For AI startups, the biggest challenge may not come from other new companies, but from the powerful platforms they rely on, like OpenAI, Anthropic, or Google. These large companies frequently update their technologies, and sometimes features that AI startups have spent time and resources developing end up being replicated or improved by these platforms. This situation is changing how startups make decisions about their products, raise money, and plan for the future. Instead of just worrying about competing with other small companies, founders now have to consider how to stay ahead when the big players in the AI world are constantly evolving their offerings. This issue is being discussed at a session titled "What Happens When OpenAI Ships Your Roadmap" at TechCrunch Disrupt 2026, a major event for startups and investors in San Francisco. The session will be led by Michel Tricot of Airbyte, Rob Toews of Radical Ventures, and Linda Tong of Webflow. They will explore how startups can maintain their unique value in an environment where even their best ideas might be quickly absorbed by larger AI companies. One of the biggest risks for AI startups is that the features they develop to stand out could become standard offerings from the big platforms. As these platforms rapidly improve their models, the unique advantages that once made a startup competitive can quickly become common features. This means that founders are not only competing with other startups but also with the very platforms that power the AI industry. The session will also look at what sets apart successful AI companies. It suggests that the next generation of winners might not be those with the most advanced models, but those with unique assets that can't be easily copied, like specialized data, deep customer relationships, or domain-specific knowledge. Founders will discuss how to build defensible businesses in a landscape where even strong products can eventually be absorbed by larger platforms. The focus is on creating lasting value in an environment where the underlying technology is always changing.