Optimizing the Internet for AI Agents May Make It Worse for Everyone Else

When the Internet Opens Its Doors Only for AI

For a long time, website operators only needed to distinguish between two types of visitors: humans and bots. Automated programs like search engine crawlers, price comparison tools, and monitoring scripts have long enjoyed relatively clear-cut rules of passage. But the emergence of AI agents is breaking this binary structure—they no longer just "crawl content," but can click, fill out forms, compare prices and place orders, and even initiate conversations on behalf of humans.

According to observations from MIT Technology Review's newsletter The Algorithm, the internet is being redesigned to let these agents work smoothly. The problem is: the path paved for AI may simultaneously push ordinary users into a worse experience.

Bot Rules Are Being Forced to Change

For over two decades, the internet has managed automated traffic through a combination of robots.txt, anti-crawling mechanisms, and CAPTCHAs. The premise behind this system was that bots only perform "read" actions and their behavior is predictable. AI agents are different—they need to "write" and "operate": log into accounts, click buttons, submit orders. This means websites must open up deeper API permissions.

A direct consequence is that the barriers originally used to block malicious crawlers must now make exceptions for "legitimate agents." And distinguishing between well-intentioned agents and malicious automation is extremely difficult technically. Content platforms and e-commerce sites face a dilemma: open too much, and spam traffic and fraud follow; open too little, and they're excluded from the AI gateway.

robots.txt is a plain-text protocol file stored in a website's root directory, proposed by Martijn Koster around 1994 and later adopted by mainstream search engines as a de facto standard. Through directives like User-agent, Disallow, and Allow, it tells crawlers which paths can be crawled and which should be avoided. It's important to note that robots.txt is not a technically enforced mechanism but a "gentlemen's agreement": compliance depends entirely on the crawler's self-discipline, and website owners can only identify violators after the fact through logs and behavioral analysis. This also explains why, in the age of AI agents, relying solely on robots.txt is no longer sufficient—when visitors need to log in, submit orders, and call APIs, websites must introduce genuine identity authentication and access control rather than a voluntarily observed text declaration.

CAPTCHA stands for "Completely Automated Public Turing test to tell Computers and Humans Apart," proposed by Luis von Ahn and others around 2000. Its basic principle is to design recognition tasks that are easy for humans but difficult for machines—such as identifying distorted characters, clicking on specific objects, or dragging sliders. Early text-based CAPTCHAs have been largely defeated by OCR and machine learning, so they have gradually evolved into "invisible verification" combining behavioral analysis (mouse trajectories, click rhythms) with risk scoring. The problem is that when AI agents can simulate human browser operations, the boundary of CAPTCHA judgment becomes blurred: systems can only maintain differentiation by increasing task difficulty, which directly translates into extra time and frustration for real users.

What May Be Sacrificed Is the Human Experience

Approaches to optimizing the experience for agents often come at the expense of human users. Here are a few typical directions:

• Heavier verification steps: When websites can't distinguish agents from real people, CAPTCHAs become more frequent and more complex, forcing humans to bear higher verification costs.
• Content rewritten for machines: To make it easier for agents to parse, page structures may be simplified into machine-friendly formats, sacrificing the visual hierarchy and interaction details designed for humans.
• APIs over interfaces: Resources tilt toward APIs and structured data, and the priority of iterating on the web experience declines.

Each of these changes looks "reasonable" on its own, but stacked together they mean ordinary users' browsing experience is degrading without anyone noticing.

API (Application Programming Interface) is a contractual entry point for data exchange between software. Compared to web interfaces, it returns data directly in a structured format (usually JSON), without needing to render HTML, load images, or execute front-end scripts. For AI agents, calling an API is far more stable and efficient than "looking at a screen and clicking buttons," so platforms tend to consolidate capabilities at the API layer. But this also brings a structural shift in resource allocation: API stability, documentation, and rate-limiting strategies get polished first, while human-facing web interfaces may go without iteration for long periods. When a product's "main entrance" shifts from pages to APIs, ordinary users' experience demands around visual hierarchy and interaction feedback easily get pushed to the bottom of the priority list.

An Open Question With No Consensus Yet

The original The Algorithm article doesn't offer a clear solution, and this is precisely the real state of the industry today: no one knows how to draw the line between "making things work well for agents" and "making things work well for humans."

What is certain is that this issue won't stay confined to the tech community. As AI agents take on more and more everyday online operations, the underlying rules of website design, identity verification, and content distribution will all be renegotiated. And the people sitting at the negotiating table shouldn't be just AI companies and platforms.

One-line Summary

Restructuring the internet for AI agents may silently degrade the experience for ordinary users.

Paragraph Summary

The article points out that the internet has long managed traffic through a "human/bot" dichotomy, relying on robots.txt, anti-crawling mechanisms, and CAPTCHAs to maintain order. But AI agents no longer just crawl content—they need "write" and "operate" permissions such as logging in, clicking, and submitting orders, forcing websites to open deeper APIs and weakening existing anti-crawling barriers. Since it's technically difficult to distinguish legitimate agents from malicious automation, platforms are caught in a dilemma. More concerning is that optimizing for agents often comes at the expense of real people: CAPTCHAs become more frequent and complex, page structures are simplified for machines, and resources tilt toward APIs while web iteration degrades. The article emphasizes that the industry has no consensus on how to draw the line between agent experience and human experience, and this issue won't stay confined to the tech community.