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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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…

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.

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

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.

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.

What is China’s equivalent to Nvidia?

AI microchips

Chinese firms are reportedly intensifying their efforts to develop a competitive alternative to Nvidia’s AI chips, as part of Beijing’s ongoing initiative to reduce its reliance on U.S. technology.

China faces several challenges that are impeding its technological progress, including U.S. export restrictions that limit domestic semiconductor production. The lack of technical expertise is also reported to be a problem.

Analysts have identified companies including Huawei as the principal competitors to Nvidia in China

China’s counterparts to Nvidia, such as Huawei, Alibaba, and Baidu, are actively developing AI chips to compete in the same market. Huawei’s HiSilicon division is known for its Ascend series of data centre processors.

Huawei’s HiSilicon division is known for its Ascend series of data centre processors, and Alibaba’s T-Head has produced the Hanguang 800 AI inference chip. Other significant players include Biren Technology and Cambricon Technologies.

Alibaba’s T-Head has developed the Hanguang 800 AI inference chip. Other significant players include Biren Technology and Cambricon Technologies.

These Chinese firms are intensifying their efforts to create alternatives to Nvidia’s AI-powering chips. This is a big part of Beijing’s broader initiative to reduce its reliance on U.S. technology.

Nvidia’s surge in growth is attributed to the demand from major cloud computing companies for its server products, which incorporate graphics processing units, or GPUs.

These GPUs are crucial for entities like OpenAI, the creator of ChatGPT, which requires substantial computational power to train extensive AI models on large datasets.

AI models are crucial for chatbots and other AI applications

Since 2022, the U.S. has limited the export of Nvidia’s top-tier chips to China, with further restrictions imposed last year.

The U.S. sanctions and Nvidia’s market dominance pose significant obstacles to China’s ambitions, particularly in the short term, according to analysts. The U.S. has curbed the export of Nvidia’s most sophisticated chips to China since 2022, with increased restrictions implemented last year.

China’s GPU designers rely on external manufacturers for chip production. Traditionally, this role was filled by Taiwan Semiconductor Manufacturing Co. (TSMC). However, due to U.S. restrictions, many Chinese firms are now unable to procure chips from TSMC.

As a result, they have shifted to using SMIC, China’s largest chipmaker, which is technologically several generations behind TSMC. This gap is partly due to Washington’s limitations on SMIC’s access to essential machinery from the Dutch company ASML, necessary for producing the most advanced chips.

Huawei is driving the development of more sophisticated chips for its smartphones and AI, which occupies a significant portion of SMIC’s capacity.

Nvidia has achieved success not only through its advanced semiconductors but also via its CUDA software platform. The system enables developers to build applications for Nvidia’s hardware. This has fostered an ecosystem around Nvidia’s designs, which will be challenging for competitors to emulate.

Huawei leading the pack for China

Huawei is at the forefront as a leading force in China for its Ascend series of data centre processors. The current generation, named Ascend 910B, is soon to be succeeded by the Ascend 910C. This new chip may come to rival Nvidia’s H100.

U.S. introduces new microchip-related export controls

U.S. chip rules

The Biden administration is reportedly implementing new export controls on essential technologies, such as quantum computing and semiconductor materials, in response to China’s progress in the global chip market

These controls encompass quantum computers and their components, sophisticated chipmaking tools, semiconductor technologies, certain metal and metal alloy components and software, and high-bandwidth chips, which are vital for AI applications.

While the U.S. intensifies its measures to curb China’s expansion, there is noticeable hesitancy within the global industry.

The U.S. Department of Commerce issued new regulations on Friday, 6th September 2024, encompassing quantum computers and their components, sophisticated chipmaking tools, certain metal and metal alloy components and software, as well as high-bandwidth chips, which are vital for AI applications.

See report details here

Qualcomm intensifies competition with Intel and AMD and others as the company introduces its newest AI PC chip

New AI chip from Qualcomm

Qualcomm has introduced the Snapdragon X Plus 8-core processor, intensifying its venture into the AI PC market and challenging competitors like Intel and AMD

The U.S. semiconductor powerhouse announced that the Snapdragon X Plus 8-core targets PCs priced from $700, aiming to broaden its chip reach to additional devices.

Moreover, Qualcomm has enjoyed backing from Microsoft, which is incorporating Snapdragon processors in its Copilot+ PCs.

Qualcomm says the company is also working on mixed reality smart glasses with Samsung and Google.

