Western pharma firms strategically license assets from Chinese biotechs while leaving China rights with the local partner. This leverages China's faster, cheaper clinical development, as the partner tests the molecule in new indications, generating valuable data that de-risks the asset for the global firm at no extra cost.
Big Pharma's strategy differs by region: they are willing to acquire innovative US biotechs outright but prefer to only license assets from Chinese companies. This is because Chinese assets can be secured at significantly lower valuations without the complexities of a full M&A transaction, creating an exit dilemma for VCs in China.
Large pharma companies are discovering that implementing AI to solve one part of the drug development workflow, like target discovery, creates new bottlenecks downstream. The subsequent, non-optimized stages become overwhelmed, highlighting the need for a holistic, fully choreographed approach to AI adoption across the entire R&D pipeline.
China's biotech infrastructure enables companies to move from discovery to initial human proof-of-concept in under two years for less than $2 million per molecule. This rapid, low-cost development, particularly in new modalities like RNAi, presents a significant competitive threat that many Western innovators underestimate.
A new biotech model attracting global VCs is emerging in Japan. It pairs the country's high-quality, surprisingly low-cost R&D talent with US management and venture funding. The Japanese government is accelerating this trend with powerful incentives, like a non-dilutive "two-for-one" matching grant program for accredited investors.
Tech-focused venture firms are finding their AI investment thesis fails in biotech. Despite massive paper profits in tech AI, their biotech AI portfolios show negative returns. This is because AI has yet to solve the complex biological bottlenecks of drug development, particularly in clinical trials, which remain slow and costly.