What kind of communicators are we becoming?

There is a question underlying most conversations about AI in corporate communications that we are not asking directly enough.

What kind of communicators are we becoming?

It is not about how fast we can produce content. Nor is it about how much we can automate. Instead, it is about what happens to judgment, storytelling and insight when the medium itself changes.

This is an urgent question because this change is happening right now. AI is much more than a new tool. It is a new environment that is already shaping our behaviour.

The medium changes more than the message

Every major shift in communication technology has done more than improve distribution. It has changed the way people think.

The printing press gave us linear thought, process and hierarchy. Broadcast media concentrated narrative power in institutions that could shape and frame events for mass audiences.

Digital media broke that model. It stripped institutions of their monopoly on narrative. Information became abundant. Authority became fragile. Communication moved from controlled to contested.

Marshall McLuhan, the celebrated Canadian media theorist, famously captured this dynamic decades ago with a simple but radical idea: “the medium is the message.”

What he meant was not that content doesn’t matter, but that the form of a medium shapes us more profoundly than the information it carries. Print encourages linear, structured thinking. Television privileges immediacy and emotion. Social media compresses attention and fragments narrative.

The real impact of a medium is not just what it shows us. It is how it changes how we think, interpret and engage with the world.

AI belongs in that category.

It is not just accelerating communication. It is reshaping the process behind it.

That has real implications for all of us.

What we risk losing

At its best, corporate communications has never been about output. It has been about making sense of complexity.

It is the function that connects what an organisation is doing with what it means. It turns activity into narrative. It provides coherence across decisions, actions and strategy.

That requires people who can read a situation, understand what matters, and construct a story that holds together under scrutiny. It is built on intuition, experience, memory and judgment.

AI is extraordinarily powerful at processing information, spotting patterns and accelerating analysis. Used well, it can deepen understanding.

But there is a subtle shift underway. One that feels incremental in the moment, but significant over time.

The risk is not that we stop communicating.

It is that we lose the ability to create the narrative ourselves.

If communicators become primarily editors of machine-generated outputs, something important begins to atrophy. The hard work of interpretation. The discipline of shaping meaning. The ability to hold complexity in your head and resolve it into something coherent.

And over time, that has consequences beyond communication.

That’s because if you lose the ability to construct the narrative, you begin to lose the ability to fully understand the organisation itself.

A better model: generative partnership

There is a more constructive way to approach this.

Experts in communication have described AI as something that can expand human knowledge and insight, but only if it is used as a partner in the process rather than a substitute for it.

That requires a different posture.

Instead of asking for answers, we use AI to explore questions. Rather than blithely accepting outputs, we interrogate them. We use AI as a way to extend our thinking and not as a substitute for thinking.

In this model, the human remains deeply engaged in the work of interpretation. They still construct the narrative. They still own the meaning.

AI accelerates and challenges that process but does not replace it.

That distinction is critical because it preserves the organisation’s ability to understand itself, not just describe itself.

Why this matters in energy

In sectors like energy, this question becomes particularly important.

You are operating in a system defined by complexity, trade-offs and scrutiny. You are constantly required to explain not just what is happening, but why it is happening and what it means.

That cannot be done credibly without genuine understanding.

And genuine understanding does not come from assembling outputs. It comes from engaging deeply with the substance of the organisation – its decisions, its trade-offs, its constraints and its intent.

If that engagement weakens, communication may remain technically accurate.

But it will lack conviction, and that deficit will be quickly exposed.

Culture still drives communication

At Aspect, we have always taken a simple view. Communication is an output of culture, not a substitute for it.

AI does not change that. If anything, it reinforces it.

The more powerful the tools become, the more important it is that organisations retain ownership of their own narrative. That they understand not just what they are doing, but how it fits together and what it means.

That is why we are explicit about how we use AI.

We use it to elevate thinking, not replace it. We expect people to engage with the problem before they reach for the tool. And we take responsibility for the narrative we create, regardless of how it is produced. 

That’s because, ultimately, our role is not to generate content.

It is to help organisations understand themselves and communicate that understanding clearly.

AI can assist but it cannot advise.