AI Monopoly

In one week of January 2025, three events rewrote the AI competitive narrative. Project Stargate. The DeepSeek-R1 release. Nvidia's largest single-day market-capitalisation loss in history. Three days, three theses about where the moats in AI competition actually sit, each demonstrated in real time.

AI Monopoly is for the founder building a defensible AI business and the investor diligencing one. It is not a book about whether AI will reshape industries - that question is closed. It is a book about which kinds of position survive the next eighteen months and which do not.

Fourteen chapters across four parts plus a closer:

- Foundations - why traditional moats fail in AI, the four currencies that replace them, what an intelligent moat looks like
- Building and defending - the defensible AI stack, data strategy, ecosystem capture, defence in depth
- Challenges and headwinds - open versus closed, regulation as moat and minefield, the limits of scale
- The future - human capital, geopolitical fragmentation, ethical positioning as competitive advantage
- A ninety-day moat-build-and-assess programme - separate versions for operators and investors

Real cases throughout: Tesla's data flywheel, Adobe's Firefly position, GitHub Copilot, Cursor / Anysphere, the OpenAI / Microsoft restructuring, Anthropic's enterprise growth, Mistral's European positioning, Maersk's logistics AI. Failure cases too: Stability AI, Cohere's commercial trajectory, the vertical-AI 2023 cohort, the Adept / Inflection / Character pattern, Stack Overflow's surface erosion. The book engages with what does not work in AI competition, not only what does.

Five working appendices: the intelligent-moat assessment framework, strategic planning templates including a term-sheet diligence checklist and a board-level moat dashboard, a regulatory positioning matrix, case-study analysis methodology, and a brief on antitrust risk for operators pursuing aggressive moat-building strategies.

For founders signing term sheets and investors writing them.

Sotiris Spyrou advises boards, founders, and investors on AI strategy.