Philosophy
Organizations have always reflected the assumptions they were designed around.
As those assumptions change, so must the way organizations create value.
Theory A begins with a different question.
Theory A is a philosophy of organizational design for the age of AI. Its premise is structural: AI changes what is scarce. For most of management history, human expertise and cognitive labor were the binding constraints on what an organization could do, and the dominant management frameworks were designed around that scarcity. AI removes it. Execution, retrieval, analysis, and routine decision-making become abundant. What becomes scarce instead is the organizational capacity to direct that intelligence: judgment, purpose, and the ability to design systems where human and artificial agency work together toward outcomes. Organizations designed for yesterday's scarcity create less value every year. Theory A is the design philosophy for what replaces them.
Theory X and Theory Y fundamentally changed how leaders thought about managing people. They emerged from different assumptions about work, motivation, and organizational life.
Theory A builds on that history, but it addresses a different challenge. Rather than asking how people should be managed, it asks how organizations themselves should be designed.
Three questions. Three eras. Three philosophies.
Theory X
Question
How do we motivate people to work?
Characteristics
Douglas McGregor introduced Theory X in 1960 to describe the dominant assumptions of industrial-era management. In that context, control was the central design problem: how to direct the effort of people who required close supervision, standardized processes, and external rewards to perform. The organization was designed to extract labor under conditions of scarcity and limited information.
Theory Y
Question
How do we enable people to contribute?
Characteristics
McGregor's Theory Y proposed that people are intrinsically motivated and capable of self-direction. It emerged as knowledge work grew in importance and organizations recognized that engagement and participation produced better outcomes than compliance. The design problem shifted from control to enablement, and the organization was redesigned around human potential rather than human compliance.
Theory A
Question
How should organizations be designed so agency creates value?
Characteristics
Theory A addresses a different question for a different era. AI is making previously scarce capabilities abundant: execution, retrieval, analysis, routine decision-making. What becomes scarce in their place is organizational agency: the capacity to direct abundant intelligence toward meaningful outcomes. The challenge is not how to control or enable people. It is how to design organizations so that human and artificial agency, working together, can continue to create value as the conditions of scarcity shift beneath them.
Douglas McGregor introduced Theory X in 1960 to describe the dominant assumptions of industrial-era management. In that context, control was the central design problem: how to direct the effort of people who required close supervision, standardized processes, and external rewards to perform. The organization was designed to extract labor under conditions of scarcity and limited information.
McGregor's Theory Y proposed that people are intrinsically motivated and capable of self-direction. It emerged as knowledge work grew in importance and organizations recognized that engagement and participation produced better outcomes than compliance. The design problem shifted from control to enablement, and the organization was redesigned around human potential rather than human compliance.
Theory A addresses a different question for a different era. AI is making previously scarce capabilities abundant: execution, retrieval, analysis, routine decision-making. What becomes scarce in their place is organizational agency: the capacity to direct abundant intelligence toward meaningful outcomes. The challenge is not how to control or enable people. It is how to design organizations so that human and artificial agency, working together, can continue to create value as the conditions of scarcity shift beneath them.
Theory X and Theory Y are theories of motivation.
Theory A is a philosophy of organizational design.
The Intellectual Heritage
It builds on two lessons that management theory has spent a century learning, and that AI has made impossible to ignore.
The first lesson came from Douglas McGregor himself, not from his famous letters, but from an experiment he ran before he wrote them.
In 1948, McGregor left MIT to become president of Antioch College in Ohio, one of the most genuinely participative institutions in American education. He arrived believing he could lead without being anyone’s boss, that a leader could operate as a kind of adviser to the community. Six years later, he set the lesson down without softening it.
A leader cannot avoid the exercise of authority any more than he can avoid the responsibility for what happens to his organization.Douglas McGregor, 1954
Theory A carries that lesson into the age of AI. Whatever the machine can do, it cannot answer. The answerability for what happens, the responsibility for the result, belongs to a person and always will. That is not a temporary limitation of today’s technology. It is a permanent fact about what it means to be accountable.
The second lesson came from Warren Bennis, McGregor’s student and colleague at MIT, who spent his career describing the organization that management would eventually need to build.
In the 1960s, Bennis predicted that the bureaucratic organization would give way to what he called adhocracy: teams forming around problems rather than fixed functions, authority flowing to whoever holds the relevant expertise rather than to whoever holds the higher rank, accountability organized around outcomes rather than activities. He was right about the form. He was wrong only about the date.
Adhocracy stayed a minority practice for sixty years because nothing made the old form untenable. Bureaucracy was clumsy in changing conditions, but it was survivable. What changes that now is the arrival of a second kind of agent in the work, one that acts at a speed and scale no chain of command can pace. Bennis’s prediction was not ahead of its time. It was waiting for the thing that would make it not a preference but a necessity.
Theory A is the management philosophy that takes both lessons seriously: that authority and answerability cannot be dissolved, and that the form of organizations must change to match the conditions that now exist.
The central idea
Organizations have never created value simply because they possessed intelligence.
They create value by organizing agency toward meaningful outcomes.
For most of management history, knowledge and skill were scarce, and organizations competed by acquiring them. AI changes that. Knowledge and skill are now broadly accessible. What remains scarce is the judgment, purpose, and imagination required to put them to use. That is why agency has become the defining constraint of this era, and why organizational design, not technology adoption, is the central leadership challenge.
But organizations continue to create value through the ability of people and increasingly intelligent systems to act together toward shared outcomes.
The question is not whether conditions will change. The question is whether organizational design evolves so agency can continue to flourish.
An organization that adopts AI without redesigning around it runs its old architecture faster. It does not gain structural advantage. The organizations that compound advantage are the ones that redesign from the new scarcity outward: they define work by outcomes rather than task lists, treat their own operations as continuous signal rather than periodic survey, govern AI autonomy through architectural design rather than approval chains, and treat the development of human judgment as the primary investment rather than the afterthought.
You cannot optimize your way into a new scarcity structure. You have to redesign.
From philosophy to practice
Theory A does not prescribe a single organizational model. Instead, it offers five enduring design principles that help leaders rethink organizations as conditions evolve.
These principles examine:
Each principle asks a different design question. Together, they form a connected system for designing organizations capable of organizing agency under changing conditions.
Explore the PrinciplesSignals
Short observations that show Theory A at work in real organizations and decisions.
Read the Signals →