Box CEO：企业智能体部署不足1%，正迎转折
This is correct. The vast majority of enterprise workflows have not actually had agents applied to them in any meaningful way. The economy probably has this dep
Box CEO Aaron Levie 认为，企业工作流中真正应用智能体的比例目前不足 1%，多数只是让 LLM 单次调用做判断。随着 computer use、长时运行智能体和 harness 等基础设施改进，智能体已能进入更复杂工作流，未来将以智能体集群形式按需投入算力，企业需重构流程而非让用户逐个提示。金融、生命科学、医疗等信息密集型领域将受显著影响。
查看原帖我们仍处在企业工作流自动化的自动补全／早期 Claude Code 时代，但这种情况不会持续太久
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we remain in the autocomplete / early claude code era of enterprise workflow automation, but not for long
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This is correct. The vast majority of enterprise workflows have not actually had agents applied to them in any meaningful way. The economy probably has this deployed < 1% right now.
At best you have a few automated systems in a company that do a single pass of an LLM to make a decision or provide feedback, but very little real “automation”. Some of this is a statement about the adoption rates of technology in enterprises, but the vast majority of it is really just due to the capability of AI itself.
That’s all changing. Now with computer use, long running agents, harness improvements and surrounding infrastructure, we’re finally at a point where we can start to apply agents at more complex workflows.
We will see self-improving systems that can take any particular workflow goal and improve the execution rates over a volume of instances. And with the emerging form factor of agent swarms, you can just choose to deploy any amount of compute at a problem and agents will off and do the work.
This won’t be about and users prompting agents to complete a specific task for them, but instead the organization reengineering the underlying workflows to take advantage of agents in their processes. This will have a massive impact in finance, life sciences, healthcare, and other information-heavy domains. Lots of opportunity to build and deploy these systems right now.