Nvidia CEO Jensen Huang Under Investigation

SoftBank, Grab, and Petroleum Sarawak Berhad have signed joint development agreements to invest $1.85 billion in AI infrastructure across Malaysia. SoftBank is contributing $1 billion, Grab $750 million, and PETROS $100 million as initial seed capital. The projects target at least five gigawatts of AI computing capacity in Sarawak and Peninsular Malaysia, with deployment planned in stages based on development milestones.

The investment aligns with Malaysia's National AI Action Plan 2026-2030 and aims to position the country as a regional AI technology hub. The facilities are expected to be among the largest AI infrastructure developments in Asia. The companies also plan to seek additional investors and hyperscale cloud providers to support expansion across Southeast Asia, serving governments, multinational corporations, and small businesses.

Nvidia CEO Jensen Huang is under investigation over an alleged relationship with a suspected Chinese spy dating back to 2020, a development that has damaged the company's credibility on Capitol Hill. The controversy has given new momentum to chip export control bills in Congress. Nvidia has not commented on the ongoing investigation, and the company's stock price has dropped significantly since the news became public.

Google researchers announced a new AI-powered system capable of verifying software code integrity using machine learning and cryptography. The technology, still in the experimental phase, could help security teams move beyond reactive bug hunting toward proactive defense. Google DeepMind also used an AI tool called DeepSpec to formally verify the security of the Signal protocol, which secures communications for apps like WhatsApp and Facebook Messenger.

Proximal Ventures raised $27.5 million for its first venture capital fund focused on early-stage startups applying AI to drug development. The firm has already backed seven startups, including ChronicleBio, co-founded by former OpenAI executive Fidji Simo. Backers include SignalFire, Kleiner Perkins, and Bertelsmann Healthcare Investments.

Other developments include quantum computing firm Diraq testing a low-power system inside a commercial data center in Sydney, aiming to build a 2 million qubit system by 2031. A Nationwide survey found 31 percent of business owners experienced a generative-AI scam in the past year, while many insurance policies now exclude AI-related losses. Osaic CEO Jamie Price believes AI could help address advisor shortages in the financial industry. The Philippines is optimistic about signing a master agreement for a proposed AI hub in New Clark City this year.

Key Takeaways

  • <ul><li>SoftBank, Grab, and PETROS plan $1.85 billion AI infrastructure investment in Malaysia, with SoftBank contributing $1 billion, Grab $750 million, and PETROS $100 million</li><li>The Malaysia AI projects target at least five gigawatts of computing capacity and align with the country's National AI Action Plan 2026-2030</li><li>Nvidia CEO Jensen Huang is under investigation over an alleged relationship with a suspected Chinese spy, fueling Capitol Hill push for chip export controls</li><li>Google developed an AI-powered system to verify software code integrity and used DeepSpec to prove the Signal protocol is secure</li><li>Proximal Ventures raised $27.5 million for its debut fund investing in AI drug development startups, including ChronicleBio co-founded by ex-OpenAI executive Fidji Simo</li><li>Diraq is testing a low-power quantum computer in a Sydney data center and aims to build a 2 million qubit system by 2031</li><li>A Nationwide survey found 31 percent of business owners experienced a generative-AI scam, with many insurance policies excluding AI-related losses</li><li>Osaic CEO Jamie Price says AI-boosted assistants could help ease the advisor shortfall in the financial industry</li><li>The Philippines is optimistic about signing a master agreement for a proposed AI hub in New Clark City this year</li><li>Banks are weighing AI agent access against customer security risks, with 44.3% of bankers naming cybersecurity a top concern</li></ul>

SoftBank and Grab plan $1.85bn AI investment in Malaysia

SoftBank, Grab and PETROS plan to invest $1.85 billion in AI infrastructure projects in Malaysia. The funding will support data centers in Sarawak and Peninsular Malaysia with a long-term target of at least five gigawatts of AI computing capacity. SoftBank will contribute $1 billion, Grab $750 million and PETROS $100 million. The projects align with Malaysia's AI Nation 2030 plan and aim to serve governments, multinational companies and small businesses.

Grab and SoftBank to invest $1.85bn in Malaysia AI data centers

Grab and SoftBank Group will invest $1.85 billion in AI infrastructure projects in Malaysia, including data centers. The announcement was made on November 10, 2026, as the companies aim to capture Southeast Asia's growing digital demand. The two projects are intended to cover data centers and target regional demand for AI computing. The investment reflects a push to expand technology capacity across the region.

SoftBank, Grab and PETROS to invest $1.85bn in Malaysian AI infrastructure

SoftBank Group, Grab and Petroleum Sarawak Berhad signed joint development agreements with planned initial seed capital of US$1.85 billion. The money includes US$1 billion from SoftBank, US$750 million from Grab and US$100 million from PETROS. The projects target long-term five gigawatts or more of AI compute capacity in Sarawak and Peninsular Malaysia. The facilities are expected to be among the largest AI infrastructure developments in Asia once fully operational.

SoftBank and Grab plan $1.85bn AI infrastructure investment in Malaysia

SoftBank Group and Grab Holdings announced plans to invest $1.85 billion in AI infrastructure across Malaysia with PETROS. The projects in Sarawak and Peninsular Malaysia aim to develop at least five gigawatts of AI computing capacity. SoftBank will provide $1 billion, Grab $750 million and PETROS $100 million in initial funding. The investment supports Malaysia's goal to become a regional AI technology hub by 2030 and is expected to create jobs in engineering and technical fields.

