Jensen Huang

Money Moves

Finalized $30 billion equity investment in OpenAI; committed to providing 5GW of Vera Rubin capacity

In October 2024, OpenAI raised $6.6 billion at a $157 billion valuation. Seventeen months later, on February 27, 2026, the maker of ChatGPT closed a record $110 billion funding round at a $730 billion pre-money valuation ($840 billion post-money)—the largest private capital raise in history. Amazon led with a $50 billion commitment ($15 billion upfront, $35 billion contingent on OpenAI achieving artificial general intelligence or completing an initial public offering by year-end), while Nvidia and SoftBank each committed $30 billion. On April 1, 2026, SoftBank delivered a second $10 billion tranche, expanding the total round to $122 billion at an $852 billion post-money valuation with participation from Andreessen Horowitz and D.E. Shaw Ventures. The deal includes expanded infrastructure partnerships: Amazon will provide $100 billion in additional Amazon Web Services compute services over eight years (on top of the existing $38 billion commitment), while Nvidia will supply 3 gigawatts of dedicated inference capacity and 2 gigawatts of training capacity using its Vera Rubin systems.

Updated Apr 1

Money Moves

Leading Nvidia's ecosystem investment strategy

In ten months, Nvidia has poured roughly $14 billion into six companies that supply the chips, networking gear, optical links, and cloud capacity its artificial intelligence platform depends on. The latest: a $2 billion stake in Marvell Technology, the custom-chip designer behind Amazon's Trainium and Microsoft's Maia accelerators, announced March 31, 2026. Marvell's stock jumped 13% on the news.

Updated Apr 1

Money Moves

Shifted from $100 billion deployment deal to $30 billion equity investment in OpenAI

Four months ago, Sam Altman told the world OpenAI had $1.4 trillion in data center commitments. Now the company is telling investors the real number is $600 billion — and that it would rather rent computing power than build its own facilities. The retreat, disclosed to investors in February 2026 and detailed publicly on March 22, marks the sharpest pivot in the short history of the artificial intelligence spending boom.

Updated Mar 22

New Capabilities

Leading Nvidia's dominance in AI chip market

Every company designing custom artificial intelligence chips today — Apple, Google, Amazon, Microsoft — pays someone else to manufacture them. Tesla just announced it will build and operate its own semiconductor fabrication plant, a $20 billion facility called TeraFab targeting the 2-nanometer process node, the most advanced manufacturing technology in existence. No company without decades of chipmaking experience has ever attempted this.

Updated Mar 21

Built World

Leading the AI chip revolution powering datacenter expansion

ChatGPT's November 2022 launch triggered the fastest infrastructure buildout in tech history. Datacenter construction spending tripled from $15 billion to $45 billion annually in just two years. Hyperscalers are now on track to spend over $1 trillion in 2026—exceeding the GDP of all but 10 countries—racing to secure power, land, and cooling systems before their rivals. Alphabet shocked markets on February 4, 2026 with guidance of $175-185 billion in 2026 capex, 55-65% above Wall Street estimates of $119.5 billion. Amazon escalated the spending war on February 5 with $200 billion 2026 capex guidance after Q4 revenue of $213.4 billion and AWS growth of 24% to $35.6 billion. Microsoft reported $37.5 billion in capex for Q2 FY2026 (just one quarter), while Meta committed $6 billion to Corning for fiber-optic cables in late January, secured 6.6 gigawatts of nuclear power through three partnerships announced in early January 2026, confirmed a multi-billion Nvidia chip deal, and on February 24 announced a $60-100 billion, 6-gigawatt AMD GPU deal—diversifying away from Nvidia dominance. Recent March 2026 reports show up to 50% of global projects facing delays due to power shortages and community opposition, pushing hyperscalers toward international sites in India, Sweden, and Thailand.

Updated Mar 18

New Capabilities

Announced Space-1 platform at GTC 2026

Earth observation satellites generate petabytes of imagery every day, but only about two percent of it ever reaches the ground. The bottleneck is physics: a satellite in low Earth orbit gets maybe ten minutes of ground-station contact per pass, and radio bandwidth cannot keep up with sensor resolution that doubles every few years. Nvidia's answer, announced at its annual developer conference on March 17, 2026, is to stop trying to move the data down and instead move the AI up. The Vera Rubin Space-1 Module packs 25 times the compute power of Nvidia's H100 chip into a radiation-hardened package designed to run large language models and foundation models directly in orbit.

Updated Mar 17

New Capabilities

Keynote presenter at GTC 2026; positioning Nvidia as the computing backbone of the AV industry

Nvidia and Uber announced a plan to deploy 100,000 Level 4 autonomous robotaxis across 28 cities on four continents by 2028, using Nvidia's new DRIVE Hyperion 10 computing platform and an open-source reasoning model called Alpamayo. Five automakers—BYD, Geely, Stellantis, Lucid, and Mercedes-Benz—will manufacture vehicles with Nvidia's hardware pre-installed. Commercial rides begin in Los Angeles and San Francisco in the first half of 2027.

