Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Sales Engineers:
39.8%
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forSales Engineers
$124,900 median salary•3,800 annual openings•SOC Code: 41-9031.00
Sales Engineers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Sales Engineers land in "Somewhat Resilient" because AI is genuinely changing big chunks of the job, like prospect research, forecasting, and record-keeping, but the heart of the work (building trust with customers, running live demos, and explaining complex technical details in person) still needs a real human. Tools are being adopted quickly, and companies are already making headcount decisions based on AI savings, so this is not a career where you can ignore what's happening.
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Sales Engineers land in "Somewhat Resilient" because AI is genuinely changing big chunks of the job, like prospect research, forecasting, and record-keeping, but the heart of the work (building trust with customers, running live demos, and explaining complex technical details in person) still needs a real human. Tools are being adopted quickly, and companies are already making headcount decisions based on AI savings, so this is not a career where you can ignore what's happening.
Read full analysisLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Sales Engineers
Updated Quarterly
How is AI changing Sales Engineers jobs?
Right now, AI is mostly augmenting sales engineers rather than replacing them. According to the North American Association of Sales Engineers (NAASE), Sales Engineering has always sat at the intersection of technical depth and human connection, and AI hasn't changed that – it's amplified it, turning raw signals from calls, transcripts, and support queues into a sharper, faster path to winning, as described in NAASE's June 2026 essay on AI and the SE role [1]. The heaviest lifts happen in prep and documentation: an analysis by US Tech Automations [2] estimates that "a sales engineer carries about 562 AI-addressable hours a year" worth roughly $45,809 in labor value, using data from the Anthropic Economic Index.
That lines up with the tasks flagged as most automatable in your list—forecasting, record-keeping, and prospect research. McKinsey's July 2026 report on B2B sales notes that agentic AI is being used to scan directories, news, filings, hiring trends, and procurement activity [3] to build warm-lead lists—work SEs used to do manually. But visiting customers, running demos, and building trust in the room still belong to humans.
Sources
How fast is AI adoption growing for Sales Engineers?
Adoption is moving fast because tools are cheap and available, but it isn't erasing the job. The U.S. Bureau of Labor Statistics still projects sales engineer employment to grow 3% from 2025–2035 [4], with about 3,800 openings a year and a 2025 median wage of $124,900. Economics push companies toward AI quickly: Salesforce told Fortune it "no longer needs to actively backfill support engineer roles" [5] thanks to its Agentforce agents, showing how quickly savings translate into headcount decisions.
On the slower side, Harvard Business Review's 2026 study finds that in the business world, "there is a lot of activity that produces marginal rather than game-changing benefits, so far" [6], and enterprise buyers still want a real person to explain security, integrations, and roadmaps. If you're eyeing this career, the good news is that curiosity, communication, and problem-solving skills are exactly what AI can't replicate—and learning to use these tools well is now the winning move.
Sources
Will AI replace Sales Engineers?
Not entirely. We think AI will take over some tasks, but not the whole job.
Sales Engineers sit at a score of 39.8% on our AI Resilience scale, which means real disruption is coming, but the role isn't disappearing. Right now, AI is handling the prep work: scanning directories, news, and procurement activity to build lead lists [3], and automating forecasting, record-keeping, and prospect research. One analysis estimates sales engineers carry roughly 562 AI-addressable hours a year [2], so expect a meaningful chunk of today's workload to shift to machines.
What stays human is the part that actually closes deals. Running live demos, navigating a skeptical buyer's security concerns, and building trust in the room are things AI can't replicate. Enterprise customers still want a real person to explain integrations and roadmaps, and Harvard Business Review's research finds that AI adoption in business settings has so far produced "marginal rather than game-changing benefits" for many workflows [6].
The job market offers some reassurance. The BLS projects 3% employment growth through 2035, with around 3,800 openings a year and a median wage of $124,900 [4]. The role is evolving, not vanishing. If you're considering this path, learning to use AI tools well, while sharpening your communication and problem-solving skills, is the move that keeps you ahead.
Sources
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Latest AI news for Sales Engineers
These articles highlight the growing importance of AI in sales engineering careers. For instance, Salesforce CEO Marc Benioff notes that while engineering jobs may decline, sales roles are thriving, emphasizing the demand for skilled sales engineers. Additionally, Stellantis is collaborating with Microsoft to develop over 100 AI initiatives, showing how AI can enhance customer experiences. This demonstrates that students entering the field can leverage AI tools to boost productivity and customer engagement, making them more resilient and valuable in a rapidly evolving job market.
As AI slashes white-collar jobs, Salesforce CEO Marc Benioff says almost no one is being hired—except in sales
finance.yahoo.com • 5/28/2026
Salesforce CEO Marc Benioff revealed that the $145 billion firm is keeping its engineering team slim thanks to AI—but has good news for...
How to Break Into AI Sales
www.coursera.org • 5/6/2026
Selling AI solutions is an emerging, high-paying career path within the larger field of tech sales. Learn how to break into this rapidly...
Stellantis Accelerates AI-led Strategy and Digital Transformation Through Strategic Collaboration with Microsoft to Enhance Customer Experiences
www.stellantis.com • 4/16/2026
Joint teams to co-develop more than 100 AI initiatives across sales, customer care and operations, driving innovation at a global scale.
Amazon wants 80% of its developers to use AI for coding at least once a week, but there's one condition
timesofindia.indiatimes.com • 2/17/2026
Tech News News: Amazon is pushing hard to make AI-assisted coding an everyday habit across the company. The target is clear—80 per cent of...
AI Is Transforming Productivity, but Sales Remains a New Frontier
www.bain.com • 9/23/2025
Potential applications of generative and agentic AI could free up more selling time and boost conversion rates.
More Career Info
Career: Sales Engineers
They help sell complex products by explaining how they work and why they're useful to customers, making sure the product meets the customer's needs.
Parent Careers
Employment & Wage Data
Median Wage
$124,900
Jobs (2025)
51,600
Growth (2025-35)
+2.8%
Annual Openings
3,800
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Attend trade shows and seminars to promote products or to learn about industry developments.
2
Visit prospective buyers at commercial, industrial, or other establishments to show samples or catalogs, and to inform them about product pricing, availability, and advantages.
3
Sell products requiring extensive technical expertise and support for installation and use, such as material handling equipment, numerical-control machinery, or computer systems.
4
Collaborate with sales teams to understand customer requirements, to promote the sale of company products, and to provide sales support.
5
Confer with customers and engineers to assess equipment needs and to determine system requirements.
6
Provide information needed for the development of custom-made machinery.
7
Arrange for demonstrations or trial installations of equipment.
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.
