Investopia Archives - Taking Stock

September 22, 2025September 22, 2025

What is the deal with the new Huawei AI power chip cluster touted by China?

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.

The AI power race just got even hotter!

September 15, 2025September 15, 2025

Are we looking at an AI house of cards? Bubble worries emerge after Oracle blowout figures

There’s growing concern that parts of the AI boom—especially the infrastructure and monetisation frenzy—might be built on shaky foundations.

The term ‘AI house of cards’ is being used to describe deals like Oracle’s multiyear agreement with OpenAI, which has committed to buying $300 billion in computing power over five years starting in 2027.

That’s on top of OpenAI’s existing $100 billion in commitments, despite having only about $12 billion in annual recurring revenue. Analysts are questioning whether the math adds up, and whether Oracle’s backlog—up 359% year-over-year—is too dependent on a single customer.

Oracle’s stock surged 36%, then dropped 5% Friday as investors took profits and reassessed the risks.

Some analysts remain neutral, citing murky contract details and the possibility that OpenAI’s nonprofit status could limit its ability to absorb the $40 billion it raised earlier this year.

The broader picture? AI infrastructure spending is ballooning into the trillions, echoing the dot-com era’s early adoption frenzy. If demand doesn’t materialise fast enough, we could see a correction.

But others argue this is just the messy middle of a long-term transformation—where data centres become the new utilities

The AI infrastructure boom—especially the Oracle–OpenAI deal—is raising eyebrows because the financial and operational foundations look more speculative than solid.

Here’s why some analysts are calling it a potential house of cards

⚠️ 1. Mismatch Between Revenue and Commitments

OpenAI’s annual revenue is reportedly around $10–12 billion, but it’s committed to $300 billion in cloud spending with Oracle over five years.
That’s $60 billion per year, meaning OpenAI would need to grow revenue 5–6x just to break even on compute costs.
CEO Sam Altman projects $44 billion in losses before profitability in 2029.

🔌 2. Massive Energy Demands

The infrastructure needed to fulfill this contract requires electricity equivalent to two Hoover Dams.
That’s not just expensive—it’s logistically daunting. Data centres are planned across five U.S. states, but power sourcing and environmental impact remain unclear.

💸 3. Oracle’s Risk Exposure

Oracle’s debt-to-equity ratio is already 10x higher than Microsoft’s, and it may need to borrow more to meet OpenAI’s demands.
The deal accounts for most of Oracle’s $317 billion backlog, tying its future growth to a single customer.

🔄 4. Shifting Alliances and Uncertain Lock-In

OpenAI recently ended its exclusive cloud deal with Microsoft, freeing it to sign with Oracle—but also introducing risk if future models are restricted by AGI clauses.
Microsoft is now integrating Anthropic’s Claude into Office 365, signalling a diversification away from OpenAI.

🧮 5. Speculative Scaling Assumptions

The entire bet hinges on continued global adoption of OpenAI’s tech and exponential demand for inference at scale.
If adoption plateaus or competitors leapfrog, the infrastructure could become overbuilt—echoing the dot-com frenzy of the early 2000s.

Is this a moment for the AI frenzy to take a breather?

September 15, 2025September 15, 2025

Nasdaq finishes at record high on Friday 12th September 2025?

On Friday 12th September 2025, the Nasdaq closed at a record high, while the S&P 500 ended the week with gains but did not finish at a new record level.

Nasdaq Composite: Rose 0.45% to 22,141.10 — a new all-time high.
S&P 500: Dipped slightly by 0.05% to 6,584.29 — still near historic levels, but not a record close.

The broader mood was one of cautious optimism, with investors eyeing the upcoming Federal Reserve decision.

Bulls are riding high, but some analysts are starting to wonder if exuberance is getting ahead of fundamentals

September 11, 2025September 12, 2025

Databases to Dominance: Oracle’s AI Boom and Ellison’s Billionaire Ascent

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.

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

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.

September 10, 2025September 12, 2025

U.S. indices hit fresh record closing highs 9th September 2025

S&P 500 rose 0.3% to finish at 6,512.61, surpassing its previous record from last week.

Dow Jones Industrial Average climbed 0.4% to 45,711.34, beating its August 28 high.

Nasdaq Composite added 0.4%, closing at 21,879.49, marking its second consecutive record high.

The rally was fueled by strong performances in tech—especially chipmakers and AI infrastructure players like Nvidia and Oracle—and growing expectations of a Federal Reserve rate cut.

