AI literacy tops UK employers' in-demand skills list

MyPerfectCV has published research showing AI literacy is now the most in-demand skill among UK employers. It tops a list of 10 human skills employers want from workers in 2026.

The findings suggest businesses are placing greater weight on practical workplace judgement, digital know-how and behavioural traits than on formal academic credentials. Employers increasingly see AI literacy not as a specialist technical discipline, but as the ability to use tools effectively and assess their output critically.

Changing priorities

The research argues that recruitment priorities are shifting as AI and automation spread across workplaces. Rather than focusing first on degrees or technical backgrounds, employers are seeking candidates who can combine communication, confidence and adaptability with a working understanding of digital tools.

In the study, AI literacy ranked ahead of digital literacy, confidence, problem-solving and critical thinking, adaptability, enthusiasm and willingness to learn, teamwork and collaboration, work ethic and reliability, interpersonal skills and emotional intelligence, and communication.

The ranking reflects a broader change in how employers define workplace readiness. The report describes AI literacy as the ability to prompt tools effectively, understand their limits and apply human judgement to the results.

The emphasis comes as many workers still lack basic digital knowledge. Citing FutureDotNow data, the report notes that 54% of UK workers do not meet the baseline digital competencies set out in the Government's Essential Digital Skills Framework.

That means more than half the workforce cannot complete all 20 digital tasks covered by the framework, including communication, handling information, basic troubleshooting and online safety. The gap presents a significant obstacle for employers trying to introduce AI tools into everyday work.

Skills gap

The report links that shortfall to a wider challenge for companies adopting new technology. Businesses may invest in AI systems, but they still need staff who can use them sensibly, question outputs and integrate them into routine tasks.

MyPerfectCV's findings indicate that employers do not simply want staff who can build or code AI systems. They also want workers who can interact with those systems in practical ways and judge the quality and relevance of the responses they receive.

The study also points to a continuing preference for personal attributes over academic attainment when hiring. It found that 68% of employers rate enthusiasm as the number one predictor of success, while only 8% prioritise the university attended or specific degree qualifications.

The pattern is particularly visible among smaller businesses. The report found that 36% of small and medium-sized enterprises identify a strong work ethic as the single most attractive characteristic in a job candidate, ahead of industry experience and qualifications.

Elsewhere, 28% of employers highlighted teamwork and collaboration as one of the top skills they seek. Candidate confidence was identified by 24% as a key strength on a CV, while 22% said personality fit plays a crucial part in hiring decisions.

Human judgement

The combined picture is of a labour market that still prizes human judgement even as automated tools become more common. Employers appear to reward candidates who can work alongside AI without depending on it entirely.

That may also help explain why communication and interpersonal skills remain among the most sought-after attributes. In hybrid and digital working environments, businesses still need employees who can explain ideas clearly, collaborate with colleagues and respond to change.

Adaptability and willingness to learn also featured prominently in the research. As workplaces adopt new software and digital processes, employers are placing value on workers who can adjust quickly and keep building new skills over time.

The report suggests this combination of technical familiarity and personal judgement is becoming central to employability. In that sense, AI literacy is being treated less as a narrow technology skill and more as part of a wider human skill set.

For recruiters, that may reshape how candidates are assessed and how job descriptions are written. For workers, it points to a need to strengthen basic digital competence first, then develop the confidence to use AI tools with care and scepticism.

The study defines AI literacy as "the human capacity to prompt tools effectively and critically evaluate their output".