Share and intensity of work current AI systems can materially affect.
SOC 41-9041
Telemarketers AI displacement risk
Scripted cold outreach, list-based solicitation, and order capture are among the most automatable tasks in the economy, and AI voice agents are targeting exactly this work. Employment has been declining for years.
Likely potential for exposed tasks to move to software after workflow integration.
Regulation, consumer fatigue, and do-not-call rules already constrained this role before AI. The remaining work concentrates in inbound response and complex persuasion, not scripted volume.
Distribution
Where Telemarketers sits across 620 tracked roles
Displacement pressure 84 — higher than 99% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
12 O*NET task statements matched to SOC 41-9041. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $35,450 (May 2025, US national). The latest BLS row matched SOC 41-9041.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Telemarketers
SOC 41-9041 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 84/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Telemarketers
The current evidence import matched 12 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks12
SOC41-9041
- Core task / ID 4619
Contact businesses or private individuals by telephone to solicit sales for goods or services, or to request donations for charitable causes.
- Core task / ID 4621
Obtain customer information such as name, address, and payment method, and enter orders into computers.
- Core task / ID 4620
Explain products or services and prices, and answer questions from customers.
- Core task / ID 4622
Record names, addresses, purchases, and reactions of prospects contacted.
- Core task / ID 4627
Maintain records of contacts, accounts, and orders.
- Core task / ID 4625
Answer telephone calls from potential customers who have been solicited through advertisements.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Deliver scripted sales pitches
Exposure 92, automation 80%, augmentation 12%.
O*NET evidence: Deliver prepared sales talks, reading from scripts that describe products or services, ... (ID 4618)
Solicit prospects from call lists
Exposure 88, automation 72%, augmentation 16%.
O*NET evidence: Answer telephone calls from potential customers who have been solicited through adverti... (ID 4625)
Enter orders and contact records
Exposure 84, automation 68%, augmentation 18%.
O*NET evidence: Maintain records of contacts, accounts, and orders. (ID 4627)
Adjust scripts to prospect reactions
Exposure 48, automation 26%, augmentation 48%.
O*NET evidence: Record names, addresses, purchases, and reactions of prospects contacted. (ID 4622)
TaskExposureAutomationAugmentation
Deliver scripted sales pitches9280%12%
Solicit prospects from call lists8872%16%
Enter orders and contact records8468%18%
Adjust scripts to prospect reactions4826%48%
Transition pathways
Adjacent moves that preserve existing skills
adjacent role
Very HighSales Development Representative
Training horizon: 3-6 months. Skill overlap 70. Wage preservation signal 142.
- Learn consultative discovery
- Practice personalized outreach
- Build pipeline metrics habits
role redesign
Very HighCustomer Retention Specialist
Training horizon: 2-5 months. Skill overlap 66. Wage preservation signal 118.
- Own save-desk conversations
- Track churn reasons
- Practice empathy-led scripting
Comparison guides
Compare the next move before you commit
3-6 months
Telemarketers to Sales Development Representative
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Telemarketers into Sales Development Representative.
2-5 months
Telemarketers to Customer Retention Specialist
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Telemarketers into Customer Retention Specialist.
What the AI risk score means for Telemarketers
The displacement pressure score for Telemarketers is 84. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Deliver scripted sales pitches carries 80% automation pressure, while Adjust scripts to prospect reactions carries 48% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $35,450 (May 2025, US national). Employment context: Small and steadily shrinking outbound sales role. Typical education: No formal educational credential.
Wage vulnerability is 82, while transition feasibility is 60. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Very high displacement pressure
- Declining employment base
- Inbound sales skills transfer well
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Telemarketers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Persuasion fundamentals
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Objection handling
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
CRM hygiene
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Compliance awareness
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Sales Development Representative, such as learn consultative discovery.
- By 90 days, compare internal openings and external postings for Sales Development Representative or Customer Retention Specialist and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Telemarketers
Will AI replace Telemarketers?
Scripted cold outreach, list-based solicitation, and order capture are among the most automatable tasks in the economy, and AI voice agents are targeting exactly this work. Employment has been declining for years. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Telemarketers work are most exposed to AI?
Deliver scripted sales pitches and Solicit prospects from call lists show the strongest automation pressure in this model. Adjust scripts to prospect reactions and Enter orders and contact records are better treated as AI-augmented work.
What should Telemarketers learn next?
Start with Persuasion fundamentals, Objection handling, CRM hygiene. The most practical adjacent paths in this model are Sales Development Representative and Customer Retention Specialist.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
World Economic Forum / 7 January 2025The Future of Jobs Report 2025International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics