John Laverick

Note

The Scarce Resource May Be Trusted Access

As agents become capable enough to act, the limiting factor may stop being what the model can do and become how much context, permission and authority we are willing to give it.

3 July 2026 · Technology & Leadership, Governance & Responsibility

The first phase of the AI competition was largely about intelligence. Which model could reason better? Which wrote better code? Which produced the strongest answer?

Agents make the competition more complicated because an agent is only genuinely useful when it can act. And acting requires access.

A personal agent becomes more useful if it can see a calendar, read email, browse on someone’s behalf, remember preferences, access files or make a purchase. An enterprise agent may need identity, internal data, system permissions, budget authority, auditability and potentially the ability to make changes in production systems.

The capability can be excellent and still be of limited value if nobody is prepared to give it the keys.

That makes me wonder whether trust becomes one of the constraints on agentic AI.

The best agent may not be the smartest one. It may be the one you trust enough to let in.

There is a useful relationship here:

Capability requires access. Access requires trust. Trust determines usable capability.

That applies differently in consumer and enterprise settings, but the underlying problem is the same.

For an individual, the decision is partly about privacy, security and confidence in the company behind the agent. How much of my life am I comfortable exposing? Do I want it to remember this? Am I willing to let it act rather than merely advise?

Inside an organisation, those questions become architecture and governance.

Which identity does the agent use? What is it allowed to read? What is it allowed to change? Which actions need human approval? How much can it spend? What happens when it crosses a boundary? Can we reconstruct what it did afterwards? How quickly can we remove its authority?

That is where this connects to the idea of the organisational harness.

The model matters, but so do the permissions, context, integrations, workflows, evaluations, controls and audit trail around it. Those things accumulate.

Trust may accumulate with them.

Once an organisation has established enough confidence to let an agent operate inside meaningful boundaries, switching to another system is not simply a matter of comparing model quality. The surrounding trust relationship has to move too.

That could become a significant part of the platform competition around agents.

We may reach a point where several systems are intelligent enough for the task. The differentiator then becomes who can earn enough permission to use that intelligence properly.

In the agentic era, the scarce resource may not be intelligence at all.

It may be trusted access.

Originally published on Threads.