RESEARCH / DOMAIN 2

Environments shape people

Core question: How do environments influence behavior, culture, learning, and performance?

Thesis

Human behavior, learning, culture, and performance emerge in response to environmental conditions. Across biology, neuroscience, psychology, sociology, and organizational science, evidence consistently demonstrates that people adapt to the environments in which they operate. As artificial intelligence reshapes the environments of work, leaders must recognize that they are not simply implementing new technologies; they are redesigning the conditions that influence human behavior and organizational outcomes.

Relationship to the manifesto

Domain 1 established that technology changes environments. Domain 2 builds on that foundation by demonstrating that environments shape people. Together, these domains create one of the central causal chains within the Devonport framework:

Technology changes environments. Environments shape people. People shape organizations. Organizations shape society.

This relationship helps explain why technological transformation is never purely technical. Every meaningful change in technology alters the conditions under which people learn, collaborate, make decisions, and create value. As a result, technological change inevitably becomes human change.

Why this matters

For generations, organizations have attempted to improve performance primarily by focusing on individuals. They hire talented people, provide training, develop leaders, and create incentive programs designed to encourage desired behaviors. While these efforts can be valuable, research across multiple disciplines suggests that individual behavior is often less a product of personal intent than a response to environmental conditions.

This idea appears so consistently across scientific fields that it is difficult to ignore. Biologists observe organisms adapting to changing conditions. Neuroscientists study how experience reshapes neural pathways. Psychologists demonstrate how incentives, defaults, and environmental cues influence behavior. Sociologists examine how norms emerge through repeated social interaction, while organizational researchers show how systems, structures, and cultures influence performance. Although each discipline uses its own language and methodology, they converge on a remarkably similar conclusion: people adapt to the environments in which they operate.

The implication is both simple and profound. If we want different outcomes, we must often change the environment before we attempt to change the people. This insight becomes particularly important in an era where artificial intelligence is rapidly transforming the informational, technological, and social environments of work.

Evidence across disciplines

Biology: adaptation to environmental conditions

The relationship between organisms and their environments forms one of the foundational principles of biology. Charles Darwin's theory of evolution by natural selection demonstrated that environmental pressures influence which traits become advantageous over time.[1] Organisms do not adapt because they consciously choose to do so; they adapt because changing conditions create pressures that reward certain characteristics while discouraging others. Over generations, these pressures shape the development of species and ecosystems.

Modern biology has expanded this understanding through research in developmental plasticity and epigenetics. Eva Jablonka and Marion Lamb argue that environmental influences can shape biological outcomes through mechanisms that extend beyond traditional genetic inheritance.[2] Environmental conditions can influence how genetic information is expressed without altering the underlying DNA itself. The implication is significant because it demonstrates that potential may remain constant while expression changes. The environment does not necessarily alter the blueprint, but it can profoundly influence how that blueprint is realized.

This distinction has relevance far beyond biology. Across human systems, the same pattern repeatedly emerges: individuals and organizations often possess latent capabilities that are either strengthened or suppressed by the conditions surrounding them. The biological evidence therefore supports a broader principle that extends throughout this paper: environmental conditions influence adaptation.

Neuroscience: the adaptive brain

The human brain provides one of the clearest demonstrations of environmental influence. Neuroscientist Donald Hebb famously summarized this principle with the phrase, "Neurons that fire together wire together."[3] Although deceptively simple, this observation helped establish a foundation for modern research on neuroplasticity and learning.

For much of the twentieth century, scientists believed that the brain became largely fixed after early development. Research by Michael Merzenich and others challenged that assumption by demonstrating that the brain remains adaptable throughout life.[4] Experiences, relationships, practice, stress, and environmental stimulation continuously reshape neural pathways, influencing how individuals think, learn, remember, and perform. Norman Doidge later synthesized much of this work, documenting numerous examples of the brain reorganizing itself in response to changing conditions and experiences.[5]

Taken together, these findings suggest that people are not merely influenced by their environments in a metaphorical sense. They are physically shaped by them. Learning environments influence cognitive development. Workplace environments influence performance. Social environments influence emotional regulation and behavior. The neurological evidence reinforces a central theme of this paper: adaptation is not an exception to human development—it is one of its defining characteristics.

Psychology: behavior follows conditions

Behavioral science provides some of the clearest evidence that human behavior is deeply influenced by environmental conditions. While people often view their decisions as independent expressions of personal preference or willpower, decades of research suggest that context plays a far greater role than most individuals realize.

