HEALTH

Bayer CEO says AI is powerful tool in drug development

April 17th, 2026

“Every new medicine” is now designed on computers, the CEO of Bayer told Semafor World Economy on Wednesday, describing a fundamental shift due to AI.

“We used to have these banks of chemicals — thousands, tens of thousands of chemical entities — and we would screen them against targets,” Bill Anderson said, but now “we’re basically doing this with computational chemistry, computational biology.”

The same is true, he said, in crop protection. He said Bayer will launch “the first fundamentally new herbicide in about 40 years” next year, designed in silico: “It’s like the difference between shooting in the dark and having a precision-guided weapon.”

Since the unveiling of DeepMind’s AlphaFold in 2020, AI has vastly sped up the work of understanding suitable drug targets, especially by demystifying the structure of proteins.

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DeepMind’s Demis Hassabis and his colleagues won the Nobel Prize for that work in 2024. But while it has removed one major bottleneck in drug discovery, the impacts in terms of actual new drugs have so far been relatively modest. Anderson’s statements suggest that is changing.

He noted that “A huge proportion of the interesting biological targets in medicine are so-called ‘undruggable’,” as in they are clearly important but it’s hard to get a drug molecule to attach to them. Now, a Bayer subsidiary called Vividion is using a “highly AI-dependent” method for developing drugs for previously undruggable biological molecules. “The first of these compounds are now in the clinic,” he said.

Curated By

Kaito Tanaka
Strategic Innovation Consultant | Technology Investment Analyst | Operations Research Director
Kaito Tanaka is a futurist journalist who approaches news through the lens of optimization and efficiency. Specializing in cutting-edge technologies like CRISPR, robotics, and supply chain innovations, he distills complex developments into their most actionable insights. Known for his clinical analysis style, Kaito cuts through traditional narratives to identify systemic inefficiencies and opportunities for progress. His commentary reflects a pragmatic worldview where sentiment yields to solutions, and every story is evaluated based on its potential to advance human capability. When he's not tracking breakthrough research, you'll find him optimizing his own workflow or planning his next travel adventure with mathematical precision.

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