Biggest one-day market capitalisation drop for a U.S. stock in history, and guess what… it was Nvidia

Nvidia

Nvidia $279 billion market cap wipeout — the biggest in U.S. history for just ONE company

On Tuesday 3rd September 2024, around $279 billion of value was wiped off of Nvidia. That was the biggest one-day market capitalisation drop for a U.S. stock in HISTORY!

Nvidia one-day chart closed 108 on 3rd September 2024

Nvidia one-day chart closed 108 on 3rd September 2024

Nvidia shares continued sliding in post-market trading Tuesday, falling 2%, after Bloomberg reported that the company received a subpoena from the Department of Justice as part of an antitrust investigation.

Global semiconductor stocks and related sectors subsequently experienced a decline on Wednesday 4th September 2024, after Nvidia’s share price in the U.S. saw a significant plunge overnight.

Update: in a subsequent statement Nvidia reportedly said it didn’t receive antitrust subpoena from DOJ. This according to a report on CNBC.

Nvidia reports 122% revenue growth

Data centre

Nvidia has announced earnings surpassing Wall Street forecasts and has issued guidance for the current quarter that exceeds expectations.

As the artificial intelligence boom continues, Nvidia remains a major beneficiary. Despite a stock price dip, after trading hours, the stock has risen approximately 150% this year. The question remains whether Nvidia can sustain this growth trajectory.

Nvidia said it expects about $32.5 billion in current-quarter revenue, versus $31.7 billion expected by analysts, according to analysis That would be an increase of 80% from a year earlier.

Revenue continues to surge, rising 122% on an annual basis during the quarter, following three straight periods of year-on-year growth in excess of 200%.

Nvidia’s data centre business, which encompasses its AI processors, saw a 154% increase in revenue from the previous year, reaching $26.3 billion and representing 88% of the company’s total sales.

However, not all these sales were from AI chips. Nvidia reported that its networking products contributed $3.7 billion in revenue.

The company primarily serves a select group of cloud service providers and consumer internet firms, including Microsoft, Alphabet, Meta, and Tesla. Nvidia’s chips, notably the H100 and H200, are integral to the majority of generative AI applications, like OpenAI‘s ChatGPT.

Nvidia also announced a $50 billion stock buyback.

Nvidia shares dropped close to 5% in after-hours pre-market trade (29th August 2024).

How frothy is the AI data centre market for investors?

AI market froth?

Nvidia investors have been on a rocket ride to the stars. But recently they have come back down to Earth, and it has become more of a roller coaster ride.

Benefiting significantly from the artificial intelligence surge, Nvidia’s market cap has increased approximately ninefold since late 2022 – a massive market cap gain.

However, after achieving a peak in June 2024 and momentarily claiming the title of the world’s most valuable public company, Nvidia then experienced close to a 30% decline in value over the subsequent seven weeks, resulting in an approximate $800 billion loss in market capitalisation.

Currently, the stock is experiencing a rally, bringing it within approximately 6% of its all-time peak. The chipmaker surpassed the $3 trillion market cap milestone in early June 2024, aligning with Microsoft and Apple. The question remains whether the company can reclaim and sustain that title.

Investors are closely monitoring Nvidia’s forecast for the October quarter, with the company anticipated to report a growth of approximately 75%. Positive guidance would imply that Nvidia’s affluent clients continue to invest heavily in AI development, whereas a lacklustre forecast might suggest that infrastructure investment is becoming excessive.

Should there be any signs of diminishing demand for AI or if a major cloud customer is reducing spending, it could lead to a notable decline in revenue.

Intel sells stake in UK chip designer Arm

Circuit board microchip

Intel has divested its 1.18 million share stake in the British chip company Arm Holdings, according to a regulatory filing.

Intel is undergoing significant restructuring and cost-cutting to address competitive challenges in the semiconductor industry.

The recent transaction, disclosed on Tuesday 13th August 2024, is believed to have earned Intel approximately $147 million, based on Arm’s average share price between April and June 2024.

This move away from Arm occurs during a challenging financial phase for Intel, as it embarks on what CEO Pat Gelsinger reportedly describes as “the most extensive restructuring of Intel since the memory microprocessor transition four decades ago.”

In early August, Intel announced a cost-reduction plan designed to save $10 billion. This includes the layoff of about 15,000 employees, the elimination of the fiscal fourth-quarter dividend, and a reduction in capital expenditures.

At the same time, Intel disclosed quarterly figures that fell short of expectations and provided conservative guidance for the upcoming quarter.

This announcement precipitated the steepest single-day decline in Intel’s stock value in half a century, plummeting 26%.

