Sales representatives of services: AI and the work ahead

Prospect research, proposals and record updates can be assisted. Selling a service still requires understanding the buyer's problem, establishing trust and negotiating an offer the business can actually deliver.

US occupation 41-3091 Data checked September 29, 2026 Published by ADMK Studio S.L. AI-assisted editorial process
38 /100 Illustrative task index

AI and software exposure.
Not a job-loss probability.

Calculation and limitations

Which version of this job do you do?

This BLS category excludes advertising, insurance, financial services and travel sales. Titles such as account executive cover different occupations, so check the service and responsibility before applying these figures.

Compare the duties below with a normal week in your own role. Time spent, responsibility, employer tools and access to reliable data can change the picture substantially. Use the personal task audit to identify those differences.

Task-by-task exposure

We selected 8 of 13 O*NET core tasks by importance. Importance is an O*NET rating on a 1–5 scale; it is not the percentage of time spent. The category and explanation are our interpretation, not an O*NET assessment of AI.

1 routine automation 4 ai-assisted 3 human-led

Reading uncertainty: changing one task by one category step would put this index at approximately 31–44/100. This is a sensitivity example, not a statistical confidence interval. Small score differences are not a sound reason to change careers.

Selected core tasks and our interpretation
Task and source detail Assessment and reason
Consult with clients after sales or contract signings to resolve problems and provide ongoing support. O*NET task 23225 · Importance 4.40/5
Task source: 08/2026 · Rating: 08/2026
Human-led

Resolving a disappointed client's underlying problem requires ownership across delivery and sales. A suggested reply cannot negotiate the actual remedy or repair the relationship.

Occupational task source
Answer customers' questions about services, prices, availability, or credit terms. O*NET task 23222 · Importance 4.37/5
Task source: 08/2026 · Rating: 08/2026
AI-assisted

A connected assistant can retrieve approved service and pricing information. The representative must verify eligibility, unusual requirements and commitments before promising an answer to a client.

Capability reference
Develop sales presentations or proposals to explain service specifications. O*NET task 23228 · Importance 4.35/5
Task source: 08/2026 · Rating: 08/2026
AI-assisted

Software can assemble a proposal from supplied material. The seller must establish the buyer's problem, validate the offer and remove unsupported performance claims.

Capability reference
Create forms or agreements to complete sales. O*NET task 23227 · Importance 4.25/5
Task source: 08/2026 · Rating: 08/2026
AI-assisted

Templates can populate standard agreements. Someone must check the selected terms, exceptions and authority to commit the business before the agreement is sent.

Capability reference
Contact prospective or existing customers to discuss how services can meet their needs. O*NET task 23226 · Importance 4.22/5
Task source: 08/2026 · Rating: 08/2026
Human-led

Prospecting depends on establishing relevance and discovering needs through conversation. Generating an outreach message does not establish a qualified opportunity or permission to contact someone.

Occupational task source
Negotiate prices or terms of sales or service agreements. O*NET task 23235 · Importance 4.19/5
Task source: 08/2026 · Rating: 08/2026
Human-led

Negotiation trades price against scope, risk and delivery commitments. The parties need authority and knowledge of what their organizations can actually deliver.

Occupational task source
Quote prices, credit terms, contract terms, or fulfillment dates for services. O*NET task 23236 · Importance 4.05/5
Task source: 08/2026 · Rating: 08/2026
AI-assisted

A configured price book can generate a quote. A person must confirm the service specification, authorized discounts, credit conditions and delivery capacity.

Capability reference
Maintain customer records using automated systems. O*NET task 23233 · Importance 4.02/5
Task source: 08/2026 · Rating: 08/2026
Routine automation

Configured CRM workflows can capture and update routine records from structured activity. Duplicate identities, incorrect consent flags and disputed account ownership still need an exception process.

Occupational task source

Routine automation includes conventional configured software; it does not imply autonomous AI or adoption by every employer. Human-led allows supporting tools. Vendor links document a capability, not a validated rating of this complete task. Older task dates are shown even though the database release is August 2026.

