Why the Most Expensive Part of the Modern Economy Is Coordination

Hatched by Warish

Jun 09, 2026

9 min read

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The hidden cost no one budgets for

What if the biggest drag on productivity is not bad work, but the simple act of getting work from one person to another?

That sounds almost too ordinary to matter. Yet for knowledge workers, communication now consumes 88% of the workweek. Not 8%, not a minor slice hidden between meetings, but nearly the entire operating budget of attention. Add in the rising number of channels, the anxiety of choosing the right one, and the time spent drafting or decoding messages, and a strange truth emerges: modern work is increasingly a coordination economy.

In a coordination economy, value is not created only by producing things. It is created by moving information, decisions, trust, and intent through a network without friction. The more complex the network becomes, the more precious the infrastructure for communication becomes. That is where the parallel with global payment networks becomes illuminating. Mastercard’s real power is not in issuing cards or selling a product you can hold. Its power is in making transactions move smoothly between many parties who do not need to know each other directly.

Work today is becoming like that. The best organizations are no longer just factories for output. They are networks that clear signals.

Communication has become the new transaction layer

A payment network succeeds when it makes a complicated exchange feel effortless. A card swipe looks trivial, but behind it sits a vast system of banks, merchants, security checks, fraud prevention, routing, and settlement. Mastercard does not own the customer relationship end to end. It owns the rail that lets everyone else transact.

Modern knowledge work is drifting toward the same logic. A manager sends a message, a teammate replies in chat, a third person clarifies over email, then a meeting is scheduled to resolve what the message should have settled in the first place. Every step is a tiny transaction cost. None of them look dramatic, but together they consume hours. The problem is not that people are lazy. The problem is that the organizational “payment rails” are fragmented.

This is why the communication explosion feels so exhausting. We are not merely talking more. We are paying more tolls to move meaning around. Email, chat, meetings, texts, comments, DMs, project tools, and video calls each act like separate lanes with different rules. A single decision may travel through five channels before it lands. The result is not just inefficiency. It is cognitive congestion.

The modern workplace does not suffer only from too much communication. It suffers from too many incompatible ways to communicate the same thing.

That distinction matters. If the challenge were simply volume, the solution would be fewer messages. But the deeper issue is routing. People are spending time not only communicating, but deciding where communication should happen, whether it was understood, and what happens next if it was not. That is the hidden equivalent of interchange fees, fraud checks, and settlement delays in finance.

When communication is misrouted, organizations pay in three currencies: time, attention, and trust.

Why friction creates anxiety, not just inefficiency

If payment rails are clumsy, transactions fail. If communication rails are clumsy, relationships fray.

That helps explain why more than half of professionals say the constant flow of notifications makes it hard to concentrate, and why many feel uncertain about choosing the right channel. These are not side effects. They are symptoms of an overloaded system where the cost of error is social as much as operational. A poorly timed email can sound cold. A short chat message can seem abrupt. A meeting request can feel like escalation. In a world where tone is hard to read and context is scattered, every message is a small gamble.

This is also why written communication has become such a large burden. Nearly half of work time is now spent on writing or responding, especially in email. Writing is no longer a modest administrative task. It is the medium through which organizations negotiate reality. But written communication is expensive because it forces the sender to do work that used to be shared in person: anticipate confusion, infer tone, preempt objections, and preserve alignment across time zones and schedules.

Think of a payment system where every purchase requires a phone call to confirm the merchant, a second call to confirm the bank, and a third call to explain the item. Technically possible, but no one would call it efficient. Yet that is how much of knowledge work operates today. We have digitized communication without fully redesigning its architecture.

This is where the Mastercard analogy becomes especially useful. Mastercard thrives not because it eliminates all friction, but because it standardizes trust. The network establishes rules so that most transactions do not require negotiation. In organizations, the equivalent would be clear norms about what belongs in email, what belongs in chat, what requires a meeting, and what can be resolved asynchronously. Without that kind of standardization, every team member becomes a manual router.

The anxious worker is often acting as an unpaid systems integrator.

AI is not just a productivity tool, it is a compression layer

The most interesting part of the communication story is not that AI saves time. It is what kind of time it saves.

