Digitalization is revolutionizing human resources work, especially personnel selection and recruitment. The use of artificial intelligence (AI) promises efficiency, better data analysis, and greater objectivity. But how great are the opportunities really? And where do the risks lie?
Opportunities for using AI in personnel selection
AI can automate repetitive tasks, saving time and money. It enables data-driven decisions with analytical models that recognize patterns that humans overlook. Predictive analytics can provide forecasts on a candidate's suitability. Many companies report more efficient processes and better matches thanks to AI-powered tools.
Risks and challenges
However, AI also reflects the data it is trained with. As a result, it sometimes unintentionally reproduces biases, which can lead to discriminatory outcomes. Many AI models remain a black box for users, whose decisions are difficult to understand. Data protection and ethical issues are also central, as personal data is often processed on a large scale. There is also a risk of reducing the human component in recruiting too much.
Current study
According to the study "AI Meets Recruiting 2025" by Softgarden, which surveyed nearly 7,000 respondents, the use of AI by applicants has more than tripled since spring 2023 and now reaches nearly three out of four applicants. Skepticism toward AI is declining significantly, which increases acceptance of AI-supported personnel selection processes. This development shows that AI is increasingly becoming the standard in recruitment, while at the same time increasing efficiency and supporting data-based, more objective decisions. (Softgarden, 2025)
Thoughts from leading HR analytics experts
John Sumser sums it up: "AI is not a panacea; it reflects the data and values we give it." Josh Bersin adds: "The balance between human intelligence and machine learning is the key to successful HR innovations." Josh Goldstein warns against over-automation and advocates clear ethical guidelines.
Recommendations for action for HR and TA
HR professionals should critically monitor AI systems, understand the algorithms, and actively prevent bias. Hybrid models that combine humans and machines deliver the best results. Awareness campaigns and regular training help to minimize risks. Transparency toward applicants increases trust and acceptance.
outlook
AI remains a tool, not a decision-maker. Only when HR itself acts as a driver of innovation can its full potential be harnessed. This ensures that personnel selection remains human and precise at the same time.
The use of AI in recruitment is proving to be a double-edged sword. On the one hand, it speeds up and optimizes processes, makes decisions data-driven, and opens up completely new insights into candidate potential. On the other hand, there are risks such as algorithmic bias, lack of transparency, and ethical challenges. Josh Bersin, an internationally recognized HR expert, emphasizes: "The smart mix of machine learning and human intelligence makes all the difference—no system can completely replace humans today."This responsibility lies with HR professionals: they must ensure that technological innovations empower recruiting, not dehumanize it. Those who master the balance between intuition and data precision are actively shaping the future of recruitment.
