ServiceNow’s India leadership believes high AI token costs are forcing businesses to optimize their models, favoring efficient, context-aware AI. With AI-related contract value crossing $1 billion, the company is prioritizing deep enterprise integration. Investors are tracking how the firm balances rising infrastructure spending with the need to maintain profit margins amid stiff competition from major software vendors.
Sumeet Mathur, Senior Vice President & Managing Director at ServiceNow India, has highlighted that high tokenization costs—the fees associated with running large AI models—are acting as a catalyst for smarter corporate adoption. Rather than seeing these costs as a deterrent, the company believes they are forcing enterprises to move beyond simple AI experiments and focus on building more efficient, context-aware workflows. This shift is helping ServiceNow move away from theoretical AI pilots toward practical, value-driven enterprise solutions.
Financial Growth and AI Traction
ServiceNow’s financial performance suggests this strategy is yielding results. In the second quarter of 2026, the company reported subscription revenue of $3.877 billion, marking a 24.5% year-over-year increase. A key highlight for investors is the company’s AI-related Annual Contract Value (ACV), which has surpassed the $1 billion milestone. The company has also raised its full-year 2026 subscription revenue guidance to a range between $15.760 billion and $15.780 billion, signaling confidence in its ability to monetize AI capabilities.
Competition and Market Positioning
ServiceNow is positioning itself as an 'AI control tower' for enterprises, emphasizing that effective AI relies on proper instructions, memory, and security guardrails rather than just the model itself. However, the company operates in a crowded market. It faces significant competition from established tech giants and software vendors including Microsoft, Salesforce, and Oracle, all of which are aggressively expanding their own AI and workflow automation offerings. The ability to integrate AI into existing enterprise workflows remains a central battleground for these companies.
Operational Risks and Future Outlook
While the growth trajectory appears positive, investors are closely watching potential risks that could affect profitability. Heavy investments in AI infrastructure, cloud partnerships, and strategic acquisitions to stay ahead in the tech race may lead to short-term margin pressure. Additionally, as enterprises become more selective about their AI spending due to the aforementioned token costs, ServiceNow must ensure its platform continues to deliver clear, measurable value to justify its premium position.
Looking ahead, the primary monitorables for shareholders will include the company's ability to convert its $1 billion-plus AI-related contract value into sustained revenue, its effectiveness in controlling infrastructure costs, and its performance against competitors in securing enterprise AI budgets. The company remains on track to meet its goal of $1.5 billion in AI-related revenue by the end of next year.