September 9, 2025September 12, 2025

Negative news is not affecting the market as the Nasdaq hits a 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

Indicator	Value / Change	Interpretation
Nasdaq Composite	📈 21,798.70 (Record High)	Tech led rally, investor optimism
S&P 500	➕ 6,495.15	Broad market strength
Dow Jones	➕ 45,514.95	Industrial resilience
August Jobs Report	📉 Missed expectations	Labour market weakness
Job Growth (June & Aug)	📉 Negative	Economic slowdown
Investor Reaction	🟢 Rate cuts expected	Bullish for equities
AI Layoff Narrative	🤖 ‘Efficiency gains’	Tech streamlining
Featured Stocks	Broadcom +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.

September 8, 2025September 12, 2025

Japan’s yield curve bites back as it hits new highs!

After decades of economic sedation, Japan’s long-term bond yields are rising with a vengeance.

The 30-year government bond has breached 3.286%—its highest level on record—while the 20-year yield has climbed to 2.695%, a peak not seen since 1999.

These aren’t just numbers; they’re seismic signals of a nation confronting its delayed past, now its deferred future.

For years, Japan’s yield curve was a monument to inertia. Negative interest rates, yield curve control, and relentless bond-buying by the Bank of Japan created an artificial calm—a kind of economic Zen garden, raked smooth but eerily still.

That era is ending. Inflation has persisted above target for three years, and the BOJ’s retreat from monetary intervention has unleashed market forces long held at bay.

This steepening curve is more than financial recalibration—it’s a symbolic reckoning. Rising yields demand accountability: from policymakers who masked structural fragility, from investors who chased safety in stagnation, and from a society that postponed hard choices on demographics, debt, and productivity.

The bond market, once a passive witness, now acts as judge. Each basis point is a moral verdict on Japan’s economic past.

The shadows of the Lost Decades—deflation, aging populations, and overspending—are being dispelled not by command, but through the process of price discovery.

In this new era, Japan’s yield curve resembles a serpent uncoiling—no longer dormant but rising with intent.

The question isn’t whether the curve will flatten again, but whether Japan can meet the moment it has long delayed.

September 5, 2025September 12, 2025

The staying power of gold!

Gold’s recent surge—hitting over $3,550 per ounce (4th September 2025)—isn’t just a speculative blip.

It’s a convergence of deep structural shifts and short-term catalysts that are reshaping how investors, central banks, and governments think about value and stability.

Here’s why

🧭 Strategic Drivers (Long-Term Forces)

Central Bank Buying: Nearly half of surveyed central banks reportedly plan to increase gold reserves through 2025, citing inflation hedging, crisis resilience, and reduced reliance on the U.S. dollar.

Dollar Diversification: After Western sanctions froze Russia’s reserves in 2022, many countries began reassessing their exposure to dollar-denominated assets.

Fiscal Expansion & Debt Concerns: With U.S. debt surpassing $37 trillion and new legislation adding trillions more, gold is seen as a hedge against long-term dollar instability.

⚡ Tactical Catalysts (Short-Term Triggers)

Geopolitical Tensions: Ongoing wars, trade disputes, and questions around Federal Reserve independence have heightened uncertainty, boosting gold’s ‘fear hedge’ appeal.

Interest Rate Expectations: The Fed has held rates steady, but markets anticipate cuts. Lower yields make non-interest-bearing assets like gold more attractive.

Weakening U.S. Dollar: The dollar’s decline against the euro and yen has made gold cheaper for foreign buyers, increasing global demand.

ETF Inflows & Retail Demand: Physically backed gold ETFs saw their largest first-half inflows since 2020, while bar demand rose 10% in 2024.

Gold futures price one-year chart (December 2025 Gold)

🧮 Symbolic Undercurrent

Gold isn’t just a commodity—it’s a referendum on trust. When institutions wobble and currencies lose their shine, gold becomes the narrative anchor: a timeless, tangible vote of no confidence in the system.

Summary

🛡️ Safe Haven: Retains value during crisis.

📈 Inflation Hedge: Preserves purchasing power.

🧩 Portfolio Diversifier: Low correlation with other assets.

✋ Tangible Asset: Physical, unlike stocks or bonds.

September 4, 2025September 12, 2025

China’s EV Price War: BYD falters as the Chinese EV machine reshapes the global car market

China’s electric vehicle (EV) powerhouse is rewriting the global automotive playbook—but not without homegrown company damage.

