The authenticity paradox
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Why more AI in internal communication is creating a hunger for more human connection
There is something quietly contradictory happening inside organisations right now.
Artificial intelligence is being used to draft messages, summarise leadership updates, adapt tone and generate content at scale. Communication teams are moving faster. Output is increasing. Workflows are more efficient.
And at the same time, employees are becoming better at detecting when a message was not really written by anyone.
They may not always be able to name it. But they feel it.
That feeling is the paradox this article is about.
The efficiency gain is real
I am not writing this to argue against AI in internal communication. I use it. Most communicators do.
According to PoliteMail and Ragan Communications’ 2026 Internal Communication Trends Report, 75% of internal communicators now use generative AI to draft or edit content. Only 22% say they are not using it at all in their workflows.
The efficiency gain is genuine and significant. Drafting time decreases. Consistency improves. Translation becomes accessible. Repetitive tasks stop consuming strategic capacity.
That is not a problem. That is progress.
The problem is something else entirely.
What the data is also showing
There is a reason this matters more now than it did five years ago.
Employees are navigating significant uncertainty. AI is reshaping roles, redefining workflows and raising questions that most organisations have not answered clearly. According to MetLife’s 2026 Employee Benefit Trends Study, 61% of employees are worried about the ethical and safety risks of AI at work. The same study found that 59% are concerned it will make their jobs obsolete.
People are anxious. And anxious people are not looking for polished messages. They are looking for signals that someone is actually paying attention.
When a leader sends a message that reads like it was generated in thirty seconds, employees do not think: how efficient. They think: does this person know what is happening here? Do I matter enough for a real conversation?
Communication that feels automated does not just fail to reassure. It actively increases the distance it was supposed to close.
The hunger underneath the noise
There is a reason this matters more now than it did five years ago.
Employees are navigating significant uncertainty. AI is reshaping roles, redefining workflows and raising questions that most organisations have not answered clearly. According to MetLife’s 2026 Employee Benefit Trends Study, 61% of employees are worried about the ethical and safety risks of AI at work. The same study found that 59% are concerned it will make their jobs obsolete.
People are anxious. And anxious people are not looking for polished messages. They are looking for signals that someone is actually paying attention.
When a leader sends a message that reads like it was generated in thirty seconds, employees do not think: how efficient. They think: does this person know what is happening here? Do I matter enough for a real conversation?
Communication that feels automated does not just fail to reassure. It actively increases the distance it was supposed to close.
This is not about banning AI
I want to be precise about the argument I am making.
This is not a call to stop using AI in internal communication. It is a call to think intentionally about where it adds value and where it quietly subtracts it.
Automation is not the enemy of authenticity. Thoughtlessness is.
Sunrun, one of the largest residential solar companies in the United States, offers a useful illustration of this distinction. With 11,000 employees spread across more than 20 states, many of them solar installers working on rooftops or inside customers’ homes, the company built an AI-powered intranet that answers employee questions in real time, directly from a mobile app. Content views tripled. Operational friction decreased. That is AI doing exactly what it does well: removing barriers to information at scale.
But Wyatt Semanek, the company’s Director of Corporate Communications, was clear about where the boundary sits. Trust, he said, is built through storytelling and not through explaining how the algorithm works. The internal language, the cultural references, the phrases that only mean something inside that organisation: those are not things AI generates. Those are things communicators protect.
The infrastructure handled the operational layer. The human voice handled everything else.
AI is well-suited to operational updates, logistics, structured information, translated content and analytical summaries. These are messages where accuracy and clarity matter more than presence.
But there is another category of communication, the kind that travels during change, that names difficulty honestly, that connects people to purpose or to leadership, where the absence of a human voice is felt immediately.
That category requires a decision. Not a prompt.
The strategic question for internal communicators
If content is becoming a commodity and the research suggests it already is, then what defines the value of internal communication?
I keep returning to something Jonas Bladt Hansen said in a conversation published on this blog earlier this year: that if internal communication defines itself through output, it will eventually be compared directly to the cost of a Copilot subscription.
The discipline survives that comparison only if it claims something AI cannot replicate. Not speed. Not volume. Not even quality of language.
What it can claim is interpretive judgment. The ability to read the organisation, understand what employees are carrying, and decide with intention when a message needs to feel like it came from a person because it did.
That judgment is not a soft skill. It is a strategic one.
What the paradox is asking of us
The authenticity paradox is not a crisis. It is a clarification.
It is forcing internal communication to define what it actually does when content creation is no longer its primary differentiator.
The answer, I think, is not less AI. It is more consciousness about what we are choosing to automate and what we are choosing to protect.
When an organisation uses AI to free up time, the question that follows is: time for what?
If the answer is more content, the paradox deepens.
If the answer is better judgment, closer proximity to what employees are experiencing, and more intentional decisions about when a human voice is not optional, then the paradox becomes something useful.
It becomes an invitation to operate at a different level entirely.