🧠 AI vs Middle Management: Jack Dorsey’s Bold Bet

NewBits Media
2 days ago
3 min read

NewBits Digest feature image for article on AI vs middle management, highlighting Jack Dorsey’s view that AI can reduce hierarchy and reshape coordination inside companies.

Block CEO Jack Dorsey just made one of the most aggressive calls of the AI era:

👉 AI may be able to replace the coordination layer that middle management has traditionally provided.

And he is not just talking about it. He is restructuring Block around that idea.

📊 The Breakdown

✂️ Massive Workforce Cut

Block announced plans to cut more than 4,000 employees, or nearly half its workforce, as part of a broader push to become a more AI-first company. Dorsey’s position is that this is not simply about contraction. It is about rebuilding the company around a different operating model.

🧠 The Thesis

Dorsey’s argument is that traditional managers have often served as the layer that routes information, translates data into decisions, and coordinates across teams. The bold idea behind AI vs middle management is that AI can increasingly take over much of that coordination work.

Using a real-time “world model” of the business, AI can help track performance, maintain alignment, surface context, and inform decisions much faster than a traditional hierarchy. That is the heart of the bet: not just that AI can assist managers, but that it can replace much of the connective tissue they once provided.

🏗 The New Org Structure

At Block, the company now fits people into three roles:

Individual contributors → build products and systems

Directly Responsible Individuals → own outcomes, not just tasks

Player-coaches → develop talent and elevate teams

The key point is what is missing: a permanent traditional middle-management layer. That is what makes this more than a workforce story. It is a structural experiment in how a company can run when AI becomes part of the operating system.

🌐 Why Block Can Do This

Block is remote-first, which gives it a major advantage in trying something like this. Decisions, discussions, workflows, and documentation already live in digital systems. That means AI has access to the raw material it needs to understand how the company works.

That is the deeper insight here. Remote work did not just change where people work. It created the data layer AI needs to model coordination itself.

⚡ What This Signals

This points to a much flatter model of execution. Decision-making can move faster, coordination can happen with less overhead, and more responsibility can sit closer to the people actually building and shipping. The traditional managerial layer starts to look less like a necessity and more like friction.

That does not mean every company can do this tomorrow. But it does suggest that the old assumption — that scale requires more layers of management — is starting to break.

🧠 Why AI vs Middle Management Matters

🔥 This could redefine how companies are built.

Layers of approval are increasingly becoming liabilities. Information flow is no longer automatically a human bottleneck. AI is turning organizations into something closer to real-time systems, where alignment and decision-making can happen with far less hierarchy.

The real insight is that this is not only a labor story. It is an organizational design story. AI is not just automating tasks. It is beginning to challenge the structure of the company itself.

🧬 The Bigger Shift

We’re entering a new operating model:

⚡ Smaller teams → bigger output

⚡ Fewer managers → more ownership

⚡ AI → the connective tissue of the company

That is why this matters beyond Block. If Dorsey is right, then some of the most important AI disruption ahead will not be about replacing frontline workers first. It will be about replacing the layers that sit between information and action.

🏁 Bottom Line

The question is no longer whether AI can assist managers.

It is whether companies will decide they need fewer of them at all.

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