AI Automation Index

Will AI Replace Solar Sales Representatives and Assessors?

Task-level automation exposure for Solar Sales Representatives and Assessors: 13 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

55% weighted task index

13 of 13 tasks scored

Median Salary

$104,920 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

High

284,800 people hold this job — size, not growth

Projected 2025–35

+1.2% employment change

23,600 openings a year · BLS line item

Pay by state

BLS OEWS publishes 50 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$62,160 – $135,000

Highest medians

Colorado $135,000

New Jersey $131,360

Kansas $130,850

New York $129,410

Georgia $128,850

Lowest medians

Puerto Rico $62,160

Arkansas $71,830

Oklahoma $72,480

Mississippi $74,990

Alaska $77,080

State figures come from the 41-4011 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 55%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 0%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 30%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 16%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 24/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

13 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 40%

5 tasks

Medium exposure (≥ 35%) 54%

7 tasks

Low exposure (below 35%) 6%

1 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Emerging & rewritten tasks

Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.

New 08/2024 · Incumbent

Log client information and sales leads into tracking documents or software.

Constituent Tasks

#17655 · Core · 67% automatable

Prepare proposals, quotes, contracts, or presentations for potential solar customers.

text generation — Generates sales content drafts; human tailors and approves

Develop content for sales presentations or other materials. Develop proposals for current or prospective customers. Prepare sales or other contracts.

#17656 · Core · 42% automatable

Select solar energy products, systems, or services for customers based on electrical energy requirements, site conditions, price, or other factors.

decision support — AI tailors energy offerings; human owns customer relationship

Customize energy products or services to meet customer needs.

#17663 · Core · 55% automatable

Provide customers with information, such as quotes, orders, sales, shipping, warranties, credit, funding options, incentives, or tax rebates.

interpersonal — Technical explanation to customers needs live interaction

Explain technical product or service information to customers. Explain financial information to customers.

#17661 · Core · 50% automatable

Gather information from prospective customers to identify their solar energy needs.

interpersonal — Customer needs discovery needs live interaction

Gather customer or product information to determine customer needs.

#17658 · Core · 65% automatable

Calculate potential solar resources or solar array production for a particular site considering issues such as climate, shading, and roof orientation.

decision support — Potential assessment aided by research, human decides

Evaluate potential of products, technologies, or resources.

#17654 · Core · 68% automatable

Generate solar energy customer leads to develop new accounts.

data analysis — AI analyzes market data to identify prospects

Identify potential customers.

#17664 · Core · 55% automatable

Provide technical information about solar power, solar systems, equipment, and services to potential customers or dealers.

interpersonal — Technical explanation to customers needs live interaction

Explain technical product or service information to customers.

#17657 · Core · 55% automatable

Assess sites to determine suitability for solar equipment, using equipment such as tape measures, compasses, and computer software.

decision support — Site assessment aided by data; human verifies

Assess locations for potential green technology installations.

#17665 · Core · 70% automatable

Take quote requests or orders from dealers or customers.

interpersonal — Order capture automatable; customer interaction partly human

Take product orders from customers.

#17662 · Core · 62% automatable

Prepare or review detailed design drawings, specifications, or lists related to solar installations.

visual inspection — Generates diagrams; technical accuracy and standards human

Prepare drawings or diagrams of products or services.

#17659 · Core · 42% automatable

Create customized energy management packages to satisfy customer needs.

decision support — AI tailors energy offerings; human owns customer relationship

Customize energy products or services to meet customer needs.

#17660 · Core · 58% automatable

Develop marketing or strategic plans for sales territories.

text generation — Plans drafted; human owns positioning and approval

Develop marketing plans or strategies.

#17666 · Core · 20% automatable

Demonstrate use of solar and related equipment to customers or dealers.

interpersonal — Live product demonstration requires physical presence

Demonstrate products to consumers.

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Community Sentiment

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Method

How this was scored

1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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