---
id: "claim-people-process-value"
type: "claim"
source_timestamps: ["§ Type 5: Organizational Capability Building"]
tags: ["value-creation", "culture"]
related: ["concept-organizational-capability-building", "contrarian-people-process-critique", "quote-people-process-map"]
confidence: "high"
testable: true
speakers: ["Baba Prasad"]
sources: ["spine"]
sourceVaultSlug: "hbr-seg-spine"
originDay: 1
articleStem: "hbr-edu-47-5-types-ai-investment"
sourceUrl: "https://hbr.org/2026/06/the-5-types-of-ai-investment-and-how-to-capture-their-value"
sourceTitle: "The 5 Types of AI Investment–and How to Capture Their Value"
---
# 70% of enterprise AI value comes from people, process, and culture

**Claim.** A persistent finding holds that **70% of the value** generated by enterprise AI initiatives comes from *people, process, and culture* rather than the raw technology. The author insists this should **not** be read as a critique of AI's technological capabilities, but as a literal *map* indicating where the real financial returns are hiding — specifically in [[concept-organizational-capability-building|Type 5: Organizational Capability Building]] investments. See the quote [[quote-people-process-map]] and the reframe [[contrarian-people-process-critique]].

Confidence: **high** (as a widely cited heuristic); testable: **yes** in principle.

**Enrichment / external validation.** The broader point — that AI value depends heavily on governance, operational change, human oversight, and process redesign — is well supported. But the exact **70%** figure is not substantiated by a primary source in the available results, so it reads more like a durable practitioner heuristic than a robust empirical law. Use it to direct attention, not to justify a precise budget split.


## Related across articles
- [[concept-absorptive-capacity-d4]]
- [[claim-human-bottleneck]]
- [[concept-behavioral-change-gen-ai]]
- [[contrarian-tech-is-not-the-bottleneck]]