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A/KAI Kills What?

Dossier #30 // technical exposure assessment

High exposure Estimates vary (±15%)

Human Resources Specialists

Category: Business & financial · SOC 13-1071.00 · Industry: Administration

AI Exposure (AI-estimated)

57/100
0.0

Moderate exposure

Last updated

3 Oct 2026

19 hours ago · sources: BLS OES (approx) · O*NET

Evidence

3 sources

19 core tasks shown · 7 secondary hidden

Verdict

Human Resources Specialists High exposure: 11 of 19 core tasks show high task automation potential : exposure 57/100 (moderate exposure).

2 models with published evidence against this job. Strongest: GPT-4o (92/100 capability).

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Score breakdown

Why this score?

Every component is stored with the score row and can be recomputed from the evidence table.

AI Exposure (composite)57/100

Methodology 2026-09-a · score v1.0 · input hash 1ca4a815dc6338b4

AI capability exposure73/100

Strength of current models on the capabilities this job's tasks require.

Task automation potential66/100

Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.

Observed AI adoption50/100

Evidence that AI is actually being used for this work.

Labour-market signal0/100

Observed changes in postings, employment or earnings.

Evidence strength54/100

Quantity and source quality of the evidence behind the score.

3 evidence item(s) contribute. Calculated 19 hours ago. 3 Oct 2026 UTC.

Overview

Recruit, screen, interview, or place individuals within an organization. May perform other activities in multiple human resources areas.

Employment

≈700,000

approx. BLS OES

Median wage

≈$67,000

approx. BLS OES

Tasks tracked

26

linked to this occupation

Employment and wage values are approximate reference figures from the BLS Occupational Employment and Wage Statistics programme, stored with an approximation flag. Verify against the O*NET record and BLS before quoting them.

Tasks

Task-level automation exposure

Core tasks only. Exposure describes how much of the task output current AI can produce or substantially assist - not whether the task disappears. Secondary shared-baseline edges are hidden until per-occupation curation is complete.

Killers

Which models affect this job most

Ranked by strongest demonstrated capability. Task and evidence counts come from the attributed evidence trail below.

  1. 01
    GPT-4o92/100

    OpenAI · 1 evidence item

  2. 02

    OpenAI · 1 evidence item

Evidence

Evidence trail

3 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.

  1. model releaseincreasesconfidence 94/100 · magnitude 886 Nov 2023

    Whisper large-v3 provides open-weight multilingual speech recognition, allowing transcription to be run at scale for the cost of compute alone.

    The clearest direct capability match in this index: manual transcription and captioning are technically substitutable today. Adoption is therefore the binding constraint, not capability.

    Source: OpenAI via Hugging Face Hub · Updated 6 Nov 2023

  2. model releaseincreasesconfidence 90/100 · magnitude 6213 May 2024

    GPT-4o added a single model handling text, audio and image, enabling sub-second conversational voice — the capability precondition for substituting routine telephone work.

    Capability event, not an adoption or labour-market event. It raises the capability component for voice-heavy tasks only.

    Source: OpenAI · Updated 13 May 2024

  3. adoptionincreasesconfidence 52/100 · magnitude 5013 Jul 2023

    A meta-analysis of early controlled studies reported an average productivity increase of about 66% across supported tasks, with wide variance by task type.

    Useful directionally but the average is dominated by small short-duration studies on well-specified tasks. Weighted low. The variance, not the mean, is the useful finding.

    Source: Nielsen Norman Group — AI Improves Employee Productivity by 66% (meta-analysis) · Updated 13 Jul 2023

Historical trend

Exposure over time

Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.

Human Resources Specialists AI exposure backcast, quarterly from 2021Reconstructed exposure series with 23 checkpoints. Current value 57 out of 100. 5 observed snapshots recorded since tracking began.1000502021-01-012026-07-010639
Score · 23 points · 2021-01-01 to 2026-07-01

Reconstruction, not measurement. 5 observed daily snapshot(s) exist for this occupation; the earlier part of the curve is derived by applying the current methodology to the model releases and published evidence available at each past date.

Recent events

Signals affecting this occupation

  1. New model
    IMPACT 62

    GPT-4o introduced real-time speech-to-speech conversation

    GPT-4o added a single model handling text, audio and image, enabling sub-second conversational voice — the capability precondition for substituting routine telephone work.

    Frontier releaseConfidence:90 · highVerified by AIKillsWhat
  2. New model
    IMPACT 88

    Whisper large-v3 made accurate transcription freely self-hostable

    Whisper large-v3 provides open-weight multilingual speech recognition, allowing transcription to be run at scale for the cost of compute alone.

    Frontier releaseConfidence:94 · highVerified by AIKillsWhat
  3. AI adoption signal
    IMPACT 50

    Meta-analysis of early AI productivity studies reports large average gains

    A meta-analysis of early controlled studies reported an average productivity increase of about 66% across supported tasks, with wide variance by task type.

    Enterprise deploymentConfidence:52 · lowVerified by AIKillsWhat

Related

Related Occupations

Occupations sharing major SOC group (13) with Human Resources Specialists.

faq

Frequently Asked Questions

Common questions regarding Human Resources Specialists and AI exposure.

Will AI replace Human Resources Specialists?

Current AI models show an exposure score of 57/100 for Human Resources Specialists. This measures technical capability to assist or automate specific tasks rather than predicted immediate job loss. Moderate exposure reflects assistance in routine information-handling while core responsibilities require human judgment.

Which tasks in Human Resources Specialists have the highest AI exposure?

The most exposed tasks for Human Resources Specialists include "Inform job applicants of details such as duties and responsibilities, compensation, benefits, schedules, working condit…" (85% exposure) and "Review employment applications and job orders to match applicants with job requirements." (85% exposure).

What aspects of Human Resources Specialists can AI not do yet?

Tasks with the lowest AI exposure for Human Resources Specialists include "Address employee relations issues, such as harassment allegations, work complaints, or other employee concerns." (20% exposure) and "Advise management on organizing, preparing, or implementing recruiting or retention programs." (30% exposure). These responsibilities typically require physical dexterity, licensed human accountability, or complex interpersonal navigation.

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Notice: All ratings shown are AI-estimated technical exposure scores measuring technical capabilities across O*NET task statements, not predicted job loss. Contains information from O*NET 31.0 by the U.S. Department of Labor, ETA, used under CC BY 4.0.