The article highlights three software stocks positioned to benefit from agentic AI: Palantir, ServiceNow, and CrowdStrike. Palantir is cited with 72% expected fiscal-year revenue growth and a 45% median upside target, ServiceNow with a path to $30 billion in subscription revenue by 2030 and 107% upside to the high target, and CrowdStrike with new AI-agent security products and roughly 8% to 9% median upside. The piece is broadly constructive on the AI software theme, though it is mostly opinion-driven rather than a new company-specific catalyst.
The market is starting to re-rate the software stack around a simple idea: AI model quality is converging, so the scarce asset is control plane ownership. That favors vendors sitting between data, identity, workflow, and permissions, because agentic systems create more orchestration complexity than model spend; the more autonomous the agent, the more budget shifts toward governance, observability, and policy enforcement rather than raw inference.
PLTR and NOW are different versions of the same trade. PLTR monetizes the high-end integration layer where AI gets wired into mission-critical data, so each incremental agent deployment should deepen switching costs and increase expansion revenue, but it also bakes in execution risk if growth decelerates even modestly from an elevated base. NOW has the cleaner second-order angle: if companies are nervous about letting agents touch HR, IT, and approvals, the company already owns those workflows, which means AI becomes an upsell into a budget category customers cannot easily cut.
CRWD is the asymmetrical beneficiary because agentic AI multiplies identities, credentials, and machine-to-machine permissions faster than legacy security tools can map them. That means the security budget likely expands faster than the AI-app budget over the next 12–24 months, especially after the first widely publicized agent-based incident forces CISOs to buy controls retroactively. The main risk is that the security market can become saturated with “agentic” branding before product demand shows up in billings, so near-term disappointment is possible even if the longer-term thesis is right.
Consensus is probably underestimating how much this wave shifts spend from horizontal AI narratives to governance-heavy enterprise software. The overcrowded long is PLTR, where valuation already discounts a very high success rate; the more interesting relative-value expression is NOW and CRWD, which have clearer paths for AI to expand wallet share without needing the same degree of narrative premium. If agent adoption stalls, PLTR de-rates first; if adoption accelerates, NOW and CRWD capture the more durable follow-on spend.
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