Results of the 2025 AMWA Generative AI Member Survey

Authors

  • Dominic De Bellis, PhD, ACRP-CP Chair of the AMWA AI Task Force
  • J. Kelly Byram, MS, MBA, ELS Board Liaison to the AI Task Force, Duke City Consulting LLC, Albuquerque, NM
  • Kimberly Jinnett, PhD GoodWorkRegistry, Moraga, CA
  • Mario Morel Foremost Medical Communications, Toronto, Canada
  • Lisa Chamberlain James, PhD, FRSM Trilogy Writing & Consulting, Cambridge, United Kingdom
  • Lauren Coles, REHS, RN, MA Medline Industries, Charlotte, NC
  • Pallabi De, PhD Synterex, Inc., Dedham, MA
  • Ibukun Fowe, MD, PhD Johnson & Johnson MedTech, Irvine, CA
  • Brian Geldziler, PhD, MS Regeneron, Tarrytown, NY
  • Jennifer Nepo, MS Medparency LLC, Armonk, NY
  • Ravi Ramachandran, PhD Peer AI, Boston, MA
  • Angela Russell Winnier, PhD Pfizer, Spring, TX

DOI:

https://doi.org/10.55752/amwa.2026.528

Abstract

Generative artificial intelligence (GenAI) is rapidly transforming medical communication, offering new tools for content creation, summarization, and editing. Although GenAI-assisted writing presents both opportunities and risks, data on how medical communicators are adopting these technologies are limited. To address this limitation, AMWA formed an AI Task Force in 2025 and conducted a survey to understand the current knowledge, experience, and needs of the AMWA membership with respect to GenAI technology. This article presents the survey’s findings, first shared at AMWA’s 2025 Medical Writing & Communication Conference in November. The responses will inform recommendations by the AI Task Force to the Board of Directors on initiatives to support members’ understanding and use of GenAI in medical communication.

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Published

2026-03-19

How to Cite

1.
De Bellis D, Byram K, Jinnett K, et al. Results of the 2025 AMWA Generative AI Member Survey. AMWA. 2026;41(1). doi:10.55752/amwa.2026.528

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