AI Walked Into the Room. Nobody Introduced It.
- gwen sparks
- 6 days ago
- 4 min read
The difference between AI that exists and AI that gets used? Communication.
Axios published a piece last week that should be pinned to the wall of every communications department in the country.
The thesis, stripped to its studs: AI’s adoption gap is becoming a communications gap. Not a technology gap. Not a training gap. Not a “we need a better platform” gap. A someone-needs-to-explain-this-to-humans-in-language-they-care-about gap.
For those of us who’ve been watching this unfold from inside communications, this feels less like breaking news and more like a diagnosis finally catching up to the symptoms.
The scoreboard no one asked for (but everyone needs)
Let’s start with the number that should make every AI-investing executive quietly close their laptop and stare out a window:
Execution failure (not tech failure): Gartner predicts that 60% of AI projects will be abandoned by the end of 2026. Not because the technology broke. Not because the models hallucinated one too many times. Because organizations couldn’t connect the investment to outcomes people understood. Sixty percent. That’s not a failure rate. That’s a communication breakdown with a budget line.
Adoption resistance (not fear): AvePoint surveyed employees about why they aren’t using AI, and the top answer — at 64% — wasn’t fear. It wasn’t complexity. It was “I don’t see the point.” Employees looked at the AI tools their companies invested in and collectively responded with the workplace equivalent of a shrug emoji.
Clarity gap (not capability gap): Unily found that only 14% of employees feel their organization is ahead on AI. More than half report having no known AI policy. Not a bad one. Not a confusing one. No policy at all, as far as they know.
So the tools are live. The budget was approved. The strategy deck has been presented at least three times. And the people who are supposed to use these tools are sitting at their desks wondering if any of it applies to them.
This isn’t a technology story. This is Tuesday in internal comms.
Every communicator reading this has seen this movie before. Leadership greenlights something transformational. Rollout happens. Adoption stalls. Six months later, someone schedules a meeting titled “Why Aren’t People Using The Thing?” and the comms team gets invited 45 minutes before it starts.
The difference with AI is the price tag. When a new expense reporting system gets ignored, the cost is annoying but survivable. When a multi-million dollar AI initiative gets a collective shrug from the workforce, that gap shows up on a balance sheet.
And yet, the response in most organizations has been to invest more in the technology and less in the story around it. More features. More pilots. More rollout emails with subject lines like “Exciting Update: Your New AI-Powered Workflow Is Here!” — which, for the record, no one has ever been excited to open.
The trust asset hiding in plain sight
Here’s where the data gets interesting for communications professionals specifically.
The 2026 Edelman Trust Barometer found that people trust their employer more than any other source — more than government, media, or business in general.
Which means the messages they hear at work carry more weight than anything they hear outside it.
And communications is the function shaping those messages.
That’s not just a nice stat for a conference slide. That’s a strategic position.
It means when employees hear about AI from their employer — through the channels comms professionals manage — they’re more likely to listen than if they heard it from literally any other source.
The gap between AI investment and AI adoption isn’t going to be closed by better onboarding UX or another training module. It’s going to be closed by someone inside the organization answering a deceptively simple question:
“Why should I care about this right now?”
That question doesn’t live in IT. It doesn’t live in HR. It lands in communications.
The shift that’s already happening (quietly)
The smartest organizations aren’t outspending their competitors on AI. They’re out-communicating them.
They’re treating AI adoption the same way they’d treat any major change initiative — with narrative strategy, audience segmentation, feedback loops, and the kind of plain-language translation that turns a product roadmap into something a regional manager can explain to their team over coffee.
Ragan and PoliteMail’s 2026 survey of internal communicators tells a revealing story: 75% of IC pros are using AI to draft content. But only 25% are using it for sentiment analysis, engagement prediction, or any of the strategic listening that would actually tell them whether their messages are landing.
Most comms teams are using AI to talk faster.
Very few are using it to listen better.
And the organizations that figure out that second part are the ones that will close the adoption gap — because they’ll know what employees actually need to hear, not just what leadership wants to say.
So where does this leave us?
Not in a bad place. Actually, in a very good one — if you’re in communications.
The data says AI adoption is stalling because of a narrative failure. The data also says your function operates inside the most trusted channel employees have. And the data says the tools to listen, translate, and personalize at scale are sitting right there, largely unused.
That’s not a crisis. That’s a brief. A really good one.
The organizations that treat AI adoption as a communications challenge — not just a technology deployment — are going to pull ahead. And the communicators who step into that gap are going to find themselves closer to the strategic table than they’ve been in years.
This is the latest in a series exploring the intersection of AI and communications. "The AI Shift is Already Taking Shape" explored the narrative gap between what employees are doing with AI and what leadership sees. “AI Automation Without Guardrails Is Just Hope” looked at what happens when systems move faster than judgment. This is the next piece of that puzzle: the gap is real, it’s measured, and it has our name on it. Not as a blame. As an opportunity.
Axios just handed communicators the data to make the case.
The only question left is whether we treat it like our job.
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