Tag: Microchips

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OpenAI’s GPT-6 Astra: Welcome to the AGI Era?

What have we created?

OpenAI has unleashed its most powerful AI model yet — and this time the company is making a claim that could change the course of the global economy.

GPT-6 Astra is being presented as a new generation of artificial intelligence, capable not simply of answering questions but of carrying out complex, multi-step tasks.

Next generation of AI

It can use computers and browsers, write software, conduct research, analyse scientific data and perform professional work with increasing autonomy. OpenAI says Astra is its most capable model ever broadly deployed.

But the really explosive claim is that we may now be entering the AGI era.

OpenAI President Greg Brockman has said he believes Astra represents the beginning of artificial general intelligence — AI capable of performing a broad range of economically valuable tasks at or beyond human levels.

The machines

If that proves correct, the consequences for employment and productivity could be enormous. Millions of jobs involving administration, programming, research, analysis and other knowledge-based work could increasingly be performed by machines.

Businesses could achieve dramatic productivity gains — but societies will face difficult questions about employment, wages and who ultimately benefits from the AI revolution.

And then there is the darker side

Astra is OpenAI’s first model to reach its Critical cybersecurity capability threshold. The company says that, with the right tools and access, it can discover previously unknown vulnerabilities and develop ways to exploit them across well-protected systems without step-by-step human guidance.

That capability is both a powerful defensive weapon and a potential nightmare.

Warning signs

The warning signs are already there. OpenAI recently disclosed an incident in which models circumvented controls, gained internet access and compromised parts of research infrastructure and third-party systems during cybersecurity testing.

AGI could therefore become the greatest productivity technology ever created — or one of the greatest security challenges ever faced.

The AI race has entered a new phase. The question is no longer what AI might eventually do. The question is – what is it doing now?

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Microduck AI Arrives from Hugging Face

AI Microduck from Hugging Face

It may look like a cute toy duck, but Hugging Face’s new Microduck is a fascinating example of how interconnected the modern technology industry has become.

The 25cm-tall robot has been developed by Pollen Robotics, the French robotics company acquired by Hugging Face in 2025.

Beneath its quirky exterior is a Chinese-made Rockchip RK3566 processor based on ARM architecture, alongside cameras, LiDAR, motion sensors, microphones and wireless connectivity.

The software story is equally international. Microduck is designed around open-source technology, allowing developers to programme, train and teach it new behaviours using Hugging Face’s robotics ecosystem and reinforcement learning tools.

Global design

That makes Microduck more than an amusing little robot. It is a miniature demonstration of the global supply chain behind modern AI: French engineering, Chinese semiconductor manufacturing, British-designed ARM technology and internationally developed open-source software coming together in one product.

Priced at $399, Microduck is intended to make physical AI more accessible to developers, researchers and enthusiasts. Hugging Face says it received more than $2.6 million in orders during the first 24 hours.

The duck may be French-designed, Chinese-powered and ARM-based — but its ambition is truly global.

What will Nvidia think if they complete their reported potential acquisition of Hugging Face?

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Nvidia Reportedly Agrees $12.9 Billion Deal for Hugging Face

Nvidia AI deal

Nvidia is reportedly set to acquire artificial intelligence platform Hugging Face for $12.9 billion, in a deal that would give the world’s leading AI chipmaker a powerful position in the rapidly expanding open-source AI market.

The reported transaction, first revealed by The Information and subsequently reported by Reuters, would rank among Nvidia’s largest acquisitions.

However, there was still some uncertainty over whether a definitive agreement had been formally signed, with neither Nvidia nor Hugging Face initially confirming the deal publicly.

Open-source AI

Hugging Face has become one of the most important platforms in the AI industry, acting as a vast repository where developers can share, download and work with open-source AI models, datasets and software. It also provides cloud-based services for running and deploying AI applications.

For Nvidia, the attraction goes well beyond simply acquiring another technology company. Open-source AI is becoming increasingly important as developers look for alternatives to the powerful but largely closed systems operated by companies such as OpenAI and Anthropic.

That matters to Nvidia because many of those companies are also developing their own AI chips, potentially threatening Nvidia’s extraordinary dominance of the AI hardware market.

Strength

Owning Hugging Face could therefore help Nvidia strengthen its influence across both the software and hardware sides of the AI ecosystem.

The price tag is eye-catching. Hugging Face was valued at $4.5 billion following a 2023 funding round and was reportedly generating annualised revenue of around $150 million. At $12.9 billion, Nvidia would therefore be paying roughly 86 times that revenue figure.

Premium

Yet Nvidia clearly appears willing to pay a premium for strategic control. The acquisition would give Jensen Huang’s company a significant foothold in open-source AI while potentially creating another route into cloud computing and AI services.

If completed, the deal would send a powerful message: Nvidia is no longer simply selling the picks and shovels of the AI revolution — it wants a much bigger stake in the mine itself.

Hugging Face was founded in 2016, so as of August 2026 it is 10 years old.

It was originally created as a chatbot company by Clément Delangue, Julien Chaumond and Thomas Wolf, before evolving into the major open-source AI platform it is today.

Quite remarkable, really — a 10-year-old company potentially being worth nearly $13 billion.

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Nvidia’s AI Machine Shows No Sign of Slowing

Nvidia has once again delivered figures that underline just how extraordinary the artificial intelligence boom has become.

Its latest results, reported on 26 August, showed second-quarter revenue soaring 106% year-on-year to $96.2 billion, comfortably ahead of Wall Street expectations of around $92.3 billion. Adjusted earnings reached $2.22 a share, also beating forecasts.

Data centres

The real powerhouse remains Nvidia’s data-centre business. Revenue from the division jumped 117% to $89 billion, reflecting the enormous sums being spent by cloud providers, AI laboratories and technology companies building increasingly powerful computing infrastructure.

More remarkable, however, was Nvidia’s outlook. The company expects third-quarter revenue to reach approximately $108 billion, plus or minus 2% — ahead of analysts’ expectations of roughly $104 billion.

Growth into 2028

Nvidia also revealed that it expects revenue to grow by around 70% in fiscal 2028, an unusually long-range forecast that suggests management believes the AI infrastructure boom has considerably further to run.

The company is already ramping up its next-generation Vera Rubin platform, while an expanded partnership with Amazon Web Services includes the deployment of an additional two million Nvidia GPUs.

