The commoditization of AI models is inevitable, but the enduring value will come from a small number of providers who can deliver highly personalized and context-aware models.

I believe that the best AI models will emerge from a fragmented landscape, where innovation is driven by competition and the ability to leverage resources effectively.

As AI models improve, the expectation is that they will converge in quality and pricing, making it essential for startups to build software that leverages this intelligence effectively.

The intelligence of AI models is becoming a commodity, and companies need to adapt by focusing on delivering software that solves real-world problems.

The better the AI models become, the more opportunities there are for startups to leverage these advancements. Startups need to be proactive in building their products in anticipation of new model releases rather than reacting to them.

As AI models improve, B2B companies can leverage these advancements to upsell features and enhance customer value without the end user needing to understand the underlying technology.

AI companies often struggle to define the value they generate, leading to uncertain pricing strategies as they experiment with different models.

If only one company has the most powerful AI model, it can be detrimental for startups that rely on that model. However, if multiple companies offer equally powerful models, startups have a safer environment to innovate.

Being cheaper than competitors is often a losing strategy. As AI models become more capable and affordable, differentiation through unique value propositions becomes increasingly important.