AI Platforms Increasingly Turning to Advertising Models for Profitability
Criteo CEO predicts widespread adoption of ad-based revenue models among major AI developers.
1Shift Toward Ad-Supported Models
Criteo CEO Michael Komasinski predicts that many artificial intelligence platforms will eventually adopt advertising to ensure long-term profitability. Speaking at the Web Summit in Lisbon, Komasinski noted that advertising remains the most scalable business model globally. This strategy has historically supported major platforms like Google, Meta, and Snapchat for many years.
2Financial Pressure Drives Adoption
Developing and deploying advanced AI models requires massive capital investment, creating significant pressure to generate revenue. As inflation and high interest rates increase the cost of these endeavors, investors are becoming more cautious. Consequently, companies are seeking reliable monetization paths to cover their colossal spending and satisfy market expectations for growth.
3OpenAI Leads Ad Integration
OpenAI began testing advertising within ChatGPT for free and low-cost subscriptions in the United States during February. Following this initial phase, the company has begun a progressive global rollout of these features. This initiative is conducted in direct cooperation with Criteo, which currently works with OpenAI across 89 different countries.
4Industry-Wide Experimental Strategies
Various AI firms are testing different approaches to advertising integration. Microsoft introduced ads into its public Copilot version in 2023, while Perplexity began experimenting with similar formats in the United States in 2024. Meanwhile, Google is currently considering the integration of advertisements within its Gemini platform to bolster its existing revenue streams.
5Divergent Views on Monetization
Not all industry players are embracing the advertising model. Anthropic has explicitly stated it does not plan to integrate ads into its AI tools. The company cites data protection concerns and a desire to protect user interests as primary reasons for avoiding this specific revenue path, even as it prepares for a public listing.
6Brand Engagement and Performance
Criteo reports that approximately 3,600 brands have already trialed AI-based advertising campaigns. These brands have observed a modest increase in their spending on ChatGPT, suggesting early interest in the format. Komasinski believes future ad formats will become increasingly innovative and native to the conversational experience provided by these advanced AI chatbots.
7Limits of Autonomous Agents
Despite the rise of AI, Komasinski remains skeptical about the potential for AI agents to autonomously make significant purchases. He argues that while ordering unimportant items via a bot is simple, users are unlikely to delegate high-stakes purchasing decisions to automated systems. This limits the scope of AI-driven commerce for now.
8Future Market Outlook
The rally in AI-related stocks has demonstrated strong investor confidence throughout the year. However, the transition toward advertising models highlights the ongoing challenge of balancing innovation with financial sustainability. Moving forward, the industry will likely focus on refining native ad experiences while navigating the complex demands of data privacy and user trust.
Original article: eNCA — AI Platforms Increasingly Turning to Advertising Models for Profitability