The narrative of a zero-sum 'AI race' is misleading. Demand for agentic AI capabilities is expanding so rapidly that the market can support multiple winners. Even second or third-tier labs will likely be 'sold out of tokens,' indicating the industry is a rapidly growing pie rather than a winner-take-all fight for market share.

The market frets that cheaper open-source models cannibalize expensive frontier models. This is a misconception. Open source drives token elasticity, increasing total compute demand. It merely shifts high margins away from model providers to the underlying AI infrastructure players who provide the compute.

In this massive wealth-unlocking era of AI, worrying about moats or defensibility in the near term is a mistake. Founders and investors should reject zero-sum thinking and instead focus on identifying what is strategically important in the new world being created, as value is currently accruing across the entire stack.

Comparing today's AI competition to the cloud market circa 2010 suggests we'll see multiple massive winners. Just as AWS's early lead didn't prevent Azure and GCP from becoming hundred-billion-dollar businesses, the AI market is vast enough to support several dominant labs like OpenAI and Anthropic.

Cloud providers like Amazon and Google benefit regardless of which AI model wins. By structuring deals as large-scale compute commitments in exchange for equity (e.g., with Anthropic), they profit from cloud usage fees, drive adoption of their in-house silicon, and gain visibility into data center capex recovery, effectively hedging their bets across the entire AI ecosystem.

The narrative of a zero-sum battle between AI giants is misleading because the market is in its infancy. With less than 3% penetration, there is enormous room for growth for all players. New model releases currently lift the entire ecosystem rather than stealing market share from competitors.

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.

Investors initially dismissed AWS as a low-margin commodity, then later feared it would monopolize software. Both views were wrong. The cloud market was so vast it supported an oligopoly and large niche players (e.g., Snowflake). This same non-zero-sum dynamic is now playing out in the AI market, defying 'winner-take-all' predictions.

The media narrative pitting AI giants like OpenAI and Anthropic in a winner-take-all battle is flawed. The market is vast enough for multiple players to achieve massive success by dominating different verticals, such as consumer search versus specialized enterprise applications.