Block, led by Jack Dorsey, has undergone a radical organizational transformation by shifting from hierarchical structures to AI-centered coordination. This included a 40% workforce reduction, aiming to streamline information flow and decision-making through AI integration. The company envisions employees in three key roles while AI manages organizational context, marking a new era in corporate structure and efficiency.
Block, a fintech company founded by Jack Dorsey, the well-known tech entrepreneur and founder of X (formerly Twitter), has been aggressively pushing the boundaries of AI-driven organizational transformation. Recently, the company made headlines by laying off 40% of its workforce, a move that surprisingly led to a 20% increase in its stock price. This bold step reflects Block's innovative approach to integrating AI into its organizational structure and operations.
Jack Dorsey, together with a Sequoia partner and a member of Block's board, co-authored an article titled "From Hierarchy to Intelligence," which systematically explains the logic behind their ongoing organizational transformation.
Since 2023, Block has implemented significant changes in its organizational design. Traditionally, the company was structured around multiple business lines, such as Square and Cash App, each operating somewhat independently with their own product development, design, and operations teams.
The new approach dismantled these business-line-centric structures and reorganized the company into a functional model. This means that employees are grouped by function rather than product line. For example, all technical staff report to the Chief Technology Officer (CTO), all product personnel report to the Chief Product Officer (CPO), and all operations staff report to a single operations leader.
This horizontal integration ensures alignment across the company’s technology and product development efforts, facilitating a more unified and efficient workflow.
A core aspect of Block's transformation is the application and deployment of AI within the organization. The 40% layoffs were part of a broader strategy to streamline operations and accelerate AI adoption.
The article "From Hierarchy to Intelligence" explains why such drastic changes were necessary and outlines a vision where every company could evolve into a "miniature AGI" (Artificial General Intelligence).
Jack Dorsey and his co-authors trace the origins of hierarchical organizational structures back to the Roman legions. The Roman military organized soldiers into small groups of eight sharing resources like tents and horses. These groups combined into larger units of about 80 soldiers, then into centurions managing roughly 100 soldiers, and so on, scaling up to thousands.
Each hierarchical level had a limited capacity to manage information and personnel, which shaped the structure's design. This model evolved through history, influencing the Prussian military system and later Frederick Taylor's management theories.
Even in complex projects like the Manhattan Project, there were attempts to foster cross-functional collaboration, but these were exceptions rather than the norm.
With the advent of the internet era, many companies experimented with flatter organizational models, reducing management layers to improve communication and decision-making speed. However, the fundamental challenge remained: individuals have limited bandwidth to manage and process information, typically overseeing between three to eight direct reports.
The arrival of AI promises to revolutionize this paradigm. Jack Dorsey envisions AI becoming the central coordinator of organizational information flow. Instead of relying on multiple layers of middle management to transmit and interpret information, AI would have access to all organizational context — including Slack conversations, emails, meeting notes, and other digital records.
This AI agent would serve as a transparent, centralized knowledge hub, enabling employees to query and interact with it directly to obtain the information they need. This eliminates the need for traditional hierarchical communication channels and middle managers who primarily facilitate information transfer.
With AI handling coordination and information management, the role of humans in the organization shifts. Jack Dorsey identifies three primary types of human roles in this new structure:
Individual Contributor (IC): These are employees who bring unique value through their creativity, taste, and expertise. Examples include product managers and developers who focus on specific tasks and projects.
Directly Responsible Individual (DRI): These individuals are accountable for delivering results and serving customers. They integrate resources across functions and ensure outcomes are achieved.
Player Coach: Former managers who no longer perform traditional management roles but provide mentorship and guidance. They combine empathy and experience to develop others while actively contributing to work themselves.
All these roles operate at the organizational edge, contributing their unique strengths while AI manages the overall coordination.
The significant workforce reduction at Block is not simply about replacing humans with machines. Instead, it reflects a strategic effort to eliminate inefficiencies related to information transmission and management overhead.
By removing layers of middle management and streamlining communication through AI, Block aims to save time and energy previously spent on information uploading and downloading.
This approach represents a new understanding and evolution of organizational design, where AI acts as the central nervous system, and humans focus on creativity, accountability, and mentorship.
Block's bold move to restructure its organization around AI coordination and reduce its workforce by 40% signals a transformative shift in how companies might operate in the future. By moving away from traditional hierarchical models and embracing AI as the core of organizational intelligence, Block is pioneering a new era of efficiency and innovation.
Jack Dorsey's vision suggests that while AI will handle the complex coordination and information flow, human roles will evolve to emphasize unique contributions, responsibility for outcomes, and leadership through coaching. This hybrid model could redefine the future of work and organizational management across industries.
As AI technology continues to advance, other companies may follow Block's lead, adopting similar models to stay competitive and agile in an increasingly complex business environment.