SoftBank and Grab plan $1.85 billion investment in Malaysian AI infrastructure

SoftBank Group and Grab plan to invest US$1.85 billion as initial seed capital to develop AI infrastructure across Malaysia. The funding targets at least five gigawatts of computing capacity and will be deployed in stages based on development milestones. SoftBank contributes US$1 billion, Grab US$750 million and PETROS US$100 million. The projects support Malaysia's National AI Action Plan 2026-2030 and aim to bring in additional investors and hyperscale cloud companies.

SoftBank Grab Petros to Invest $1.85 Billion in Malaysia AI

SoftBank Group, Grab Holdings, and Petroleum Sarawak agreed to invest $1.85 billion to build AI computing infrastructure in Malaysia. SoftBank will contribute $1 billion, Grab will add $750 million, and Petros will provide $100 million. The plan targets over 5 gigawatts of computing capacity in the long term. The investment will be deployed in stages as projects reach key milestones. The companies also plan to seek additional investors and customers to support expansion across Southeast Asia.

Nvidia CEO Jensen Huang Investigation Fuels Capitol Hill Export Control Push

Reports that Nvidia CEO Jensen Huang had a relationship with a suspected Chinese spy have damaged the company's credibility on Capitol Hill. The controversy has given new momentum to a suite of chip export control bills in Congress. The alleged relationship dates back to 2020 and has raised serious concerns about national security. Nvidia has not commented on the ongoing investigation.

Jensen Huang Troubles Shake the AI Industry

Nvidia CEO Jensen Huang is being investigated over an alleged extramarital affair with a suspected Chinese spy, sending shockwaves through the AI industry. The alleged affair took place in 2020 and has raised questions about Huang's judgment. Nvidia's stock price has dropped significantly since the news became public. Investors are worried about the impact on the company's future. The ongoing investigation also raises broader ethical concerns about AI development and leadership.

Google Announces AI Breakthrough Toward Unhackable Software

Google researchers developed a new AI-powered system that can verify the integrity of software code. The system uses machine learning and cryptography to detect even the smallest changes in code. Google says this breakthrough could help defenders move beyond bug hunting toward proactive security. The technology was announced at the annual Google Research Conference. The system is still in the experimental phase, but researchers are optimistic about its real-world potential.

Google DeepMind AI Tool Proves Signal Protocol Is Secure

Google DeepMind researchers used a new AI tool called DeepSpec to formally verify the security of the Signal protocol. The Signal protocol secures communications for apps like WhatsApp and Facebook Messenger. The verification proves the protocol is secure against a range of attacks. DeepSpec uses AI and mathematical techniques to analyze and confirm security properties. Google DeepMind researchers plan to use the tool to verify other communication protocols with the goal of securing all software.

Proximal Ventures raises $27.5M debut fund for AI drug development startups

Proximal Ventures, led by Sahir Raoof, raised $27.5 million for its first venture capital fund. The firm will invest in early-stage startups using AI in drug development. It has already backed seven startups, including ChronicleBio, co-founded by former OpenAI executive Fidji Simo. Backers include SignalFire, Kleiner Perkins, and Bertelsmann Healthcare Investments.

Gamified model uses AI agents to improve urban resilience planning

Researchers created a digital board game using multi-agent reinforcement learning to help stakeholders coordinate urban resilience investments. The model simulates how agents allocate scarce resources across different settings. In a 12 by 12 simulation based on historical maps of Tatsumi, Tokyo, trained agents scored 452.1 compared to 357.3 for random agents. A human-in-the-loop interface allows participants to explore trade-offs in participatory planning.

Quantum computing could ease AI data center energy demand

Diraq founder Andrew Dzurak says quantum computers could reduce the massive energy needs of AI data centers. His company is testing a small silicon-based quantum computer inside a commercial data center in Sydney. The system uses less than 20 kilowatts of power while running alongside room-temperature servers. Diraq aims to build a 2 million qubit system by 2031, two years ahead of a DARPA deadline.

AI risks are outpacing business insurance coverage

A Nationwide survey found 31 percent of business owners experienced a generative-AI scam in the past year. More than half of insurance agents reported rising AI-related fraud claims. Only 35 percent of business owners have an up-to-date incident response plan. Many traditional insurance policies now exclude AI-related losses, leaving businesses exposed to new cyber and fraud risks.

Osaic CEO says AI may help ease advisor shortage

Osaic CEO Jamie Price says AI could help registered assistants take on more client responsibilities. This development may reduce the impact of a looming advisor shortfall in the industry. Price had previously warned about advisor shortages over the past several years. He now believes AI-boosted assistants could soften that problem.

Philippines optimistic about signing AI hub agreement this year

Trade Secretary Freda Garay said the master agreement for a proposed AI hub in New Clark City could be signed this year. The hub aims to make the Philippines a major player in the global AI industry. Garay highlighted the country's strong IT and BPO sectors as a solid foundation for AI development. She stressed the need for collaboration between the government and private sector. The project is expected to create thousands of jobs and attract significant investments.

Banks weigh AI agent access against customer security risks

Banks are deciding how much access AI agents should have to customers' online banking accounts. A Dallas Fed survey found that 27.1% of respondents did not know if their institution had restricted AI-agent activity, while 38.6% said no restrictions were in place or planned. Financial institutions are balancing customer convenience with concerns about authentication, fraud, and data security. In the survey, 44.3% of bankers named cybersecurity as a top concern for the next six months, and 41.4% cited fraud.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

SoftBank Grab Petroleum Sarawak Berhad AI infrastructure Malaysia AI computing capacity National AI Action Plan 2026-2030 regional AI technology hub Nvidia Jensen Huang Chinese spy chip export control Google AI-powered system software code integrity DeepSpec Signal protocol Proximal Ventures AI drug development quantum computing

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