Stanford's Digital Economy Lab Enterprise AI Playbook documents bimodal ROI: 12% of enterprise AI deployments clear 300%+ ROI with 40-60% operational cost reductions; 88% sit at or below break-even.
- Source
- Stanford DEL · archived
- Academic published
- Logged
- Cadence
- 180 days
- Next review
- 2026-10-16
Why this was logged
The 51-deployment benchmark is the closest thing the enterprise-AI field has to a longitudinal ROI dataset. Our AM-022 + AM-018 are both anchored against this finding.
Review history
No reviews yet. First review scheduled for 2026-10-16.
This record tracks what the source stated, with evidence for the current verdict. Verdicts describe what the evidence shows, not vendor intent. See methodology for the full counter-evidence + review discipline.
Stanford’s 51-case set shapes how Gartner, McKinsey, BCG frame their own ROI narratives. The bimodal distribution specifically (12% top cluster, 88% bottom cluster) is a more useful framing than averages. Review at 180 days against the next DEL update.