
Episode #15
Stop Looking For Problems AI Can Solve | Jon Poulter, Data and AI Literacy Academy
AI can do almost anything. But that doesn't mean it should.In Episode 15 of the Future of EdTech Podcast, Emil Reisser-Weston speaks with Jon Poulter, Director of AI Transformation at the Data and AI Literacy Academy, about why organisations should stop starting with AI and start with the problem.Jon explains his “task then tool” approach to AI transformation, why qualitative data is becoming incredibly valuable, how to put the right human in the right loop, and why learning should be measured by business outcomes rather than completions.They also explore AI adoption, Copilot, vibe coding, job displacement and why being able to generate learning with AI doesn't automatically make someone a learning designer.AI can do anything. The real question is: what should it do?Jon Poulter: https://www.linkedin.com/in/jon-md-poulter/https://www.dl-academy.comChapters00:00 Introduction to Jon Poulter01:19 Why AI Transformation Should Start With the Problem01:36 Task First, Tool Second02:49 Understanding What Employees Actually Need04:27 AI Can Do Anything. That's the Problem05:44 Why Giving Everyone AI Isn't Transformation06:17 The Hidden Risks of Copilot08:20 Use the Tools You Already Have10:51 The Problem-First Approach12:08 Using Data to Find the Real Problems14:28 Unlocking the Value of Qualitative Data17:14 Bridging Technical and Non-Technical Teams19:40 Measuring the Business Impact of Learning22:57 The Right Human in the Right Loop25:33 Why Experts Get Things Wrong Too28:17 Where AI Should Make Decisions30:07 Breaking the Quality, Cost and Speed Trade-Off31:29 Will AI Lead to Job Losses?34:33 Transforming Organisations, Not Just Processes35:35 Why Curiosity and Confidence Matter39:02 The Problem With Too Many AI Ideas41:34 Can Anyone Create Good Learning With AI?43:35 Data and AI Literacy Academy44:04 Outro

