Czy AI zastąpi zawód: urzędnik ds. wsparcia projektu?

Urzędnik ds. wsparcia projektu faces moderate AI disruption risk with a score of 49/100. While AI will automate routine administrative tasks—repository maintenance, cost-benefit analysis, and financial reporting—the role's human-centric functions, particularly stakeholder relationship management and employee onboarding, remain largely protected. This occupation will transform rather than disappear, requiring workers to develop AI-complementary capabilities.

Czym zajmuje się urzędnik ds. wsparcia projektu?

Urzędnik ds. wsparcia projektu provides essential administrative and operational support to project management offices and project teams. Responsibilities include managing project documentation, offering administrative assistance and training to project managers, coordinating team availability information, preparing financial and cost-benefit reports, maintaining central project repositories, and ensuring compliance with quality standards. These professionals serve as the organizational backbone of project delivery, handling both strategic documentation and day-to-day coordination tasks.

Jak AI wpływa na ten zawód?

The 49/100 disruption score reflects a balanced vulnerability profile. Routine documentation and financial work—creating cost-benefit analyses (60.45 skill vulnerability) and managing repositories—face immediate automation pressure. However, the role's interpersonal and strategic dimensions provide substantial protection. Skills like liaising with managers (resilient), stakeholder relationship management (resilient), and introducing new employees show low automation potential. The high AI complementarity score (68.55/100) indicates significant upside: AI will enhance PESTEL analysis, ERP system management, and project documentation drafting when combined with human judgment. Near-term (2-3 years), expect automation of data entry and basic report generation. Long-term, successful practitioners will evolve toward strategic advisory roles, leveraging AI tools to analyze project risk and support decision-making rather than executing routine administrative processes.

Najważniejsze wnioski

• AI will automate 60% of routine administrative tasks like repository management and financial reporting, but human oversight remains essential.
• Stakeholder communication and employee relationship skills are highly resistant to automation, creating career stability in these functions.
• Workers who master AI-complementary tools for ERP systems and project analytics will move into higher-value advisory roles.
• The role is transforming, not disappearing—success depends on upskilling in data interpretation and strategic project support rather than administrative execution.

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.