By Alec Gardner
As organisations respond to artificial intelligence, automation, demographic change and shifting employee expectations, reskilling has become one of the most important responsibilities of learning and development. Yet there is a risk that reskilling is being framed too narrowly.
Too often, reskilling is treated as a technical exercise: teach the new system, explain the new process, introduce the new tool and move people quickly into the next role. That matters. Technical competence is essential. But it is not enough.
The future of reskilling is not simply about helping people keep up with machines. It is about helping people remain capable, confident and human as work continues to change.
The World Economic Forum’s Future of Jobs Report 2025 identifies technological change, demographic shifts, economic uncertainty and the green transition as key forces reshaping work through to 2030. It also highlights that skill disruption will remain a defining workforce issue. McKinsey’s 2025 research on AI in the workplace similarly suggests that many organisations are investing in AI, but very few believe they have reached maturity, with leadership, workflow redesign and adoption barriers remaining significant challenges.
For learning and development professionals, the message is clear: reskilling cannot be reduced to tool training. It must prepare people for change itself.
Traditional workforce development often began with a role. We identified the duties, mapped the required skills, built the program and trained people to competence. That approach still has value, particularly in regulated or technical environments. But in a changing world, roles are becoming less stable than the capabilities beneath them.
A person may learn a new platform this year, only to find it replaced or significantly altered next year. A team may adopt AI tools that change how reports are written, decisions are prepared or customer interactions are managed. A manager may need to lead hybrid teams, support wellbeing, respond to psychosocial risk and make ethical decisions about technology use.
The real capability is not only knowing the current system. It is learning how to learn, adapt, question, collaborate and exercise judgement when the system changes.
This shifts the purpose of reskilling. We are not just preparing people for the next task. We are preparing them for the next transition.
AI capability is now part of the reskilling agenda. Employees need to understand how to use generative AI safely, productively and ethically. They need to know how to ask better questions, evaluate outputs, protect sensitive information and recognise when human review is required.
But AI capability without human judgement can create new risks. Poorly reviewed AI outputs can spread errors. Automated processes can reinforce bias. Employees may become faster without becoming more thoughtful. In learning environments, learners may complete tasks with AI support without developing the underlying capability to explain, apply or defend their work.
The Organisation for Economic Co-operation and Development has emphasised the need for both specialised AI skills and broader AI literacy across the workforce, noting that upskilling and reskilling are essential as AI adoption increases. OECD’s broader skills outlook also points to the importance of lifelong learning and agile, labour-market-informed approaches as skills demands evolve faster than traditional systems can respond.
For L&D teams, this means AI learning should not only ask, “Can people use the tool?” It should also ask:
Can they check the output?
Can they explain the decision?
Can they recognise risk?
Can they use AI without outsourcing their professional judgement?
Emotional intelligence is often treated as a leadership or communication skill. In a changing workplace, it is also a reskilling capability.
People do not experience change as a neat project plan. They experience it through uncertainty, confidence, identity, status, workload and fear of being left behind. When employees are told they need to reskill, some hear opportunity. Others hear threat.
This is where emotional intelligence matters. Learners need self-awareness to recognise their own resistance or anxiety. They need self-management to stay engaged when learning feels uncomfortable. They need social awareness to work with others who may be adapting at a different pace. They need relationship skills to ask for help, give feedback and participate in peer learning.
For managers and facilitators, emotional intelligence is just as critical. A technically correct learning program can still fail if people feel embarrassed, excluded or unsafe. Adult learners are more likely to engage when they understand the purpose of learning, can connect it to their work and feel respected in the process.
Reskilling, therefore, is not just a curriculum issue. It is a human experience.
One of the most important questions in reskilling is not “What skills do we need?” but “Who gets access to them?”
Reskilling initiatives can unintentionally advantage people who are already confident, digitally fluent, well-connected or supported by their manager. They can unintentionally exclude people who are casual, remote, culturally diverse, neurodivergent, older, newer to the workforce or less confident with technology.
Inclusive reskilling requires more than offering the same workshop to everyone. It means designing learning that considers language, confidence, technology access, prior experience, psychological safety and different learning preferences.
Practical inclusive design might include:
Inclusion is not an optional value-add. It determines whether reskilling reaches the people who need it most.
A practical model: the HUMAN reskilling approach
L&D professionals can use a simple HUMAN model when designing reskilling initiatives.
H — Human context
Start with the learner’s lived experience. What is changing in their work? What are they worried about? What confidence barriers exist? What support do they need before they can learn effectively?
U — Upskill for adaptability
Teach the immediate skill, but also build learning agility. Help people practise problem-solving, reflection, feedback and transfer of learning across situations.
M — Mindset and confidence
Reskilling often challenges identity. People may wonder whether their experience still matters. Build confidence by recognising existing strengths and showing how new skills extend, rather than erase, professional value.
A — AI and digital capability
Build practical AI and technology skills, but always connect them to judgement, ethics, privacy, quality review and human accountability.
N — Networks of support
Learning should not end when the workshop closes. Use coaching, peer learning, manager conversations, communities of practice and follow-up activities to help people apply new skills in real work.
This model keeps reskilling practical while ensuring the human dimension is not lost.
The organisations that thrive will be those who reskill most thoughtfully. This means recognising that capability is not only technical. It is emotional, social, ethical and adaptive. It means designing learning that prepares people not only for new tools, but for uncertainty. It means helping employees build confidence, not just competence.
For learning and development professionals, this is a significant opportunity. Reskilling is no longer a support function sitting behind business change. It is one of the ways organisations shape their future.
World Economic Forum, The Future of Jobs Report 2025, https://www.weforum.org/publications/the-future-of-jobs-report-2025/digest/
McKinsey & Company, Superagency in the Workplace: Empowering People to Unlock AI’s Full Potential at Work, https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work
OECD, OECD Skills Outlook 2025, https://www.oecd.org/en/publications/oecd-skills-outlook-2025_26163cd3-en.html
OECD, Bridging the AI Skills Gap, https://www.oecd.org/en/publications/bridging-the-ai-skills-gap_66d0702e-en.html
Deloitte, 2025 Global Human Capital Trends Report, https://www.deloitte.com/us/en/services/consulting/articles/human-capital-and-hr-trends-thought-leadership.html
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Alec Gardner is a senior People and Culture leader, trainer, assessor and workforce capability practitioner working across leadership, learning design, human behaviour and responsible AI adoption. He is the author of the Cognitive Balance Loop, How to Train Your GPT and From Technical Expert to Trusted Leader, and the designer of a GPT Tutor that helps people learn how to use AI safely, confidently and practically. His work focuses on building human-centred capability for a changing world.