Updates: Palo Alto Networks -From Platformization To AI-Native Security & Observability (Pt.2)

Summary * Semiconductor scaling is shifting from lithography alone to materials precision and 3D architectures, structurally increasing ALD intensity where ASM is strongest. * The transition to GAA, backside power delivery, and 2nm-class nodes creates a multi-year growth cycle driven by process complexity rather than wafer volume. * AI-driven demand is expanding ALD exposure beyond logic into HBM, advanced packaging, and increasingly logic-like memory architectures. * Near-term results depe

Summary * Precision timing has shifted from commodity infrastructure to a system-level constraint in AI, and SiTime sits at a critical coordination layer as compute, networking, and interconnect complexity scale non-linearly. * CED is the clear near-term growth engine, with MEMS-based timing content expanding across GPUs, NICs, switches, optics, and advanced packages

Summary * This section uses a framework to clarify how AI shifts security risk, where Netskope operates today, and where future opportunities and gaps may emerge. * Netskope’s CASB and data-centric roots position it well at interaction and execution layers, but AI posture and agent/workload governance remain key expansion challenges.