Oracle and Nvidia are reporting massive financial gains driven by surging artificial intelligence demand. Oracle booked over $30 billion in new AI cloud contracts during its first fiscal quarter, earning $10.2 billion in total revenue with its cloud business growing by 13%. Meanwhile, Nvidia reported $7.2 billion in revenue, with its datacenter business rising by 25%.
Nvidia CEO Jensen Huang predicts a future where millions of autonomous AI agents operate in workplaces, managing tasks like research and email. To support this shift, Nvidia is investing in its new Vera CPUs alongside its GPUs, aiming to move from managing 40,000 employees to overseeing 4 million independent agents.
Enterprise security is evolving to stop AI agents before they act. Companies like Nightfall AI and F5 are launching tools that check actions in real time, addressing the issue where 91% of organizations only discover agent actions after execution. Kiteworks strengthened its platform by acquiring Bonfy.AI to enforce policies on data exchanges involving both human and machine users.
Other companies are also launching AI tools. Veeva Systems saw its shares rise 64.47% over 90 days after launching Falcon Safety, an AI-driven safety operations tool for biopharma. Cognition released the SWE-2 coding model, which costs 64% less to run than competitors while matching performance on coding benchmarks. Bybit introduced Bybit AI, an assistant that executes trading tasks via plain language commands using isolated sub-accounts.
In the hardware space, ByteFuture raised $55 million to build local AI hardware and operating systems that run on edge devices. A recent Substack article also highlighted semiconductor trends, noting IBM's progress in transistor density and hundreds of startups competing with major players like Nvidia and AMD.
Key Takeaways
- Oracle booked over $30 billion in new AI cloud contracts in its first fiscal quarter.
- Oracle earned $10.2 billion in total revenue with a 13% growth in its cloud business.
- Nvidia reported $7.2 billion in revenue with a 25% increase in its datacenter business.
- Nvidia CEO Jensen Huang predicts managing 4 million autonomous AI agents in the workplace.
- Nvidia is investing in new Vera CPUs to support independent AI systems.
- 91% of organizations currently discover AI agent actions only after they execute.
- Kiteworks acquired Bonfy.AI to enhance real-time data control for AI agents.
- Veeva Systems shares gained 64.47% following the launch of its Falcon Safety AI product.
- Cognition's SWE-2 coding model costs 64% less to run than competing models.
- ByteFuture raised $55 million to develop local AI hardware and operating systems.
New Tools Stop AI Agents Before They Act
Enterprise AI governance is shifting from reviewing past actions to stopping them before they happen. Recent research shows that 91% of organizations only find out what an agent did after it executed the action. To fix this, companies like Nightfall AI and F5 are launching new tools that check and approve agent actions in real time. These systems create a control plane with layers for discovery, policy enforcement, and human approval for high-risk tasks. This change is driven by the need for better security and compliance with regulations like the EU AI Act.
Kiteworks Buys Bonfy.AI for Real-Time Data Control
Kiteworks announced the acquisition of Bonfy.AI to strengthen its data security platform with real-time AI governance. Bonfy.AI specializes in classifying sensitive data and enforcing policies before exchanges happen across email, file sharing, and AI agents. This deal allows Kiteworks to manage data risk at the exact moment it moves, covering both human and machine users. The new technology evaluates context like the sender and recipient to reduce false alarms and ensure consistent security rules. Kiteworks Chief Business Officer Amit Toren stated that this acquisition expands their unified Data Control Plane for the AI era.
Veeva Shares Rise on Falcon Safety AI Launch
Veeva Systems shares have gained significantly after launching its new Falcon Safety product for biopharma clients. The stock saw a 90-day gain of 64.47% as investors focus on the potential of its AI-driven safety operations tool. Falcon Safety is part of a larger AI suite designed to work within compliant life sciences workflows. Analysts believe the company is undervalued with a fair value target of $383.14 based on its earnings and AI strategy. However, some investors remain cautious about the mixed shareholder returns over the last year.
