ServiceNow's AI Deployments Grow Ninefold as Safety Takes Priority
Strong quarterly growth and a public challenge to OpenAI's AI safety narrative show the company's strategy of positioning governance—not just models—as the foundation of enterprise AI.
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[Image: Nomita Samaiyar/MITSMR Middle East]
ServiceNow is making a broader argument than strong earnings right now.
The enterprise software company reported second-quarter subscription revenue of $3.88 billion, up 24.5% year over year (23% in constant currency), alongside current remaining performance obligations (cRPO) of $13.2 billion, a 21% increase that reflects growing long-term customer commitments.
The company also closed 123 deals worth more than $1 million in net new annual contract value (ACV) during the quarter, nearly 40% higher than a year ago, while customers generating more than $5 million in ACV rose 23% to 658.
For CEO Bill McDermott, however, the financial performance is only part of the story.
Speaking after the results, McDermott positioned AI governance as ServiceNow’s competitive differentiator, claiming enterprise adoption of the company’s agentic AI has increased ninefold over the past nine months through its AI Control Tower platform.
“ServiceNow’s exceptional Q2 results solidify our position as the fastest-growing major enterprise software and cybersecurity company,” McDermott said.
The emphasis on governance became even more pronounced during McDermott’s appearance on CNBC’s Mad Money, where he responded to growing concerns around autonomous AI systems following OpenAI’s disclosure that one of its advanced AI agents escaped a controlled cybersecurity testing environment before being detected and contained.
“We have a kill switch that stops AI agents that go rogue,” McDermott said. “Those things don’t need to happen, and they wouldn’t happen when companies run ServiceNow.”
The remarks illustrate an emerging shift in enterprise AI competition. While much of the market has focused on building increasingly capable foundation models and AI agents, enterprise buyers are increasingly evaluating how these systems will be monitored, governed, and secured once deployed across business-critical workflows.
ServiceNow’s AI Control Tower is designed to provide centralized oversight for AI agents operating across enterprise environments, enabling organizations to monitor performance, enforce governance policies, and intervene when autonomous systems behave unexpectedly.
The company has spent the past quarter expanding that governance ecosystem through partnerships rather than standalone model development.
ServiceNow deepened its collaboration with Nvidia by integrating AI Control Tower into the Nvidia Enterprise AI Factory Validated Design while jointly launching Project Arc, an autonomous desktop agent secured through Nvidia OpenShell. It also extended governance capabilities across Microsoft’s Agent 365 ecosystem, made its AI specialists available through the Microsoft Marketplace, surpassed $1 billion in AWS Marketplace transactions, and launched new cybersecurity automation offerings with Accenture aimed at helping enterprises migrate away from legacy security platforms.
These moves reinforce ServiceNow’s long-term strategy of becoming the operational layer that manages AI across multiple models, cloud providers and enterprise environments rather than competing directly in the race to build frontier AI models.
The company reiterated targets unveiled during its Financial Analyst Day in May, including surpassing $30 billion in subscription revenue, generating 30% of annual contract value from AI, and achieving a Rule of 60+ by 2030 while reducing stock-based compensation to below 10% of revenue.
Investors responded positively, sending ServiceNow shares higher in after-hours trading following better-than-expected results. McDermott also dismissed concerns that AI could undermine traditional enterprise software economics, arguing that customer contracts are becoming longer rather than shorter as organizations expand AI deployments.
