Impending regulations like the EU AI Act will mandate agent accountability. Enterprises will be legally required to provide attribution for every agent action and implement a "kill switch" to instantly halt malicious agents. This makes centralized authorization a core compliance tool.

Enterprises will not adopt multi-agent AI without two non-negotiable conditions. First, effective guardrails must be in place to ensure safety and compliance. Second, systems must be interoperable, as enterprises will inevitably use agents from diverse vendors like Salesforce, Microsoft, and Google, not a single provider.

A new bill from Senator Mark Warner introduces a "duty of loyalty" principle, which would legally require AI agents to act in the user's best interest, not the developer's or an advertiser's. This applies a fiduciary-like responsibility to software.

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.

The rise of AI browser agents acting on a user's behalf creates a conflict with platform terms of service that require a "human" to perform actions. Platforms like LinkedIn will lose this battle and be forced to treat a user's agent as an extension of the user, shifting from outright bans to reasonable usage limits.

By running locally on a user's machine, AI agents can interact with services like Gmail or WhatsApp without needing official, often restrictive, API access. This approach works around the corporate "red tape" that stifles innovation and effectively liberates user data from platform control.

Todd McKinnon believes that while major platforms like Microsoft will try to create walled gardens for their AI agents, customer demand for interoperability will ultimately win. If market forces fail, he predicts government antitrust intervention, drawing a parallel to the historic unbundling of IBM's hardware and software businesses.

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.

Unlike the US's voluntary approach, Chinese AI developers must register their models with the government before public release. This involved process requires safety testing against a national standard of 31 risks and giving regulators pre-deployment access for approval, creating a de facto licensing regime for consumer AI.