Will AI replace sales engineers?

Some tasks are already handled by AI or machines; the rest still needs a person. About 2h 47m of an 8-hour shift goes to tasks that AI or robots largely take over. The breakdown: 37m done by people with AI help, 2h 47m that AI mostly does alone. The other 4h 37m (58%) stays with people. Separately, BLS expects about 2.8% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 6 of 25 tasks, about 3h 23m of a typical shift. The biggest ones:

• Develop, present, or respond to proposals for specific customer requirements, including request for proposal responses and industry-specific solutions. (47m a shift, AI mostly does it alone)
• Collaborate with sales teams to understand customer requirements, to promote the sale of company products, and to provide sales support. (47m a shift, AI mostly does it alone)
• Document account activities, generate reports, and keep records of business transactions with customers and suppliers. (26m a shift, AI mostly does it alone)
• Provide technical and non-technical support and services to clients or other staff members regarding the use, operation, and maintenance of equipment. (26m a shift, AI mostly does it alone)
• Research and identify potential customers for products or services. (21m a shift, AI mostly does it alone)

4h 37m of a typical shift, or 58%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Visit prospective buyers at commercial, industrial, or other establishments to show samples or catalogs, and to inform them about product pricing, availability, and advantages. (37m a shift)
• Prepare and deliver technical presentations that explain products or services to customers and prospective customers. (37m a shift)
• Plan and modify product configurations to meet customer needs. (26m a shift)
• Keep informed on industry news and trends, products, services, competitors, relevant information about legacy, existing, and emerging technologies, and the latest product-line developments. (21m a shift)
• Secure and renew orders and arrange delivery. (16m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 97% say dealing with the public is very or extremely important
• 60% are in constant contact with other people
• 56% talk face to face with others every day

For the 5 tasks in this job where AI shows up and timing data exists, a typical request takes about 4h 49m for a person alone and about 23m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Develop, present, or respond to proposals for specific customer requirements, including request for proposal responses and industry-specific solutions (about 7h 20m alone, 43m with AI)
• Research and identify potential customers for products or services (about 5h 26m alone, 17m with AI)
• Document account activities, generate reports, and keep records of business transactions with customers and suppliers (about 4h 49m alone, 23m with AI)

On Indeed, job postings in the Sales sector are at 92% of their February 2020 level (all U.S. postings: 104%), up 1.5% from a year earlier, as of Oct 9, 2026. BLS separately expects about 3,800 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $124,900 a year ($60.05 an hour), 145% above the median for all U.S. jobs ($50,980). Most people in this job earn between $73,870 and $195,270 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 2.8% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 53,000 jobs in 2035. It expects about 3,800 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 52,000 people in the U.S., roughly 0.03% of all workers (BLS, May 2025). That makes it the 385th largest of the 796 jobs on this site. BLS expects about 53,000 in 2035.

The most common requirement is a bachelor's degree: about 57% of people in the job said so in the official O*NET survey. O*NET rates the job at level 4 of 5 for preparation, which usually means: bachelor's degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Persuasion, Negotiation, Social Perceptiveness, Judgment and Decision Making
• Get strong at the parts of the job that stay with people (listed above), which take 4h 37m of a typical shift
• Tools employers list: Salesforce software, Python, Microsoft PowerPoint, Microsoft Office software, Microsoft Excel
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Sales Representatives, Wholesale and Manufacturing, Technical and Scientific Products (4h 34m touched, $105k median pay)
• Logistics Engineers (2h 8m touched, $82k median pay)

Each task carries its own evidence label. For this job: 6 observed in real AI use, 19 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.