Frameworks — Brian Madden

Named models and lenses I use to analyze how AI reshapes knowledge work. Each framework captures a specific argument and provides a tool for thinking about enterprise AI strategy.

The 7-stage roadmap for human-AI collaboration (2026 Edition) From faster search to the published self—seven stages mapping how AI enters knowledge work, reframed in 2026 around what the worker does and becomes. Stage 3 (AI as a cognitive extension / second brain) is new for this version. knowledge-workai-agentshuman-ai-collaborationenterprise-ai The bitter lesson of workplace AI Simple, worker-driven AI adoption beats elaborate IT-engineered solutions. Every time. The endgame is more radical than most enterprises expect. enterprise-aiworker-led-adoptiongovernanceshadow-ai The factory electrification analogy Early factories wired electric motors to the same belt-drive shafts. It took 30 years to redesign around electricity. AI adoption is following the same arc. enterprise-aidigital-transformationinfrastructure The cognitive stack The enterprise AI industry is spending billions on the wrong layers. A five-layer model showing where the real transformation lives. cognitive-stackagentsdelegationclaws Delegation, not automation Workers don't think like programmers, they think like managers. They want to hand off tasks, not build workflows. The industry is investing at the wrong layer of the stack. delegationautomationskills-hierarchyagents The five levels of AI in knowledge work As AI handles more production work, the human role shifts from doing to directing to verifying. Five levels mapping that evolution. knowledge-workhuman-ai-collaborationgovernancesecond-brain The invisible 80% of knowledge work The 80% of knowledge work that only the worker can see is exactly the 80% that corporate AI cannot touch. That is why worker-led AI wins. knowledge-workworker-led-adoptionenterprise-aisecond-brain The knowledge factory Stop pointing AI at your raw document pile. Build a curated canonical context layer of versioned, cross-linked knowledge blocks, let AI maintain it and generate every downstream asset from it—the shared, departmental second brain. knowledge-factorysecond-braincanonical-context-layerknowledge-blocks The post-application era Software creation costs are approaching zero. The application layer that defined enterprise IT for 30 years is collapsing. What replaces it changes everything. enterprise-aigovernancepost-applicationmcp Subscribable brains Stop publishing content. Start publishing your structured knowledge repo—and let subscribers integrate your expertise into their own AI systems. second-braincreator-economymcpknowledge-work The workspace as control plane AI is showing up everywhere—in apps, browsers, OS, standalone tools. The only place you can govern all of it consistently is the workspace layer. governanceenterprise-aisecurityworkspace