Digital transformation and skills shortages will continue to dominate the year ahead, with automation, technology, and AI now the leading drivers of change for organisations for the third year in a row. HR has a key role in ensuring that AI is adopted ethically and responsibly, particularly under emerging regulations, such as the European Union Artificial Intelligence Act, where many HR-related applications are likely to be classified as high-risk.
Organisations have moved from seeing AI as a secondary concern in 2025 to their dominant driver of organisational change in 2026, while HR has also shifted upwards in its ranking of AI as a priority, though less sharply. However, HR capability is not keeping pace. Full adoption within HR is minimal (7% in data analysis; 6% in engagement platforms) and the strongest partial adoption is in increasing efficiency (55%), use in data analysis (48%) and automated HR processes (44%) and talent acquisition (43%). Areas like wellbeing (77%) and making predictions (72%) remain largely unsupported by AI. Notably, 67% of HR professionals identified AI for HR as their top professional development priority.
Many organisations are still at an early stage of adoption. Gaps in skills, leadership readiness and governance continue to constrain progress, with only 44% providing clear guidance on AI use, 33% offering training, and just 19% reporting leaders are equipped to lead in an AI-enabled environment.
Recommendations
- Build a clear, holistic business case to demonstrate how AI can support the organisation. Ensure that the business case incorporates employee feedback and goes beyond efficiency to support a sustainable workforce and business strategy.
- Create a staged AI readiness roadmap for HR. Start with efficiency and data analysis use cases, then scale into more sensitive areas only when governance, data and capability are in place.
- Use strategic workforce planning and organisation design to assess roles impacted by automation and put in place job redesign, redeployment, and reskilling plans to support higher-value work.
- Use the target operating model and data foundations to standardise workforce data and ensure that HR can produce high-quality, trusted insights for decision-making, compliance, and AI-enabled processes.
- Future capability should prioritise AI literacy across all employees, with targeted role-based training for HR, managers and leaders to close the gap between strategic importance and implementation.
- Put in place clear AI policy and governance, aligned with EU legislation and covering responsible use, data protection, bias and high-risk HR processes.