Is a Real Estate Agent job safe from AI?

Relatively yes. A Real Estate Agent scores 28/100 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 Real Estate Agent's job?

Based on AI's measured task-completion horizon (METR, doubling ~every 4.3 months), AI reaches this role's core complexity ~5.1 years (2031). That projects the capability — actual adoption usually lags it.

How accurate is the Real Estate Agent 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 Real Estate Agent carries a 28/100 AI replacement risk (low). AI can already handle listing descriptions; Negotiation & closing still needs a person. Of exposed work, ~59% is automation vs 41% augmentation. Capability clock: ~5.1 years (2031). (ReplacedYet AI-Risk Index, 2026 data.)

Will AI replace a Real Estate Agent?

AI replacement risk: 28/100 (low risk). Low exposure — this work resists automation and is hard for AI to replace.

Timeline: 5+ years / low. Of the exposed work, roughly 59% is likely to be automated and 41% augmented. $7.0B/yr of US wages sit in highly-exposed work for this role.

AI/software exposure: 47%. Robot/physical-automation exposure: 5%.

Capability clock: AI's measured task horizon reaches this role's core complexity (~117349.2h of human work) ~5.1 years (2031) — projected from METR's ~4.3-month doubling.

Pressure Index: 25/100 (low) — blends risk, demand trend, and real-world evidence. Job postings down 8% vs 2020.

AI tools targeting this role

Zillow — AI valuation, search, and lead matching
ChatGPT — drafting listings and client communications

Layoff signal: low — AI handles listings and valuation, but relationship-driven transactions keep agent demand relatively stable.

Then vs. now: the 2013 Oxford study scored this 86%; our 2026 index scores it 28% (a fall of 58 points).

Tasks at risk

Listing descriptions — AI writes listings instantly.
Market analysis — Automated comps and pricing.
Lead matching — AI matches buyers to homes.

Tasks that still need a human

Negotiation & closing — High-stakes human deals.
Showings & local expertise — In-person, relationship work.

Skills that protect you

Negotiation expertise — Win deals for clients.
Local market authority — Trusted advisor role.
Luxury / commercial niche — Higher-touch segments.

Safer adjacent careers

Childcare Worker (5%) · Hairdresser (6%) · Nursing Assistant (6%) · Teaching Assistant (6%)

Frequently asked questions

Will AI replace Real Estate Agents?: A Real Estate Agent carries a 28/100 AI replacement risk (low). AI can already handle listing descriptions; Negotiation & closing still needs a person. Of exposed work, ~59% is automation vs 41% augmentation. Capability clock: ~5.1 years (2031). (ReplacedYet AI-Risk Index, 2026 data.)
Is a Real Estate Agent job safe from AI?: Relatively yes. A Real Estate Agent scores 28/100 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 Real Estate Agent's job?: Based on AI's measured task-completion horizon (METR, doubling ~every 4.3 months), AI reaches this role's core complexity ~5.1 years (2031). That projects the capability — actual adoption usually lags it.
How accurate is the Real Estate Agent 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: Sales · Methodology · Download the dataset

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