lose approximately $14 billion in 2026 on compute, research, and infrastructure costs and does not expect to reach profitability until 2030.

Advertising is now positioned as the fastest path to closing that gap. OpenAI projects $2.5 billion in ad revenue for 2026, scaling to $11 billion by 2027 and $100 billion by 2030. These targets assume aggressive growth in advertiser participation and click-through rates, but the rapid collapse of the CPM model raises questions about whether the company's revenue projections are realistic.

Why Is OpenAI's Ad Strategy Controversial?

Sam Altman spent two years publicly opposing advertising in ChatGPT. In 2024, he called advertising a "momentary industry." At Harvard, he described ads as a "last resort." He told interviewers that "ads-plus-AI is sort of uniquely unsettling to me" and that he liked "that people pay for ChatGPT and know the answers they're getting are not influenced by advertisers." In a Stratechery interview, he said Instagram changed his mind, arguing that its ads "added value" to him.

When ads launched on February 9, Altman posted on X that OpenAI would "not accept money to influence the answer ChatGPT gives you, and we keep your conversations private from advertisers." But this promise masks a structural tension: while advertisers do not see user conversations, OpenAI must process conversation content internally to serve contextually relevant ads. Queries about health conditions, financial distress, relationship problems, and personal struggles are being analyzed and categorized by the system to determine which ads to show.

Zoe Hitzig, a researcher at OpenAI, resigned the day ads launched. Writing in the New York Times, she described ChatGPT's conversation logs as "an archive of human candor that has no precedent" and warned that OpenAI risks following "the same path as Facebook." Her concern was specific: the same conversations that users treat as private are the signal that makes the ads work.

The backlash has been significant. An Ipsos survey found that nearly two-thirds of US adults say ads in AI search make them trust the results less. A boycott campaign called QuitGPT has gathered more than 200,000 sign-ups since late January. In response to Anthropic's Super Bowl commercials attacking ChatGPT's ad decision, Altman argued that Anthropic "serves an expensive product to rich people" while OpenAI needs to bring AI to "billions of people who can't pay for subscriptions".

Altman

How Are Competitors Responding to OpenAI's Ad Strategy?

The major AI companies are now pursuing divergent monetization strategies. Google is weaving advertising into 25.5 percent of AI-generated search results, extending its existing ad infrastructure into AI Overviews. OpenAI is building a parallel ad platform from scratch. And the rest of the market is running the other way.

Perplexity tested sponsored follow-up questions in 2024 and 2025, then abandoned advertising altogether, citing user trust concerns. It is now targeting $500 million in subscription revenue as the explicitly ad-free alternative. Anthropic positioned Claude as ad-free before OpenAI even launched its program, spent millions on Super Bowl spots attacking ChatGPT's ad decision, and saw an 11 percent jump in daily active users and a climb to seventh on the App Store as a result.

The split tests a foundational question about AI products: whether users treat a chatbot more like a search engine, where ads are tolerated, or more like a therapist, where they are not. The answer may determine which monetization strategy succeeds in the long term.