Will AI replace Sales Engineers?
On paper, AI could touch ~51% of the work in Sales Engineers — and unlike most jobs, it's already showing up in the real workday, not just the theory.
O*NET-SOC 41-9031
How your 19 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~51%). By late 2025, real-world AI use had reached about 32% of its task activity (already common). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
Read this as a range, not a verdict
The signals here partly disagree — AI's theoretical reach (~51%) and its real-world use (~32%) tell different stories. AI-risk scores also shift a lot by which model does the rating (2.7%–51.5% in one 2026 study), so this is a direction of travel, not a fixed answer.
See all 19 tasks, ratedBased on real task-level AI scores — click to collapse
- Create sales or service contracts for products or services.
- Document account activities, generate reports, and keep records of business transactions with customers and suppliers.
- Attend company training seminars to become familiar with product lines.
- Develop, present, or respond to proposals for specific customer requirements, including request for proposal responses and industry-specific solutions.
- Collaborate with sales teams to understand customer requirements, to promote the sale of company products, and to provide sales support.
- Keep informed on industry news and trends, products, services, competitors, relevant information about legacy, existing, and emerging technologies, and the latest product-line developments.
- Identify resale opportunities and support them to achieve sales plans.
- Confer with customers and engineers to assess equipment needs and to determine system requirements.
- Plan and modify product configurations to meet customer needs.
- Prepare and deliver technical presentations that explain products or services to customers and prospective customers.
- Recommend improved materials or machinery to customers, documenting how such changes will lower costs or increase production.
- Maintain sales forecasting reports.
- Research and identify potential customers for products or services.
- Secure and renew orders and arrange delivery.
- Develop sales plans to introduce products in new markets.
- Train team members in the customer applications of technologies.
- Visit prospective buyers at commercial, industrial, or other establishments to show samples or catalogs, and to inform them about product pricing, availability, and advantages.
- Attend trade shows and seminars to promote products or to learn about industry developments.
- Arrange for demonstrations or trial installations of equipment.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.