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WireSift Research · AI Adoption Tracker · Q4 2025

ORCLOracle Corporation

AI revenue and adoption · Q4 2025 earnings call

Information TechnologyMonetizing
AI mentions
39
extracted from this call
Max specificity
5 / 5
financialized — dollar / segment level
AI revenue
Disclosed
qualitative only
AI was central to Oracle's Q3 FY26 earnings narrative across three dimensions: AI infrastructure (GPU/data center buildout with 243% YoY revenue growth), AI embedded in applications (1,000+ agents live in Fusion, hundreds in banking suite), and AI as a competitive moat against SaaS disruption fears. Management quantified RPO at $553B, AI infrastructure gross margins at 32%, and multicloud database growth at 531% YoY, with AI cited as a key demand accelerator. Oracle positioned itself as a disruptor rather than a disruption target, arguing that embedding AI into mission-critical SaaS applications at no additional cost strengthens rather than threatens its competitive position.
AI Revenue Disclosure
Growth
243
Method: qualitative only
AI infrastructure revenue grew 243% year over year.
Public Company AI Adoption Index
Adopter
See full leaderboard →
Composite
88/ 100
#7 overall · #7 in Information Technology
Depth · 40%
100
stage: monetizing · max spec: 5
Disclosure · 40%
70
rev: qualitative_only +243% · 6 quant outcomes
Breadth · 20%
100
4 scopes
Adoption scopes:infrastructure_buildproduct_embeddedproduct_standaloneinternal_use
Every claim, sourced

39 AI mentions from this call.

Extracted verbatim from the ORCL Q4 2025 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.