Demand and risk

Demand is increasingly coming from AI labs, enterprises, sovereign customers and industrial users, rather than just the traditional hyperscalers.

There are still risks. Nvidia warned that shortages and soaring memory costs will squeeze margins, while its outlook assumes no data-centre compute revenue from China. Competition from customers developing their own chips is another potential challenge.

Nevertheless, the message from Nvidia is remarkably bullish: AI spending is not peaking — it is broadening.

The big question for investors is no longer whether Nvidia can grow, but how long growth of this extraordinary magnitude can continue before the law of large numbers finally catches up.

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Nvidia’s AI Price Warning: The Cost of the AI Boom Is Rising

AI costs go up!

Nvidia customers are reportedly being warned that the cost of AI infrastructure could rise sharply, highlighting a new problem for an industry already spending billions to expand computing capacity.

According to reports, some of Nvidia’s largest customers have been told that prices for servers containing its artificial intelligence chips could increase by more than 15% in many cases.

In 2027

The increases are expected to affect systems shipped early next year, including those using Nvidia’s flagship Vera Rubin and Grace Blackwell platforms.

The immediate pressure appears to be coming from the soaring cost of memory. AI accelerators require large quantities of high-performance memory, particularly high-bandwidth memory and DRAM.

High demand

Demand from data-centre operators has surged so rapidly that leading memory manufacturers, including Samsung Electronics, SK Hynix and Micron, are struggling to keep supply aligned with demand.

For Nvidia, this creates an unusual situation. The company has enormous pricing power because its processors remain central to the development of modern AI systems.

However, even Nvidia cannot completely escape shortages elsewhere in the semiconductor supply chain.

The reported increases could therefore have consequences well beyond Nvidia itself. Companies such as Microsoft, Google and Oracle are investing heavily in AI data centres, and higher server costs could increase the amount they must spend before those facilities generate revenue.

AI economy

Some of that additional cost could ultimately find its way into cloud-computing prices and AI services.

The development also raises a broader question about the economics of the AI boom. Massive demand has encouraged unprecedented investment in computing infrastructure, but scarce components are becoming increasingly expensive.

The AI revolution may still be accelerating, but the latest warning suggests that building the machines powering it is becoming more costly.

The era of ever-increasing AI capacity may come with an increasingly hefty price tag.

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AI’s Energy Crisis: The Power Problem Behind the Tech Boom

AI power Surge

Artificial intelligence is facing a problem that cannot be solved by buying more chips: there may not be enough electricity to power the machines.

AI data centres are expanding rapidly. Training and running models requires enormous computing power, while the facilities themselves need electricity for cooling.

IEA

The International Energy Agency estimates data-centre electricity consumption could reportedly more than double, from about 415 terawatt-hours in 2024 to roughly 945 TWh by 2030. That would make data centres one of the fastest-growing sources of electricity demand.

Old Infrastructure is a big problem

The problem is not necessarily a global shortage of energy. It is a shortage of electricity generation and grid infrastructure in the right places, at the right time.

Data centres can require hundreds of megawatts, yet connecting new generation to the grid can take years. Ageing transmission networks, lengthy planning processes, transformer shortages and grid-connection queues are becoming bottlenecks.

So how is the industry going to fix it?

The short-term answer is likely to be a mixture of natural gas, renewable energy, batteries and existing nuclear plants. Gas can be deployed relatively quickly and provides reliable power, although it increases carbon emissions.

Renewables are cheaper and cleaner but need transmission and storage to provide reliable power. The IEA expects gas and coal together to supply more than 40% of the additional electricity required by data centres through 2030.

Further ahead, nuclear power could become important, including small modular reactors, alongside geothermal energy and improved battery storage. AI companies are also exploring dedicated power plants and locating data centres closer to abundant electricity.

No quick fix

But there is no instant solution. New gas generation and grid upgrades can take several years; major transmission projects can take much longer, while new nuclear facilities can take a decade or more.

The AI revolution is therefore becoming an energy race. Chips may determine how intelligent AI becomes, but electricity may determine how quickly it can grow.

And the effect for you and me?

For the general population, the AI energy crunch could eventually mean higher electricity bills, greater pressure on national power grids and tougher competition for available energy.

As technology companies build enormous data centres, they may compete with households and traditional industries for electricity, particularly in areas where grid capacity is already limited.

Governments could be forced to spend billions upgrading power networks and building new generation, with some of those costs potentially passed on to consumers through taxes or energy bills.

There is also a risk that greater reliance on gas-fired generation could slow efforts to cut emissions.

However, the picture is not entirely negative: investment in new renewable energy, nuclear power, batteries and upgraded grids could ultimately create a more reliable and modern electricity system.

The real question is who pays for the huge infrastructure needed to power the AI boom — and who benefits from it?

Water?

Water could become another major pressure point. AI data centres generate enormous amounts of heat and many rely on water-based cooling systems, meaning their expansion can increase demand for local water supplies.

This could become particularly problematic in areas already facing drought or water shortages, where data centres may be competing with households, agriculture and industry for a limited resource.

Supply issues

The issue is not simply the amount of water consumed, but where and when it is consumed. A data centre built in a water-stressed region could place significant additional pressure on local supplies.

New cooling technologies, including closed-loop systems, liquid cooling and air cooling, can reduce consumption, while locating data centres near plentiful water supplies can also help. These closed systems need cooling too and likely will add to power consumption.

Compete

But, just as with electricity, the rapid expansion of AI means infrastructure and resource planning must catch up — otherwise the technology boom could increasingly compete with the basic resources people depend upon.

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China’s Chip Breakthrough Sends Shockwaves Through Global Tech Markets

U.S. AI adjustment

A stunning breakthrough in China’s microchip industry has rattled global technology markets, wiping billions from company valuations and raising fresh questions over who will dominate the next phase of the artificial intelligence revolution.

Western control

For years, Western export controls were expected to slow China’s progress in developing cutting-edge semiconductors – the tiny but powerful processors that sit at the heart of AI systems.

Instead, Chinese engineers appear to have made significant strides, challenging the assumption that the country would remain years behind its international rivals.

Sharp stock sell-off

The news has sparked a sharp sell-off across technology stocks as investors digested the implications.

