E233: The Diagnostic Room: The AI Capability Problem Pharma Hasn't Named

<p>In this solo episode of AI For Pharma Growth, Dr Andree Bates explores the AI capability problem pharma has not properly named: training that works in the room, but fails to hold inside the organisation.</p><p>Dr Andree explains why one-off workshops, generic AI fluency programmes and broad learning platforms are not enough. They may teach people what AI is, what it can do and where it can fail, but they rarely teach the exact workflows, judgement calls and regulatory context people need for their own roles.</p><p>The episode looks at why AI capability fades over time. Some people leave training and build valuable new workflows, while others forget how to apply what they learned within weeks or months. In pharma, that matters because many AI use cases depend on cognitive, accuracy-based judgement: deciding whether a generated summary faithfully represents a source, whether a claim is substantiated, or whether an output can safely enter a regulated workflow.</p><p>Dr Andree also explains why generic training can create risk. If usage rises faster than judgement, teams may become more confident with AI without becoming more capable in the workflows where mistakes carry regulatory, compliance or patient safety consequences.</p><p>The key message is clear: AI capability needs to be maintained, role-specific and grounded in pharma reality. Training once, or training generically, is not a capability plan.</p><p>Topics Covered</p><ul><li><p>Why AI training often fails to hold</p></li><li><p>The difference between awareness and capability</p></li><li><p>Why generic AI fluency is not enough</p></li><li><p>Role-specific AI workflows in pharma</p></li><li><p>Skill decay and why 90 days matters</p></li><li><p>Cognitive judgement and regulatory risk</p></li><li><p>Why confidence can outpace competence</p></li><li><p>Shadow AI and unmanaged tool use</p></li><li><p>What real AI capability support must include</p></li><li><p>The Pharma AI Enablement Institute</p></li></ul><p>The <strong>Pharma AI Enablement Institute</strong> is the structure this episode describes.</p><p>Foundations everyone starts with, because the regulated reality is common. </p><p>Then tracks that split by function - every function, from discovery and clinical through regulatory, safety, medical affairs, market access, manufacturing and commercial, up to leadership. </p><p>Monthly live office hours with Dr Andree Bates. </p><p>Prompt libraries maintained as the models change. </p><p>Per-person rec