Capability Loop

Capability Loop.

A newsletter on closing the gap between AI adoption and AI outcomes. What changed in AI, what organisations further along are doing differently, and what either means for the work your people do on Monday. Written by Andy Lambert, founder of AcademyAI.

A professional working at their desk
Why it exists

Adoption is not capability.

Most organisations have the tools. 88% are still at the early stages of AI adoption, and 55% of AI decision makers say their organisation is investing in AI faster than employees can learn it. That gap is where the investment quietly leaks away.

Capability Loop is an honest look at what it takes to truly build organisation-wide AI capability to drive AI adoption and organisation transformation.

Source: Notion Global AI Transformation Study (2026), n=6,118 across 10 global markets.

Who it's for

Written for the people who answer for it.

CEOs, MDs, people leaders and CIOs carrying the AI question for their organisation.

You'll likely recognise yourself in this:

The tools are rolled out, usage looks healthy enough on the dashboard, and you still can't say, with evidence, whether your teams are genuinely better off. If you recognise yourself in this, then this newsletter is for you.

Capability Loop
Written by
Andy Lambert, founder of AcademyAI
Published on
Substack
Format
One read, four moves: signal, read, move, proof
Written for
CEOs, MDs, people leaders and CIOs
Price
Free to read, free to subscribe
What's inside

Four strands, every issue.

01 · The notes

First-hand, from inside the work.

Andy writing about building AcademyAI and working with the organisations using it: the decisions made with incomplete information, what worked, and what didn't. Honest rather than polished.

02 · The news

What the industry is saying.

What actually happened in AI: what the research is saying and how organisations are transforming operations to become AI-native at scale.

03 · The practice

What good actually looks like.

How organisations further along than most are structuring teams, governing AI, and measuring whether any of it is working. Specifics you can borrow, not case-study gloss.

04 · The releases

New models, and what they change.

Model releases and significant platform updates, translated into implications: which workflows shift, which risks move, and what it means for your roadmap.

How an issue reads

The same loop, every time.

Every issue runs the same four moves, so you always know what you're getting and where to stop if a section isn't yours. News that ends in an observation is entertainment. We'd rather finish on the thing you can act on, and how you'd know it worked.

01 · Signal

What actually changed

02 · Read

What it means for you

03 · Move

What to do about it

04 · Proof

How you'd know it worked

Read and subscribe.

Capability Loop is published on Substack. Free to read, free to subscribe, and one click to leave if it isn't for you.