Last Update: 2/17/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They sell complex products to businesses by explaining how they work and why they are useful, helping to solve technical problems.
This role is evolving
This career is labeled as "Evolving" because many routine tasks, such as managing customer data and generating quotes, are being automated by AI tools, making these processes faster and more efficient. However, there are still important opportunities for sales representatives to focus on building relationships and handling complex deals that require human creativity and expertise.
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 evolving
This career is labeled as "Evolving" because many routine tasks, such as managing customer data and generating quotes, are being automated by AI tools, making these processes faster and more efficient. However, there are still important opportunities for sales representatives to focus on building relationships and handling complex deals that require human creativity and expertise.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Sales Reps, Tech & Sci Prd
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
In technical wholesale sales, many of the routine steps are already handled by smart software, and AI is increasingly helping. For example, sales teams use CRM systems (like Salesforce), and AI features in those tools can score leads and update customer records automatically [1] [2]. Pricing and quoting is often done with specialized apps, and new AI can even suggest optimal prices or draft parts of quotes [2] [2].
One McKinsey study notes that AI-driven analytics can manage huge customer lists (something hard for people alone) and help generate proposals or RFP responses, sometimes finding millions in new opportunities [2] [2]. Still, tasks that require human touch remain mostly manual. Preparing custom presentations or answering a customer’s technical questions needs creativity and product expertise.
Experts say AI will handle the routine data work, which lets sales reps spend more time on strategy and relationship-building [1] [2].

AI in the real world
Companies see big benefits from AI in sales, so adoption is growing but still cautious. Many firms have started pilot programs: McKinsey reports only about 1 in 5 have fully rolled out generative AI for sales yet [2], but most who try it are “very excited,” noting gains in efficiency, growth, and customer insights [2]. The tech is available – CRMs and sales tools now often include AI assistants – and the upside can be large (for instance, one distributor rapidly generated $1.8M in quotes using an AI tool [2]).
However, companies must weigh costs (software and training) against paying experienced reps. The UAB sales research cautions that data must be kept clean and privacy protected, and staff need ongoing training to use AI well [1]. In practice, many businesses apply AI first to the most repetitive tasks (like data entry or simple calculations) and move more slowly on sensitive ones.
Because technical products require trust and expertise, experts expect sales roles to evolve (with AI assisting) rather than vanish – the human touch still matters for complex deals [2] [1].

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Median Wage
$100,070
Jobs (2024)
303,200
Growth (2024-34)
+1.9%
Annual Openings
27,200
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Complete expense reports, sales reports, or other paperwork.
Inform customers about issues related to responsible use and disposal of products, such as waste reduction or product or byproduct recycling or disposal.
Collaborate with colleagues to exchange information, such as selling strategies or marketing information.
Obtain building blueprints or specifications for use by engineering departments in bid preparations.
Prepare sales presentations or proposals to explain product specifications or applications.
Provide feedback to product design teams so that products can be tailored to clients' needs.
Negotiate prices or terms of sales or service agreements.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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