The latest research from leading global institutions confirms the significant changes that are already happening and those that are yet to come in the labour market. McKinsey estimates that generative artificial intelligence will automate between 30% and 60% of tasks in typical HR processes, while Gartner predicts that by 2027 more than 70% of organisations will use AI for personalised employee learning and development. Boston Consulting Group highlights that HR will be one of the functions most affected by transformation, as it sits at the intersection of technology and human behaviour.
Digitalisation of HR processes directly impacts employee satisfaction
In companies that have confirmed the quality of their HR processes through the Employer Partner certification, there is a clear connection between the digitalisation of HR processes and employee satisfaction. Organisations with more advanced human resource management systems report significantly higher satisfaction among internal HR users. The same applies to digitalised onboarding processes: the more modern and structured the process is, the more satisfied employees are with communication, clarity of strategy and vision, and opportunities for flexible work.
Career pages are gradually becoming interactive platforms that no longer serve only as job boards, but as personalised entry points into organisations. Virtual assistants answer candidate questions, guide them through application processes and recommend positions that match their interests. AI in recruitment is taking over a significant amount of operational work. It automates job advertisement creation, analyses channel effectiveness, screens CVs, schedules interviews and records notes. Similar developments are happening in selection processes. AI supports the assessment of technical competencies, cultural fit, soft skills and language abilities. Gamified assessments and simulations allow candidates to demonstrate their abilities in realistic situations, while AI analyses patterns and results. However, human involvement remains essential for evaluating culture fit and culture add.
In onboarding, virtual assistants answer questions from new employees, support IT setup, send reminders and guide employees through administrative steps. This reduces the workload of HR teams and mentors while providing new employees with 24/7 support. However, onboarding is also an emotional process. A sense of belonging, inclusion and genuine welcome is still created by people, which makes mentoring and buddy systems equally, and perhaps even more, important.
AI can increase learning and development efficiency by up to 50%
The greatest transformation, however, is taking place in the area of learning and development. According to Gartner, AI will become one of the key drivers of personalised learning in the coming years. AI can analyse employee goals, interests, feedback and performance results, and recommend learning opportunities that are most relevant for their development. McKinsey estimates that AI can increase the efficiency of L&D functions by up to 50%.
This progress is not only quantitative but also qualitative. AI enables learning through micro-formats, simulations, virtual scenarios and access to AI coaching available 24/7. It represents a significant transformation in learning, increasing the accessibility and flexibility of development opportunities. However, it is important to emphasise that this technological transformation does not replace mentors, trainers, coaches or managers. Human support, meaningful feedback and understanding of the broader organisational context remain irreplaceable elements of the development process.
In this context, more organisations are moving towards hybrid learning models that combine advanced AI tools with human expertise. These integrated solutions bring together different learning methods, from micro-learning formats and gamified tasks to interactive avatars, while continuously tracking competency development through work with experienced trainers and coaches. The result is faster, more targeted and measurable development of employees and leaders, while maintaining a high level of support.
AI-based learning has also been accelerated by learning and development platforms such as the SimGate platform, which we use in SELECTIO development programmes for teams and leadership development programmes. These platforms combine some of the most advanced learning tools, from micro-learning formats and avatars to practical gamified tasks. However, the quality of implementation always depends on trainers and coaches who ensure effective monitoring of competency development.
What does the future of HR look like?
Through the Employer Partner project, which has been certifying some of the most successful organisations in the region for 20 years, data has been collected showing a significant transformation in the strategic role of HR departments. HR professionals have gradually established themselves at the core of business operations, and their expertise is increasingly taken into account when making key strategic decisions. Looking ahead, the experience gathered through this project suggests that artificial intelligence will become one of the main drivers of HR transformation over the next 20 years. According to analyses by McKinsey, Gartner, BCG, Harvard Business Review, OECD and the World Economic Forum, HR will transform from an operational function into a strategic architect of organisational development. This means that AI literacy and the ability to work with data will become just as important as traditional HR skills.
HR professionals will need to understand how AI works, how to interpret its recommendations and how to use it responsibly, while also recognising its limitations. At the same time, high-value human skills such as empathy, facilitation, coaching, building trust and leading through change will become even more important, as these are precisely the capabilities that differentiate humans in a world where technology takes over routine tasks. In addition, HR will need to develop the ability to redesign jobs and processes for a “human + AI” environment, understand the ethical implications of algorithms and become a guardian of fairness, transparency and trust within organisations. Above all, HR professionals will need to develop the key meta-competence of the future: continuous learning and adaptability, as the nature of work, skills and organisational needs will continue to change faster than ever.
To maintain its position as a strategic partner to leadership teams and key stakeholders, HR must clearly define AI as a tool for improving efficiency, accelerating information flow and processing, and enhancing decision-making, rather than as a replacement for human elements such as empathy, understanding and leadership development.
This balance will be essential for maintaining employee trust and ensuring long-term organisational sustainability.
Developing new competencies will become essential
The organisations that succeed will be those that develop leadership capable of understanding technology while also recognising its limitations. Over the next decade, HR professionals will need an entirely new set of competencies to operate successfully in an environment where technology and human capabilities are more interconnected than ever before. However, HR is not the only function undergoing transformation. Organisations entering the era of artificial intelligence are experiencing some of the greatest changes in their history, and these changes are shaping both the employee experience and the role of leadership. According to McKinsey, AI is accelerating changes in business models and work processes to such an extent that traditional approaches to leadership are no longer sufficient. Leaders must create context rather than simply give instructions, because only people can define aspirations, build trust and mobilise teams during periods of uncertainty. Harvard Business Review emphasises that “people with AI will replace people without AI”, meaning that successful organisations will be those that develop leaders who understand technology but also recognise its limitations and create cultures where AI enhances human creativity rather than replacing it. Gartner further highlights that the role of leaders is expanding. Instead of focusing on controlling processes, leaders must focus on developing people, encouraging learning and creating environments where employees can safely experiment, build new skills and use AI as a tool for growth rather than as a threat to their roles.
At the same time, employees are facing rapidly changing job requirements. The World Economic Forum highlights that the greatest demand will be for skills such as critical thinking, emotional intelligence, collaboration and the ability to learn quickly — precisely those competencies that AI cannot replicate. In such an environment, learning becomes a continuous organisational responsibility, and developing future-ready competencies becomes a key condition for competitiveness. AI can accelerate learning, personalise development and provide immediate feedback, but only leadership that combines digital literacy with deep human understanding can ensure that employees remain engaged, confident and prepared for the future of work.
