Iambic's R&D split and the basket's returns show why data-generating lab work matters more than compute in applied AI biotech. Iambic's S-1 puts about 8 cents of its 2025 R&D dollar into compute, 31 into discovery and the lab, and 28.5 into the clinic. After two months, the basket rose 20.5% versus -0.2% for the S&P 500 and -4.8% for biotech. Data-producing names rose 33.5%, or 16.8% without Moderna's readout day, versus 9% for bioprocess and reagents. The market bought the data. x.com 

Danaher is a cleaner way than Thermo Fisher to play an aging population. Its greater bioprocessing exposure ties it more directly to drug cost of goods. x.com 

The bioprocessing recovery and AI acceleration story for Danaher and Thermo Fisher is failing, as demand for their lab equipment turns out to be weaker than hoped. A real recovery looks more like a calendar 2027 event. x.com  x.com 

Biotech, including Thermo Fisher, Eli Lilly, Intellia, CRISPR, Illumina and NeoGenomics, stands to gain as AI-trade capital rotates out of infrastructure, since healthcare is the largest market AI has yet to disrupt. AI hardware is worth about $14 trillion versus $1.4 trillion for biotech, so a 2.5% rotation could, at 5x inelasticity, put $1.75 trillion of pressure on biotech. Capital isn't leaving the AI trade; the equal-weighted S&P 500 is at all-time highs. x.com  x.com