Making the Internet Better for AI Agents Might Make It Worse for Everyone Else
Millions of AI agents are descending on a web built for humans. Websites are trying to keep them out, but the arrival of these new visitors could transform the internet.
By James O'Donnell | October 19, 2026
The Agentic Web Arrives
The web was designed for human eyes and human hands: pages rendered for browsing, links clicked by curiosity, forms filled out by intent. In 2026, that assumption no longer holds. Autonomous AI agents now book appointments, compare prices, fill out tax forms, and negotiate purchases on behalf of users at scale. What was once a trickle of automated traffic has become a flood—and the infrastructure of the internet is straining to accommodate it.
Websites are responding in two opposing directions. Some are building agent-friendly interfaces, structured data feeds, and machine-readable APIs designed to welcome automated visitors. Others are deploying aggressive bot detection, CAPTCHAs, and paywalls to keep them out. Both approaches, critics warn, risk degrading the experience for the humans the web was originally built to serve.
The Case for Welcoming Agents
Proponents of the "agentic web" argue that adapting to AI visitors is not just inevitable but beneficial. If an agent can parse a product catalog, verify availability, and complete a transaction, the friction of online commerce drops dramatically. Travel booking, insurance comparison, and appointment scheduling—tasks that consume hours of human time—can be delegated entirely. Companies like Anthropic, OpenAI, and Google have spent the past two years pushing standards such as structured product feeds, agent authorization protocols, and machine-readable terms of service to make this vision real.
The economic incentive is clear. Websites that block agents risk losing access to a growing share of consumer activity. By 2026, industry estimates suggest that agent-initiated transactions account for a meaningful and rising fraction of e-commerce volume, particularly in categories like travel, retail, and financial services. For many businesses, accommodating agents is no longer optional.
The Cost to Human Users
But the same infrastructure that makes the web legible to machines can make it hostile to people. Consider the trade-offs:
- Simplified interfaces. Pages optimized for agent parsing often strip away visual richness, interactive elements, and nuanced design—the very features that make browsing pleasant for humans.
- Paywalls and gating. As publishers struggle to monetize content that agents consume without clicking ads or subscribing, many are erecting stricter access controls that also inconvenience human readers.
- Degraded search. Search engines increasingly prioritize agent-optimized results, pushing human-oriented content down the rankings.
- Security friction. Anti-bot measures designed to distinguish humans from agents—endless CAPTCHAs, behavioral verification, device fingerprinting—add friction to every human visit.
The result is a web that works better for machines and worse for the people who still use it directly.
Who Controls the Gate?
A deeper concern is governance. As agents become the primary interface between users and online services, the protocols that govern agent access become a form of infrastructure—and whoever controls them controls the web. In 2026, that power is concentrated among a handful of AI labs and platform companies. Standards bodies like the W3C and IETF have begun work on agent authorization frameworks, but the pace of commercial deployment has outpaced formal standardization.
Regulators are taking notice. The EU AI Act's transparency provisions, phased in through 2026, require disclosure when automated agents interact with services on a user's behalf, and several national governments are exploring rules for agent authentication and liability. Yet enforcement remains fragmented, and the technical standards underlying agent access are still largely shaped by private interests.
A Fork in the Road
The internet faces a genuine fork. One path leads to a dual-layer web: a machine-optimized substrate for agents and a dwindling, gated human layer. The other leads to a web designed from the start to serve both—where agent access is structured, transparent, and accountable, and where human experience is treated as a first-class requirement rather than an afterthought.
Getting there will require more than technical fixes. It will demand new business models for content that don't depend on human attention alone, governance frameworks that give users and publishers a voice in how agents operate, and a serious commitment to preserving the openness that made the internet valuable in the first place.
Making the internet better for AI agents is not inherently a zero-sum proposition. But without deliberate effort, the path of least resistance—optimizing for the most powerful new users—could leave everyone else behind.