RTX Spark, unveiled on Monday by Jensen Huang, chief executive during a keynote in Taipei ahead of the Computex technology conference, brings about a shift in how computers are used, moving away from traditional software-based workflows towards systems that can carry out tasks through AI agents.

“The PC is being reinvented,” Huang said. “For forty years, you launched apps. Click. Type. With RTX Spark and Microsoft Windows, you ask, and the PC does the work.”

RTX Spark is designed as a superchip built for what Nvidia describes as the “era of personal AI agents”. It combines a Blackwell-based GPU with a Grace CPU, delivering up to 1 petaflop of AI performance and 128GB of unified memory. 

Nvidia says this setup is intended to support complex AI tasks running directly on the device rather than in the cloud.

The company explained that the chip will allow users to run large language models locally, including systems with up to 120 billion parameters, while also handling demanding creative and gaming workloads. These include editing high-resolution video, generating AI video content, and running advanced 3D rendering tools.

Nvidia said RTX Spark systems will support Windows PCs built for what it calls “personal agents”, software that can carry out tasks across applications. The company is working with Microsoft to integrate the technology into Windows, including new security features designed to control how AI agents operate on a device.

Microsoft chairman and chief executive Satya Nadella said the collaboration aims to expand access to advanced computing tools. “Our goal is to deliver unmetered intelligence to every home and every desk with Windows,” he said.

The companies noted that the new Windows platform will include tools that allow users to manage what AI agents can access, how data is handled, and when information is processed locally instead of being sent to the cloud.

RTX Spark also targets creators and developers as Nvidia said the chip can support 90GB 3D scene rendering, 12K video editing, and AI-assisted design work. Users will be able to run high-end gaming titles at 1440p resolution with frame rates above 100 frames per second.

Adobe is among the companies adapting its software for the new system. It is reworking Photoshop and Premiere to take advantage of the hardware, with expected performance gains in AI tools such as generative editing and video expansion features.

Shantanu Narayen, Adobe’s chair and chief executive, said the changes would speed up creative work. “The best creative work in the world happens in Adobe tools from Adobe Firefly to Photoshop and Premiere, and the expansion of our partnership with NVIDIA and Microsoft will make those experiences faster and more powerful than ever,” he said.

Other software and gaming companies are also involved, including Blackmagic Design, Blender, ComfyUI, OTOY, and Xbox, all of which said they are preparing support for the new platform.

Hardware makers are preparing devices around the chip. Nvidia said laptops and compact desktops will be produced by companies including ASUS, Dell, HP, Lenovo, Microsoft Surface and MSI, with Acer and GIGABYTE also expected to join later. The first devices are scheduled for release in the autumn.

RTX Spark systems are expected to come in slim laptop designs and compact desktops aimed at both professionals and consumers. Nvidia said laptops will feature lightweight builds, OLED displays and all-day battery life.

With the launch, Nvidia is going beyond its traditional graphics chip business into full PC system design. Analysts say the move places the company in closer competition with Intel, AMD and Apple in the personal computing market.

The stock rose by more than 5% in early trading, and investors reacted quickly after Nvidia’s chief executive, Jensen Huang, spoke at the company’s GTC developer conference in California.

“I want to thank Samsung who manufactures the Groq LP30 chip for us and they’re cranking as hard as they can,” he said.

He added that the chips are already in production and will be shipped in the second half of the year.

That single update has changed the mindset around Samsung’s chipmaking business. For years, its foundry division has faced challenges, posting heavy losses as it tried to compete with bigger companies. Now, there are new signs of recovery.

At the same event, Samsung displayed the Nvidia chips built on its 4-nanometre process. It also introduced its latest high-bandwidth memory, aimed at handling growing demand from AI systems.

This points to a good working relationship between the two companies, especially as demand for AI chips continues to grow.

Experts say the deal could help Samsung’s foundry unit move closer to breaking even, though there are still challenges. Demand in the mobile market is still weak, and high memory prices could limit profits in the near term.

Even so, the market response shows good reports. Samsung shares were up about 4.3% at one point during the session, after earlier hitting stronger results. The index also moved higher, but not by as much.

There is more to watch this week. AMD chief executive Lisa Su is expected to visit South Korea, where she will meet Samsung chairman Jay Y. Lee.

Her visit is also expected to include a tour of Samsung’s chip plant in Pyeongtaek and it would be her first trip to the country since becoming CEO in 2014.