  • T5Q&A· CEO· Infrastructure build
    Analyst questionparaphrased· Sanford Bernstein· Mark Moerdler
    can you explain, given the blend of the cost of building out the AI data center and the cost of raising capital to fund the AI data center, how comfortable are you with the values you are creating from the AI data center business itself?
    our multicloud database business, that that is a much higher-margin business—more in the 60% to 80% range. It is growing very, very rapidly.
    Clay Magouyrk, ORCL earnings call
    ProductsOracle Database Cloud Services
  • T5Prepared remarks· CEO· Infrastructure build
    Demand for AI infrastructure, both GPU and CPU, continues to exceed supply. This is directly visible in our $553 billion RPO.
    Clay Magouyrk, ORCL earnings call
    ProductsOCI AI Infrastructure
  • T5Prepared remarks· CEO· Infrastructure build
    Looking at the AI capacity we delivered in Q3, our gross margin for that remained above our 30% guidance at 32%.
    Clay Magouyrk, ORCL earnings call
    ProductsOCI AI Infrastructure
  • T5Prepared remarks· CEO· Infrastructure build
    We have signed more than $29 billion of contracts since then, across multiple customers using that new model.
    Clay Magouyrk, ORCL earnings call
  • T5Q&A· CEO· Infrastructure build
    Analyst questionparaphrased· Sanford Bernstein· Mark Moerdler
    can you explain, given the blend of the cost of building out the AI data center and the cost of raising capital to fund the AI data center, how comfortable are you with the values you are creating from the AI data center business itself?
    we see gross margin in the 30% to 40% range on that. That continues to hold for us.
    Clay Magouyrk, ORCL earnings call
    ProductsOCI AI Infrastructure
  • T5Prepared remarks· CEO· Product-embedded AI
    Multicloud database revenue grew 531% year over year.
    Clay Magouyrk, ORCL earnings call
    PartnersMicrosoft, Google, Amazon
    ProductsOracle Database Cloud Services
  • T5Prepared remarks· CEO· Infrastructure build
    AI infrastructure revenue grew 243% year over year.
    Clay Magouyrk, ORCL earnings call
    ProductsOCI AI Infrastructure
  • T4Q&A· CEO· Infrastructure build
    Analyst questionparaphrased· Sanford Bernstein· Mark Moerdler
    can you explain, given the blend of the cost of building out the AI data center and the cost of raising capital to fund the AI data center, how comfortable are you with the values you are creating from the AI data center business itself?
    in these AI data centers, whether it be for inferencing or for training work, the only thing being procured is not AI accelerators. There is a lot of general-purpose compute. There is a lot of, whether it be high performance or large-scale blob storage. There is load balancing. There are identity and security products, etc. That is typically on the order of 10% to 20% of the total spend that ends up going to adjacent services.
    Clay Magouyrk, ORCL earnings call
    ProductsOCI AI Infrastructure
  • T4Prepared remarks· CEO· Infrastructure build
    We now have 33 regions live with Microsoft and 14 live with Google. We delivered significant growth with AWS, beginning Q3 with two AWS regions live, exiting Q3 with eight AWS regions live; we will exit Q4 with 22 AWS regions live.
    Clay Magouyrk, ORCL earnings call
    PartnersMicrosoft, Google, Amazon, AWS
    ProductsOracle Database Cloud Services
  • T4Prepared remarks· CEO· Infrastructure build
    Through our partners, we have secured more than 10 gigawatts of power and data capacity coming online over the next three years.
    Clay Magouyrk, ORCL earnings call
  • T4Prepared remarks· CEO· Infrastructure build
    In Q3, we delivered more than 400 megawatts to customers. 90% of that committed capacity was delivered on or ahead of schedule
    Clay Magouyrk, ORCL earnings call
  • T4Prepared remarks· CEO· Infrastructure build
    greater than 90% of that capacity is fully funded through our partners, with the remainder planned to finish this month.
    Clay Magouyrk, ORCL earnings call
  • T4Prepared remarks· CEO· Infrastructure build
    We have tripled our manufacturing sites and increased rack output by 4x all in the last year.
    Clay Magouyrk, ORCL earnings call
  • T3Q&A· CEO· Standalone AI product
    Analyst questionparaphrased· Mizuho· Siti Panigrahi
    How confident are you in seeing the inflection in your AI Database growth that you talked about at the Analyst Day in October?
    we have our AI Data Platform product. This is really about solving this exact problem. You have a lot of data—it may be application data, it may be custom data in different data lakes and lake houses, it may be data in a structured database. All of that together gives you an agentic platform to quickly build applications on as well as access to all of the greatest models from multiple providers.
    Clay Magouyrk, ORCL earnings call
    ProductsOracle AI Data Platform
  • T3Q&A· CTO· Product-embedded AI
    Analyst questionparaphrased· Deutsche Bank· Brad Zelnick
    how do you see Oracle Corporation's role evolving in a world where many other players are vying to be the AI interaction layer across multiple different enterprise systems and workflows?
    We plan, in our Fusion accounting system, for example, we will have a complex agent that does something called the close. So when you close your books with Fusion in the not-too-distant future, it will be an autonomous agent—no human beings involved. You will close your books by simply telling the AI agent to go ahead and close the books, and then you will get your results.
