Huawei has unveiled a bold new AI chip cluster strategy aimed squarely at challenging Nvidia’s dominance in high-performance computing.
At its Connect 2025 conference in Shanghai, Huawei introduced the Atlas 950 and Atlas 960 SuperPoDs—massive AI infrastructure systems built around its in-house Ascend chips.
These clusters represent China’s most ambitious attempt yet to bypass Western semiconductor restrictions and assert technological independence.
The technical stuff
The Atlas 950 SuperPoD, launching in late 2026, will integrate 8,192 Ascend 950DT chips, delivering up to 8 EFLOPS of FP8 compute and 16 EFLOPS at FP4 precision. (Don’t ask me either – but that’s what the data sheet says).
It boasts a staggering 16.3 petabytes per second of interconnect bandwidth, enabled by Huawei’s proprietary UnifiedBus 2.0 optical protocol. It is reportedly claimed to be ten times faster than current internet backbone infrastructure.
This system is reportedly designed to outperform Nvidia’s NVL144 cluster, with Huawei asserting a 6.7× advantage in compute power and 15× in memory capacity.
In 2027, Huawei reportedly plans to release the Atlas 960 SuperPoD, doubling the specs with 15,488 Ascend 960 chips. This reportedly will give 30 EFLOPS FP8 compute, and 34 PB/s bandwidth.
These SuperPoDs will be linked into SuperClusters. The Atlas 960 SuperCluster is reportedly projected to reach 2 ZFLOPS of FP8 performance. This potentially rivals even Elon Musk’s xAI Colossus and Nvidia’s future NVL576 deployments.
Huawei’s roadmap includes annual chip upgrades: Ascend 950 in 2026, Ascend 960 in 2027, and Ascend 970 in 2028.
Each generation promises to double computing power. The chips will feature Huawei’s own high-bandwidth memory variants—HiBL 1.0 and HiZQ 2. These are designed to optimise inference and training workloads.
Strategy
This strategy reflects a shift in China’s AI hardware approach. Rather than competing on single-chip performance, Huawei is betting on scale and system integration.
By controlling the entire stack—from chip design to memory, networking, and interconnects—it aims to overcome fabrication constraints imposed by U.S. sanctions.
While Huawei’s software ecosystem still trails Nvidia’s CUDA, its CANN toolkit is gaining traction. Chinese regulators discourage purchases of Nvidia’s AI chips.
The timing of Huawei’s announcement coincides with increased scrutiny of Nvidia in China, suggesting a coordinated push for domestic alternatives.
In short, Huawei’s AI cluster strategy is not just a technical feat—it’s a geopolitical statement.
Whether it can match Nvidia’s real-world performance remains to be seen, but the ambition is unmistakable.
Oracle Corporation has just staged one of the most dramatic rallies in tech history—catapulting itself into the elite club of near-trillion-dollar companies and reshaping the billionaire leaderboard in the process.
Founded in 1977 by Larry Ellison, Oracle began as a modest database software firm. Its first major boom came in the late 1990s, riding the dot-com wave as enterprise software demand exploded.
By 2000, Oracle’s market cap had surged past $160 billion, making it one of the most valuable tech firms of the era.
A second wave of growth followed in the mid-2000s, fuelled by aggressive acquisitions like PeopleSoft and Sun Microsystems, which expanded Oracle’s footprint into enterprise applications and hardware.
Boom
But its most recent boom—triggered in 2025—is unlike anything before. Oracle’s pivot to cloud infrastructure and artificial intelligence has paid off spectacularly. In its fiscal Q1 2026 report, Oracle revealed $455 billion in remaining performance obligations (RPO), a staggering 359% increase year-over-year.
This backlog, driven by multi-billion-dollar contracts with AI giants like OpenAI, Meta, Nvidia, and xAI, sent shockwaves through Wall Street.
Despite missing revenue and earnings expectations slightly—$14.93 billion in revenue vs. $15.04 billion expected, and $1.47 EPS vs. $1.48 forecasted—the market responded with euphoria.
Oracle’s stock soared nearly 36% in a single day, adding $244 billion to its market cap and pushing it to approximately $922 billion. Analysts called it ‘absolutely staggering’ and ‘truly awesome’, with Deutsche Bank reportedly raising its price target to $335.
Oracle Infographic September 2025
This meteoric rise had personal consequences too. Larry Ellison, Oracle’s co-founder and current CTO, saw his net worth jump by over $100 billion in one day, briefly surpassing Elon Musk to become the world’s richest person.
His fortune reportedly peaked at around $397 billion, largely tied to his 41% stake in Oracle. Ellison’s journey—from college dropout to tech titan—is now punctuated by the largest single-day wealth gain ever recorded.
CEO Safra Catz also benefited, with her net worth rising by $412 million in just six hours of trading, bringing her total to $3.4 billion. Under her leadership, Oracle’s stock has risen over 800% since she became sole CEO in 2019.
Oracle’s forecast for its cloud infrastructure business is equally jaw-dropping: $18 billion in revenue for fiscal 2026, growing to $144 billion by 2030. If these projections hold, Oracle could soon join the trillion-dollar club alongside Microsoft, Apple, and Nvidia.
From database pioneer to AI infrastructure powerhouse, Oracle’s evolution is a masterclass in strategic reinvention.
