Jack Dorsey outlines AI vision to eliminate middle management after Block cuts 4,000 jobs

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Block Inc. co-founder Jack Dorsey has published a bold vision for AI replacing middle managers, weeks after slashing nearly half his company's workforce. In a blog post co-authored with Sequoia Capital partner Roelof Botha, Dorsey argues that AI can handle coordination tasks traditionally performed by management layers, aiming to build what he calls a 'mini-AGI' company. The move has sparked debate over whether AI is genuinely reshaping work or being used to justify cost-cutting.

Jack Dorsey Proposes AI Replacing Middle Managers at Block Inc.

Jack Dorsey has unveiled an ambitious organizational vision where AI takes over the coordination functions traditionally handled by middle management, just weeks after Block Inc. announced it was cutting approximately 4,000 employees in February

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Source: ET

Source: ET

In a blog post titled 'From Hierarchy to Intelligence' co-authored with Sequoia Capital partner Roelof Botha, the Block co-founder and chairman argues that companies no longer need to rely on hierarchical structures with humans as the primary coordination mechanism

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The layoffs reduced Block's workforce from more than 10,000 workers to just under 6,000, a decision Dorsey framed as a strategic bet on an AI-driven future of work rather than simple cost-cutting

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. "I don't think we're early to this realization. I think most companies are late," Dorsey stated at the time, predicting that within the next year, the majority of companies will reach similar conclusions and make comparable structural changes

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Building a Company as Mini-AGI

Dorsey's vision centers on creating what he describes as an intelligence-designed organization or "mini-AGI" rather than simply giving employees AI copilots that marginally improve existing workflows

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. "For the first time, a system can maintain a continuously updated model of an entire business and use it to coordinate work in ways that previously required humans relaying information through layers of management," Dorsey and Botha wrote in their blog post

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The approach leverages Block's unique position sitting on both sides of millions of transactions through Cash App and Square, providing a real-time view of consumer and merchant behavior through what the company calls its "economic graph"

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. This data-rich environment in payments processing, merchant services, and peer-to-peer finance creates opportunities where AI can meaningfully reduce friction and manual effort

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Source: PYMNTS

Source: PYMNTS

Three Roles Replace Traditional Hierarchy

Under the proposed flatter organizational structure, employees would fall into three distinct categories instead of traditional reporting hierarchies. Individual contributors function as deep specialists who receive direction from the AI model rather than a manager, enabling faster and more independent decisions

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. Directly responsible individuals own specific cross-functional problems and have full authority to pull resources from the model

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. Player-coaches replace traditional managers by focusing on both building products and developing talent, rather than purely coordination tasks

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"Companies move fast or slow based on information flow. Hierarchy and middle management impede information flow," Dorsey writes, adding that humans are no longer the only option for those organizational layers

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. The remote-first nature of Block enables this transformation, as work is already machine-readable, allowing AI to build and maintain a continuous picture of operations that managers traditionally provided

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AI Washing Concerns and Broader Implications

The corporate job reductions at Block have sparked debate about whether AI is genuinely driving workforce transformation or being used to justify financial necessity. Critics have warned of "AI washing," where companies reframe cost-cutting decisions as technological progress

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. This skepticism emerges as tech companies more broadly have been trimming roles following years of rapid hiring during economic downturns.

Yet Dorsey's thesis aligns with a larger transition happening across technology and financial services companies. As AI increasingly drafts code, automates internal documentation, analyzes risk signals, and handles customer support, the amount of human labor needed for certain workflows shifts fundamentally

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. "Intelligence tool capabilities are compounding faster every single week," Dorsey said on an earnings call following the cuts, arguing that "a significantly smaller team using the tools we're building can do more and do it better"

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