Intel one year chart as of 15th August 2024

Intel one year chart as of 15th August 2024

Amazon, Intel, Meta, Nintendo, Apple, Snap, Qualcomm and others report – here’s a brief round-up

Reports summary 31st July 2024 -1st August 2024

Amazon offers weak guidance citing Olympics and the Trump assassination attempt as cause (consumers are distracted). However, Amazon’s cloud unit reports 19% revenue growth, topping estimates and a 20% increase in business in Q2. Amazon stocks pull back after guidance update.

Intel endures a 22% share plunge dragging down other global microchip stocks from TSMC, ASML to Samsung. Company to cut 15% of workforce, reports quarterly guidance miss.

Meta shares climb 6% on positive earnings data and good revenue forecast. Zuckerberg enthused over AI and how it’s helping create profits suggesting ‘Meta’s advertising growth is proof that BIG AI spending is already paying off.’ However, Meta’s Reality Labs posts $4.5 billion loss in second quarter.

Nintendo profit falls 55% as sales of its ageing Switch console plunge. Nintendo revenue and profit plunged in Q1 as sales of its ageing Switch console decline. Nintendo sold 2.1 million units of its Switch consoles, down 46% on the year. Investors are seeking news surrounding a successor to the Nintendo Switch console.

Apple sales climbed 5%, topping estimates as iPad and services revenue lift despite ongoing issues with iPhone sales slipping in China. Apple is spending more on AI but remains way behind its peers.

Snap shares plunge more than 20% on weak guidance.

Qualcomm beats estimates as phone microchip sales up 12%.

Samsung Q2 revenue and profit comes in above estimates amid strong AI demand.

AMD jumps 5% as global microchip stocks rally. Data centre sales doubled.

Nvidia rebounds after half a trillion market cap slump

Hot AI

To put this figure into some perspective, the loss is comparable to the GDP output of a small country, such as Norway, Singapore, or the UAE, for example.

Global semiconductor stocks experienced volatility on Tuesday following a decline in Nvidia’s shares from the previous trading sessions.

Shares of chip firms in Europe and Asia fell in early trade as investors reacted to Nvidia losing more than $500 billion in market capitalization over three trading days. Some of the stocks recouped losses, however, as shares in the U.S. chipmaking giant recovered around 6 – 6.5% as of Tuesday 25th June 2024.

This follows a significant drop in Nvidia’s share value, which fell 13% over three consecutive sessions from the record highs achieved on Thursday 20th June 2024.

On Monday 24th June 2024, Nvidia’s stock closed down 6.7%, marking its second-largest decline of the year, yet the shares began to recover in early trading on Tuesday 25th June 2024.

Last week, the company surpassed Apple and Microsoft to become the most valuable U.S. company, achieving a market capitalization of over $3.4 trillion. However, by the end of Monday, Nvidia’s market value had declined by more than $540 billion from its intraday record on Thursday 20th June 2024.

Nvidia reported that the demand for its highly sought-after artificial intelligence graphics processing units (GPUs) continues to be strong.

Companies such as Microsoft, Google, Amazon, and Meta are investing billions of dollars in these chips to enhance their data centres and cloud services.

Little know company Kneron launches latest AI chips – backed by Qualcomm

AI chip

Kneron, a startup specializing in artificial intelligence chips, unveiled its latest products on Wednesday 4th June 2024.

The company aims to exploit the growing world-wide interest in AI and provide an alternative to industry heavyweights such as Nvidia and AMD.

The company, headquartered in Taiwan and supported by American semiconductor leader Qualcomm and major iPhone assembler Foxconn, introduced the KNEO 330, its second-generation ‘edge GPT’ server.

GPT, short for generative pre-trained transformer, is an AI algorithm trained on vast datasets capable of generating text and images, with OpenAI’s ChatGPT being the world leader right now.

Cisco’s ThousandEyes has unveiled an AI product designed to predict and rectify internet outages

AI net

ThousandEyes, Cisco’s internet monitoring division, has introduced a new suite of AI-driven features known as Digital Experience Assurance, or DXA, on Tuesday 4th June 2024.

The firm asserts that this new AI technology will allow customers to not only monitor but also automatically address issues affecting network quality.

Describing itself as the ‘Google Maps’ of the internet, Cisco ThousandEyes offers a comprehensive, end-to-end perspective of every user and application across all networks.

Established 15 years prior, the company has been heavily investing in AI technology in recent years.

ThousandEyes is now implementing significant AI-centric modifications to its platform, which are designed to enhance its clients’ oversight of network quality and robustness.