AI Pilots 95% Failure Rate: What MIT’s New Report Teaches Aquaculture

What if the next major leap in aquaculture doesn’t come from the ocean but from the genome? In this week’s episode, we trace the story of genomic sequencing: from Darwin’s first evolutionary trees to the breakthroughs that now let scientists map entire fish genomes in a single day. You’ll learn how falling sequencing costs are opening the door to disease tracing, genetic selection, and smarter breeding programs that could redefine sustainability across aquaculture. For more aquaculture insights head to our Fish n’ Bits blog.

How much does Washington, D.C. actually influence the global seafood industry? After speaking at the National Fisheries Institute’s Leadership Summit, we’re breaking down what happens when seafood meets policy — from tariffs and trade to nutrition and public health. Featuring insights from speakers like Sean Spicer and Elana Natker, this episode looks at how politics, perception, and food policy are shaping seafood’s next chapter, and what the industry can learn from it. For more aquaculture insights head to our Fish n’ Bits blog.

Can New Zealand turn its bold aquaculture growth plan into a $3 billion industry by 2035? In this episode, we dig into the numbers behind the country’s strategy, from premium salmon and mussel exports to the risks of offshore expansion, and look at the political and regulatory roadblocks that could derail momentum. Drawing lessons from Norway, Canada, and Iceland, we explore what it takes for a nation to scale aquaculture without repeating the same missteps. For more aquaculture insights head to our Fish n’ Bits blog.

What does it really mean when headlines say “95% of AI pilots fail”? In this episode, we unpack MIT’s State of AI in Business 2025 report, looking past the hype to see why so many initiatives stall—and where the real success stories are happening. From the GenAI Divide to lessons on internal vs. external builds, and from ROI in back-office operations to parallels with past tech revolutions like the PC and internet, we’ll explore what this all means for seafood and aquaculture companies considering AI. For more aquaculture insights head to our Fish n’ Bits blog.

What does sea lice management have in common with one of the most famous problems in game theory? In this episode, we look at why rising lice levels in Norway reflect the dynamics of the Prisoner’s Dilemma—where individual short-term choices can create long-term harm for the entire industry. We’ll break down the latest data on lice pressure, explain why fragmented treatments are driving reinfestation risk, and explore how coordinated action, better models, and shared incentives can turn the tide. For more aquaculture insights head to our Fish n’ Bits blog.

What happens when strong biology collides with weak markets? In this episode, we break down the Q2 earnings season in salmon farming, where EBIT margins have tightened, prices continue to slide, and producers are facing tough calls on investment, strategy, and survival. From Mowi’s consistency to Bakkafrost’s split results, and from Norway’s political backdrop to Scotland’s biological struggles, we look at who’s weathering the storm and who’s most exposed. Beyond the numbers, we explore the Catch-22 of salmon farming: better fish health leading to oversupply and weaker profits, just as ecological and political pressures intensify. Download the full report here.For more aquaculture insights head to our Fish n’ Bits blog.

What fuels the world’s most powerful AI models isn’t just data, it’s how that data is labeled and given context. In this week’s episode, we take listeners inside the often-overlooked world of data labeling, from Meta’s $14B investment in Scale AI to the billion-dollar rise of Surge AI, and connect the dots to aquaculture. You’ll learn why context-rich data—not just perfect data, is the real driver of better models, and how farms can apply these lessons to turn messy records into predictive intelligence. For more aquaculture insights head to our Fish n’ Bits blog.

How does a disease you can’t see, and often don’t even know is there, cause some of the most expensive losses in salmon farming? In this week’s episode, we examine Cardiomyopathy Syndrome (CMS), a viral heart disease that’s been quietly impacting farms for decades but is now forcing its way into the spotlight. From the biology of Piscine Myocarditis Virus to the real-world costs seen in recent Scottish outbreaks, we explore why CMS is so hard to detect, why it’s not on the official notifiable disease list, and what the latest science says about prevention, from genetics to nutrition. For more aquaculture insights head to our Fish n’ Bits blog.

Why do some salmon fight off sea lice with ease, while others struggle year after year? In this week’s episode, we discuss a groundbreaking new study from Nofima that explores what Pacific salmon, especially coho, can teach us about natural sea lice resistance. You’ll learn how cutting-edge techniques like AI-powered histology, proteomics, and spatial transcriptomics came together to paint a full biological picture – mapping the immune response from tissue structure to gene activation. Plus, hear from lead researcher Dr. Lene Sveen as she shares what these findings could mean for future treatments and breeding programs.For more aquaculture insights head to our Fish n’ Bits blog.

What does it actually take to build an AI model that matters, not just for headlines, but for real-world decisions in aquaculture? In this week’s episode, we explore the evolving role of artificial intelligence in fish health prediction and dive into Manolin’s work on pancreas disease modeling. From the explosive growth of global AI to the quiet (but powerful) momentum inside aquaculture, we unpack why “useful” is becoming the most important metric, and how aquaculture is finally stepping into the AI era.For more aquaculture insights head to our Fish n’ Bits blog.