Cognition Unveils SWE-2 Coding Model at Lower Cost
Cognition released a new coding model called SWE-2 that is trained on the Kimi K3 base model. This model matches the performance of Fable 5.1 on the FrontierCode benchmark but costs 64% less to run. SWE-2 is not available as an open model or standalone API and can only be used inside the Devin platform. It performs well on coding tasks and uses fewer steps to complete work compared to its previous version. The model is free for paid users through October 10, 2026.
Bybit Adds AI Assistant for Trading and Support
Cryptocurrency exchange Bybit launched Bybit AI, a new in-app assistant that handles trading and customer support. Users can describe tasks in plain language, and the AI will execute actions like placing trades or checking account balances. The tool is available for various services including Spot, Futures, and Copy Trading. To use it, users create a separate sub-account that is isolated from their main funds to reduce risk. Bybit plans to expand this conversational interface to more services in the future.
Police1 webinar teaches agencies how to govern AI data safely
A Police1 webinar scheduled for October 8 will teach law enforcement how to manage data for AI readiness. The session covers protecting sensitive records like personnel files and evidence in the cloud. Experts Jon Campbell and Scott Roehrenbeck from MCM will explain security standards and leadership strategies. Attendees will learn how to maintain control over data while using AI tools effectively.
Substack explores new AI hardware trends and semiconductor startups
A new Substack article discusses recent developments in the semiconductor industry and AI hardware. The author covers topics like IBM breaking barriers in transistor density and new silicon types entering the market. The content also reviews hundreds of startups trying to compete with major players like Nvidia and AMD. Readers can find more details on the author's YouTube channel as well.
Oracle signs $30 billion in AI contracts while Nvidia grows fast
Oracle and Nvidia recently reported strong financial results driven by artificial intelligence demand. Oracle booked over $30 billion in new AI cloud contracts during its first fiscal quarter. The company earned $10.2 billion in total revenue with its cloud business growing by 13%. Nvidia reported $7.2 billion in revenue with its datacenter business rising by 25%.
Nvidia CEO Jensen Huang predicts millions of AI agents in workplaces
Nvidia CEO Jensen Huang believes agentic AI will soon become standard in the workplace. He predicts Nvidia will move from having 40,000 employees to managing 4 million autonomous AI agents. These agents will run continuously in the background to handle tasks like research and email management. Nvidia is investing in its new Vera CPUs to support these independent systems alongside its GPUs.
ByteFuture raises $55 million to build local AI hardware and OS
ByteFuture, formerly known as Bytetrade, raised $55 million to expand its local AI hardware and operating system. The company creates AI models that run on edge devices to reduce latency and improve data security. The new funding will help the company grow its product offerings and form partnerships with industry leaders. This technology aims to revolutionize AI use in sectors like healthcare and finance.
Cheap Magnificent Seven Stock Could Win AI Race
The AI revolution is happening, but it is not just about Nvidia and Micron. Another company that is part of the Magnificent Seven group could become the biggest winner in this trillion-dollar race. This company is already making money from its AI platform which is used by major industry names. The CEO believes AI is the key to the company's future success. While Nvidia and Micron get a lot of attention, this company is quietly building its own AI capabilities.
Sources
- AI-Agent Governance Is Moving to the Point of Action
- Kiteworks Expands Data Security Platform With Bonfy.AI Acquisition for Real-Time AI and Enterprise Data Governance
- Veeva Systems (VEEV) Following Falcon Safety Launch Has Its Valuation Story Back In Focus
- Cognition Releases SWE-2: A Kimi K3 Post-Trained Coding Model That Matches Fable 5.1 on FrontierCode at 64% Lower Cost
- Bybit Launches In-App AI Assistant for Trading & Support
- Webinar: Governing the data that powers AI readiness
- Deploying The Newest AI Hardware in Datacenters
- Oracle Just Added $30 Billion in AI Contracts. Nvidia Investors Should Read the Fine Print
- 40,000 Employees Today and 4 Million Agents Tomorrow: Nvidia CEO Jensen Huang Believes Agentic AI Will Soon Become the Norm in the Workplace
- Dealroom.co | ByteFuture raises $55M to scale local AI hardware and OS
- Not Nvidia. Not Micron. This Dirt Cheap “Magnificent Seven” Stock Could Be the Biggest Winner of the Trillion-Dollar AI Race
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