The manufacturing skills gap is putting real pressure on businesses, but recruitment is only part of the problem. In many factories, highly skilled people are still spending too much time on repetitive reporting, reconciliation and admin that do not need their experience. That is why solving the manufacturing skills gap is not just about finding more talent, but about using the talent you already have more intelligently.
Every manufacturing leader I meet tells me the same thing within the first ten minutes. “We can’t get the people.”
And they’re right. The skills gap in UK manufacturing is real, structural, and getting worse. Experienced engineers are retiring faster than apprentices are coming through. The talent pool for CNC programmers, quality specialists, and production planners has been thinning for a decade. And the competition for whoever’s left is fierce.
But here’s what I’ve started noticing when I actually spend time on factory floors and in planning offices: the skills gap isn’t always where people think it is.
The hidden waste of brilliant people
I was with a client recently, a precision engineering firm with about 120 people and a strong order book, and I asked their head of quality how she spent her week. She’s one of the most experienced quality professionals I’ve met. Twenty years in the sector. Deep product knowledge. The kind of person who can spot a problem in a batch before the data confirms it.
She spends roughly fifteen hours a week compiling reports.
Not analysing them. Not making decisions based on them. Compiling them. Pulling data from one system, cross-referencing it with another, formatting it into a spreadsheet, emailing it to three different people who each want it in a slightly different layout.
Fifteen hours. Every week. Of a person whose real value is her judgement, her experience, and her instinct, none of which are being used during those fifteen hours.
She’s not the exception. She’s the norm.
The allocation problem nobody talks about
The conversation about the skills gap in manufacturing almost always focuses on recruitment. How do we attract more people? How do we compete with other sectors on salary? How do we make manufacturing seem exciting to school leavers?
Those are all valid questions. But they’re long-term answers to a problem that’s hurting today. And they ignore a question that’s faster to answer and arguably more impactful: are you using the skilled people you already have on the right things?
In almost every manufacturer I’ve worked with, the answer is no. Not because anyone made a bad decision, but because the admin grew gradually. A report here. A reconciliation task there. A manual data check that someone started doing five years ago and nobody ever questioned. It’s the operational equivalent of boiling a frog. The workload crept up so slowly that nobody noticed the best people in the business were now doing work that doesn’t need a human brain.
Where AI actually helps (and where it doesn’t)
Let me be clear about something. AI is not going to replace your best machinist. It’s not going to run your production line. It’s not going to magically produce qualified engineers from thin air.
What it can do is take the repetitive, rule-based, data-heavy tasks off the desks of the people who shouldn’t be doing them. Report generation. Data reconciliation. Purchase order matching. Scheduling optimisation. Compliance documentation.
These are tasks that follow patterns. They have clear inputs and outputs. They don’t require human intuition. And collectively, they’re consuming an astonishing amount of skilled time across UK manufacturing.
The real question isn’t “can we afford to invest in AI?” It’s “can we afford to keep paying skilled wages for unskilled work?”
Starting in the right place
The mistake most people make is trying to automate the most complex thing first. The impressive thing. The thing that’ll look good in a case study.
In my experience, the right place to start is the most annoying thing. The task your best people complain about. The weekly report everyone dreads. The reconciliation process that eats up every Monday morning. That’s where the time saving is immediate, the ROI is obvious, and, crucially, that’s where your team will actually feel the difference.
Because here’s the thing about change: people don’t adopt new tools because you tell them to. They adopt them because the tools made their Monday better. Get that first win right, and the rest follows.
If your most experienced people are spending their weeks on work that doesn’t need their experience, there’s a conversation worth having. We’re good at that particular conversation.
Author: Colin Telford, COO
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