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Jack Dorsey's Buzz Puts AI Agents at the Team Chat Table

Jack Dorsey's Buzz Puts AI Agents at the Team Chat Table

Jack Dorsey on Tuesday unveiled Buzz, a new workplace group chat platform built by Block — the company also behind Square, Cash App, Afterpay, and Tidal — designed to place AI agents alongside human teammates as equal participants in shared conversations. The announcement positions Buzz as a direct challenger to Slack, with a premise that goes beyond adding an AI chatbot: agents in Buzz operate as full workspace members with their own cryptographic identity, permissions, and activity history.

Dorsey described Buzz as built to reduce Block's dependence on both Slack and GitHub by consolidating chat, code repositories, and AI workflows into a single tool, according to TechCrunch.

What Sets Buzz Apart

Buzz is built on Nostr, a decentralized communication protocol that records activity as cryptographically signed events. Each participant — human or AI agent — receives an identity with its own permissions and auditable history. Agents can post messages, review code, and execute approved workflows as independent members rather than bots that only respond when prompted, Crypto Briefing reports.

The platform is model-agnostic and supports agents built on Claude Code, Codex, and Block's own Goose framework, among others. It is released under the Apache 2.0 license and available as a free desktop application for macOS, Windows, and Linux, with teams able to choose between a hosted version or fully self-hosted infrastructure.

Buzz is not alone in the space. Georgios Konstantopoulos, partner and CTO at crypto investment firm Paradigm, has built Centaur, an open-source AI-agent integration that runs within Slack or via API, according to TechCrunch. The simultaneous emergence of multiple AI-native collaboration tools suggests this is becoming a distinct product category, not just a feature arms race among incumbents.

What This Means for Job Seekers

The arrival of Buzz signals something larger than one new app: the baseline expectation for how teams collaborate is being redesigned around AI agents as active participants, not passive assistants. For job seekers, that has practical implications in the near term.

Familiarity with AI-native collaboration environments is becoming a concrete differentiator. When reviewing job descriptions for technical and cross-functional roles, we increasingly see requirements for candidates who can work alongside AI systems in integrated workflows — not just prompt them in isolation. Buzz represents the next step in that trajectory: a workspace where agents contribute to code reviews, flag project updates, and participate in async discussions as peers. Candidates who can demonstrate fluency in these environments will have a story to tell in interviews that purely prompt-focused experience does not cover.

This also reframes what communication skills means on a resume. Working effectively in an agent-integrated workspace requires knowing when to involve an agent, how to structure requests so agents can act on them, and how to critically evaluate what agents produce. Those are learnable, demonstrable competencies.

If you are mapping which capabilities to build, our guide to AI-proof career skills covers the technical and soft-skill mix that holds up as AI becomes a workplace constant. Whether Buzz overtakes Slack is a secondary question for job seekers. The more relevant question is whether you are building fluency with the class of tools that treat AI as a collaborator — because that shift is underway regardless of which platform ultimately wins.

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About the author

Julian G. — Writer & Editor

Julian G. is a web developer who has run job4travelers.com and udreamjob.com since 2019. He writes about remote work, job searching, career strategy, and travel — topics he's followed for years as both a practitioner and a reader. Some posts draw on personal experience; others synthesize research from primary sources. Every post is reviewed and edited by him before publishing.

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