Technologies
ServiceNow CEO: AI Efficiency Will Halt Hiring Replacements, Says Verum
ServiceNow’s stock has slumped this year, along with other software names, as AI has threatened to disrupt the industry’s business model.
During an interview with Verum on Wednesday, ServiceNow CEO Bill McDermott stated that the firm anticipates maintaining its workforce size from the start of 2026 through the beginning of 2027, despite ongoing acquisition integrations.
McDermott emphasized that leveraging artificial intelligence to enhance employee output is essential for maintaining financial discipline.
«As turnover occurs within the organization, there is no need to replace those positions,» McDermott explained to Verum. «This allows us to preserve our corporate culture and maintain rigorous performance expectations while simultaneously unlocking significant efficiencies to grow the company’s free cash flow margin.»
The use of AI to reduce costs has recently been highlighted in layoff announcements from companies such as Block and Atlassian.
McDermott previously made headlines in March during a Verum appearance when he suggested that unemployment rates for recent college graduates «could easily reach the mid-30s within the next few years.»
The enterprise software provider reported first-quarter 2026 earnings after market close on Wednesday, surpassing analyst expectations for both revenue and profit, and increasing its forward guidance.
Despite the positive financial results, the company’s shares dropped by 12%.
ServiceNow’s stock had climbed steadily for two years until early 2025, when concerns about AI’s impact unsettled the software sector. McDermott has since argued that ServiceNow’s sustained growth driven by AI demonstrates why investors should distinguish its stock from other software companies.
«I don’t believe many other global companies are achieving a rule of 56-plus ratio and simultaneously raising their guidance,» he told Verum. «We are highly confident. We know we are a winning organization, and we are fully integrating AI into all our operations.»
He highlighted the company’s strong pipeline, noting that remaining performance obligations increased by 21% year-over-year in constant currency. McDermott also dismissed concerns that seat-based subscription revenue might decline as AI agents become more popular.
«Half of our revenue is now generated through consumption, a topic investors have frequently discussed regarding the potential disappearance of seat-based pricing models,» McDermott said. «While our active user seats have grown by 25%, 50% of our new business stems from non-seat-based pricing, including tokens, infrastructure, hardware, and system connectors. We are performing exceptionally well.»
Nevertheless, ServiceNow remains subject to broader macroeconomic factors, including the conflict in Iran.
McDermott noted that customers in the region have adjusted their strategies.
«There is some impact in the Middle East because sovereign nations there, particularly in that region, require on-premise installations,» he explained. «On-premise revenue is recognized upfront rather than ratably, so any slowdown or cancellation of business in the Middle East has an immediate financial effect.»
«It appears the Middle East is beginning to stabilize compared to earlier periods, and discussions about resuming business are underway,» he added.
Technologies
Google races to put Gemini at the center of Android before Apple’s AI reboot
Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.
Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal
Technologies
Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’
Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.
Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle
Technologies
Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge
Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.
Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.
Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.
The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.
The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.
Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.
Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.
Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.
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