Low agent penetration reflects how far most industries lag behind the frontier
Howie Liu's reaction to Sequoia's agent deployment chart is that it absolutely reflects the underpenetration of AI in industries that could already be disrupted or benefit with even today's AI capabilities. His view: if you took frontier agents today and deployed them into every one of those categories, you should eventually get to 100%. Most companies and industries are barely catching up to the three-year-ago state of the art, let alone disrupting themselves with the new state of the art.
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Small businesses are deploying AI agents faster than 50,000-person companies ever could
In Hyper Agent's early adoption base, small shops have become surprisingly sophisticated very quickly and are running their operations in genuinely game-changing ways. The reason is simple: a 50,000-person company can't pivot on a dime — th
Hyper Agent targets both power users and casual users with the same product
The design philosophy behind Hyper Agent is to serve the full range of users — from power users who want granular control over how the agent is set up, so they can squeeze out maximum bleeding-edge performance, all the way to people who jus
Choosing an agent platform means choosing an ecosystem — pick deliberately
Greg Isenberg frames platform selection as an investment decision: when you pick a platform — whether it's OpenClaw, Hyper Agent, Codex, or something else — you are investing in an ecosystem. That framing matters because the switching costs