Can America Win The AI Biotech Race Against China? | Lada Nuzhna & Elliot Hershberg
a16z Podcast
Nov 14
Can America Win The AI Biotech Race Against China? | Lada Nuzhna & Elliot Hershberg
Can America Win The AI Biotech Race Against China? | Lada Nuzhna & Elliot Hershberg

a16z Podcast
Nov 14
The biotech industry stands at a crossroads, where unprecedented scientific potential collides with systemic inefficiencies that drive costs into the billions and slow life-saving innovation. As global competition intensifies, particularly from China, American biotech must confront not just technological gaps but deep-rooted structural and regulatory challenges that threaten its long-standing dominance.
Despite rapid scientific advances, biotech development remains crippled by soaring costs—now exceeding $2.5 billion per approved drug—driven more by regulatory delays and outdated infrastructure than technical limitations. The U.S. is losing ground to China, where trials are faster and cheaper, forcing a strategic shift toward breakthrough modalities rather than incremental improvements. AI holds promise but currently focuses on early-stage discovery, failing to address high clinical failure rates. True transformation will require overcoming the 'three horsemen' of poor biology, regulatory burden, and limited molecular design. Meanwhile, personalized medicine, mRNA vaccines, and GLP-1 therapies are reshaping treatment paradigms, yet progress on aging and chronic diseases is stalled by a lack of biomarkers and incentives. The future lies in building medicines that demand entirely new manufacturing tools—platforms so advanced they don’t yet exist—positioning AI and synthetic biology as foundational enablers of the next biotech revolution.
08:48
08:48
Many biotech companies are conducting first-in-human trials in Australia or Asia due to U.S. regulatory barriers.
20:43
20:43
Chinese biotech can quickly replicate new mechanisms, reducing incentive to share science
23:53
23:53
AI must bridge the gap in clinical trial success, not just pre-clinical prediction
53:06
53:06
Successful biotech drugs often stem from contrarian indications or new modalities, not novel targets.
56:17
56:17
New modalities offer great opportunities for chronic multifactorial diseases.