There is no shortcut from model capability to stable process

Summary

Aaron Levie argues that capable AI models still need substantial deployment work to run real business processes, and that enterprise agent support is becoming a major market opportunity; read the original tweet. The work required includes IT-system upgrades, giving agents reliable context, workflow redesign, defining human-agent roles, adoption support, and change management. Both AI labs and new firms are racing to build the implementation layer.

Key Claims

• Agents entering knowledge work beyond coding force organisations to modernise IT systems, workflows, and how humans and agents relate inside processes.
• There is no shortcut from model capability to stable business-process operation; deployment involves system upgrades, reliable agent context, workflow redesign, adoption, and change management.
• Implementation and support around agent deployment is creating new market opportunities for jobs and firms, which both AI labs and emerging vendors are recognising.

Quotes

• "This is a trend that’s early but going to get very big fast."
• "As agents enter knowledge work beyond coding, there is very real work to upgrade IT systems, get agents the context they need, modernize the workflows to work with agents, figure out the human-agent relationship in the workflow, drive adoption and do change management, and much more."
• "This is creating tons of opportunities across the market for new jobs and firms, and the labs are equally recognizing the criticality here."