OpenAI embodies the AI industry's central tension: exponential compute requirements colliding with linear revenue growth. The company ships fast, pivots strategically, and dominates consumer AI with Decision Latency (3.5), Error Correction (4.0), and Knowledge Velocity (4.0) all scoring in field-to-transitioning range. But Capital Intensity (8.5) is particle-state physics. Every capability leap requires 10x more compute. Training runs that cost millions in 2023 cost billions in 2026. The $1.4 trillion infrastructure commitment isn't excess. It's table stakes for maintaining leadership. But those commitments create Structural Lock-In (6.0) that constrains strategic options. Oracle needs OpenAI's IPO to service its bonds. CoreWeave's debt is collateralized by future compute demand. Microsoft
"You can have fast decision-making or extreme capital efficiency, but not both at frontier AI scale. OpenAI chose frontier. Now physics applies."
Get a full GPI breakdown across all 7 dimensions.
START WITH THE DIAGNOSTIC