---
id: "entity-stanford-digital-economy-lab"
type: "entity"
source_timestamps: ["§ When Experimentation Looks Like Rule-Breaking"]
tags: ["research"]
related: ["claim-trust-predicts-hiding", "claim-governance-targets-wrong-problem"]
entityType: "organization"
canonicalName: "Stanford Digital Economy Lab"
aliases: []
sources: ["execution"]
sourceVaultSlug: "hbr-seg-execution"
originDay: 8
articleStem: "hbr-cl-76-employees-not-transparent-ai-usage"
sourceUrl: "https://hbr.org/2026/06/why-employees-arent-transparent-about-their-ai-usage"
sourceTitle: "Why Employees Aren’t Transparent About Their AI Usage"
---
# Stanford Digital Economy Lab

**Role in the source:** Cited research authority on the *non-technical* barriers to AI adoption. Conducted a study of **51 enterprise AI deployments**, finding that **77% of the hardest challenges** in AI adoption had *nothing to do with the technology itself* — but instead with factors like earning trust from skeptical teams.

This is a key external corroboration of the vault's central move: reframing AI adoption failure as a *trust/people* problem rather than a tooling problem — reinforcing [[claim-trust-predicts-hiding]] and [[claim-governance-targets-wrong-problem]].

**Enrichment / canonical anchor:** the Stanford Digital Economy Lab page; frequently cited in enterprise-AI adoption research.