AI adoption slows hiring of young and educated workers
Danish companies adopting artificial intelligence experience slower employment growth than non-users, particularly among younger and highly educated staff. A Danmarks Nationalbank study finds aggregate employment remains resilient across the economy.
The micro-level hiring slowdown
Firms adopting artificial intelligence in Denmark exhibit slightly lower employment growth than comparable peers without AI adoption.
According to Danmarks Nationalbank Governor Signe Krogstrup, “The transformation we expected from AI has begun in Denmark.”
The hiring slowdown is concentrated among younger workers and staff with higher education levels, while wage levels at the affected firms remain unchanged.
The findings stem from a dataset linking Statistics Denmark AI adoption surveys with comprehensive administrative register data on employment and compensation.
While the slowdown is evident at the enterprise level, nationwide employment has shown no measurable aggregate impact.
Flexibility cushions macroeconomic fallout
The central bank expects aggregate Danish employment to remain insulated from AI-driven disruption over the next few years.
Krogstrup emphasized that Denmark's flexible labor market and advanced digital infrastructure facilitate reallocation, allowing displaced job seekers to secure roles elsewhere.
Although long-term job reductions remain possible, Danmarks Nationalbank noted that AI adoption could simultaneously spur the creation of new enterprises and job profiles, potentially expanding total employment.
Reallocation is no guarantee
The study confirms that AI already curbs entry-level knowledge hiring.
Relying on market flexibility to absorb displaced workers becomes harder as adoption spreads.
The empirical proof of firm-level displacement is clear, but the benign macro outlook appears complacent.
Source: Firms hire fewer people when they start using AI
IN: