As artificial intelligence advances, some jobs may fade away, while new ones will appear across industries. This perspective comes from RuNews24 and is echoed by Alexey Ermakov, an IT specialist at the analytical center of Synergy University. He notes that the evolution of work tracks the changing needs of society. When horses were replaced by engines, many roles tied to horse care, vehicle maintenance, and carriage production vanished or became exceedingly rare. In the new landscape, certain professions will disappear, yet others will arise to take their place.
Ermakov points to current shifts where neural networks are driving the creation of jobs. He stresses that this trend holds strong potential for Russia and is already visible in other regions. For instance, in China there are judicial references to AI assistance, and in Singapore a neural network is used to review smaller legal cases. These examples illustrate how AI augments decision-making and supports professionals in varied sectors, from law to administration to analytics.
Recent collaborations among European research teams highlight the evolving capabilities and limits of AI. Spanish scholars from the University of Rovira i Virgili and the University of Barcelona reported that today’s large language models still struggle with grammatical accuracy compared with human performance. This finding underscores the idea that human expertise remains essential for quality control, nuanced interpretation, and context-sensitive judgment. In the broader scope, researchers have also investigated whether AI exhibits biases, including gender stereotypes, inviting ongoing scrutiny and responsibility in AI deployment across industries.
For workers, the message is clear: adaptability matters. Continuous learning, cross-disciplinary skills, and comfort with data-driven processes will help individuals stay relevant as automation and AI tools pervade workplaces from North America to Europe. Businesses, in turn, are increasingly investing in training, redesigning roles, and creating pathways that combine technical capabilities with human strengths such as creativity, empathy, and strategic thinking. The convergence of human insight and machine support can lead to more efficient operations, better decision-making, and new career avenues that align with evolving market demands.
In this transition, it becomes important to focus on practical outcomes. People benefit from upskilling in areas like data literacy, AI ethics, and collaborative work with intelligent systems. Organizations benefit from clear role definitions, ethical standards, and transparent processes that integrate AI into daily workflows without replacing the human touch. As the technology landscape expands, the job market adapts to reflect these changes, creating opportunities for individuals who embrace change and pursue continuous improvement. The future of work is not a race against machines but a partnership where both human and artificial intelligence contribute to progress. [citation: RuNews24 report] [citation: European research teams] [citation: global AI developments]