Is a Solar Installer job safe from AI?

Relatively yes. A Solar Installer scores 9/100 on the ReplacedYet AI-Risk Index — low risk — because the role leans on hands-on, in-person, or high-judgment work that AI struggles to automate.

When will AI be able to do a Solar Installer's job?

Based on AI's measured task-completion horizon (METR, doubling ~every 4.3 months), AI reaches this role's core complexity ~7.1 years (2033). That projects the capability — actual adoption usually lags it.

How accurate is the Solar Installer AI-risk score?

It's a transparent, computed estimate — directionally useful, not a guarantee. It blends six labor and AI-exposure signals (O*NET, BLS, Eloundou task exposure, AIOE, the Anthropic Economic Index, and physical-automation data). See the methodology page for the full formula.

A Solar Installer carries a 9/100 AI replacement risk (low). AI can already handle quoting, scheduling and admin; Hands-on installation and repair still needs a person. Of exposed work, ~37% is automation vs 63% augmentation. Capability clock: ~7.1 years (2033). (ReplacedYet AI-Risk Index, 2026 data.)

Will AI replace a Solar Installer?

AI replacement risk: 9/100 (low risk). Low exposure — this work resists automation and is hard for AI to replace.

Timeline: 5+ years / low. Of the exposed work, roughly 37% is likely to be automated and 63% augmented. $108.0M/yr of US wages sit in highly-exposed work for this role.

AI/software exposure: 18%. Robot/physical-automation exposure: 2%.

Capability clock: AI's measured task horizon reaches this role's core complexity (~5358985.6h of human work) ~7.1 years (2033) — projected from METR's ~4.3-month doubling.

Pressure Index: 6/100 (low) — blends risk, demand trend, and real-world evidence. Job postings up 12% vs 2020.

AI tools targeting this role

ServiceTitan — scheduling, dispatch, and job-quoting admin

Layoff signal: none — Hands-on trade work resists automation, and demand remains stable.

Tasks at risk

Quoting, scheduling and admin — AI handles estimates, dispatch and paperwork.
Code and spec lookups — Instant AI reference replaces manual lookup.
Diagnostics support — AI assists with fault-finding guidance.

Tasks that still need a human

Hands-on installation and repair — Physical work in variable real-world settings resists automation.
On-site problem solving — Unpredictable conditions need a skilled human.

Skills that protect you

Specialized / commercial systems — Complex, higher-paid work is safer.
Business ownership — Own the customer relationship and margin.
New technology (EV, solar, smart) — Emerging demand for upskilled trades.

Frequently asked questions

Will AI replace Solar Installers?: A Solar Installer carries a 9/100 AI replacement risk (low). AI can already handle quoting, scheduling and admin; Hands-on installation and repair still needs a person. Of exposed work, ~37% is automation vs 63% augmentation. Capability clock: ~7.1 years (2033). (ReplacedYet AI-Risk Index, 2026 data.)
Is a Solar Installer job safe from AI?: Relatively yes. A Solar Installer scores 9/100 on the ReplacedYet AI-Risk Index — low risk — because the role leans on hands-on, in-person, or high-judgment work that AI struggles to automate.
When will AI be able to do a Solar Installer's job?: Based on AI's measured task-completion horizon (METR, doubling ~every 4.3 months), AI reaches this role's core complexity ~7.1 years (2033). That projects the capability — actual adoption usually lags it.
How accurate is the Solar Installer AI-risk score?: It's a transparent, computed estimate — directionally useful, not a guarantee. It blends six labor and AI-exposure signals (O*NET, BLS, Eloundou task exposure, AIOE, the Anthropic Economic Index, and physical-automation data). See the methodology page for the full formula.

Category: Skilled Trades · Methodology · Download the dataset

ReplacedYet AI-Risk Index. Last updated 2026-06-27. AI-estimated and directionally useful, not a guarantee.