Jack Dorsey's Buzz: Group chat with AI agents vs. Slack

Buzz: What has changed with Dorsey's announcement

On July 21, 2026, Jack Dorsey presented Buzz, a group chat platform designed for the workplace. The news, reported by TechCrunch, It describes a product that places human and AI agents on equal footing within conversations. It is not a sidebar assistant. In fact, AI agents are full participants in communication channels.

Dorsey is no stranger to challenging established platforms. However, there is a clear rationale behind this move. Slack and Microsoft Teams have integrated AI incrementally, as an additional layer on top of an existing architecture. Buzz, on the other hand, was built with AI as a foundational element from the start. As a result, the difference is not just one of functionality, but of paradigm.

For Italian marketing and digital managers, the relevant question isn't whether Buzz will replace Slack tomorrow. The question is: will this model redefine expectations for collaboration tools in the next 18-24 months?

The AI agents paradigm in operational conversations

Understanding Buzz first requires clarifying what it means to have an AI agent in a team chat. An agent doesn't just answer questions. Instead, it can perform tasks, retrieve data, send notifications, and update external systems autonomously. Therefore, in a channel dedicated to a Google Ads campaign, an agent could report budget variations, suggest optimizations, or generate reports without anyone explicitly invoking it.

This model is consistent with the direction that Gartner identifies as agentic AIsystems that act proactively within defined workflows. Therefore, Buzz is not just a smarter chat. It's an attempt to make the conversational layer the operational hub for digital work.

For teams of digital marketing, this has direct implications. Today, content approval, campaign management, and reporting workflows live on separate tools. Furthermore, they require constant manual switching between platforms. An environment where agents operate within the same team chat could significantly reduce this fragmentation.

Immediate impact on marketing and collaboration workflows

The most direct impact concerns the structure of operational workflows. In many Italian SMEs, the approval chain for content or a campaign goes through emails, Slack messages, comments on Google Drive, and tickets on project management tools. Consequently, the average approval time lengthens and traceability is lost.

Buzz proposes an alternative model. However, it is still too early to assess its practical effectiveness. Technical details on the agent architecture, available integrations, and pricing models are not yet fully public. Therefore, any operational assessment remains preliminary.

What is clear, however, is the market's direction. Even Harvard Business Review analyzed how AI agents are redesigning collaborative work processes. Therefore, Buzz is not an isolated phenomenon. It is the acceleration of an ongoing trend.

For marketing managers, the most impacted areas in the short term include:

• Content Approval Workflow: agents who verify brand compliance, suggest revisions, and track versions directly in the chat.
• Campaign monitoringproactive notifications on performance anomalies in Google Ads campaigns or in LinkedIn campaign, without having to open separate dashboards.
• Automated reportingWeekly summaries generated by the agent and shared in the team channel, ready for discussion.
• SEO and copywritingagents that support the process of SEO copywriting with contextual suggestions during editorial planning.

The construction site is still open: what's missing to adopt Buzz

Despite the interest Buzz generates, there are critical aspects that digital managers should consider before any adoption evaluation. First and foremost, the platform is in its launch phase. Therefore, product maturity, API stability, and the quality of integrations with existing tools are yet to be verified in practice.

Furthermore, the issue of AI agent governance is central. In regulated business environments, having agents operating autonomously in shared channels requires clear policies on permissions, action logs, and responsibilities. Therefore, companies will need to define these frameworks before proceeding.

Another element to consider is migration. Moving a team from Slack or Teams to a new platform has real costs: training, re-configuring integrations, loss of conversational history. Therefore, the decision cannot be driven solely by enthusiasm for novelty. It must be based on a concrete cost-benefit analysis.

Finally, the market for AI-native collaboration tools is rapidly becoming crowded. Besides Buzz, there are already initiatives from established players like Slack with its AI features Microsoft Copilot integrated into Teams. Contrary to what it might seem, Dorsey is not entering an empty market.

Strategic Reading for Italian SMEs

For Italian SMEs and mid-market companies, the launch of Buzz has more immediate signaling value than operational value. In fact, the platform is not yet available in a stable version for the Italian market, and details on localization and enterprise support are unconfirmed.

However, the strategic signal is clear: the market expects collaboration tools to become AI-native by 2027-2028. Consequently, companies with fragmented marketing workflows across disconnected tools will be at a competitive disadvantage as rivals adopt more integrated environments.

In SHM Studio We are already working on architectures of Applied AI that anticipate this scenario. Designing workflows where automated agents and human teams collaborate seamlessly is an integral part of projects to digital marketing that we follow. Therefore, Buzz's arrival is not a surprise, but a confirmation of the direction we recommend to our clients.

Concrete actions that a marketing manager can take today include:

• Map team workflows that could benefit from AI agents integrated into operational communication.
• Evaluate existing integrations on Slack or Teams with tools for SEO e web analytics.
• Define internal policies on AI agent governance before adoption becomes urgent.
• Monitor Buzz's evolution over the coming quarters, without rushing the migration.

Outlook: where does this scenario lead in 2027-2028

The most interesting horizon is not Buzz itself. It's what its launch anticipates for the 2027-2028 period. Therefore, it's worth projecting three plausible scenarios.

In the first scenario, Buzz gains traction among startups and tech-forward teams. As a result, Slack and Teams accelerate the native integration of AI agents to defend their market. The outcome is a convergence towards common interoperability standards between agents and collaboration platforms.

In the second scenario, Buzz doesn't take off as a standalone product. However, its model is acquired or replicated by a larger player. Similar to what happened with other Dorsey innovations, the impact could be indirect but significant.

In the third scenario, the market splits. On one hand, enterprise platforms with robust governance and certified integrations for regulated sectors. On the other hand, more agile tools for creative and marketing teams. In this case, the choice of tool becomes a strategic decision linked to the company profile.

In all three cases, organizational preparation matters more than the choice of the specific tool. Therefore, investing today in defining AI-ready processes is the most prudent move. To delve deeper into how to structure these paths, the team at SHM Studio Is it available for a dedicated consulting. Furthermore, on our blog We will continue to monitor the evolution of these tools with updated analyses.