AI can save you money today. But will it starve you of future talent and leaders?

For many SME leaders, AI feels like a gift.

Tasks that once consumed hours can now be completed in minutes. Administrative work is shrinking. Research can be completed almost instantly. Marketing content, reports, analysis and routine communications can increasingly be automated. At a time when many businesses are under pressure to improve productivity whilst controlling costs, the commercial logic is hard to ignore.

But there is a question that very few leaders seem to be asking.

If AI is removing many of the entry-level tasks that traditionally formed the foundation of a career, where will tomorrow’s managers, specialists and leaders come from?

Are entry level roles really disappearing?

The short-term benefits of AI are relatively easy to measure. Reduced costs, improved efficiency and increased output all appear quickly on the balance sheet. The long-term consequences are much harder to see. Yet the decisions businesses make today about automation could have a profound impact on the talent pipeline they depend upon in three, five or ten years’ time.

Research from King’s College London, published in late 2025, found that firms with workforces highly exposed to AI had already reduced junior positions by 5.8% on average since late 2022. In the UK technology sector, graduate roles fell by 46% during 2024 alone. These are not small adjustments. They are early signs of a fundamental shift in how careers begin and how capability is developed.

But aren’t entry level roles how people learn?

Historically, most professionals learned their craft through work that, if we’re honest, was often fairly routine. Junior accountants processed transactions. Trainee engineers completed repetitive technical work. HR administrators handled documentation and employee queries. Graduates built reports, analysed data and prepared presentations. The work itself was productive, but it was also educational. People were not simply completing tasks; they were learning how organisations functioned, how decisions were made and how to recognise patterns that would later inform their judgement.

Most business leaders can probably trace their own development back to work that would now be considered ripe for automation. At the time it may have felt repetitive, even frustrating, but it provided something valuable: exposure. Exposure to problems, exposure to decision-making, exposure to consequences and, perhaps most importantly, exposure to experience.

The challenge is that many of those learning opportunities are now disappearing.

This does not mean businesses should resist AI. Quite the opposite. Organisations that fail to embrace technology will almost certainly find themselves at a competitive disadvantage. The question is not whether to automate; it is whether we are being equally intentional about how we develop people.

So how can we develop the leaders of the future?

For many SMEs, this issue is particularly important. Unlike larger corporates, most smaller businesses cannot simply buy experienced talent whenever they need it. Future operational leaders, technical specialists and senior managers often emerge from within the organisation itself. The people leading departments in five years’ time are frequently sitting in entry-level roles today. If those roles disappear, businesses need to think carefully about what replaces them.

The most forward-thinking organisations are beginning to recognise that AI efficiency and talent development are not competing priorities. In fact, they need to sit side by side. The real opportunity is not simply to remove work. It is to redesign learning.

The traditional model of development was often slow and accidental. People gained experience because they happened to encounter situations over time. Valuable learning moments were buried amongst thousands of routine tasks. If organisations can identify those moments and deliberately engineer them through mentoring, structured exposure, coaching and accelerated responsibility, there is every reason to believe that capability can be developed faster than ever before.

Can we re-engineer workplace learning to accelerate development?

We are already seeing elements of this approach in sectors such as engineering, where skills shortages have forced businesses to become more intentional about development. Rather than waiting years for capability to emerge naturally, leading organisations are creating structured pathways that expose individuals to senior thinking, commercial decision-making and technical challenges far earlier in their careers. The objective is not to replicate the old model. It is to build a better one.

This is where SMEs may hold a genuine advantage. Large organisations often need years to redesign development frameworks across multiple business units. Smaller businesses can adapt far more quickly. They can test new approaches, refine them and build capability intentionally. The agility that can sometimes feel like a disadvantage may become one of the defining strengths of successful SMEs in an AI-enabled world.

Take Barker Associates as an example. The multi-disciplinary property consultancy grew from 50 to 140 people and more than doubled turnover to £12 million over three years with People Puzzles’ support. A key ingredient in sustaining that growth was the creation of visible career pathways that helped people understand how they could develop and progress within the organisation. That investment was not simply about retention. It was about ensuring the business had the capability it would need to support future growth.

How can leaders balance AI productivity with talent development?

Perhaps the biggest mistake organisations can make is viewing AI purely as a cost-reduction tool. The businesses that thrive over the next decade are unlikely to be those that simply do more with fewer people. They will be the organisations that use AI to remove low-value activity whilst simultaneously increasing the speed at which people learn, develop and contribute.

The question for business leaders is not just how much efficiency AI can create today. It is whether they are consciously building the capability their organisation will depend upon tomorrow.

Because while AI may be replacing some of the entry-level roles of yesterday, it has not removed the need for talent. If anything, it has made talent development more strategically important than ever.

And the businesses that understand that distinction early may create a competitive advantage that lasts long after the latest AI tools have become commonplace.