---
id: "concept-responsible-rebels"
type: "concept"
source_timestamps: ["§ How Can Organizations Pick the Best Gen AI Projects?", "1. Fund the responsible rebels."]
tags: ["innovation-culture", "intrapreneurship", "leadership"]
related: ["contrarian-productive-variance", "action-fund-innovation-stage-gates"]
part_of: "framework-gen-ai-project-selection"
definition: "Internal innovators and practical rule-breakers who drive productive variance and new technology adoption without creating organizational chaos."
sources: ["spine"]
sourceVaultSlug: "hbr-seg-spine"
originDay: 1
articleStem: "hbr-cl-95-6-disciplines-genai"
sourceUrl: "https://hbr.org/2024/07/the-6-disciplines-companies-need-to-get-the-most-out-of-gen-ai"
sourceTitle: "The 6 Disciplines Companies Need to Get the Most Out of Gen AI"
---
# Responsible Rebels

Criterion #1 of the [[framework-gen-ai-project-selection|project-selection framework]]. Every organization contains **"practical rebels"** who desire to break the status quo to improve operations. While standard management focuses heavily on **operational standardization**, growth-oriented executives recognize the need to fund these individuals to drive **"productive variance"** without causing chaos — the underlying management paradox is [[contrarian-productive-variance]], crystallized in [[quote-standardization-vs-variance]] ("the heart of operational excellence is standardization, the heart of innovation is productive variance").

To harness their potential for Gen AI, organizations should establish **structured funding mechanisms** — such as stage-gated innovation funds requiring executive sponsorship — ensuring these rebels eventually demonstrate economic value to continue their work. The concrete mechanism is [[action-fund-innovation-stage-gates]].

Enrichment nuance: this maps to innovation-portfolio and change-management literature on sponsoring internal champions and starting with small, high-impact pilots. The "responsible" qualifier (stage gates + sponsorship + proof of value) is what distinguishes productive variance from ungoverned chaos.