Google used its Cloud Next 2026 conference in Las Vegas to confirm that the "Take notes for me" AI feature in Google Meet, available in video calls since 2024, is now extending to in-person meetings. Triggered from the Meet mobile app or desktop browser, the feature uses Gemini to listen, transcribe, and generate structured notes that are delivered directly into a Google Doc.
The framing Google chose for the announcement is worth noting. The company stated that the feature works "regardless of whether your meeting is in-person, or hosted on another provider like Zoom or Teams," positioning Gemini not as a feature of Meet specifically, but as a capture layer for conversations wherever they happen. That is a broader ambition than the headline feature alone suggests.
Two supporting Workspace updates arrived alongside it. Google Drive is gaining a Projects feature, a curated space combining files and emails that narrows the context of Gemini searches when answering queries, rather than trawling an entire Drive instance.
Additionally, Smart Canvas, previously available in Docs, is expanding into Sheets, enabling Gemini to convert spreadsheet data into interactive dashboards, heat maps, Kanban boards, and calendar views. Both updates point in the same direction of tighter integration between what gets said in meetings, what gets documented, and what gets tracked.
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The Market Context of Google Meet AI Arriving in Real Life
The timing is commercially interesting. The AI meeting assistant market, built on standalone tools such as Otter.ai and Fireflies.ai that filled a gap core productivity suites couldn't address, is projected to grow by $3.46 billion by 2029. But that gap is narrowing, and Google's move applies direct pressure to the category's pricing logic.
There is also an elephant in the room. This seemingly small upgrade to Google Meet teases that the tech giant is becoming a more direct competitor to the likes of Otter and Fireflies.ai.
Otter's Pro plan runs to $16.99 per month; Fireflies starts at $10 per seat. Google is bundling comparable functionality into existing Workspace Business and Enterprise tiers, meaning the incremental cost for many organizations could be negligible. For IT procurement teams reviewing their AI tool portfolios, that arithmetic is hard to ignore, even if the feature-for-feature comparison is not yet straightforward.




