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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
Contributing sources
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.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
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.
Read full analysisAnalysis of Current AI Resilience
Sales and Related Workers
Updated Quarterly • Last Update: 5/14/2026

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.

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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They help sell products or services by talking to customers, answering questions, and ensuring they find what they need.
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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The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
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