B.F. Skinner's work on operant conditioning demonstrated that behavior responds predictably to rewards and consequences.[6] Although later research expanded beyond Skinner's behaviorist framework, the central insight remains influential: behavior is shaped by the conditions under which it occurs. Individuals adapt to incentives, feedback loops, and patterns of reinforcement, often without conscious awareness.

Modern behavioral economics reinforced this perspective. Daniel Kahneman's research revealed that decision-making is influenced by framing effects, cognitive biases, and contextual cues that operate beneath conscious reasoning.[7] Richard Thaler and Cass Sunstein further demonstrated that seemingly minor changes in the design of decision environments can significantly alter outcomes.[8] Their work on choice architecture and nudges showed that people frequently respond to defaults, convenience, friction, and social signals in ways that are both predictable and measurable.

Viewed collectively, these findings suggest that behavior rarely emerges in isolation. Employees respond to incentive structures. Consumers respond to pricing models. Students respond to learning environments. Citizens respond to social expectations. In each case, behavior reflects an ongoing interaction between the individual and the conditions surrounding them. The psychological evidence therefore reinforces a broader principle that appears throughout this paper: people do not simply act within environments—they adapt to them.

Sociology and culture: shared adaptation

Human beings are social organisms, and many of the behaviors we consider individual are actually learned, reinforced, and transmitted through social systems. This reality helps explain why cultures emerge, persist, and evolve over time.

Albert Bandura's Social Learning Theory demonstrated that individuals acquire many behaviors through observation and imitation rather than direct experience alone.[9] People watch what others do, observe which behaviors are rewarded or discouraged, and gradually adopt patterns that appear successful within their environment. Over time, these repeated interactions contribute to the formation of shared norms and expectations.

Joseph Henrich's work on cultural evolution expanded this understanding by showing how successful behaviors spread through populations and become embedded within social systems.[10] Culture, in this view, functions as an adaptive mechanism that enables groups to accumulate and transmit knowledge across generations. Rather than emerging from a single leader or set of formal values, culture develops through countless interactions among individuals responding to common environmental conditions.

This perspective aligns closely with Edgar Schein's definition of organizational culture as a pattern of shared assumptions developed through collective experience.[11] Culture is not merely a statement of values or a collection of beliefs. It is an adaptive response to the conditions people experience every day. Organizations with different structures, incentives, technologies, and leadership systems often develop dramatically different cultures despite employing similarly talented individuals. The environment helps determine which behaviors become normal, which assumptions become accepted, and ultimately what kind of culture emerges.

Organizational science: systems shape outcomes

Nowhere is the influence of environment more visible than within organizations. Every company operates within a system composed of structures, incentives, communication patterns, technologies, workflows, and social norms. Together, these elements create an operating environment that shapes how people think, behave, and perform.

Peter Drucker consistently emphasized that organizations produce outcomes consistent with the systems they create.[12] W. Edwards Deming extended this idea by arguing that most performance problems originate within systems rather than individuals.[13] His often-cited observation that "A bad system will beat a good person every time"[13] captures a reality familiar to many leaders: talented individuals frequently struggle when operating within poorly designed environments.

Amy Edmondson's research on psychological safety provides a powerful example.[14] Teams that feel safe to ask questions, admit mistakes, and challenge assumptions consistently outperform teams operating in environments characterized by fear or excessive hierarchy. The difference is not necessarily the intelligence or capability of the people involved. It is the environment in which they operate.

This pattern appears repeatedly across organizations. When short-term outcomes are rewarded above all else, employees naturally prioritize immediate results over long-term value creation. When collaboration is recognized and reinforced, collaborative behaviors become more common. When experimentation is encouraged and intelligent risk-taking is supported, innovation often increases. Across a wide range of organizational contexts, a consistent lesson emerges: behavior is often less a reflection of individual intent than a rational response to system conditions.

Systems thinking: designing conditions

While biology, neuroscience, psychology, sociology, and organizational science all demonstrate the influence of environment, systems thinking provides perhaps the clearest explanation for why these patterns occur. Rather than focusing solely on individuals, systems thinkers examine the structures, relationships, and feedback loops that generate recurring outcomes.

