Skills England launches common employability framework

Skills England has launched a national Employability Skills Framework designed to give employers, education providers and young people a more consistent way to describe the transferable capabilities needed at work.

The framework builds on the Standard Skills Classification and maps existing skills systems into a practical resource that can be used in recruitment, careers support, education and training. Digital and artificial intelligence capabilities run through the framework rather than sitting in a separate technical category.

Skills England developed the approach after identifying a disconnect between the way young people recognise their own capabilities and the language employers use when recruiting. Experience gained through education, volunteering, caring responsibilities, hobbies, sport and community activity may demonstrate employability skills even where a candidate has little formal work experience.

Employers face the same problem from the opposite direction. Candidates can struggle to explain how those experiences translate into workplace capability, while recruitment processes can favour previous employment or qualifications when a person may have the underlying skills to perform a role successfully.

The framework is intended to support recruitment for potential by making desired skills more explicit in job descriptions and helping employers assess whether candidates can perform the work rather than relying solely on conventional experience requirements.

Young people can use the same structure when preparing CVs, applications and interviews, exploring different careers or assessing their own development. Skills England has included examples intended to connect everyday activities with workplace behaviours so that candidates have clearer evidence to draw on.

Artificial intelligence is integrated throughout that model. The framework does not equate AI competence with simply using a generative tool: it repeatedly emphasises checking outputs, understanding limitations, retaining control over accuracy and applying human judgement.

Under planning and organising, for example, an entry-level employee may use AI to help prioritise tasks while checking whether the output is sensible. Digital literacy covers understanding what AI tools can and cannot do, while leadership includes taking responsibility for AI-supported decisions and using technology safely and ethically.

The same principle extends into problem solving, written communication and information gathering. Employees are expected to evaluate AI-generated material, check reliability and improve outputs themselves rather than treating automated results as authoritative.

That definition gives employers a potentially useful baseline as AI becomes embedded in ordinary office and operational work. Businesses increasingly need employees who can work productively with automated tools without surrendering accountability for the quality of the result.

The framework arrives as entry-level recruitment is becoming more difficult on both sides of the labour market. Employers have reported unsuitable applications and growing interest in developing talent internally, while younger candidates are entering a market in which automation is changing the content and availability of some junior roles.

A common vocabulary cannot address vacancy levels, employment costs or the amount businesses invest in training. Its practical value instead rests on whether employers and training organisations adopt it widely enough for the same definitions to appear across recruitment, education and workplace development.

Skills England has tried to improve that prospect by aligning the framework with existing systems including the Skills Builder Universal Framework, the Essential Digital Skills Framework, Foundation Apprenticeship employability skills and other qualifications and skills standards.

Rather than asking employers to discard existing methods, the framework provides a translation layer between them. If it gains broad adoption, candidates with limited employment history could have a clearer way to demonstrate what they can do, while employers could place more weight on capability and potential when deciding who gets an opportunity.