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Applied AI·May 24, 2026·1 min read

Memory has grown to nearly two-thirds of AI chip component costs

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When memory is ~⅔ of AI chip component cost, the constraint is bandwidth and locality, not raw FLOPs. If you’re budgeting AI infra or model work, prioritize architectures and workloads that are memory-efficient — KV cache tricks, sparsity, and smaller context — or your unit economics will get crushed at the DIMM, not the GPU.

Applied AI

Demand for security engineers is surging, with job postings up 11% YoY in Q1, driven by threats from AI-generated code and models like Mythos and GPT-5.4-Cyber (Kate Conger/New York Times)

Offense just got automated, so security is becoming a first-class product requirement, not a compliance box—11% YoY hiring growth is the labor market pricing that in. If you're shipping AI-powered anything without a dedicated security engineer in the loop, you're functionally subsidizing the attacker’s R&D.