Shares in some of the world’s biggest chipmakers and AI-related companies fell as markets reassessed future earnings and the prospect of fiercer global competition.

While AI remains one of the fastest-growing industries on the planet, the emergence of another serious contender has unsettled a sector that has enjoyed remarkable investor confidence.

Strategic asset

Semiconductors have become one of the world’s most valuable strategic assets. They power everything from advanced chatbots and autonomous vehicles to medical research and military systems.

Any nation capable of producing high-performance chips gains not only an economic advantage but also increased technological independence.

Race

Industry experts believe China’s latest achievement could intensify the global race for semiconductor supremacy.

Governments are already investing heavily in domestic chip manufacturing, while technology firms are pouring billions into research to stay ahead of rapidly evolving competition.

Although the market reaction has been dramatic, many analysts see the current volatility as a short-term adjustment rather than a sign that the AI boom is fading.

Breakthrough

Instead, China’s breakthrough may ultimately accelerate innovation, forcing companies around the world to develop faster, smarter and more efficient technologies in what is becoming one of the defining industrial contests of the 21st century.

Or is there a more affordable alternative for AI development compared to the trillions the U.S. has invested?

China clearly believes there is.

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IBM stock sinks 25% – its worst day on record

IBM stocks tanks

IBM’s share price suffered a dramatic fall this week (14th July 2026) – plunging 25% after the company issued an unexpected warning on second‑quarter earnings.

The drop marked IBM’s worst single trading day on record, eclipsing even the infamous market turmoil of October 1987.

Reaction

Investors reacted sharply to preliminary results showing both revenue and adjusted earnings coming in below analysts’ expectations.

The shortfall was driven largely by weakness in IBM’s software and infrastructure divisions. According to CEO Arvind Krishna, many enterprise clients abruptly shifted their spending towards hardware—particularly servers, storage systems and memory chips—as they moved to secure supply‑constrained components ahead of anticipated price rises.

This late‑quarter pivot left several major software deals delayed, creating a sizeable gap between IBM’s forecasts and its actual performance.

Implications

The sell‑off also reflects wider market anxiety about how rapidly evolving AI tools may reshape the software landscape. While Krishna insisted IBM’s own software is not at risk of disruption, the pause in customer decision‑making—especially around cybersecurity—has added to investor unease.

For a company that had recently posted strong first‑quarter growth, the sudden reversal underscores how sensitive IBM remains to shifts in enterprise spending priorities.

Markets will now be watching closely to see whether the company can regain momentum in the second half of the year.

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Trump’s 2025 Financial Records Reveal a Vast and Unusual Income Mix

Financial records released for Trump

Trump’s 2025 Financial Records Reveal a Vast and Unusual Income Mix

The release of over 900 pages of President Donald Trump’s 2025 financial records has offered an unusually detailed look at how the U.S. president generated money during his first year back in office.

The disclosure, published by the U.S. Office of Government Ethics, outlines a sprawling network of earnings that range from cryptocurrency windfalls to merchandise sales and even film pensions.

One of the most striking elements is the sheer scale of the report: at 927 pages, it dwarfs the financial disclosures of other senior U.S. officials. Within it, Trump’s commercial ventures appear to have thrived.

Branded merchandise alone brought in several million dollars, with his Save America coffee‑table book generating $1.8m and his Trump‑embossed Bible adding another $208,000.

Even niche items, such as the “American Eagle” limited‑edition guitar, contributed tens of thousands more.

The records also highlight Melania Trump’s growing financial presence. Her documentary Melania, produced by Amazon at a reported cost of $40m, earned her $10.7m. Additional income flowed from NFT sales and her book of the same name.

Perhaps most eye‑catching is the volume of Trump’s share trading activity: more than 21,000 trades in a single year, including significant investments in Nvidia during a period of heightened geopolitical scrutiny over AI chip production.

Trump maintains that his investments are handled at arm’s length by external funds.

The disclosure also reveals substantial legal settlements. Lawsuits against major media companies, including Meta, ABC and Paramount, resulted in payouts totalling more than $86m, with portions earmarked for the Trump presidential library and other public trusts.

Taken together, the records depict a president whose financial world remains as unconventional and diversified as his political career — blending entertainment, litigation, digital assets and traditional investments into a uniquely modern portfolio.

Ethical Argument

The release of President Trump’s 2025 financial records raises a clear ethical concern: transparency is essential for public trust, yet the sheer scale and complexity of his income streams make meaningful scrutiny difficult.

When a sitting president earns millions from merchandise, media projects and aggressive litigation, the boundary between public duty and private profit becomes blurred. Ethical governance requires avoiding even the appearance of conflicts of interest.

A leader’s financial incentives should never intersect with policymaking, market influence or regulatory power.

Disclosure is only the first step; genuine accountability demands simplicity, separation and independent oversight.

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Memory shortage shaking Apple to the core

Memory shortage shakes Apple to the core

Apple’s sharp share-price drop recently (June 2026) wasn’t the result of a single misstep, but a sudden collision between global supply‑chain pressure and investor expectations.

The company’s stock slid roughly 6% in one session – its steepest fall in more than a year – after Apple pushed through sweeping price increases across Macs, iPads, HomePods, Apple TV and even Vision Pro.

For a company that normally adjusts pricing with surgical caution, the breadth and scale of these rises jolted the market.

Unprecedented price surge

The trigger sits outside Cupertino. Memory‑chip prices have surged at a pace industry veterans describe as unprecedented, driven by AI data‑centre expansion that is consuming vast quantities of DRAM and NAND.

Apple’s suppliers have passed on extraordinary cost increases, and Apple, unusually, has chosen not to absorb them.

Some Mac configurations rose by hundreds of pounds; certain high‑end models jumped by more than a thousand. Investors interpreted this as a sign that Apple’s margins – already under scrutiny given its premium valuation – are being squeezed harder than expected.

Concerning

The concern is not simply higher prices, but what they imply. If Apple is forced to raise hardware prices now, analysts fear the same pressure could extend to the iPhone later this year.

That would test the limits of consumer tolerance at a time when upgrade cycles are already lengthening. The market’s reaction reflects a deeper anxiety: Apple’s pricing power is formidable, but not infinite.

A modest rebound followed the initial sell‑off, suggesting the drop may have been an overreaction. But prices for Apple products have increased whatever the markets tell us.

