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Oracle and OpenAI Push AI Growth, Skip Funding Questions

Author : AI Generated28 Oct 2026Read : 0BeInCryptoBeInCrypto
AI Generated
28 Oct 2026Read : 0BeInCrypto
Oracle and OpenAI Push AI Growth, Skip Funding Questions

Inside the Oracle AI World Announcement

At the recent Oracle AI World event, Oracle co-CEO Clay Magouyrk joined OpenAI CEO Sam Altman on stage to showcase the deep integration of ChatGPT and Codex within Oracle's enterprise software ecosystem.

While both executives focused heavily on growing user adoption and operational efficiency, they notably avoided discussing how Oracle plans to fund its massive $664 billion contract backlog amidst rising infrastructure costs.

Measuring AI Adoption: How Oracle Uses OpenAI Tools

During the keynote presentation, Sam Altman shared that OpenAI's latest model iterations, including GPT-6, achieved some of the strongest adoption rates across software coding, enterprise management, cybersecurity, and scientific research.

Oracle presented detailed internal metrics demonstrating how its teams actively utilize OpenAI tools across daily workflows:

  • AI-Generated Software: Clay Magouyrk stated that AI models now write more than 70% of Oracle's own internal software.
  • ChatGPT Adoption: OpenAI's case study revealed 130,000 active ChatGPT users inside Oracle.
  • Codex Integration: More than 95,000 employees actively use Codex, OpenAI's dedicated coding assistant.
  • Research Efficiency: Oracle's talent acquisition team cut sourcing and research time by 98% using AI tools.

Oracle also announced plans to offer Jalapeño—an OpenAI custom chip designed to run pre-trained AI models—on Oracle Cloud Infrastructure (OCI). As reported by CNBC, Oracle aims to make database operations more actionable, potentially shifting revenue toward high-margin software products rather than relying solely on renting raw computing power.

The Elephant in the Room: Capital Spending and Cash Flow

Despite the product updates, the keynote did not address capital expenditures or balance sheet metrics, leaving investors to analyze underlying financial reports.

Building AI infrastructure requires significant capital, as reflected in Oracle's recent fiscal first-quarter financial results:

  • Negative Free Cash Flow: Oracle reported negative free cash flow of $5 billion for the fiscal first quarter.
  • Increased Capital Expenditure: Capital spending reached $28.5 billion during the quarter, up from $8.5 billion in the same period last year.
  • Stock Financing: Oracle completed a $20 billion common stock sale during the quarter to help manage capital needs.

Addressing analyst inquiries separately, Magouyrk noted that Oracle closed more than $30 billion in new AI contracts without requiring additional capital funding for those specific deals.

Renting Capacity vs. Building Software Growth

Oracle's total backlog—representing contracted revenue not yet recognized—stands at $664 billion. Financial research firm MarketWise estimates that OpenAI accounts for roughly half of that entire backlog.

AI model developers focus heavily on user adoption and technical capabilities, whereas cloud infrastructure providers must manage substantial capital expenditure and debt obligations.

This split highlights the core balance Oracle must maintain. If demand for OpenAI products remains strong, Oracle's backlog will steadily convert into recognized revenue, offsetting initial capital outlays. Conversely, if enterprise adoption slows or shifts toward alternative providers, the high customer concentration could represent a structural risk that investors will continue to monitor closely.

Source:BeInCryptoBeInCrypto
This content was generated by an Artificial Intelligence (AI) using third party data and does not an analysis or recommendation for the purchase or sale of digital assets, nor the promotion of digital asset investment. No warranty is made regarding the accuracy, adequacy, or reliability of the information provided.
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