Google plans to update Chat with a new design, Duet AI tools, “huddles” for audio and video calls, capacity for 500K people in group channels, and more
Google is making some big changes to Google Chat, its answer to Slack and Microsoft Teams.
Context & Ripple Effects
Google Chat originated as the messaging half of Google’s split of Hangouts, while Meet took conferencing, in Google’s earlier Chat-and-Meet split. Google later tied Chat, Meet, Docs, and Gmail together in a broader workspace interface, making Chat a central coordination layer rather than a standalone messenger.
The planned update extends that direction with AI, lightweight calls, and very large channels. It also precedes Google’s beta effort to connect Chat with Slack and Teams, suggesting Google was pursuing both deeper native functionality and compatibility with established enterprise messaging systems.
First-order effects
- Google Chat users are set to receive a redesigned interface, Duet AI features, and huddles that combine audio-first conversations with optional video and screen sharing.
- Support for group channels of up to 500,000 people expands the kinds of large internal communities and broadcasts organizations can run in Chat.
Second-order effects
- Slack and Microsoft Teams face a more direct competitive comparison inside Google Workspace: messaging, ad hoc calling, and AI assistance can increasingly be evaluated as one integrated work surface.
- Organizations using multiple collaboration platforms gain more reason to assess Chat alongside their existing tools, particularly as Google also pursues cross-platform Chat messaging rather than treating migration as the only path.
Third-order effects
- If Google continues to unite messaging, meetings, documents, and AI in Workspace, the durable competition shifts from individual collaboration apps to ownership of the primary work surface.
- AI features may become a stronger differentiator in collaboration-suite buying, but their practical value will depend on how well they fit existing workflows and interoperable tool stacks.
The trend: This is one data point in AI workspace consolidation, as collaboration vendors bundle communication, meetings, and assistance into a single work surface.