When AI Enters the Room

Rebecca Bonds
2 days ago
3 min read

This insight did not come from a conference or a strategy session.

It came from a conversation by the pool.

I spent the afternoon with three retired friends, each from very different backgrounds. None of them work in technology. None of them are part of enterprise AI discussions. And yet all three were talking about how they were using AI tools to help with research tasks they were trying to complete.

They could all say “Chat.”

The “GPT” part… not so much.

But they were using it.

As the conversation evolved, they began asking about different tools — ChatGPT, Perplexity, Grok. I explained how each one worked and where they were most useful.

While I was speaking, one of them quietly picked up her phone.

She asked ChatGPT the same question.

Then she read the answer out loud to the group.

It supported exactly what I had just said.

At one level, this is a simple story about adoption.

At another, it represents something far more important.

AI is no longer just a tool people use after a conversation.

It is becoming part of the conversation itself — used in real time to validate, challenge, and interpret information as it is being shared.

That changes more than how work gets done.

It changes how decisions are formed.

In most organizations, decision-making still assumes a structured flow:

information is presented
discussion follows
validation happens later
decisions are made

That model is already changing.

Validation is now happening in the moment — often independently, and often without visibility to others in the room.

The most influential voice may not be the one speaking.

It may be the one quietly verifying information in real time.

This is where alignment becomes critical.

When leadership teams are aligned in purpose, priority, and decision authority, AI can serve as a powerful support tool — enhancing clarity, reinforcing direction, and accelerating informed decisions.

When that alignment is not in place, AI introduces something very different.

Purpose becomes fragmented as individuals begin operating from different interpretations.

Priorities shift as new information enters the discussion asynchronously.

Decision authority becomes informal and difficult to trace.

AI does not create these conditions.

It exposes them — and accelerates them.

Much of the current conversation around AI in healthcare remains focused on clinical workflows, documentation, and operational efficiency.

Those are important discussions.

But they are downstream.

The more immediate shift is happening at the leadership level.

AI is already influencing:

how information is interpreted
how expertise is validated
how perspectives gain influence
and how decisions begin to take shape

Often before organizations have established how AI should be used within those conversations.

This is no longer simply a technology discussion.

It is an executive operating discussion.

One of the most important signals from that afternoon was not the technology itself.

It was how naturally the behavior occurred.

These were not technical users.

They were individuals from completely different backgrounds using AI because the interface removed traditional barriers to entry. They did not need to fully understand the technology to begin receiving value from it.

That matters.

Because organizations are still debating how to implement AI while individuals are already incorporating it into everyday decision-making behavior.

The gap between organizational readiness and individual adoption is widening quickly.

As AI becomes an active participant in conversations, organizations must become far more intentional about: