How AI Could Help Combat Antibiotic Resistance

AI-powered diagnostics are achieving over 99% accuracy in identifying antibiotic-resistant infections in hours rather than days, addressing a critical public health crisis that causes over 1 million deaths annually and is projected to reach 40 million by 2050. Beyond diagnostics, AI is accelerating drug discovery—Google DeepMind solved a decade-long resistance mechanism puzzle in 48 hours—but pharmaceutical innovation is hampered by broken economic models requiring new government payment structures to incentivize development. IT organizations must prepare infrastructure and security protocols to support AI diagnostic systems deployment, particularly in resource-constrained regions where the resistance crisis is most severe.