Czy AI zastąpi zawód: ankieter?

Ankieterzy face a high AI disruption risk with a score of 61/100, but complete replacement is unlikely. AI will automate routine form-filling and data tabulation tasks, yet human judgment in interview techniques, rapport-building, and demographic insight remain irreplaceable. The occupation will transform rather than disappear, requiring adaptation toward analysis-focused roles.

Czym zajmuje się ankieter?

Ankieterzy are survey professionals who conduct interviews and complete questionnaires to gather data directly from respondents. They collect information through multiple channels—telephone, mail, in-person visits, and street surveys—while guiding participants through the interview process. Their work involves capturing accurate information, managing respondent engagement, and ensuring data quality across diverse demographic and geographic contexts.

Jak AI wpływa na ten zawód?

Ankieterzy score 61/100 in AI disruption risk due to a 77.03 Task Automation Proxy score—meaning nearly 77% of routine fieldwork tasks can be delegated to automated systems. Form completion and data tabulation, currently manual processes, face rapid automation through AI-powered survey platforms. However, vulnerability drops significantly when considering interview techniques (resilient), psychology (resilient), and the ability to capture people's attention (resilient). The transition is already underway: AI chatbots and mobile surveys handle standardized questionnaires, while human ankieterzy increasingly focus on complex qualitative interviews, sensitive demographic research, and politically nuanced surveys. Near-term, demand will shift toward strategic survey design and data interpretation (AI-complementary skills with 65.73 score), away from data entry. Long-term, ankieterzy who develop expertise in Microsoft Office data analysis, statistics, and communication will thrive; those performing purely mechanical form-filling face displacement within 3-5 years.

Najważniejsze wnioski

• 77% of ankieter tasks can be automated by AI, particularly form-filling and data tabulation, but interview-based research remains human-dependent.
• Resilient skills—interview techniques, psychology, and rapport-building—will differentiate ankieterzy who advance their careers despite automation.
• Upskilling in data analysis, statistics, and survey methodology transforms ankieterzy into research analysts, increasing job security and earning potential.
• Routine phone and online surveys will be fully automated; human ankieterzy will concentrate on qualitative research and sensitive demographic work.

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.