BYD, now the world’s largest EV manufacturer by volume, has been caught in the crossfire of a domestic price war.

Damaging price war

The price war is damaging margins. It is unnerving investors and revealing the perils of hyper-competition in the world’s most aggressive car market.

In Q2 2025, BYD posted a 30% drop in net profit to 6.4 billion yuan (£700 million), its first earnings decline in over three years.

Despite a 145% surge in overseas sales, the company’s sweeping discounts across 22 models have eroded profitability at home.

Gross margins slipped to around 16%, and its Hong Kong-listed shares tumbled 8% to a five-month low.

Analysts reportedly now question whether BYD can hit its ambitious 5.5-million-unit sales target, having reached only 45% by July 2025.

The price war, ignited by BYD’s aggressive cuts in May 2025, has forced rivals like Geely, Chery, and SAIC-GM to follow suit. Entry-level EVs now start below (£6,500), with features like driver assistance and smart infotainment once reserved for premium models.

But the race to the bottom has drawn concern from regulators and industry leaders. The China Association of Automobile Manufacturers (CAAM) warned of “disorderly competition”, while executives fear quality compromises and supplier strain.

Yet even as BYD stumbles, the broader Chinese EV machine is gaining global momentum. In Europe, BYD overtook Tesla in July sales, capturing 1.1% market share versus Tesla’s 0.7%.

Chinese EV car brands account for around 10% of new UK car sales

Chinese brands now account for around 10% of new car sales in the UK. There are over 30 affordable EV models priced under £30,000.

Their edge lies in battery supply chains, manufacturing efficiency, and software integration. Transforming cars into ‘smartphones on wheels’ tailored to digitally connected consumers.

China’s EV revolution is no longer just a domestic shake-up—it’s a global reordering. Legacy automakers are retreating from the budget segment. But Chinese firms flooding international markets with sleek, connected, and competitively priced vehicles.

BYD’s profit dip may be a temporary wobble. The long-term trajectory is clear: China isn’t just building cars—it’s building the future of mobility.

For global rivals, the message is unmistakable: adapt, or be outpaced by the dragon’s electric roar.

Infographic: China’s BYD and other EVs

Summary

BYD’s Q2 2025 net profit drop of 30% to 6.4 billion yuan: This figure aligns with recent earnings reports and analyst commentary. The drop is consistent with margin pressure from domestic price cuts.

Gross margin falling to 16.3%: Matches industry estimates for BYD’s automotive segment, which has seen compression due to aggressive discounting.

Overseas sales up 145% YoY: BYD’s international expansion—especially in Europe, Southeast Asia, and Latin America—has been rapid. This growth rate is plausible and supported by export data.

BYD reaching only 45% of its 5.5 million unit sales target by July: This tracks with cumulative delivery figures through mid-year, suggesting a potential shortfall unless H2 volumes accelerate.

Price war triggered by BYD’s cuts across 22 models in May: Confirmed by industry reports and BYD’s own promotional campaigns. Other automakers like Geely and Chery have responded with similar discounts.

CAAM warning of “disorderly competition”: This quote has appeared in official statements and media coverage, reflecting regulatory concern over unsustainable pricing.

Chinese EVs gaining market share in Europe and UK: BYD overtaking Tesla in July 2025 sales in Europe is supported by registration data. Chinese brands now account for ~10% of UK new car sales, with many models priced under £30,000.

August 29, 2025September 12, 2025

Nvidia’s two undisclosed major customers reportedly accounted for 39% of the company’s Q2 revenue

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.

August 29, 2025September 12, 2025

Another new high for the S&P 500 as Wall Street keeps on giving

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.

August 28, 2025September 12, 2025

AI In, Jobs Out: The Great Hiring Slowdown

Has BIG tech and AI stopped hiring? Not quite, though the hiring landscape has definitely shifted gears. Here’s the current take…

🧠 AI Hiring: Still Hot, Just More Focused

Private AI firms like OpenAI, Anthropic, and Perplexity are still hiring aggressively, especially for Machine Learning Engineers and Enterprise Sales roles. These two categories alone account for thousands of openings.
Even legacy tech giants like Salesforce are scaling up AI-focused sales teams—Marc Benioff announced 2,000 new hires just to sell AI solutions.
The demand for ML Engineers has splintered into niche specializations like LLM fine-tuning, inference optimisation, and RAG infrastructure, showing how deep the rabbit hole goes.