His comments came after a decline in global software stocks following the release of an updated chatbot by Anthropic. 

Investors reacted to the release by selling shares in companies linked to data services, outsourcing and enterprise software, particularly in Asia.

Speaking at an artificial intelligence conference in San Francisco organised by Cisco, Huang said the idea that software tools are becoming less important is ‘illogical’.

“There’s this notion that the tool in the software industry is in decline, and will be replaced by AI … It is the most illogical thing in the world, and time will prove itself,” he said.

Huang said advanced systems rely on existing software rather than replacing it. He compared the process to how people and machines use tools that already exist instead of building new ones from scratch.

“If you were a human or robot, artificial, general robotics, would you use tools or reinvent tools? The answer, obviously, is to use tools … That’s why the latest breakthroughs in AI are about tool use, because the tools are designed to be explicit.”

Markets continued to fall during the week. In India, shares of IT exporters dropped sharply, with the sector index losing 6.3%. Infosys was among the worst hit, falling 7.3%.

In China, the CSI Software Services Index fell 3%. Shares of Kingdee International Software Group dropped more than 13% in Hong Kong. In Japan, Recruit Holdings fell 9%, while Nomura Research declined 8%.

Huang has made similar comments in recent months, describing intelligent systems as infrastructure rather than replacements for software. At an industry event in Houston earlier this year, he said such systems would be built into existing platforms and tools.

Nvidia is continuing to expand its investments in large-scale computing and industrial applications. The company is also in talks over a major investment in OpenAI and is increasing capacity to support growing demand for computing power.

The recent market reaction emphasises concerns about how new systems could affect data services and outsourcing. Huang said those systems still depend on software to operate, integrate and scale.

For now, the selloff has not changed Nvidia’s position. The company believes that software is indispensable to how the technology is used.

The Santa Clara-based chipmaker’s stock climbed nearly 5% in premarket trading on Wednesday, briefly touching $4.94 trillion before settling around $4.89 trillion in market value.

The rally followed Chief Executive Jensen Huang’s announcement of $500 billion in AI chip bookings and plans to build seven new supercomputers for the U.S. government.

Speaking at Nvidia’s developer conference in Washington, Huang disclosed that one of the supercomputers will be developed in partnership with Oracle and powered by 100,000 of Nvidia’s advanced Blackwell chips. 

The firm also confirmed a $100 billion partnership with OpenAI to develop GPU supercomputers and a $2 billion equity investment in Elon Musk’s xAI.

Nvidia’s transformation from a niche graphics card maker into the backbone of the artificial intelligence ecosystem has been commendable. The company now sits ahead of Apple, Microsoft, and Alphabet in valuation growth.

“In many ways, everything that could have gone right for the firm, has gone right over the last sort of 24 hours,” said Michael Brown, senior research strategist at Pepperstone.

For its fiscal second quarter of 2026, Nvidia reported revenue of $46.7 billion, a 56% increase year-on-year, with data-centre GPUs accounting for 88% of sales. The company’s stock added roughly $230 billion in value within a single day, illustrating its market-moving power.

Analysts, however, warn that Nvidia’s valuation, trading at about 50 times forward earnings, leaves little room for error. Given its dominant weighting in the S&P 500 and Nasdaq 100, any major price movement could send ripples through pension funds, ETFs, and technology portfolios across global markets.

Beyond the markets, Nvidia has also become an important player in U.S.–China technology diplomacy. Its Blackwell processors are at the heart of Washington’s export restrictions, aimed at limiting China’s access to advanced AI computing systems. U.S. President Donald Trump said on Wednesday he might raise the issue of the high-end chips when he meets Chinese President Xi Jinping.

To remain compliant with these export rules, Nvidia is designing modified versions of its chips for overseas markets, a strategy to sustain demand while scaling through geopolitical pressure. This could ultimately speed up the $5 trillion valuation reach for Nvidia.

The deal, framed as a strategic partnership, will see OpenAI roll out at least 10 gigawatts of data centre capacity powered by NVIDIA systems. Each stage of deployment will bring about additional investment, with the first gigawatt scheduled to go live in the second half of 2026 on NVIDIA’s Vera Rubin platform.

NVIDIA founder and CEO Jensen Huang called the agreement a milestone moment. “NVIDIA and OpenAI have pushed each other for a decade, from the first DGX supercomputer to the breakthrough of ChatGPT. This investment and infrastructure partnership mark the next leap forward—deploying 10 gigawatts to power the next era of intelligence.”

