Skip to main content
A/KAI Kills What?

Dossier #108 // technical exposure assessment

High exposure

Wind Energy Operations Managers

Category: General · SOC 11-9199.09 · Industry: Cross-industry

AI Exposure (AI-estimated)

n/a
-

Not assessed

Last updated

unknown

sources: BLS OES (approx) · O*NET

Evidence

0 sources

16 core tasks shown

Verdict

Wind Energy Operations Managers High exposure: 5 of 16 core tasks show high task automation potential : exposure 50/100 (not assessed).

No model has published evidence mapped to this occupation yet - the score comes from generic task assessment.

Share this verdict:

Score breakdown

Why this score?

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

AI Exposure (composite)n/a/100

Methodology - · score - · input hash -

AI capability exposuren/a/100

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

Task automation potentialn/a/100

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

Observed AI adoptionn/a/100

Evidence that AI is actually being used for this work.

Labour-market signaln/a/100

Observed changes in postings, employment or earnings.

Evidence strengthn/a/100

Quantity and source quality of the evidence behind the score.

0 evidence item(s) contribute. Calculated -.

Overview

Manage wind field operations, including personnel, maintenance activities, financial activities, and planning.

Employment

-

approx. BLS OES

Median wage

-

approx. BLS OES

Tasks tracked

16

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.

Evidence

Evidence trail

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

No occupation-specific evidence has been mapped yet. This occupation is scored from generic task assessment only - a genuinely weaker basis, and the reason its score is marked low-confidence.

Historical trend

Exposure over time

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

No series yet

This chart fills in once the first snapshot is recorded.

Reconstruction, not measurement. 0 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

No events match this filter yet. New verified events appear here as analysis completes.

Related

Related Occupations

Occupations sharing major SOC group (11) with Wind Energy Operations Managers.

faq

Frequently Asked Questions

Common questions regarding Wind Energy Operations Managers and AI exposure.

Will AI replace Wind Energy Operations Managers?

Current AI models show an exposure score of 50/100 for Wind Energy Operations Managers. 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 Wind Energy Operations Managers have the highest AI exposure?

The most exposed tasks for Wind Energy Operations Managers include "Monitor and maintain records of daily facility operations." (85% exposure) and "Track and maintain records for wind operations, such as site performance, downtime events, parts usage, or substation e…" (80% exposure).

What aspects of Wind Energy Operations Managers can AI not do yet?

Tasks with the lowest AI exposure for Wind Energy Operations Managers include "Develop relationships and communicate with customers, site managers, developers, land owners, authorities, utility repr…" (15% exposure) and "Provide technical support to wind field customers, employees, or subcontractors." (20% exposure). These responsibilities typically require physical dexterity, licensed human accountability, or complex interpersonal navigation.

Embed Wind Energy Operations Managers ScoreWidget

Embed this interactive AI exposure card into your article, research, or dashboard.

Disruption Alerts

Track AI exposure changes for Wind Energy Operations Managers

We monitor frontier AI model releases and benchmark updates. Enter your email for alerts when this occupation's exposure changes. No spam, ever.

By submitting, you consent to receive career disruption updates. We never share your data. Read our Privacy Policy.

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.