Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

2 Artificial Intelligence (AI) Stocks With High Conviction

MIT’s bioinspired device mimics remora fish suction

Windsurf Engineer Details Exploding Google Offer

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Industry AI
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
Finance AI

Microsoft’s strong quarterly earnings show no sign of AI disillusionment—or a Trump tariff hit

By Advanced AI EditorJuly 1, 2007No Comments6 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


The AI juggernaut rolls on, at least for now. That was the clear message from Microsoft’s quarterly earnings yesterday.

The company handily beat Wall Street analysts’ consensus forecasts for both revenue and profit growth, and provided more buoyant guidance for its next quarter than expected too.

Microsoft shares jumped on the news, gaining as much as 9% in after-hours trading on Wednesday evening. The boost was a relief to shareholders, who have weathered a 5.5% slide in the company’s shares so far this year.

The news is also likely to be a comfort to the entire AI sector—evidence that companies are not souring on the much-hyped technology.

It remains to be seen whether inertia explains Microsoft’s strong performance.

Cloud computing contracts cannot easily be canceled. The company may yet see a negative impact from the economic uncertainty U.S. President Donald Trump’s tariffs have caused.

But it could well be that even in the face of a tariff-induced downturn, cloud computing and artificial-intelligence spending will prove resilient, with organizations prioritizing spending on digital transformation and automation even as they cut back on things like business travel and advertising.

“When it comes to cloud migrations, we saw accelerating demand with customers in every industry from Abercrombie & Fitch to Coca-Cola and ServiceNow, expanding their footprints on [Microsoft’s cloud computing platform] Azure,” Microsoft CEO Satya Nadella told analysts on the company’s earnings call yesterday.

Meanwhile, Amy Hood, Microsoft’s chief financial officer, said that “demand signals” across the company’s business lines had shown no signs of weakening in the past month, an indication that Microsoft may not take a hit from Trump’s tariffs.

Dan Romanoff, an analyst at Morningstar who covers the company, noted that the company’s commercial bookings grew 17% year over year when measured in constant currency, and that “remaining performance obligations”—the amount of money in cloud computing contracts that the company has booked but that have not yet been recognized as revenue—increased an impressive 34% year over year to $315 billion.

There was also no indication anywhere in Microsoft’s financials of any general disillusionment with AI on the part of the company’s customers, despite news reports that some businesses have found it difficult to achieve the productivity gains and return on investment they hoped the technology would produce.

On the contrary, Microsoft saw revenue at its Azure cloud unit grow 33% in the quarter, well ahead of analyst forecasts of 29%. The company said 16% of that gain could be attributed to AI-related spending, up from 13% in the prior quarter.

Story Continues

The company also reported it had seen a major new cloud commitment from OpenAI. That seemed to belie news reports of significant tension in the partnership between Microsoft and the ChatGPT creator, in which Microsoft is a major investor.

Although Microsoft retains a right of first refusal on any additional data center capacity the AI startup needs, OpenAI has turned to Oracle to provide the cloud computing infrastructure for Project Stargate, OpenAI’s partnership with Japan’s Softbank that will spend $500 billion on new data centers in the U.S. by 2029.

Microsoft’s decision not to provide data centers for Project Stargate, combined with reports that Microsoft had cancelled plans to lease data center capacity with a number of providers, including CoreWeave, had led to speculation that Microsoft was seeing weaker demand for AI-related software and services than it had previously anticipated.

But in yesterday’s earnings call, the company said it has spent $21.4 billion on capital expenditures in the past quarter, a figure that includes leasing data center capacity, and that it was still on track to spend $80 billion on capex for the year. Hood told analysts that capital spending would continue to rise next year too, although the rate of increase would slow from the 57% clip that the company is expected to report for the current fiscal year, which ends in June.

Nadella told analysts that the company is adjusting where it leases data centers to try to meet demand with the right kind of infrastructure in the right geographies, and that this was the reason for some of the cancellation of data center leases, not that overall AI demand was slowing.

He seemed to suggest that a trend towards companies using smaller AI models and AI models whose capabilities are derived from spending more computing power at the time of inference as opposed to during the initial training of the model, was causing the company to rethink what size data centers it needed and where they should be located. Those developments, already underway, had been spotlighted by the debut of the R1 AI model from Chinese startup DeepSeek earlier this year.

“You don’t want to be upside down on having one big data center in one region when you have a global demand footprint,” he said. Hood added that decisions on data centers involved a “very long lead time”—between two and seven years, she said—“so we’re constantly in a balancing position as we watch demand curves.”

Jason Wong, distinguished vice president analyst at tech research firm Gartner, forecast that generative AI spending would remain strong through 2028. He also noted that Microsoft has not had enough data center capacity to fulfill all the AI demand from its customers so far and is still trying to build out enough capacity to meet that demand. “Microsoft Azure has been capacity constrained over recent years and their investments have always been for the long term,” he said.

The buildout in data centers has continued to pressure Microsoft’s profit margins. The company said its gross margin is 69%, down one percentage point from a year earlier. The fall is attributed to the company’s spending on AI infrastructure. But for now, investors seem untroubled by the slight margin compression.

Microsoft’s total revenue for the past quarter topped $70 billion, 2.3% ahead of consensus forecasts. Operating income was $32 billion, 6% ahead of analysts’ consensus projections, while earnings per share were $3.46, well ahead of the $3.22 analysts had predicted.

Update, May 1: This story has been updated to include comment from Gartner analyst Jason Wong.

This story was originally featured on Fortune.com



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleIBM, ServiceNow, T-Mobile: Earnings movers
Next Article Asian shares fall after a quiet day on Wall St, but Nvidia hit by US ban on exporting AI chip
Advanced AI Editor
  • Website

Related Posts

I sat in on an AI training session at KPMG. It was almost like being back at journalism school.

July 26, 2025

How AI is transforming the lives of neurodivergent people

July 26, 2025

Huawei shows off AI computing system to rival Nvidia’s top product

July 26, 2025
Leave A Reply

Latest Posts

David Geffen Sued By Estranged Husband for Breach of Contract

Auction House Will Sell Egyptian Artifact Despite Concern From Experts

Anish Kapoor Lists New York Apartment for $17.75 M.

Street Fighter 6 Community Rocked by AI Art Controversy

Latest Posts

2 Artificial Intelligence (AI) Stocks With High Conviction

July 27, 2025

MIT’s bioinspired device mimics remora fish suction

July 27, 2025

Windsurf Engineer Details Exploding Google Offer

July 27, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • 2 Artificial Intelligence (AI) Stocks With High Conviction
  • MIT’s bioinspired device mimics remora fish suction
  • Windsurf Engineer Details Exploding Google Offer
  • DOGE has built an AI tool to slash federal regulations
  • Who is Lamini Fati, the teenaged Leganés defender set to sign for Real Madrid?

Recent Comments

  1. GeraldDes on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  2. binance sign up on Inclusion Strategies in Workplace | Recruiting News Network
  3. Rejestracja on Online Education – How I Make My Videos
  4. Anonymous on AI, CEOs, and the Wild West of Streaming
  5. MichaelWinty on Local gov’t reps say they look forward to working with Thomas

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.