If gen AI can save a worker about a day per week, the obvious interpretation is speed. Draft faster, summarize faster, respond faster. But the deeper value is compression. AI can reduce the number of separate human moves required to transmit intent. It can turn a rough thought into a first draft, a meeting transcript into a summary, a tangled email thread into action items, and a vague request into a clearer message.

In other words, AI acts less like a replacement writer and more like a translator between mental states and organizational states. That is powerful because a large share of workplace friction comes from imperfect translation. People know what they want, but not how to express it cleanly. Others receive the words, but not the context. AI can narrow that gap.

Consider a simple example. A manager wants to tell a team, “I need this by Friday, but quality matters more than speed.” Without help, the message may come out too terse or too vague. With AI, the manager can generate versions for different channels: a concise chat note, a more complete email, and a project update with priorities and tradeoffs spelled out. The same intent can be routed through the right channel in the right form.

That is not just convenience. It is network design.

AI may become the workplace equivalent of a payment processor, reducing the cost of moving intent from one person to another.

This analogy matters because payment processors did not become valuable by making money itself more important. They became valuable by making exchange more reliable. Likewise, AI will not matter only because it writes faster. It will matter because it can make communication more structured, less ambiguous, and easier to settle.

The organizations that benefit most will not be the ones that use AI merely to produce more messages. They will be the ones that use AI to reduce message entropy. That means fewer back-and-forth clarifications, fewer ambiguous requests, fewer meeting invitations used as repair mechanisms, and fewer decisions getting stuck in inbox purgatory.

The real competitive advantage is not volume, it is network design

Mastercard’s moat comes from decades of infrastructure, trust, and global interoperability. Its value increases as more merchants, banks, and consumers participate. The system becomes more useful because it is widely accepted.

Workplace communication has a similar network effect, but it is often ignored. Teams accumulate tools the way cities accumulate roads without planning the traffic flow. Eventually every road is clogged. The answer is not necessarily more roads, and it is not always fewer cars. It is better infrastructure, better rules, and better routing.

That is the strategic insight many organizations miss: productivity problems are often not people problems. They are protocol problems.

A protocol is a shared rule for how information moves. For payments, it might be the standards that let a card work across merchants and countries. For work, it might be a rule like this: urgent issues go in chat, decisions go in email, complex tradeoffs get a meeting, and all final outcomes are documented in one system of record. These sound mundane, but protocols create leverage. They lower the need for constant interpretation, which is exactly where time and trust disappear.

Without protocols, people improvise. And improvisation feels flexible until scale arrives. Then flexibility becomes noise.

This is why many organizations paradoxically become less agile as they add more communication channels. Each new channel promises speed, but without governance it increases ambiguity. Email does not replace meetings. Chat does not replace email. AI does not replace judgment. Every new tool adds power and complexity. The winners will be the ones who treat communication as architecture, not atmosphere.

A good test is simple: can a new employee understand, in one week, which channel is for what, who decides what, and how a decision becomes real? If not, the organization is not just inefficient. It is charging an invisible tax on every message.

Key Takeaways

Treat communication as infrastructure, not activity. Measure how much time is spent routing, clarifying, and reconciling messages, not just sending them.
Design clear channel protocols. Decide what belongs in email, chat, meetings, and shared docs. Make the rules explicit so people stop guessing.
Use AI to reduce message entropy. Apply it to drafts, summaries, rewrites, and action-item extraction, not just volume generation.
Standardize decisions, not just conversations. A meeting is not complete until the decision and next step are captured in a durable place.
Audit the hidden tolls of your workflow. If people are constantly asking “Did you see my message?” the system is leaking value through friction.

The future belongs to the best routers of human attention

The deepest lesson here is that both money and meaning depend on networks. Mastercard became indispensable by making exchange reliable across a vast system of strangers. Modern organizations will become similarly valuable by making coordination reliable across a vast system of specialists.

That is why the communication crisis is also an opportunity. Once you see that knowledge work is mostly about transmitting and settling intent, you can stop treating every message as a one-off event. Instead, you can ask a more strategic question: what kind of network are we building, and how much friction are we willing to tolerate inside it?

The organizations that answer well will not merely communicate more. They will communicate with less waste, less anxiety, and more precision. In a world drowning in messages, the real advantage will belong to those who can make human coordination feel, at last, as effortless as tapping a card.