Internal projections reveal ads are a core long-term strategy, not an experiment. OpenAI expects "free user monetization" to generate $110 billion through 2030, with average revenue per user (ARPU) growing from $2 to $15. Gross margins are targeted at 80-85%, mirroring Meta's highly profitable ad business.

While the market seeks revenue from novel AI products, the first significant financial impact has come from using AI to enhance existing digital advertising engines. This has driven unexpected growth for companies like Meta and Google, proving AI's immediate value beyond generative applications.

While other AI companies are hesitant, Google is expected to lead LLM ad integration. As a company built on ads, it is culturally positioned to implement monetization quickly and effectively, unlike competitors that may view ads as a necessary evil rather than a core competency.

A novel ad format would allow brands to sponsor access to premium features for free users. For example, McKinsey could underwrite deep research queries, or Nike could present a branded "training mode." This transforms advertising from an interruption into a value-additive, branded experience that enhances the core product.

The ChatGPT app's blank start screen represented wasted real estate. The "Pulse" feature transforms this into a personalized feed based on user history. This creates a highly valuable, monetizable surface for ads placed *between* prompts, avoiding the conflict of serving ads within direct AI responses.

To introduce ads into ChatGPT, OpenAI plans a technical 'firewall' ensuring the LLM generating answers is unaware of advertisers. This separation, akin to the editorial/sales divide in media, is a critical product decision designed to maintain user trust by preventing ads from influencing the AI's core responses.

OpenAI plans to personalize ads not just on immediate queries but by analyzing a user's entire chat history. This creates a powerful hybrid of Google's intent-based advertising and Meta's interest-based profiling, going beyond simple sponsored links to offer deeply contextual promotions.

The long-term monetization model for consumer LLMs is unlikely to be paid subscriptions. Instead, the market will probably shift toward free, ad- and commerce-supported models. OpenAI's challenge is to build these complex new revenue streams before its current subscription growth inevitably slows.

Instead of traditional cost-per-click models, ChatGPT could pioneer a "verified outcome" system where advertisers pay only upon a completed transaction and user satisfaction. This would inherently favor advertisers with superior products that lead to actual conversions, improving ad quality and relevance for all users.