ServiceNow plunges 16% as IBM and NOW results deepen AI disruption fears across software sector
Salesforce, Workday and Oracle caught in the selloff as investors question whether AI is cannibalising software demand
Briefing
- •ServiceNow shares fell more than 16%, pulling down Salesforce, Workday and Oracle in sympathy after results reignited concern that AI tools are displacing traditional software spending.
- •IBM beat Q1 earnings estimates but its stock fell on guidance, with software revenue growth coming in below expectations.
- •The dual datapoints from IBM and ServiceNow intensified fears that enterprise software budgets are being redirected toward AI infrastructure rather than conventional SaaS platforms.
- •The selloff reflects a broader re-rating risk for software multiples if AI-driven displacement accelerates faster than new AI-native revenue can offset it.
Why it matters
- →ServiceNow's miss combined with IBM's software revenue shortfall creates a corroborating two-data-point case that enterprise IT budgets are actively reallocating toward AI infrastructure at the expense of incumbent SaaS spend. This is not a single-company execution problem. The re-rating risk for the broader software sector is multiple compression, not just estimate cuts, because the displacement narrative challenges the durability of ARR-based valuation frameworks for CRM, WDAY, and ORCL specifically.
- →The bifurcation between AI infrastructure winners and traditional software losers is now confirmed across consecutive earnings cycles. Intel, TSMC, and SK Hynix all posted strong AI-infrastructure-driven results in the same period that ServiceNow and IBM software disappointed. Portfolio managers running sector-neutral software exposures face a structural factor rotation problem, not a stock-picking one, as the earnings divergence between infrastructure and application layers widens.
- →Meta's simultaneous announcement of 8,000 layoffs and $135bn AI capex, combined with ServiceNow and IBM signaling SaaS budget displacement, confirms that large enterprises are substituting AI tooling for licensed software workflows. This accelerates the timeline for conventional SaaS churn and compresses the window for incumbents to offset losses with AI-native product revenue, which has not yet materialized at scale in any software company's reported results.
Historical Context
- 2000-2001
Enterprise software multiple compression during the dot-com unwind showed that ARR-model valuations can collapse faster than revenue, as budget freezes hit renewal cycles before they hit reported revenue. The current AI reallocation risk follows the same transmission channel: budget decisions today hit reported revenue 2-4 quarters later, meaning the earnings impact of the current displacement is likely understated in current estimates.
- 2016-2017
The cloud migration cycle displaced on-premise software vendors including Oracle and SAP over a multi-year period. Incumbent vendors initially argued cloud cannibalization was overstated; multiples compressed significantly before new cloud ARR offset legacy declines. The current AI displacement narrative follows an identical incumbent defense pattern, suggesting the market may be underestimating the duration of the transition.
Connected Events
Meta to cut 10% of workforce, eliminating 8,000 jobs in May
Meta's announcement of 8,000 layoffs explicitly framed as funding AI infrastructure capex of up to $135bn confirms that large enterprise buyers are substituting AI spend for software headcount and tooling budgets simultaneously, directly compressing the addressable market ServiceNow and Salesforce have relied on.
Intel stock surges 15% after Q1 earnings beat and strong outlook
Intel's 15% surge on AI-infrastructure-driven guidance, following TSMC and SK Hynix records, confirms the earnings divergence between infrastructure and application software layers is a structural feature of this cycle, not noise, making the ServiceNow selloff a sector rotation signal rather than an idiosyncratic miss.
