BETA TESTER LIFE

Most AI pilots fail not because the technology doesn’t work, but because nobody cleared space in people’s calendars to actually use it.

The Capacity Problem Nobody Talks About Most AI pilots don’t fail because the technology is bad. They fail because you launched a new tool into a calendar already running at…

The Capacity Problem Nobody Talks About

The Capacity Problem Nobody Talks About


Most AI pilots don’t fail because the technology is bad.

They fail because you launched a new tool into a calendar already running at 120%.


The Real Blocker Isn’t Resistance

When adoption stalls, the instinct is to blame culture. Or training. Or comms.

But ask anyone on the ground and they’ll tell you the truth: there’s no space.

No space to learn. No space to experiment. No space to fail safely and try again.

People aren’t resisting change. They’re drowning in the current workload.


Adoption Is a Capacity Problem

Here’s what I see repeatedly:

Leadership announces an exciting AI initiative → Teams nod along → Nothing changes → Leadership concludes “they’re not bought in”

The missing step? Nobody removed anything from the backlog.

You can’t pour water into a glass that’s already full. You just get spillage — and frustrated people mopping up the mess.


🧊 The Uncomfortable Question

Before your next AI rollout, ask this:

What are we going to stop doing to make room for this?

Not “deprioritise.” Not “park for later.” Actually stop.

If the answer is “nothing,” you’ve already predicted the outcome.


What Slack Actually Looks Like

Organisations that absorb change well have built-in margin:

This isn’t soft culture stuff. It’s operational design.


The Honest Audit

Take your AI adoption plan and run it through this filter:

QuestionHonest Answer
How many hours per week does this require from users?
Where do those hours come from?
What existing work gets removed or reduced?
Who has authority to make that call?

If you can’t fill in column two, you don’t have a plan. You have a wish.


💡 One Thing to Try

Before launching anything new, run a “stop doing” workshop with the team who’ll use it.

Ask: “If we’re adding this, what should we subtract?”

Let them tell you. They know where the waste is. They’ve just never been asked.


Where’s the space in your organisation to actually absorb new ways of working?


More frameworks for AI adoption at betatesterlife.com

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