Latest Update
2026-09-26 11:10 UTC

Goldman Sachs: AI Needs $0.67 per Million Tokens for 15% ROIC

Goldman Sachs: AI Needs $0.67 per Million Tokens for 15% ROIC

Goldman Sachs converts $1.73T capex into AI pricing: hyperscalers require $0.67 per million tokens or $4.30 per GPU-hour to hit 15% ROIC as DeepSeek rates deliver negative returns.

Source

Analysis

Goldman Sachs turns its $1.73T Phase-2 capex target and 15% ROIC threshold into concrete AI numbers: hyperscalers must clear a blended ~$0.67 per million tokens or ~$4.30 per GPU-hour. DeepSeek-style pricing at $0.15–$0.30 input and $0.60–$1.20 output generates only low-single-digit or negative implied ROIC, so the build-out fails to cover depreciation and running costs. That gap between massive AI spending and collapsing token prices drives the AI industry impact on future infrastructure returns.


André Dragosch, PhD | Bitcoin & Macro

@Andre_Dragosch

European Head of Research @ Bitwise - #Bitcoin - Macro - PhD in Financial History - Not investment advice - Views strictly mine - Beware of impersonators.