Oracle one-year chart 10th September 2025
Oracle one-year chart 10th September 2025
And with Ellison now at the summit of global wealth, the company’s narrative is no longer just about software—it’s about legacy, dominance, and the future of intelligent computing.
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.
Nvidia revealed in a financial filing (August 2025) that two of its customers accounted for 39% of its revenue in the July 2025 quarter, sparking concerns about the concentration of its client base.
According to the company’s second-quarter filing with the Securities and Exchange Commission, ‘Customer A’ accounted for 23% of total revenue, while ‘Customer B’ made up 16%.
Nvidia announced on Wednesday 27th August 2025 that demand for its AI systems remains strong, not only from cloud providers but also from enterprises investing in AI, neoclouds and foreign governments.
The S&P 500 has notched yet another all-time high, closing at 6501.86 on 28th August 2025
This surge reflects broad investor optimism, driven by strong corporate earnings and expectations of a more accommodative stance from the Federal Reserve.
With tech, healthcare, and financials all contributing to the rally and the indices continued momentum.
Wall Street keeps on giving
Another high for the S&P 500. The index added 0.32% Thursday and closed above the 6,500 level for the first time. Asia-Pacific markets had a mixed performance on Friday 29th August 2025, with Japanese stocks declining as core consumer prices in Tokyo showed slower growth in August.
S&P 500 one-month cart as it hist new all-time high on 28th August 2025
U.S. second-quarter GDP – revised higher than expected. The economy grew at an annualized rate of 3.3%, according to the Commerce Department’s second estimate, surpassing the initial estimate of 3.0% and the Dow Jones consensus forecast of 3.1%.
Two customers made up 39% of Nvidia’s second-quarter revenue. According to Nvidia’s financial filing this week (August 2025), the customers could be either cloud providers or manufacturers, but not much else is known about their identities.
The S&P 500 closed at a fresh all-time high of 6,481.40, on 27th August 2025, marking a milestone driven largely by investor enthusiasm around artificial intelligence and anticipation of Nvidia’s earnings report.
This marks the index’s highest closing level ever, surpassing its previous record from 14th August 2025.
Here’s what powered the rally
🧠 AI Momentum: Nvidia, which now commands over 8% of the S&P 500’s weighting, has become a bellwether for AI-driven growth. Despite closing slightly down ahead of its earnings release, expectations for ‘humongous revenue gains’ kept investor sentiment buoyant.
💻 Tech Surge: Software stocks led the charge, with MongoDB soaring 38% after raising its profit forecast.
🏦 Fed Rate Cut Hopes: Comments from New York Fed President John Williams reportedly hinted at a possible rate cut in September, helping ease bond yields and boost equities.
🔋 Sector Strength: Energy stocks rose 1.15%, leading gains across 8 of the 11 S&P sectors.
S&P 500 at all-time record 27th August 2025
Even with Nvidia’s post-bell dip, the broader market seems to be pricing in sustained AI growth and a more dovish Fed stance.
Nvidia forecasts decelerating growth after a two-year AI Boom. A cautious forecast from the world’s most valuable company raises worries that the current rate of investment in AI systems might not be sustainable.
As Nvidia prepares to unveil another round of blockbuster earnings, Wall Street’s gaze remains firmly fixed on the AI darling’s ascent.
The company has become a proxy for the entire tech sector’s hopes, its valuation ballooning on the back of generative AI hype and data centre demand. Traders, analysts, and even pension funds are treating Nvidia’s quarterly results as a bellwether for market sentiment.
But while the Street pops champagne over GPU margins, a quieter and arguably more consequential drama is unfolding in Washington: The Federal Reserve’s independence is under threat.
Recent political manoeuvres—including calls to fire Fed Governor Lisa Cook and reshape the Board’s composition—have raised alarm bells among economists and institutional investors.
The Fed’s ability to set interest rates free from partisan pressure is a cornerstone of global financial stability. Undermining that autonomy could rattle bond markets, distort inflation expectations, and erode trust in the dollar itself.
Yet, the disparity in attention is striking. Nvidia’s earnings dominate headlines, while the Fed’s institutional integrity is relegated to op-eds and academic panels.
Why? In part, it’s the immediacy of Nvidia’s impact—its share price moves billions in minutes.
The Fed’s erosion, by contrast, is a slow burn, harder to quantify and easier to ignore until it’s too late.
Wall Street may be betting that the Fed will weather the political storm. But if central bank independence falters, even Nvidia’s stellar performance won’t shield markets from the fallout.
The real risk isn’t missing an earnings beat—it’s losing the referee in the game of monetary policy.
In the end, Nvidia may be the star of the show, but the Fed is the stage. And if the stage collapses, the spotlight won’t save anyone.
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.
In a sweeping rally that spanned continents and sectors, major global indices surged to fresh record highs yesterday, buoyed by cooling inflation data,renewed hopes of U.S. central bank rate cuts, and easing trade tensions.
U.S. inflation figures released 12th August 2025 for July came in at: 2.7% – helping to lift markets to new record highs!
