{"slug": "the-internet-is-not-ready-for-the-agentic-wave", "title": "The Internet Is Not Ready for the Agentic Wave", "summary": "HUMAN Security reported AI-driven traffic grew 187% in 2025 and AI agents plus agentic browsers grew 7,851% year over year, according to the company's 2026 State of AI Traffic & Cyberthreat Benchmarks. The analysis argues the web's core assumption that users are human — embedded in authentication, fraud detection, rate limits, advertising, and consent screens — is breaking down as browser-use and computer-use agents such as Perplexity's Comet Browser move from lab demos to shipped products. Bot-traffic reports from companies like Imperva already put automated traffic at around half of all web requests, and the piece contends the commercially important layers of the internet will adapt to agents, but faster than prior waves like mobile and streaming allowed.", "body_md": "# The Internet Is Not Ready for the Agentic Wave\n\n[AI](https://www.builder.io/blog/topics/ai)\n\nThe internet basically assumed everyone on it was human. If you weren’t, something was probably wrong. Almost everything we interact with today, from UI and authentication to checkout, was built with one assumption in mind: a human is using it. Someone who reads, clicks, thinks, and moves one step at a time.\n\nLLMs bring a very different kind of user.\n\nSo what happens when the internet’s biggest assumption, that its users are human, is no longer true?\n\n## **The rise of agentic traffic**\n\nWe took some time getting online. Around 16 million people were on the Internet worldwide in 1995. By 2005, that number was roughly a billion. After that, another billion or so every few years.\n\nMost of us might have seen the internet grow. Dial-up became broadband. Broadband became mobile. Mobile became 5G. All the internet folks (browsers, ISPs, security teams, etc.) had years to adapt to each new wave.\n\nThe teams adapting the web for agents may not get that luxury.\n\nNon-human traffic has already been a huge part of the web for years. Bot-traffic reports from companies like Imperva regularly put automated traffic at around half of all web requests, sometimes even higher. And that was before we started talking about agents. Agents like OpenClaw barely registered in server logs a few years ago. Now they are becoming a category of traffic that infrastructure teams actually have to think about.\n\nIn traffic observed across its customer base, [HUMAN Security](https://www.humansecurity.com/learn/resources/2026-state-of-ai-traffic-cyberthreat-benchmarks/) reported:\n\n- AI-driven traffic growth in 2025: 187%\n- AI agents + agentic browsers year-over-year growth: 7,851%\n\nNow, the problem isn't the crawlers, but the agents that can actually do things. They can compare ten tabs of pricing, fill out a form, complete a checkout, or make a reservation—all on someone's behalf, and at crazy speeds!\n\nBrowser-use and computer-use agents quickly went from lab demos to shipped products like Perplexity's Comet Browser.\n\nThe web has had decades to adapt to humans. It may have only a few years to adapt to software acting on their behalf.\n\n## **The web assumes you’re human**\n\nWe don't usually think much about little things we do on the internet. We land on a page, look at the nice website design, do the CAPTCHA, hover over things, click around, wait for the response, and decide what to do next.\n\nThat whole experience assumes a person is doing all of this.\n\nAuthentication flows expect someone to log in. Fraud systems look for patterns that tell them a human is probably behind the request. Rate limits cap how many requests a client can make in a given period. And the advertising business depends on that person actually paying attention. Even things like permissions, consent screens, and terms of service ultimately assume there's a human making the decision.\n\nBut agents don't need to behave that way.\n\nThey can move through a UI without reading it the way we do. They can call APIs, retry failed requests, run thousands of actions, and make decisions between steps without getting bored or tired. They don't necessarily follow the path the interface designer imagined.\n\nTo be fair, every prior wave—mobile, streaming, IoT—got the same \"internet isn't ready\" treatment on arrival. And every time, the commercially important parts of the web eventually adapted because there was money to be made.\n\nI don't think the agentic wave will be any different. The difference is how quickly it might happen, and which layers of the internet have to change first.\n\n## Designed for eyes, not for reasoning\n\nWe don't need to read the HTML to know a red button in the corner probably deletes something. Color, placement, icons, a decade of UI convention—the brain fills the gap without much effort. An agent looking at the same page has a much harder job. It has to work out what things mean from the way they were implemented.\n\nScreen readers have been dealing with this problem for years. Agents run into a similar problem when they act on a user's behalf. A poorly structured page doesn't just make one element confusing. It can make the agent misunderstand the task it's trying to complete.\n\nAnd some agent systems are taking an expensive way around that problem. Instead of relying on the page structure, they look at the page, take a screenshot, send the image to a vision model, and reconstruct what’s on the screen from the pixels.\n\nIt works. But it’s a little backwards. The page already knows that something is a `