# Will technical sales representatives be replaced by AI? Updated October 2026 Technical sales representatives score 60 of 100 for AI exposure. The largest share of their task time, 66%, is work AI speeds up while they stay in charge. AI can take over 23% outright, and 11% stays with people. - **23%** AI can do it - **66%** AI helps - **11%** Needs a person High exposure Higher than 91% of the 923 occupations we scored. ## Task by task We graded 33 tasks, listed here from most to least exposed. AI can do 6 of them today, speeds up 23 and leaves 4 to people. | Task | AI exposure | | --- | --- | | Maintain customer records, using automated systems. CRM record keeping is routine data entry AI handles well. | 80% AI can do it | | Complete expense reports, sales reports, or other paperwork. Expense and sales reports are routine, highly automatable paperwork. | 80% AI can do it | | Prepare sales presentations or proposals to explain product specifications or applications. Proposal and deck drafting is strong AI territory with review. | 70% AI can do it | | Study documentation or other information for new scientific or technical products. AI summarizes technical documents well; person verifies understanding. | 70% AI helps | | Prepare and submit sales contracts for orders. Contract drafting from order data is routine document work. | 65% AI can do it | [See what AI can take on across a sales team](https://www.aigentcy.com/ai-for/sales/) ## How technical sales representatives compare All occupations (923) Sales and related (22) **Technical sales representatives score 60**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 54 for sales and related. ## Pay and outlook in the US Median pay $104,920 a year, May 2025 People employed 284,800 in the US, May 2025 Projected change in jobs +1.2% from 2024 to 2034 ## Skills to build - Log account activity and pipeline stages in Salesforce - Review AI-drafted proposals for product specification accuracy in PowerPoint - Run on-site product demonstrations with customer equipment - Build pricing scenarios and margin models in Excel - Negotiate price and delivery terms on live sales calls - Manage multi-stakeholder deal orders in SAP software ## Safer roles nearby 5 related occupations with lower scores. - [Sales engineers57 out of 100](https://www.aigentcy.com/ai-exposure/sales-engineers/) - [Buyers51 out of 100](https://www.aigentcy.com/ai-exposure/buyers/) - [Industrial production managers44 out of 100](https://www.aigentcy.com/ai-exposure/industrial-production-managers/) - [Purchasing agents49 out of 100](https://www.aigentcy.com/ai-exposure/purchasing-agents/) - [Sales supervisors48 out of 100](https://www.aigentcy.com/ai-exposure/sales-supervisors/) ## Questions about technical sales representatives and AI Will AI replace technical sales representatives? Partly. About 5 in 10 working hours go to tasks AI can already do, mostly maintaining customer records and filing expense and sales reports. What stays with people is the physical side of the job, including product demonstrations, site visits and live price negotiation. Which tasks will AI take over for technical sales representatives? Maintaining customer records scores 80 on exposure because CRM entries are routine data entry. Completing expense and sales reports also scores 80, since the paperwork follows fixed formats. Drafting sales proposals scores 70 and mostly needs a final read before it goes out. Which tasks stay human for technical sales representatives? Demonstrating products scores 5 on exposure because it needs the physical equipment and a person running it. Visiting establishments scores 10 to 12, since site visits depend on presence and relationships. Negotiating prices scores 25 because live bargaining needs judgment that AI only prepares for. How can technical sales representatives stay valuable? Put the hours AI frees into site visits, live demonstrations and price negotiation. Use Salesforce to keep account records accurate, then check each AI-drafted proposal in PowerPoint before it goes out. Build pricing scenarios in Excel for negotiations, and run product demos on site where the equipment is. ## Related jobs - [Sales representatives63 out of 100](https://www.aigentcy.com/ai-exposure/sales-representatives/) - [Sales managers45 out of 100](https://www.aigentcy.com/ai-exposure/sales-managers/) - [Advertising sales agents61 out of 100](https://www.aigentcy.com/ai-exposure/advertising-sales-agents/) - [Purchasing managers51 out of 100](https://www.aigentcy.com/ai-exposure/purchasing-managers/) ## Next steps for technical sales representatives - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Cement masons score lowest, at 8.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.