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Should You Buy ServiceNow Stock Before July 22?

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Should You Buy ServiceNow Stock Before July 22?

ServiceNow is down ~30% YTD, but the article argues the company is still delivering resilient performance in the AI era (subscription revenue growth 19–23% YoY across the past five quarters; operating margin 29.5–33.5% vs. 31% in Q1 2025). The key debate into its July 22 earnings is whether agentic AI makes workflow SaaS obsolete; the article highlights ServiceNow’s AI Control Tower as a counter. Valuation is framed as a mitigating factor (P/E ~64, about half its three-year average), though uncertainty suggests the stock may react sharply to guidance/outlook rather than fundamentals alone.

Analysis

The market is still treating NOW like a potential AI victim, but the more important mechanism is that AI is likely to be absorbed as a product layer rather than a replacement threat in the next 1-3 quarters. That favors the core workflow franchise: if AI reduces customer friction, NOW can capture more use cases per account and expand modules faster, which is a better setup than a pure seat-based SaaS model. The first-order risk is not obsolescence; it is whether AI becomes a feature-tax that forces pricing discipline and slows new-module attach over time.

The real debate is 6-18 months out, where the bear case shifts from revenue collapse to multiple compression if investors conclude AI is improving customer productivity faster than NOW can monetize it. That would show up first in billings, cRPO, and net retention before it shows up in reported revenue. Peer read-through is broader than NOW: CRM, WDAY, and even MSFT can pressure the narrative if bundled copilots commoditize workflow software, while hyperscaler AI spend does not automatically translate into application-layer winners.

Pre-earnings, the risk/reward is poor for a naked directional bet because the stock already has an AI-risk discount and event volatility is likely expensive. The contrarian view is that consensus is overestimating near-term displacement and underestimating how much enterprise buyers prefer governance, auditability, and orchestration when deploying AI at scale. What would falsify the constructive view is any guide that implies sub-20% subscription growth, margin erosion below the low-30s, or evidence that AI features are cannibalizing paid modules instead of expanding them.