Zscaler stock price target maintained at $155 by Morgan Stanley

Morgan Stanley reiterated an Equalweight rating and $155 price target on Zscaler, while UBS and Cantor Fitzgerald remain more bullish at $260 and $300, respectively. The article highlights 23.9% trailing revenue growth, 76.6% gross margins, and AI Security ARR expected to exceed $500 million by FY26, but notes moderating core ZIA/ZPA growth and rising competition. Zscaler’s acquisition of Symmetry and Project AI-Guardian support its AI and platform expansion strategy, though execution risk remains as the company seeks to sustain 20%+ ARR growth into FY27.

Analysis

The bigger signal here is not Zscaler-specific; it is that security platforms are being forced to justify premium multiples by proving they can monetize AI-native workloads before the core enterprise refresh cycle slows further. That creates a barbell outcome across the cyber stack: vendors with a credible data-plane plus identity plane advantage can keep compounding ACV, while point solutions and legacy network-adjacent names risk being used as funding sources for the better platform story. The acquisition also suggests M&A will increasingly be used to fill product gaps in AI governance and data access rather than to drive near-term earnings accretion.

For competitors, the second-order effect is that the battleground shifts from seat-based pricing to workload- and agent-based consumption. That is constructive for large platform vendors with embedded enterprise relationships, but it also compresses differentiation for smaller pure-plays because AI-security budgets will likely be allocated by CIO/CISO committees that prefer fewer vendors and fewer integration points. Over the next 1-2 quarters, channel checks will matter more than headline ARR because the real question is whether AI-security attach rates are pulling demand forward or merely reshuffling existing spend.

The contrarian view is that the market may be underestimating how quickly AI-security products can become material if they are sold as risk controls for production AI deployments rather than as discretionary add-ons. If that happens, the addressable budget expands from security line items into broader digital-transformation spend, which would support elevated multiples for the platform leaders and justify higher M&A intensity. The risk is that this remains a pilot-heavy category with long monetization cycles, in which case current optimism around adjacency expansion will likely fade over the next 6-9 months as investors refocus on core growth deceleration.

For NVDA, the linkage is indirect but important: more AI-security spend is a sign that enterprise AI rollout is moving from experimentation to governance, which tends to support sustained AI infrastructure demand. However, it also means a larger slice of enterprise AI capex is being diverted to software controls rather than compute, so the market may be overextending the inference that every AI budget dollar flows to semis.

Key Decisions for Investors

• Long ZS into the next 1-2 earnings prints only on a pullback and only as a tactical trade: risk/reward improves if management shows AI Security and workload-based ACV accelerating; otherwise the stock can re-rate lower as investors focus on mid-teens core growth.
• Pair trade: long ZS / short a lower-quality cyber platform name with less credible AI/data-security exposure over 3-6 months; the market should continue paying up for vendors that can cross-sell into AI governance and data access.
• Use NVDA weakness as an opportunity to add selectively on any post-earnings softening in AI capex sentiment; security adjacency spend is supportive of enterprise AI adoption, but do not expect direct near-term revenue benefit from this theme.
• Avoid chasing standalone AI-security beneficiaries that lack distribution or a strong installed base; if monetization cycles stay long, these names will likely lag once the initial AI narrative premium fades.
• For event-driven accounts, consider a short-dated ZS strangle into earnings only if implied volatility remains elevated; the setup is binary because upside depends on tangible adjacency acceleration while downside is driven by any sign that core growth is still slowing.