Right now, OpenAI dominates the GenAI conversation much like Apple did in the early days of the Mac and iPhone—an exclusive, high-cost, high-curation model with strict control over its product lifecycle. This approach works brilliantly in the short term, creating the illusion of scarcity-driven value and a premium user experience. But in the long run, the cracks in this model start to show. Let’s look at three fundamental weaknesses of OpenAI’s current trajectory: 1. A Structural Bottleneck: Over-Reliance on Search and Static Training OpenAI's most urgent problem is its full dependence on internet search to provide users with up-to-date knowledge. At first glance, this might seem like an advantage—it makes ChatGPT appear "live" and relevant. But in reality, it's a massive strategic liability for several reasons: Search is an external dependency – OpenAI doesn’t own the sources it retrieves from (Google, Bing, or specialized databases). It relies on external...