AI Monopoly: Strategic Advantage in the Age of Artificial Intelligence (Executive AI Mastery)

By Sotiris Spyrou

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.

• Format: Paperback
• Language: English
• ISBN: B0H1Q7R9XC
• ISBN13: 9798196767388
• Release Date: August 2025
• Publisher: Independently published
• Length: 201 Pages
• Weight: 0.61 lbs.
• Dimensions: 9.0" x 0.5" x 6.0"