Briefing

OpenAI's Ad Revenue Forecast Misses 2030 Target by 90%

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by Danny Goodwin · OpenAI

Review OpenAI's ad revenue forecast and compare it to Emarketer's market estimate to gauge realistic expectations.

What to do now

Review your ad strategy to align with realistic market size.

Summary

OpenAI projected $2.5 billion in ad revenue this year and aims for $100 billion by 2030, according to the company’s own estimates. Emarketer, however, projects the entire U.S. chatbot ad market to generate less than $1 billion this year and only $5.41 billion by 2030. The gap between OpenAI’s target and the market estimate is roughly 90 %. OpenAI began testing ChatGPT ads in February and by April had projected the $100 billion figure within five years. The forecast assumes OpenAI will capture search ad budgets at scale and dominate a mature chatbot ad market, outperforming every ad format in history. Emarketer’s data points to a much smaller market, covering standalone chatbots such as ChatGPT, Microsoft Copilot, Google AI Mode and Amazon Alexa for Shopping (formerly Rufus). The discrepancy highlights that ChatGPT Ads still have a long way to go to reach the projected revenue.

The article underscores the importance of realistic market sizing for AI advertising and suggests that stakeholders should temper expectations accordingly.

Key changes

  • OpenAI projected $2.5 billion ad revenue this year
  • OpenAI aims for $100 billion by 2030
  • Emarketer estimates U.S. chatbot ad market < $1 billion this year
  • Emarketer estimates U.S. chatbot ad market $5.41 billion by 2030
  • Gap between OpenAI target and market estimate is 90 %
  • OpenAI began testing ChatGPT ads in February
  • By April, OpenAI projected $100 billion within five years
  • Market includes ChatGPT, Microsoft Copilot, Google AI Mode, Amazon Alexa for Shopping

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