The Warriors' practice facility has cameras that record every shot by each player. This data provides hyper-specific feedback on miss tendencies (left/right, long/short) and shot arc, enabling coaches to offer highly tailored development advice.

The speaker regrets not using AI to guide a physical exam of his son. A key diagnostic breakthrough occurred when a doctor found a specific point of pain on his son's abdomen. This suggests a powerful, untapped use case for AI in helping patients or caregivers identify crucial physical symptoms that might otherwise be missed.

Contrary to expectations, professions that are typically slow to adopt new technology (medicine, law) are showing massive enthusiasm for AI. This is because it directly addresses their core need to reason with and manage large volumes of unstructured data, improving their daily work.

The next evolution in personalized medicine will be interoperability between personal and clinical AIs. A patient's AI, rich with daily context, will interface with their doctor's AI, trained on clinical data, to create a shared understanding before the human consultation begins.

General Catalyst's CEO highlights a core flaw in healthcare: insurance providers don't reimburse for longevity or preventative care because customers frequently switch plans, preventing insurers from capturing long-term ROI. The first company to solve this misalignment and make longevity "financeable" will unlock a massive market.

An effective AI strategy in healthcare is not limited to consumer-facing assistants. A critical focus is building tools to augment the clinicians themselves. An AI 'assistant' for doctors to surface information and guide decisions scales expertise and improves care quality from the inside out.

The value of a personal AI coach isn't just tracking workouts, but aggregating and interpreting disparate data types—from medical imaging and lab results to wearable data and nutrition plans—that human experts often struggle to connect.

Chronic disease patients face a cascade of interconnected problems: pre-authorizations, pharmacy stockouts, and incomprehensible insurance rules. AI's potential lies in acting as an intelligent agent to navigate this complex, fragmented system on behalf of the patient, reducing waste and improving outcomes.

While doctors focused on the immediate, successful treatment, the speaker used AI to research and plan for the low-probability but high-impact event of a cancer relapse. This involved proactively identifying advanced diagnostics (ctDNA) and compiling a list of relevant clinical trials to act on immediately if needed.