
Three distinct strategic philosophies have emerged in AI. OpenAI pursues research breakthroughs. Google consolidates under DeepMind. Amazon bets that when models commoditize, the winners will be those who can serve AI cheapest at enterprise scale.
The Three Philosophies
OpenAI: Research-First. Pursue frontier capabilities, monetize through products.
Google: Lab-First Integration. Consolidate under DeepMind, leverage distribution.
Amazon: Infrastructure Mastery. Own chips, cloud, models – optimize the full stack.
Amazon’s Distinctive Bet
Amazon is not trying to out-research Google or out-product OpenAI. They’re betting model capabilities will converge – and when they do, the differentiator becomes cost, reliability, and scale.
This is the “commoditize the model, own the distribution” playbook: Books commoditized content (Amazon.com). Computing commoditized servers (AWS). AI commoditizes models (Trainium + Nova).
The Anthropic Wild Card
Amazon’s $8B Anthropic investment provides model leadership, safety alignment, and an acquisition option. Now they’re in talks to invest $10B+ in OpenAI too. The AI race costs too much for clean competitive lines.
Key Takeaway
As startup defensibility analysis shows, Amazon is playing a different game entirely.
Source: Amazon’s AI Superstructure on The Business Engineer









