Report: Automated Traffic Growth Outpaces Human by 8x

The composition of internet traffic is undergoing a dramatic transformation, with automated systems now expanding at a rate far exceeding human activity. According to a recent industry analysis, automated traffic surged by 23.5% last year, a growth rate approximately eight times faster than the 3.1% increase observed in human traffic. This shift is largely fueled by the explosive rise of AI-driven traffic, which saw its average monthly volume skyrocket by 187% year over year. The most staggering growth came from AI agents and agentic browsers, a category that includes tools like OpenAI’s Atlas and Perplexity’s Comet, which experienced a nearly 8,000% increase.

The report defines automated traffic broadly as all internet activity generated by software rather than people. This encompasses everything from traditional search engine crawlers and monitoring bots to modern AI-powered scraping tools. The findings lend credence to recent predictions that non-human traffic could surpass human web usage within the next few years.

For digital strategists, the implications are profound. The search ecosystem is no longer shaped solely by human queries and traditional crawling. AI agents are now active participants in discovery, comparison, and even completing transactions, both within conventional search results and across new AI-native interfaces. This evolution means that optimization strategies must adapt to consider how machines, not just people, interact with content.

The analysis breaks down AI-driven traffic into three primary categories. The largest segment remains training crawlers, which collect data for model development. While they still command 67.5% of all AI traffic, their share is declining as other categories scale rapidly. The second group, real-time AI scrapers, powers many modern search and answer engines. This category grew by nearly 600% last year. The third and most disruptive category is agentic AI systems. These autonomous task-executing agents, though currently smaller in volume, are growing the fastest and behave in increasingly sophisticated ways.

These advanced agents are beginning to mimic human user behavior far beyond simple content reading. They navigate website funnels, log into accounts, and initiate transactions. Last year’s data shows that 77% of observed agent activity targeted product and search pages. Nearly 9% involved account-level interactions, and more than 2% proceeded all the way to checkout flows, highlighting their potential to directly impact business metrics.

The underlying data for this report comes from an analysis of over one quadrillion interactions across a global customer base in 2025, with aggregated and anonymized data stretching back to 2022. The methodology for classifying traffic relied on user-agent strings, infrastructure signals, and behavioral analysis. The report’s authors note a key limitation, however, as some AI-driven activity may be undercounted or misclassified due to unreliable self-declared bot identities.

The fundamental takeaway is clear: the internet is becoming a less human-centric space. Digital discovery is expanding beyond traditional search engines, and effective content strategy now requires intentional decisions about which automated systems can access, interpret, and act upon a site’s information.