Simon Janssen
Simon Janssen· CTO at HappyNurse · US AI Exposure Map 2026
Production

First-Line Supervisors of Production Workers and AI

Moderate exposureAI score 4/10 · Production
4out of 10
JPE Score
Median salary
$71K
Forecast 2030
+0%
Employment
685K
BLS growth '23–'33
+1%
Trend
stable
Sector
Production

Exposure scores

JPE (Practical Exposure)4/10 — Moderate exposure
Felten AIOE (academic reference)6.5/10
BLS growth projection (2023–2033, 10yr)+1%

AI exposure explained

What does an AI score of 4/10 mean?

Interpretation

Moderate exposure — Parts of this work can be assisted by AI. The role will evolve but not disappear.

First-Line Supervisors of Production Workers has low AI exposure, meaning most tasks require physical presence, interpersonal skills, or tacit knowledge that AI cannot automate in the near term.


Forecast 2030

What changes for First-Line Supervisors of Production Workers?

Modeled employment change by 2030
+0%
Disruption risk: Medium

This model combines BLS Employment Projections (2023–2033 horizon, interpolated to 2030) with an AI disruption factor calibrated for the US labor market (at-will employment, higher labor mobility, stronger AI adoption). A range of +0% means employment for First-Line Supervisors of Production Workers is modeled to grow by 2030. This is a scenario, not a prediction.


Sector context

Production and AI

First-Line Supervisors of Production Workers belongs to the Production sector. This sector has an education level index of 1/4, indicating lower formal education requirements. Occupations in Production with high AI exposure tend to remain relatively stable as the work relies primarily on physical, interpersonal, or contextual skills.


AI tools

Which AI tools are already making an impact?

ChatGPTSight Machine

Career outlook

Low exposure — Leverage AI to enhance your strengths

Direct AI impact is limited, but the world around you is changing. Use AI where it supports your work and keep investing in what makes this occupation uniquely human.


Personal development

Personal development plan

Based on your sector (Production) and AI exposure level, here are three concrete steps to future-proof your career.

Deploy AI quality inspection systems

Machine vision catches defects 10x faster than manual checks

Sight Machine, Cognex
Implement predictive maintenance

Unplanned downtime drops 30-50% with AI monitoring

PTC ThingWorx, Augmentir
Optimize processes with AI analytics

Small efficiency gains compound across millions of units

Sight Machine, Tulip

Related occupations

Similar occupations on the map

Miscellaneous Assemblers and Fabricators
AI 3/10·+0% 2030
Production
Machinists
AI 4/10·+2% 2030
Production
Welders, Cutters, Solderers, and Brazers
AI 3/10·+0% 2030
Production
Home Health and Personal Care Aides
AI 3/10·+7% 2030
Healthcare Support
Retail Salespersons
AI 5/10·-7% 2030
Sales

About this analysis

AI scores are LLM-estimated using the same methodology as the Dutch AI Exposure Map, making scores directly comparable across countries. The Felten AIOE score is shown as an academic reference. Employment and salary data from BLS OEWS May 2024. A high AI score does not automatically mean job loss — Software Developers score 9/10 but BLS projects +17% growth (2023–2033). The 2030 forecast interpolates BLS 10-year projections to a 2030 horizon and adjusts with AI disruption pressure. These are modeled scenarios, not predictions. All data CC BY 4.0.

Full methodology, sources and download →


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