Kurt Lewin captured this idea in one of the most influential formulations in the social sciences:

"Behavior is a function of the person and the environment."[15]

Although deceptively simple, Lewin's formula provides a useful lens for interpreting much of the evidence reviewed in this paper. Human behavior cannot be fully understood by examining individuals in isolation because behavior emerges through interaction with the environments people inhabit.

Donella Meadows later demonstrated that relatively small changes to system structures can produce disproportionately large effects.[16] Peter Senge expanded this thinking into organizational learning, showing how underlying systems generate recurring patterns of behavior that persist even when individual participants change.[17] BJ Fogg's work on behavior design similarly demonstrated that environmental conditions often influence behavior more reliably than motivation alone.[18]

Taken together, these perspectives suggest that environments are not passive backdrops to human activity. They are active participants in shaping outcomes. Because environments can be intentionally designed, they also represent one of the most powerful levers available to leaders seeking to influence behavior, learning, culture, and performance.

Devonport synthesis

Taken independently, the evidence from biology, neuroscience, psychology, sociology, organizational science, and systems thinking is compelling. Taken together, however, something more significant emerges. Despite studying different phenomena at different scales, each discipline arrives at a remarkably similar conclusion: environmental conditions influence outcomes.

Organisms adapt to environments. Brains adapt to experiences. Behavior adapts to incentives. Culture adapts to conditions. Organizations adapt to systems.

Although the language differs across disciplines, the underlying pattern remains consistent. Environmental change creates adaptive pressure, and adaptation produces new behaviors, capabilities, and outcomes. This pattern is so pervasive that it appears to be one of the fundamental mechanisms through which complex systems evolve.

Nearly a century ago, Kurt Lewin proposed that behavior is a function of both the person and the environment.[15] While simple in form, this insight may be one of the most important ideas underlying modern organizational transformation. The evidence reviewed throughout this paper suggests that people cannot be fully understood apart from the conditions in which they operate.

Viewed through this lens, the relationship between Domain 1 and Domain 2 becomes clearer. Technology changes environments. Those environmental changes create new conditions that people, teams, and organizations must adapt to. What appears on the surface to be technological transformation is often a deeper process of behavioral, cultural, and organizational adaptation.

This insight is particularly relevant in the age of artificial intelligence. Much of the public conversation around AI focuses on capabilities, tools, and automation. While these topics are important, they often overlook a more fundamental reality. AI is changing the conditions under which people think, learn, collaborate, and make decisions. As those conditions change, new patterns of behavior and new forms of organization inevitably emerge.

The implication is straightforward but profound: leaders who understand environments gain influence over outcomes. Leaders who understand adaptation gain influence over change.

Environmental architecture

Devonport definition: Environmental Architecture is the intentional design of the physical, social, informational, technological, and organizational conditions that influence how people think, learn, behave, collaborate, adapt, and perform.

This concept begins with a simple observation. Most leaders spend considerable energy attempting to change people directly. They create new policies, communicate expectations, launch training programs, and encourage desired behaviors. While these approaches can be effective, they often address symptoms rather than underlying causes.

Environmental Architecture starts from a different premise. Rather than asking how to change people, it asks how to change the conditions in which people operate.

The distinction may seem subtle, but it has significant implications. A poorly designed environment can undermine even the most talented individuals, while a well-designed environment can amplify the capabilities of ordinary teams. Incentives influence priorities. Information flows influence decisions. Communication structures influence collaboration. Technology platforms influence behavior. Every component of an environment contributes to the outcomes it produces.

This perspective also reframes the role of leadership. Historically, leaders allocated labor, capital, and resources. In increasingly complex and intelligent systems, leaders are becoming architects of environments. They design information flows, knowledge systems, communication structures, technologies, and operating models that influence how individuals and organizations adapt over time.

The industrial era was largely concerned with managing work. The intelligence era will increasingly be defined by designing environments.

Corporate epigenetics

Devonport definition: Corporate Epigenetics describes how organizational environments influence the expression of culture, behavior, learning, and performance.

The concept draws inspiration from biological epigenetics, which demonstrates that environmental conditions can influence how genetic information is expressed without altering the underlying DNA itself.[2] While organizations do not possess genes in a biological sense, they do possess capabilities, values, structures, and potential that can be expressed in different ways depending on environmental conditions.

This analogy helps explain a phenomenon familiar to many leaders. Organizations often attempt to change culture through communication campaigns, value statements, or leadership messaging. Yet culture frequently remains stubbornly resistant to direct intervention because culture is not created directly—it emerges.

