Is a Zookeeper job safe from AI?

Relatively yes. A Zookeeper scores 13/100 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 Zookeeper's job?

Based on AI's measured task-completion horizon (METR, doubling ~every 4.3 months), AI reaches this role's core complexity ~7.3 years (2033). That projects the capability — actual adoption usually lags it.

How accurate is the Zookeeper 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 Zookeeper carries a 13/100 AI replacement risk (low). AI can already handle charting and documentation; Hands-on care still needs a person. Of exposed work, ~40% is automation vs 60% augmentation. Capability clock: ~7.3 years (2033). (ReplacedYet AI-Risk Index, 2026 data.)

Will AI replace a Zookeeper?

AI replacement risk: 13/100 (low risk). Low exposure — this work resists automation and is hard for AI to replace.

Timeline: 5+ years / low. Of the exposed work, roughly 40% is likely to be automated and 60% augmented. $34.6M/yr of US wages sit in highly-exposed work for this role.

AI/software exposure: 26%. Robot/physical-automation exposure: 0%.

Capability clock: AI's measured task horizon reaches this role's core complexity (~8817397.1h of human work) ~7.3 years (2033) — projected from METR's ~4.3-month doubling.

Pressure Index: 9/100 (low) — blends risk, demand trend, and real-world evidence. Job postings up 12% vs 2020.

AI tools targeting this role

Vagaro — booking, reminders, and client management

Layoff signal: none — In-person personal-care services are immune to automation, and demand remains stable.

Tasks at risk

Charting and documentation — Ambient AI scribes draft clinical notes.
Scheduling and coordination — Automated systems handle logistics.
Routine information delivery — AI answers common questions.

Tasks that still need a human

Hands-on care — Physical, in-person care cannot be automated.
Emotional support and trust — Human presence is the value.

Skills that protect you

Specialized clinical skills — High-acuity care is durable.
Care coordination — Complex human judgment.
Health informatics — Bridge care and technology.

Frequently asked questions

Will AI replace Zookeepers?: A Zookeeper carries a 13/100 AI replacement risk (low). AI can already handle charting and documentation; Hands-on care still needs a person. Of exposed work, ~40% is automation vs 60% augmentation. Capability clock: ~7.3 years (2033). (ReplacedYet AI-Risk Index, 2026 data.)
Is a Zookeeper job safe from AI?: Relatively yes. A Zookeeper scores 13/100 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 Zookeeper's job?: Based on AI's measured task-completion horizon (METR, doubling ~every 4.3 months), AI reaches this role's core complexity ~7.3 years (2033). That projects the capability — actual adoption usually lags it.
How accurate is the Zookeeper 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: Personal Care · Methodology · Download the dataset

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