Antibiotic resistance plagues healthcare systems worldwide, with the World Health Organization warning that drug-resistant infections could claim 40 million lives by 2050. Traditional diagnostics are too slow for critical cases like sepsis, but AI-powered alternatives offer lightning-fast accuracy.

Ara Darzi, a pioneer in this field, argues that AI diagnostics can reduce the guesswork and save patients' lives. The NHS is collaborating with Google DeepMind to develop an AI system capable of identifying previously unknown mechanisms of resistance in just 48 hours – a breakthrough that took researchers years to achieve.

However, pharmaceutical companies are hesitant due to economic incentives; new antibiotics need to be reserved for emergencies, which doesn't align with their profit models based on high-volume sales. A Netflix-style payment model, where governments pay annual subscription fees for access to new antibiotics, is being explored as a potential solution.

The race against time continues, but the tools are there: AI can help discover new drugs and predict the spread of resistant bacteria. The question now is whether we will use these tools wisely – or let them gather digital dust.