ServiceNow Stock Jumps 6.5% as Software Investors Bet on AI Beneficiaries

ServiceNow shares closed up 6.5% on August 19, 2026, leading a broader software rally that also lifted Figma, Workday, and Adobe by 3% to 4% each. Investors are increasingly confident that established SaaS companies will benefit from enterprise AI spending rather than be wiped out by it. Analyst upgrades and mixed signals from OpenAI's revenue growth both contributed to the shift in sentiment, pushing the iShares Expanded Tech-Software Sector ETF up 1% on the day.

What happened

Data point	Detail
ServiceNow (NOW) close, Aug 19 2026	$127.20, up 6.5%
Figma, Workday, Adobe gains	3% to 4% each
iShares Tech-Software ETF (IGV)	+1%
BofA new ServiceNow price target	$150 (raised from $130), buy rating maintained
OpenAI Q2 2026 revenue	$6.7 billion, +18% from Q1
OpenAI Q2 2026 operating loss	$12.3 billion (up from $9.3 billion in Q1)
ServiceNow security and risk ACV	Crossed $1 billion last year

Bank of America analyst Tal Liani lifted his price target for ServiceNow to $150 from $130 on August 19, 2026, and reiterated a buy rating. He also raised targets for Figma, Workday, Adobe, and Snowflake. The common thread: all five companies have shown what Liani calls strong potential to monetize AI.

ServiceNow, which helps businesses automate internal workflows like HR onboarding and IT management, has a specific structural advantage according to Liani. It holds years of historical data on how its customers run their operations, which he believes positions it well to deploy agentic AI (AI that takes multi-step actions on a user’s behalf). He said the company also beat Wall Street’s expectations on current remaining performance obligations and subscription revenue in Q2.

Why does slowing OpenAI growth matter for software stocks?

The Wall Street Journal reported on August 18 that OpenAI told investors its Q2 revenue reached $6.7 billion, up 18% from Q1, but that its operating loss widened significantly to $12.3 billion from $9.3 billion the prior quarter. Investors found those figures disappointing.

Raymond James analyst Adam Tindle told MarketWatch that data points from AI companies have been “mixed” recently. Slowing momentum at OpenAI reduces what he called the “existential perceived threat” that AI could hollow out SaaS businesses. In other words: if frontier AI companies are not growing as fast as feared, they are less likely to displace the enterprise software tools businesses already pay for.

On August 19, CNBC reported that OpenAI CFO Sarah Friar told employees in an all-hands meeting that the company’s revenue run rate is up 35% quarter to date. OpenAI declined to comment publicly on any of these figures.

A broader sentiment shift in software

Benchmark analyst Yi Fu Lee described the move as more than a single-day bounce. “What is changing now is that the market is beginning to see improving conviction in the underlying fundamentals and the growing realization that software is becoming a beneficiary of enterprise-AI deployment rather than a victim of AI disruption,” he told MarketWatch. ServiceNow is his top large-cap software pick.

Lee also pointed to cybersecurity as a growing revenue driver for ServiceNow. The company’s security and risk business crossed $1 billion in annual contract value last year. He noted the work of Yevgeny Dibrov, who leads ServiceNow’s cybersecurity efforts, as a reason for confidence in that segment.

For businesses evaluating their own software stack, this matters: the tools you already use to run operations are increasingly where AI will get deployed, not replaced. Workflows built on platforms like ServiceNow may start absorbing AI capabilities rather than competing with standalone AI products. If you are thinking about how AI integration fits into your existing business systems, the analyst thesis here is that incumbent data-rich platforms have a real head start.

Our take

The market narrative has flipped faster than expected. A year ago, the prevailing fear was that ChatGPT-style tools would make subscription software obsolete. Now, analysts are arguing the opposite: that companies sitting on proprietary workflow data are the ones best placed to make agentic AI actually work in an enterprise context. That is a reasonable case, not just a hype cycle reversal.

The OpenAI numbers are interesting from a different angle. Revenue growing 18% quarter over quarter sounds strong, but widening losses of $12.3 billion suggest the economics of frontier AI are still extremely difficult. For business owners watching this space, the practical read is: the AI tools most likely to stick around and compound value inside your operations are probably ones attached to data you already own or platforms you already use, not the newest model release.

We cover the ongoing shifts in AI and what they mean for real business decisions across our AI news coverage. If you want to talk through where AI fits in your own stack, our team is easy to reach.

Source: Bing News · OpenAI