The Changing Role of HR in the AI Era
Artificial intelligence is changing how organisations operate, recruit employees and manage talent. As automation reshapes traditional job responsibilities, human resources departments face increasing pressure to understand the capabilities already available within their workforce.
However, many organisations still rely on traditional job descriptions, qualifications and employee records to evaluate talent. These methods may overlook valuable skills employees have developed through professional experience, internal projects and continuous learning.
Consequently, better skills visibility in the AI era is becoming an important part of workforce planning. HR teams need accurate information about employee capabilities, emerging skill requirements and existing knowledge gaps to make informed decisions about recruitment and development.
Recent research from the World Economic Forum, LinkedIn and Mercer highlights why organisations are increasingly moving towards skills based talent management.
AI Is Accelerating Changes in Workplace Skills
The World Economic Forum’s Future of Jobs Report 2025 highlights the scale of workforce transformation expected over the next five years.
According to the report, employers expect 39% of workers’ existing core skills to change or become outdated by 2030. Furthermore, 63% of employers identify skills gaps as a major barrier to business transformation.
The report also identifies AI, big data and cybersecurity as some of the fastest growing areas of skill demand. Meanwhile, analytical thinking, resilience, flexibility and leadership remain important capabilities.
These developments indicate that organisations cannot depend entirely on existing job descriptions to understand workforce readiness.
HR departments must regularly assess which skills employees possess, which capabilities require improvement and where new expertise may be needed.
Research Highlights the Growing Skills Visibility Gap
Mercer’s 2025 and 2026 Skills Snapshot Survey provides further evidence of the growing importance of skills data.
Based on research involving 1,077 HR leaders across 72 countries, the survey found that 91% of companies see AI transforming their workforce and are planning how to respond.
However, organisations are making gradual progress in building structured skills management systems.
Key findings include
- 38% of organisations maintain a single enterprise wide skills library, compared with 30% in 2023.
- 55% map skills directly to jobs, up from 47% in 2023.
- The average proportion of jobs with mapped skills has increased to 72%, compared with 69% in 2023.
These findings suggest that organisations are recognising the importance of identifying and organising workforce capabilities. However, significant opportunities remain to improve how HR departments collect, maintain and use skills information.
Why Traditional HR Systems May No Longer Be Enough
Traditional HR systems generally organise employees around departments, job titles, qualifications and reporting structures. Although these records remain important, they do not always provide a complete picture of workforce capabilities.
For example, an employee working in marketing may also have experience in data analytics, automation or project management. Without a reliable skills inventory, HR teams may overlook these capabilities when assigning projects or considering internal promotions.
Moreover, traditional recruitment practices can lead organisations to search externally for expertise that already exists within their workforce.
Better skills visibility helps address this challenge by connecting employee capabilities with business requirements. It can also support internal mobility, succession planning and more targeted training programmes.
AI Can Help HR Identify and Develop Employee Skills
AI powered HR platforms are creating new opportunities to understand workforce capabilities.
These systems can analyse employee profiles, professional experience, training records and project histories to identify potential skills. They can also help HR professionals recognise emerging skill gaps and recommend relevant learning opportunities.
However, AI generated skills assessments should not be treated as automatically accurate. Organisations need employee input, regular validation and transparent assessment processes to maintain reliable records.
LinkedIn’s Workplace Learning Report 2025 found that 49% of learning and talent development professionals reported concerns among executives about employees having the right skills to execute business strategies.
The report also found that organisations with mature career development programmes were 42% more likely to be frontrunners in generative AI adoption compared with organisations with less developed programmes.
LinkedIn Learning Chief Learning Officer Vidya Krishnan highlighted the importance of continuous development, stating, “The companies that outlearn other companies will outperform them.”
This reinforces the connection between employee development, organisational adaptability and technology adoption.
What Better Skills Visibility Means for Businesses
Improved workforce intelligence can influence several important business decisions.
Recruitment and talent acquisition
HR teams can identify existing capabilities before opening external recruitment processes. This can improve hiring decisions and reduce unnecessary recruitment costs.
Employee development
Organisations can design training programmes around actual skills gaps rather than relying on generic learning initiatives.
Internal mobility
Managers can identify employees who have the capabilities to take on new responsibilities, projects or leadership opportunities.
Workforce planning
Businesses can anticipate future skill requirements and prepare employees for changing responsibilities as AI adoption increases.
Employee retention
Clearer career development opportunities can encourage employees to build new capabilities and pursue long term growth within their organisations.
What Businesses Should Know
Organisations looking to improve workforce readiness should consider several practical steps.
- Build a central skills inventory covering technical, professional and interpersonal capabilities.
- Regularly update employee profiles through assessments, training records and project experience.
- Use AI responsibly to identify emerging skills and potential workforce gaps.
- Connect learning programmes with changing business requirements.
- Encourage managers to recognise employee capabilities beyond formal job titles.
- Protect employee information through appropriate data governance and access controls.
Importantly, skills visibility should become an ongoing process rather than a one time HR technology project. Employee capabilities and business requirements will continue to evolve as AI adoption expands.
Conclusion
AI is changing the relationship between employees, technology and business performance. Organisations that understand their existing workforce capabilities will be better positioned to respond to changing skill requirements, improve employee development and make informed talent decisions.
For HR leaders, better skills visibility is no longer simply an administrative improvement. It is becoming an important foundation for building adaptable and future ready organisations.
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