Blog 04 - The Skills Revolution: Why Employee Learning Cannot Stop

The Skills Revolution: Why Employee Learning Cannot Stop

For much of the twentieth century, a common career model was relatively simple: complete education, enter employment, gain experience and progress over time. That model is becoming increasingly difficult to sustain. Technology, Artificial Intelligence (AI), demographic change, green transformation and new business models are changing the skills organisations require at a pace that makes one-time education insufficient.

The contemporary employee therefore faces a different reality. A qualification may help someone enter a profession, but it cannot guarantee that the same knowledge will remain sufficient throughout an entire career. Learning and Development (L&D) has consequently moved from being a supportive HR activity to becoming a central issue in organisational capability and workforce strategy.

The competitive advantage of the future may not belong to the organisation that currently has the most skilled workforce, but to the organisation whose workforce can learn, unlearn and relearn faster.

Skills Are Changing Faster Than Careers

The scale of this challenge is visible in the World Economic Forum’s Future of Jobs Report 2025. Based on the expectations of more than 1,000 employers representing over 14 million workers, the report estimates that approximately 39% of workers’ existing core skills will be transformed or become outdated by 2030 (World Economic Forum, 2025).

Figure 1. Expected disruption to workers’ existing skill sets by 2030. Author’s illustration based on World Economic Forum (2025).

This does not mean that 39% of employees will become irrelevant. It means that organisations must expect a substantial proportion of the knowledge and capabilities used in today’s jobs to change. Employees may need to use new technologies, interpret new forms of data, solve different problems or work in redesigned roles.

From a Strategic HRM perspective, this makes skills planning a business issue rather than simply a training-calendar issue. Bratton and Gold (2017) explain that employee development should be connected with organisational objectives. Training is most valuable when it builds the capabilities required for future performance, rather than merely responding to yesterday’s problems.

The Training Need Is Massive

The same World Economic Forum report provides a useful way to understand the scale of the reskilling challenge. If the global workforce were represented by 100 people, 59 would require reskilling or upskilling by 2030. Of these, 11 may not receive the training they need, leaving them at greater risk of displacement.

Figure 2. Projected reskilling and upskilling need to 2030. Author’s illustration based on World Economic Forum (2025).

The report also identifies skills gaps as the largest barrier to business transformation, cited by 63% of surveyed employers. This is important because it shows that the problem is not only about protecting employees from technological disruption. Skills shortages can also prevent organisations from implementing their own strategies.

An organisation may purchase advanced technology, invest in new systems or identify new market opportunities, but these investments create limited value if employees do not have the skills to use them effectively.

Technology investment without skills investment creates a capability gap.

The organisation owns the tool, but the workforce cannot fully convert that tool into performance.

AI Literacy Is Becoming a General Workforce Skill

One mistake organisations can make is assuming that only programmers and data scientists need AI skills. OECD evidence suggests a very different picture.

The OECD (2026) reports that fewer than 1% of workers are likely to require advanced AI-specific skills such as programming or developing AI models. For most employees, the more important capabilities are broader: digital skills, the ability to use and interpret data, problem-solving, creativity, innovation and managerial judgement.

This has significant implications for L&D. Organisations do not need to turn every employee into an AI engineer. They need to build enough AI literacy for employees to understand what the technology can do, how to use it responsibly and when human judgement is still required.

The OECD (2025) also warns that current training supply may not be sufficient to meet the growing demand for general AI literacy. This suggests that the speed of technological adoption may be moving faster than the systems available to prepare workers for it.

Future Skills Are Not Only Technical

The growth of AI does not make human skills irrelevant. In many situations, it makes them more important.

The World Economic Forum (2025) identifies AI and big data, networks and cybersecurity, and technological literacy among the fastest-growing skills. However, analytical thinking, resilience, leadership, collaboration, creative thinking and flexibility remain central to future work.

The International Labour Organization (2025) takes a similarly broad view through its Global Framework on Core Skills, which groups future-ready capabilities into social and emotional, cognitive and metacognitive, digital and green skills.

Figure 3. Future-ready core skill groups. Author’s illustration based on the ILO Global Framework on Core Skills (ILO, 2025).

This framework is valuable because it challenges the assumption that reskilling is only about technical courses. An employee may know how to use an AI tool and still perform poorly if they cannot evaluate its output, communicate with colleagues, solve ambiguous problems or make ethical decisions.

In an AI-enabled workplace, a strong employee may therefore require a combination of digital capability and human capability.

Training Works Better When It Is Connected to Real Work

Training is sometimes treated as a one-off event: employees attend a workshop, receive a certificate and return to work. However, real capability development is more complex.

Pedler, Burgoyne and Boydell (2013) emphasise self-development and continuous learning as important parts of managerial development. This idea becomes even more relevant when job requirements change continuously.

Kolb’s experiential learning perspective is also useful. Employees develop when they move through experience, reflection, conceptual understanding and experimentation. In practice, this means that organisations should not only teach employees what a new technology does. They should allow employees to use it in real tasks, reflect on the results, receive feedback and improve their approach.

Effective workplace learning should therefore combine:

Formal training + practical application + coaching + feedback + reflection + repeated practice.

This approach also recognises that people learn differently. Some employees may require structured instruction while others learn more effectively through guided experimentation, peer support or mentoring.

Training Is More Effective When Employers Actually Support It

Recent OECD evidence provides a strong argument for organisational investment in training. The OECD (2026) reports that more than half of workers using AI had received employer-funded training, and employees who received training were more likely to report positive outcomes from AI adoption, including improved job performance and better working conditions.

