Only 7% of teams use AI in meetings: the gap that should worry your committee
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?
Why don't teams use AI in meetings if they already use it alone?
How does this translate to the hotel sector?
Is buying AI licences enough to close that gap?
What practical cases does the article cite for redesigning meetings?
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