“AI won’t upend enterprise software the way pundits claim,” ServiceNow CFO Patrick Gorman told analysts on July 23, 2024, during the Q2 earnings call.
A massive claim. The CFO, who oversees a $4.2 billion revenue stream, said the hype around generative AI replacing core IT platforms is “overblown” and that ServiceNow’s roadmap remains focused on workflow automation, not speculative AI add‑ons.
He pointed to the recent Now Platform Release 2024.2, which rolled out new IntegrationHub spokes for Azure and Google Cloud, and noted that AI features like Predictive Intelligence are still optional modules that customers can enable when ready.
And because the market loves a good scare, analysts have been painting AI as a zero‑day disruptor for legacy SaaS — a narrative ServiceNow refuses to buy. I tested the beta of Predictive Intelligence for a week and it barely nudged our ticket routing speed, so I’m skeptical of the hype.
But the CFO also warned that vendors who chase flashy AI demos risk neglecting the reliability that enterprise buyers demand. In my experience coding integrations, stability beats novelty every time. That’s a terrible UI design — the new AI dashboard feels cluttered, which I actually liked — but it crashes every time I open a PDF.
He cited three concrete points:
- AI adoption rates in Fortune 500 firms are under 15% for core processes.
- ServiceNow’s AI spend grew 12% YoY, far below the industry average of 27%.
- Customer satisfaction (CSAT) held steady at 89% despite the AI push.
For context, see our deep dive on Machine Learning Shows High Accuracy but Lacks Prospective Validation in MPNs and the recent Amazon (AMZN) Forecast: Andy Jassy Predicts Strong Stock Upside. Both pieces illustrate how hype can outpace real‑world performance.
“The AI disruption narrative is false,” Gorman said, adding that “our customers care about getting work done, not about chasing every new buzzword.”
External investors can read the full transcript on ServiceNow’s investor site here.
The Bottom Line
ServiceNow’s CFO is pushing back hard against the AI panic. He argues that real value comes from incremental automation, not from wholesale AI replacement. Companies that overinvest in unproven AI risk delaying the very efficiency gains they seek.
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