“Open Protocols Can Prevent AI Monopolies” by Isobel Moure, Tim O’Reilly, Ilan Strauss

Can we head off AI monopolies before they harden? As AI models become commoditized, incumbent Big Tech platforms are racing to rebuild their moats at the application layer, around context: the sticky user- and project-level data that makes AI applications genuinely useful. With the right context-aware AI applications, each additional user-chatbot conversation, file upload, or coding interaction improves results; better results attract more users; and more users mean more data. This context flywheel - a rich, structured user- and project-data layer - can drive up switching costs, creating a lock-in effect that effectively traps accumulated data within the platform.

‍Protocols prevent lock-in. We argue that open protocols - exemplified by Anthropic's Model Context Protocol (MCP) - serve as a powerful rulebook, helping to keep API-exposed context fluid and to prevent Big Tech from using data lock-in to extend their monopoly power. However, as an API wrapper, MCP can access [...]

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Outline:

(02:33) From Commoditized Models to Context-Rich Applications

(07:46) How User Context Is Powering a New Era of Tech Monopolies - and Competition

(10:22) Can Protocols Create a Level Playing Field?

(12:38) MCP's Impact on the AI Market So Far

(14:16) MCP vs. Walled Gardens: The API Gatekeeping Problem

(16:06) To Save AI from Enshittification, Support Protocol-Level Interventions

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First published:
July 30th, 2025

Source:
https://aifrontiersmedia.substack.com/p/open-protocols-can-prevent-ai-monopolies

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Narrated by TYPE III AUDIO.