Just as biological traits are influenced by environmental conditions, organizational culture is influenced by the systems, incentives, technologies, relationships, workflows, and expectations that people experience every day. Change those conditions and behavior begins to change. As behaviors become normalized, culture gradually evolves alongside them.

Corporate Epigenetics therefore shifts the focus from culture as an outcome to environment as a cause. Rather than asking how to build a better culture, leaders can ask what conditions are producing the culture that currently exists.

This distinction becomes increasingly important as organizations integrate artificial intelligence into their operations. AI does not simply change workflows. It changes information access, decision-making processes, communication patterns, knowledge distribution, and learning dynamics. In doing so, it alters the environmental conditions that influence cultural expression.

The question is not whether culture will change. The question is whether leaders will intentionally guide that change.

Implications for artificial intelligence

Artificial intelligence represents more than a technological advancement. It represents a new environmental force.

Throughout history, major technologies have changed the conditions under which humans operate. The printing press transformed access to knowledge. The industrial revolution transformed production and labor. The internet transformed communication and information exchange. Each technological shift altered the environment, and each environmental shift produced new forms of adaptation.

Artificial intelligence appears poised to follow a similar pattern. AI changes how information is discovered, synthesized, and distributed. It changes how decisions are made, how knowledge is created, how work is coordinated, and how expertise is accessed. These changes introduce new environmental conditions that influence how individuals and organizations behave.

As AI becomes embedded within daily workflows, new norms will emerge. New expectations will develop. New forms of collaboration between humans and intelligent systems will become commonplace. Organizational structures may evolve. Learning models may change. Entire operating systems for work may be reimagined.

Seen through the lens of Environmental Architecture, the challenge facing leaders is not simply how to deploy AI. The challenge is how to intentionally design the environments that AI will help create.

Organizations that treat AI solely as a productivity tool may realize incremental gains. Organizations that recognize AI as an environmental force may unlock something more significant: the ability to shape how people learn, adapt, collaborate, and create value within entirely new conditions.

Conclusion

Nearly a century ago, Kurt Lewin proposed that behavior is a function of both the person and the environment.[15] The research reviewed throughout this paper suggests that his insight remains remarkably relevant today. Across biology, neuroscience, psychology, sociology, organizational science, and systems thinking, evidence consistently demonstrates that environmental conditions shape outcomes and that people adapt to the environments in which they operate.

This insight provides the connective tissue between technological change and human change. Technology changes environments. Environments shape people. People shape organizations. Organizations shape society. Together, these relationships describe a recurring pattern that has influenced human progress throughout history.

As artificial intelligence transforms the environments of work, leaders face a choice. They can allow those environments to evolve by default, responding to change as it occurs, or they can intentionally design conditions that support learning, adaptation, innovation, and human flourishing.

The organizations that thrive in the age of AI will not simply deploy intelligent technologies. They will become architects of the environments in which humans and intelligence evolve together.

Because environments shape people, every technological change is ultimately a human change.

Endnotes

[1] Darwin, Charles. On the Origin of Species (1859).

[2] Jablonka, Eva, and Marion Lamb. Evolution in Four Dimensions (2005).

[3] Hebb, Donald O. The Organization of Behavior (1949).

[4] Merzenich, Michael. Soft-Wired (2013).

[5] Doidge, Norman. The Brain That Changes Itself (2007).

[6] Skinner, B.F. Science and Human Behavior (1953).

[7] Kahneman, Daniel. Thinking, Fast and Slow (2011).

[8] Thaler, Richard H., and Cass R. Sunstein. Nudge (2008).

[9] Bandura, Albert. Social Learning Theory (1977).

[10] Henrich, Joseph. The Secret of Our Success (2015).

[11] Schein, Edgar H. Organizational Culture and Leadership (2010).

[12] Drucker, Peter F. The Effective Executive (1967).

[13] Deming, W. Edwards. Out of the Crisis (1986).

[14] Edmondson, Amy. "Psychological Safety and Learning Behavior in Work Teams" (1999).

[15] Lewin, Kurt. Principles of Topological Psychology (1936).

[16] Meadows, Donella. Leverage Points: Places to Intervene in a System (1999).

[17] Senge, Peter. The Fifth Discipline (1990).

[18] Fogg, B.J. Tiny Habits (2019).