Foundries vs. Navigators: how AI can lower the cost of scientific research
Foundries vs Navigators: Lowering the Cost of Science
What happened
Language models have greatly sped up coding and data analysis, but the bottleneck in scientific research remains physical experiments that can take days or weeks to validate: “thinking got cheaper; doing didn't.” The biotech industry is splitting into two approaches. Foundries use next-generation sequencing, multiplex assays, and lab automation to produce experimental data an order of magnitude faster; Navigators embed AI in day-to-day company workflows to accelerate decisions.
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