Author: Ivana Svržić
We are fully aware that AI technology penetrates different businesses rapidly, and talent management cannot remain unaffected. So, how can the role of a traditionally understood, exclusively human approach be reconciled with advancements in technology? Let’s dive into each’s unbeatable superiority!
AI in Talent Management and the Importance of the Human Touch
While technology does bring speed and accuracy that humans can not, it is evident that technology, at least for now, cannot replace human skills and talent. This is especially true regarding empathy and understanding – something that is natural for humans and impossible for AI. The only path forward is to learn how to balance these two areas and rely on each other’s strengths.
Why is the human approach so crucial in talent management? All research shows that today’s employees value face-to-face contact and the warmth of human conversation. This hasn’t changed for decades and it shows no signs that it will.
Employees seek a work environment that understands their needs and supports their development, especially in the post-pandemic world where flexibility and mental health are priorities. It is important to mention that the COVID pandemic brought a huge, almost overnight shift, in behavior, strategic decision-making, and the balance between work and life. Both employees and employees have implemented significant changes in the way they operate. From introducing WFH as the norm, to long-term initiatives that support wellbeing, the world of work has not gone back to its old ways.
Where is the line between what AI can do and what human has to do? For example, while AI can handle recruitment and training, only a human mentor or manager can inspire and support employees in a meaningful, human-centered way. The way a person can lead, train, and connect with another person is impossible for machines and current technology. But, the amount of data that AI can process is severely superior to what humans can. So, you can use AI to tell you where to hire, how to hire, or even whom to hire, but in the end, the offer goes from one human to another.
The Benefits of Technology in Talent Management
The first area where technology excels is recruitment. AI and data analytics enable the identification of talented candidates with a level of precision and speed previously unimaginable. A 2020 Deloitte study showed that candidate selection time can be reduced by up to 50% when pattern recognition tools and data analysis are applied, freeing up HR teams to focus on higher-priority tasks like interviews and assessing cultural fit.
Efficiency in Recruitment
- With AI, recruiters can analyze hundreds of resumes in just a few minutes, identifying candidates that meet the required criteria. According to a 2021 LinkedIn study, companies using AI for candidate search increased recruitment speed by 67%, while also achieving higher levels of employee engagement due to more accurate candidate selection.
Data-Driven Decision Making
- Data analytics provide comprehensive insights into employee behavior, performance, and engagement, enabling more informed decision-making. For instance, a 2019 Gallup study shows that teams using employee engagement analytics achieve 21% higher profitability. AI can even predict which employees are at risk of leaving the company, allowing HR teams to take proactive measures to prevent it.
Individual Development Plans
- AI training programs offer personalized development plans tailored to employees’ specific interests. A 2020 McKinsey study found that companies using customized training programs saw a 35% increase in productivity, with employees reporting higher satisfaction due to personalized professional development opportunities.
Enhanced Employee Experience
- AI automation tools simplify administrative processes, allowing employees to focus on core tasks. A 2022 SAP SuccessFactors study revealed that automation reduces the administrative burden on HR teams by up to 40%, contributing to faster and more streamlined hiring and administrative processes.
What Are the Limitations of Technology, and Why Is There a Great Need for the Human Touch?
It goes beyond saying that the implementation of the newest technology enables more efficient management of human resources. However, we have to bear in mind that there are areas where the human factor remains unsurpassed. These areas include, but are not limited to:
Loss of Personal Connection in Recruitment
- A 2021 PwC study found that 72% of candidates prefer human interaction during the recruitment process, considering it essential for building trust and understanding cultural fit. While AI can identify technical skills, human recruiters are still the best at assessing aspects like motivation, values, and alignment with company culture.
Employee Engagement and Retention
- A 2020 Korn Ferry study shows that employee engagement is 32% higher when there is direct communication with managers, compared to automated or digital forms of communication. Managers who hold personal conversations with employees about their concerns create stronger connections, leading to higher satisfaction and lower turnover.
Bias in Algorithms
- AI can amplify biases present in historical data, as shown in a 2018 MIT study, which found that recruitment algorithms could be biased against certain demographics. Human involvement is crucial to ensure fairness, making the human factor essential for the appropriate and effective use of AI technologies in HR.
Impact on Morale and Culture
- Technology can make processes more efficient, but a 2020 Society for Human Resource Management (SHRM) study found that 64% of employees feel less motivated and have a reduced sense of belonging in overly digital environments. Organizational culture, based on interpersonal relationships and the exchange of experiences, is hard to achieve without human presence.
Combining Technology and the Human Approach
Rather than viewing technology and the human approach as opposing forces, many companies use both aspects for a more efficient approach to talent management. A 2021 Boston Consulting Group study found that companies combining AI with human oversight achieve 27% better results in employee engagement and retention.
Hybrid Recruitment Processes
- Using AI for resume screening allows HR teams to let AI handle the initial phase, while they focus on the final stages of recruitment. Human recruiters then lead interviews, assessing qualities and overall candidate fit, creating a balance between efficiency (AI) and the human touch.
Individual Development Programs
- AI-based training programs provide customized training, while mentors provide feedback and support.
Proactive Employee Engagement
- According to a 2022 Bersin study, companies that combine analytics with employee conversations achieve up to 19% higher employee satisfaction due to their individualized approach to engagement.
