5 ways AI is changing the way businesses recruit, hire, and train their workforce

Date:
Fri, 07 Aug 2026 10:00:38 +0000

Description:
AI is transforming recruitment, making proven skills more valuable than traditional hiring signals.

FULL STORY ======================================================================Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter Recruitment has long relied on signals that serve as proxies for candidate skillsets: degrees, previous job titles, years of experience, and employer names. Those indicators dont always show whether someone actually has the skills needed for the role theyre applying for. As AI reshapes work, businesses need clearer evidence of what people can do. Anthony Salcito Social Links Navigation

Senior Vice-President for Enterprise at Coursera. This imperative has led to
a drastic shift in hiring norms In the UK, 99 per cent of employers are using skills-based hiring in some capacity, according to research. At the same
time, 58 per cent expect more than a third of core job skills to change by 2030. Recruiters now need to hire for current requirements while also
thinking about how roles are likely to evolve. For hiring teams, five changes stand out. Latest Videos From TechRadar Watch full video here: 1. Hiring is becoming more skills-first AI is accelerating the move away from degree-first evaluation. When tools, business needs, and ways of working change quickly, employers cant just rely on static indicators of academic achievement. They need to know whether candidates have practical, current and job-relevant skills.

Degrees still retain significant signaling value. A degree offers an
essential foundation, particularly for critical thinking, communication and domain knowledge. But employers increasingly want additional proof that a candidate can apply those strengths in workplace settings. You may like Reinventing hiring for the AI-driven labor market AI is rapidly reshaping the skills employers want most from workers How universities can better prepare graduates for the demands of the modern workplace

For recruiters, job descriptions and selection criteria need to become more skill-oriented. Instead of asking for broad experience in a field, businesses should define the specific capabilities needed for the role: data analysis,
AI literacy, cloud computing, cybersecurity awareness, project management ,
or the ability to interpret AI-generated outputs. A clearer skills profile
can also help organizations identify strong candidates who have not followed traditional pathways. 2. AI credentials are changing how experience is weighted Experience still carries weight, but AI is changing how that experience is judged. In fast-moving areas such as generative AI, data, and cloud , a candidate with recent, verified learning may be better prepared
than someone with greater experience but outdated skills. Are you a pro? Subscribe to our newsletter Sign up to the TechRadar Pro newsletter to get
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Thats why 42 per cent of UK employers say they would choose a less
experienced candidate with a GenAI credential over a more experienced candidate without one. It shows how quickly the value of verified AI capability is rising.

This has practical implications for recruiters. Years of experience shouldnt be treated as a signifier of readiness. In some roles, recent evidence of applied learning may be more useful. The challenge is to distinguish between candidates whove completed primarily theoretical training and those who can show theyre ready to apply what theyve learned. 3. Verification is becoming more important AI has made it easier for candidates to produce polished CVs, cover letters and portfolios. It has also made it harder for employers to
know which evidence to trust. What to read next AI is unlocking entry-level potential, not replacing it How to bypass AI bots and land the interview with these simple CV tweaks Seizing AI job opportunities in the United Kingdom

This is likely to increase the value of credentials that verify skills to employers. In the UK, 95 per cent of employers say micro-credentials help identify candidates with real-world, applied expertise in areas such as AI, data , and cloud. That matters because recruiters need evidence that can
stand up to scrutiny.

The most useful credentials are those that assess applied skills, rather than only content completion. Employers will increasingly look for evidence that a candidate has built something, solved a practical problem or completed a project relevant to workplace needs.

Recruitment teams should reflect this in their processes. CV screening should be supported by practical assessments, structured interviews, and work-sample tasks. This blended approach will make decisions more accurate. 4. Recruiters need to assess human judgement alongside AI skills AI literacy is becoming a common requirement, but it is insufficient to simply possess technical knowledge, particularly for those deploying AI in non-technical roles. Businesses need people who can work effectively with AI, including knowing when to question it.

As AI becomes embedded in everyday work, candidates will need to show that they can evaluate outputs, check sources, spot weak reasoning, and apply context. A candidate who accepts AI-generated content uncritically will introduce risk, irrespective of technical proficiency.

This adds novel new stages to the assessment process. Recruiters may need to ask candidates to critique an AI-generated response, improve a flawed analysis, or explain what further evidence theyd need before making a decision. These exercises can reveal whether someone has the judgement and domain expertise required to use AI tools responsibly.

For many roles, the differentiator wont be whether a candidate can prompt a system: itll be whether they can turn AI output into sound business action.
5. Skills-first hiring must complement skills-first training AI is
compressing the shelf-life of skills. If, as expected, over a third of core skills will change by 2030 for many UK employers, hiring alone will not be enough to keep pace. In fact, 74 per cent of tech leaders acknowledge they cannot depend on new hires alone to fill AI skills gaps. That means skills-first hiring needs to become part of a wider talent development framework.

The same approach that helps recruiters identify the capabilities needed for
a role can also help businesses map the skills they already have, spot gaps across the workforce, and create clearer routes for employees to build the capabilities the organization will need next.

Some capabilities will still need to be brought in from outside the organization, particularly in fast-moving areas such as AI, data and cloud. But many skills will also need to be developed internally as roles evolve.
The strongest businesses will combine skills-based hiring with ongoing upskilling, giving employees clear routes to adapt as roles change. The new recruitment advantage AI is changing what employers need to know about candidates. Businesses that can identify real capability, verify applied skills, and recognize potential beyond traditional signals will be better placed to hire well. The value of this approach is already visible in workplace outcomes. 92 per cent of employers say entry-level hires with micro-credentials perform better in their first year on the job.

For candidates, the message is just as clear. In an AI-enabled labor market, employability will depend less on what someone once learned and more on what they can prove they can do now, and the evidence theyre still learning.

For employers, recruitment needs to become part of a broader skills strategy. AI may be changing the work, but the hiring challenge remains human: finding people with the skills, judgement and adaptability to help businesses compete and innovate. We've featured the best website for hiring niche employees.
This article was produced as part of TechRadar Pro Perspectives , our channel to feature the best and brightest minds in the technology industry today.

The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/pro/perspectives-how-to-submit



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