Platform Economies: How AI Is Rewriting the Rules of Platforms, APIs, and Partnerships

In 2018, M. Brückner predicted that platforms would concentrate power and APIs would democratize expertise. He was right about the direction. He was catastrophically wrong about the speed. AI has compressed decades into years. The comfortable middle - the space between being a platform and being compressed - has evaporated overnight. Platform Economies maps the three-pattern compression cycle that is reshaping every industry: - Efficiency over headcount - AI replaces junior expertise at scale, funding platform expansion- Value extraction from data - platform owners monetize the signals others generate- Platform absorption of features - standalone capabilities become free operating-system functionsThe book presents three survival models for organizations caught in the cycle: - The Platform Pivot - transform from service provider to capability publisher- The Hybrid AI Play - blend human expertise with AI delivery to buy time- The Status-Quo Trap - drift into compression by defaultAt the operational core is the APIOps Cycle - the five-line operating engine for the agentic era: Schema, Contract, Error, Agent, and Governance. With maturity models, readiness checklists, and transformation roadmaps, it provides the execution framework that turns strategy into production systems. With cases from Microsoft, Cloudflare, Grammarly, Spotify, and SAP, this is not a prediction. It is a field guide for the leaders who need to see the cycle from the outside - and act before the window closes. Build your engine. Or be compressed. For C-suite strategists, technical architects, and anyone building partnerships, APIs, or platform businesses in the age of AI.