CEO Sam Altman stressed the centrality of computing power to global progress, saying: “Everything starts with compute. Compute infrastructure will be the basis for the economy of the future, and we will utilise what we’re building with NVIDIA to both create new AI breakthroughs and empower people and businesses with them at scale.”

President Greg Brockman added that the company’s growth has always been tied to NVIDIA’s technology. “We’ve been working closely with NVIDIA since the early days of OpenAI. We’ve utilized their platform to create AI systems that hundreds of millions of people use every day. We’re excited to deploy 10 gigawatts of compute with NVIDIA to push back the frontier of intelligence and scale the benefits of this technology to everyone.”

The agreement positions NVIDIA as OpenAI’s preferred partner for computing and networking, ensuring both companies align their hardware and software development to maximise efficiency. This new arrangement adds to OpenAI’s growing ecosystem of collaborators, which already includes Microsoft, Oracle, SoftBank, and other members of the Stargate consortium.

OpenAI’s user base has soared to more than 700 million weekly active users, boosting its demand for computational resources. At the same time, Microsoft, once OpenAI’s exclusive compute partner, has had its role redefined to a first-refusal arrangement. OpenAI has also moved to diversify its infrastructure, recently announcing a $300 billion deal with Oracle to expand cloud capacity.

With Microsoft, OpenAI is betting big on scaling up to the levels it believes are necessary for the development of superintelligence. The final details of the partnership are expected to be settled in the coming weeks.

Meta’s Mark Zuckerberg and Oracle’s Larry Ellison had the highest, each adding $9 billion to their net worth.

Nvidia co-founder Jensen Huang followed with $5.4 billion, while Google’s Larry Page and Sergey Brin gained $4.5 billion and $4.3 billion respectively.

The windfall results from the deepening concentration of wealth and influence among Silicon Valley’s most powerful figures. 

These are not fleeting market blips, the growth is tied to the technologies reshaping everything from global communications to financial systems.

Zuckerberg, now the third-richest person in the world with $267.7 billion, controls about 13% of Meta. The company’s stock has risen 40% since April 2025, driven by AI-powered advertising and smart glasses. 

Back in 2015, Zuckerberg and his wife, Priscilla Chan, pledged to donate 99% of their Meta shares over their lifetimes, one of the most noteworthy philanthropic promises of the modern era.

Just ahead of him in the global rankings is Ellison, whose $298.3 billion fortune places him second only to Elon Musk. The Oracle co-founder stepped down as CEO in 2014 but still drives the company’s strategic acquisitions. He lives permanently on the Hawaiian island of Lanai, which he purchased almost entirely for $300 million in 2012.

Huang’s rise is perhaps the most emblematic of the AI era. Nvidia, once a graphics card specialist, now dominates AI hardware. In Q1 2026, its data centre division alone generated $39 billion, 89% of its revenue, with forecasts pointing to $200 billion for the fiscal year. 

Under Huang’s leadership, Nvidia’s valuation topped $3 trillion in 2024. His net worth now stands at $156.6 billion.

Page and Brin, despite stepping back from Google’s daily operations in 2019, remain among the most influential figures in tech. Their stakes in Alphabet keep their fortunes at $160.3 billion and $153 billion respectively, built on the algorithms they pioneered more than two decades ago.

As of August 2025, eight of the world’s ten wealthiest people are tech leaders, including Musk, Ellison, Zuckerberg, Page, Brin, Huang, Steve Ballmer, and Jeff Bezos. 

Their combined wealth stands at $2.1 trillion, up $100 billion since July. In total, 450 tech billionaires control an estimated $5.2 trillion, representing nearly one-third of all billionaire wealth.

The ongoing AI boom is creating new billionaires in semiconductors, cloud platforms, and generative AI startups like Anthropic and CoreWeave. Yet the same trend is intensifying debates over monopolies, digital inequality, and the vast control a handful of companies wield over critical infrastructure.

As an analyst stated, “This isn’t just a story about money, it’s a story about who owns the future.”

With a 2.4% increase in its share price on Wednesday, the chipmaker’s stock hit $164, strengthening its place at the top of the global tech hierarchy, above Apple and Microsoft.

Not without challenges, the California-based firm, which was founded in 1993, surged past a $2 trillion valuation earlier this year in February, then blew past $3 trillion in June. 

Now, in under seven months, Nvidia has doubled its worth, a feat unmatched in stock market history. And it did all of this amid geopolitical friction, export bans, and a volatile tech environment.

