In a striking vision of the future of work, Jack Dorsey—co-founder of Twitter and CEO of Block, Inc.—has put forward a provocative idea: AI can replace middle management.
This isn’t just theory. It’s already being tested in practice.
The Shift at Block
Earlier this year, Block reduced its workforce by over 4,000 employees—more than 40% of its staff. According to Dorsey, this wasn’t a reaction to financial distress, but a deliberate move toward an AI-first organization.
The company is restructuring around a leaner, more focused model where traditional management layers are no longer central.
Instead, Block now defines its workforce across three roles:
- Builders – individuals who create products and systems
- Problem Owners – those accountable for outcomes and results
- Player-Coaches – experienced contributors who guide and mentor others
This model removes the need for conventional middle managers whose primary role has historically been coordination.
Why Dorsey Thinks AI Can Replace Managers
Dorsey’s argument is rooted in how modern organizations already operate—especially remote-first ones.
At Block, nearly everything is documented digitally:
- Decisions
- Product designs
- Internal discussions
- Strategic plans
This creates a rich dataset—a living “world model” of the business.
According to Dorsey, AI systems can now:
- Track and interpret this information in real time
- Route insights and updates across teams
- Identify bottlenecks and inefficiencies
- Provide decision support at scale
In short, AI can perform one of the core functions of middle management: information flow and coordination—but faster and without organizational friction.
The Bigger Picture: A New Organizational Model
Dorsey’s thesis reflects a broader trend:
Lean, AI-first teams vs. traditional, layered enterprises
In traditional organizations:
- Information moves slowly through hierarchies
- Decision-making is fragmented
- Accountability is often diffused
In AI-enabled organizations:
- Data is centralized and continuously analyzed
- Decisions can be made closer to the work
- Teams operate with greater autonomy
This could lead to:
- Faster execution
- Lower operational overhead
- More direct ownership of outcomes
The Risks and Open Questions
Despite the promise, this shift raises important concerns:
1. Trust in AI Decision-Making
Organizations may hesitate to rely fully on AI for coordination and judgment—especially in high-stakes environments.
2. Loss of Human Context
Middle managers often provide:
- Emotional intelligence
- Conflict resolution
- Cultural alignment
These are areas where AI still has limitations.
3. Organizational Stability
Flattening structures too aggressively can lead to:
- Role ambiguity
- Burnout among high performers
- Gaps in leadership development
What This Means for Professionals
If Dorsey’s model gains traction, the implications are significant:
- Execution > Coordination: Value shifts toward building and delivering
- Ownership becomes critical: Individuals are accountable for outcomes, not just tasks
- AI fluency is no longer optional: Understanding how to work alongside AI becomes a core skill
For engineers, architects, and platform-focused professionals, this may actually be an advantage—especially those already working close to systems, automation, and outcomes.
Final Thought
Dorsey’s vision challenges a long-standing assumption: that organizations need layers of management to function effectively.
Instead, he proposes a future where:
AI becomes the connective tissue of the company, and humans focus on creation, ownership, and growth.
Whether this model scales across industries remains to be seen. But one thing is clear—the role of middle management is being fundamentally re-evaluated in the age of AI.
https://block.xyz/inside/from-hierarchy-to-intelligence
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