AI fears for ServiceNow are getting challenged by a new narrative
Investors have long associated artificial intelligence with disruption risk for enterprise software, and ServiceNow was no exception. The company’s workflow platform sits at the center of how large enterprises coordinate tasks across departments—raising the question of whether AI agents would eventually replace that infrastructure.
But the emerging view presented in recent company commentary is that AI may increase the need for workflow and governance tools. As businesses deploy more AI systems to generate actions, they still require controls for approvals, documentation, monitoring, and execution—areas where ServiceNow is positioning its platform.
Key takeaways
- Price move: No specific share-price move was provided in the source material.
- Catalyst: The core catalyst is ServiceNow’s push to extend its platform with AI assistants, AI agents, and governance tools.
- Key implication: If AI increases the volume of cross-department processes requiring approvals and tracking, workflow platforms like ServiceNow could gain share and expand usage.
- Primary risk: The main bear case is that future AI agents could automate broader workflows without needing third-party workflow systems.
ServiceNow’s role inside the enterprise
ServiceNow serves as an automation layer for workflows spanning functions such as employee onboarding, expense approvals, human resources processes, security responses to cyber threats, and customer service issue resolution. In many organizations, these tasks historically moved through email, spreadsheets, phone calls, and fragmented systems—approaches that tend to be slow, difficult to track, and prone to coordination breakdowns.
By routing requests automatically and ensuring the right stakeholders receive the right information at the right time, ServiceNow aims to standardize and accelerate how work gets done. As organizations build out hundreds or thousands of workflows on the platform, replacing it can become difficult and disruptive—creating conditions for long customer retention and, in many cases, additional spending over time.
Why AI could boost rather than replace workflows
The central argument for a more positive AI outlook is that AI agents still need operational workflows. The example cited in the source is straightforward: an AI agent detects low inventory at a manufacturing facility and can recommend or even generate a purchase request. Even then, someone must approve spending, suppliers must be notified, and inventory systems must be updated—steps that require tracking, documentation, and governance.
In this framing, AI can perform parts of work, but the enterprise still needs a control mechanism to manage how actions are authorized, recorded, and coordinated. ServiceNow is attempting to meet that need through AI-powered assistants, AI agents, and governance tools intended to manage both human workflows and AI-generated work from a unified platform.
According to the source, ServiceNow reported early traction in AI-related offerings. It said that Now Assist continued to gain adoption, with Now Assist’s net new annual contract value more than doubling year over year in the fourth quarter of 2025. The same material also referenced 2025 revenue growth of 21%, suggesting that demand for the broader toolset remained resilient alongside the AI push.
Where investors still see uncertainty
The risks outlined in the source reflect how fast AI capabilities are evolving. Some investors worry that future AI agents could automate significantly more of company workflows than today’s systems can, potentially reducing the need for separate workflow software. In that scenario, platforms like ServiceNow would face pressure if customers shift toward more “self-executing” agent workflows.
Competition is another key concern. Enterprise software is crowded, and both established vendors and newer AI-native startups are competing to capture budget and attention. The source notes, however, that ServiceNow starts from a position of strength because its platform is already embedded across large organizations—an advantage that could matter when customers evaluate how to deploy AI responsibly and maintain oversight.
What to watch next for ServiceNow
For investors, the near-term focus should be on whether AI-driven product adoption translates into sustained enterprise usage and incremental monetization, rather than purely incremental feature exposure. The source material highlights adoption momentum for Now Assist and emphasizes governance as a differentiator. Going forward, investors will likely look to company updates on AI assistant and agent deployment, customer expansion, and how governance capabilities perform as AI usage scales across real operating processes.
Upcoming catalysts will typically include quarterly earnings updates and management commentary on AI traction, as well as broader market drivers that influence growth-stock valuation—particularly interest-rate expectations and the pace of enterprise AI rollouts.
