Confidence notes: I am a physicist working on computational material science, so I have some familiarity with the field, but don't know much about R&D firms or economics. Some of the links in this article were gathered from a post at pivot-to-ai.com and the BS detector.

The paper "Artificial Intelligence, Scientific Discovery, and Product Innovation" was published as an Arxiv preprint last December, roughly 5 months ago, and was submitted to a top economics journal.

The paper claimed to show the effect of an experiment at a large R&D company. It claimed the productivity of a thousand material scientists was tracked before and after the introduction of an machine learning material generation tool. The headline results was that the AI caused a 44% increase in materials discovery at the firm, with a productivity increase of 81% for top-decile scientists.

This research was breathlessly reported on in [...]

The original text contained 1 footnote which was omitted from this narration.

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