Teases new "outcome-based commercial models" for AI across its apps.
The explosion in demand for AI compute, driven by large language models and other generative AI applications, is leading to unprecedented backlogs in cloud infrastructure and specialized AI services.
Oracle's significant backlog highlights the immense capital expenditures still required to build out the AI compute infrastructure and indicates a robust, multi-year growth runway for foundational cloud providers.
The market perception of Oracle's competitive position in the AI cloud infrastructure race is strengthened, suggesting they are capturing a substantial share of new AI-driven workloads and investment flows.
- · Oracle
- · Cloud Infrastructure Providers
- · AI-focused Software Vendors
- · Hyperscalers
- · Companies underestimating AI infrastructure costs
- · Legacy on-premise IT vendors
Oracle's revenue and market share in cloud and AI services will continue to grow significantly in the coming years.
Demand for specialized hardware, GPUs, and sustainable energy solutions to power these data centers will intensify, impacting supply chains and energy markets.
The 'outcome-based commercial models' could redefine how enterprises consume and pay for AI, potentially accelerating adoption but also concentrating power with cloud providers who own the full stack.
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Read at The Stack