U.S. Consumer Price Index — July 2025
Metric
Value
Monthly CPI (seasonally adjusted)
+0.2%
Annual CPI (headline)
+2.7%
Core CPI (excl. food & energy)
+0.3% monthly, +3.1% annual
Despite concerns over Trump’s sweeping tariffs, the U.S. July 2025 CPI came in slightly below expectations (forecast was 2.8% annual).
Economists noted that while tariffs are beginning to show up in certain categories, their broader inflationary impact remains modest — for now.
Global Indices Surged to Record Highs Amid Rate Cut Optimism and Tariff Relief
Tuesday, 12 August 2025 — Taking Stock
📈 S&P 500: Breaks Above 6,400 for First Time
Closing Level: 6,427.02
Gain: +1.1%
Catalyst: Softer-than-expected U.S. CPI data (+2.7% YoY) boosted bets on a September rate cut, with 94% of traders now expecting easing.
Sector Drivers: Large-cap tech stocks led the charge, with Microsoft, Meta, and Nvidia all contributing to the rally.
💻 Nasdaq Composite & Nasdaq 100: Tech Titans Lead the Way
Nasdaq Composite: Closed at a record 21,457.48 (+1.55%)
Nasdaq 100: Hit a new intraday high of 23,849.50, closing at 23,839.20 (+1.33%)
Highlights:
Apple surged 4.2% after announcing a $600 billion U.S. investment plan.
AI optimism continues to fuel gains across the Magnificent Seven stocks.
Nasdaq 100 chart 12th August 2025
Nasdaq 100 chart 12th August 2025
🧠 Tech 100 (US Tech Index): Momentum Builds
Latest High: 23,849.50
Weekly Gain: Nearly +3.7%
Outlook: Traders eye a breakout above 24,000, with institutional buying accelerating. Analysts note a 112% surge in net long positions since late June.
🇯🇵 Nikkei 225: Japan Joins the Record Club
Closing Level: 42,718.17 (+2.2%)
Intraday High: 43,309.62
Drivers:
Relief over U.S. tariff revisions and a 90-day pause on Chinese levies.
Strong earnings from chipmakers like Kioxia and Micron.
Speculation of expanded fiscal stimulus following Japan’s recent election results.
🧮 Market Sentiment Snapshot
Index
Record Level Reached
% Gain Yesterday
Key Driver
S&P 500
6,427.02
+1.1%
CPI data, rate cut bets
Nasdaq Comp.
21,457.48
+1.55%
AI optimism, Apple surge
Nasdaq 100
23,849.50
+1.33%
Tech earnings, institutional buying
Tech 100
23,849.50
+1.06%
Momentum, bullish sentiment
Nikkei 225
43,309.62
+2.2%
Tariff relief, chip rally
📊 Editorial Note: While the rally reflects strong investor confidence, analysts caution that several indices are approaching technical overbought levels.
The Nikkei’s RSI, for instance, has breached 75, often a precursor to short-term pullbacks.
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.
In a bold move reshaping the global AI landscape, Chinese startup Z.ai has launched GLM-4.5, an open-source model touted as cheaper, smaller, and more efficient than rivals like DeepSeek.
The announcement, made at the World Artificial Intelligence Conference in Shanghai, has sent ripples across the tech sector.
What sets GLM-4.5 apart is its lean architecture. Requiring just eight Nvidia H20 chips—custom-built to comply with U.S. export restrictions—it slashes operating costs dramatically.
By comparison, DeepSeek’s model demands nearly double the compute power, making GLM-4.5 a tantalising alternative for cost-conscious developers and enterprises.
But the savings don’t stop there. Z.ai revealed that it will charge just $0.11 per million input tokens and $0.28 per million output tokens. In contrast, DeepSeek R1 costs $0.14 for input and a hefty $2.19 for output, putting Z.ai firmly in the affordability lead.
Functionally, GLM-4.5 leverages ‘agentic’ AI—meaning it can deconstruct tasks into subtasks autonomously, delivering more accurate results with minimal human intervention.
This approach marks a shift from traditional logic-based models and promises smarter integration into coding, design, and editorial workflows.
Z.ai, formerly known as Zhipu, boasts an impressive funding roster including Alibaba, Tencent, and state-backed municipal tech funds.
With IPO ambitions on the horizon, its momentum mirrors China’s broader push to dominate the next wave of AI innovation.
While the U.S. has placed Z.ai on its entity list, stifling some Western partnerships, the firm insists it has adequate computing resources to scale.
As AI becomes a battleground for technological and geopolitical influence, GLM-4.5 may prove to be a powerful competitor.
China has reportedly voiced concerns about the security implications of Nvidia’s cutting-edge artificial intelligence chips, deepening the tech cold war between Beijing and Washington.
The caution follows increasing scrutiny of semiconductors used in defence, infrastructure, and digital surveillance systems—sectors where AI accelerators play an outsized role.
While no official ban has been announced, sources suggest that Chinese regulators are examining how Nvidia’s chips—known for powering generative AI and large language models—might pose risks to national data security.
At the core of the issue is a growing unease about foreign-designed hardware transmitting or processing sensitive domestic information, potentially exposing it to surveillance or manipulation.
In response, Chinese tech firms have been developing domestic alternatives, including chips from Huawei and Alibaba, though few match Nvidia’s sophistication or efficiency.
The situation highlights China’s larger strategy to reduce reliance on American technology, especially as AI becomes more integral to industrial automation, cyber defence, and public services.
