Trust Is the Scaling Constraint
AI can expand output quickly, but trust determines whether that output can be used, delegated, and scaled.
Source basis: McKinsey, The Agentic Organization
AI can create more output.
That is not the hard part anymore.
The harder executive question is whether the organization trusts the output enough to use it. Trust is what determines whether AI remains a clever assistant or becomes part of the operating model.
McKinsey’s work on the agentic organization points to humans and AI agents working together at scale. I agree with the direction, but I would add one caution: scale will be limited by trust architecture.
Leaders need to know:
- What data did the agent use?
- What decision did it make or influence?
- What policy governed it?
- What human reviewed it, if review was required?
- What happened when the agent was uncertain?
Without those answers, AI output stays fragile. People may use it, but they will not confidently delegate to it.
Trust is not a feeling. It is an operating condition.
The companies that scale agentic work will not be the ones that eliminate oversight. They will be the ones that make oversight precise enough that the business can move faster.