    Lawrence Ellison, ORCL earnings call
    ProductsFusion, AI Agent Studio
  • T3Prepared remarks· CEO· Product-embedded AI
    we provide a comprehensive AI-powered SaaS platform, including everything from commercial banking, retail banking, investment banking, anti-money laundering, financial crimes and compliance, payments, supply chain financing, CX, ERP, and HCM. That banking suite alone contains hundreds of embedded AI agents, all available at no additional cost to our customers.
    Mike Cecilia, ORCL earnings call
    ProductsOracle Banking SaaS Platform
  • T3Prepared remarks· CEO· Product-embedded AI
    AI is also accelerating the adoption of our database cloud services. The rapid improvement in model coding skills and agentic abilities pushes customers to move their most valuable data into our cloud services. They need access to the latest AI features, to support vector embedding, MPT server access, and advanced security controls.
    Clay Magouyrk, ORCL earnings call
    ProductsOracle AI Database, Oracle Database Cloud Services
  • T3Q&A· CTO· Standalone AI product
    Analyst questionparaphrased· Deutsche Bank· Brad Zelnick
    how do you see Oracle Corporation's role evolving in a world where many other players are vying to be the AI interaction layer across multiple different enterprise systems and workflows?
    What the AI Data Platform does is it provides a complete integrated development environment where you can build your own agents using any AI model that is in the Oracle Cloud. And that is basically all of the popular AI models. You can use it for coding the agent. You can use it to do multistep reasoning for queries.
    Lawrence Ellison, ORCL earnings call
    ProductsOracle AI Data Platform
  • T3Prepared remarks· CEO· Product-embedded AI
    our brand-new AI-powered EHR—electronic health record—system is live in the market and the results are quite clear. We are reducing administrative overhead, we are allowing clinicians to see more patients, we are improving access to care, and we are increasing provider satisfaction.
    Mike Cecilia, ORCL earnings call
    ProductsAI-powered EHR
  • T3Prepared remarks· CFO· Internal use
    Using Oracle Fusion, we continue to close and file our financial results faster than any other company in the S&P 500, providing us with a significant strategic advantage as well as an opportunity to help our Fusion customers do the same with their businesses.
    Doug Caring, ORCL earnings call
    ProductsOracle Fusion
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Deutsche Bank· Brad Zelnick
    You have introduced AI Agent Studio inside of Fusion... how do you see Oracle Corporation's role evolving in a world where many other players are vying to be the AI interaction layer across multiple different enterprise systems and workflows?
    The AI Agent Studio that we have released in Fusion is not just specific to Fusion data. You can build AI agents across our industry applications, across third-party applications. Third parties can build AI agents in there.
    Mike Cecilia, ORCL earnings call
    ProductsAI Agent Studio, Fusion
  • T3Prepared remarks· CEO· Standalone AI product
    Embracing AI with small engineering teams, we have just built three brand new CX applications: lead generation and qualification, sales orchestration and automated selling, and our new website generator.
    Mike Cecilia, ORCL earnings call
    Productslead generation and qualification, sales orchestration and automated selling, website generator, oracle.com
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Guggenheim· John DiFucci
    can you talk about what seems to be an underlying momentum building in these businesses?
    the fact that we are training so many models on OCI and closely provisioned for applications allows us to embed very high-quality AI services right into our applications as features.
    Mike Cecilia, ORCL earnings call
    ProductsOCI
  • T3Prepared remarks· CEO· Infrastructure build
    We continually offer the latest in accelerators, from the most recent NVIDIA and AMD options to emerging designs from companies like Cerebras and PowerCharm.
    Clay Magouyrk, ORCL earnings call
    PartnersNVIDIA, AMD, Cerebras, PowerCharm
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Barclays· Raimo Lenschow
    the theme of SaaS software, application software—'Is AI going to kill it?'
    we have a thousand AI agents already live in Fusion. Our banking suite alone has hundreds of AI agents just inside our banking solution.
    Mike Cecilia, ORCL earnings call
    ProductsFusion, Oracle Banking SaaS Platform
  • T3Prepared remarks· CEO· Product-embedded AI
    we have already delivered well over 1,000 agents right inside our horizontal back-office and industry applications.
    Mike Cecilia, ORCL earnings call
    ProductsFusion
  • T3Prepared remarks· CEO· Customer demand signal
    Rhombus selected OCI Compute, Networking, and Storage for AI video and security across all of their workloads.
    Mike Cecilia, ORCL earnings call
    ProductsOCI Compute, OCI Networking, OCI Storage
  • T3Prepared remarks· CEO· Customer demand signal
    Lockheed Martin selected OCI high-performance compute to scale AI across their environments efficiently.
    Mike Cecilia, ORCL earnings call
    ProductsOCI High-Performance Compute
  • T3Prepared remarks· CEO· Customer demand signal
    Claro Brazil selected OCI Alloy for Sovereign AI.
    Mike Cecilia, ORCL earnings call
    ProductsOCI Alloy
  • T2Q&A· CEO· Infrastructure build
    Analyst questionparaphrased· JPMorgan· Mark Murphy
