Czy AI zastąpi zawód: kierownik ds. rozwoju przedsiębiorstwa w dziedzinie systemów informacyjno-telekomunikacyjnych?

Kierownik ds. rozwoju przedsiębiorstwa w dziedzinie systemów informacyjno-telekomunikacyjnych faces a high AI disruption risk with a score of 72/100, but replacement is unlikely. The role's strategic dimension—building business relationships, innovating in ICT, and developing insourcing strategies—remains distinctly human. However, routine tasks like information extraction and customer feedback collection will increasingly be AI-automated, requiring role evolution toward strategic oversight.

Czym zajmuje się kierownik ds. rozwoju przedsiębiorstwa w dziedzinie systemów informacyjno-telekomunikacyjnych?

Kierownicy ds. rozwoju przedsiębiorstwa w dziedzinie systemów informacyjno-telekomunikacyjnych are strategic business leaders who enhance organizational capabilities through ICT-focused development. They design and implement strategies supporting efficient operations, product innovation, and distribution channels. Key responsibilities include price negotiation, contract terms establishment, stakeholder communication, and technology-driven business transformation. These professionals bridge technical ICT knowledge with commercial acumen, driving competitive advantage in the telecommunications and information systems sector.

Jak AI wpływa na ten zawód?

The 72/100 disruption score reflects a paradox: while AI Complementarity reaches 72.37/100—indicating strong augmentation potential—routine execution tasks face significant automation. Information extraction (53.06 vulnerability), customer feedback collection, and sales argumentation are prime candidates for AI tooling, reducing manual workload. Conversely, the role's resilient core—building business relationships (high resilience), live presentations, and ICT innovation—requires human judgment, contextual negotiation, and creative strategy. Near-term, AI will handle data synthesis and preliminary analysis; professionals must pivot toward strategic synthesis and relationship stewardship. Long-term, success depends on leveraging AI for business intelligence and decision support while maintaining irreplaceable human elements in stakeholder management and innovation leadership. The Skill Vulnerability score of 54.06/100 indicates moderate risk concentrated in information-heavy tasks, not strategic ones.

Najważniejsze wnioski

• AI will automate routine information extraction and data collection, but cannot replace strategic business relationship building and ICT innovation—the role's core value.
• High AI Complementarity (72.37/100) means this profession will likely evolve toward AI-assisted analysis and decision-making rather than disappear.
• Professionals must transition from manual data processing to strategic synthesis, leveraging AI tools for business intelligence while focusing on negotiation, presentation, and long-term ICT strategy.
• Near-term career resilience requires upskilling in AI-tool proficiency and strategic thinking; those comfortable with AI augmentation will outperform those resisting automation.

Wynik zakłócenia AI NestorBot obliczany jest na podstawie 3-czynnikowego modelu wykorzystującego taksonomię umiejętności ESCO: podatność umiejętności na automatyzację, wskaźnik automatyzacji zadań oraz komplementarność z AI.