AI, human intelligence, and the future of healthcare communications

The debate around AI in healthcare has settled into a routine. On one side, the optimists: AI will process data faster and surface insights buried in datasets too large for any human to analyse. On the other, the sceptics: AI hallucinates, lacks empathy, and cannot be held accountable when it gets things wrong.

Both sides are right. And both are missing the point.

The more useful question is not whether AI is better or worse than human intelligence, it is what each does well, and how the two can be structured to complement rather than compete with each other.

In medical and commercial strategy, the distinction matters enormously. AI is extraordinarily good at recognising themes across large datasets. It can flag anomalies, or model medical and marketing scenarios at a speed and scale no strategy or analyst team can match. These are real, material advantages.

But strategy goes beyond these tasks. Strategy is judgement under uncertainty. It requires an understanding of organisational dynamics, stakeholder psychology, human behaviour and culture, and the kind of contextual understanding that comes from years of being in the room when decisions are made. It requires the ability to ask the question that the data does not yet know to answer.

Human intelligence, particularly experienced human intelligence, brings something AI cannot replicate: the capacity to know what matters. Not just what the numbers say, but why they say it, what is missing from the picture, and what the right next move is. It also brings true authenticity. When a cohort of people use the same AI prompt to solve a complex challenge, there is a strong likelihood they will converge on the same outcome. One human, working independently, might arrive somewhere entirely unexpected, and that is often where the most valuable thinking lives.

The same tension plays out in healthcare communications. The pace of what is possible has shifted considerably. Tasks that once took weeks of analyst time can now be completed in hours. But faster outcomes do not always produce the quality and authenticity our industry relies on.

I tested this directly, using AI prompts to explore an evidence base and surface insights. Eventually I reached something meaningful, but there were gaps. The time taken to reach something viable was similar to the time taken to independently research, review, and draw my own conclusions. With the latter, at least, you know that you have strategically and conscientiously addressed those gaps, and applied the human lens that the science demands.

The illusion of completeness is a real risk. When a model can generate a comprehensive-looking analysis in minutes, it becomes tempting to treat that output as sufficient. It rarely is. The most consequential strategic questions are rarely the ones that can be answered with available data alone.

What AI changes is the cost of information. Insights that were previously expensive to generate are becoming cheaper and faster to produce. This is genuinely valuable. But cheaper information does not automatically produce better decisions.

The strategists and communicators who will thrive in an AI-augmented world are those who use AI to handle the answerable questions faster, and who invest the time saved into the questions that cannot be answered by a model at all.

The craft of strategy is not going away. It is becoming more important, not less. And the expertise that underpins healthcare communications is not lost or wasted - it is simply more focused.