Despite fears that cheaper, open-source models would commoditize the market, the opposite is happening. While token usage for cheaper models is rising, the actual share of economic value (wallet share) is increasingly flowing to expensive frontier labs like Anthropic and OpenAI.

The AI market will bifurcate. Open models will dominate most commodity tasks. However, the most economically significant problems—like advanced scientific research—will rely on closed, frontier models, allowing them to capture a disproportionate share (30-40%) of the total economic value.

Contrary to the popular narrative that open-source AI will quickly commoditize the market, there is evidence that the frontier is accelerating faster than the open-source community can keep up. This potential divergence challenges the 'good enough' argument and suggests that proprietary models may maintain a significant, defensible lead for longer than expected.

Escalating compute requirements for frontier models are creating a new market dynamic where access to the best AI becomes restricted and expensive. This shifts power to the labs that control these models, creating a "seller's market" where they act as "kingmakers," granting massive competitive advantages to the highest corporate bidders.

Contrary to the belief that open-source models would quickly catch up, 2024 has shown the opposite. Frontier models are extending their lead, particularly in long-running tasks, which unlocks new enterprise use cases and allows them to capture the vast majority of revenue.

The value unlocked by frontier AI models is expanding so rapidly that there isn't enough hardware to meet demand. This scarcity ensures that not just the top lab (like OpenAI), but also second and third-tier competitors, will operate at full capacity with strong margins.

The market isn't a battle between proprietary frontier models and open-source alternatives. Instead, both are seeing parabolic growth. While open-source becomes more capable for simple tasks, the demand for cutting-edge capabilities unlocked by frontier models is also expanding rapidly, creating a positive-sum environment.

The moment a new, more powerful AI model is released, user demand for the previous “state-of-the-art” version collapses. This intense desire for the absolute best model means only the frontier provider has significant pricing power, while older, slightly inferior models become commoditized almost instantly.

Contrary to commoditization fears, the rise of powerful open-source AI models actually enhances the value of leading frontier models. The most advanced models become 'orchestrators,' leveraging armies of cheaper, specialized AIs, making their superior intelligence even more valuable for complex tasks.