Closing the Digital Skills Gap with Agentic AI: From Policy Reports to Employer Action

The UK’s digital skills gap costs the economy an estimated £63 billion a year, according to UK government research cited by the House of Commons Library. Behind that figure is a challenge employers are already experiencing: the skills organisations need are changing faster than the available workforce can always supply them.

AI is adding another layer of urgency. As organisations introduce new technologies and redesign roles around them, digital capability is no longer confined to IT teams. Employees across finance, healthcare, government, education, operations, HR, and other functions increasingly need new digital and AI-related skills to do their jobs effectively.

For employers, however, knowing the size of the problem is not enough.

The practical questions are much closer to home: Which skills will our organisation need? Which ones are we missing? Can we develop them internally? And where will we still need to hire?

Closing the digital skills gap requires employers to turn national workforce trends into specific decisions about reskilling, upskilling, workforce readiness, and recruitment. Increasingly, AI can help organisations identify and respond to those needs more efficiently, while people remain responsible for the workforce decisions that follow.

Key Takeaways

• The UK’s digital skills gap is estimated to cost the economy £63 billion annually, showing the scale of the challenge facing employers.
• A separate £23 billion+ estimate relates specifically to essential digital skills within the workforce. The two figures measure different things and should not be treated as interchangeable.
• Employers cannot solve a national skills shortage through external recruitment alone. Reskilling and upskilling existing employees also need to be part of the response.
• Workforce readiness starts with understanding the skills an organisation has today and the capabilities it expects to need next.
• A more continuous approach to identifying skills gaps can help employers respond before shortages become urgent vacancies.
• Agentic AI can support parts of this process by reducing manual work and helping HR teams turn workforce and recruitment information into action, while human judgement remains central.

How Big Is the UK’s Digital Skills Gap, in Pounds and in People?

The £63 billion figure provides one indication of the economic scale of the UK’s digital skills shortage. But it is not the only number employers may encounter.

FutureDotNow, drawing on Lloyds’ Consumer Digital Index, has highlighted another dimension of the problem: millions of UK adults lack essential digital skills for work. FutureDotNow estimates that this narrower, workforce-specific digital skills gap costs more than £23 billion annually. These figures are related, but they are not measuring exactly the same thing.

Figure	What It Measures	Scope
£63 billion a year	Estimated cost associated with the UK’s digital skills gap	Economy-wide
£23 billion a year	Estimated cost associated specifically with essential digital skills gaps in the workforce	Workforce-specific

They should therefore not be added together or used interchangeably. What they do demonstrate collectively is that the digital skills gap affects both economic performance and employer-level workforce readiness.

And the challenge is continuing to evolve. Skills England’s Annual Skills Report 2026 identifies intensifying skills shortages and the impact of AI on jobs and skills among the major challenges affecting the country’s skills system.

That matters because the digital skills gap is no longer simply a shortage of people in traditionally technical occupations. AI and other technologies are changing existing jobs too. A finance professional may need stronger data and AI capabilities. A healthcare employee may need to work confidently with new digital systems. Government teams may need skills that did not form part of the same roles several years ago.

In other words, the AI skills gap is becoming part of the wider digital skills challenge. Employers therefore need to think about two problems at once:

Where are we already short of skills? And: Which skills will become important as the way we work changes?

From National Skills Strategy to Employer Action

National skills research tells employers something important: the problem is real, significant, and unlikely to disappear on its own.

It can also inform a broader national skills strategy, helping policymakers and education providers understand where skills supply needs to change. But an employer needs a different level of detail.

A national report cannot determine which roles inside a particular organisation are changing fastest. It cannot identify which employees have the potential to move into emerging positions. And it cannot decide whether a specific capability should be developed internally or recruited from outside.

Those are employer decisions. For HR and talent leaders, that means translating the national skills picture into questions such as:

• Which capabilities will our strategy require over the next one to three years?
• Which of those capabilities already exist within the organisation?
• Where are the most important gaps?
• Which employees could realistically be upskilled or reskilled?
• Which gaps will require external recruitment?
• Which skills are becoming difficult to source in the external market?

