According to industry experts, the AI market is moving toward a future dominated by multiple specialized models rather than a single universal solution. In an analysis published by VentureBeat, former OpenAI executive Zack Kass and Not Diamond CEO Tomás Hernando Kofman argue that the AI landscape will continue to fragment and specialize. The authors challenge the common belief that AI development will result in a winner-takes-all scenario with a single dominant model.
The analysis reveals that most major companies now use multiple AI models rather than relying on a single provider, primarily to avoid vendor lock-in and to leverage specialized capabilities. Language models are becoming commoditized for basic tasks, while simultaneously developing specialized capabilities for specific applications like coding or mathematical calculations.
The authors draw parallels to human brain evolution and specialization, suggesting that distributed systems consistently prove more efficient than monolithic ones. They highlight the importance of “routing” – directing queries to the most suitable model while using cheaper alternatives when appropriate.
The experts emphasize that market fragmentation benefits innovation and cost efficiency while potentially creating safer and more controllable AI systems. They predict that AI capabilities will continue to expand beyond human-level intelligence, leading to further specialization rather than consolidation.