Prediction got cheap. Reality didn’t.

Prediction is no longer the scarce resource.

Learning is.

AI can generate millions of molecules. Protein structures that once took years can now be predicted in hours. Entire libraries of compounds can be explored before a single experiment is run.

That's extraordinary progress. But every prediction still reaches the same place.

A wet lab.

Reality still gets the final vote. Instruments generate measurements. Scientists interpret those measurements. Organizations decide what they now know.

The companies that win won't necessarily generate more predictions. They'll shorten the distance between prediction and learning.

Faster validation. Faster understanding. Faster improvement.Every experiment becomes another lesson the organization can build on.

The future of drug development won't be decided by who predicts the most. It'll be decided by who learns from reality the fastest.

If prediction is no longer the bottleneck, what is?

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