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Truist cuts ServiceNow stock price target on AI timing concerns By Investing.com

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Truist cuts ServiceNow stock price target on AI timing concerns By Investing.com

Truist cut its ServiceNow price target to $125 from $175 but kept a Buy rating, citing strong Q1 earnings expected on April 22 and sustained demand across core product lines. The firm said customers are not looking to replace ServiceNow and are instead adding AI capabilities, though AI is not expected to be a near-term revenue driver. ServiceNow also expanded AI features across its product portfolio, even as analyst views remain mixed, with targets ranging from $100 to $219.

Analysis

The market is still pricing NOW like a generic AI beta name, but the real takeaway is that this is a distribution and monetization story, not a model-training story. If customers are standardizing AI through existing workflow vendors, the incremental winner is whoever sits closest to operational decisioning and governance; that favors NOW over point-solution vendors and lowers the odds that large enterprises rip-and-replace core workflow software. The second-order effect is that the AI debate may shift from “who has the best model” to “who controls the process layer,” which should compress the risk premium on durable enterprise platforms with embedded switching costs. Near term, the setup is still binary around earnings: positive prints likely won’t rerate the stock unless management can show AI is moving from pilots to booked deployments and attach rates. The biggest risk is not competitive displacement but margin dilution if AI features are bundled for free and sales cycles lengthen while customers wait for proof that these tools actually reduce labor spend. That creates a months-long gap where fundamentals can remain solid yet valuation stays depressed, especially if broader AI skepticism keeps investors demanding evidence over narrative. Contrarian view: the selloff may already be over-discounting the pace of enterprise AI adoption, but not for the reasons bulls cite. If AI becomes a standard feature rather than a premium add-on, the upside is less about near-term revenue acceleration and more about defending renewal rates and preserving platform relevance; that can still support a multiple re-rate, but only after the market sees retention hold. The cleanest tell over the next 1-2 quarters is whether customer proof-of-concepts convert into workflow expansion rather than standalone AI spend.