“How AI is Affecting Farmed Aquatic Animals. Part 2: Deployment” by Rethink Priorities, Sophie Williamson, Hannah_🔸

AI in aquaculture research at Rethink Priorities Rethink Priorities’ How AI is affecting farmed aquatic animals is a three-part series that examines AI technologies being developed to address challenges in the aquaculture industry. As global aquaculture faces economic and technical constraints, this series examines whether and how the industry is turning to AI solutions to facilitate expansion. The series evaluates the innovation, deployment, and animal welfare impacts of these technologies to help animal advocates and funders identify which developments should be endorsed and what actions should be taken to prevent increased animal suffering. For all queries, please contact [email protected]. Introduction Artificial intelligence (AI) introduces new capabilities to animal agriculture that could alter production methods, economic structures, and animal welfare outcomes. Responding strategically requires an understanding of how quickly such changes will unfold, whether they will benefit or harm animal welfare, and what interventions will remain relevant. In this three-part series, we take a close look at how AI will be used over the next five years in aquaculture, which collectively farms hundreds of billions of animals each year for food. Part 2: Deployment This report analyzes the current state of AI deployment in aquaculture, examining where AI-aquaculture tools are [...] --- Outline: (00:18) Introduction (00:52) Part 2: Deployment (02:06) Executive Summary (04:43) Background (05:24) Scope (08:28) Results (08:31) Three-Quarters of Companies in Our Database Specialize in Aquaculture (09:26) Europe Leads Company Presence, Followed by Latin America and Southeast Asia (11:04) Aquaculture AI Flows Predominantly From Northern Europe into Latin America and the Rest of Europe, With Innovation in Southeast Asia Largely Staying Within Southeast Asia (12:48) Norway and Scotland Are the Two Largest Net Exporters of Aquaculture AI by Absolute Net Flow. (14:42) Salmon and Shrimp Have the Largest AI Deployment Footprints (16:56) Salmon (18:49) Shrimp (21:46) Experts Suggest Biomass Tools Lead On-Farm AI Deployment in Salmon, While Feed Optimization Dominates in Shrimp (25:24) The Primary Barrier to AI Adoption is an Unclear Return on Investment (29:37) Government Action Contributes to Shaping AI Development and Adoption in Aquaculture (31:48) Experts Predict That AI Tool Uptake Will Increase Rapidly in the Short-Term (33:55) Conclusions (35:42) Acknowledgements (36:53) Appendix (36:56) Definitions (37:41) Expert Profiles (38:09) Claude-Review of Academic Papers on Barriers to Adoption of AI in Aquaculture (40:03) Ways in Which We Could Be Wrong (40:10) How Our Database Could Be Incomplete or Inaccurate (45:20) Regional Groupings (46:46) Bibliography The original text contained 7 footnotes which were omitted from this narration. --- First published: June 29th, 2026 Source: --- Narrated by TYPE III AUDIO . --- Images from the article: Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts , or another podcast app.