Not Very Resilient

Last Update: 6/19/2026

AI Resilience Score for Sales and Related Workers:

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

Methodology and Scoring Rationale

To score how resilient sales and related work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For sales and related workers, only three of the seven sources had data, which is why confidence sits at low-medium. The sources that did weigh in agreed that AI exposure is high, pulling the human contribution score down. Steady hiring and mid-range pay offer some balance, but not enough to lift this role above "Not Very Resilient."

AI Resilience Report forSales and Related Workers, All Other

$46,370 median salary16,000 annual openingsSOC Code: 41-9099.00

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 Workers earns a "Not Very Resilient" label because AI tools are already handling a big chunk of the routine work in this field, including lead research, outreach drafting, CRM updates, and lead qualification, which are exactly the tasks that entry-level and general sales workers spend a lot of their time on. Companies are adopting these tools quickly because they are affordable and directly tied to making more money, and we have already seen real job cuts (like Salesforce eliminating around 4,000 customer-service positions) as AI takes over repetitive interactions.

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This role is not very resilient

Sales and Related Workers earns a "Not Very Resilient" label because AI tools are already handling a big chunk of the routine work in this field, including lead research, outreach drafting, CRM updates, and lead qualification, which are exactly the tasks that entry-level and general sales workers spend a lot of their time on. Companies are adopting these tools quickly because they are affordable and directly tied to making more money, and we have already seen real job cuts (like Salesforce eliminating around 4,000 customer-service positions) as AI takes over repetitive interactions.

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Analysis of Current AI Resilience

Sales and Related Workers

Updated Quarterly

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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Will AI replace Sales and Related Workers?

Will AI replace Sales and Related Workers?

In part. We think AI will eventually automate a real share of this work, but the most human parts of selling will still need people behind them.

Our 34.9% AI Resilience Score reflects how exposed this role already is. AI agents can now research accounts, prioritize leads, draft outreach, and update CRM records with very little human input, and 87% of sales organizations are already using AI across those tasks [1]. Routine work like lead qualification and quote generation is especially at risk, and that kind of work often falls to entry-level people first [3]. Salesforce cut roughly 4,000 customer-service positions after AI handled about half of customer interactions [5], so the pressure on general sales roles is real.

What holds up is the human side: empathy, trust-building, reading a room, and guiding someone through a complex decision. AI can raise the floor by standardizing best practices, but it cannot replace what defines great selling [4]. If you are starting out in sales, the smart move is to learn the AI tools your employer uses, lean hard into relationship skills, and aim toward advisory or consultative work over time. Those paths are more durable, and the skills you build in sales, listening, persuasion, problem-solving, travel well.

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Latest AI news for Sales and Related Workers

These articles highlight the impact of AI on sales careers, emphasizing both challenges and opportunities. For instance, the CBS News study indicates that workers in sales may face job displacement, but it also underscores the importance of adaptability and upskilling. Meanwhile, the Morgan Stanley piece reveals how AI is enhancing efficiency in real estate sales, suggesting that embracing technology can lead to new roles and growth. Understanding these dynamics equips students for a resilient career in sales, where leveraging AI can create competitive advantages.

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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