World Youth Skills Day arrives on 15 July with the employment prospects of young people increasingly dependent on digital knowledge, human judgement, commercial confidence, and practical experience.
The United Nations observance is being held under the theme “Skills for a Shared Future”, focusing attention on the capabilities young people need to participate in employment, enterprise, and society as technology alters established career routes.
The UK enters the day with a difficult labour market backdrop. Office for National Statistics estimates indicate that 1.012m people aged 16 to 24 were not in education, employment, or training during the first quarter of 2026.
That represented 13.5% of the age group, an increase of 89,000 from a year earlier and 55,000 from the previous quarter. The ONS classifies the figures as official statistics in development and advises caution when interpreting short-term changes because Labour Force Survey estimates remain volatile.
The scale still illustrates the pressure on employers, education providers, training organisations, and government to establish credible routes into work. Entry-level positions are also being altered by AI systems capable of automating administrative, research, support, and content tasks that once helped employees build early career experience.
Frank Jaquez, head of talent and culture at Skillsoft, said: “World Youth Skills Day is a reminder that preparing young people for the future of work is about more than technical skills alone. As AI becomes embedded into everyday work, young people will need digital and AI literacy alongside the human capabilities technology cannot replicate — critical thinking, communication, collaboration, creativity and, above all, judgement.
“AI can automate routine tasks and help people become productive faster, but it still requires context and human oversight. Judgement matters. Young people entering the workforce need to know not just how to use AI, but when to challenge its outputs, how to apply their own knowledge, and where their perspective adds value that a model cannot.
“At the same time, young people are building careers in a rapidly evolving and tight labour market, with one in eight 16 to 24 year olds currently not in employment, education or training. As AI accelerates change, the challenge is no longer simply learning new technical skills but continually developing both the technical capabilities and human strengths that drive performance. Employers have a real role to play here — strengthening the skills supply chain by giving young people clear pathways, honest conversations about how AI may reshape their roles, and stretch opportunities to build capability. Growth doesn’t always look like a promotion; sometimes it looks like a new project, a harder problem, or a skill that opens the next door.
“Leaders also have to model the behaviour they want to see. When senior people share how they’re actually using AI — what worked, what didn’t, where they had to apply their own judgement — it creates the psychological safety for younger employees to experiment and learn out loud. And learning has to live inside the moments that already matter: working through a difficult challenge, presenting an idea, collaborating across teams, using AI to solve a problem, or stepping into a responsibility for the first time. When it feels like part of the work rather than added to it, curiosity and continuous learning stop being buzzwords and start becoming habits. That’s how we help young people grow alongside AI — and build careers that can keep evolving with it.”
AI literacy now extends beyond entering prompts. Employees need to understand where information comes from, how errors can appear, which material should not be shared, and when an output requires independent verification.
Communication, critical thinking, and judgement retain their value when systems produce fast but unreliable answers. An employee who can question an assumption, explain uncertainty, recognise a customer’s circumstances, or identify an ethical problem contributes something that cannot be measured through speed alone.
Automation creates a particular problem for the design of entry-level work. Routine duties are often automated first because they are repetitive and easier to standardise, yet those tasks have traditionally allowed new employees to learn terminology, customers, internal systems, and informal workplace expectations before assuming greater responsibility.
Organisations will have to replace that accidental learning with deliberate development. Project rotations, supervised problem solving, mentoring, customer exposure, structured feedback, and participation in cross-functional work can provide the context that routine administration once supplied.
The government has already linked AI adoption with workforce skills through measures intended to support business deployment, trade union engagement, and early career pathways. The Youth Jobs Grant also offers £3,000 for eligible hires aged 18 to 24 who have spent six months seeking work while receiving Universal Credit.
Financial incentives may create vacancies, but they do not guarantee worthwhile development. A poorly designed placement can leave a young employee performing low-value work without the supervision or progression needed to build lasting capability.
Entrepreneurship provides another route. Keith Griffiths, founder and chief executive of The Entrepreneur Festival, said: “Under this year’s theme, ‘Skills for a shared future’, we need to broaden the conversation beyond preparing young people for traditional employment. We should also be equipping them with entrepreneurial skills such as resilience, creativity, problem-solving and commercial confidence. These are the capabilities that create businesses, generate jobs and drive economic growth.
“If we’re serious about reducing the number of young people not in employment, education or training, we need to celebrate entrepreneurship as much as traditional employment.
“Government has an important role to play, but experienced founders do too. We need more entrepreneurs sharing their knowledge, mentoring the next generation and showing that building a business – whether it’s from a market stall or a tech start-up – is a legitimate and exciting route to a successful career, which also returns value to UK PLC.”
Commercial knowledge is valuable even where a young person does not establish a company. Understanding demand, cost, cashflow, negotiation, customers, and risk improves decision-making inside an established organisation as well as within a start-up.
Such capabilities are difficult to develop through classroom instruction alone. Work placements, enterprise projects, supported freelance activity, community initiatives, and market trading expose young people to decisions where resources and outcomes are real.
Access remains uneven because family networks, transport, equipment, confidence, and financial support influence which opportunities a young person can accept. Unpaid experience can reinforce the divide by reserving development for those able to work without immediate income.
Managers also determine whether learning becomes part of everyday work. Younger employees are more likely to experiment responsibly where leaders explain how they use AI, discuss mistakes, and identify the decisions that require human approval.
Visible uncertainty can be productive when handled honestly. Presenting every AI implementation as settled discourages employees from raising errors or questioning weak outputs, whereas senior people who demonstrate judgement give others permission to do the same.
Technology will continue to change faster than formal curricula. Durable preparation therefore depends on combining technical understanding with communication, commercial awareness, critical thinking, adaptability, and supervised experience that allows young people to apply those skills under real conditions.
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