Competitor bibliography (2026)

Step one of interference work: understand the consensus readers already carry, then decide what to break and what to borrow.

Direct competitors (occupying "AI Native") #

| Title | Author | Published | Core claim | Regenic counter-position | | --- | --- | --- | --- | --- | | AI Native | Kai-Fu Lee | Penguin Random House, 2026-09 | Thinking becomes free; reorganize around agentic AI | Lee says thinking is free; Regenic says judgment becomes the last scarcity | | Super Organization | Zhiwei Li, Jia Gao | CITIC, 2026-04 | Three-step AI-native transformation loop | Closest Chinese-market neighbor; keep distance on "context leadership" | | Enterprise Brain | Ragy Thomas et al. | Fast Company Press, 2026-06 | Install a cognitive architecture for the enterprise | Architecture view vs judgment/standards view | | Hyperadaptive | Melissa Reeve | IT Revolution, 2026-05 | Five stages to become AI-native | Borrow the "most AI projects fail because of people" data carefully | | The Agentic Enterprise | Giridhar LV et al. | Self-published, 2026 | Agentic ratio, diamond org, 30/40/30 | Too many concepts; useful as a cautionary example |

Concept competitors (consulting language) #

| Source | Term | Regenic response | | --- | --- | --- | | McKinsey / BCG AI operating models | "AI factory" | Regenic focuses on standards and context, not tool deployment | | Platform engineering vendors | "Internal developer platform" | Useful for execution collapse, not for judgment encoding |

Maintenance #

Update this bibliography through public pull requests with primary sources. Do not add confidential competitive intelligence or non-public customer comparisons.