Harvard Business Review shared some simple examples of how to use AI for better meetings.
Three areas of potential use they called out :
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Using AI for preparation:
Surfacing relevant data or suggesting key issues and discussion points before the meeting begins -
Using AI as a ‘seat at the table’:
Having one participant responsible for prompting AI during meeting discussions, using AI for a specific role. For instance providing an alternative voice, such as a challenger voice or helping to craft a more compelling narrative for meeting output -
All participants using AI:
Not all the way through the meeting, but breaking out in short bursts individually to use AI for tasks like idea generation or reflecting of what a decision could mean for their part of the organisation
Takeaways For Leaders
There are simple things that many teams think of like note taking and distribution, but to do this alone is like having a 6 speed Ferrari and driving it in first gear.
Teams can use AI for so much more. One person using AI in isolation is not as powerful as having a couple of the team together partner with it. And as the recent research from Stanford/P&G showed, teams using AI together are way happier than either individuals using AI or teams without AI. And happier teams are more productive and more profitable.
That said, use of AI needs direction: help teams decide deliberately which meetings will benefit from AI support (e.g. strategic vs operational). Don’t sprinkle AI everywhere. Coach your team to understand how to question, critique, and correct AI output — teams must think of it as a co-thinker, not a saviour. Lastly, whilst AI-driven prompts and simulations can help sharpen the agenda and output, leave space for unscripted breakthroughs - meetings require human interaction first and foremost.


