The Darwin Factor | Survival and Synergy in the AI Ecosystem

Healthcare AI is moving into a more competitive phase, and Brenton Fargnoli MD asked Ada Glover, Will Gordon MD, Terrence Chen PhD and Eric Podradchik what will separate durable solutions from the growing number of pilots, point products and AI agents entering the market.

Glover sees the clearest traction in operational work with a defined job to be done, such as intake, referrals, prior authorization, and value-based care workflows, where reliability and return on investment are easier to measure. Gordon added a practical test for scalability: the strongest tools often spread because they save time without requiring clinicians to change behavior or receive extensive training.

Chen drew lessons from more than a decade of clinical AI in imaging. Accuracy alone is not clinical value. AI becomes useful when it is embedded deeply enough in the workflow to influence how data is acquired, interpreted and acted on. Podradchik made a similar point from the health system side, noting that revenue cycle applications are producing some of the clearest financial returns and helping fund other clinical AI priorities.

The conversation ultimately came back to defensibility. Solutions closest to the creation of clinical data, clinical action or a hard-to-replicate workflow may be best positioned to survive as EHR companies, hyperscalers and startups increasingly compete on the same terrain.