Für diese Tätigkeit liegen 5 Quellenbelege vor. Keiner untersucht diese Tätigkeit unmittelbar; die Aussagen stammen aus breiterem Kontext.
Das reine Erfassen läuft zunehmend automatisch, das Prüfen und Nachbearbeiten bleibt menschlich.
Das Erfassen und Prüfen von Daten zählt zu den am stärksten betroffenen Tätigkeiten: In Betrieben mit mehr KI geht die Nachfrage nach solchen Bürofähigkeiten messbar zurück, und Arbeitgeber rechnen reine Erfassungsrollen zu den am schnellsten schrumpfenden. Zugleich hat die Forschung ihre frühere Einschätzung nach unten korrigiert — der Prüf- und Nachbearbeitungsanteil erfordert in der Praxis weiterhin erhebliche menschliche Arbeit. Der reine Verbuchungsteil läuft zunehmend automatisch, das Prüfen und Korrigieren am Einzelfall bleibt.
Diese allgemeine Einordnung ist keine Messung in jedem einzelnen Beruf.
Eine fehlende Bewertung bedeutet nicht, dass die Tätigkeit nicht betroffen ist.
„Gradient 4 4132 Data Entry Clerks 0.7 0.03" „Gradient 4 highlights occupations with the highest share of tasks exposed to potential GenAI-driven automation, and with a high consistency of this exposure across tasks (Highest exposure, low task variability). This gradient aligns closely with the notion of automation risk in our earlier classification system (Gmyrek et al., 2023)."
Generative AI and Jobs: A Refined Global Index of Occupational Exposure (ILO Working Paper 140) · 2025 · ILO WP 140, Table A1, PDF-S. 51 (gedr. S. 48); ILO WP 140, Abschnitt zu Figure 16/Table 5, PDF-S. 40–41 (gedr. S. 37–38)
„Among the 13 occupations classified in gradient 4, the majority represent clerical roles, including data entry clerks, typists and word processing operators, accounting and bookkeeping clerks, and general office clerks." „Clerical occupations continue to have the highest exposure levels, albeit with some important downward revisions to individual tasks scores. Such occupations include data entry clerks, typists, accounting, bookkeeping clerks and administrative secretaries."
Generative AI and Jobs: A Refined Global Index of Occupational Exposure (ILO Working Paper 140) · 2025 · ILO WP 140, Kap. 9 „Changes to occupational classifications", PDF-S. 43 (gedr. S. 40); ILO WP 140, Schlussabschnitt, PDF-S. 49–50 (gedr. S. 46–47)
„Skills and tasks that can be roughly described as clerical tasks were the sub-group of skills that saw the largest reduction in demand. Demand for clerical skills declined by slightly more than 2 percentage points for a one standard deviation increase in establishment-level AI exposure (Figure 4.3, Panel B). Just as with the business process group, all countries saw a decline in demand for clerical skills […]" „The most frequently demanded skills in clerical tasks are administrative support and record keeping, and this subgrouping includes the use of general office tools as well." „This report finds that AI may now be putting these same clerical and administrative skills under direct threat of automation leading to diminishing demand for these skills."
Artificial Intelligence and the Changing Demand for Skills in the Labour Market (OECD AI Papers No. 14) · 2024 · OECD AI Papers No. 14, Abschnitt 4, PDF-S. 36 (gedr. S. 36); OECD AI Papers No. 14, PDF-S. 36 (gedr. S. 36); OECD AI Papers No. 14, Literaturabschnitt, PDF-S. 14 (gedr. S. 14)
„Similarly, businesses expect the fastest-declining roles to include Postal Service Clerks, Bank Tellers and Data Entry Clerks." „By contrast, respondents expect the fastest-declining roles to include various clerical roles, such as Cashiers and Ticket Clerks, alongside Administrative Assistants and Executive Secretaries, Printing Workers, and Accountants and Auditors. Broadening digital access, AI and information processing technologies, and robots and autonomous systems are the primary drivers for this decline. Aging and declining working-age populations and slower economic growth also contribute to the decline in clerical roles."
The Future of Jobs Report 2025 · 2025 · WEF Future of Jobs Report 2025, Key Findings, PDF-S. 6 (gedr. S. 5); WEF Future of Jobs Report 2025, Kap. 2, PDF-S. 20 (gedr. S. 19)
„This decrease highlights the distinction between the theoretical automation potential of a task and the practical insights gained from two years of experimentation with GenAI tools. While tasks such as taking meeting notes or scheduling appointments can significantly benefit from GenAI support, our 2023 scores for such tasks, which reached 0.9 in some cases, reflected an overly optimistic assessment of full automation potential. In reality, many of these tasks still require substantial human effort." „Notwithstanding these findings, we stress that such exposure does not imply the immediate automation of an entire occupation, but rather the potential for a large share of its current tasks to be performed using this technology. Whether this leads to the disappearance of an occupation or workforce replacement is a more complex question — one that will depend on the initial decision to adopt the technology, but also the extent to which individuals in these occupations are given opportunities to learn to work with these technologies […]"
Generative AI and Jobs: A Refined Global Index of Occupational Exposure (ILO Working Paper 140) · 2025 · ILO WP 140, Kap. 9, PDF-S. 43 (gedr. S. 40); ILO WP 140, Schlussabschnitt, PDF-S. 50 (gedr. S. 47)
Diese Lösungen unterstützen die Tätigkeit in einem passenden fachlichen Kontext. Das ist keine Aussage über ihre Eignung oder gemessene Wirkung in jedem zugeordneten Beruf.
Zitierhinweis: SapientShift, Tätigkeit T-073 „Daten in Systeme erfassen und prüfen“, https://sapientshift.com/taetigkeiten/daten-in-systeme-erfassen-und-pruefen. Methodik und Grenzen.