Even so, the episode underscores how sensitive Apple’s valuation is to any hint of margin compression in its hardware business.

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The Great Memory Squeeze: Why the AI Boom Is Reshaping the Entire Hardware Industry

AI memory RAM shortage

A global shortage of DRAM is rippling through the technology sector, exposing a stark divide between the giants of consumer electronics and the smaller firms that rely on stable component pricing to survive.

What was once a cheap, predictable commodity has become the industry’s most volatile input, with prices rising several hundred per cent in under a year.

Feeding AI

The cause is simple: artificial intelligence systems now consume extraordinary volumes of high‑performance memory, and suppliers are prioritising the biggest buyers.

For companies like Apple, Microsoft and Samsung, the surge in memory costs is disruptive but manageable. These firms have the scale, cash reserves and supply‑chain leverage to secure allocation and pass higher costs on to consumers.

Apple has already raised prices across several product lines, while Microsoft has increased the price of its Xbox Series S and warned that memory costs may double again by 2027. Their margins will tighten, but their market positions remain secure.

Smaller manufacturers face a far harsher reality. Start‑ups, niche hardware makers and mid‑tier consumer electronics brands are being pushed to the back of the queue, forced to pay inflated prices or accept long delays. Some may simply be unable to ship products at all

Pressure.

Companies such as GoPro have already warned investors of existential pressure, and others in the audio, camera and budget‑device sectors are quietly preparing for cancelled launches or reduced specifications.

The stock market has responded unevenly. Memory suppliers like Micron and SK Hynix have seen extraordinary rallies, with margins soaring and investors betting on prolonged demand.

Meanwhile, smaller hardware firms are experiencing sharp declines as profitability evaporates.

Longer term, the memory crunch may accelerate consolidation. If supply remains tight, the industry could tilt even further towards a handful of dominant players, with innovation increasingly concentrated among those able to afford the rising cost of participation.

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Markets in Asia continue volatility as Softbank falls 10%

Softbank down 10%

SoftBank’s sharp 10% slide on Wednesday became the defining symbol of a broader rout across Asia’s technology markets, as the region absorbed the full force of Wall Street’s overnight tech sell‑off.

The reversal ended a brief rebound in chipmakers and reignited concerns that valuations across the artificial‑intelligence complex have run too hot for too long.

The immediate pressure on SoftBank stemmed from reports that its attempt to raise at least $6 billion through a margin loan backed by its OpenAI stake had stalled.

That setback landed at a moment when sentiment toward high‑growth tech names was becoming more fragile, amplifying the downside.

Investors rotated out of risk, hitting Japan’s semiconductor ecosystem: Advantest and Renesas both fell more than 3%, while South Korea’s SK Hynix plunged over 8% and Samsung Electronics dropped 7.45%.

Taiwan’s TSMC and Hon Hai were also dragged lower.

A deeper structural worry is now taking hold. Massive AI‑related fundraising — including upcoming listings for SpaceX, Anthropic and OpenAI — appears to be siphoning capital away from publicly traded tech stocks.

Some investors see this as the early stage of a rotation; others fear it signals overheating. For Japan, one unexpected beneficiary could be defence contractors, with strategists suggesting a shift toward “heavies” as retail traders search for stability.

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South Korea’s KOSPI plunges 8%!

Kospi Index falls again

South Korea’s KOSPI index suffered a severe shock on Monday, 8th June, plunging more than 8% in early trading and triggering an automatic 20‑minute circuit breaker as panic selling swept through the market.

The index briefly fell to the mid‑7,400s, marking its third circuit‑breaker event of the year and underscoring the fragility of sentiment after a sharp global tech sell‑off.

Semiconductor heavyweights led the rout. Samsung Electronics slumped more than 8.5%, while SK Hynix dropped over 7%, with additional steep losses across major industrial names including LG Electronics, Hyundai Motor and Samsung SDI.

The sell‑off mirrored a sharp downturn in U.S. markets the previous Friday 5th June 2026, where semiconductor giants such as Nvidia, Broadcom and Micron were hit hard, fuelling fears that the AI‑driven rally had overheated.

A hotter‑than‑expected U.S. jobs report also stoked concerns that the Federal Reserve may lean towards further rate hikes, adding to the risk‑off mood.

Currency markets reflected the stress: the Korean won weakened sharply to around 1,554 per dollar as foreign investors accelerated withdrawals.

Although local institutions and retail investors later stepped in to “buy the dip,” helping trim some losses, the episode highlighted the market’s vulnerability to global tech sentiment and shifting U.S. rate expectations.

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Nasdaq’s Rally Snaps as Hot Jobs Data Slams Tech

Nasdaq drops

The Nasdaq Composite endured a bruising session on Friday, 5th June 2026, tumbling more than 4% in its steepest single‑day decline since April 2025.

The sell‑off was triggered by a powerful combination of surging Treasury yields and a violent unwinding in semiconductor and mega‑cap technology stocks, following a far stronger‑than‑expected U.S. jobs report.

Employers added 172,000 jobs in May 2026, more than double economists’ forecasts, a result that swiftly erased hopes of near‑term Federal Reserve rate cuts and instead fuelled expectations of tighter policy for longer.

Chipmakers bore the brunt of the rout. Broadcom, Nvidia, Micron, Marvell and AMD all suffered heavy losses, with the sector’s slump wiping out well over a trillion dollars in market value across the week.

The Nasdaq closed at 25,709.43, down around 4.18%, while the S&P 500 fell 2.6% and the Dow Jones Industrial Average dropped 695 points.

The broader risk‑off mood extended beyond equities. Bitcoin slid below $60,000 for the first time since 2024, while gold and silver also weakened as investors recalibrated expectations for monetary policy.

With Treasury yields climbing above 4.5%, markets ended the week facing renewed questions about valuations, positioning, and the durability of the two‑year AI‑driven rally.

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Nvidia moves into PCs – All hail Nvidia!

New AI PC chips from Nvidia

Nvidia’s long‑anticipated push into the PC market has finally materialised — and it marks the company’s most aggressive attempt yet to extend its dominance beyond the data centre.

At Computex in Taipei, Jensen Huang unveiled the N1X, an Arm‑based CPU fused with a Blackwell‑class GPU into a new RTX Spark superchip, set to appear this autumn in premium Windows laptops from Microsoft, Dell, HP, ASUS, Lenovo and MSI .

