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Source document· November 2, 2025

ServiceNow: A Risky Bet on AI Agents

View original at finance.yahoo.com
ServiceNow: A Risky Bet on AI Agents This article first appeared on GuruFocus. It's no secret enterprises operate in complex systems. The average enterprise uses 360 different applications, which leads to siloed systems and disconnected data…
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  • Inference could account for 80-90% of the total electricity consumption of AI within the next decade

    80% confidence

  • ServiceNow's gross margin and operating cash yield have been higher than the industry average for the past five years

    80% confidence

  • Lower-than-anticipated monetization of AI Agents is in the realm of possibilities

    80% confidence

  • ServiceNow scored in the 98th percentile for financial performance among all Russell 3000 companies

    80% confidence

  • A single ChatGPT query consumes an estimated 2.9 watt-hours of electricity, nearly 10 times the 0.3 watt-hours of a standard Google search

    80% confidence

  • The average enterprise uses 360 different applications

    80% confidence

  • As our business grows, we expect our revenue growth rate to decline over the long term

    80% confidence

  • Lower-than-anticipated monetization of AI Agents is in the realm of possibilities

    80% confidence
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
AI Funding Surge: Capital Floods Fintech, Foundation Models, and Autonomous Systems
A concentrated burst of AI-linked funding on 2026-08-28 pushed well over $1.5B into companies spanning fraud/identity fintech (Socure, which also acquired Fravity), foundation models (Stability AI), AI agents and enterprise tooling (Instinct, Generalist AI, Emerald AI, Owner), and AI-adjacent autonomous/aerospace ventures (Gatik, Regent Craft). The breadth and simultaneity of these rounds signal that investor appetite for AI is not concentrated in a single vertical but is broadening into applied and infrastructure-adjacent domains, with consolidation (Socure-Fravity) beginning alongside fresh capital formation.
Our read on the data ›
Signals we're tracking
EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
Patterns we're watching ›
Where sources disagree
Morgan Stanley & Co. LLC
The same metric (eps) for the same entity (Morgan Stanley & Co. LLC) reported for the identical fiscal period (Q1 2026) and observation date (2026-03-31) has two conflicting values: 3.43 USD_per_share vs 3.08 USD. This is not a temporal change — both observations claim to measure the same point in time. The ~10% discrepancy (0.35 USD difference) is material for a financial metric.
We flag conflicts openly ›
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ServiceNow: A Risky Bet on AI Agents — Source | Via News | ViaNews EU