Will AI replace Telemarketers?
Estimated risk score: 98 out of 100
Very high replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (79 to 100).
For the occupation as a whole, from ratings of its 12 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 41-9041.00 · Sales and Related
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 12 of its 12 rated tasks; the first 6 are shown. In O*NET’s words.
- Record names, addresses, purchases, and reactions of prospects contacted.
- Maintain records of contacts, accounts, and orders.
- Obtain names and telephone numbers of potential customers from sources such as telephone directories, magazine reply cards, and lists purchased from other organizations.
- Adjust sales scripts to better target the needs and interests of specific individuals.
- Deliver prepared sales talks, reading from scripts that describe products or services, to persuade potential customers to purchase a product or service or to make a donation.
- Obtain customer information such as name, address, and payment method, and enter orders into computers.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 0 of its 12 rated tasks. In O*NET’s words.
None of its rated tasks.
What the job is
Solicit donations or orders for goods or services over the telephone.
Also called: Telephone Sales Representative (TSR), Telephone Service Representative (TSR), Telesales Representative (Telesales Rep), Call Agent, Telesales Rep, Donation Worker, Telesales Agent, Scheduling Agent.
Closest jobs we score by hand
In the same field (Sales and Related). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate