Box CEO: Enterprise agent deployment below 1%, at a turning point
Box CEO Aaron Levie believes that the proportion of enterprise workflows truly using agents is currently below 1%, with most merely having LLMs make judgments in single calls. With improvements in infrastructure such as computer use, long-running agents, and harnesses, agents can now enter more complex workflows; in the future, compute will be allocated on demand in the form of agent clusters, and enterprises need to restructure processes rather than having users prompt one by one. Information-intensive fields such as finance, life sciences, and healthcare will be significantly affected.
Topics
View original postwe remain in the autocomplete / early claude code era of enterprise workflow automation, but not for long
View original
we remain in the autocomplete / early claude code era of enterprise workflow automation, but not for long
Body
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.