The Twenty Minute VC (20VC) · Saturday, September 26, 2026
Pagg Agrawal explains that the scale of agentic web usage necessitates a 10-100X improvement in search efficiency compared to current human-centric models. This is due to agents potentially being more impatient (requiring sub-second responses) or operating in the background with different output needs (tokens or files, not just blue links).
“Now, if you think about, let's say agents actually do end up searching the web 1000X more. If we spend the amount of compute we currently spend per web search. That's too much compute for web search. So you now need to make it way more efficient by perhaps, I think 10 to a 100X for it to make sense.”
“Agents are not like that. Agents are gonna perhaps tell you exactly what they're looking for, not like three keywords, but like a full sentence, like this is what I'm trying to do.”
“The output is not the same. So the inputs are different, the time you have is different, the output is different. The output is in blue links, the output is tokens or files on a file system, depending on the type of agent.”