Latvian National Artificial Intelligence Center head Guna Puce warned during a television broadcast that routine jobs face immediate automation. Speaking on the TV24 program Uz līnijas, Puce outlined which professions are most vulnerable while experts note that broader employment markets face massive skill transformations by 2030.
Artificial intelligence is rapidly shifting from a specialized tool into a foundational pillar of the global economy, fundamentally transforming how careers operate. While public anxiety often centers on the fear of total job eradication, recent analysis reveals a more nuanced reality where specific roles face immediate displacement while others experience growth. According to market data from global institutions, historical technological shifts have ultimately created more jobs than they destroyed, yet the modern labor market requires a pace of adaptation.
The pace of change has outstripped traditional education models, leaving universities struggling to adapt their curricula to modern demands. Tools and specialties that once seemed like narrow niches—such as prompt engineering—now play roles in software development across major technology firms worldwide. Workers can no longer rely on the traditional formula of choosing a single profession and working within it for an entire career.
Routine Tasks Face Immediate Automation in Latvia
Addressing the domestic impact of emerging technology, Latvian National Artificial Intelligence Center head Guna Puce identified the primary target for early automation during an appearance on television. Routine tasks that follow predictable patterns and easily documented descriptions are the first to fall under automated systems.
Puce explained a straightforward litmus test for job vulnerability: if a task is routine enough that an employee can easily write down instructions for a substitute to follow during a month-long vacation, that task is prime for automation. Conversely, roles requiring human contact and complexity—such as complex decisions—remain in human hands. Rather than fearing total displacement, workers who learn to wield AI tools effectively will gain a preference over those who refuse to adapt.
Global Skills Transformation and the Demand for AI Engineers
On a global scale, the World Economic Forum’s Future of Jobs Report 2025 estimates that by 2030, 39% of workers’ core skills will need to be updated. Organization data from the OECD shows that artificial intelligence has not yet triggered mass unemployment, but the internal requirements of existing roles are shifting. Certain specialized sectors are experiencing growth, with vacancies in knowledge-intensive fields where AI strengthens human decision-making expanding twice as fast as the broader job market.
Among the fastest-growing professional tracks, artificial intelligence engineers rank as one of the most sought-after careers globally for the second year in a row. These specialists design the core architecture for chatbots, autonomous vehicles, and predictive models. Financial compensation reflects this demand: base salaries for AI engineers in the United States range from $134,000 to $193,000 annually, while total compensation packages for experienced talent can exceed $240,000 when bonuses and stock options are included. In Germany, which serves as a benchmark for the European Union labor market, the average salary rests around €92,000, climbing higher in major tech hubs like Berlin and Munich.
Regulatory Caution and the Human Element in Decision-Making
Despite the economic upside, experts urge caution regarding unchecked deployment.
Puce pointed out that widespread, uncritical adoption of automated solutions can cause harm if societies fail to evaluate potential consequences. This risk profile explains why the European Union has implemented a relatively stringent regulatory framework, aligning with the mission of the Latvian AI Center to promote safe and responsible usage and mitigate technological hazards. Organizations increasingly rely on specialized roles like organizational psychologists and cybersecurity analysts—bolstered in Europe by the NIS2 directive—to navigate these digital transitions safely.
Guna Puce, head of the Latvian National Artificial Intelligence Center, noted via LA.LV that ongoing research demonstrates that if solutions are implemented unconsciously, massively, and without thoughtful consideration, they can cause harm, which makes a sensible approach necessary.
As algorithms assume heavier workloads, the central question for the future is not whether machines can make decisions, but precisely at what point a human operator must step in and declare that a critical choice requires human judgment and accountability.