Task wording and importance: O*NET occupation 41-3091.00, O*NET 31.0 Database , U.S. Department of Labor, Employment and Training Administration, CC BY 4.0. Selected and adapted by Career Risk Score; USDOL/ETA has not approved, endorsed or tested these changes.

What assistance looks like in practice

Hypothetical workflow to illustrate the boundary; not a reported case study.

A seller prepares a proposal for an unfamiliar client. An assistant drafts an offer from supplied service descriptions. The seller tests the assumptions with the client and checks delivery capacity with the team that would do the work.

What must be checked

Confirm scope, exclusions, pricing authority and implementation requirements. Remove promises that are not supported by the actual service, even if they make the proposal sound more persuasive.

Practical skills to strengthen

  • Document a discovery conversation and the needs it uncovered.
  • Practice explaining trade-offs in scope, cost and delivery.
  • Maintain a reliable account record and follow through on commitments.

Changes worth watching

  • Watch which prospecting and proposal tasks move into CRM workflows.
  • Track the importance of domain knowledge and complex account relationships.

There is no supported date when this occupation becomes “safe” or disappears. Revisit these observations as your tasks and tools change.

Tools behind these capability examples

These are relevant documented capabilities, not endorsements, adoption statistics or hands-on product reviews. Features depend on the product, plan and employer configuration. References checked September 2026.

  • Zendesk AI Support automation and agent assistance; escalation and policy boundaries require configuration.
  • Copilot in PowerPoint Presentation drafting; instructional and factual quality still need evaluation.
  • Copilot in Word: editing and rewriting Drafting and restructuring text; factual approval remains with the user.
  • Copilot in Excel Spreadsheet assistance. A plausible formula is not evidence that its assumptions fit the decision.

Pay, demand and entry context

BLS reports median annual pay of $69,990 in 2025, with 115,700 projected openings per year on average during 2025–35. Openings include replacement needs as well as growth; they are not a count of currently advertised vacancies.

The projected employment change is + 2.7% over ten years. Employment growth can coexist with automation of particular tasks. It does not make every worker or location equally likely to benefit.

Typical entry education
High school diploma or equivalent
Related work experience
None
Typical on-the-job training
Moderate-term on-the-job training

Sales pay can vary with compensation arrangements and performance. The national annual median is not a guaranteed base salary or a forecast of commission income.

BLS categories describe typical entry, not a complete qualification checklist. “None” does not mean no learning is needed. National medians are not starting salaries; location, sector, experience, hours and benefits matter. Wage data exclude self-employed earnings. Consult local job descriptions and relevant credential authorities before paying for training.

Check the BLS source table · Build a realistic transition plan

Compare an earnings scenario

Use your own plausible pay figures to explore a move. Both pay fields start at this occupation's national median so the calculator does not imply a salary increase. A destination median describes existing workers, not your likely starting offer.

A fixed-pay illustration in nominal dollars. Unpaid months occur at the start of preparation; costs are charged at the start. Transition must fit within the comparison period. Excludes taxes, benefits, raises, inflation, investment returns and the chance of getting a job. A negative result is possible. No inputs are saved or sent by this calculator.

Calculation and a worked example

Stay = current pay × years. Move = preparation pay × (preparation years − unpaid months ÷ 12) + new pay × (years − preparation years) − one-time cost.

For $60,000 current pay, $70,000 new pay, $50,000 preparation pay, two years preparing, three unpaid months, $8,000 costs and a ten-year comparison: stay = $600,000; move = $639,500. The $39,500 difference is a scenario result, not a forecast. Break-even checks cumulative totals each month under these same assumptions.

Check the evidence and limits

The index weights these sampled tasks equally. It does not measure time, adoption, cost savings, unemployment or individual ability. The examples and transition exercises are editorial inferences. Product documentation supports the narrower capability described, not the claim that a whole job can be replaced.

Download all profile data (JSON) · Download task assessments (CSV) · Full methodology

See the September 2026 changes or report a correction with the page, task ID and supporting source.