The Next AI Advantage in Healthcare Starts With Clean Data | Pablo Perea at GoHub Ventures, BOAC #60

What does healthcare AI look like 12, 24 or 36 months before it reaches the mainstream?Pablo, partner at GoHub Ventures, joins Jared to explain how an early-stage investor thinks about the next generation of digital health companies. GoHub is investing around six to ten companies a year, and Pablo says roughly 80% of the fund is set to focus on digital health.But more AI does not necessarily mean better healthcare technology.Pablo explains why many horizontal AI products look increasingly similar, why highly vertical solutions can become difficult to scale, and why he believes AI-enabled services could offer a more compelling model for private healthcare: using AI for leverage while developing enough depth to understand how the clinic actually operates.They also explore the infrastructure underneath successful AI adoption. A clinic can connect a tool to its systems quickly, but if its data, workflows and operating procedures are not ready, the promised efficiency can disappear into hidden implementation and verification costs.The conversation then turns to how investors make decisions. Pablo shares how GoHub uses customer conversations, technical advisers, pattern recognition and market signals to form conviction, and why investing at pre-seed often means evaluating the people behind a company before there is enough technology to evaluate.Finally, they look ahead to the next 12 months: data readiness, operational efficiency and patient-facing workflows are areas Pablo expects to keep accelerating, while clinical applications will continue to move at different speeds depending on regulation and the underlying medical problem.A conversation about healthcare AI after the hype: what has defensibility, what creates real value inside a clinic, and what investors believe is coming next.