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Essays on enterprise AI: strategy and go-to-market, adoption and implementation, governance and risk, and the craft of software underneath it all.
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The Multi-Model Mirage: Governance, Cost, and Accountability When Every Developer Picks Their Own AI
Enterprise AI coding environments now support a dozen model choices per developer. That flexibility is real. So is the governance vacuum it creates—and the cost exposure that accrues quietly under uncapped usage-based billing.
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Index · All writing
11 articlesThe Multi-Model Mirage: Governance, Cost, and Accountability When Every Developer Picks Their Own AI
Governance Jul 2026Benchmark Theater: The Leaderboard Is a Press Release
Strategy Jul 2026The Atrophy Risk: What Happens to Developers When AI Goes Dark
Strategy Jul 2026Polaris Rising: What the Copilot Model Swap Actually Changes for Enterprise
Strategy Jul 2026The Token Tax Thesis: Why Government Access to Frontier AI May Be About More Than Security
Governance Jul 2026Scaling AI in the Enterprise: What the Evidence Says Works
Adoption Jul 2026The Developer Premium: What Eighteen Months of AI Replacement Attempts Actually Cost
Adoption Jun 2026The Prototype Trap: Why Vibe Coding Platforms Have Limited Place in Enterprise Production Systems
Security Jun 2026The Reassignment Dividend: Why Displacing Workers Costs More Than Redeploying Them
Strategy Jun 2026The AI Subsidy Economy Is Ending—and Microsoft Saw It Coming
Strategy Jun 2026The Token Is the Unit: A Financial Leader's Guide to Enterprise AI Economics
Governance Jun 2026 From the archive Years of technical writing on React, Azure, and DevOps still live here.
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