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The problem

AI licences do not create adoption.

Most enterprise AI rollouts do not fail at procurement. They fail after the licences are live.

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Enterprise Copilot activation

35.8%

For every 1,000 licences bought, about 358 people use them and 642 return nothing.

Active users
358
Idle seats
642

Usage evidence

The gap between licences bought and licences used

Enterprise Copilot activation sits at roughly 35.8%. For every 1,000 licences bought, about 358 people use them and 642 return nothing.

30–40% of licences go unused within the first 90 days of a full-workforce rollout.

On a 500-seat rollout, 64% idle seats wastes roughly $115,000 a year. At 10,000 seats it's $2.3 million.US-sourced cost examples.

83% of IT leaders say the top barrier is that they cannot see who is actually using what.

The ownership gap

Nobody owns adoption

IT owns licences and measures deployment, not usage. L&D owns training but doesn't know the tools well enough to teach workflow change. The business units own the workflows but have no mandate to redesign them.

01

IT

Owns licences and measures deployment, not usage.

02

L&D

Owns training but doesn't know the tools well enough to teach workflow change.

03

Business units

Own the workflows but have no mandate to redesign them.

Adoption falls between three functions, and work that falls between functions doesn't get done.

What usually happens

The standard rollout pattern

This is a rollout and ownership problem, not a product problem.

  1. 01

    Licences are procured and deployed across the workforce.

  2. 02

    Training is offered generically, away from the work people need to change.

  3. 03

    A small group of naturally curious users finds value and keeps using the tools.

  4. 04

    Usage data remains fragmented or invisible, so no one can see where adoption has stalled.

  5. 05

    Managers have no mandate to change workflows, reinforce new habits or remove barriers.

  6. 06

    Adoption becomes a background concern until the renewal conversation begins.

What makes the difference

Organisational factors carry more weight.

Microsoft's 2026 Work Trend Index (20,000 knowledge workers, 10 markets) found organisational factors — culture, manager support, structured rollout — account for more than twice the impact on AI success as individual factors, 67% versus 32%.

Organisational factors

67%

Individual factors

32%

The product is not the issue

Copilot is already where people work.

47-point gap

There is a 47-point gap between regular Copilot use and regular ChatGPT use among workers who have access to each (Recon Analytics, January 2026). Copilot is built into Word, Outlook, Teams and Excel and still loses. That is a rollout problem, not a product problem.

The practical constraint

Why this does not resolve itself internally

IT, L&D and the business each have part of the answer. None of them owns the cross-functional work: connecting usage data to real workflows, identifying the barriers inside specific teams, and giving managers a practical way to reinforce change.

Without a clear owner, the work competes with delivery priorities inside each function. The licences remain live, the original purchase is difficult to assess, and the organisation waits for the next renewal to reopen the question.

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