I often reflect on how much the world has changed since I started working as a head-hunter more than 25 years ago. One thing, however, has never changed: when someone is looking for a new role, it is not just a process it is a very personal, emotionally charged period. I meet candidates who are excited, others who are tired, disappointed, or even rethinking their entire career, and they all ask the same question: What should I do now, in this new world shaped by AI?
I penned some thoughts below for those who are seeking direction amid this uncertainty and who want to position themselves consciously and intelligently in the future labour market.
For job-seekers, one of the most important realisations may be that industry boundaries are blurring much faster than role categories are crystallising. In my view, instead of focusing solely on traditional career paths, it is worth seeking roles that connect different domains & positions that combine human judgement with AI capabilities, or that serve as a bridge between technical systems and business needs.
If you are looking for a new role, considering a career change, or want to grow in your current or a new workplace, I suggest:
Don’t simply list what you have done so far; emphasise how you learn, how you solve problems, and how you work with new systems. Employers increasingly value people who can navigate uncertainty and integrate new tools into existing workflows. In fact, how you handled the last major change at your workplace may matter far more than your proficiency with any one piece of software.
Every organisation introducing AI faces the same challenge: how to make sophisticated technology work within a messy, human system. Look for positions and responsibilities related to management, training, or process optimisation within AI-adopting companies, and even in those where AI is not yet an integral part of operations. These roles often do not require deep technical knowledge, but they do require people who understand how organisations function when theory meets practice.
While tech hubs get most of the spotlight, every sector needs people who can bridge the gap between AI capabilities and local implementation. For example, healthcare needs professionals who understand both patient care and data analytics, and manufacturing plants need operators who can work alongside automated systems. Often, the combination of your existing industry knowledge and basic AI literacy creates far more opportunities than starting from scratch in an entirely new field.
At Friisberg, beyond ensuring client satisfaction, we place huge importance on the candidate experience throughout the search process. Every one of our consultants pays close attention to the Candidate Journey.
One aspect that has always mattered deeply to me at Friisberg is the experience we create for candidates. Behind every search is a person making an important life decision, and our team never loses sight of that. I’m grateful for consultants who treat every Candidate Journey with thoughtfulness and care.
