Despite ChatGPT building features like Memory and Custom Instructions to create lock-in, users are switching to competitors like Gemini and not missing them. This suggests the consumer AI market is more fragile and less of a winner-take-all monopoly than previously believed, as switching costs are currently very low.

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Even with comparable model quality, user experience details create significant product stickiness for LLMs. Google's Gemini feels much slower than ChatGPT, and ChatGPT's mobile app includes satisfying haptic feedback. This superior, faster-feeling UX is a key differentiator that causes users to churn back from competitors.

Traditional SaaS switching costs were based on painful data migrations, which LLMs may now automate. The new moat for AI companies is creating deep, customized integrations into a customer's unique operational workflows. This is achieved through long, hands-on pilot periods that make the AI solution indispensable and hard to replace.

While ChatGPT is still the leader with 600-700 million monthly active users, Google's Gemini has quickly scaled to 400 million. This rapid adoption signals that the AI landscape is not a monopoly and that user preference is diversifying quickly between major platforms.

While individual AI companies see slightly lower retention than SaaS, Stripe's data reveals customers often churn from one provider directly to a competitor, and sometimes switch back. This indicates the problem being solved is highly valued, and the churn reflects a rapidly evolving, competitive market, not a lack of product-market fit for the category itself.

Unlike sticky cloud infrastructure (AWS, GCP), LLMs are easily interchangeable via APIs, leading to customer "promiscuity." This commoditizes the model layer and forces providers like OpenAI to build defensible moats at the application layer (e.g., ChatGPT) where they can own the end user.

Unlike the cloud market with high switching costs, LLM workloads can be moved between providers with a single line of code. This creates insane market dynamics where millions in spend can shift overnight based on model performance or cost, posing a huge risk to the LLM providers themselves.

While ChatGPT remains dominant, Google's Gemini has doubled its web traffic share in the last year as ChatGPT's has fallen. This trend mirrors the historical browser wars where an early leader like Netscape was eventually overtaken. Brands must now prioritize their visibility and strategy within the burgeoning Gemini ecosystem.

Unlike traditional SaaS where high switching costs prevent price wars, the AI market faces a unique threat. The portability of prompts and reliance on interchangeable models could enable rapid commoditization. A price war could be "terrifying" and "brutal" for the entire ecosystem, posing a significant downside risk.

Gemini is converting daily ChatGPT users not just with model capabilities, but with superior UX like better response sizing and perceived speed. Crucially, the trust in the Google brand for search is transferring to its AI, making users more confident in its reliability, even with less complex reasoning.

While personal history in an AI like ChatGPT seems to create lock-in, it is a weaker moat than for media platforms like Google Photos. Text-based context and preferences are relatively easy to export and transfer to a competitor via another LLM, reducing switching friction.