According to Ekaterina Agayeva, CEO of a major recruitment platform, the professional landscape is bifurcating. One path leads to the engineers who build and maintain our automated systems, while the other leads to roles defined by human interaction and physical logistics.

On the technical side, Agayeva identifies a sustained surge in demand for what she terms 'technological service' professionals. This isn't just about AI researchers. The mass integration of AI and automation into business processes creates a direct need for the supporting architecture: data engineers to build reliable pipelines, ML engineers to operationalize models, platform specialists to maintain these systems, and cybersecurity experts to secure them. These roles form the foundational crew for an automated enterprise.

Conversely, she argues that professions requiring high emotional intelligence or complex physical coordination will see their value increase precisely because they resist automation. Healthcare workers, psychologists, and rehabilitation specialists operate in a domain where AI lacks essential empathy. Similarly, global supply chain complexities ensure that skilled logistics and transport coordinators remain indispensable for navigating real-world volatility.

Finally, Agayeva points to an evolution in education itself. The need for rapid reskilling, driven by shifting market trends and new tools, will generate demand for corporate trainers and skill-specific instructors, moving learning away from conservative models toward continuous, just-in-time professional development.

Source: RIA Novosti