This is where workforce planning, talent development, and recruitment need to work together. Consider an organisation introducing AI into several operational functions. It would be easy to respond by creating a list of new AI-related vacancies.

But that may not be the best first move. Some roles may require specialist external hires. Others may require existing employees to develop stronger digital capabilities. Some work may need to be redesigned entirely.

The objective is not simply to hire more digital talent. It is to determine which capabilities the organisation needs and the most effective way to build or acquire them.

Recruitment data can also provide useful evidence. Identifying skill gaps at the assessment stage can show where candidates consistently meet or fall short of job requirements, helping employers understand whether a capability is readily available in the external market.

Reskilling the Workforce You Already Have, Instead of Competing for a Shrinking Pool

External hiring remains essential when an organisation does not have the skills it needs internally.

But hiring cannot be the only response to a widespread skills shortage.

If hundreds of employers are competing for the same scarce capabilities, every organisation cannot solve the problem simply by recruiting from the others.

That is why reskilling and upskilling matter.

Upskilling Builds on the Role Someone Already Has

Upskilling develops additional capabilities that help an employee perform their current or evolving role.

An HR professional might develop stronger people analytics skills. A finance employee might learn how to work with AI-supported forecasting tools. An operations manager might build greater data literacy as decision-making becomes more technology-driven. The employee’s role may evolve, but their existing experience remains valuable.

Reskilling Prepares Someone for Different Work

Reskilling goes further. It develops the capabilities someone needs to move into a substantially different role or area of work.

For employers, this can create an alternative to searching externally for every emerging skill requirement. An employee who already understands the organisation, its customers, processes, and sector may have valuable knowledge that an external candidate would need time to acquire. If that person also has the aptitude to develop the required technical or digital skills, reskilling may be a viable route.

The Hard Part Is Deciding Who to Develop

“Reskill your workforce” sounds straightforward at policy level. At organisational level, it creates another question: Who should you reskill, and for what?

Training everyone in every emerging technology is neither realistic nor strategically useful. Employers need to understand where future capability requirements are developing and which employees have the potential to meet them. A structured approach to spotting potential can help organisations look beyond job titles and tenure and consider relevant evidence when deciding where development investment may have the greatest value.

This creates a much more actionable approach to workforce readiness:

Skills we have → Skills we will need → Gaps → Develop internally or recruit externally

The final step will not always be the same. And that is exactly the point.

How Continuous Skills-Gap Detection Catches the Problem Before It Becomes an Unfilled Role

Many organisations assess skills periodically. That can provide a useful baseline, but the skills required by the business do not wait for the next annual review.

New technology enters the organisation. Customer expectations change. Regulations evolve. Projects create new requirements. Roles are redesigned. Employees leave or move internally. The result is that future-of-work skills can change considerably between formal planning cycles. A more continuous approach means revisiting the gap as those conditions change.

Rather than asking once a year:

What skills do we have?

The organisation repeatedly considers:

What skills do we have now, what are we beginning to need, and has the gap changed enough to require action?

The process looks like this:

Current skills → Future requirements → Gap → Reskill, upskill or hire → New information → Reassess

That does not mean every workforce decision needs to happen automatically. It means the information supporting those decisions can become more current.

Where Agentic AI Fits

This is where agentic AI can become useful. Traditional HR systems are often designed to store information or execute predefined actions. Agentic AI can support broader workflows towards a defined goal, reducing the amount of manual coordination required between individual steps.

In recruitment, for example, once an organisation determines that a skills gap needs to be addressed through external hiring, AI can support activities such as candidate sourcing, matching, structured assessment, scheduling, and recruitment administration. That helps close an important operational gap.

Workforce planning identifies the capability the organisation needs. Human leaders decide whether to build or hire it. Recruitment then has to find the people who can deliver it. Agentic AI is most valuable when it helps those processes move more efficiently without taking the consequential decision away from HR teams and hiring managers.

Use Recruitment Data as an Early Signal

Recruitment itself can also reveal information about the skills market. If candidates repeatedly struggle to meet a particular requirement, roles remain open longer than expected, or assessment outcomes reveal a consistent capability gap, that information can help HR leaders reconsider the original workforce assumption.