Despite being locked out of the $50 billion Chinese chip market due to tightening U.S. export controls, Nvidia’s performance has barely flinched. In fact, CEO Jensen Huang was apt on how this affects them: “The $50 billion China market is effectively closed to U.S. industry,” he said in May, adding that losing China would be a “tremendous loss.”

But even with an $8 billion sales gap from blocked shipments of its H20 chips to China, Nvidia’s machine has not stalled. In the first quarter of FY2026 alone, the company posted $44.1 billion in revenue, a 69% jump from the same period last year. It’s now guiding for $45 billion in Q2. Some analysts are projecting as much as $200 billion in full-year revenue, with expectations rising to $250 billion by FY2027.

So, what’s driving this engine? Nvidia has built a near-monopoly in the data centre GPU market, with a 90% share. It supplies the processing muscle behind OpenAI’s GPT-4, Google’s Gemini, xAI’s Grok, and enterprise AI workloads across Microsoft, Amazon, Meta, and Tesla. 

Despite murmurs earlier this year noting OpenAI might explore alternatives, the firm publicly reaffirmed its reliance on Nvidia’s chips, silencing any talk of defection.

From Europe to the U.S., policy changes are tilting in Nvidia’s favour. CEO Huang has hinted at big expansion plans for Europe, where AI infrastructure uptake still lags. Back in the U.S., legislative tailwinds are pushing forward.

The newly passed “Big Beautiful Bill” is expected to increase semiconductor tax credits, strengthening Nvidia’s already-tight supply chains.

Even Nvidia’s market cap now tells a global story: it’s worth more than the entire London Stock Exchange and overshadows the combined value of all public companies in Canada and Mexico.

While some might see the company’s meteoric rise as a bubble waiting to pop, Wall Street seems to disagree. Nvidia’s stock has surged 74% since April and risen more than fifteenfold over five years.

And unlike the dot-com era’s inflated valuations, Nvidia’s growth is backed by tangible demand, from governments, corporations, and developers looking to harness artificial intelligence.

While other tech giants are trying to diversify or catch up, Nvidia has entrenched itself as the foundation of AI infrastructure worldwide. 

Presented by CEO Jensen Huang during his keynote at Computex 2025 in Taipei, the announcement came with a message that Nvidia no longer intends to be just a chipmaker, it wants to become the backbone of the next wave of AI infrastructure. 

NVLink Fusion is offering rival chipmakers a piece of the technology Nvidia itself uses to build its high-performance AI systems.

Marvell Technology and MediaTek have already signed on to adopt NVLink Fusion, showing early industry trust. This technology enables chip-to-chip communication speeds up to 14 times faster than PCIe, a good move forward for training and running AI models at scale. 

It’s not limited to Nvidia’s own systems anymore. Companies building their own AI chips can now link multiple processors with Nvidia’s own fabric, essentially bringing them into the Nvidia AI ecosystem.

“Once upon a time, I spent 90 percent of my keynote talking about graphics cards,” Huang said. “Now, our mission is to build the AI infrastructure of the future.” 

That infrastructure includes partnerships with Qualcomm, Fujitsu, Alchip, Astera Labs, Synopsys, and Cadence to make NVLink Fusion usable across full rack-scale AI architectures.

Huang also used the stage to reveal Nvidia’s next line of AI chips. The Blackwell Ultra is due out later this year. Rubin will follow, and a new chip family named Feynman is set for 2028. 

These timelines are Nvidia’s roadmap for staying ahead in an industry that’s evolving faster than any before it.

The company also confirmed that its desktop AI computer, DGX Spark, designed for researchers, has entered full production and will be available within weeks.

Outside the announcements, Nvidia is strengthening its physical footprint in Asia. Huang revealed plans to build a new regional headquarters in Taipei’s northern suburbs, reflecting both commercial intent and geopolitical awareness as semiconductor influence shifts eastward.

Computex 2025, with over 1,400 exhibitors, marks the return of major chip players to Asia since the U.S. government’s tariff threats reshaped global manufacturing strategies. 

On April 9, U.S. officials quietly informed Nvidia that shipping the H20 would now require a special licence. Five days later, Washington said this restriction isn’t temporary, but indefinite. 

Nvidia didn’t alert all its customers in time. By April 15, the damage was evident. Shares plunged 6% in after-hours trading. The company had no choice but to take the charge.

