Analysis — Select Content & Contributions
Analysis
The pieces product leaders and executives have found most useful — drawn from Product Impact and AI Value Acceleration. Each names a structural problem leadership had been unable to articulate, then proves it.
The platform
Product Impact Reports
A content and intelligence platform — podcast, newsletter, and publication — for the people building the agentic enterprise. Recurring interviews with product and AI leaders at Atlassian, Twilio, HubSpot, ServiceNow, IDEO, Apple, and Meta AI.
Featured · Product Impact
Original Analysis
- Most cited · LinkedIn · 49,160 impressions
Copilot didn't fail. It succeeded at the wrong thing.↗
The reframe that reached 49,000+ impressions by naming a structural problem enterprise leadership had been unable to articulate: the gap between deployment and value is a design problem, not a capability one.
- Enterprise AI · Adoption
Microsoft's Copilot Problem Isn't Adoption. It's Coerced Adoption.↗
The Product Impact analysis behind the reframe — why counting Copilot seats mistakes compliance for genuine adoption, and what that gap costs enterprise buyers.
- Future of Work
The Agentic Era: AI Agents and How Work Changes↗
What happens to team structure, roles, and knowledge work as agents enter the org — and how product leaders should be planning for it now.
- Frontier & Infrastructure
The 2026 AI Token-Economics Shock↗
The energy and infrastructure constraints reshaping deployment — alongside Physical AI: The Year AI Leaves the Text Box and Stanford AI Index 2026.
- Product Strategy
Why AI Capability Is No Longer Defensible↗
Capability stopped being a moat the moment every competitor could buy the same model. What actually holds up: workflow depth, data advantage, and switching cost — not the feature itself.
- Measurement
The Bullseye Framework for AI Product Impact↗
A structured way to measure what an AI feature actually delivers — power, speed, impact, and joy — instead of defaulting to usage counts that flatter the wrong metric.
- Enterprise AI · Risk
Gartner's Agentic AI Failure Rate Is the Floor, Not a Warning↗
Gartner puts agentic AI's failure rate at 40% — read here not as a caution sign but as the baseline leadership should be planning around.
- Adoption & Value Creation
The AI Adoption & Value Creation Playbook↗
A practical playbook for closing the gap between AI deployment and AI value — the moves that turn adoption into measurable outcomes.
- Strategy
Why AI Hasn't Found Its Killer Use Case↗
Every category has been promised its killer app. The evidence says the search itself is the wrong framing — and what leaders should be optimizing for instead.
Featured · AI Value Acceleration
Enterprise Research
- AI Value Acceleration
The Value Gap Report↗
A personalized diagnostic brief identifying where AI deployment value is failing at the behavioral layer — the moments in real workflows where value leaks away.
- AI Value Acceleration
The Orchestration Playbook↗
A strategic guide for enterprise leaders on building durable AI value through orchestration and context architecture — the 2026 inflection point.
- AI Value Acceleration
The AI Value Acceleration Roadmap↗
A three-phase roadmap for closing the enterprise AI value gap, with structural scenarios and an evidence framework — plus Agentic AI Is Already Failing Worse Than Copilots.