The AI Trade Nobody Is Making Right Now -- and Why It Could Be 2026's Best Opportunity

ServiceNow said AI commitments are expected to reach $1.5 billion this year, up 50% from prior guidance, and about 50% of new business is now coming from non-seat-based pricing. The article highlights ServiceNow's AI Control Tower and Salesforce's Data 360/Agentforce as well-positioned for agentic AI adoption, but it is largely analyst commentary rather than new company-reported earnings. Overall tone is constructive on both SaaS names, with ServiceNow presented as the stronger near-term AI platform winner.

Analysis

The market is still treating agentic AI as an application-layer story, but the real economics are moving to the orchestration and governance layer. That is structurally better for NOW than for point-solution vendors because the company sits where enterprises will be forced to standardize controls, auditability, and routing across multiple agent stacks; once embedded, that layer tends to become sticky and price-insensitive. The second-order effect is that AI adoption can actually deepen NOW’s wallet share even if it reduces seat growth elsewhere, because control-plane spend is more like infrastructure capex than discretionary SaaS.

CRM’s setup is more delayed but potentially larger if data gravity keeps shifting away from monolithic systems of record toward federated access. The underappreciated angle is that zero-copy plus governance products make CRM a natural toll collector on AI inference workflows that need fresh enterprise data without creating new data lakes. The risk is that this remains a narrative until Agentforce becomes a measurable attach-rate driver; in the near term, the stock can underperform despite good product momentum because investors will not pay for TAM expansion that does not show up in revenue acceleration.

The biggest overhang for both names is that the current enthusiasm may be front-loading a multi-quarter adoption curve. If enterprise buyers start by piloting agents in low-risk workflows, monetization could lag the headline excitement by 2-4 quarters, which creates room for post-earnings fades even if product commentary stays strong. A more subtle risk is competitive bundling from hyperscalers and platform vendors: if orchestration gets commoditized, the value capture shifts to whoever owns the data/workflow integration rather than the agent UI, which is why SNOW and infrastructure-adjacent names should be monitored as potential beneficiaries.

Key Decisions for Investors

• Go long NOW vs. a software basket on a 3-6 month horizon; use earnings pullbacks or 5-7% drawdowns to add. Upside is a multiple re-rating if AI commitments convert into durable platform spend; downside is limited by its governance/control-plane positioning.
• Initiate a CRM/NOW pair trade: long CRM, short a weaker generic SaaS name or a SaaS index proxy. This expresses the view that data orchestration and governance will monetize more slowly but with larger long-duration optionality than seat-based workflow software.
• Buy 6-9 month call spreads in NOW rather than outright stock to capture rerating from agentic AI enthusiasm while capping multiple compression risk if enterprise budgets stay cautious.
• For CRM, wait for evidence of agent attach-rate in the next 1-2 earnings cycles before adding aggressively; if Data 360 or Agentforce growth inflects, expect a 15-20% revaluation window over 6-12 months.