Not Very Resilient

Last Update: 5/19/2026

Your role’s AI Resilience Score is

34.9%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
Low-medium

Contributing sources

AI Resilience Report forSales and Related Workers, All Other

Sales and Related Workers, All Other are less resilient to AI impacts than most occupations, according to our analysis of 3 sources.

Sales and related roles are labeled "Not Very Resilient" because AI is already handling a big chunk of the routine work that many sales workers — especially newer ones — spend most of their time on, like researching leads, drafting outreach messages, updating records, and qualifying customers. With 87% of sales organizations already using AI across these everyday tasks, the entry-level and assistant-level positions that used to be the starting point for a sales career are shrinking fast.

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This role is not very resilient

Sales and related roles are labeled "Not Very Resilient" because AI is already handling a big chunk of the routine work that many sales workers — especially newer ones — spend most of their time on, like researching leads, drafting outreach messages, updating records, and qualifying customers. With 87% of sales organizations already using AI across these everyday tasks, the entry-level and assistant-level positions that used to be the starting point for a sales career are shrinking fast.

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Analysis of Current AI Resilience

Sales and Related Workers

Updated Quarterly • Last Update: 5/14/2026

Analysis
Suggested Actions
State of Automation

How is AI changing Sales and Related Workers jobs?

For people working in general sales roles, AI is already doing a real share of the day-to-day work — but mostly as a helper, not a replacement. According to the Salesforce State of Sales 2026 report covered by CX Today [1], AI agents can now research accounts, prioritize leads, draft outreach, update CRM records, and follow up with limited human input, and 87% of sales organizations are using AI across cycle tasks. The Sales Management Association's 2026 benchmarking research [2] describes today's workplace as a "jagged frontier" with few accepted practices and wide variation in AI tool adoption, while measuring AI's expected impact on sales worker replacement, augmentation, and staffing models.

BCG's April 2026 analysis [3] puts sales-related roles in its "divergent" category: AI automates routine activities such as lead qualification, quote generation, and policy comparisons — tasks often handled by entry-level employees or sales assistants — while higher-value activities like policy advisory and long-term client relationship management shift to humans.

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AI Adoption

How fast is AI adoption growing for Sales and Related Workers?

Adoption is moving fast because the tools are cheap, off-the-shelf, and tied directly to revenue. Sales & Marketing Management reports [4] that AI tools can raise the floor by standardizing best practices and accelerating learning, but they can't replace the human elements that define great selling. Still, there are real risks for newer workers: Yale Insights notes [5] that Salesforce cut roughly 4,000 customer-service positions after AI agents began handling about half of customer interactions, and the Dallas Fed found [6] that first-line supervisors of retail sales workers fall into the "most AI exposure" category, while driver/sales workers and retail salespersons face moderate exposure.

The good news: empathy, trust-building, and judgment on complex deals are still where humans clearly win — so leaning into people skills, learning to use AI tools, and moving toward advisory work are smart, hopeful moves for anyone starting out in sales today.

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More Career Info

Career: Sales and Related Workers, All Other

They help sell products or services by talking to customers, answering questions, and ensuring they find what they need.

Employment & Wage Data

Median Wage

$46,370

Jobs (2024)

122,600

Growth (2024-34)

+3.7%

Annual Openings

16,000

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

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