Bloomberg Tech→ original

ServiceNow отчиталась о продажах выше прогноза и связала рост с AI-инструментами

ServiceNow отчиталась о квартальных продажах и bookings выше ожиданий аналитиков — и связала рост со спросом на свои новые AI-инструменты. Сильные новые контракты усилили надежды Уолл-стрит на то, что генеративный AI начинает приносить корпоративному софту реальные деньги, а не только обещания.

AI-processed from Bloomberg Tech; edited by Hamidun News
ServiceNow отчиталась о продажах выше прогноза и связала рост с AI-инструментами
Source: Bloomberg Tech. Collage: Hamidun News.
◐ Listen to article

ServiceNow reported on July 22, 2026 quarterly sales and new contract volume (bookings) above Wall Street's expectations and attributed the growth to demand for its new AI tools — according to Bloomberg Tech. ServiceNow is an American developer of a cloud platform for automating IT and business processes, used by major corporations.

What the quarterly report showed

ServiceNow beat analysts' forecasts on two key metrics at once: quarterly revenue and bookings — the volume of contracted but not yet recognized sales. According to Bloomberg Tech, it was precisely the beat on both figures that boosted investor hopes that the company's new AI products would accelerate its growth.

For a SaaS company at ServiceNow's scale, bookings are a leading indicator: they show future revenue before it is reflected in the earnings report. Strong bookings in the July 22, 2026 report mean that customers are signing bigger and longer contracts right now, rather than delaying decisions.

*Source — Bloomberg Tech, published July 22, 2026

*Quarterly sales — above Wall Street's consensus forecast

*Bookings (new contracts) — also above analysts' expectations

*Growth driver, according to the company — demand for new AI tools

Why the growth is linked to AI

Both the company itself and investors attribute ServiceNow's growth to demand for the new AI tools built into its enterprise workflow automation platform. ServiceNow positions them as a way to automate IT support, request processing, and internal processes for large customers — that is, to replace employees' routine work with AI agents.

The key question for the market is whether the hype around generative AI is turning into real money. The July 22, 2026 report became an argument in favor of the idea that it is: customers are paying for AI features, not just testing them in pilots. That is precisely why the Wall Street reaction to the figures, according to Bloomberg Tech, was positive, and the company separately emphasized the "strength of AI" in its results.

What this means for the software market

ServiceNow's strong report is a signal for the entire enterprise software segment: AI monetization is ceasing to be a promise and starting to show up in sales and contracts. ServiceNow is among the largest business process automation platforms, so analysts read its quarterly figures as an indicator of demand for AI across the entire enterprise segment, not just at one company.

This is part of a broader trend: major SaaS vendors are striving to prove that their built-in AI features generate revenue, not just raise expectations. The July 22, 2026 report adds ServiceNow to the list of companies managing to demonstrate this in numbers.

ServiceNow reported that quarterly sales and the volume of new contracts exceeded expectations, highlighting the strength of its AI products — as

Bloomberg Tech reports.

What this means

ServiceNow's July 22, 2026 report shows that enterprise customers are willing to pay for AI tools, and this is already visible in the sales and bookings of a major vendor. For the software market, this is one more confirmation that generative AI is starting to pay off in B2B, not only in consumer products.

ZK
Hamidun News
AI news without noise. Daily editorial selection from 50+ sources. A product by Zhemal Khamidun, Head of AI at Alpina Digital.

Want to stop reading about AI and start using it?

AI News is a curated feed of AI/tech news. Hamidun Academy teaches you to use AI systematically in your work.

What do you think?
Loading comments…