WEF / Accenture $7.6–17.9T projection
The data
$7.6–17.9 trillion projected contribution to the global economy by 2038 via AI-driven revenue growth.
Supporting line items in the same paper:
- Leading AI adopters report 4.5% higher cost-efficiency ratios and 2.4× greater productivity than peers.
- 15% revenue outperformance by AI leaders, projected to more than double by 2026.
Source
World Economic Forum & Accenture. AI in Action: Beyond Experimentation to Transform Industry. January 2025. The $7.6–17.9T range is Accenture’s proprietary projection, surfaced in the WEF paper. Surfaced through wef-ai-in-action-2025.
What it shows
The canonical consultancy-bull number for the size of the AI economic prize. It is the single bull-case figure most in direct tension with task-based-tfp-ceiling: a <0.71% cumulative US TFP gain over a decade is incompatible with a $7.6–17.9T global contribution over the same horizon unless the surplus comes overwhelmingly from new tasks Acemoglu’s framework holds fixed.
The figure should be read knowing Accenture has commercial interest in framing AI value as managerially closeable through advisory work.
How to cite
Accenture projects AI will contribute $7.6–17.9T to the global economy by 2038 (WEF / Accenture, AI in Action, 2025).
Connections
- wef-ai-in-action-2025 — the source page.
- task-based-tfp-ceiling — the bear ceiling this projection collides with.
- foundational-enablers — what WEF claims unlocks this surplus.
- enterprise-adoption-ladder — the maturity path the projection assumes firms walk.
- H2_u-curve-of-value — if the surplus is this large, where it lands across the stack is the paper’s central question.
- scaling-gap-74-16 — the WEF paper’s own empirical artifact that complicates this projection.