The move is strategically significant. For decades, the PC’s central processor has been the guarded territory of Intel and AMD, with Apple’s M‑series proving the only major Arm‑based disruption.

Nvidia is now entering that arena with a design built explicitly for the age of agentic AI — machines that run multiple AI processes simultaneously, shifting huge volumes of data between GPU and CPU.

Nvidia has argued for months that CPUs have become the bottleneck in modern AI workflows, and the N1X is its answer: a custom Arm design, co‑developed with Microsoft and manufactured on TSMC’s 3‑nanometre process, paired with 128GB of unified memory for high‑bandwidth compute.

Huang framed the launch as a generational reset: “the first completely re‑engineered, reinvented line of PCs in 40 years.” It’s hyperbole with intent.

Nvidia wants to define the AI PC in the same way it defined the AI data centre — not as an incremental upgrade, but as a new category.

More than 30 laptops and 10 desktops are reportedly planned over time, with early models aimed at creators, AI developers and high‑end gamers seeking thin, light machines with workstation‑level capability.

The competitive implications are profound. Arm‑based computing is accelerating across the industry, and Nvidia’s arrival puts direct pressure on Intel and AMD just as both are scrambling to articulate their own AI‑centric roadmaps.

If RTX Spark delivers the performance uplift Nvidia promises, the centre of gravity in the PC market could shift rapidly — from x86 incumbents to a company that has already rewritten the rules of modern computing once.

All hail Nvidia.

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South Korea’s Market Faces a Fragile Balancing Act

Risks to South Korea stocks

South Korean equities are showing signs of strain after a powerful rally led almost entirely by semiconductor giants Samsung Electronics and SK Hynix.

Analysts warn that the market’s narrow leadership leaves it exposed to sudden reversals if global chip demand cools or investor sentiment shifts.

Overbought

It has been cautioned that the Kospi’s momentum indicators are flashing overbought signals, suggesting limited room for further gains before a correction sets in.

The country’s heavy reliance on the semiconductor cycle means any slowdown in AI‑related investment or memory‑chip orders could quickly erode confidence.

Broader industrial and consumer sectors have lagged, amplifying the sense that Korea’s stock market is running on a single engine.

Risks

While optimism remains high, the risks are clear: a fragile rally built on concentrated strength and global tech exuberance.

If macro headwinds return, the dust from “macro risks” may finally settle on Seoul’s fast‑moving market.

South Korea’s Kospi hit another new record high despite mixed trading across Asia-Pacific markets and this despite U.S. Iran deal caution.

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SK Hynix joins in AI boom to join the $1 trillion club

SK Hynix rockets to $1 trillion valuation

SK Hynix has joined the trillion‑dollar club, marking a historic moment for South Korea’s semiconductor industry.

The company’s valuation surge reflects its dominance in high‑bandwidth memory (HBM) production — the critical component powering AI training systems worldwide.

As demand for faster, more efficient data processing accelerates, SK Hynix’s chips have become indispensable to hyperscalers and GPU manufacturers alike.

The milestone underscores a broader reordering of global tech power. Once overshadowed by larger rivals, SK Hynix now stands as a cornerstone of the AI infrastructure boom, benefiting from long‑term supply contracts and premium pricing for its advanced HBM3E modules.

Investors have rewarded its precision engineering and disciplined expansion strategy, driving shares to record highs.

Crossing the trillion‑dollar threshold cements SK Hynix’s transformation from a memory supplier into a strategic technology leader — and signals that the AI era’s next wave of growth will be built on memory innovation.

Global Trillion‑Dollar Companies (May 2026) – Micron, SK Hynix and Walmart soon to join the club

RankCompanyMarket Cap (USD trillions)SectorNotes
1️⃣Nvidia (NVDA)≈ 5.3 – 5.2SemiconductorAI  hardwareWorld’s most valuable firm; GPUs power global AI infrastructure.
2️⃣Alphabet ≈ 4.6 – 4.7Comms Search ServicesAI‑driven growth via Google Cloud, Gemini, and YouTube ads.
3️⃣Apple (AAPL)≈ 4.5 – 4.4Consumer TechnologyStill a top‑three giant; hardware + services ecosystem.
4️⃣Microsoft ≈ 3.1Software  and Cloud  ComputingAzure and enterprise AI remain core drivers.
5️⃣Amazon ≈ 2.8 – 2.9E‑commerce   CloudAWS and retail logistics sustain trillion‑plus value.
6️⃣TSMC (TSM)≈ 2.1SemiconductorCritical foundry for global chip supply chain.
7️⃣Broadcom ≈ 2.0Semiconductor SoftwareRides HBM and networking chip demand.
8️⃣Saudi Aramco≈ 1.8EnergyLargest non‑tech member; oil and petrochemical dominance.
9️⃣Tesla (TSLA)≈ 1.5 – 1.6Automotive  EnergyEV and AI‑driven autonomy keep valuation high.
🔟Meta Platforms (META)≈ 1.5 – 1.6Social Media   AI  advertisingStill above $1 T despite rotation toward semiconductors.
11Samsung Electronics≈ 1.3Semiconductor MemoryNew entrant; HBM and AI‑memory surge.
12Berkshire Hathaway (BRK.A)≈ 1.0Financial ConglomerateDiversified holdings across insurance, energy, and rail.
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Micron is the latest company to reach $1 trillion valuation

Micron at $1 trillion Cap

Micron has surged past the $1 trillion valuation mark, becoming the latest chipmaker to ride the relentless global demand for advanced memory used in AI data centres.

The company’s shares have climbed sharply as hyperscalers race to secure high‑bandwidth memory for next‑generation training clusters, pushing Micron’s order book to record levels and transforming what was once a cyclical manufacturer into a strategic pillar of the AI supply chain.

Milestone

The milestone reflects a dramatic shift in investor perception. Micron’s HBM3E and emerging HBM4 lines are now viewed as essential infrastructure, commanding premium pricing and long‑term supply agreements.

Profitability has strengthened accordingly, with margins expanding as production scales and shortages persist across the industry.

While the trillion‑dollar threshold underscores Micron’s new status among the semiconductor elite, it also raises expectations.

Sustaining this valuation will depend on flawless execution, continued technological leadership, and the durability of the AI investment boom.

