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Zscaler: A Generational Opportunity To 'Buy' AI Tailwinds At A Discount

ZS
Artificial IntelligenceTechnology & InnovationCybersecurity & Data PrivacyCompany FundamentalsAnalyst InsightsInvestor Sentiment & PositioningMarket Technicals & Flows

ZS is down nearly 40% YTD amid broad software weakness and AI disruption fears. The analyst reiterates a "Buy" rating, cites no fundamental red flags, and frames the selloff as a dollar-cost-averaging opportunity. While noting AI startups could pose competitive risk, the analyst expects AI to be a net tailwind as Zscaler's AI-driven workloads grow.

Analysis

Zscaler's secular exposure to cloud-native traffic inspection creates a two-way pull: rising AI-driven model‑serving will materially increase encrypted, high‑bandwidth egress that favors cloud‑delivered SASE vendors, while hyperscalers' native security features remain the single largest strategic threat. Expect a structural bifurcation over 12–36 months where vendors that own the edge proxies/inspection layer capture recurring revenue, and those reliant on on‑prem hardware lose incremental wallet share. Near‑term catalysts that will reprice risk include quarter‑over‑quarter ARR acceleration, net retention moving back above 110% (or falling below 100%), and any public hyperscaler partnership or OEM deal — each can swing consensus multiples within weeks. Tail risks that could erase most upside over a multi‑year horizon are low switching costs combined with aggressive bundling from MSFT/AWS/GCP or a large-scale security breach that undermines trust; those outcomes are binary and likely to play out over 6–24 months. The consensus overlooks the downstream network economics: every 10–20% increase in AI inference traffic translates into outsized incremental inspection CPU/GPU cycles and cloud egress fees, which favors software‑native inspection architectures and drives stickier per‑customer spend. That dynamic suggests the current sentiment discount is at least partly overdone for firms that can demonstrate differentiated throughput economics and carrier/cloud partnerships; conversely, legacy appliance vendors and firms without a clear cloud proxy path are the most vulnerable over the next 18 months.

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