Artificial intelligence is advancing at an unprecedented pace and is being adopted across industries faster than many expected. Naturally, this raises an everyday question: is AI a threat to the workforce, and if so, what is its impact on jobs?
The AI impact on jobs in Europe is no longer theoretical. Organizations across the region are already reshaping how work is structured in the age of AI. Much of the growing future of work in Europe concerns the AI impact on jobs, which comes down to a simple dilemma. Will workers remain at the center of attention as artificial intelligence becomes more deeply embedded in business processes? And more importantly, who ultimately holds the advantage in key capabilities, humans or artificial intelligence?
The reality is that this challenge will not resolve itself. It requires open and continuous discussion among governments, businesses, and the workforce. The future of work scenario will depend less on technology alone and more on how thoughtfully it is governed and implemented.
Europe’s Ongoing Assessment of AI Impact on Jobs
Today, it is no longer unusual for algorithms to manage systems beyond the traditional gig economy roles visible on the streets, such as food delivery workers or taxi drivers. Increasingly, algorithmic decision making is entering sensitive organizational areas including hiring, rewarding, and workforce reductions.
Across Europe, discussions about artificial intelligence and the labour market are intensifying at both national and EU levels. Governments are actively trying to understand the structural AI impact on jobs and employment patterns. These conversations, in most cases, are focused on human-centered AI and the future of work in Europe.
Several years ago, the Croatian government conducted research examining the effects of broader automation, digitalization, and early AI adoption. According to the medium scenario from that study, approximately 140,000 jobs in Croatia could undergo significant change by 2030.
How Companies Are Using AI Today
Research conducted by the Algebra Bernays University roughly a year ago showed that the current range of AI applications in companies remains relatively narrow. Most organizations that report using AI primarily rely on generative tools for content creation.
“About 45 percent of companies stated that they use AI. However, when you look deeper, these are mostly applications for content creation and similar tasks,” says Hrvoje Josip Balen, Co-founder at Algebra Bernays University.
In most cases, AI functions as decision support rather than fully automated hiring or selection. This distinction is important when assessing the real AI impact on jobs and the pace of workforce disruption.
“Through the work we do with many employers around the world, we see that when open conversations begin in the direction of demystifying AI and its impact on the labor market, the fear gradually begins to decline,” says Bojan Hadzisejdic, CEO at Nephos.
The AI Act and the Rise of AI Governance
The AI Act represents a unique regulatory step by the European Union and a defining moment for global AI governance. At present, no other major economic bloc has implemented such a comprehensive framework governing artificial intelligence.
The Act aims to create clear guardrails while still enabling innovation. It is widely viewed as an exemplary document that other regions may eventually follow when shaping their own regulatory approaches.
At the same time, Europe continues to face familiar criticism that it tends to overregulate its markets. Recently, the German Chancellor publicly suggested that certain regulatory measures may have gone too far and could be slowing innovation and research and development.
This tension will define the next phase of European AI policy based on continuous balance while maintaining trust in human-centered AI systems.
Are People Still Afraid of AI?
Since the public breakthrough of large language models and generative AI tools, the market has moved through alternating phases of excitement and concern. Fear remains present, but its roots are increasingly well understood when considering enterprise AI adoption.
In many cases, anxiety about AI’s impact on jobs stems from a limited understanding of what artificial intelligence actually is and what it is not.
“Through the work we do with many employers around the world, we see that when open conversations begin in the direction of demystifying AI and its impact on the labor market, the fear gradually begins to decline,” states Bojan Hadzisejdic, CEO at Nephos.
There is a strong expectation that most jobs will be affected by AI in some form. But in most realistic AI workforce transformation scenarios, the worker remains at the center of attention while AI plays a supporting role.
Human Intelligence vs Artificial Intelligence
The often-discussed battle between artificial and human intelligence is, in many ways, overstated. Today’s AI systems are fundamentally based on prediction models and mathematical algorithms. They do not possess true reasoning intelligence or contextual understanding comparable to human cognition.
Two priorities are becoming increasingly clear across the market:
- Recognizing real life and business opportunities where AI can add value
- Investing in upskilling for AI and reskilling to keep pace with adoption
LinkedIn data reinforces this shift. The platform has identified AI literacy as one of the fastest growing skill clusters, with the number of professionals adding AI-related skills increasing dramatically year over year. This signals that workforce adaptation is already underway, but still uneven.
Governments and organizations that invest early in upskilling for AI will be significantly better positioned to capture productivity gains while minimizing disruption.
Why Upskilling for AI Is Now Critical
As artificial intelligence continues to reshape the labour market, the conversation is increasingly shifting from whether AI is replacing jobs to how quickly the workforce can adapt. In the emerging future of work in Europe AI landscape, upskilling is no longer optional. It is becoming a structural requirement for both organizations and individuals in workforce reskilling in Europe.
The real risk is not simply AI replacing jobs. It is the growing gap between those who understand how to work alongside AI systems and those who do not. Companies that invest early in upskilling for AI are already seeing measurable productivity gains, while those that delay risk falling behind competitively.
Ultimately, organizations that treat upskilling for AI as a continuous strategic capability rather than a one-time training initiative will be best positioned to navigate the next phase of labour market transformation.
Conclusion
Artificial intelligence represents a significant opportunity for both individuals and the broader economy to prosper. With the right AI governance and a truly human-centered AI approach, the technology can enhance productivity rather than diminish human relevance. The worker remains at the center of attention. Artificial intelligence is here to assist.