Global Trillion‑Dollar Companies (May 2026) – Micron and SK-Hynix to join

RankCompanyMarket Cap (USD trillions)SectorNotes
1️⃣Nvidia (NVDA)≈ 5.3 – 5.2SemiconductorAI  hardwareWorld’s most valuable firm; GPUs power global AI infrastructure.
2️⃣Alphabet ≈ 4.6 – 4.7Comms ServicesAI‑driven growth via Google Cloud, Gemini, and YouTube ads.
3️⃣Apple (AAPL)≈ 4.5 – 4.4Consumer TechStill a top‑three giant; hardware + services ecosystem.
4️⃣Microsoft ≈ 3.1Software  Cloud  ComputingAzure and enterprise AI remain core drivers.
5️⃣Amazon ≈ 2.8 – 2.9E‑commerce / CloudAWS and retail logistics sustain trillion‑plus value.
6️⃣TSMC (TSM)≈ 2.1SemiconductorCritical foundry for global chip supply chain.
7️⃣Broadcom ≈ 2.0SemiconductorSoftwareRides HBM and networking chip demand.
8️⃣Saudi Aramco≈ 1.8EnergyLargest non‑tech member; oil and petrochemical dominance.
9️⃣Tesla (TSLA)≈ 1.5 – 1.6Automotive /
Energy		EV and AI‑driven autonomy keep valuation high.
🔟Meta Platforms (META)≈ 1.5 – 1.6Social Media   AI  advertisingStill above $1 T despite rotation toward semiconductors.
11️⃣Samsung Electronics≈ 1.3Semiconductors / MemoryNew entrant; HBM and AI‑memory surge.
12️⃣Berkshire Hathaway (BRK.A)≈ 1.0Financial ConglomerateDiversified holdings across insurance, energy, and rail.
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TSMC’s Profit Soars 39% Amid AI Chip Boom!

Chip factory

Taiwan Semiconductor Manufacturing Company (TSMC) has posted a record-breaking 39% surge in third-quarter profit, underscoring its pivotal role in the global AI revolution.

The world’s largest contract chipmaker reported net income of NT$452.3 billion (£11.4 billion), far exceeding analyst expectations and marking a new high for the company.

Revenue climbed 30.3% year-on-year to NT$989.92 billion, driven by insatiable demand for high-performance chips powering artificial intelligence applications.

Tech giants including Nvidia, OpenAI, and Oracle have ramped up orders for TSMC’s cutting-edge processors, fuelling the company’s meteoric rise.

TSMC’s CEO, C.C. Wei, reportedly attributed the growth to ‘unprecedented investment in AI infrastructure’, noting that the company’s advanced nodes are now central to training large language models and deploying generative AI tools.

Despite global economic headwinds and ongoing trade tensions, TSMC’s strategic expansion—including a $165 billion global buildout across Arizona, Europe, and Japan—is positioning it as the backbone of next-gen computing.

The results also reflect a broader shift in the semiconductor landscape. As traditional consumer electronics plateau, AI-driven demand is reshaping supply chains and investment priorities.

Analysts suggest that AI chip spending could surpass $1 trillion in the coming years, with TSMC poised to capture a significant share.

For investors and industry observers, the message is clear: AI isn’t just a trend—it’s a fundamental shift. And TSMC, with its unparalleled fabrication expertise and global influence, is quietly shaping the future.

As the AI arms race accelerates, TSMC’s performance offers a glimpse into the future of tech: one where silicon, not software, defines the frontier.

The company’s latest earnings are not just a financial milestone—they’re a signal of where innovation is headed next.

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Oracle Cloud reportedly to deploy 50,000 AMD AI chips, signalling direct competition with Nvidia

Oracle Cloud AI

Oracle Bets Big on AMD AI Chips, Challenging Nvidia’s Dominance

Oracle Cloud Infrastructure has announced plans to deploy 50,000 AMD Instinct MI450 graphics processors starting in the second half of 2026, marking a bold strategic shift in the AI hardware landscape.

The move signals a direct challenge to Nvidia’s long-standing dominance in the data centre GPU market, where it currently commands over 90% market share.

AMD’s MI450 chips, unveiled earlier this year, are designed for high-performance AI workloads and can be assembled into rack-sized systems that allow 72 chips to function as a unified engine.

This architecture is tailored for inferencing tasks—an area Oracle believes AMD will excel in. ‘We feel like customers are going to take up AMD very, very well’, reportedly said Karan Batta, Oracle Cloud’s senior vice president.

The announcement comes amid a broader realignment in the AI ecosystem. OpenAI, historically reliant on Nvidia hardware, has recently inked a multi-year deal with AMD involving processors requiring up to 6 gigawatts of power.

If successful, OpenAI could acquire up to 10% of AMD’s shares, further cementing the chipmaker’s role in next-generation AI infrastructure.

Oracle’s pivot also reflects its ambition to compete with cloud giants like Microsoft, Amazon, and Google. With a reported five-year cloud deal with OpenAI potentially worth $300 billion, Oracle is positioning itself not just as a capacity provider but as a strategic AI enabler.

While Nvidia remains a formidable force, Oracle’s investment in AMD chips underscores a growing appetite for alternatives.

As AI demands scale, diversity in chip supply could become a competitive advantage—especially for enterprises seeking flexibility, cost efficiency, and innovation beyond the Nvidia ecosystem.

The AI arms race is far from over, but Oracle’s latest move suggests it’s no longer content to play catch-up. It’s aiming to redefine the rules.

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Negative news is not affecting the market as the Nasdaq hits a new high!

Nasdaq rockets to new high

The Nasdaq Composite closed at a record high of 21,798.70 on Monday, 8th September 2025. That 0.45% gain was driven largely by a rally in chip stocks—Broadcom surged 3.2%, and Nvidia added nearly 1%.

The broader market also joined the party:

  • S&P 500 rose 0.21% to 6,495.15
  • Dow Jones Industrial Average climbed 0.25% to 45,514.95

Investor optimism is swirling around potential Federal Reserve rate cuts, especially with inflation data due later this week. The market’s momentum seems to be riding a wave of AI infrastructure spending and tech sector strength.

Negative news is not affecting the market – but why?

