OpenAI begins testing ChatGPT ads this month, following Meta's playbook for revenue growth

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OpenAI is launching its first advertising tests on ChatGPT this month, marking a dramatic shift for the company that once called ads a "last resort." With 800 million weekly users but over 90% non-paying, OpenAI faces mounting pressure to fund its expensive AI operations. The company hired Meta veteran Fidji Simo to lead the charge, raising its 2030 revenue target to nearly $50 billion.

OpenAI Launches First ChatGPT Ads as Revenue Pressure Mounts

OpenAI will begin testing advertising on ChatGPT this month, signaling a fundamental shift in strategy for the company valued at $500 billion

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. The move comes as Sam Altman's company faces intense pressure to cover operational costs and fund infrastructure expansion, with over 90% of its 800 million weekly active users remaining non-paying

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. Initial advertising clients will be charged premium rates, with OpenAI looking to charge as much as $60 per 1,000 ad views—roughly triple established ad players like Meta, where rates typically sit under $20

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. The company promised that ChatGPT's responses would remain "driven by what's objectively useful, never by advertising," while noting the ad-driven model would allow "more people to benefit from our tools with fewer usage limits or without having to pay"

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Source: Reuters

Source: Reuters

From Research Lab to Advertising Revenue: OpenAI's Strategic Pivot

The shift toward monetizing through ads represents a dramatic reversal for OpenAI, whose origins as a nonprofit research lab shaped a culture that long viewed ad-based revenue models with suspicion

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. As recently as October 2024, Altman described in-chatbot advertising as "uniquely unsettling" and called it "a last resort" for the business model

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. Yet the company has since likened ads to a necessary "internet tax," echoing the trajectory of Meta founder Mark Zuckerberg, who dismissed monetization ideas in 2004 before building an $1.8 trillion advertising empire

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. The Information reported that OpenAI raised its internal revenue target for 2030 to nearly $50 billion—up from $30 billion previously—with the advertising segment playing a central role

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Meta Veterans Lead ChatGPT Advertising Push

OpenAI's hiring of Fidji Simo as CEO of applications last May signals the seriousness of this new revenue stream

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. Simo, a key architect of Facebook advertising in the 2010s who ran the Facebook app and helped scale Instacart, brings deep expertise in generating advertising revenue

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. A study of LinkedIn postings found that roughly 20% of OpenAI's workforce list Facebook or Meta gigs on their resumes, reflecting a cultural shift toward the engagement-at-all-costs mindset that powered Meta's growth

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. While Simo reportedly "reassured" OpenAI employees on her arrival that she would "do things differently" from her Meta career, her hiring suggests OpenAI intends to put that expertise to work

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. As a former public-company CEO, Simo would also be a logical choice to lead OpenAI if it pursues an IPO, particularly given Altman's expressed reluctance to remain CEO in such a scenario

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Source: Axios

Source: Axios

The Challenge of AI Chat Advertising and User Trust

Generating meaningful ad dollars from AI chatbot interactions may prove trickier and take longer than expected

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. Even big, well-known products can take years to build an ad business due to complex work required to build sales teams, software systems to sell and place ads, and measurement standards that advertisers require

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. Netflix's ad rollout is instructive: after launching in 2022, it had to refund some advertisers after falling short of viewership guarantees, and ad revenue grew from $310 million in 2023 to $1.5 billion in 2025—still less than 5% of the group's $45 billion in overall sales

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. Meanwhile, it took Meta 11 years to grow average revenue per person fourfold to $58 in 2025

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The challenge intensifies with a chatbot, where maintaining user trust becomes critical

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. Traditional ad formats like Google's sponsored search results are predictable and clearly labeled, but in AI-generated answers, it's harder to insert brands without eroding trust in the chatbot's neutrality

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. User prompts can be personal or sensitive, making users far less tolerant of intrusive ad targeting than they might be on a social media feed

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. As Altman himself noted in October 2024: "When I think of GPT writing me a response, if I had to go figure out exactly how much was who paying here to influence what I'm being shown, I don't think I would like that"

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Limited Opportunities and Market Realities for OpenAI Advertising

Even where ad targeting is possible, addressable opportunities may be scarce

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. OpenAI's own data suggests only 2% of ChatGPT prompts involve purchasable products, with intent-heavy queries skewing toward a narrow set of high-profile items like iPhones or sneakers

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. Market intelligence firm GrowByData estimates that ads appear in only about 0.1% of Google's AI Overviews

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. Ad agency WPP estimates OpenAI could earn roughly $500 million to $800 million this year if it captures 0.1% to 0.3% of the $270 billion global search ad market

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The theoretical potential remains substantial: if OpenAI monetized half its 800 million users at Meta's 2025 average annual revenue per user of $58, it could theoretically generate around $23 billion a year

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. Yet with advertisers now spreading budgets across more channels from TikTok to Instagram to ChatGPT and traditional search, buyers could gain leverage and pricing might come under pressure—making Altman's $60-per-1,000 target harder to reach

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. Most current OpenAI revenue comes from individual subscription fees, and markets have been spooked by reports that user growth has slowed

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. Early ad forays are expected to be low-key, with one mockup reportedly placing sponsored material in a sidebar that only appears once a conversation has turned toward discussing purchases

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. Over time, as users grow accustomed to the ads and OpenAI needs to boost growth, the ad placements and engagement farming are likely to become more aggressive

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. The steep compute costs of running AI models make this new revenue stream essential for covering operating losses as the company seeks hundreds of billions of dollars to build AI infrastructure

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