ChatGPT to test ads in the US as OpenAI redefines AI monetization

ChatGPT to test ads in the US as OpenAI redefines AI monetization

5 minutes, 40 seconds Read

OpenAI’s decision to introduce ads in ChatGPT for free users and the new $8 “Go” level is already shaping up to be one of the most pivotal moments in the short history of generative AI. It’s not a simple business adjustment. It’s a reframing of where digital intent, attention and commercial influence intersect at a time when conversations are increasingly replacing search bars.

  • OpenAI has not yet started serving ads in ChatGPT, but plans to start testing ads in the coming weeks.
  • Initial testing is aimed at adult users in the United States on the Free tier and the new $8 ChatGPT Go tier.
  • Users on Plus, Pro, Business, Enterprise, and other higher plans won’t see ads.
  • OpenAI states that ads are clearly labeled and separated from the AI’s response and have no influence on how ChatGPT generates its responses.
  • OpenAI states that it does not sell user conversations to advertisers and that users can manage their personalization settings; ads don’t appear near sensitive topics.

Yet this moment will be remembered not as the day advertising arrived in ChatGPT, but as the day two decades of assumptions about search and digital advertising broke open.

Read that again: ads are not placed next to or above a list of links, like on Google. They appear in the conversation flow when a user has just received a helpful response.

This is not incremental. It’s one new intent interface.

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For years, OpenAI has developed ChatGPT as an ad-free oasis in a web saturated with promotions, pop-ups, and sponsored results. Now it’s embracing the oldest monetization strategy on the Internet: advertising. The company insists that ads will be clearly labelled, will not influence AI responses and will not rely on the sale of individual user data. Ads appear below answers when relevant, and paid levels such as Plus, Pro, Business and Enterprise remain ad-free.

To understand why this is important, think of it not as an ad insertion, but as a shift in the way commerce intrudes on human intent at the moment of decision, rather than as a distraction.

The new logic of intention

In a classic Google search, thoughtful queries turn into ranked links and ad spaces next to them. In a ChatGPT conversation, a user asks a question, gets an answer, and stays in context; the frame never changes. An advertisement below that answer is not an interruption; it is an extension of the thought process. This subtle repositioning changes the way brands can engage a user: they don’t chase clicks after a search, they come up with the answer themselves.

That’s a paradigm shift. Brands no longer compete for top billing on a results page; they compete to be part of the story that unfolds between a question and a solution. It’s a level of semantic closeness to intent that search ads can never capture, because even the best keywords are guesses at nuance. ChatGPT sees nuance first.

Let restaurants, retailers, and SaaS companies imagine this: not just showing an ad after someone searches for “best CRM tools,” but showing up contextually right when someone asks “what CRM features are important for small teams.” That changes where conversion flows start.

Financial necessity meets strategic experimentation

This doesn’t happen. OpenAI’s infrastructure costs are enormous, and the number of free users is dwarfed by the number of subscribers. Only a small portion of ChatGPT’s hundreds of millions of weekly active users are currently paying. Advertising offers a scalable revenue path that could subsidize open access and help the company balance long-term costs.

It’s notable that OpenAI once positioned advertising as a ‘last resort’. Now they are a strategic mainstay. That tells you two things: the size of the AI ​​computing bills is real, and the company is trying to find a sustainable business model that doesn’t rely solely on subscription fatigue.

This is where the real debate begins.

The value of ChatGPT is not just utility; it’s credibility, the feeling that the answer isn’t trying to sell you something. Introducing ads above or below the answers may be technically neutral, but the perception is sticky. Once a user notices “Sponsored” in the thoughtful flow of a conversation, trust becomes negotiable. Academic research on ads in AI interfaces shows that even labeled ads can reduce perceived trust and make users feel manipulated, especially if they are blurred by responses.

OpenAI recognizes this. It holds promise for preventing ads from appearing in sensitive contexts, such as health, politics, or personal advice, and is not targeted at minors. It also promises that ads won’t distort the model’s answers.

Yet trust is not a function of code; it’s a feeling that users develop over time. One poorly placed ad recommendation, even if accurate, can leave people wondering whether the answer was shaped by commercial rather than objective logic.

A ‘creative’ frontier for advertising

From a creative perspective, this is both exciting and fraught. The ads we’ve long tolerated have trained us to view marketing as interruptions: banners, pop-ups, pre-roll videos. ChatGPT’s approach suggests something closer to a contextual dialogue, where an ad feels like part of exploration. The brands that succeed here won’t be the loudest; they will be the most relevant, most resonant, and most human. They read as answers and not as coercive measures because they are embedded in the answers.

That opens up a new creative question: Marketers will have to think less about clickbait hooks and more about narrative relevance, how they can be helpful within a user’s query, not alongside it.

Is this the end of Google? No. Google’s advertising machine is massive, integrated and highly optimized. The AI ​​integration in search, including AI summaries, already combines insights with advertising in ways that are more advanced than many realize.

But the rise of ads in ChatGPT indicates that intent is now multi-layered. There is traditional search intent tied to links and pages, and conversational intent captured in natural language interactions. These layers will coexist, sometimes reinforce, sometimes compete.

Advertisers and creators often optimize for keywords these days. Tomorrow they will optimize the semantic cues that signal purchasing interest within a dialogue for conversation moments.

The rollout is just the beginning. As AI systems evolve into multimodal, interactive assistants that help people plan trips, make purchases, write essays, plan budgets, and solve all kinds of problems, the point at which commerce enters that interaction becomes crucial.

The question is no longer “Will people see our ad?” But “Will they trust our recommendation if it appears next to an AI response?

That is the real test and the real limit.

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