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Oracle accelerates its bet on AI and briefly pushes Larry Ellison past Elon Musk in wealth

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Oracle experienced a stock surge following announcements and strategic partnerships related to artificial intelligence in 2025. The integrations with NVIDIA and AMD, along with Oracle Database 23ai and AI tools in OCI, boosted the company’s valuation and, at times, temporarily elevated Larry Ellison’s net worth above Elon Musk in real-time rankings.

Announcements and Timeline in 2025

In March and June 2025, Oracle formalized collaborations and product enhancements focused on AI initiatives. The announcements and hardware-software integrations triggered a positive investor response, reflected in the rise of ORCL shares and upward analyst revisions.

Products and Technological Integrations

Oracle incorporated AI capabilities into its database and cloud infrastructure, facilitating enterprise use of AI models and vector searches. The products and services aim to simplify AI workflow implementation and improve efficiency in enterprise environments.

NVIDIA Integration

In March 2025, a joint statement with NVIDIA highlighted the integration of NVIDIA AI Enterprise software, accelerating inference and vector search operations in Oracle Database, combining NVIDIA’s software power with the advanced capabilities of Oracle’s database.

AMD Support and OCI Hardware

In June 2025, Oracle announced AMD support, integrating AMD Instinct MI355X GPUs into Oracle Cloud Infrastructure (OCI). This integration is designed to enhance AI workload performance through a combination of cloud hardware and optimized software.

Oracle Database 23ai and OCI AI Blueprints

Oracle Database 23ai and OCI AI Blueprints are proprietary products that simplify AI workflow and search implementations, forming part of a comprehensive strategy that combines database software, cloud tools, and external hardware support.

Market Impact and Larry Ellison’s Net Worth

The relationship between Oracle’s valuation and Larry Ellison’s net worth was evident when real-time indices showed his wealth temporarily surpassing Elon Musk. Media outlets such as Fortune, Bloomberg, and Forbes reported on how Ellison’s net worth was affected by movements linked to the ORCL stock surge.

AI

Conclusion

The Oracle stock rally and its effect on Ellison’s net worth illustrate how the AI infrastructure race redistributes financial value and technological power. The episode raises practical implications for competition and centralization: in the short term, partnerships enable enterprise deployments and reduce operational costs, but in the medium term, they increase technology dependency risks, driving demand for open and decentralized alternatives to protect data sovereignty.

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Noos sets September 5 mainnet launch as it moves AI agent infrastructure on-chain

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Noos said its mainnet will go live at 00:00 UTC on September 5, 2026, marking the project’s shift from testnet operation to an on-chain environment for AI agent execution, collaboration, verification and value settlement.

The announcement was published on Noos’ official blog, which described the launch as a step toward the AI agent economy rather than a simple network transition. The post said the project has spent 159 days building on testnet ahead of mainnet.

In a separate post on Noos’ official X account, the team said the move will bring those functions fully on-chain once mainnet opens. The same materials say Noos has been working across ecosystem partners, nodes, users and communities ahead of launch.

Testnet phase set the backdrop for launch

Noos said its testnet began on March 20, 2026 and continued for 159 days. During that period, the project said it completed phased testing of core infrastructure that includes AI Agents, AI Skills, Genesis AIDs and the IVN validation network.

The project also said its testnet phase involved more than 50 ecosystem partners, 700+ global KOLs, 3,500+ globally distributed computing nodes and 5,000 on-chain Genesis AIDs. Those figures were presented by Noos as part of the foundation for the mainnet rollout.

According to the announcement, mainnet is expected to move the network beyond infrastructure validation and into “real usage, execution, collaboration, and value.”

Noos frames the launch around the AI agent economy, a concept it says requires computing power, agent skills, verification, payments, data, smart hardware and vertical applications to work together. The company’s message indicates the mainnet is intended to connect those pieces in a live on-chain environment, though the announcement does not add further operational details beyond the launch timing and broader network goals.

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Algorand launches AC2 to let AI agents request user approvals without exposing private keys

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Algorand Foundation has launched AC2, an open protocol designed to make AI agent approvals more secure by keeping private keys under the user’s control. In the foundation’s public announcement, AC2 is described as a standard for direct, encrypted communication between users and AI agents that lets agents request signing actions without handing over wallet access.

The launch centers on a familiar problem in AI-driven workflows: agents may need to sign payments, code commits or other digital actions on a user’s behalf, but the surrounding messaging tools do not provide cryptographic verification or scoped approval. Algorand says AC2 is meant to close that gap by allowing the user to review and approve each requested action through their own wallet interface.

How AC2 is described to work

According to the foundation, AC2 establishes an end-to-end encrypted WebRTC connection between a user’s wallet or app and an AI agent. When the agent needs authorization for an action such as a payment, git commit or API request, it sends a signing request through AC2. The user then approves the action directly, while the private key remains with the user.

The announcement also says the protocol is blockchain-agnostic and open source, with both the specification and a reference implementation now available. Algorand framed AC2 as a way to support broader “agentic” workflows without requiring users to surrender full control of their accounts.

The foundation said the protocol can be extended for different message types and signing formats, which it says would make it usable in settings where agents need limited, user-approved authority rather than unrestricted access.

For now, the launch is best understood as a security and communications layer for AI agents rather than evidence that AI payments or agent-driven commerce are already widespread. The key change is narrower but concrete: users are meant to approve exactly what an agent can sign, instead of relying on chat-based instructions that can be easier to spoof or misread.

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Token Terminal data shows AI agents driving 73 million stablecoin transfers in 180 days

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Token Terminal’s agentic payments explorer shows AI agents initiating 73.0 million stablecoin transfers over the past 180 days, with USDC accounting for virtually all of the activity.

The explorer data also points to a concentration of transfers on a small number of networks. Base led with 38.7 million transfers, while Polygon followed with 26.1 million, according to Token Terminal.

The figures describe transfer activity initiated by AI agents, not a broader measure of stablecoin adoption across the market. The available data also does not by itself explain who the agents were, what applications they were using or whether the transfers reflect sustained operational usage beyond the measured period.

Still, the numbers offer a concrete snapshot of how agent-driven payments are appearing in onchain data. In this case, the activity is largely tied to USDC and concentrated on Base and Polygon, which makes the breakdown more specific than a generic claim about AI and crypto payments.

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