Aaron Levie：AI 智能体采用仍高度两极分化
AI agent adoption is still very bimodal right now. You have coding and coding adjacent tasks which have taken off, and then everything else.
Box CEO Aaron Levie 认为 AI 智能体采用目前高度两极分化：编程及编程相邻任务已经起飞，其余知识工作仍处早期，因为多数工作流需要围绕智能体重构，涉及数据打通、问责与责任机制、治理合规和安全升级。即便在编程领域，也只有一小部分开发者让后台智能体并行推进项目，多数人仍是 1:1 使用智能体。他预计未来智能体采用量将是目前的 100 倍。
查看原帖I very very very strongly disagree and think that AI adoption in the enterprise beyond coding is basically at the starting line
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AI agent adoption is still very bimodal right now. You have coding and coding adjacent tasks which have taken off, and then everything else.
And even within coding, you have a very wide continuum of adoption patterns, with some likely a small percentage of developers deploying background agents working on projects in parallel, and the rest of everyone else still working with agents 1:1.
Then, there’s the entire rest of knowledge work where real agentic adoption is still very early. The reason for this is that most of the workflows still need to reengineered to work with agents.
This isn’t the same as deploying a chat system for better research efficiency, but instead requires workflows to be rebuilt, data to be wired up in new ways, new practices for accountability and liability of decisions when agents are in the mix, governance and compliance paradigm changes, security upgrades, and more.
We’re still so unbelievably early in what this is going to look like outside of a few categories of work right now. This is why you can basically expect 100X more agent adoption from what we’ve seen so far.