Perhaps the role requirements need to change. Perhaps the capability should be developed internally. Perhaps the organisation needs to allow more time to recruit. Or perhaps the skill has become important enough to justify a different talent strategy. The value is in connecting that information back to workforce planning rather than allowing it to remain inside recruitment reports.

This creates a more responsive cycle:

Identify → Assess → Act → Learn → Reassess

That is how organisations can move from simply knowing a digital skills gap exists to actively managing their exposure to it.

The Gap Will Not Close Itself Between Reports

The £63 billion figure makes the scale of the UK’s digital skills gap difficult to ignore. But the number itself cannot close a single skills gap inside an organisation. That requires employers to determine which capabilities matter to their strategy, understand what already exists within the workforce, invest in people who can develop, and recruit where critical capabilities cannot be built internally. The strongest response is therefore not reskilling or recruitment.

It is knowing when to use each. And as digital and AI requirements continue to change, organisations need to make that decision from a current view of their workforce rather than waiting until a skills shortage has already become an urgent vacancy.

Ready to Turn a Skills Gap Into a Hiring Plan?

Some digital skills gaps should be solved through upskilling or reskilling. Others will require new talent. Once the decision is to hire, the challenge becomes turning that workforce requirement into a structured recruitment process and finding candidates with the capabilities the organisation actually needs.

Elevatus is an agentic AI hiring operating system that helps enterprises and governments turn hiring requirements into structured recruitment action. It brings AI and automation across the recruitment journey, helping teams move from approved vacancies to sourcing, candidate evaluation, assessment, and hiring with less manual coordination.

With Elevatus, organisations can:

✅ Translate identified skills needs into structured recruitment workflows once external hiring is required.
✅ Evaluate candidates more consistently using structured assessment and AI-supported matching against job requirements.
✅ Reduce repetitive hiring work while keeping recruiters and hiring managers responsible for consequential talent decisions.

Know which skills you need but struggling to find them? Request your free Elevatus demo today.

Frequently Asked Questions

What Is the Digital Skills Gap?

The digital skills gap is the difference between the digital capabilities employers need and the skills currently available in the workforce. It can appear as difficult-to-fill technology vacancies, shortages of particular capabilities, or existing employees needing new digital skills as their roles evolve.

How Big Is the UK’s Digital Skills Gap?

The UK’s digital skills gap has been estimated to cost the economy approximately £63 billion per year. Other research measures narrower parts of the problem, including essential workplace digital skills. Because those studies use different scopes and methodologies, their figures should be considered separately.

What Is Skills England, and What Does Its 2026 Report Say?

Skills England helps assess skills needs and strengthen the connection between employer demand and the skills system. Its Annual Skills Report 2026 identifies intensifying skills shortages and the impact of AI on jobs and skills among the significant challenges affecting the workforce. For employers, the implication is that digital skills planning needs to account for both existing shortages and how technology may change future roles.

Are the £63 Billion and £23 Billion Digital Skills Gap Figures the Same?

No. The £63 billion estimate describes the wider economic cost associated with the UK’s digital skills gap. The £23 billion+ figure cited by FutureDotNow concerns a narrower workforce-specific gap in essential digital skills. They have different scopes and should not be combined or presented as alternative versions of the same estimate.

How Can Employers Start Closing the Digital Skills Gap?

Start by identifying the capabilities the organisation expects to need and comparing them with the skills currently available. From there, determine which gaps can realistically be addressed through upskilling, reskilling, internal mobility, recruitment, or changes to role design. Employers should also revisit those assumptions regularly as technology and business requirements change.

How Can an Employer Start Closing the Digital Skills Gap Without Waiting for the Next Policy Report?

By treating skills-gap detection as continuous rather than annual, and by reskilling the workforce already in place rather than competing solely for the shrinking pool of externally available talent. Structured identification of which existing staff have the aptitude to move into digitally skilled roles turns a national statistic into a set of specific, actionable internal moves.

Author