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Perceptions of Artificial Intelligence in the Life Sciences: Evolving Trends in 2026
Publication Date: April 30, 2026
Tags: AI, Artificial Intelligence, ChatGPT, Life Sciences
Pages: 80
SKU: 26-012BIO-13
How has AI reshaped life science workflows in the past year? Which AI solutions have emerged as indispensable to researchers and which have fallen short? Do scientists genuinely trust AI-generated results, and how are those perceptions shifting?
The 2026 edition of Perceptions of Artificial Intelligence in the Life Sciences delivers a definitive read on where life science professionals stand today. Drawing on responses from n=443 researchers across North America, Europe, and APAC, this report tracks how sentiment, adoption, and usage patterns have evolved since the 2023 and 2025 studies to provide your team the benchmarks and market intelligence needed to act with confidence.
This year’s edition explores new attitudinal dimensions, including trust, transparency, and regulatory readiness, and introduces the gap between organizational desire to implement AI and current deployment. Whether your organization is building AI-enabled products, evaluating go-to-market strategy, or tracking how the competitive landscape is shifting, this report provides the insights to move faster and smarter.
The 2026 edition is a snapshot of current perceptions towards AI and will focus on the following objectives:
- Gather the general sentiment towards adoption of AI into current workflows
- Understand the applications for which AI is most commonly used and where there is an unmet need for AI
- Understand AI workflows, pain points with current AI, and how AI companies can better meet researcher needs
- Identify key organizations developing AI or actively employing AI in their workflows
- Evaluate how AI has impacted purchasing behavior and hiring behavior
- Identify trends in AI sentiment, usage, and satisfaction since 2023 and 2025
BioInformatics designed an online quantitative survey to address the objectives.
The survey this report was based on was fielded to n=443 respondents, members of the Science Advisory Board (SAB) — a segment of the scientific community with a demonstrated willingness to participate in market research activities.
For further details and to purchase directly, please contact us.
Table of Contents
- Study Overview and Objectives
- Executive Summary
- Demographics
- Trends in AI Adoption in the Life Sciences
- Perceptions of AI
- Commercial Providers of AI Solutions
- Current Workflow Integration
- Purchase Intent and Adoption Drivers
- Methodology
- About BioInformatics
- Appendix

