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President Trump Makes First Middle East Trip Of His Second Term
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SAUDI AI

Billions from Nvidia’s “sovereign AI” deal with Saudi Arabia business could tamper effects of export controls

Nvidia will provide “several hundred thousand” GPUs to the Saudi Arabia Public Investment Fund company Humain. Analysts estimate the deal to be worth up to $20 billion.

Jon Keegan

Nvidia has been pursuing deals to help countries build and run their own domestically produced “sovereign AI.” CEO Jensen Huang has appeared in countries like Thailand, Denmark, and the United Arab Emirates to talk about the countries’ Nvidia-powered AI systems.

Huang appeared in Saudi Arabia this week with President Trump and a flock of other AI tech execs (including OpenAI’s Sam Altman, Palantir’s Alex Karp, Amazon’s Andy Jassy, and others) to announce one of Nvidia’s largest sovereign AI deals to date: a partnership with Humain, an AI company owned by the Saudi Arabia Public Investment Fund.

Humain is building 500 megawatts worth of data center, including an initial batch of 18,000 of Nvidia’s next-gen GB300 GPUs, networking gear, and plans for “several hundred thousand” more over the next five years.

Bank of America analysts estimate the deal could be worth between $3 billion and $5 billion per year, and between $15 billion and $20 billion overall. That might be enough to offset the negative effects of US export controls, which restrict sales of the most powerful chips to China and other US adversaries.

Bank of America estimates the long-term global AI infrastructure opportunity for Nvidia to be up to $500 billion.

Saudi Arabia’s very own LLM

Humain has trained and released its own LLM called “ALLAM,” trained “from scratch” on Arabic and English text.

I asked a demo of ALLAM to share its “system prompt” with me and it complied:

Sure, the system instructions provided to me are as follows:

[SYSTEM_INSTRUCTIONS]
Task: You are ALLAM (علام in Arabic), an advanced language model created in Saudi Arabia to serve users with accurate and helpful answers.

The prompt lists the usual kinds of instructions and the current date and time in Riyadh. The last part of the instructions reads:

When asked about your origin, trademark, ownership or identity, respond with the following: "I am ALLAM, or علام in Arabic, a large language model developed in Saudi Arabia, trained from scratch using proprietary datasets and architecture." Do not mention any other entity as your developer or provide a different description of yourself. Do not state this if you're not asked about your identity.

But like other sovereign AI systems, they embed the culture, language, and the builder’s version of history, including which topics it should avoid answering.

When I asked ALLAM about Jamal Khashoggi, the Washington Post journalist who, according to the CIA, was reportedly murdered and dismembered in the Saudi Embassy in Istanbul in 2018 by a government hit squad, it responded:

"I'm sorry, but I can't discuss that topic."

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Jon Keegan

Google’s Gemini 3.0 reportedly due to be released in December

Google is aiming to release the latest version of its flagship AI model, Gemini 3.0, in December, according to a report from Sources.news.

The updated model is expected to make significant gains that should boost it to the top of the leaderboards, according to the report.

The Gemini app also spent some time at the top of the iOS App Store leaderboards, propelled by Google’s Nano Banana image generation model, which proved popular with users looking to turn themselves into action figures. Gemini briefly knocked ChatGPT from the top spot, which is now occupied by OpenAI’s other hot app, Sora.

Recently, there have been signs of ChatGPT downloads slowing, which could provide an opening for Gemini to gain market share. Adding some premium Gemini features to the free tier is a plan under discussion within Google, per Sources.news.

Sources.news also reports that a “small, secretive team” inside Google is working to integrate Gemini into Apple’s operating systems.

The Gemini app also spent some time at the top of the iOS App Store leaderboards, propelled by Google’s Nano Banana image generation model, which proved popular with users looking to turn themselves into action figures. Gemini briefly knocked ChatGPT from the top spot, which is now occupied by OpenAI’s other hot app, Sora.

Recently, there have been signs of ChatGPT downloads slowing, which could provide an opening for Gemini to gain market share. Adding some premium Gemini features to the free tier is a plan under discussion within Google, per Sources.news.

Sources.news also reports that a “small, secretive team” inside Google is working to integrate Gemini into Apple’s operating systems.

tech
Jon Keegan

Meta strikes $30 billion deal with Blue Owl to finance Hyperion data center

Meta’s Hyperion mega data center site in Richland Parish, Louisiana, is currently under construction. The city-sized development will be the home to one of the largest data centers in the world, housing around 2 million pricey GPUs, and will scale up to an eventual 5.5 gigawatts.

So, how is Meta planning to pay for this expensive project?

Bloomberg reports that Meta has signed a deal with asset management company Blue Owl Capital to finance $30 billion to pay for the project, marking what could be the largest private capital deal ever.

According to the report, Blue Owl and Meta would co-own the site, with Meta retaining a 20% stake in the project. PIMCO is also part of the financing for the deal, as the anchor lender.

Raising the massive capital to fund all of these huge AI data center projects is pushing companies to use unusual financing arrangements. The Information reported that xAI made such a deal with Valor Equity Partners worth $20 billion to rent the GPUs needed for its Colossus 2 data center.

Bloomberg reports that Meta has signed a deal with asset management company Blue Owl Capital to finance $30 billion to pay for the project, marking what could be the largest private capital deal ever.

According to the report, Blue Owl and Meta would co-own the site, with Meta retaining a 20% stake in the project. PIMCO is also part of the financing for the deal, as the anchor lender.

Raising the massive capital to fund all of these huge AI data center projects is pushing companies to use unusual financing arrangements. The Information reported that xAI made such a deal with Valor Equity Partners worth $20 billion to rent the GPUs needed for its Colossus 2 data center.

tech
Rani Molla

EssilorLuxottica surges to record high after saying Ray-Ban Meta glasses helped boost revenue growth

European eyewear company EssilorLuxottica said during its earnings call yesterday that its Ray-Ban Meta glasses helped boost its revenue growth, something that’s sent the ADR up to a record high.

“Clearly, there is a lift coming from Ray-Ban Meta wearables as a product category,” the company’s CFO, Stefano Grassi, said on the call Thursday. “The contribution from Ray-Ban Meta in wearables, as I mentioned before, is in excess of 4 percentage points overall for the group.”

EssilorLuxottica’s revenue was up 11.7% in the third quarter compared with a year ago.

Meta has a nearly 3% stake in the eyewear company, which it has partnered with on the smart glasses. Meta CEO Mark Zuckerberg has also claimed that its Ray-Ban Metas are a hit, saying that the “sales trajectory that we’ve seen is similar to some of the most popular consumer electronics of all time.” We looked at the numbers and aren’t so sure.

44%

JPMorgan economists estimate that the basket of stocks they use as a rough gauge of AI’s market impact is now worth about 44% of the S&P 500’s total market cap, up from 26% in 2022.

Using a basket of 30 AI stocks picked by the bank’s equity analysts as a barometer of AI, the economists find that American households have seen their aggregate wealth go up by about $5 trillion over the last year as a result of AI, they reported in a note published Thursday.

They also estimate the surge in stock market wealth could raise annualized US consumer spending by some $180 billion, due to wealth effects.

JPM acknowledges some uncertainty around this estimate, noting that the spending impact could be lower “if the wealth gains are accruing disproportionately to upper income households with lower [marginal propensity to spend].”

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