AI adoption without awareness is just expensive optimism.

Research. Experience. Field notes.
Helping leaders adopt AI responsibly, before the system is installed, not after.

Explore themes
01AI Awareness & Adoption Readiness

What an organization actually understands about AI before it buys it, and the conditions that decide whether that adoption compounds.

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02Power & Governance

Who decides, who's liable, and how authority gets reproduced at the top of the org chart and across the labor market.

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03Institutional Pressure

Why organizations copy each other under uncertainty, and what that costs when the technology is moving faster than the institutions governing it.

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04Firm Structure

Boundaries, geography, and the exploit-versus-explore tradeoff, how the shape of the firm constrains what it can do next.

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05People at Work

Commitment, labor, and the human conditions that decide whether new technology lands or bounces.

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01 — Latest research

The Innovation–Adoption Paradox

Why a nation's capacity to invent AI does not predict its capacity to deploy it.

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02 — Featured class reflections

Firm Boundaries and the Geography of Digital Work

A class reflection on whether digital coordination shrinks the firm — and whether it disperses or re-concentrates the multinational.

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Institutional Costs of AI for Small Retail

A reading brief on incomplete and captured AI institutions, language-culture, and why AI literacy becomes a survival strategy for small retailers.

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03 — Field notes

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04 — Sources

All citations, in one place.

Every reference across the writings, deduplicated and grouped by theme.

05 — Podcast

Cohort in Progress

Taking you along the doctorate journey, AI comes up often, but the through-line is the cohort's work itself.

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