AI Assistants That Sell You Things On The Side | Behind the Numbers

Behind the Numbers (an eMarketer Podcast)

AI Assistants That Sell You Things On The Side | Behind the Numbers

Behind the Numbers (an eMarketer Podcast)May 1, 2026

Why It Matters

Understanding the realistic potential of AI‑driven advertising is crucial for marketers, investors, and tech professionals as chatbots become a primary user interface. The episode reveals how premature monetization could erode trust and shape the future competitive landscape between AI platforms like OpenAI and Google.

Key Takeaways

  • OpenAI projects $100B ad revenue by 2030
  • Current weekly users 900M; target 3B by 2030
  • Ads appear later in conversation, not immediate search style
  • 63% of consumers say ads reduce AI trust
  • Subscriptions and enterprise sales emerging as revenue alternatives

Pulse Analysis

OpenAI’s latest financial outlook envisions a dramatic shift from its $2.5 billion ad run rate this year to a $100 billion ad revenue target by 2030. To hit that figure, the company must grow its weekly active users from roughly 900 million today to three billion worldwide, a scale that would dwarf Google’s two‑decade journey to comparable ad earnings. Analysts also point to a modest U.S. AI‑search ad market—projected at $2 billion this year and $25 billion by 2029—as a baseline, suggesting OpenAI’s global ambitions rely on rapid user adoption and higher‑value ad placements.

The ad‑format debate is already heating up. Unlike traditional search ads that appear instantly, ChatGPT often delays sponsored content until the tenth turn or later, positioning itself more as a conversational shop assistant than a query‑driven billboard. Early data from SimilarWeb shows roughly 99 % of Google AI‑mode ads surface on the first query, while OpenAI’s ads linger, aiming to capture clearer intent. However, 63 % of consumers report that ads erode trust in AI outputs, and advertisers worry about low eCPMs and the need for a robust ad‑tech stack that OpenAI currently lacks. Competitors such as Claude remain ad‑free, raising questions about whether users will stay loyal to a platform that inserts promotional material into their dialogues.

Given the financial pressure—$13 billion revenue last year, a projected $14 billion loss, and plans to spend up to $200 billion on model training—OpenAI is exploring alternatives. Subscription tiers and enterprise licensing are gaining traction, especially after research shows 83 % of users would continue using free AI services even with ads. For marketers, the takeaway is to monitor OpenAI’s experimental ad formats, like the Smartly partnership that launches a separate chat‑based shopping window, while preparing for a hybrid monetization landscape where brand‑building ads coexist with subscription‑driven revenue streams.

Episode Description

In today’s podcast episode, we discuss whether OpenAI making $100bn in advertising revenue by 2030 is fanciful or genuinely on the cards; whether a chatbot ad model is starting to take shape; and whether there’s a world in which chatbots remain largely or completely ad-free, with AI companies relying instead on subscription revenue. Join Senior Director of Podcasts and host Marcus Johnson, along with Principal Analyst Nate Elliott and Analyst Grace Harmon. Listen anywhere, or watch on YouTube or Spotify.

 

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For a transcript of this episode click here:

https://www.emarketer.com/content/podcast-ai-assistants-that-sell-you-things-on-side-behind-numbers

© 2026 EMARKETER

Show Notes

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