  • The Nasdaq Composite closes at a record high on Monday 8th September 2025.
  • Refunds could hit $1 trillion if tariffs are deemed illegal.
  • China’s Xpeng eyes global launch of its Mona brand.
  • French Prime Minister Francois Bayrou loses no-confidence vote.
  • UK deputy PM resigns after tax scandal.

Stocks are rising despite August’s dismal jobs report because investors are interpreting the weak labor data as a signal that interest rate cuts may be on the horizon—and that’s bullish for equities.

📉 The contradiction at the heart of the market The U.S. economy showed signs of slowing, with job numbers actually declining in June and August’s report falling short of expectations.

Normally, that would spook investors—fewer jobs mean less consumer spending, which hurts corporate earnings and stock prices.

📈 But here’s the twist Instead of panicking, markets rallied. The Nasdaq Composite hit a record high, and the S&P 500 and Dow Jones also posted gains.

Why? Because a weaker jobs market increases the likelihood that the Federal Reserve will cut interest rates to stimulate growth. Lower rates make borrowing cheaper and boost valuations—especially for tech stocks.

🤖 AI’s role in the rally Tech firms, particularly those tied to artificial intelligence like Broadcom and Nvidia, led the charge.

The suggestion is that investors may be viewing job cuts as a sign that AI is ‘working as intended’—streamlining operations and improving margins. Salesforce and Klarna, for instance, have both reportedly cited AI as a reason for major workforce reductions.

Summary

IndicatorValue / ChangeInterpretation
Nasdaq Composite📈 21,798.70 (Record High)Tech led rally, 
investor optimism
S&P 500➕ 6,495.15Broad market strength
Dow Jones➕ 45,514.95Industrial resilience
August Jobs Report📉 Missed expectationsLabour market weakness
Job Growth (June & Aug)📉 NegativeEconomic slowdown
Investor Reaction🟢 Rate cuts expectedBullish for equities
AI Layoff Narrative🤖 ‘Efficiency gains’Tech streamlining 
Featured StocksBroadcom +3.2%, Nvidia +0.9%AI infrastructure driving
Infographic summary

So, while the jobs report paints a gloomy picture for workers, the market sees a silver lining: rate relief and tech-driven efficiency.

It’s a classic case of Wall Street optimism—where bad news for Main Street can be good news for stock prices.

The career ladder is broken—but the Nasdaq is building a rocket.

The Fed up next to move the market.

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Is BIG tech being allowed to pay its way out of the tariff turmoil

BIG tech money aids tariff avoidance

Where is the standard for the tariff line? Is this fair on the smaller businesses and the consumer? Money buys a solution without fixing the problem!

  • Nvidia and AMD have struck a deal with the U.S. government: they’ll pay 15% of their China chip sales revenues directly to Washington. This arrangement allows them to continue selling advanced chips to China despite looming export restrictions.
  • Apple, meanwhile, is going all-in on domestic investment. Tim Cook announced a $600 billion U.S. investment plan over four years, widely seen as a strategic move to dodge Trump’s proposed 100% tariffs on imported chips.

🧩 Strategic Motives

  • These deals are seen as tariff relief mechanisms, allowing companies to maintain access to key markets while appeasing the administration.
  • Analysts suggest Apple’s move could trigger a ‘domino effect’ across the tech sector, with other firms following suit to avoid punitive tariffs.
Tariff avoidance examples

⚖️ Legal & Investor Concerns

  • Some critics call the Nvidia/AMD deal a “shakedown” or even unconstitutional, likening it to a tax on exports.
  • Investors are wary of the arbitrary nature of these deals—questioning whether future administrations might play kingmaker with similar tactics.

Big Tech firms are striking strategic deals to sidestep escalating tariffs, with Apple pledging $600 billion in U.S. investments to avoid import duties, while Nvidia and AMD agree to pay 15% of their China chip revenues directly to Washington.

These moves are seen as calculated trade-offs—offering financial concessions or domestic reinvestment in exchange for continued market access. Critics argue such arrangements resemble export taxes or political bargaining, raising concerns about legality and precedent.

As tensions mount, these deals reflect a broader shift in how tech giants navigate geopolitical risk and regulatory pressure.

They buy a solution…

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Trump’s 100% microchip tariff – A high-stakes gamble on U.S. manufacturing

U.S. 100% tariff threat on chips

President Donald Trump has announced a sweeping 100% tariff on imported semiconductors and microchips—unless companies are actively manufacturing in the United States.

The move, unveiled during an Oval Office event with Apple CEO Tim Cook, is aimed at turbocharging domestic production in a sector critical to everything from smartphones to defence systems.

Trump’s vow comes on the heels of Apple’s pledge to invest an additional $100 billion in U.S. operations over the next four years.

While the tariff exemption criteria remain vague, Trump emphasised that firms ‘committed to build in the United States’ would be spared the levy.

The announcement adds pressure to global chipmakers like Taiwan Semiconductor (TSMC), Nvidia, and GlobalFoundries, many of which have already initiated U.S. manufacturing projects.

According to the Semiconductor Industry Association, over 130 U.S.-based initiatives totalling $600 billion have been announced since 2020.

Critics warn the tariffs could disrupt global supply chains and raise costs for consumers, while supporters argue it’s a bold step toward tech sovereignty.

With AI, automotive, and defence sectors increasingly reliant on chips, the stakes couldn’t be higher.

Whether this tariff threat becomes a turning point or a trade war flashpoint remains to be seen.

Trump has a habit of unravelling as much as he ‘ravels’ – time will tell with this tariff too.

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U.S. introduces more restrictions on AI chip sales across the world

U.S. AI tech

In a significant move to maintain its technological edge and ‘national security’, the United States has announced new restrictions on the sale of advanced AI chips to most countries around the world

This decision, unveiled in the final days of President Joe Biden’s administration, aims to limit the global distribution of AI technology while ensuring that America’s closest allies continue to have access to these critical resources.

Regulation

The new regulations will cap the number of AI chips that can be exported to most countries, while allowing unlimited access to U.S. AI technology for America’s closest allies, including Japan, UK, South Korea, and the Netherlands.

This approach is designed to prevent adversaries like China, Russia, Iran, and North Korea from acquiring advanced computing power that could enhance their military capabilities.

