---
id: "contrarian-people-process-critique"
type: "contrarian-insight"
source_timestamps: ["§ Type 5: Organizational Capability Building"]
tags: ["culture", "value-creation"]
related: ["claim-people-process-value", "concept-organizational-capability-building"]
challenges: "The view that reliance on people and process for AI success is a weakness or critique of the technology's inherent power."
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"
---
# The 70% people/process rule is a map, not a critique

**Conventional wisdom it challenges:** the persistent finding that [[claim-people-process-value|70% of enterprise AI value comes from people, process, and culture]] is frequently cited by skeptics as a *critique* of AI — implying the technology itself doesn't do much heavy lifting.

**Prasad's reframe:** it is not a critique of the tech but a **literal treasure map** showing executives exactly where to direct strategic investment — [[concept-organizational-capability-building|Type 5: Organizational Capability Building]] — to find real returns ([[quote-people-process-map]]).

**Enrichment / counter-counter.** The broader point (AI value depends heavily on governance, operational change, human oversight, process redesign) is well supported. Caveat: the exact 70% figure reads as a heuristic rather than a verified law, and organizational-transformation gains are hard to attribute *causally to AI alone* — they may ride on broader management changes, which complicates the [[concept-capability-premium|capability-premium]] claim.