AI and the Future of Global HRM

  Artificial intelligence is often promoted as a way to standardise HR processes across global organisations. In theory, this can help multinational firms manage recruitment, performance, learning and workforce analytics more efficiently across borders. However, global HRM is never only about efficiency. It also involves culture, language, local institutions and different expectations about fairness, authority and communication. Recent HRM research shows that algorithmic technologies are reshaping HR systems, but also warns that their outcomes depend heavily on organisational context and implementation choices rather than technology alone (Kim, Schuler and Jackson, 2025; Úbeda-García et al., 2025).  One major cross-cultural challenge is that AI systems are often built around standardised assumptions about communication and behaviour. What counts as a “strong” interview response, leadership potential or employee engagement may differ across cultures. In a global workforce, this...

  Artificial intelligence is beginning to reshape employee performance management by changing how organisations set goals, monitor progress, deliver feedback and assess outcomes. Instead of relying only on periodic annual appraisals, AI-enabled systems can process real-time data, identify patterns in performance and support more continuous evaluation. Recent HRM research shows that algorithmic technologies are now influencing core people-management functions, including performance review processes, and are pushing organisations to rethink how performance is measured and managed in the digital era (Kim, Schuler and Jackson, 2025; Gong et al., 2024). One clear advantage of AI in performance management is consistency. AI tools can help managers organise large amounts of information, track objectives more systematically and generate quicker feedback. In theory, this can reduce subjectivity and improve the quality of decision-making. However, recent work on algorithmic HRM also shows ...

  The future HR manager is increasingly expected to do both: act as a strategic partner while also governing the responsible use of technology. Recent academic work shows that algorithmic technologies are reshaping HR delivery, work design and the management of employees, which means HR leaders now need stronger capabilities in data, ethics and digital governance alongside traditional people-management skills (Kim, Schuler and Jackson, 2025; Bastida et al., 2025). Rather than simply administering HR processes, the HR function is moving toward a more strategic role in which technology supports decisions but should not replace professional judgement. One reason this shift matters is that AI can automate routine work and free HR professionals to focus more on workforce strategy, organisational culture and capability building. Research on the impact of AI for HR professionals highlights its transformative effects on white-collar work and on HR specifically, while recent work on generat...

  Artificial intelligence is increasingly being used in HRM to improve the employee experience through chatbots, personalised communication, learning recommendations and predictive people analytics. Because employee engagement is closely linked to motivation, wellbeing and retention, AI is now being positioned as a tool that can help organisations create more responsive and tailored work environments. Recent studies suggest that AI-enabled HR practices can strengthen employee engagement when they emphasise support, transparency and personalisation rather than simple automation. One reason AI may improve engagement is that it allows HR to respond more quickly and individually to employee needs. Research on AI-assisted HRM and generative AI in HRM shows that these technologies can improve decision-making, personalise HR services and support more adaptive employee interactions when they are strategically integrated into people management systems. This can make employees feel better ...

Artificial intelligence is not only automating tasks; it is also changing how jobs are structured, how decisions are made and how employees experience work. Recent research shows that AI is reshaping organisational design, decision processes and job content, meaning that HRM can no longer treat technology as separate from work design itself (Úbeda-García et al., 2025; Bastida et al., 2025). In practice, this means that the future of work is less about simple job replacement and more about job redesign, where human roles are reorganised around new forms of human–AI interaction. One important implication is that AI can remove repetitive and routine tasks, allowing employees to focus more on judgement, creativity and relationship-based work. This has the potential to improve productivity and make jobs more meaningful, especially where AI supports rather than controls employees. Research on workers and future of work skills argues that AI literacy and other human-centred capabilities will ...

Artificial intelligence is beginning to reshape employee learning and development by making workplace training more personalised, data-driven and responsive to changing skill needs. Recent reviews show that AI is increasingly used to identify employee strengths and weaknesses, generate tailored learning paths, provide immediate feedback and detect future workforce skill requirements, which makes it highly relevant to modern HRM and talent development strategies (Tusquellas, Palau and Santiago, 2024; Úbeda-García et al., 2025). In a global context, this matters because organisations now need faster, more adaptive ways to reskill employees as technology, competition and job requirements change across countries and sectors. One of the strongest arguments in favour of AI in learning and development is its ability to move training away from a “one-size-fits-all” model. The literature suggests that AI can support adaptive learning by matching content to individual needs, recommending develop...