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.
Category: Business & financial · SOC 13-1071.00 · Industry: Administration
Moderate exposure
3 Oct 2026
19 hours ago · sources: BLS OES (approx) · O*NET
3 sources
19 core tasks shown · 7 secondary hidden
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).
Score breakdown
Every component is stored with the score row and can be recomputed from the evidence table.
Methodology 2026-09-a · score v1.0 · input hash 1ca4a815dc6338b4
Strength of current models on the capabilities this job's tasks require.
Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.
Evidence that AI is actually being used for this work.
Observed changes in postings, employment or earnings.
Quantity and source quality of the evidence behind the score.
3 evidence item(s) contribute. Calculated 19 hours ago. 3 Oct 2026 UTC.
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
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.
core task · importance 4.7/5
core task · importance 4.5/5
core task · importance 4.4/5
core task · importance 4.3/5
core task · importance 4.3/5
core task · importance 4.2/5
core task · importance 4.2/5
core task · importance 4.2/5
core task · importance 4.1/5
core task · importance 4/5
core task · importance 4/5
core task · importance 3.9/5
core task · importance 3.9/5
core task · importance 3.9/5
core task · importance 3.9/5
core task · importance 3.9/5
core task · importance 3.8/5
core task · importance 3.7/5
core task · importance 3.7/5
Killers
Ranked by strongest demonstrated capability. Task and evidence counts come from the attributed evidence trail below.
OpenAI · 1 evidence item
OpenAI · 1 evidence item
Evidence
3 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.
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
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
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
Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.
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
GPT-4o added a single model handling text, audio and image, enabling sub-second conversational voice — the capability precondition for substituting routine telephone work.
Whisper large-v3 provides open-weight multilingual speech recognition, allowing transcription to be run at scale for the cost of compute alone.
A meta-analysis of early controlled studies reported an average productivity increase of about 66% across supported tasks, with wide variance by task type.
Related
Occupations sharing major SOC group (13) with Human Resources Specialists.
faq
Common questions regarding Human Resources Specialists and AI exposure.
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.
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).
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.