Watercooler chat, organizational structure and corporate culture

GAICIL Insights

The org chart is a fiction that firms agree to believe.¹ Real work gets done somewhere else. Watercooler chat, organizational structure and corporate culture, by Jonathan Newton, Andrew Wait and Simon D. Angus, takes that seriously. It models firms as networks of employees and shows how occasional collaborative decision making in informal settings changes long-run employee behavior, which the authors identify with corporate culture.

The central result: the culture emerging in a team depends on team size and on how the team is connected to the wider firm. Small changes in structure can shift the behavior that becomes established. The authors explore the implications for organizational design and relate them to empirical research on communication, innovation, the size and decision making of corporate boards, and trends in the design of hierarchical structures.

The conclusion turns a managerial irritation into an asset. While the boundaries of a firm are defined by its physical assets, social interactions between workers characterize how things get done. Workers idly sharing gossip around the watercooler might seem like the bane of an employer's life, yet these informal interactions could engender collective actions that enhance productivity. The paper examines how a manager can adjust an organization's structure and physical work environment to harness them. Gossip, in this light, is infrastructure.

Now consider what artificial intelligence and digital tools have done to the watercooler. Remote and hybrid work, collaboration software and AI assistants change the frequency and nature of informal interactions. The watercooler has moved partly online, into chat channels and virtual meetings, and in some organizations it has largely disappeared. The model implies that such changes can alter corporate culture by changing who interacts with whom and how often small groups make collective decisions. A firm can change its culture without changing a single policy, simply by changing its software.

That is the hidden cost line on many productivity dashboards. If informal interactions engender collective actions that raise productivity, work arrangements that reduce them carry costs nobody books. Firms adopting AI tools that automate communication or replace some interactions should ask how those tools affect the informal networks through which culture forms. The flip side is promising: AI could help managers understand and support informal networks, for example by identifying teams isolated from the wider firm and facilitating connections. The same technology that empties the kitchen could map who should be talking to whom.

Team size and connection to the wider firm offer concrete levers. Managers can adjust team sizes, create links between teams and design physical or virtual spaces that encourage useful informal interactions. As AI changes the tasks teams perform, optimal team structures may change too, and the model offers a framework for thinking about those changes. Office layout and channel design become strategy.

The authors argue that adaptive and evolutionary models incorporating collective agency should apply wherever formal structures facilitate informal interactions. They point to academic conferences, where informal interactions often matter more than organized presentations, and to diplomacy, where informal discussions alongside formal meetings help parties find common ground. Both resonate with AI governance, increasingly negotiated in international forums where informal exchanges among researchers, firms and officials shape shared understandings. The communiqué is the formal output; the hallway is where it gets decided.

For policy, the informal dimensions of organizations deserve attention. Rules on remote work or on monitoring of communications can influence informal interactions and therefore corporate culture. AI-based workplace monitoring may discourage the casual exchanges the model identifies as valuable. Policies and firm practices that preserve space for informal collaboration may support productivity as well as worker well-being.

Taken together, culture is an emergent property of networks, arising from repeated informal interactions shaped by structure. As AI transforms work, it will transform those interactions. Firms that design structures and tools to support productive informal collaboration will cultivate cultures that enhance performance.

Here is the uncomfortable test for every executive rolling out an AI assistant: ask what conversations it will quietly eliminate. The humble watercooler conversation can be a source of collective action, and its digital successors deserve the same careful design.