Updated Mar 17

New Capabilities

Delivered GTC 2026 keynote, unveiled Vera Rubin and NemoClaw

Nvidia has spent four years on an annual architecture cadence that no semiconductor company has sustained before. At GTC 2026, chief executive Jensen Huang unveiled the Vera Rubin platform—a system built around a single graphics processing unit that delivers 50 petaflops of inference compute, roughly five times the performance of its Blackwell predecessor, while claiming to cut the cost of generating each AI token by a factor of ten. In the same keynote, Huang launched NemoClaw, an open-source software platform that lets any company deploy autonomous AI agents across its operations without being locked into a specific cloud provider's hardware.

Updated Mar 16

Money Moves

TSMC's largest customer for AI chips

TSMC manufactures over 90% of the world's most advanced chips. On January 15, 2026, the company announced it would spend up to $56 billion this year—a 37% increase from 2025—to expand capacity for AI processors. Net profit jumped 35% to a record $16 billion, and the company projected 30% revenue growth for 2026. The same day, the U.S. and Taiwan finalized a $250 billion trade agreement committing Taiwanese companies to expand semiconductor manufacturing in America.

Updated Feb 4

New Capabilities

Leading company with 90%+ share of AI chip market

Intel just shipped its first client processors built on 18A, the most advanced semiconductor process ever made in America. The Core Ultra Series 3 chips, unveiled January 5 at CES 2026, went on sale globally January 27 with over 200 PC designs promising 60% faster performance and 27-hour battery life. Early reviews praised the Arc B390 integrated graphics reaching 160-220fps in AAA games—performance rivaling discrete Nvidia GPUs in thin laptops. Dell revived its XPS laptop line with Panther Lake chips, HP committed to OMEN gaming laptops, and Asus called its new Zephyrus G14 'the future of gaming laptops.' Intel's stock initially surged 15% in early January on Panther Lake optimism, then spiked another 10% on January 9 when President Trump praised CEO Lip-Bu Tan at the White House, revealing the U.S. government's August 2025 investment had doubled in value to nearly $19 billion—making the federal government Intel's largest shareholder. But the euphoria collapsed January 23 when Intel reported Q4 2025 earnings: despite beating revenue estimates at $13.7 billion, Tan warned of supply shortages and below-target yields. The stock crashed 17% in its worst day since August 2024, erasing the January gains.

Updated Jan 30

Rule Changes

Making Davos debut amid AI governance debates

For 55 years, the World Economic Forum at Davos served as neutral ground where adversaries could broker deals and rivals could find common cause. This year, 65 heads of state and nearly 3,000 leaders are arriving to find that ground shifting beneath them—with President Trump announcing 10% tariffs on eight European allies just 48 hours before the summit opened, escalating to 25% by June unless Denmark agrees to sell Greenland. By January 20, the crisis had intensified as France pushed the EU to activate its never-before-used 'Anti-Coercion Instrument'—a trade bazooka that could shut American companies out of Europe's 500-million-consumer market.

Updated Jan 20

New Capabilities

Building DOE AI supercomputers

The White House mobilized America's 17 national laboratories and tech's biggest players—OpenAI, Anthropic, Google, Microsoft, NVIDIA—for what officials call the AI equivalent of the Manhattan Project. The Genesis Mission aims to double US research productivity in a decade by connecting supercomputers, quantum systems, and AI into one discovery platform. Energy Secretary Chris Wright announced 24 corporate partners at a January 11 summit, each signing up to cement American technological dominance. Days later, OpenAI and SoftBank committed $1 billion to a 1.2-gigawatt Texas data center, while NVIDIA's Jensen Huang unveiled hardware promising AI tokens at one-tenth the cost.

Updated Jan 13

New Capabilities

Leading AI infrastructure consolidation strategy

On Christmas Eve 2025, Nvidia paid $20 billion for Groq's assets—nearly triple the AI chip startup's $6.9 billion valuation from three months earlier. The deal brings Groq's founder Jonathan Ross, who created Google's original Tensor Processing Unit, and his breakthrough inference technology into Nvidia's fold. It's Nvidia's largest acquisition ever, nearly three times bigger than its $7 billion Mellanox purchase. By structuring the deal as a "non-exclusive licensing agreement" rather than an outright acquisition, Nvidia bypasses Hart-Scott-Rodino Act merger review requirements that trigger automatic FTC scrutiny—following Microsoft's 2024 playbook with Inflection AI. The deal's unusual structure has drawn immediate analyst warnings about "the fiction of competition" as Groq's leadership and technical talent move to Nvidia while the company nominally continues independently. Adding to the intrigue: 1789 Capital, where Donald Trump Jr. serves as partner, was among Groq's September investors who saw their stake nearly triple in just three months.

Updated Dec 27, 2025

Rule Changes

Lobbying beneficiary of the H200 opening; managing supply constraints and political risk

The Trump administration just did the thing Washington has spent years swearing it wouldn’t do: let China buy a near-top-tier Nvidia AI chip again. Now a key China hawk in Congress is demanding the Commerce Department explain, in detail, why this isn’t a strategic own-goal.

Updated Dec 13, 2025