Who Fixes Robots? – Logistics Apprenticeships

I spotted an interesting story this week that has nothing directly to do with logistics. The BBC is cutting back its apprenticeship scheme.

That caught my attention because, at a time when so many industries are worrying about where their future skilled workforce is coming from, investing in young talent seems rather important.

The picture in the UK is actually more complicated than simply saying apprenticeships are declining. In England, apprenticeship starts rose 4.1% in 2024/25, to 353,500, while participation reached 761,480. Higher apprenticeships are growing particularly rapidly: starts at Level 4 and above increased by 15.1%, with degree-level apprenticeships now accounting for 17.1% of all starts.

So apprenticeships are clearly becoming an increasingly credible alternative – and complement – to university. But there is a catch.

Much of the growth is at higher levels, while traditional Level 2 apprenticeships are shrinking. And that matters enormously to industries that need people who can actually build, maintain, repair and operate things, such as fork lift trucks and shuttles.

Engineering is a good example. Engineering and technology accounted for more than 100,000 apprenticeship starts in England in 2024/25, up 5% year-on-year. But EngineeringUK says engineering-related apprenticeship starts were still 9% below their 2014/15 level, while Level 2 engineering starts have more than halved since 2017/18.

Meanwhile, the recruitment problem isn’t going away. The IET found that 76% of engineering employers struggle to recruit people with key skills.

And this is where I think the logistics industry needs to pay attention.

The forklift truck technician of 2035 isn’t necessarily going to be the mechanic of 1995. They will need to understand batteries, electronics, sensors, software, connectivity and increasingly autonomous equipment. The same applies to the engineers who will install, maintain and troubleshoot warehouse robotics.

Those skills don’t magically appear when somebody turns 25.

Germany offers an interesting contrast. Its famous dual vocational training system remains deeply embedded in the relationship between education and industry. It isn’t immune from demographic pressures – 461,900 people started dual vocational training in 2025, 2.8% fewer than the previous year – but more than 1.2 million people were still in dual training at the end of the year.

And I was particularly struck by a story from STILL this week. The intralogistics manufacturer has welcomed 58 new apprentices and dual-study students across seven apprenticeship and four dual-study programmes. Better still, all 34 members of its previous Hamburg cohort have been offered jobs – and all accepted. STILL will now have 241 young people in training across eight German sites.

That’s not just recruitment. That’s workforce planning.

I don’t think every company needs to copy the German system, or that university is somehow the wrong choice. But if we are serious about automation, robotics and increasingly sophisticated material-handling equipment, we need to make sure there is a route into those industries for young people who want to learn by doing.

Because the robots may be getting smarter.

We’d better make sure the people looking after them are too.

Slow to Innovate or Knowing What Matters?

Logistics firms are often accused of being cautious about new technology. But in an industry where one small failure can disrupt an entire network, Stuart Simpson (pictured, below), Client Director, Logistics and Supply Chain at NashTech, asks whether apparent caution is really a sign of sharper commercial judgement.

Logistics has long carried a reputation for being slow to embrace new technology. Having worked in and around the industry for more than 40 years, I think that misses what is really happening. The sector is not short of ambition. Nor is it unfamiliar with innovation. Modern logistics networks depend on technology at almost every point, from warehouse operations and route planning to customer communications and final-mile delivery.

What distinguishes logistics is that technology cannot simply look impressive. It has to work. A minor error in one part of the supply chain can quickly become a much larger problem. Inaccurate data can affect warehouse availability, transport schedules, trading partners and customer deliveries. A failed connection between two systems can leave teams reverting to spreadsheets, emails and telephone calls just to keep goods moving.

In my experience, that operational reality shapes how logistics leaders assess new technology. The priority is not to be first, but to be confident that a solution will work across complex, interconnected systems. NashTech’s new report, Differentiating with Custom Software in Supply Chain and Logistics, reflects this mindset. Based on research among 150 senior logistics and supply chain technology decision-makers, it found that only 33% cited innovation or differentiation as a primary reason for developing custom software. By comparison, 43% pointed to the need for better integration with existing systems.

Where technology creates real value

That does not suggest a sector reluctant to change. It suggests one that judges technology by the operational problem it solves. Many logistics businesses are managing technology estates built up over years of growth, acquisitions and successive platform decisions. Warehouse management systems, transport platforms, enterprise software and customer applications may all work adequately in isolation, but the connections between them are often where friction begins.

Replacing an entire estate is rarely practical. The more valuable role for custom software is often less glamorous. It’s about connecting existing systems, improving the flow of information and removing the manual workarounds that build up between them. This is where the industry’s instinct for marginal gains becomes an advantage.

Improving an operational handover, reducing the number of exceptions requiring manual intervention or making data more consistent may not create the excitement of a major platform launch. But across a complex, high-volume network, small improvements can prevent delays, lower costs and strengthen resilience.

I have seen repeatedly that the most valuable technology projects are not always the most visible. They are often the ones that remove a persistent source of friction from the operation.

Will AI test the sector’s discipline?

The challenge is whether logistics businesses will retain that discipline as enthusiasm for AI grows.
Seventy-one per cent of logistics technology leaders believe increased AI adoption will have a major impact on custom software development. Yet 46% have struggled to integrate advanced AI with legacy systems, while 44% report a shortage of relevant internal expertise.

This creates a familiar danger, with businesses can become so focused on the visible technology that they overlook the less exciting foundations required to make it useful. AI cannot resolve conflicting records, disconnected systems or unclear ownership by itself. A sophisticated model sitting outside the day-to-day operation may make for a compelling demonstration, but it will not necessarily improve the movement of goods.

Start with the operational problem

The most effective starting point is therefore not “Where can we use AI?” It is “Where does the operation repeatedly lose time, accuracy or control?” That might be a manual warehouse handover, a recurring delivery exception or information that has to be reconciled across several platforms. Once the real constraint is understood, businesses can decide whether AI, integration work or a much simpler intervention offers the strongest return.

Logistics may not always be the loudest industry when a new technology emerges. But caution should not be confused with inertia. In a sector where the cost of failure travels quickly, knowing which innovations to pursue, and which to resist, may be the more valuable competitive advantage.

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