    as Oracle Corporation transitions to higher levels of AI inferencing, what do you view as the right strategy for trying to optimize the location of your data centers?
    that is why you are seeing so much innovation going on around these AI accelerators. If you look at what GROQ does, or Cerebras, or Positron—all of these different types of companies are saying, well, not only how do we reduce the cost of inferencing, but also how can we significantly reduce the latency of it?
    Clay Magouyrk, ORCL earnings call
    PartnersGROQ, Cerebras, Positron, NVIDIA
  • T2Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Barclays· Raimo Lenschow
    the theme of SaaS software, application software—'Is AI going to kill it?' I just wanted to hear what you guys are hearing when you talk with customers.
    I have not yet met a customer who tells me they are ready to give away their retail merchandising system, their core banking system, demand deposit account systems, electronic health records systems, and some cobbling together of niche AI features are going to replace all of that overnight.
    Mike Cecilia, ORCL earnings call
  • T2Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Guggenheim· John DiFucci
    can you talk about what seems to be an underlying momentum building in these businesses?
    the fact that we are the custodian in our applications business of so much of the world's mission-critical data, and we have very close provisioning—very close proximity—to these models, putting those two things together allows customers to get value from AI very, very quickly.
    Mike Cecilia, ORCL earnings call
  • T2Q&A· CEO· Infrastructure build
    Analyst questionparaphrased· JPMorgan· Mark Murphy
    as Oracle Corporation transitions to higher levels of AI inferencing, what do you view as the right strategy for trying to optimize the location of your data centers?
    inferencing is very rapidly growing everywhere and anywhere. I think it is because of higher and higher utilization of the models themselves and also new use cases—as anyone who has been using Claude or Codex recently in the software space knows.
    Clay Magouyrk, ORCL earnings call
    PartnersAnthropic, OpenAI
  • T2Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Guggenheim· John DiFucci
    can you talk about what seems to be an underlying momentum building in these businesses?
    Our sovereign story is not new, and it is not a knee-jerk reaction to things that are happening in the world. Combined together with our Alloy story, we are really seeing increasing pipeline across the world.
    Mike Cecilia, ORCL earnings call
    ProductsOCI Alloy
  • T2Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Mizuho· Siti Panigrahi
    what are you hearing from customers about training their private data and building their private LLMs?
    what I think is incredibly popular and growing in popularity is people taking the best models and wanting to combine that in a private way with their private data. And we are seeing a lot of demand for that.
    Clay Magouyrk, ORCL earnings call
    ProductsOracle AI Database, Oracle AI Data Platform
  • T2Prepared remarks· CEO· Internal use
    The use of AI coding tools inside Oracle Corporation is enabling smaller engineering teams to deliver more complete solutions to our customers more quickly.
    Mike Cecilia, ORCL earnings call
  • T2Q&A· CTO· Product-embedded AI
    Analyst questionparaphrased· Deutsche Bank· Brad Zelnick
    how do you see Oracle Corporation's role evolving in a world where many other players are vying to be the AI interaction layer across multiple different enterprise systems and workflows?
    That is what AI is allowing us to do: to expand our horizons for the scope of the suites of the SaaS software we are building to automate entire ecosystems.
    Lawrence Ellison, ORCL earnings call
  • T2Prepared remarks· CEO· Product-embedded AI
    I do think that AI tools and their coding capabilities would be a threat if we were not adopting them, but we are—and very rapidly.
    Mike Cecilia, ORCL earnings call
  • T2Prepared remarks· CEO· Product-embedded AI
    We are building brand new SaaS products using AI and also embedding AI agents right into our existing applications and suites.
    Mike Cecilia, ORCL earnings call
Q&A Dynamics

What management wouldn’t quantify.

Analyst questions where management declined to share a specific number. The pattern of refusals is often as informative as the disclosures.

  1. AI infrastructure revenue absolute dollar amount not disclosed; only YoY growth rate (243%) provided.
  2. Multicloud database revenue absolute dollar amount not disclosed; only YoY growth rate (531%) provided.
  3. No breakdown of AI revenue as a percentage of total OCI or total company revenue.
  4. CapEx guidance for FY27 explicitly deferred to post-fiscal-year-end; no specific figure provided despite direct analyst question (Guggenheim).
  5. Number of AI infrastructure customers not disclosed; described only as 'hundreds of the most advanced AI customers.'
  6. No disclosure of the dollar value of AI-specific bookings within total RPO of $553B.
  7. Gross margin range for AI infrastructure given as 30%-40% guidance range; Q3 actual was 32% but no forward trajectory quantified.
  8. AI Agent Studio adoption metrics (customer count, usage) not disclosed.
  9. No quantification of productivity gains from internal AI coding tool usage beyond qualitative 'smaller teams, more output.'
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Sourced from primary documents · See the methodology for the extraction approach.