Obtain names and telephone numbers of potential customers from sources such as telephone directories, magazine reply ca…
Obtain names and telephone numbers of potential customers from sources such as telephone directories, magazine reply cards, and lists purchased from other organizations.
Task automation exposure
Very high exposure
Exposure basis
[v4/median] score 85 (raw 85 | A 85 / B 95 / C 55 | modality: other) AI can automatically scrape, OCR, and parse directories and purchased lists to extract names and phone numbers with high accuracy, requiring minimal human oversight. (capable: AI-powered data extraction pipelines (e.g., GPT-4 for parsing combined with OCR tools like Tesseract))
0 capabilities · 1 occupations
Basis
How exposure was assessed
[v4/median] score 85 (raw 85 | A 85 / B 95 / C 55 | modality: other) AI can automatically scrape, OCR, and parse directories and purchased lists to extract names and phone numbers with high accuracy, requiring minimal human oversight. (capable: AI-powered data extraction pipelines (e.g., GPT-4 for parsing combined with OCR tools like Tesseract))
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 |
|---|---|---|---|---|
| Telemarketers | Retail & customer service | 4.1/5 | secondary | 67 |
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.