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Will AI replace Sales and Related Workers, All Other?

All sales and related workers not listed separately. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 41-9099.00 · modeled exposure, not guaranteed job loss
MODERATE TASK EXPOSURE
57%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation shareⓘ
57%Automatable
Automatable57%
Augmentable22%
Hard to automate21%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Marketing & Sales
Growth & Revenue
Modeled pay midpoint$
$86,900/yr
Directional estimate — verify locally
Time until impact⌁
2–4 years
Earliest 2027 · widespread 2029–2031
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
◇Organize role-specific information and routine work67%
⚙Prepare standard outputs and records59%
✦Trust, persuasion, and relationship context15%
✦Reading live customer signals11%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2027Next2029–2031
Early impactAI begins supporting organize role-specific information and routine work.
Role reshapingRepeatable tasks become faster and more automated.
Wider adoptionThe role centers more on trust, persuasion, and relationship context.
2–4 yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Sales and Related Workers, All Other.
02>AI can help with: Organize role-specific information and routine work.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Trust, persuasion, and relationship context.
05>Likely result: AI is more likely to change this job than remove it.
06>Important: 57% is estimated task exposure—not a 57% chance of losing the job.
What AI can do
Organize role-specific information and routine workMEDIUM-HIGH
Prepare standard outputs and recordsMEDIUM
How estimates work →
Your human moat
◆

Trust, persuasion, and relationship context

MEDIUM-HIGH

Combined with reading live customer signals, this keeps a human in the loop.

Strength7.2
Similar-role comparison
RoleRisk
Sales and Related Workers, All Other57%
Sales Engineers57%
Digital Marketing Specialist58%
Parts Salespersons58%
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Why this score?

✓The model evaluates 2 representative core tasks.
✓The role mixes repeatable work with human judgment.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is trust, persuasion, and relationship context.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025About O*NETShare report
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Sales Engineers · 57% exposureDigital Marketing Specialist · 58% exposureParts Salespersons · 58% exposure