Prepare responses to correspondence containing routine inquiries.
Prepare responses to correspondence containing routine inquiries.
Task automation exposure
Very high exposure
Exposure basis
[v4/median] score 80 (raw 80 | A 80 / B 90 / C 80 | modality: other) Current AI language models can reliably draft professional-quality replies to routine inquiries, and such tools are already integrated into common email platforms. (capable: Large Language Model (e.g., GPT‑4 or comparable AI writing assistant))
0 capabilities · 1 occupations
Basis
How exposure was assessed
[v4/median] score 80 (raw 80 | A 80 / B 90 / C 80 | modality: other) Current AI language models can reliably draft professional-quality replies to routine inquiries, and such tools are already integrated into common email platforms. (capable: Large Language Model (e.g., GPT‑4 or comparable AI writing assistant))
How much of this task's output current AI can produce or substantially assist.
Best current model strength on any capability this task requires.
This is an assessment of technical feasibility plus published evidence - not a forecast. Even fully automatable tasks are often not automated, because of cost, verification, liability, regulation or the fact that the task is bundled with other work.
Occupations
Occupations that perform this task (1)
Importance is the O*NET-style weight of this task within each occupation. The same task can be highly exposed but peripheral to one job and core to another.
| Occupation | Industry | Importance | Role | Occupation AI exposure |
|---|---|---|---|---|
| Executive Secretaries and Executive Administrative Assistants | Administration | 4/5 | core | 16 |
Evidence
Evidence (0)
No evidence item is mapped to this specific task yet. The exposure figure above rests on the v1 editorial baseline and on the capability assessment, and should be treated as low-confidence. Pages with fewer than 0 evidence items are excluded from sitemaps.