ServiceNow’s stock plunged 18% in early trading after it announced its Q3 2026 results on Wednesday. It has since dropped further to 27%, marking the company’s largest drop on record.
On paper, it was another beat. During the Q3 earnings call, ServiceNow detailed that subscription revenue had grown 21%, ahead of the company’s own guidance, and its AI target has been raised for the second time this year.
But investors weren’t buying it…
For anyone building a career on the Now Platform, this matters more than a bad day on Wall Street. The market is questioning whether AI makes software companies like ServiceNow more valuable, or slowly eats into them. The answer will shape which skills, products, and projects ServiceNow pushes over the next few years.
Where Was the Market Unhappy?
The market’s unhappiness stemmed from three key areas of concern:
Growth Is Expected to Slow, Not Speed Up
The biggest problem was the outlook. ServiceNow expects contracted revenue for the next 12 months to grow 18.5% next quarter, down from 21% this quarter.
Management had reasons: some renewals were signed early in Q3, more deals were on-premise, and part of the new backlog isn’t counted in that figure. But after a year of hearing that AI would accelerate the business, investors wanted to see the line going up.
Bill McDermott’s answer was that the “true acceleration” will come in 2027. For a market that has been told to wait before, that was the wrong answer.
“The strategy is working. We have tangible AI monetization.”
Bill McDermott, CEO, ServiceNow
AI Is Getting More Expensive to Run
ServiceNow now keeps about 80 cents of every subscription dollar as gross profit, down from 83 cents a year ago. ServiceNow didn’t spell out why, but it lines up with customers running far more AI on the platform, which costs real money to serve.
CFO Gina Mastantuono also said ServiceNow is spending on deployment support to get large AI deals live faster, a cost she said won’t last long-term.
A Small Miss on Profit
Adjusted earnings came in at $1.00 a share, a cent below what analysts expected. On its own, that’s just noise, but it added to the sense of a company spending more to grow at the same pace.
What Went Right?
In my opinion, this is where the sell-off looks overdone.
- AI is selling. ServiceNow raised its 2026 AI contract target to $1.7B, up 70% since January.
- Customers are using it. Agentic AI running in production is up more than 13x this year.
- Big customers keep getting bigger. The number of deals worth over $5M in new annual value more than doubled.
- It’s doing it cheaply. ServiceNow cut capex and raised its free cash flow target, at a time when Microsoft and Google are spending tens of billions a quarter on data centres.
It also used the night to expand its OpenAI partnership, including a ServiceNow plugin for ChatGPT, and to launch a Control Tower Alliance with Anthropic, AWS, Nvidia, OpenAI and others. “Q3 is the banner achievement to date,” said Bill McDermott, ServiceNow’s CEO. “The strategy is working. We have tangible AI monetization.”
What Does This Mean for ServiceNow Professionals?
A falling share price doesn’t change what your customers are buying. If anything, this quarter showed where the work is heading.
Governance Is the New Core Skill
ServiceNow is betting the company on being the place where every agent is governed, whoever built it. The Super Intelligence Control Tower, the new AI Passport for checking what agents are allowed to do, and the kill-switch and remediation features all point the same way.
Architects and developers who can design agent permissions, audit trails, and guardrails across platforms will be in demand, while those who only know classic ITSM configuration may feel the squeeze.
Consumption Changes How You Build
ServiceNow says customers like the predictability of seat pricing, so seats aren’t going anywhere. But AI usage now sits on top, and with production usage up 13x, someone has to watch what agents cost to run.
Expect more questions from customers about usage monitoring, cost forecasting, and designing flows that don’t burn through AI assists.
Security and Low-Code Agents Open New Doors
The Armis and Veza acquisitions now feed straight into the platform through Autonomous Security, which turns security into a ServiceNow workload, not a separate tool. Meanwhile, EmployeeWorks lets employees build agents with no code, and ToolSmith gives developers a place to build AI tools quickly.
That’s good news for partners and implementers: more ground to cover, and more big deals that need hands-on help to go live.
The flip side is internal. ServiceNow says it has found over $1B in efficiency from using AI itself, and pressure on the stock rarely makes companies hire faster.
Are We Re-entering the SaaSpocalypse?
It certainly feels like it. ServiceNow’s stock had already roughly halved in the year to January, and it fell sharply after its results in January and April too.
But look at the same night’s results from the cloud giants. Microsoft’s Azure grew 48%, and its stock rose, while Google Cloud more than doubled. Investors are happy to pay for AI infrastructure, where demand is visible right now. They’re far less patient with software companies asking them to wait for next year.
That’s not the same as customers walking away. ServiceNow is still growing over 20% a year, renewals are strong enough to be signed early, and its biggest customers are spending more, not less.
So is this the SaaSpocalypse again? For the stock, arguably yes. For the business and the people who build on it, far from it… at least not yet.
Final Thoughts
This was a decent quarter judged by an impatient market. ServiceNow is selling more AI than ever, but it hasn’t yet shown that AI speeds up its growth, and it’s paying more to serve it.
The next test arrives quickly – Salesforce reports in a few weeks, and will face exactly the same question. For ServiceNow, the numbers to watch are whether contracted revenue growth stops slowing, and whether that 2027 acceleration starts showing up in the guidance.
In the meantime, the skills the platform needs are getting clearer, not murkier: governance, security, and AI that customers can trust. Watch this space.