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Business benefits of upskilling: future-proofing teams for the AI economy

Kaplan · 4 minute read · Published 30 Mar, 2026

A diverse group of four professionals in business casual attire engaged in a focused discussion around a conference table in a modern, glass-walled office.

AI is already reshaping how organisations operate — from automating routine tasks to enabling more advanced, data-driven decision-making. But while investment in technology is accelerating, many businesses are overlooking a critical factor: whether their people have the skills to use it effectively.

Upskilling is quickly becoming the most practical way to close that gap. In fact, 97% of UK businesses report at least one AI skills gap* — highlighting just how widespread the challenge is.

Rather than relying solely on external hires, organisations are investing in their existing workforce to build AI and digital capability from within. The result is a more agile, cost-effective, and future-ready business.

Here’s what that looks like in practice.

Reduce recruitment costs — and dependency on external talent

Demand for AI and digital skills continues to outpace supply. Hiring in this space is not only expensive, but increasingly unsustainable as a long-term strategy.

Upskilling provides a more controlled and cost-effective alternative.

Developing existing employees allows organisations to:

Reduce recruitment spend and time-to-hire
Minimise onboarding and integration challenges
Build capability in line with specific business needs.

It also reduces reliance on a highly competitive external talent market, giving organisations greater stability as they scale their digital capability.

Close the AI and digital skills gap

Many organisations have already invested in AI tools, but without the skills to apply them effectively, the return on that investment is limited.

Upskilling ensures that technology and capability evolve together.

By building skills in areas such as data literacy, automation, and AI adoption, organisations can:

Increase utilisation of existing tools
Improve decision-making through better use of data
Enable teams to identify new opportunities for innovation.

The challenge is clear: 49% of employees haven’t had the opportunity to learn how to use AI at work, while over half report receiving little to no AI training** — leaving a significant gap between investment and impact.

Strengthen your employee value proposition (EVP)

Career development is now a key driver of attraction and retention. Employees increasingly expect clear opportunities to build future-facing skills.

Upskilling plays a central role in delivering this.

It demonstrates a long-term investment in employees’ careers while helping organisations:

Improve engagement and retention
Attract talent seeking growth opportunities
Build a culture of continuous learning.

In a competitive labour market, this can be a significant differentiator — particularly as demand for digital and AI skills continues to grow.

Improve operational efficiency

Upskilling has a direct impact on how effectively teams operate.

With the right skills in place, employees are better equipped to:

Automate manual or repetitive processes
Work more efficiently with data and digital tools
Identify and implement process improvements.

This is where AI investment starts to translate into measurable outcomes. 66% of UK organisations report productivity gains from AI, while 63% say it is improving operational efficiency*** — but these benefits depend on having the right skills in place to support adoption.

Build a workforce that can adapt to change

The pace of technological change shows no signs of slowing. Organisations that rely on static skillsets risk falling behind.

Upskilling supports a more adaptable workforce.

By embedding continuous development, businesses can ensure their people are able to evolve alongside new technologies — reducing disruption and maintaining momentum during periods of change.

The long-term impact is significant. AI-related roles are expected to account for up to 12% of the UK workforce by 2035****, reinforcing the need to start building these capabilities now.

FAQs

What is upskilling?

Upskilling involves developing an employee’s existing skillset to enhance their performance in their current role, often with a focus on emerging areas such as data and AI.

Why is upskilling important for businesses adopting AI?

Without the right skills in place, AI investments are unlikely to deliver full value. Upskilling ensures employees can apply new technologies effectively, improving both adoption and outcomes.

Is upskilling more cost-effective than hiring?

In many cases, yes. Upskilling reduces recruitment costs, shortens time-to-productivity, and enables organisations to build skills that are directly aligned to their needs.