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The EMC Index, which tracks how people think and feel about their jobs, climbed five points in February, matching the record high set in July 2024.

February 18, 2025

Employee sentiment rebounded in February

Employee sentiment rebounded in February, gaining 5 points to match a record high set in July 2024. Two sectors—retail and wholesale trade, and information—hit new record highs.
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Diagram depicting the structure of ADP skills ontology
Diagram depicting the structure of ADP skills ontology
AI/ML Skills

February 6, 2025

What’s in a name?

by Tim Decker

If it’s a job title, a lot. We built a tool that plumbs the deep reservoir of skills connected to thousands of job titles.
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Chart showing that workers in Latin America are more likely to think that AI will help them in the workplace than in other regions.
Chart showing that workers in Latin America are more likely to think that AI will help them in the workplace than in other regions.
Worker sentiment Workforce development AI/ML Demographic trends

June 10, 2024

Most workers think AI will affect their jobs. They disagree on how.

by Ben Hanowell • Nela Richardson, Ph.D.

The ADP Research Institute survey asked nearly 35,000 private-sector workers in 18 countries what role they think AI will play in their work over the next few years.
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Worker sentiment AI/ML

June 10, 2024

Linking generative AI exposure to worker sentiment: It’s complicated

by Ben Hanowell

We use a global survey to examine whether remote workers in industries highly-exposed to generative AI are nervous about it.
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Architecture of a transformer built by ADP Research Institute that predicts wage percentiles from job title. Model not used in any ADP product.
Architecture of a transformer built by ADP Research Institute that predicts wage percentiles from job title. Model not used in any ADP product.
Data fluency AI/ML

June 29, 2023

When using AI to predict pay, context matters

by Tim Decker • Ben Hanowell

We built an algorithm to predict wages from job titles. Our findings reveal the promise and pitfalls of artificial intelligence as a way to study the labor market.
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