Jan 12, 2023

Large Language Models are becoming the drafters, the base layer for many segments of work. It makes sense then that this new space of ideation and creation should be shared, with others, as are all of our other work tools.

ChatGPT recently launched its “Teams” feature for enterprise users. In theory, it provides collaborative AI-powered workspaces. In practice, it falls short.

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Where ChatGPT’s Teams Product Misses the Mark

Fundamentally, Teams is a billing change, not a new product. There’s no shared workspace or visibility into what others are doing. It’s individual accounts with consolidated billing - no actual team functionality.

The current offering lacks critical components for real collaboration: ambient awareness, seamless workflows, branching conversations. It feels like a play for multi-seat contracts rather than meaningful innovation.

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The Essence of True Collaboration

Building a robust platform for AI and human teamwork has major technical challenges. But over-promising on collaboration while simply repackaging existing capabilities is disappointing.

The potential, and need is there for real group participation between AI and people. Unfortunately, Teams in its current state doesn’t deliver on that promise. For now, it’s more sizzle than steak when it comes to true collaborative functionality.

Excited to hear OpenAI has launched ChatGPT for Teams, you sign up only to find that

Things you can’t do on ChatGPT for Teams:

  • Chat with your team

  • See your teams’ chats

  • Create Group Chats with AI’s and People

Things you can do on ChatGPT for teams:

  • Share Billing

  • Share custom GPTs

Disclaimer: Author works on Vello.ai an LLM client with actual real-time collaborative spaces.