There is a cost buried inside almost every enterprise that never appears on a balance sheet. Yet it compounds quietly, year after year, consuming thousands of hours of skilled employee time and quietly undermining the productivity gains that digital transformation was supposed to deliver.
It’s called ‘the coordination tax’ - and it may be one of the most significant, least addressed drains on enterprise performance today.
What Is the Coordination Tax, and Why Does It Matter?
The coordination tax is the cumulative cost, in time, attention, and energy, of aligning people around shared work. Status update meetings. Approval chains. Re-briefing stakeholders who missed a previous conversation. Chasing sign-offs from legal. Figuring out who owns what, and by when.
None of this is productivity itself - it is the overhead of organising the work. And in large, complex organisations, that overhead is enormous. It’s the administrative fog through which all ‘real work’ must trudge, like a marathon runner forced to stop every mile to explain what a marathon is.
Asana's most recent Anatomy of Work report found that workers spend a significant proportion of their working week on what the company terms "work about work" - coordination activities that consume time without directly advancing business outcomes.
McKinsey research on knowledge worker productivity has similarly found that internal communication and coordination are the activities that consume most of skilled workers' time.
"There's a coordination tax to get human beings aligned."
- Arnab Bose, Chief Product Officer at Asana.
It is a deceptively simple observation, but it points to something most organisations have simply accepted as an unavoidable cost of doing business.
Why Does Cross-Functional Work Create Hidden Productivity Costs?
The coordination tax compounds as organisations scale, and it accelerates as work becomes more cross-functional. This is where operational failure most often originates. Missed deadlines, misaligned expectations, and costly rework are almost never the result of capability failure. They are the result of coordination failure.
The shift to hybrid and distributed working has made this worse. Everyday coordination that once happened organically now requires deliberate, explicit effort. Every handoff must be documented. Every decision must be communicated.
The Microsoft Work Trend Index has consistently shown that meeting frequency and collaboration overhead have risen sharply in the post-pandemic enterprise, with no corresponding increase in reported productivity.
How Can AI-Powered Work Management Platforms Help?
This is where the conversation is shifting - and where the most credible progress is being made. AI-powered work management platforms are beginning to address the coordination tax in ways earlier generations of productivity software simply could not.
The mechanism is the work graph - a structured, dynamic record of how an organisation's work has been done. Not a document archive or knowledge base. A live data model of tasks, projects, portfolios, approvals, feedback loops, and outcomes.
"That kind of data is catnip for agents," says Bose, "because agents can go ahead and look through that history of the work graph and get a really good sense for - this particular type of campaign brief document worked really well for the historical 2023 or 2022 campaign."
When AI agents can draw on that record, they can operate with the institutional context that previously required a human to gather, brief, and maintain. The coordination tax doesn’t disappear, but a significant portion of it gets absorbed by the system rather than by people.
