Research - in progress

Developing professional judgement in the AI age.

A white paper by Alex Young, written as part of the Weekend MBA at Imperial College Business School. The first interviews are complete and early themes are emerging - publishing November 2026.

Themes emerging

First
interviews complete
2
sectors in scope
6
months of fieldwork
Nov 26
white paper drops
The question

How are mid-market service firms redesigning junior development to preserve expertise and judgement formation in the AI age?

Generative AI is reshaping how service firms operate - drafting documents, summarising research, producing first-pass client deliverables. Most attention has gone to productivity. Far less has gone to what AI means for how expertise and judgement actually develop inside firms.

Junior work has historically done two things at once: produced client output, and developed the judgement and contextual understanding required for senior roles. When AI completes the task, what happens to the developmental work that used to come with it?

The risk is a talent pipeline problem - a generation of technically capable but judgement-thin mid-seniors who struggle with the advisory, client-facing work senior roles demand. For mid-market firms, without enterprise-scale learning infrastructure to fall back on, the risk is particularly acute.

Alex Young speaking on a panel
Scope

UK mid-market service firms. Two sectors.

Who

UK-headquartered firms selling expertise, advice or relationship-led services. Roughly 50–500 FTE or £10m–£100m revenue.

Where

Management consulting and professional advisory firms; and marketing, creative and communications agencies.

How

12–15 semi-structured interviews across firm leaders, people & talent leaders, and senior client-facing practitioners. Inductive thematic analysis.

Early findings

Early findings.

These are early signals from interviews across consulting, advisory, marketing and creative agencies. Not final conclusions - but the shape of the argument is starting to appear.

AI is compressing the apprenticeship layer

The research, drafting and admin work that used to put juniors in the room with senior thinking and client work is being automated fast. That raises a practical question: if juniors are no longer doing that work, where does the exposure come from?

Firms are experimenting deliberately

Leaders are not sitting still. They are separating internal AI use from client-facing work, creating structured forums for sharing practice, and flattening structures so juniors sit closer to clients and senior leaders earlier.

Judgement is being redefined

Good judgement is shifting from producing polished work to critically evaluating and controlling AI-generated output. The value moves from doing to knowing what good looks like, and catching what isn't there.

From the interviews

What's been said.

AI will always do the boring bit much better. But you still need a controller of that, to be able to navigate it.

a firm leader in a professional services consultancy

It can't just be about taking an output and putting your name to it. It has to be about how detailed a critical analysis you do on everything.

a firm leader in a professional services consultancy

Being in the room, thrown in the deep end, making plenty of mistakes, that's what accelerated me. It's still one of the most formative parts of my career.

a firm leader in a professional services consultancy

Someone who really knows their subject can say, 'I didn't read that' or 'I didn't say that,' they can spot when AI has introduced something that isn't actually there. Without that grounding, would people know enough to catch it?

a firm leader in a professional services consultancy
Timeline

Month by month.

Six months from question to published paper. Here's the path - and where I am on it right now.

  1. Phase 01
    May 2026
    Setting the question

    Sharpen the research question, map the existing literature, design the interview guide and clear ethics. The unglamorous bit that makes everything else possible.

  2. Phase 02
    June 2026
    Finding the rooms

    Confirm the sample - founders, MDs, people leaders and senior practitioners across consulting and creative agencies - and start the first interviews.

  3. Phase 03
    Jul-Aug 2026
    Listening hard

    Run the bulk of the interviews. Begin coding and thematic analysis. Watch the first patterns - and the surprises - emerge from the transcripts.

  4. Phase 04
    Sep 2026
    Themes emerging

    Interviews complete. Early signals are landing around where AI is removing junior exposure, what firms are doing in response, and how judgement itself is being redefined.

  5. Phase 05
    Oct 2026
    Drafting

    First full draft of the white paper. Build the visuals and the framework. Send it round for honest, unflattering feedback.

  6. Phase 06
    Nov 2026
    Publishing

    Edit, tighten, proofread - and ship. Public white paper out into the world, with a launch event and follow-up writing to come.

The output

A practical framework for leaders.

The final paper will be a publicly shareable white paper - written for founders, MDs and people leaders of mid-market service firms. The aim: a clear, usable framework for redesigning junior development in AI-enabled environments, alongside the principles, organisational conditions and leadership behaviours that appear to make it work.

Follow along

Updates & learnings.

I'll be sharing what I'm reading, who I'm speaking to and the patterns emerging on LinkedIn and through the newsletter. Come along for the ride.