It also underscores the dual-use dilemma of AI—where innovation in consumer tech can quickly scale into military applications.
While diplomatic channels remain frosty, the market implications are heating up. Nvidia’s shares dipped slightly on the news, and analysts predict renewed interest in sovereign chip initiatives across Asia.
For all the lofty aspirations of AI making the world smarter, it seems that suspicion—not cooperation—is the current driving force behind chip geopolitics.
As one observer quipped, ‘We built machines to think for us—now we’re worried they’re thinking too much, in all the wrong places’.
Nvidia reportedly denies there are any security concerns.
In a landmark moment for the tech industry, Microsoft has officially joined Nvidia in the exclusive $4 trillion market capitalisation club, following a surge in its share price after stellar Q4 earnings.
This accolade achieved on 31st July 2025 marks a dramatic shift in the hierarchy of global tech giants, with Microsoft briefly overtaking Nvidia to become the world’s most valuable company. But for how long?
The rally was fuelled by Microsoft’s aggressive investment in artificial intelligence and cloud infrastructure. Azure, its cloud platform, posted a 39% year-on-year revenue increase, surpassing $75 billion in annual sales.
The company’s Copilot AI tools, now boasting over 100 million monthly active users, have become central to its strategy, embedding generative AI across productivity software, development platforms, and enterprise services.
Microsoft’s transformation from a traditional software provider to an AI-first powerhouse has been swift and strategic. Its partnerships with OpenAI, Meta, and xAI, combined with over $100 billion in planned capital expenditure, signal a long-term commitment to shaping the future of AI utility.
While Nvidia dominates the hardware side of the AI revolution, Microsoft is staking its claim as the platform through which AI is experienced.
This milestone not only redefines Microsoft’s legacy—it redraws the map of pure tech power and reach the company has around the world.
This has been earned over decades of business commitment.
The U.S. stock market surged into July 2025 with a wave of optimism, as the S&P 500 and Nasdaq 100 both hit fresh all-time highs, while the Dow Jones Industrial Average continued its upward climb.
The S&P 500 closed at 6279, marking its fourth record close in five sessions, and the Nasdaq 100 soared to 22867, fueled by strength in AI and semiconductor stocks.
S&P 500 YTD chart
Nasdaq 100 YTD chart
Driving the rally was a stronger-than-expected June 2025 jobs report, which revealed 147,000 new positions added and an unemployment rate dipping to 4.1%.
This labour market resilience tempered expectations for a near-term Federal Reserve rate cut, but bolstered investor confidence in the economy’s momentum.
Tech giants like Nvidia and Microsoft led the charge, with Nvidia nearing a $4 trillion market cap amid surging demand for AI infrastructure.
Datadog spiked after being added to the S&P 500, and financials like JPMorgan Chase and Goldman Sachs hit lifetime highs.
The Dow, while slightly trailing its tech-heavy peers, posted steady gains and now hovers near its own record territory.
With trade optimism rising and President Trump’s tax-and-spending bill passed, Wall Street enters the holiday weekend riding a wave of bullish sentiment.
As U.S. equity markets continue their relentless climb, a growing number of stocks are flashing warning signs through one of the most widely followed technical indicators: the Relative Strength Index (RSI).
Designed to measure momentum, RSI values above 70 typically indicate that a stock is overbought and may be due for a pullback.
As of early July 2025, several high-profile U.S. companies have RSI readings well above this threshold, suggesting that investor enthusiasm may be outpacing fundamentals.
🔍 What Is RSI?
The RSI is a momentum oscillator that ranges from 0 to 100. Readings above 70 suggest a stock is overbought, while readings below 30 indicate it may be oversold. While not a crystal ball, RSI is a useful tool for identifying potential reversals or pauses in price trends.
🚨 Top 5 Overbought U.S. Stocks (as of 1st July 2025)
These companies have benefited from the ongoing AI and biotech booms, with Nvidia and AMD riding the wave of demand for next-gen chips, while Alnylam and Circle Internet Group have surged on strong earnings and innovation in their respective sectors.
📊 RSI Snapshot: Top 10 U.S. Stocks by RSI
Rank
Company
Ticker
RSI
Sector
1
Nvidia
NVDA
84.3
Semiconductors
2
Super Micro Computer
SMCI
82.7
Hardware
3
AMD
AMD
80.1
Semiconductors
4
Alnylam Pharmaceuticals
ALNY
78.9
Biotech
5
Circle Internet Group
CIRC
77.5
Internet Services
6
Mereo BioPharma Group
MPH
76.4
Biotech
7
AVITA Medical
AVH
75.2
Healthcare
8
Microsoft
MSFT
74.8
Software
9
Lumentum Holdings
LITE
73.6
Optical Tech
10
Workiva
WK
72.9
Cloud Software
📌 What This Means for Investors
While high RSI doesn’t guarantee a drop, it does suggest caution. Stocks like Nvidia and Super Micro may continue to rise in the short term, but their elevated RSI levels imply that momentum could stall or reverse if sentiment shifts or earnings disappoint.
Investors should consider pairing RSI with other indicators – such as MACD, volume trends, and earnings outlooks – before making decisions.
For long-term holders, these signals may simply be noise. But for traders, they’re a flashing yellow light.