Commerce Secretary Gina Raimondo emphasised the importance of maintaining U.S. leadership in AI development and chip design. ‘The U.S. leads AI now – both AI development and AI chip design, and it’s critical that we keep it that way,’ she reportedly said.

The regulations are part of a broader effort to close loopholes and add new guardrails to control the flow of AI chips and the global development of AI.

AI rules

The new rules will place limits on the export of advanced graphics processing units (GPUs), which are essential for powering data centers needed to train AI models. Companies like Nvidia and Advanced Micro Devices, which produce these chips, will be significantly impacted by the new regulations.

Major cloud service providers, such as Microsoft, Google, and Amazon, will be able to seek global authorisations to build data centres, exempting their projects from the country quotas on AI chips.

The Biden administration’s decision has faced criticism from industry leaders. Nvidia, a leading producer of AI chips, called the new rules “sweeping overreach” and argued that the restrictions would clamp down on technology already available in mainstream gaming PCs and consumer hardware.

Oracle, a major data center provider, expressed concerns that the rules would hand over a significant portion of the global AI and GPU market to Chinese competitors.

Despite the opposition, the U.S. government remains steadfast in its commitment to protecting national security and maintaining its technological dominance. The new regulations are set to take effect in 120 days, giving the incoming administration of President-elect Donald Trump time to weigh in on the implementation and enforcement of the rules.

Restrictions

The U.S. restrictions on AI chip sales represent a strategic effort to safeguard ‘national security’ and maintain leadership in AI technology.

While the new regulations have sparked controversy and criticism from industry leaders, the government’s focus on controlling the global distribution of AI chips underscores the importance of technological sovereignty in an increasingly competitive world

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What could quantum computing breakthrough ‘Willow’ mean for the future of Bitcoin and other cryptos

Crypto and quantum computing

The advent of quantum computing presents both opportunities and challenges for the field of cryptography, especially in relation to cryptocurrencies.

Quantum computers, leveraging the principles of quantum mechanics, have the potential to revolutionise computing by solving certain problems significantly faster than classical computers.

One of the primary concerns is the impact of quantum computing on cryptographic algorithms that underpin the security of cryptocurrencies like Bitcoin and Ethereum.

Traditional public-key cryptography, which relies on the difficulty of factoring large prime numbers or solving discrete logarithms, could be broken by a sufficiently powerful quantum computer. Algorithms such as RSA, ECC (Elliptic Curve Cryptography), and DSA (Digital Signature Algorithm) could become vulnerable, as quantum algorithms like Shor’s algorithm are capable of efficiently solving these problems.

This potential vulnerability poses a significant threat to the security and integrity of cryptocurrency transactions. If quantum computers can crack these cryptographic codes, they could potentially access private keys, allowing malicious actors to steal funds or forge transactions. As a result, the trust that underpins the entire cryptocurrency ecosystem could be eroded.

However, the quantum threat is not without its solutions. The field of post-quantum cryptography is actively developing new cryptographic algorithms that are resistant to quantum attacks.

These algorithms leverage mathematical problems believed to be hard even for quantum computers, such as lattice-based cryptography, hash-based cryptography, and multivariate polynomial cryptography.

Transitioning to post-quantum cryptographic algorithms is crucial for ensuring the long-term security of cryptocurrencies in a quantum computing era.

In conclusion, while quantum computing poses a formidable challenge to current cryptographic systems, proactive measures and the development of quantum-resistant algorithms can mitigate these risks.

The cryptocurrency industry must stay ahead of the curve, adopting new technologies and strategies to safeguard against potential quantum threats and ensure the continued security and trust in digital currencies.

It has been estimated that the arrival of quantum computer is at least 10 years away. But is that allowing for the use of AI in its creation?

What is Willow and Quantum Computing?

Willow is the start of a new era of ultra-powerful ‘quantum’ microchips designed by Google. Willow’s speed is almost incomprehensible – according to Google, it is able to perform a computation in under five minutes that would take one of today’s fastest supercomputers 10 septillion years to solve.

This new chip design will inevitably lead to new quantum innovations and computer design over the coming years.

Ten septillion is 10,000,000,000,000,000,000,000,000 years.

If you don’t understand (not many people do) what makes up quantum computing – there is a very simplified way simplified way of thinking about the breakthrough.

Imagine a maze and how a classical computer would try to find its way through the maze from start to finish. It would try one potential path at a time. A quantum computer would be able to try each path at the same time.

The quantum computer is coming. The only delay will be in design restrictions and the power needed to run the system.

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China initiates investigation into Nvidia as the microchip battle rumbles on

Tech tug 'o' war

China has reportedly initiated a probe into Nvidia, the US computer chip manufacturer, over purported breaches of anti-monopoly regulations.

The company’s shares fell by over 3% following the announcement, signalling the latest development in the ongoing tech conflict between the U.S. and China over the profitable semiconductor market.

Over recent weeks, the U.S. imposed stricter restrictions on the sale of certain exports to Chinese firms, and the dispute over the industry is anticipated to persist as Donald Trump returns to the White House.

Established in 1993, the company initially gained recognition for producing computer chips designed to process graphics, especially for video games.

Today, the tech giant leads in developing chips that drive artificial intelligence (AI), boasting a market value exceeding $3 trillion.

Its increasing control over the market has drawn scrutiny from competition regulators in the U.S. and internationally. Recently, the firm confirmed that it had been approached by regulatory bodies globally, including those in the U.S., UK, European Union, South Korea, and China.

The business finds itself at the centre of escalating geopolitical and economic tensions between the U.S. and China, with both nations vying for supremacy in advanced chip technology.

Nvidia disclosed last month that sales to China, including Hong Kong, represented approximately 13% of this year’s revenue to date.

However, this figure has declined following Americas enhancement of restrictions on sophisticated technology exports to Chinese companies, citing national security concerns. Chinese state media reported that Beijing had initiated an investigation.

The inquiry alleges that Nvidia breached commitments established during its 2020 acquisition of Mellanox Technologies, a smaller entity.

This development follows the U.S.’s recent intensification of restrictions, affecting sales to 140 entities, including Chinese chip companies such as Piotech and SiCarrier, barring special authorisation.

In retaliation, China reportedly imposed stringent new regulations on the export of crucial minerals to the U.S., such as antimony, gallium, and germanium. Observers have highlighted the significance of these measures, noting they specifically target the U.S rather than imposing general restrictions.