Is a Police Officer job safe from AI?

Relatively yes. A Police Officer scores 12/100 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 Police Officer'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 Police Officer 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 Police Officer carries a 12/100 AI replacement risk (low). AI can already handle report writing; Field response & patrol still needs a person. Of exposed work, ~50% is automation vs 50% augmentation. Capability clock: ~7.1 years (2033). (ReplacedYet AI-Risk Index, 2026 data.)

Will AI replace a Police Officer?

AI replacement risk: 12/100 (low risk). Low exposure — this work resists automation and is hard for AI to replace.

Timeline: 5+ years / low. Of the exposed work, roughly 50% is likely to be automated and 50% augmented. $6.5B/yr of US wages sit in highly-exposed work for this role.

AI/software exposure: 24%. Robot/physical-automation exposure: 5%.

Capability clock: AI's measured task horizon reaches this role's core complexity (~5707600.5h of human work) ~7.1 years (2033) — projected from METR's ~4.3-month doubling.

Pressure Index: 8/100 (low) — blends risk, demand trend, and real-world evidence. Job postings up 6% vs 2020.

AI tools targeting this role

Axon Draft One — AI drafting of incident reports from body-cam audio

Layoff signal: none — AI assists with reporting paperwork, but frontline policing demand remains stable.

Then vs. now: the 2013 Oxford study scored this 0%; our 2026 index scores it 12% (a rise of 12 points).

Tasks at risk

Report writing — AI drafts incident reports.
Records & data lookup — Automated retrieval.
Some surveillance analysis — AI flags footage.

Tasks that still need a human

Field response & patrol — Physical presence required.
De-escalation & judgment — Human discretion essential.

Skills that protect you

Investigations — Complex casework.
Community policing — Relationship-based work.
Specialized units — Higher-skill roles.

Frequently asked questions

Will AI replace Police Officers?: A Police Officer carries a 12/100 AI replacement risk (low). AI can already handle report writing; Field response & patrol still needs a person. Of exposed work, ~50% is automation vs 50% augmentation. Capability clock: ~7.1 years (2033). (ReplacedYet AI-Risk Index, 2026 data.)
Is a Police Officer job safe from AI?: Relatively yes. A Police Officer scores 12/100 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 Police Officer'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 Police Officer 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: Public Safety · Methodology · Download the dataset

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