In a remarkable show of investor confidence, the S&P 500 and Nasdaq Composite both reached new all-time highs on 30th June 2025.
The markets were buoyed by optimism around easing inflation, resilient corporate earnings, and renewed enthusiasm for the tech sector, especially AI.
The S&P 500 climbed to a record close of 6205, while the Nasdaq soared 1.2% to finish at 22679 marking its fourth consecutive record-breaking session.
S&P 3-month chart
S&P 3 month chart
Traders pointed to stronger-than-expected economic data and dovish commentary from the Federal Reserve as catalysts that reignited appetite for risk.
Tech giants led the charge, with chipmakers and AI-related firms once again at the forefront.
Nvidia, now the world’s most valuable publicly traded company, gained over 2%, while Apple, Microsoft, and Alphabet also notched solid gains.
The technology-heavy Nasdaq has been particularly responsive to momentum in artificial intelligence and next-generation computing, driving its meteoric rise in recent months.
Nasdaq 100 3-month chart
Nasdaq 100 3-month chart
From April 2025 Trump tariff melt-down to new highs in June 2025
Beyond tech, sectors such as consumer discretionary and industrials also saw modest gains, suggesting a broadening of the rally.
Analysts now debate whether this marks the beginning of a sustainable expansion or a potential overheating of equities.
Meanwhile, Treasury yields held steady, and oil prices ticked higher, signalling confidence in continued global demand.
With earnings season on the horizon, market watchers are closely monitoring corporate guidance to gauge whether valuations can justify further upside.
For now, though, the bulls are clearly in control – and Wall Street is basking in green.
Nvidia has once again claimed the title of the world’s most valuable publicly traded company, overtaking Microsoft with a staggering market capitalisation of $3.76 trillion.
This milestone follows a 4% surge in Nvidia’s share price, closing at an all-time high of $154.10.
The rally was fuelled by renewed investor enthusiasm for artificial intelligence. Analysts citing it as a ‘Golden Wave’ of generative AI adoption driving demand for Nvidia’s high-performance chips.
The company’s meteoric rise has been underpinned by its dominance in AI hardware, particularly its GPUs, which power everything from ChatGPT to enterprise-scale AI models.
Since bottoming out in early April 2025, Nvidia’s stock has soared more than 60%, far outpacing the broader tech market.
Founded in 1993 to produce graphics chips for gaming, Nvidia has transformed into the backbone of the AI revolution. Its accelerators are now essential infrastructure for companies like Microsoft, Meta, and Google.
Nvidia share price as of 25th June 2025 – a 3 month snapshot
Nvidia share price as of 25th June 2025 – a 3 month snapshot
Despite its rapid ascent, Nvidia’s valuation remains relatively modest compared to historical norms, trading at around 30 times projected earnings.
As the AI arms race intensifies, Nvidia’s position at the summit of global markets underscores the growing importance of its power in shaping the digital future.
AMD has officially lifted the curtain on its next-generation AI chip, the Instinct MI400, marking a significant escalation in the battle for data centre dominance.
Set to launch in 2026, the MI400 is designed to power hyperscale AI workloads with unprecedented efficiency and performance.
Sam Altman and OpenAI have played a surprisingly hands-on role in AMD’s development of the Instinct MI400 series.
Altman appeared on stage with AMD CEO Lisa Su at the company’s ‘Advancing AI’ event, where he revealed that OpenAI had provided direct feedback during the chip’s design process.
Altman described his initial reaction to the MI400 specs as ‘totally crazy’ but expressed excitement at how close AMD has come to delivering on its ambitious goals.
He praised the MI400’s architecture – particularly its memory design – as being well-suited for both inference and training tasks.
OpenAI has already been using AMD’s MI300X chips for some workloads and is expected to adopt the MI400 series when it launches in 2026.
This collaboration is part of a broader trend: OpenAI, traditionally reliant on Nvidia GPUs via Microsoft Azure, is now diversifying its compute stack.
AMD’s open standards and cost-effective performance are clearly appealing, especially as OpenAI also explores its own chip development efforts with Broadcom.
AMD’s one-year chart snap-shot
One-year AMD chart snap-shot
So, while OpenAI isn’t ditching Nvidia entirely, its involvement with AMD signals a strategic shift—and a vote of confidence in AMD’s growing role in the AI hardware ecosystem.
At the heart of AMD’s strategy is the Helios rack-scale system, a unified architecture that allows thousands of MI400 chips to function as a single, massive compute engine.
This approach is tailored for the growing demands of large language models and generative AI, where inference speed and energy efficiency are paramount.
AMD technical power
The MI400 boasts a staggering 432GB of next-generation HBM4 memory and a bandwidth of 19.6TB/sec—more than double that of its predecessor.
With up to four Accelerated Compute Dies (XCDs) and enhanced interconnects, the chip delivers 40 PFLOPs of FP4 performance, positioning it as a formidable rival to Nvidia’s Rubin R100 GPU.
AMD’s open-source networking technology, UALink, replaces Nvidia’s proprietary NVLink, reinforcing the company’s commitment to open standards. This, combined with aggressive pricing and lower power consumption, gives AMD a compelling value proposition.
The company claims its chips can deliver 40% more AI tokens per dollar than Nvidia’s offerings.
