Blog posts

Knowledge

Finding qualified staff is one of the biggest challenges for many companies today. While it was often enough in the past to publish a job advertisement and wait for applications, this approach no longer works quite so easily for many positions. Skilled workers and experienced specialists in particular are often already in employment and are not actively looking for a new job.

Knowledge

After looking at the possibilities and also the limits of artificial intelligence in recruiting in the first two parts, I keep coming back to one question: What actually makes a good recruiter?

Knowledge

In the first part, I wrote about the opportunities artificial intelligence offers in recruitment and why I generally see AI as support rather than a threat. However, the more I look into the subject, the more interesting I find a different question: How much automation actually makes sense?

Knowledge

Artificial intelligence is now virtually indispensable in our everyday lives. We use it, sometimes quite naturally, to write texts, summarise information, develop ideas or help us with various tasks. A great deal has also changed in the working world in recent years. And, of course, this development does not stop at recruitment.

Knowledge

In the Swiss labour market, traditional entry-level jobs are disappearing while generative AI is taking over more and more tasks in office and knowledge-based professions. The Tages-Anzeiger reports a creeping loss of knowledge and describes how companies are already taking countermeasures to secure young talent and critical judgment within the organisation (Hollenstein, 2024). At the same time, a Swiss labour market analysis by Jobcloud shows that junior positions in AI-exposed roles have fallen significantly, further intensifying the debate around deskilling (Jobcloud AG, 2026; Reuters, 2026). For HR managers and SME executive boards, this raises a strategic question: how can AI be used productively without undermining the development of competencies within the company?

Knowledge

A researcher has measured what many suspect: AI systems now process information over a thousand times more efficiently than humans – and the gap is growing rapidly. Worse still: we are helping them do it.