OpenAI is more public and aggressive with its shopping features (partnering with Shopify, DoorDash) than its ad strategy. By first attracting thousands of merchants to its e-commerce waitlist, it's establishing a foundational transaction layer. This de-risks its future ad platform by ensuring a ready base of paying customers.

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According to Ben Thompson's Aggregation Theory, OpenAI's real moat is its 800 million users, not its technology. By monetizing only through subscriptions instead of ads, OpenAI fails to maximize user engagement and data capture, leaving the door open for Google's resource-heavy, ad-native approach to win.

For OpenAI's commerce features to succeed, it's not enough to build one-click checkout. They must fundamentally retrain hundreds of millions of users to trust a new purchasing workflow inside a chatbot, breaking deeply ingrained habits of searching on ChatGPT then buying on Google or Amazon.

By integrating shopping into ChatGPT, OpenAI can become a massive e-commerce engine. With a potential take rate of 15-30%, similar to Amazon or Meta, capturing just 20% of the $1.2T U.S. e-commerce market would generate tens of billions in new, high-margin revenue.

OpenAI's path to profitability isn't just selling subscriptions. The strategy is to create a "team of helpers" within ChatGPT to replace expensive human services. The bet is that users will pay significantly for an AI that can act as their personal shopper, travel agent, and financial advisor, unlocking massive new markets.

OpenAI has a strategic conflict: its public narrative aligns with Apple's model of selling a high-value tool directly to users. However, its internal metrics and push for engagement suggest a pivot towards Meta's attention-based model to justify its massive valuation and compute costs.

Ben Thompson's analysis suggests OpenAI is in a precarious position. By aggregating massive user demand but avoiding the optimal aggregator business model (advertising), it weakens its defense against Google, which can leverage its immense, ad-funded structural advantages in compute, data, and R&D to overwhelm OpenAI.

As competitors like Google's Gemini close the quality gap with ChatGPT, OpenAI loses its unique product advantage. This commoditization will force them to adopt advertising sooner than planned to sustain their massive operational costs and offer a competitive free product, despite claims of pausing such efforts.

OpenAI's partnership with Stripe to enable in-app purchases transforms ChatGPT from an information tool into a transactional platform. This creates a frictionless sales channel for e-commerce brands, directly challenging Google's established search-to-purchase business model.

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.

OpenAI plans to demand revenue shares from drugs developed using its AI and a cut of e-commerce transactions. This transforms its business model from a simple per-token utility into a complex, risk-involved partner in multiple industries, akin to a venture firm.