Making the Internet Better for AI Agents Might Make It Worse for Everyone Else
The web was built for humans. Its visual hierarchy, navigation patterns, and content structures were all designed around how people read, click, and orient themselves across pages. AI agents operate differently — they parse, extract, and execute rather than browse — and accommodating that mode of interaction at scale may require changes to web infrastructure that cut against the experience of human users.
This tension is no longer theoretical. As AI agents become active participants in web-based workflows — booking, researching, transacting, form-filling — pressure is building on publishers, platforms, and standards bodies to make web content more machine-readable. The question is whether those changes come at a cost to the humans who still constitute the majority of web traffic.
The core structural issue is that human-optimized and agent-optimized web design pull in different directions. Humans benefit from rich visual context, layered navigation, and interfaces that communicate through layout and design language. Agents benefit from clean data hierarchies, predictable structures, and reduced interface noise. A page redesigned to serve an agent efficiently may strip away the contextual signals that help a human user orient themselves, evaluate credibility, or navigate with intent.
There is also an economic dimension. Web publishers have long depended on human attention as the currency of the internet — pageviews, time-on-site, and behavioral signals that drive advertising and subscription models. If AI agents begin retrieving and acting on web content without generating those signals, or begin interacting with structured data endpoints rather than rendered pages, the economic infrastructure of the open web faces a significant disruption. Optimizing for agents may accelerate a shift away from the ad-supported model that funds a large portion of publicly accessible content.
Standards proposals for agent-accessible web layers — structured APIs, machine-readable schemas, dedicated agent endpoints — are gaining traction in technical circles. Some platforms are already building parallel interfaces for automated access. The concern is that this bifurcation could deepen unevenly: large platforms have the resources to maintain both a human interface and an agent interface, while smaller publishers may be forced to choose, or may find that agents bypass them entirely in favor of better-structured sources.
There is also a security and trust layer to consider. Designing for agents means designing for automated action, and the same structural features that make a site easy for a legitimate agent to navigate make it easier to exploit at scale. Bot defenses have historically relied on behavioral signals that distinguish human from machine interaction. A web explicitly designed to lower friction for agents erodes those defenses by design.
From an operational standpoint, companies deploying AI agents for web-based tasks will benefit from any improvements in machine-readability — faster execution, fewer failures, lower error rates on structured extraction. But those same companies have a stake in the broader health of the web as an information environment. If agent-optimization degrades content quality or accelerates the retreat of open, human-readable publishing, the information landscape agents draw from becomes shallower.
The longer-term signal here is that the web is entering a period of contested redesign. AI agents are not passive consumers of existing infrastructure — their proliferation exerts active pressure on how that infrastructure evolves. The design choices made over the next few years, by standards bodies, major platforms, and browser vendors, will determine whether the web remains a shared environment or stratifies into separate layers for human and machine access. That stratification may be technically coherent and economically rational, while still representing a meaningful change to how information is published, found, and used.
Sources: — MIT Technology Review (https://www.technologyreview.com/2026/10/19/1147186/making-the-internet-better-for-ai-agents-might-make-it-worse-for-everyone-else/)