From Managing People to Managing Agents: The IT Logical Restructuring Every Executive Must Face

When Jensen Huang mentioned OpenClaw in his speech and asserted it to be the most popular open-source project in human history, the entire industry was left with a massive question mark: How could a project only weeks old surpass the achievements of Linux's thirty-year legacy?

Many viewed this as an exaggeration, but that is only because they failed to recognize the paradigm shift behind it. Linux solved the problem of how computers manage hardware to keep programs running stably—essentially helping humans "control computers." OpenClaw, however, solves the problem of how AI agents manage tools to get tasks done—essentially helping agents "control the digital world."

In the past, corporate IT systems were designed to "help humans use tools." The future of IT, however, is centered on "helping agents get things done." This logical reversal requires every manager to rethink their strategy: When your workforce includes hundreds or thousands of agents, how exactly do you manage them?

Step 1: Formulate an AI Agent Strategy

Executives must lead the way in auditing business processes to identify which workflows can be executed by agents, such as financial bookkeeping or sales follow-ups. It is recommended to establish a dedicated team to select a specific business touchpoint for a small-scale pilot. Once the human-agent collaboration workflow is proven in a real-world scenario, it can be scaled across other departments, ensuring the company isn't merely following the crowd after competitors have already completed their iterations.