Big tech follows AMD
OpenAI, Meta, Microsoft, and Oracle are among the major players already integrating AMD’s Instinct chips into their infrastructure. OpenAI CEO Sam Altman, speaking at the launch event reportedly praised the MI400’s capabilities, calling it ‘an amazing thing‘.
With the AI chip market projected to exceed $500 billion by 2028, AMD’s MI400 is more than just a product—it’s a statement of intent. As the race for AI supremacy intensifies, AMD is betting big on performance, openness, and affordability to carve out a larger share of the future.
It certainly looks like AMD is positioning the Instinct MI400 as a serious contender in the AI accelerator space – and Nvidia will be watching closely.
The MI400 doesn’t just aim to catch up; it’s designed to challenge Nvidia head-on with bold architectural shifts and aggressive performance-per-dollar metrics.
Nvidia has long held the upper hand with its CUDA software ecosystem and dominant market share, especially with the popularity of its H100 and the upcoming Rubin GPU. But AMD is playing the long game.
Nvidia 0ne-year chart snapshot
Nvidia 0ne-year chart snapshot
By offering open standards like UALink and boasting impressive specs like 432GB of HBM4 memory and 40 PFLOPs of FP4 performance, the MI400 is pushing into territory that was once Nvidia’s alone.
Whether it truly rivals Nvidia will depend on a few key factors: industry adoption, software compatibility, real-world performance under AI workloads, and AMD’s ability to scale production and support.
But with major players like OpenAI, Microsoft, and Meta already lining up to adopt the MI400.
At London Tech Week, Nvidia CEO Jensen Huang made a striking statement: “The way you program an AI is like the way you program a person.” (Do we really program people or do we teach)?
This marks a fundamental shift in how we interact with artificialintelligence, moving away from traditional coding languages and towards natural human communication.
Historically, programming required specialised knowledge of languages like C++ or Python. Developers had to meticulously craft instructions for computers to follow.
Huang argues that AI has now evolved to understand and respond to human language, making programming more intuitive and accessible.
This transformation is largely driven by advancements in conversational AI models, such as ChatGPT, Gemini, and Copilot.
These systems allow users to issue commands in plain English – whether asking an AI to generate images, write a poem, or even create software code. Instead of writing complex algorithms, users can simply ask nicely, much like instructing a colleague or student.
Huang’s analogy extends beyond convenience. Just as people learn through feedback and iteration, AI models refine their responses based on user input.
If an AI-generated poem isn’t quite right, users can prompt it to improve, and it will think and adjust accordingly.
This iterative process mirrors human learning, where guidance and refinement lead to better outcomes.
The implications of this shift are profound. AI is no longer just a tool for experts – it is a great equalizer, enabling anyone to harness computing power without technical expertise.
As businesses integrate AI into their workflows, employees will need to adapt, treating AI as a collaborative partner rather than a mere machine.
This evolution in AI programming is not just about efficiency; it represents a new era where technology aligns more closely with human thought and interaction.
Saudi Arabia is making bold moves in artificial intelligence with a major acquisition from Nvidia.
The tech giant will be sending more than 18,000 of its latest GB300 Blackwell AI chips to Saudi-based company Humain, in a deal that marks a significant step toward the nation’s ambitions to become a global AI powerhouse.
The announcement was made by Nvidia CEO Jensen Huang during the Saudi-U.S. Investment Forum in Riyadh, as part of a White House-led trip that included President Donald Trump and other top CEOs.
Humain, backed by Saudi Arabia’s Public Investment Fund, plans to use the chips to develop large-scale AI models and establish cutting-edge data centers.
The chips will be deployed in a 500-megawatt facility, making it one of the largest AI computing projects in the region. Nvidia’s Blackwell AI chips are among the most advanced in the industry, used in training sophisticated AI models and powering data-intensive applications.
Saudi Arabia’s investment in AI technology aligns with its long-term vision of transforming its economy beyond traditional industries. With plans to expand its data infrastructure and deploy several hundred thousand Nvidia GPUs in the future, the country is positioning itself as a major AI hub in the Middle East.
As AI continues to shape global industries, Saudi Arabia’s investment signals a broader shift in how nations are competing for dominance in the AI revolution.
Nvidia’s involvement underscores the strategic importance of AI chips, not just in business, but in international relations as well.
The stock market experienced another sharp Trump tariff related downturn Wednesday 16th April 2025, driven by a tech-heavy sell-off continuing to rattle investors.
The Nasdaq Composite plunged by 3%, while the Dow Jones Industrial Average shed nearly 700 points, marking one of the most significant declines in recent months.
Concerns over tariffs and inflation were amplified by Federal Reserve Chair Jerome Powell’s remarks about the tariff uncertainty, which highlighted the challenging economic landscape.
Tech stocks bore the brunt of the sell-off, with semiconductor companies like Nvidia and AMD leading the decline. Nvidia’s announcement of a $5.5 billion quarterly charge related to export restrictions on its chips to China added to the sector’s woes.
Powell’s comments on tariffs exacerbated market fears, as he warned of potential stagflation—a scenario where inflation rises while economic growth slows.
This sentiment was echoed across trading floors, with investors grappling with the implications of ongoing trade tensions and restrictive policies.
