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Deep & Emerging Tech·October 17, 2026·1 min read

Why AI Isn’t Ready to Tackle Our Convoluted Genomes

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Genomics is a reminder that foundation models break down when the data is sparse, dynamic, and poorly labeled — biology still lacks the training substrate software enjoys. Health and bio teams should budget more for data generation, curation, and domain-specific modeling instead of assuming off-the-shelf AI will unlock complex traits.

Deep & Emerging Tech

Guest Post: AI Infrastructure Investment and the Future of Quantum Computing

If AI infra is one of the largest capex cycles in tech history, quantum’s near-term path is less about replacing that stack and more about attaching to it—specialized accelerators for narrow workloads, not wholesale platform swaps. Treat quantum as an options bet on specific bottlenecks —optimization, simulation, cryptography—rather than a core dependency in your 3–5 year architecture.