
Feature|Articles|August 20, 2026
How to Rebuild Pharma Operating Model for an AI Era
In pharma's AI transformation, the technology was never the hard part — fixing the operating model that has to act on what AI surfaces is.
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In the early 2000s, AstraZeneca’s gefitinib program in lung cancer was widely viewed as disappointing based on overall trial results. Yet buried within the data was a striking signal: a subgroup of patients experienced dramatic tumor responses—patients later shown to carry EGFR mutations. The finding became a landmark in biomarker-driven oncology, proving that the right therapy can look ineffective in the average patient while being transformative for the right subgroup.
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