notitur.com September 15, 2026
Artificial Intelligence1 min read

Only 7% of teams use AI in meetings: the gap that should worry your committee

JSBy Joan SanzCurated by Joan Sanz. · September 15, 2026 · Follow on LinkedIn
Voice reading · ~1 min

Only 7% of teams use generative AI inside their meetings. That number lands hard next to the 49% of professionals who use it daily on their own. That gap is 'The 7% Problem', the analysis published by Hospitality Net, which maps two HBR book case studies straight onto hotel leadership formats and strategy sessions.

The quick read is that the tool is already in people's hands. The useful read is different: what's broken is the collective ritual. A sales manager drafts a proposal with ChatGPT, a revenue manager asks an assistant for a forecast draft, and then they walk into the room and everything snaps back to the usual PowerPoint. AI stays at the door.

In my view the fix isn't more licences, it's redesigning the meeting: what gets asked beforehand, what gets summarised live, who validates. In a revenue committee or a pre-opening briefing, putting AI into the script shifts the conversation from 'what we believe' to 'what the data says'. That 7% isn't a ceiling, it's an untapped floor.

Quick questions

What exactly is the 7% problem with AI and meetings?
It's the gap between individual use of generative AI (49% of professionals use it daily) and its use inside team meetings, which sits at just 7%. The bottleneck isn't the tool, it's the meeting format.
Why don't teams use AI in meetings if they already use it alone?
Because collective rituals haven't been redesigned. People prepare material with AI individually, but once they enter the room it's back to the usual PowerPoint and the tool stays outside.
How does this translate to the hotel sector?
It touches revenue committees, pre-opening briefings and strategy sessions. Putting AI into the meeting script shifts the conversation from 'what we believe' to 'what the data says', according to the Hospitality Net analysis.
Is buying AI licences enough to close that gap?
No. The analysis points to a format problem, not an access problem. You need to decide what gets asked beforehand, what gets summarised live and who validates the output inside the meeting.
What practical cases does the article cite for redesigning meetings?
The piece maps two case studies published by HBR on leadership formats and strategy sessions, applied directly to the hotel context. The idea is to bring AI into the session script, not just the prep work.

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