The H20 is Nvidia’s most advanced AI chip that’s still legal for sale in China. It’s a workaround product — designed after earlier export rules stopped sales of more powerful chips like the H100 and A100. 

While the H20 has slightly watered-down processing power, it still features rapid memory access and high-speed connectivity. Those features are good enough to raise eyebrows in Washington.

And here’s the thing, this chip was never really slow. It’s effective at inference — the stage where AI gives users answers. That’s where the market is heading. It was the perfect solution for Chinese giants like Tencent, Alibaba, and ByteDance, who were reportedly stocking up in bulk. 

Even startups like DeepSeek were buying in aggressively. Their V3 model? Trained on H20s, according to a policy group in D.C.

“The Commerce Department is committed to acting on the President’s directive to safeguard our national and economic security,” a spokesperson said.

Behind the scenes, Chinese customers were still expecting deliveries by year-end — unaware that the game had changed. Analysts now expect a surge in demand for Huawei’s alternatives.

“By restricting the H20 system, U.S. regulators are effectively pushing Nvidia’s Chinese customers toward Huawei’s AI chips,” said Nori Chiou of White Oak Capital Partners. “Huawei’s chip design and software capabilities are likely to advance quickly as it gains more customers and development experience.”

The consequences involve China accounting for about $17 billion in Nvidia’s sales last year. That’s 13% of its global revenue. Losing that market — or even just slowing it — changes the forecast for Nvidia’s dominance. CEO Jensen Huang had already warned that revenue from China was down to half its former levels.

Worse still, competition inside China is heating up. Nvidia now lists Huawei as a direct rival. And that’s not symbolic — it’s strategic.

There’s also the matter of U.S. politics. Some voices in Washington say Nvidia’s chips could support China’s military supercomputing. The H20 may not have been built for that, but its connectivity potential sparked concern. With DeepSeek’s use of the chip under scrutiny and Tencent allegedly using H20s to train large AI models, it became harder for Nvidia to make its case.

“At least one of the buyers, Tencent, has already installed H20s in a facility used to train a large model, very likely in breach of existing controls,” the Institute for Progress wrote.

In the same breath, Nvidia has been pledging major investments in America. Just a day before the new restrictions went public, the company announced plans to build AI servers worth up to $500 billion in the U.S. over the next four years. The timing didn’t go unnoticed.

No one at Nvidia is saying much beyond the official filing. But we know what’s next: the company’s quarterly results are due on May 28. Until then, investors and regulators will be watching every move. 

Right now, the world’s most valuable chipmaker is learning a tough lesson — sometimes, being caught in the middle of a geopolitical power play can cost you billions.

The goal is to bolster domestic manufacturing, which could boost the AI industry and strengthen America’s competitive edge in the semiconductor space.

“I think we can easily see ourselves manufacturing several hundred billion of it here in the U.S.,” Huang stated in an interview with the Financial Times. Nvidia expects to spend around half a trillion dollars on electronics within this period, one of the highest financial commitments in the sector.

This investment comes when the AI boom has driven insatiable demand for Nvidia’s high-performance chips, but supply chain vulnerabilities and geopolitical tensions have raised concerns. 

The company is now looking to reduce dependence on overseas production, particularly in Taiwan, by expanding its footprint in the U.S. through partners such as TSMC and Foxconn. “TSMC investing in the U.S. provides for a substantial step up in our supply chain resilience,” Huang noted.

Meanwhile, Chinese firms, including Huawei, are aggressively developing AI hardware, presenting a challenge to Nvidia’s top place. DeepSeek, a rising Chinese AI company, recently launched a chatbot with reportedly fewer AI chips, leading to talks about whether Nvidia’s costly technology will continue to hold its edge. 

Investors have been watching and are concerned about both competition and U.S. government restrictions on chip exports to China.

At Nvidia’s recent developer conference in California, Huang revealed that demand for the company’s new Blackwell AI chips has been underestimated. “Orders for 3.6 million Blackwell chips from four major cloud firms don’t even include Meta, smaller cloud providers, and startups,” he told analysts. 

This a far greater appetite for Nvidia’s latest technology than previously anticipated, reiterating why the company is aggressively scaling production.

Government policies will also help the company. Huang noted that the Trump administration, if it returns to power, could accelerate AI industry growth in the U.S. by providing favourable policies and ensuring energy supply remains uninterrupted.

Nvidia aims to safeguard its supply chain, meet surging AI demand, and stay ahead in the sector.