Benchmark Job
Solar Thermal Installers and Technicians
Solar Thermal Installers and Technicians remains mostly human-led, with selective automation opportunities in support work.
Install or repair solar energy systems designed to collect, store, and circulate solar-heated water for residential, commercial or industrial use.
43% exposure • High confidenceToday
Category: Construction and Extraction • Industry: Industrial Sand Mining (21)
Top 3 drivers
- Routine process execution: 32% task weight, 57% automation potential.
- Documentation and reporting: 28% task weight, 47% automation potential.
- Stakeholder communication: 22% task weight, 33% automation potential.
Top 2 blockers
- Exception handling: Edge cases and accountability ownership.
- Stakeholder communication: Empathy, negotiation, and situational nuance.
Confidence reasons
- 1,016 benchmark role descriptions are mapped across O*NET + NAICS sources.
- Coverage spans 23 categories and 1,012 industries.
- Adjacent role consistency band is ±4 points for this benchmark family.
Task Mix
Routine process execution (32% weight • 18 contribution)57%
Mixed automation potential with meaningful human oversight.
Documentation and reporting (28% weight • 13 contribution)47%
Mixed automation potential with meaningful human oversight.
Stakeholder communication (22% weight • 7 contribution)33%
High judgment, trust, or contextual complexity keeps this human-led.
Exception handling (18% weight • 4 contribution)23%
High judgment, trust, or contextual complexity keeps this human-led.
Recommended Stack
Click a stack item to open setup difficulty, time-to-value, and workflow details.
Replaceable tasks vs human tasks
AI-suitable tasks
- ✓Routine process execution57% automation potential • Workflow automation + RPA
- ✓Documentation and reporting47% automation potential • Document AI + reporting automation
- ✓Stakeholder communication33% automation potential • Template assistant + CRM automation
Human-needed tasks
- •Exception handlingAI struggles because edge cases and accountability ownership.
- •Stakeholder communicationAI struggles because empathy, negotiation, and situational nuance.
- •Documentation and reportingAI struggles because liability and audit-quality requirements.
Tools coverage meter
This stack covers 33% of automatable tasks.
Remaining gaps: exceptions, communication, edge cases.
Automation timeline
Current mode: Today • Exposure estimate: 43% • tools now
Safer adjacent roles
- Nurse AnesthetistsExposure: 11% • Salary: $117,500 • +$44,000 • Exposure tradeoff: -28 pts
- Arbitrators, Mediators, and ConciliatorsExposure: 13% • Salary: $157,000 • +$83,500 • Exposure tradeoff: -26 pts
- Family Medicine PhysiciansExposure: 13% • Salary: $117,000 • +$43,500 • Exposure tradeoff: -26 pts
- General Internal Medicine PhysiciansExposure: 13% • Salary: $117,000 • +$43,500 • Exposure tradeoff: -26 pts
- Emergency Medicine PhysiciansExposure: 14% • Salary: $117,000 • +$43,500 • Exposure tradeoff: -25 pts
- ArchivistsExposure: 14% • Salary: $97,500 • +$24,000 • Exposure tradeoff: -25 pts
Higher-paying adjacent roles
- MathematiciansExposure: 27% • Salary: $160,000 • +$86,500 • Exposure tradeoff: -12 pts
- BiostatisticiansExposure: 30% • Salary: $158,500 • +$85,000 • Exposure tradeoff: -9 pts
- Operations Research AnalystsExposure: 33% • Salary: $157,500 • +$84,000 • Exposure tradeoff: -6 pts
- Arbitrators, Mediators, and ConciliatorsExposure: 13% • Salary: $157,000 • +$83,500 • Exposure tradeoff: -26 pts
- Computer and Information Research ScientistsExposure: 39% • Salary: $156,500 • +$83,000 • Exposure tradeoff: +0 pts
- Judicial Law ClerksExposure: 18% • Salary: $156,000 • +$82,500 • Exposure tradeoff: -21 pts
Related roles
Examples of automations
Scheduling automation examples
- Capture requests from form/email into one queue
- Auto-propose slots using Scheduling workflow
- Send reminders and update status automatically
- Escalate conflicts to a supervisor with context
Reporting automation examples
- Aggregate daily operations into one reporting table
- Generate dashboards with Reporting automation
- Create weekly summary narratives with risk flags
- Distribute summaries by role with required actions
Communication templating examples
- Classify inbound messages by intent and urgency
- Draft replies with Communication copilot
- Insert policy-approved language and context snippets
- Queue sensitive drafts for manager approval
Escalation handling examples
- Detect exception triggers from job events
- Route to specialist based on severity policy
- Attach timeline, customer context, and prior actions
- Track closure and feed outcomes into playbooks
Benchmark data source
Last updated: March 4, 2026
Benchmarked descriptions used: 1,016 role descriptions mapped across 1,012 industries.
Data references for this role
Role profile and task mix
Job title, SOC 47-2152.04, role description, task statements, and job-zone context.
Source: O*NET Database 29.0 (Occupation Data + Job Zones) • O*NET Resource Center / U.S. Department of Labor
Industry and sector mapping
Industry code 212322, sector 21, and category mapping shown on this role.
Source: NAICS 2022 6-Digit Codes • U.S. Census Bureau
Exposure score, confidence, and timeline views
Deterministic benchmark scoring, confidence tiers, stack coverage, and timeline projections derived from role/task inputs.
Source: replaced.fyi methodology • replaced.fyi
Related roles and pivot recommendations
Adjacent-role comparisons and safer/higher-pay pivot suggestions computed from the same benchmark catalog.
Source: replaced.fyi rankings dataset • replaced.fyi
Primary source list
Confidence definition: High confidence means broad role coverage, benchmark consistency across adjacent roles, and stable task-level scoring signals.
Methodology • Rankings