AstraZeneca CEO says AI is reshaping drug development — and helping boost the odds of success

AstraZeneca CEO Pascal Soriot said AI is helping the company develop medicines faster and make smarter decisions throughout the research process.

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  • AstraZeneca CEO Pascal Soriot said artificial intelligence is helping the company develop medicines faster, identify promising drug targets, and improve the odds of success in costly clinical trials.
  • Soriot said AstraZeneca is using AI tools and partnerships, including its work with Tempus AI and Pathos, to make smarter drug development decisions and accelerate innovation across its pipeline.

AstraZeneca CEO Pascal Soriot said artificial intelligence is helping drugmakers develop medicines faster and make smarter decisions throughout the research process.

“The value of AI in our industry is productivity improvement,” Soriot said on CNBC’s “Mad Money” on Friday. “In the way you design a new medicine, a new drug, you can actually do it faster, do it smarter.”

The comments come as investors increasingly question whether the massive spending on artificial intelligence is producing meaningful returns in industries like healthcare. Soriot said AstraZeneca is already seeing practical applications across drug discovery and development, from identifying new targets to improving the design of potential medicines.

“You can come up with new targets, but also you can optimize your molecule [and] remove what you think is going to be potential side effects from the molecule, and AI helps you do this,” he said.

Soriot noted that AI is also helping the company make better decisions about which drugs to advance through the development process. Through its partnership with Tempus AI, he said the company is using AI models to analyze data with the goal of improving drug discovery and increasing the odds of success in late-stage trials.

“We have developed an agent that takes all this data together — clinical data, laboratory data — and helps us predict the probability of success of a Phase 3 trial,” Soriot said.

The potential payoff is significant.

“We spend $300 million, $400 million, $500 million on a trial,” Soriot said. “If you increase the probability of success, the productivity improvement is enormous.”

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