Jack Dorsey, co-founder of Twitter and CEO of Block (formerly Square), has made a stark prediction about artificial intelligence's impact on corporate structure: AI will replace middle management by serving as a "software substitute" for the traditional corporate pyramid.
In comments highlighted by Forbes, Dorsey argues that middle management layers exist primarily to solve an information problem in large organizations. Updates move upward, decisions move downward, and managers spend significant time "translating, summarizing, routing, and aligning" information flows.
The Core Argument: Information Flow vs. Direct Observation
Dorsey's central thesis is that when a company's work already exists in digital systems—code commits, chat logs, support tickets, calendars, payments, and project management tools—AI can potentially "watch the whole organism at once."
This changes the fundamental coordination mechanism. Instead of waiting for human managers to gather status updates, identify friction points, and escalate issues, software can build a live model of organizational activity and act sooner. The AI becomes the coordination layer.
"The point is not that managers suddenly became useless," Dorsey clarifies. "It is that companies were built to solve an old information problem."
Why Block is a Plausible Test Case
Dorsey's argument carries particular weight given his leadership of Block, a remote-first financial technology company with constant streams of internal and customer data. He notes that "a remote-first business with constant streams of internal and customer data is exactly the kind of environment where pattern recognition and coordination software could look unusually competent."
Block's digital-native operations—spanning Square payment systems, Cash App, and Tidal—generate precisely the structured and unstructured data streams that AI systems could analyze to understand workflow patterns, bottlenecks, and coordination needs without human intermediaries.
The Manager's Evolving Role
Dorsey's perspective suggests middle managers won't disappear entirely but will transform. Their traditional information-routing functions could be automated, freeing them for higher-value activities like strategic planning, mentorship, and complex decision-making that requires human judgment and context beyond what digital systems capture.
However, the implication is clear: organizations that can implement effective AI coordination systems will need fewer traditional middle managers, potentially flattening corporate structures significantly.
Implementation Challenges
While theoretically compelling, several practical challenges remain:
- Data Integration: Most companies have fragmented systems that don't provide a unified view of organizational activity
- Context Understanding: AI must understand nuanced human relationships, unspoken norms, and cultural contexts that influence coordination
- Decision Authority: Determining which decisions can be automated versus those requiring human judgment
- Change Management: Organizations must redesign processes and retrain employees for AI-mediated coordination
Broader Industry Context
Dorsey's comments align with growing interest in "AI agents" and autonomous workflow systems. Companies like Microsoft, Google, and numerous startups are developing AI systems that can coordinate tasks across multiple tools and team members. What Dorsey adds is the specific organizational thesis: these systems don't just augment managers—they can replace the structural need for certain management layers entirely.
gentic.news Analysis
Dorsey's prediction represents a significant escalation in how tech leaders envision AI transforming organizational structures. While most discussion has focused on AI augmenting individual contributors or automating routine tasks, Dorsey is targeting the management layer itself—the coordination infrastructure of large organizations.
This aligns with trends we've been tracking in enterprise AI adoption. In our December 2025 coverage of Microsoft's "Copilot for Organizations," we noted the system's ability to analyze cross-team workflows and suggest optimizations. What Dorsey describes is essentially taking that capability to its logical conclusion: if AI can understand and optimize workflows better than human managers, why maintain the human layer?
The timing is particularly notable given Block's own AI initiatives. Following their 2024 acquisition of Hifi, an AI-powered music recommendation startup, Block has been quietly building AI capabilities across their ecosystem. Dorsey's comments suggest these efforts may extend beyond customer-facing features to internal organizational redesign.
However, significant technical and cultural barriers remain. Most current AI coordination systems operate within narrow domains (like software development with GitHub Copilot) rather than across entire organizations. The leap from task-specific AI assistance to holistic organizational coordination represents a substantial technical challenge that may take years to solve comprehensively.
What makes Dorsey's perspective particularly credible is his experience building and scaling multiple large organizations. Unlike theoretical predictions from academics or consultants, Dorsey speaks from direct experience with the coordination challenges of growing Twitter to thousands of employees and managing Block's complex ecosystem. His prediction carries the weight of someone who has personally confronted the organizational scaling problems he believes AI can solve.
Frequently Asked Questions
What exactly does Jack Dorsey mean by "software substitute" for management?
Dorsey means that AI systems can perform the core information-processing functions of middle management—gathering status updates from teams, identifying bottlenecks, routing information to the right people, and ensuring alignment—by directly analyzing digital work streams rather than relying on human intermediaries. The software becomes the coordination layer.
Which companies are most likely to see AI replace middle management first?
Digital-native, remote-first companies with comprehensive digital footprints are most susceptible. Organizations like Block, fully remote tech companies, and those with well-integrated software development and project management systems will likely see effects first. Traditional manufacturing or service companies with less digitized workflows will be slower to experience this transformation.
How soon could AI realistically replace middle management functions?
Partial automation of specific coordination tasks is already happening through tools like project management AI assistants. However, comprehensive replacement of middle management layers likely requires 3-7 years of additional development in multimodal AI understanding, cross-system integration, and organizational change management. The technical capability may arrive sooner than organizational willingness to implement it.
What should middle managers do to prepare for this shift?
Managers should focus on developing skills that AI cannot easily replicate: complex strategic thinking, mentorship and talent development, stakeholder relationship management, ethical decision-making in ambiguous situations, and change leadership. The most valuable future managers will be those who complement AI coordination systems rather than compete with them.
