The market for new antibiotics isn't just slow—it's officially hit a 'point of no return' where it's bound to collapse.
March 26, 2026
Original Paper
Modeling the Antibiotic Collapse: A Theory of Networked Failure via Stochastic Mean-Field Analysis
SSRN · 6196038
The Takeaway
Using physics-based modeling, this paper shows that the antibiotic pipeline has hit a 'transcritical bifurcation.' This means the system is no longer just in a slump that can be fixed with subsidies, but has entered a structural state of 'networked failure' where innovation cannot be maintained.
From the abstract
The collapse of antibiotic development exemplifies critical transitions in networked innovation systems, where heterogeneous agents interact through asymmetric relationships. Existing approaches either capture agent heterogeneity through simulation but lack analytical tractability, as in agent-based models, or provide analytical results but oversimplify network structure and agent diversity, as in homogeneous mean-field models. This leaves a methodological gap for systems requiring both structur