Saad Ullah
⬤ Something interesting is happening with how technical documentation gets read online—AI agents are now consuming it at roughly the same rate as actual people. @RohanPaul pointed out that this isn't just bots occasionally checking docs anymore. Instead, AI systems are treating documentation like a regular part of how they work, opening it routinely rather than only when something breaks. The data shows both total views and AI-driven views climbing throughout the year, but AI usage is accelerating much faster.
⬤ The numbers tell a clear story: total documentation views reached about 20.8 million by December, with AI viewership jumping from around 340,000 at the start of the year to nearly 10 million by year's end. That's a massive spike, and it suggests automated systems aren't just casual readers—they're becoming consistent, heavy users who pull up documentation as a standard step in their processes.
⬤ While human readership kept growing at a steady pace, AI usage really took off in the second half of the year. This matches the pattern of AI agents opening docs as part of their normal workflow instead of only when troubleshooting. The result? Fewer views come from individual people clicking around, and more come from automated processes running in the background.
⬤ Why does this matter? It's an early signal of how automation is changing the digital landscape. Documentation is becoming a resource that AI systems depend on to make decisions and execute tasks. As this trend continues, we'll likely see even more automated access to technical resources, reflecting broader changes in how software operates and how the balance shifts between human involvement and machine-driven processes across the board.
Saad Ullah
