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Truist reiterates ServiceNow stock rating on AI growth strategy By Investing.com

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Truist reiterates ServiceNow stock rating on AI growth strategy By Investing.com

Truist reiterated a Buy rating on ServiceNow with a $120 price target, implying upside from the current $91.97 share price. The article is broadly supportive of ServiceNow’s AI-led growth strategy, including its focus on consumption, workflow automation, and a $30 billion subscription revenue target by 2030. Multiple firms remain constructive overall, though views are mixed with KeyBanc maintaining an Underweight rating.

Analysis

The cleanest read-through is not just constructive on NOW, but negative for the broader “AI software beta” basket: management is effectively arguing that enterprise AI spend consolidates into a small number of orchestration vendors, which should help the winners with workflow control and governance while pressuring point-solutions that rely on seat expansion or loosely integrated usage. That is structurally better for large-platform incumbents than for adjacent application vendors, and it raises the bar for any software name pitching AI as a feature rather than a budget line item. For PLTR, the market likely keeps confusing “AI exposure” with “AI monetization durability.” If NOW can defend pricing by moving from seats to consumption and automation, then the valuation premium on pure AI narrative names becomes more fragile unless they can show repeatable enterprise budget capture, not just pilot conversions. The second-order effect is that CIOs may increasingly fund AI through automation savings rather than net-new software spend, which caps upside across the category over the next 2-4 quarters. The setup for the underwriters is also interesting: a wave of higher targets from bullish analysts can support the stock in the next few weeks, but the real catalyst is execution against consumption metrics into the next two earnings cycles. If those KPIs do not inflect, the stock risks reverting from “strategic AI platform” to “premium workflow software,” which usually compresses multiples quickly. Conversely, a sustained move above current levels would likely drag capital back into large-cap enterprise software at the expense of more speculative AI beneficiaries. Contrarian view: the market may be underestimating how much of NOW’s AI story is already in the price, while overestimating the speed at which the enterprise will convert AI ambition into recurring spend. The opportunity is less about chasing the headline and more about positioning for relative performance inside software: platform winners versus AI-adjacent names with weaker monetization proof.