The Argument
Agentic AI is not optimising the coordination overhead of organisations—it is eliminating the conditions that created it. The average knowledge worker spends roughly sixty per cent of their time on activities that exist not to create value but to synchronise humans who cannot share context directly: meetings, PRDs, handoffs, status updates. The AXD Institute calls this the coordination tax. It is not a management failure. It is the structural cost of running an organisation whose execution layer is made of people. When that execution layer shifts to autonomous agents, the tax does not decrease. It evaporates.
The Evidence
Microsoft's 2025 Work Trend Index found the average knowledge worker spends fifty-seven per cent of their time communicating and forty-three per cent creating. Sana's research arrived at the same conclusion: sixty per cent of the working week is consumed by "work about work." The coordination tax exists because when the execution layer is human, every participant carries a private model of the world—partial, decaying, shaped by role and recent conversations. The entire apparatus of meetings, specifications, and ceremonies exists to align these models closely enough for collective action. When an agentic system goes directly from human intent to working implementation—reading the codebase, understanding context, producing the artifact—the translation layers do not get optimised. They cease to exist.
The essay identifies a verification flywheel: as organisations simplify to work with agents, remaining work becomes more verifiable by agents, which means agents can do more, which means less coordination is needed. Each revolution accelerates the next. Standard automation forecasts systematically undercount this impact because they assume a fixed organisational structure and ask "which tasks can AI do?" But when the execution layer changes, the entire distribution of work changes with it. The forecast understates the impact by a factor of two or three—not because it overestimates AI capability, but because it fails to account for the structural reorganisation that follows.
What survives the compression is a thin layer of genuine human judgment: product vision (the upstream conviction about what should exist), brand as deep thought work, genuine care in customer relationships, engineering architecture as systems thinking at the frontier, and the design of agentic systems themselves. These are the hard skills—the ones requiring the deepest expertise—and precisely the skills where coordination overhead has been consuming the vast majority of practitioners' time. The typical product leader spends at best five to ten per cent of their week on product vision. Removing the coordination tax does not diminish the human role. It concentrates human effort on the work that was always most important.
The Implication
For practitioners, the essay produces four design imperatives. First, design for the compression, not the current state—organisations that optimise existing coordination processes are solving a problem about to disappear. Invest instead in delegation design (how humans specify what agents should do), observability (how humans monitor what agents are doing), and recovery architecture (how organisations respond when agents produce incorrect outputs). Second, build the trust architecture before you need it—the verification flywheel accelerates faster than most organisations expect, and governance structures designed retroactively are always more expensive than governance by design.
Third, recognise that the org chart is a hypothesis, not a fact—the current structure is an artifact of the current execution layer, and when that layer changes, the structure must change with it. Fourth, invest in the human capabilities that compound: agency (the conviction that this is a learnable challenge, not an existential threat) and ramp (the ability to learn quickly, driven by curiosity). The agentic AI transformation is not just changing what organisations sell. It is changing what organisations are. The coordination layer that defined the modern corporation for a century is dissolving. What remains is the irreducible layer of human judgment—and the trust infrastructure required to govern the agents that now perform everything else.