ChatGPT launches group chats: the first step towards moving from individual AI to real collaboration

ChatGPT estrena chats en grupo: el primer paso para pasar de la IA individual a colaboración real

Brain Code |

Issue: Generative AI · Collaboration · Productivity
Technology:
ChatGPT (OpenAI)

What are ChatGPT group chats?

ChatGPT's group chats allow multiple people to interact simultaneously with the same AI model within a shared conversation.

According to the advertised functionality:

  • A chat can include up to 20 participants .
  • Access is managed through invitation links.
  • All participants see the same conversation history.
  • AI acts as a shared co-pilot , not as an individual assistant.

This change marks a turning point: AI ceases to be an isolated tool and becomes integrated into collective work dynamics.

From individual AI to collaborative AI

Until now, the dominant use of generative AI was individual:

  • A person → a prompt → a response.
  • The context and reasoning remained confined to private conversations.
  • Learning was not shared.
  • With group chats, the model changes:

Individual AI

Collaborative AI

Personal use

Shared

Private context

Common context

Isolated decisions

Collective decisions

Individual learning

Networked learning

AI is beginning to behave as a common space for thought , not just as a consultation tool.

Real-world use cases of AI-powered group chats

AI-powered collaborative chats open the door to concrete uses in professional environments:

1. Work teams

  • Joint drafting of documents.
  • Shared information analysis.
  • Brainstorming with shared memory.

2. Training and learning

  • Practical classes with AI support.
  • Collective resolution of doubts.
  • Building cumulative knowledge.

3. Decision making

  • Joint evaluation of options.
  • Contextualization of data in a group.
  • Record of the reasoning followed.

In all cases, AI ceases to be "someone's tool" and becomes the team's tool.

Why is this change relevant for businesses and organizations?

Most organizations don't work individually, but in multidisciplinary teams . However, AI adoption has so far been fragmented.

Group chats:

  • They reduce knowledge silos.
  • They increase the traceability of decisions.
  • They facilitate the collective adoption of AI.
  • They improve consistency in criteria and responses.

This advance brings generative AI closer to its natural use in real-world work environments.

Current limitations of group chats

Although the progress is significant, there are still clear limitations:

  • They do not replace complex collaborative tools.
  • Managing permissions and roles is essential.
  • Quality depends on the level of collective prompting.
  • They require maturity in the use of AI on the part of the team.

It's a first step , not an end point.

What does this move tell us about the future of AI?

The introduction of group chats points to a clear trend:

Generative AI evolves from individual assistant to shared cognitive infrastructure.

This implies:

  • More focus on collaboration than on individual productivity.
  • Context is more important than the isolated prompt.
  • More value in the process than in the final answer.

Frequently Asked Questions (FAQ)

How many people can participate in a ChatGPT group chat?

→ Currently, until 20 participants can be part of the same chat.

Are group chats replacing tools like Slack or Teams?

→ No. They are complementary. They contribute shared reasoning, not complete communication management.

For what type of equipment is this functionality most useful?

→ Knowledge teams: consulting, training, strategy, analysis, innovation and management.

Is this a feature designed for businesses?

→ Although it can be used informally, its greatest impact is in professional and organizational environments.

Conclusion

ChatGPT's group chats represent a structural change in the use of generative AI.
It's not just a new feature, but a paradigm shift : from AI as an individual tool to AI as a shared space for thinking and collaboration.

For organizations, teams, and professionals, this is the true beginning of collaborative AI.

Leave a comment