人工智能和机器人已经正式接管了互联网。
AI and bots have officially taken over the internet

原始链接: https://www.cnbc.com/2026/03/26/ai-bots-humans-internet.html

## 人工智能现在主导互联网流量 一份来自网络安全公司Human Security的新报告显示,人工智能和机器人已经超过人类用户,成为互联网流量的主导力量——这是我们使用网络方式的一个里程碑式的转变。2025年,自动化流量的增长速度几乎是人类活动的八倍,激增了187%,这得益于ChatGPT、Gemini和Claude等大型语言模型的普及。 这并非一定意味着负面影响;自动化流量包括有用的功能,例如谷歌的AI概览。然而,这标志着一个根本性的变化——每一种互动背后都有一个人类用户的假设正在迅速消失。该报告强调了“代理型”人工智能的大幅增加,这种人工智能能够自主行动。 虽然准确量化机器人流量仍然具有挑战性,但基于超过一万亿次互动的的数据表明,机器正在成为在线的主导力量,这促使我们需要在一个日益由人工智能驱动的世界中建立信任和安全。

人工智能和机器人已经正式接管互联网 (cnbc.com) 8 分,作者 zaikunzhang 35 分钟前 | 隐藏 | 过去 | 收藏 | 3 条评论 帮助 jve 1 分钟前 | 下一个 [–] > 机器不好,人类好的观念并不现实。很高兴找到这句话。人工智能能够代替我搜索网络,即使是查找我在国外购买的特定/类似花生在当地哪里有售,这很有帮助。回复 jruohonen 22 分钟前 | 上一个 [–] 物联网流量早已超过“人类流量”,Netflix 等消耗大量带宽,所以我不确定新闻的重点在哪里。回复 theshrike79 7 分钟前 | 父评论 [–] 物联网流量和流媒体流量对普通人来说是“不可见”的。你的智能温湿度计不会在 Reddit 上发帖,假装只是一个担心卧室有点太暖的人。回复 指南 | 常见问题 | 列表 | API | 安全 | 法律 | 申请 YC | 联系方式 搜索:
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原文

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Bots have taken over the internet.

The State of AI Traffic report released Thursday by Human Security, a cybersecurity firm, showed that artificial intelligence and bots have officially eclipsed human users.

"The internet as a whole was created with this very basic notion that there's a human being on the other side of the computer screen, and that notion is very rapidly being replaced," Stu Solomon, CEO of Human Security, told CNBC.

Automated traffic, defined by Human Security as "internet traffic generated by software systems (including AI) rather than human users," has surged rapidly as people continue to turn to AI chatbots for daily questions.

That automated traffic across the internet grew almost eight times faster than human activity in 2025, according to the report.

Proliferation of large language models like OpenAI's ChatGPT, Anthropic's Claude and Google's Gemini has played a large part in AI traffic, which increased 187% from January to December 2025 according to the report.

"Machine-based traffic is effectively replacing humans as the dominant form of traffic on the other side of the internet," Solomon said.

Human's report was based data from its Human Defense Platform product, which it says processed over one quadrillion interactions across its customers. The process of quantifying automated activity across the entire internet can pose challenges, however, since there isn't one complete database of interactions.

"You can try to estimate the amount of bot traffic by looking at the agent strings, but these are very noisy estimates," Filippo Menczer, a professor of Informatics and Computer Science at Indiana University, told CNBC.

"They depend on what sample you get. They are depending on where you're getting the data, where the measurements are coming from," Menczer said.

User-agent strings are self-identified labels from web crawlers.

Human's report acknowledges that while it used user-agent strings to identify AI operators, "the reliability of that self-identification is a growing concern."

The report also addresses the surge in agentic activity from AI agents like OpenClaw that perform actions autonomously for a user. While 2024 agentic volume was extremely low, Human Security saw that traffic grow almost 8,000% in 2025.

Automated traffic includes popular features like Google's AI Overview and autofill, and is not necessarily malicious.

"This notion of machine bad, human good just is not realistic," Solomon said. "You have to live in a world where machines are acting on our behalf, and we have to establish a level of trust that's persistent over time."

Though the Human Security report isn't comprehensive, it serves as a significant benchmark in the AI age of the internet.

The industry has tracked the steady climb of automated traffic since the launch of ChatGPT in 2022.

At the SXSW conference last week in Austin, Cloudflare CEO Matthew Prince said that the internet was about 20% bot traffic prior to the generative AI era, and was mostly driven by Google's web crawler.

Prince predicted that AI bots would exceed human traffic by 2027, citing "the rise of generative AI and its just insatiable need for data."

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