As the market inches closer to bear territory, the focus remains on navigating these turbulent times.
The sell-off underscores the fragility of investor confidence and the pivotal role of technology in shaping market dynamics
On Monday 14th April 2025, the stock market experienced a notable mini rally, driven by the tech sector’s resurgence following a weekend announcement of a temporary tariff pause.
Major tech companies like Apple, Nvidia, and Amazon saw significant gains, with Apple shares surging by 7.5%. The Nasdaq Composite, heavily weighted with tech stocks, climbed 1.9%, while the S&P 500 rose 1.5%.
This rally marked a stark contrast to the volatility of the previous week, where tariff uncertainties had sent shockwaves through the market.
The tariff pause, although temporary and restricted to 20%, helped to alleviate immediate concerns about rising costs for consumers and businesses.
Importers were spared from choosing between absorbing higher expenses or passing them on to customers. This relief was particularly impactful for companies reliant on Chinese manufacturing, as the exemptions covered a wide range of tech products.
Market analysts noted that the rally was not just a reaction to the tariff news but also a reflection of the tech sector’s resilience.
Despite facing challenges earlier in the year, tech companies have continued to innovate and adapt, maintaining their position as a driving force in the U.S. and world economies.
However, the rally’s sustainability remains uncertain. The administration’s mixed messages about future tariffs have left investors cautious.
While Monday’s gains were encouraging, the broader market continues to grapple with the unpredictability of trade policies.
The stock market was smashed for a second day Friday 4th April 2025 after China retaliated with new tariffs on U.S. goods, sparking fears President Donald Trump has ignited a global trade war that will lead to a global recession.
Stock market damage
The Dow Jones Industrial Average dropped 2,231.07 points, or 5.5%, to 38,314.86 on Friday 4th April 2025, the biggest decline since June 2020 during the Covid-19 pandemic.
This follows a 1,679-point decline on Thursday 3rd April 2025 and marks the first time ever that it has shed more than 1,500 points on consecutive days.
The S&P 500 collapsed 5.97% to 5,074.08, the biggest decline since March 2020. The benchmark shed 4.84% on Thursday 3rd April 2025 and is now down more than 17% off its recent high.
The Nasdaq Composite, home to many well-known tech companies that sell to China and manufacture there as well, dropped 5.8%, to 15,587.79.
This follows a nearly 6% drop on Thursday 3rd April 2025 and takes the index down by 22% from its December 2024 record – pushing it into a bear market.
The selling was wide ranging with only 14 members of the S&P 500 higher on the day. Major market indexes closed at their lows of the session.
China’s commerce ministry said the country will impose a 34% levy on all U.S. products, disappointing investors who had hoped countries would negotiate with Trump before retaliating.
Technology stocks led the massive rout Friday
Apple shares slumped 7%, bringing its loss for the week to 13%.
Nvidia dropped 7% during the session.
Tesla fell 10%.
All three companies have large exposure to China and are among the hardest hit from Beijing’s retaliatory tariffs.
The bull market is dead, and it was destroyed by self-inflicted wounds!
Stocks sold off sharply on Friday 28th March 2025, pressured by growing uncertainty on U.S. trade policy as well as a grim outlook on inflation
The Dow Jones Industrial Average closed down 715 points at 41,583. The S&P 500 lost 1.97% to close 5,580 ending the week down for the fifth time in the last six weeks. The Nasdaq Composite plunged 2.7% to 17,322.
Shares of several technology giants also fell putting pressure on the broader market. Google-parent Alphabet lost 4.9%, while Meta and Amazon each shed 4.3%.
This week, the S&P 500 lost 1.53%, while the 30-stock Dow shed 0.96%. The Nasdaq declined by 2.59%. With this latest losing week, Nasdaq is now on pace for a more than 8% monthly decline, which would be its worst monthly performance since December 2022.
Dow Jones one-day chart (28th March 2025)
Dow Jones one-day chart (28th March 2025)
Stocks took a leg lower on Friday after the University of Michigan’s final read on consumer sentiment for March 2025 reflected the highest long-term inflation expectation since 1993.
Friday’s core personal consumption expenditures price index also came in hotter-than-expected, rising 2.8% in February and reflecting a 0.4% increase for the month, stoking concerns about persistent inflation.
Economists had reportedly been looking for respective numbers of 2.7% and 0.3%. Consumer spending accelerated 0.4% for the month, below the 0.5% forecast, according to fresh data from the Bureau of Economic Analysis.
The market is getting squeezed by both sides. There is uncertainty about reciprocal tariffs hitting the major exporting sectors like tech alongside concerns about a weakening consumer facing higher prices
Trump’s tariffs push will hit the U.S. harder than Europe in the short term, it has been reported.
Japan’s Nikkei enters correction as Trump’s tariff assault drives sell-off in Asia markets
U.S. tech giants are making bold strides in the development of humanoid robots, signalling a transformative shift in the robotics industry
Companies like Tesla, Google, Microsoft, and Nvidia are investing heavily in this cutting-edge technology, aiming to create machines that mimic human movement and behaviour.
These humanoid robots are envisioned to revolutionise industries ranging from manufacturing to healthcare, offering solutions to labor shortages and enhancing productivity.