This is strategically significant. It suggests that organisations should not simply introduce technology and expect employees to adapt independently. Training influences whether technological change becomes productive and whether employees experience it positively.

The same OECD report notes that around 40% of employers in manufacturing and finance that had not adopted AI identified a lack of skills as a major barrier. More than half of SMEs not using generative AI also reported skills constraints.

This shows that workforce capability can determine whether an organisation is able to adopt innovation at all.

Who Is Responsible for Upskilling?

A difficult HRM question is whether responsibility for learning belongs to the organisation or the employee.

One argument is that employees must take responsibility for their own employability. Individuals benefit personally from new skills because those skills can improve career mobility and future earnings. From this perspective, workers should continuously invest in their own development.

However, this argument becomes unfair if organisations introduce technologies that significantly change jobs while expecting employees to fund and manage all necessary retraining themselves. Employers choose many of the systems, processes and strategic changes that create new skill requirements.

The OECD (2026) therefore argues for lifelong training and reskilling with shared responsibility among employers, workers and governments. This shared approach is more realistic because labour-market transformation affects all three groups.

Employees should own their learning, but organisations must create the opportunity, time and support required for that learning to happen.

The Risk of Unequal Access to Learning

A further challenge is that training opportunities are not always distributed equally.

High-performing employees, managers and professionals may receive more development opportunities because organisations already view them as valuable. Lower-skilled employees, temporary workers or employees in declining roles may receive less investment precisely when they need reskilling most.

This can create a development divide: the employees who already have strong skills continue to accumulate new capabilities while others fall further behind.

Strategic HRM should therefore consider not only how much an organisation spends on training, but also who gets access to learning, whose skills are being developed and whose future employability may be at risk.

A Global HRM Perspective

The skills challenge is particularly complicated for multinational organisations because learning opportunities, education systems and digital infrastructure differ across countries.

Brewster et al. (2017) emphasise that International HRM operates across different national and institutional contexts. A global company may therefore have employees performing similar roles but with very different access to digital tools, professional qualifications and development opportunities.

The ILO’s 2025 work in the Philippines provides a useful example of this challenge. Its skills initiatives combine digital capability with communication, teamwork, creativity, critical thinking, AI literacy and ethical awareness, particularly for workers and groups that may otherwise be excluded from digital transitions.

For global organisations, this means that a single online course is not necessarily a global L&D strategy. Effective international development may require localisation, language support, different delivery methods and sensitivity to employees’ existing skill levels.

🎥 Recommended Video

World Economic Forum – The Future of Jobs Report 2025

This short World Economic Forum video summarises how changing technologies, jobs and skill requirements are increasing the need for upskilling and reskilling.

▶ Watch on YouTube

My Reflection

Before exploring this topic, I mainly thought of training as something organisations provide when an employee lacks a specific skill. I now see Learning and Development as much more strategic.

If almost two-fifths of existing skill sets are expected to change by 2030, training cannot be treated as an occasional activity. It must become part of normal working life.

The OECD evidence also changed my perspective on AI skills. I previously assumed that the main challenge would be teaching employees advanced technical knowledge. In reality, only a small proportion of workers may need specialist AI-development skills. Most employees will need broader digital literacy together with critical thinking, communication, problem-solving and the ability to evaluate information.

This makes continuous learning relevant to almost every profession, not only IT-related careers.

I also believe organisations should avoid blaming employees for “skills gaps” if they do not provide realistic opportunities to learn. Employees need time, access, guidance and a culture where asking questions and experimenting with new skills is accepted.

A qualification may help us begin a career. The ability to keep learning is what may allow us to sustain one.

💬 Join the Discussion

Who should carry the greatest responsibility for keeping employees’ skills relevant: the employee, the employer or the government?

And if an organisation introduces technology that changes an employee’s role, should the organisation be responsible for providing the necessary retraining? Share your view in the comments.

References

Bratton, J. and Gold, J. (2017) Human Resource Management: Theory and Practice. Basingstoke: Palgrave Macmillan.

Brewster, C., Sparrow, P., Vernon, G. and Houldsworth, E. (2017) International Human Resource Management. 4th edn. London: CIPD.

International Labour Organization (2025) Core skills in the age of artificial intelligence. Available at: https://www.ilo.org/resource/other/core-skills-age-artificial-intelligence (Accessed: 10 August 2026).

Kew, J. and Stredwick, J. (2016) Human Resource Management in a Business Context. 3rd edn. London: CIPD.

Kolb, D.A. (1984) Experiential Learning: Experience as the Source of Learning and Development. Englewood Cliffs, NJ: Prentice Hall.

OECD (2025) Bridging the AI skills gap: Is training keeping up? Paris: OECD Publishing. doi:10.1787/66d0702e-en. Available at: https://www.oecd.org/en/publications/bridging-the-ai-skills-gap_66d0702e-en.html (Accessed: 10 August 2026).

OECD (2026) AI and skills: What we know so far. Paris: OECD Publishing. doi:10.1787/f843b352-en. Available at: https://www.oecd.org/en/publications/ai-and-skills_f843b352-en/full-report.html (Accessed: 10 August 2026).

Pedler, M., Burgoyne, J. and Boydell, T. (2013) A Manager's Guide to Self-Development. Maidenhead: McGraw-Hill.

World Economic Forum (2025) The Future of Jobs Report 2025. Geneva: World Economic Forum. Available at: https://www.weforum.org/publications/the-future-of-jobs-report-2025/ (Accessed: 10 August 2026).