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Piper Sandler reiterates ServiceNow stock rating on AI platform role By Investing.com

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Piper Sandler reiterates ServiceNow stock rating on AI platform role By Investing.com

ServiceNow reiterated its AI-led growth strategy at its Financial Analyst Day, introducing a new monetization layer for third-party agents and autonomous workers. Management set a 2030 target of $30 billion+ in subscription revenue, implying a high-teens CAGR from current levels, while Piper Sandler kept an Overweight rating and $140 price target. The stock has fallen 53% over the past year, but multiple analysts remain constructive, with targets ranging from $85 to $157.

Analysis

ServiceNow is trying to re-rate itself from a workflow software vendor into an AI labor layer, and that matters because it changes the budget line it can attack. If the platform can credibly sit between agents, workflows, and enterprise controls, the spend pool expands from IT automation into operating expense replacement, which is a much larger and stickier TAM. The market is likely still underestimating how much of the upside comes not from seat expansion but from per-task monetization and higher attach across existing enterprise footprints. The more important second-order effect is competitive pressure on adjacent enterprise software names that are also pitching AI orchestration, but lack ServiceNow’s distribution into the CIO and service-management stack. That creates a winner-take-more dynamic where platform incumbency compounds: once enterprises standardize agent governance in one layer, switching costs rise sharply and AI vendors become incremental modules rather than platform owners. Over the next 6-18 months, the key question is whether the new monetization model lifts net retention enough to offset any customer pushback on AI pricing. The setup is favorable, but not one-way. The stock can de-rate quickly if the market concludes the 2030 targets are back-end loaded and dependent on broad AI budget conversion that has not yet shown up in bookings. Near term, the catalyst path is analyst-day digestion and estimate revisions; over a longer horizon, the real risk is that autonomous-worker revenue cannibalizes traditional software expansion before it meaningfully scales, temporarily compressing margin structure. Contrarian takeaway: the move may still be underpriced because investors are anchoring to software multiples instead of labor-substitution economics. If management can prove even a modest wedge of labor-budget capture, valuation should expand on a revenue mix shift alone, before full earnings contribution is visible. That said, the bar is execution-heavy: any evidence that third-party agents are a low-velocity feature rather than a durable monetization channel would unwind the AI premium fast.