
The article argues that agentic AI could materially benefit Palantir, ServiceNow, and CrowdStrike as enterprises adopt AI agents and need platforms to deploy, govern, and secure them. Palantir is highlighted with 72% expected revenue growth this fiscal year and a 45% implied upside to the median target; ServiceNow is targeting $30 billion in subscription revenue by 2030 with 18% median upside and 107% upside to the high target; CrowdStrike’s new Charlotte AI agentic offerings support an 8% to 9% median upside. Overall, the piece is constructive on the AI software and cybersecurity theme, though it is primarily an analyst/opinion article rather than a new company-specific catalyst.
The market is likely underappreciating that agentic AI monetization will accrue less to model creators and more to the control plane sitting between agents, enterprise permissions, and production systems. That is structurally bullish for PLTR and NOW: both can become the layer that makes agents usable at scale, which means their attach rates can rise faster than headline seat growth once customers move from pilots to regulated deployment. The second-order effect is that every successful agent rollout increases switching costs, because governance, identity, workflow orchestration, and audit trails become embedded in core operations.
CRWD is the cleaner derivative beneficiary because autonomous agents expand the attack surface in a way that legacy endpoint tools cannot fully address. The more enterprises delegate actions to software, the more security budgets shift from reactive detection to identity-centric control and machine-to-machine authorization. That supports a multi-year re-rating of platform security vendors, but the near-term market may still be too focused on product cadence rather than the larger wallet-share expansion opportunity.
The contrarian risk is that the trade is becoming crowded around a single narrative: "AI will create new software winners." If enterprise adoption remains confined to internal productivity use cases, revenue acceleration may lag valuation expansion, especially for PLTR and CRWD where expectations are already elevated. NOW looks most mispriced on this screen because it benefits from both AI adoption and governance anxiety, while still trading like a legacy workflow company; that disconnect is what can close first if agent deployments move from experimentation to procurement over the next 2-4 quarters.
The main catalyst to watch is not model capability, but proof of controlled deployment: measured reductions in human approvals, lower incident rates, and faster workflow completion in regulated functions. If those metrics show up in customer references or guidance, the market should start capitalizing these businesses like infrastructure for AI adoption rather than application software. Conversely, if governance incidents rise, the entire agentic stack gets delayed, and the winners become the vendors selling restraint rather than acceleration.
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