In this article, we break down the Top 5 Agentic AI Stocks That Could Deliver 100% Returns. For investors looking for the complete list, you can explore our full report on the Top 10 Agentic AI Stocks That Could Deliver 100% Returns.
5. ServiceNow Inc. (NYSE:NOW)
ServiceNow has long been considered one of the most structurally important players in enterprise software, and its aggressive pivot into agentic AI is beginning to reshape how investors view its long-term growth potential. Unlike smaller companies that are still trying to establish product-market fit, ServiceNow is layering AI capabilities onto an already deeply embedded workflow infrastructure—a strategy that often leads to faster monetization and stronger customer retention.
Still, the market has shown a degree of caution. In early April 2026, Stifel trimmed its price target, citing softer channel checks and weakness in U.S. federal spending. This serves as a reminder that even the strongest AI narratives cannot fully insulate companies from macroeconomic pressures. For disciplined investors, this tension between strong innovation and near-term headwinds often creates the kind of mispricing opportunities that define long-term winners.
Operationally, however, the numbers remain difficult to ignore. ServiceNow reported fourth-quarter subscription revenue of $3.47 billion, up 21% year over year, with total revenue climbing to $3.57 billion. Even more compelling is its current remaining performance obligation of $12.85 billion, which surged 25%—a clear signal of strong forward demand and revenue visibility.
The company’s collaboration with OpenAI further strengthens its agentic AI positioning. By embedding advanced models directly into its platform, ServiceNow is enabling enterprises to deploy autonomous agents across IT, HR, and customer service workflows. With more than 80 billion workflows already running annually on its system, the company is not building from scratch—it is transforming an existing enterprise backbone into an AI-driven execution engine.
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