ServiceNow’s CFO Rejects the AI Disruption Narrative as Software Buyers Demand Better Results

Gina Mastantuono argues that AI strengthens demand for enterprise software. ServiceNow’s growth supports part of that case, while the broader debate gives entrepreneurs a useful lesson in selling dependable outcomes.

The software still has to do the work

Imagine a business owner watching an AI assistant draft a customer response, summarize a contract, and recommend the next action. It looks like several software subscriptions might soon become unnecessary.

Then come the operational questions. Who can approve the recommendation? Where does the updated customer record belong? What happens if the assistant changes something it should not? The demonstration has produced an answer, but the business still needs a reliable process for acting on it.

That distinction sits at the center of ServiceNow President and CFO Gina Mastantuono’s response to fears about AI disrupting enterprise software. In an interview reported by Seeking Alpha, she argued that AI is supporting demand for ServiceNow’s core workloads and emphasized safeguards around enterprise deployment.

ServiceNow has growth behind its argument

ServiceNow reported third-quarter subscription revenue of $3.988 billion, up 21% from a year earlier. Its results provide evidence of continuing customer demand, although a growing business can still face competitive disruption.

ServiceNow’s third-quarter subscription revenue rose 21% year over year to $3.988 billion.

The company also ended September with $13.65 billion in current remaining performance obligations, representing contracted revenue expected to be recognized over the following twelve months.

A growth story does not settle every question

ServiceNow raised its year-end AI annual contract value target to $1.7 billion. A target expresses management’s expectations; it is neither achieved revenue nor proof of customer returns.

Investors remained concerned after the results. Reuters reported a sharp share decline as the profit miss and questions about subscription and backlog growth outweighed improved guidance. The reaction illustrates why customer demand and investor expectations deserve separate examination. A company can grow while falling short of the pace its valuation assumes.

Mastantuono’s position is also the argument of an executive whose company benefits from enterprise AI adoption. It deserves assessment against results, retention, costs, and customer outcomes over time. One quarter cannot establish that an entire software category is protected.

Generating an answer creates another set of responsibilities

The practical case for established software is straightforward. A customer-service response must connect to the right account. A refund needs authorization. An employee-access change requires permissions and a record of what happened.

AI may change how people initiate those tasks, but businesses still need to determine whether actions are accurate, appropriate, and completed. Software vendors that handle these responsibilities well have a credible role in an AI-enabled workflow.

That role should not be assumed permanent. Entrepreneurs can challenge cumbersome processes, simplify interfaces, or offer a more focused service. The commercial test is whether their alternative performs the whole job reliably enough for customers to adopt it.

Lessons for sales professionals and entrepreneurs

For sales professionals, ServiceNow’s argument offers a useful way to discuss AI without relying on novelty. Identify the complete customer task, including approvals, exceptions, and follow-up. Then demonstrate where the proposed tool improves that process.

A sales demonstration becomes more persuasive when it includes an awkward case. Show what happens when a customer record is incomplete, a request exceeds someone’s authority, or the system cannot establish an answer. Buyers can evaluate the product more realistically when they see how uncertainty is handled.

Entrepreneurs should apply the same discipline to their own software spending. Before replacing an existing tool, list the responsibilities it currently carries. Compare the proposed alternative on integration work, review time, maintenance, and reliability alongside the subscription price. A cheaper interface may still leave expensive work for employees.

For founders building AI products, choose a recurring problem and establish evidence of improvement. Track completed tasks, correction rates, customer retention, and delivery costs. Those measures make a stronger business case than the number of AI features released.

The next sale depends on dependable execution

Return to the owner impressed by the AI assistant. The buying decision becomes clearer once the demonstration reaches the approval, the customer record, and the completed action.

ServiceNow’s results challenge the idea that AI automatically makes enterprise software unnecessary. They leave open the harder competitive question of which providers will deliver the best combination of intelligence, reliability, and cost. For Salesfully’s audience, that is the useful place to focus: the work customers need completed and the evidence that your business can complete it well.