As AI makes it trivial to scrape data and bypass native UIs, companies will retaliate by shutting down open APIs and creating walled gardens to protect their business models. This mirrors the early web's shift away from open standards like RSS once monetization was threatened.

Amazon's lawsuit against Perplexity's shopping agents is more than a web-scraping dispute; it's a strategic move to control how users access its marketplace. A win for Amazon could set a legal precedent allowing platforms to block third-party agents and force customers into proprietary AI ecosystems, stifling competition in agentic commerce.

ChatGPT's inability to access The Wirecutter, owned by the litigious New York Times, exemplifies how corporate conflicts create walled gardens. This limits the real-world effectiveness of AI agents, showing business disputes can be as significant a barrier as technical challenges, preventing users from getting simple answers.

Amazon's blocking of Meta's Muse isn't primarily about security; it's a defensive move to protect its massive advertising revenue. AI agents that purchase directly for users bypass the ad-laden browsing experience, threatening a business that generates more revenue than AI leaders like OpenAI and Anthropic.

Amazon's lawsuit against Perplexity's AI agent isn't just about a technical violation, but an existential threat. These agents can search the entire internet for the best product, turning the web into a decentralized 'Everything Store' and destroying Amazon's moat of centralized convenience.

While tech giants may create walled gardens to control AI access (akin to Netflix in streaming), agentic AI has a workaround. Instead of relying on APIs, these agents can take control of a user's browser and interact with websites directly, potentially circumventing platform restrictions.

Incumbent SaaS companies are starting to block API access for AI agents. They fear agents will bypass their user interfaces to perform the same functions, devaluing their core product and eroding the traditional per-seat revenue model.

Tech giants like Amazon and Meta are blocking each other's AI agents to protect their data and ad revenue. While this serves individual company interests, it creates a fragmented user experience that hinders the overall functionality and mass adoption of AI agents, undermining the entire ecosystem's potential.

The rise of personal AI agents represents a new layer of aggregation that threatens established platforms like Amazon. These agents can compare services and route purchases to the best option, turning dominant platforms into interchangeable suppliers. This forces incumbents to either block agents, ceding ground to competitors, or lose control over the customer relationship.