AI Job Cuts and the Unfilled Role: Where Should Freed Capacity Go?

What happened

On 22 October, [Barclays said](https://www.bbc.com/news/articles/cm4g1p347qgxo) it was cutting around 5,000 roles, about 5% of its global workforce. A thousand posts have already closed and a further 4,000 are expected to go by the end of the year. Around 60% of the reductions fall in support functions, including developers, and a significant share is expected in India, where some UK back office work is done. The bank was clear that not every cut is due to AI. Its chief executive, CS Venkatakrishnan, said "AI is the icing on the cake not the cake", adding that "you need to do the infrastructure build to get the benefits of AI."

Reaction split along familiar lines. Unite's Sharon Graham called it "a short-term, kneejerk approach" and argued that employers should be upgrading skills. An analyst at Quilter Cheviot said the cuts showed how far AI and automation could reshape banking.

A day later, Chris Simmance, writing in [Entrepreneur UK](https://uk.entrepreneur.com/technology/ai-junior-jobs-future-skills-gap), described the less visible version. In his experience, AI is showing up less as redundancy and more as roles that are never re-advertised. One agency he worked with had made "zero junior hires in the last 10 months, when it would probably have been five or six." His piece is a first-person commentary, not a survey, but the pattern will be familiar to many readers.

What it means for leaders

The Barclays announcement is the loud version. The unfilled role is the quiet one, and it is far more common.

Someone moves on. The team absorbs the work. A tool picks up some of the drafting. Six months later the post has not been filled and nobody remembers deciding that it would not be. The saving is real, but so is the cost, and the cost lands somewhere nobody is measuring: in the people left carrying more, and in the route by which less experienced staff used to learn the job.

Ian Hughes describes the trap in his book What Stays the Same:

> The better question is not "what can we now cut?" It is "what do we do with the capacity we have just freed?"

That is not an argument against efficiency. It is an argument for making the decision on purpose. Barclays' own framing helps here. If AI is the icing, the cake is the work itself: how it flows, who owns it, and how people become good at it. Ian makes the long-term risk plain in the same book: "Not the loss of hands. The loss of the path that turns hands into heads."

Three questions before a role goes unfilled

1. What was this role actually for? List the outcomes it supported, not just the tasks. Some of the work should simply stop. Some should be simplified. Only some is a good fit for AI.

2. Where has the work really gone? Ask the people who absorbed it. If it has moved into evenings and weekends, the saving is borrowed, not earned.

3. Who learns the job now? If the role was a first rung, decide how the next person will build judgement before the rung disappears.

Which toolkit tools help

The AI Enablement Toolkit for Leaders is a leadership method, not software. Several of its 26 tools fit this moment.

Tool 9, work inventory and opportunity triage, sorts work into stop, simplify, augment, automate, agent or keep human, so a vacancy becomes an explicit choice rather than a drift. Tool 7, see the work, and Tool 3, the change listening guide, help leaders find out where absorbed work has really landed. Tool 18, the proof-of-value scorecard, keeps cash saved separate from capacity released, which stops a quiet vacancy being booked as a clean win. Tool 14, protect the apprenticeship, is designed for exactly the risk Simmance describes: replacing the learning that junior work used to provide. Tool 2, the AI change charter, helps leaders say honestly what may change or be lost. Tool 25 lists "Automating away the school" among its anti-patterns.

Esm's training and enablement fits where the gap is leadership capability rather than tools: helping managers hold honest workforce conversations, design new learning routes for less experienced colleagues, and redesign work before automating it.

Honest limits

The toolkit does not tell anyone whether a particular role should exist. It cannot replace employment law, consultation duties or HR advice, and anything touching redundancy or changes to terms needs current specialist guidance. The figures above come from Barclays' announcement as reported by the BBC and from one commentator's experience; we have not seen data on how widespread unfilled junior roles are across the UK. Nor do we know how much of Barclays' reduction is attributable to AI, a point the bank itself made.

What the toolkit does offer is a way to make the decision visible: to name the outcome, see where the work went, and choose deliberately where the freed capacity goes next.

Tags: AI enablement, workforce planning, leadership, apprenticeship, AI adoption

Sources

- https://www.bbc.com/news/articles/cm4g1p347qgxo

- https://uk.entrepreneur.com/technology/ai-junior-jobs-future-skills-gap