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Artificial Intelligence in EAPs: A Global Survey of EAPA Members & Others (JEA article, Detail Report, and Slides)

Authors
Attridge, Mark
Hughes, Daniel
Advisor
Date
2025
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Book title
Publisher
Employee Assistance Professionals Association (EAPA)
Peer Reviewed
Type
Article
Report
Poster/Presentation
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Other Titles
Artificial Intelligence in EAP Survey Study Detailed Results: Employee Assistance Professionals Association (EAPA) Members vs. Other Global Sample
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Abstract

The potential transformative impact of Artificial Intelligence (AI) on science, education, work and society is critical to the future of employee assistance. Our survey study was designed to better understand where, how and why EAPs are employing AI at their organizations and vendor businesses. We wanted to understand what is working, what is not working and why. Additionally, we asked about ethical and operational concerns. To this end, we conducted an online self-report survey. With the support of the Employee Assistance Professionals Association (EAPA) and 7 other major professional groups in the industry, the researchers issued an international call for participation. We collected data from 222 survey respondents including a mix of embedded internal staff, external vendor and hybrid model programs situated in a diverse range of workplaces and practice settings. Voices of EAPs were represented in the study from Argentina, Australia, Belgium, Bulgaria, Canada, England, Germany, Greece, Hong Kong, India, Japan, Luxemburg, Malaysia, New Zealand, Nigeria, Poland, United Kingdom, United States, Slovenia, South Africa, South Korea, and Taiwan. Subgroup of 100 respondents who were members of EAPA. We explored differences in key results among the EAPA sample versus the other 122 respondents. There is a widespread belief that AI will have a transformative impact on the EA field. Interestingly, our survey also indicates a low level of current AI use within the EAP community. Our respondents reported a diverse range of potential operational and clinical applications. In conclusion, the survey sample formed three naturalistic groups: The Connected (37%); The Cautious (45%) and the Critical (18%). with non EAPA members being less favorably disposed and connected to AI technology. However, EAPA members were less connected to and more critical of AI applications when matched to the comparison group. This difference in tonal disposition remains to be understood. There are some differences between the two groups in age, length of EA service and CEAP status.

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Table of Contents
Table of Contents 1) Introduction; 2) Study Methodology and Sample 3) Study Results 4) Part 1 – Is AI important to Future of EAP 5) Part 2 – AI Use at EAPs 6) Part 3 – Advantages and Disadvantages of AI for EAPs 7) Part 4 – Emotional Tone
Description
JEA summary article (8 pages). Detail report (19 pages). Webinar slide deck (47 slides).
Series/Report No.
AI in Employee Assistance Delivery: 2025 Global Survey of Industry Professionals; Report No. 7 and 8
Sponsors
Attridge Consulting, Inc. Mount Sinai Medical Center APEAR - Asia Pacific Employee Assistance Roundtable EAPA - Employee Assistance Professionals Association EAPAA - Employee Assistance Professionals Association of Australasia EAPA-SA - Employee Assistance Professionals Association of South Africa EAR - Employee Assistance Roundtable EAEF - Employee Assistance European Forum IAEAPE - International Association Employee Assistance Professionals in Education NBC - National Behavioral Consortium
Rights/Terms
Attribution-NonCommercial-NoDerivatives 4.0 International
Citation
Attridge, M., & Hughes, D. (2025). Artificial intelligence in EAPs: A global survey of EAPA members & others. Journal of Employee Assistance, 55(2), 14-21. Attridge, M. (2025, September 17). The New Frontier of Artificial Intelligence in EAP: Highlights of a Global Survey. Presented virtually at the summer meeting of Employee Assistance Professionals Association - Wisconsin Chapter, Milwaukee, USA. Slides (41).
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