1 Incredible Artificial Intelligence (AI) Stock to Buy After Its Post-Earnings Sell-Off

ServiceNow reported first-quarter subscription revenue growth of 19% year over year and raised full-year guidance, while remaining performance obligation rose 25% to a $27.7 billion backlog. Management outlined a path to $30 billion in subscription revenue by 2030 versus $12.8 billion in 2025, supported by AI product monetization, margin expansion, and buybacks. Despite investor concern that AI could reduce long-term user demand, the stock trades below 6x sales and at 22x forward earnings, which the article argues is attractive.

Analysis

The market is treating AI as a demand destroyer for enterprise workflow software, but the more important near-term effect is distribution, not displacement. If AI reduces seat counts while expanding workflow scope per user, the revenue pool can still grow faster than headcount-based skepticism implies; that shift should favor platforms that sit in the control plane of enterprise processes, because they can monetize automation through higher ACV even with fewer logins. The second-order winner is infrastructure around identity, orchestration, and security permissions: as workflows become more agent-driven, the system of record for who can do what becomes more valuable, not less.

The cleanest catalyst is not the long-dated 2030 target, but the next 2-4 quarters of proof that AI attach rates can offset any decline in traditional usage intensity. If management can show that incremental AI modules lift contract value faster than any contraction in user counts, the market’s current de-rating should compress quickly. The key risk is that investors are underestimating the lag between AI feature adoption and monetization; if usage is cannibalized before pricing power is realized, growth can look optically strong while future expansion decelerates.

This setup also changes the M&A backdrop: bolt-on acquisitions may be masking slower organic growth, but they also accelerate platform breadth and deepen embeddedness, which raises switching costs. The downside is that integration risk becomes more material if the company is trying to cross-sell multiple AI and security layers at once; any hiccup would likely hit sentiment harder than fundamentals over the next 1-2 quarters. From a trading perspective, the current multiple implies a compressed terminal growth rate, so the asymmetry is better for a medium-horizon re-rating than for a quick tactical pop.

Key Decisions for Investors

• Go long NOW on weakness with a 6-12 month horizon; thesis is multiple re-rating if AI monetization offsets seat pressure, with upside driven by sustained ACV expansion and operating leverage.
• Buy NOW Jan-2027 call spreads to express a medium-term re-rating while limiting premium burn; target payoff is strongest if the market re-prices terminal growth before 2027 guidance cycles.
• Pair trade: long NOW / short a lower-quality enterprise SaaS basket over 3-6 months; NOW should outperform if the market continues rewarding platforms with stronger backlog and better AI pricing power.
• Avoid chasing after any sharp post-earnings bounce; wait for a failed rally or broad software selloff to improve entry, since the main risk is sentiment-driven volatility before monetization evidence is clearer.
• Monitor for a short thesis on any quarter where subscriber/user metrics soften faster than ARR, as that would signal AI cannibalization ahead of pricing realization and invalidate the bullish setup.