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  Business Intellilgence

Could Anthropic Disrupt the Techbio Companies Built for Pharma/Biotech?

by Andrii Buvailo, PhD   •   July 2, 2026

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AlSO: The Numbers Behind China's Biopharma Ascent.

Everyone is talking about how Anthropic AI lab now designs drugs, hires the AlphaFold Nobel laureate, and ships Claude Science alongside Claude Code. Also, their partnership with Basecamp Research (i.e. EDEN-designed antibiotic peptides 97% active against WHO priority pathogens), integration of Claude Science with Boltz, and so on. There is a real movement.

But despite the obvious impressiveness and importance of this move, the part that Anthropic is addressing is the one that was never the most expensive/complex part of the drug development business, in my opinion.

Designing a promising molecule has been getting cheaper for a decade, as well as target selection. That is not where drug discovery programs fail, generally speaking. Drug programs fail in toxicity and unexpected systemic effects on body, lack of efficacy, in manufacturing, in failing to enroll enough/right patients, in trials that fail because the biology was misjudged or the population was selected in a sloppy trial design (lack of biomarkers, etc.).

As far as I can tell, Anthropic has limited clinical apparatus, no manufacturing, no regulatory track record, and, likely, no answer yet to "what do you do if you find something that works?" Yes, sure, they can design drugs really fast, but then what? How does their model differentiate against later stages, where the role of AI is surprisingly small at the moment?

Claude Science can probably move "target to shortlist in minutes," and so it compresses the cheapest, fastest, most-solved stage of the pipeline. It is certainly a milestone, certainly impressive, but have they solved drug discovery with it? Probably not yet.

Now, what does it mean for the AI-native biotechs, the likes of Iambic, Recursion, Insilico Medicine, OWKIN, Isomorphic Labs, Cradle, NOETIK, Xaira, SandboxAQ, etc.)?

Well, their moat was never the model alone, I think. It is this:

→ Proprietary data generated in-house (e.g., Recursion's phenomics screens, Insilico's chemistry-plus-clinical loop, Owkin's federated hospital access, etc).

Anthropic doesn't seem to have this yet. It rents it (e.g., Basecamp's BaseData, PacBio/Ultima sequencing in the Trillion Gene Atlas). The players who own their data-generation flywheel keep that edge (for now).

→ Wet-lab-to-model feedback loops. The ones who've vertically integrated experiment and prediction still have the tight loop Anthropic says it's trying to build by running its own program.

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