Tesla’s Optimus project is a prime example of this ambition. CEO Elon Musk has announced plans to produce thousands of these robots, designed to perform repetitive and physically demanding tasks.
Optimus robots are expected to integrate seamlessly into factory settings, reducing the need for human intervention in hazardous environments.
Similarly, Boston Dynamics, known for its agile robots, continues to push the boundaries of what humanoid machines can achieve, focusing on tasks that require precision and adaptability.
The integration of artificial intelligence (AI) is a driving force behind these advancements. AI enables robots to learn from their environments, adapt to new tasks, and interact with humans in more intuitive ways.
Companies like Nvidia are leveraging their expertise in AI and machine learning are helping to develop robots capable of complex decision-making and problem-solving.
However, challenges remain. High production costs, limited battery life, and safety concerns are significant hurdles that need to be addressed before humanoid robots can achieve widespread adoption.
Despite these obstacles, the potential benefits are immense. From assisting the elderly to performing intricate surgeries, humanoid robots could redefine the boundaries of human capability.
As U.S. tech giants continue to innovate, the race to dominate the humanoid robotics market intensifies.
Tesla Optimus Gen 2
With China and other nations also making significant investments, the competition is fierce. Analysts warn that U.S. firms could lose out to China, which aims to replicate its success with electric vehicles in the robotics space race.
The future of humanoid robots promises to be a fascinating blend of technology, creativity, and global collaboration
U.S. companies that may benefit from this AI humanoid tech advancement
Tesla: Known for its Optimus humanoid robot project, Tesla is pushing boundaries in robotics and AI.
Google (Alphabet): A leader in AI and robotics research, with projects aimed at enhancing humanoid capabilities.
Microsoft: Investing in AI technologies that support robotics and automation.
Nvidia: Provides advanced AI chips and systems crucial for humanoid robot development.
Boston Dynamics: Famous for its agile robots like Atlas, focusing on precision and adaptability.
Agility Robotics: Creator of Digit, a humanoid robot designed for logistics and manufacturing.
Meta (Facebook): Exploring humanoid robots for social and interactive applications.
Apple: Investing in robotics and AI for potential humanoid advancements.
Amazon: Developing robots like Astro for home monitoring and other tasks.
Figure AI: Innovating humanoid robots like Figure 02 for various industries.
Bill Gates on AI
Bill Gates has shared some fascinating insights about AI recently. He reportedly believes that within the next decade, AI will transform many industries, making specialised knowledge widely accessible.
For example, he predicts that AI could provide high-quality medical advice and tutoring, addressing global shortages of doctors and educators.
Gates has also described this shift as the ‘age of free intelligence,’ where AI becomes a commonplace tool integrated into everyday life. While he acknowledges the immense potential of AI to solve global challenges – like developing breakthrough treatments for diseases and innovative solutions for climate change – he also recognises the disruptive impact it could have on jobs and the workforce.
Despite these concerns, Gates remains optimistic about AI’s ability to drive innovation and improve lives.
He has emphasised that certain human activities, like playing sports or hosting talk shows, will likely remain uniquely human.
However, despite all these predictions from powerful tech leaders – it does beg the question, do these ultra rich CEOs predict the future, or simply make it?
What if Quantum Physics coincides and collides with the ‘full’ arrival of AI and humanoid robots
Quantum computing could enhance the capabilities of AI-powered robots by solving complex optimisation problems, improving machine learning algorithms, and enabling real-time decision-making.
For instance, robots equipped with quantum sensors could navigate intricate environments, detect subtle changes in their surroundings, and interact with humans in more intuitive ways.
This fusion could revolutionise industries such as healthcare, manufacturing, and space exploration. Imagine humanoid robots performing intricate surgeries with precision, managing large-scale logistics, or exploring distant planets with advanced problem-solving abilities.
However, this convergence also raises ethical and societal questions. The potential for such powerful technologies to disrupt industries, impact employment, and challenge privacy norms must be carefully managed.
Collaboration between scientists, policymakers, and ethicists will be crucial to ensure these advancements benefit humanity as a whole.
The intersection of quantum physics, AI, and humanoid robotics is not just a technological milestone – it’s a glimpse into a future where the boundaries of human capability and machine intelligence blur.
It’s an exciting, albeit complex future humans are creating.
But will AI surpass human intelligence – and if it does what then for the human civilisation?
Chinese tech giant Baidu has released two new free-to-use artificial intelligence models as it vies to regain its leading position in the country’s fiercely competitive AI space
The Baidu models launched on Sunday 16th March 2025 included the company’s first reasoning-focused model and come ahead of plans to move towards an open-source strategy.
However, analysts reportedly said that while the release of the models is a positive development for Baidu, they also highlight how it is playing catch up as its Ernie bot – one of China’s earliest versions of a ChatGPT-like chatbot – struggles to gain widespread adoption.
‘The new models make Baidu more competitive since the company has been lagging behind in a reasoning model release’, one expert is reported as saying.
A reasoning model is a large language model that breaks down tasks into smaller pieces and considers multiple approaches before generating a response. It is designed to process complex problems in a similar way to humans.
Chinese startup DeepSeek upended the global AI race and transformed China’s ecosystem in January when it released its R1 reasoning model, which rivalled American competitors despite costing a fraction of the price.