🖥️ Big Tech: Cooling, Not Collapsing

Across the U.S., software engineering roles dropped from 170,000 in March to under 150,000 by July.
AI job postings fell from 80,000 in February to just over 50,000 in June, though July showed a slight rebound.
Despite the slowdown, AI still makes up 11–15% of all software roles, suggesting it’s a strategic priority even as overall hiring cools.

🌍 Beyond Silicon Valley

States like South Dakota and Connecticut are seeing surprising growth in AI job postings—South Dakota reportedly jumped 164% last month.
The hiring boom is expanding into non-traditional industries, not just Big Tech. Think biotech, retail, and even energy sectors integrating AI.

So while the hiring frenzy of 2023 has mellowed, AI talent remains a hot commodity—just more targeted and strategic.

The general reporting across August 2025 paints a clear picture of slower, more cautious hiring, especially in tech and AI-adjacent roles.

🧊 Hiring Has Cooled—Especially for AI-Exposed Roles

In the UK, tech and finance job listings fell 38%, nearly double the broader market decline.
Entry-level roles and those involving repetitive tasks (like document review or meeting summarisation) are increasingly at risk of automation.
Even in sectors with strong business performance, such as IT and professional services, job opportunities have continued to shrink.

🧠 AI’s Paradox: High Usage, Low Maturity

McKinsey reportedly says that while 80% of large firms use AI, only 1% say their efforts are mature, and just 20% report enterprise-level earnings impact.
Most AI deployments are still horizontal (chatbots, copilots), while vertical use cases (full process automation) remain stuck in pilot mode.

Infographic of AI effect on jobs and hiring

📉 Broader Market Signals

Job adverts have dropped most for occupations most exposed to AI, especially among young graduates.
Despite a slight uptick in hiring intentions in June and July, the overall labour market shows a marked cooling.

So yes, the general tone is one of strategic hesitation—companies are integrating AI but not rushing to hire unless the role is future-proofed.

AI In, Jobs Out: The Great Hiring Slowdown

It’s official: the AI revolution has arrived—but the job listings didn’t get the memo.

Across the UK and U.S., tech hiring has slowed to a cautious crawl. Once-bustling boards now resemble digital ghost towns, especially for roles most exposed to automation.

Software engineering vacancies dropped by over 20% in just four months, while AI-related postings—once the darlings of 2023—have cooled from 80,000 to barely 50,000.

The irony? AI adoption is booming. Over 80% of large firms now deploy some form of artificial intelligence, from chatbots to copilots.

Yet only 1% claim their efforts are ‘mature’, and fewer still report meaningful earnings impact. It’s a paradox: widespread usage, minimal payoff, and a hiring freeze to match.

Even in sectors with strong performance—IT, finance, professional services—the job market is shrinking. Graduates face a particularly frosty reception, as entry-level roles vanish into the algorithmic ether.

Meanwhile, AI firms themselves are hiring with surgical precision: machine learning engineers and enterprise sales reps remain in demand, but the days of blanket recruitment are over.

Geographically, the hiring map is shifting too. South Dakota saw a 164% spike in AI job postings last month, while London and San Francisco quietly tightened their belts.

So, AI isn’t killing jobs—it’s reshaping them. The new roles demand fluency in automation, compliance, and creative problem-solving.

The rest? They’re being quietly retired.

For now, the job market belongs to the adaptable, the analytical, and the algorithmically literate.

Everyone else may need to reboot, eventually, but not quite just yet.

August 28, 2025September 12, 2025

S&P 500 hits new record high — fueled by continued AI optimism and Nvidia anticipation: are we in AI bubble territory?

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.

Are we now in an AI bubble?

Nvidia forward guidance is one of ‘slowing’.

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.

August 22, 2025September 12, 2025

News agent makes the news – WH Smith’s fresh start derails in a fog of accounting mistakes

WH Smith’s attempt to reinvent itself as a sleek, travel-focused retailer has hit turbulence, with a £30 million profit overstatement in its North American division sending shares into a 42% nosedive.

The error, stemming from premature recognition of supplier income, has triggered a full audit review and left investors ‘sobbing into their cornflakes’, as one analyst reportedly put it. Not nice!

The timing couldn’t be worse. Having sold off its UK High Street arm earlier this year, WH Smith was banking on its overseas operations to deliver growth.

Instead, the company now expects just £25 million in North American trading profit—less than half its original forecast.

The reputational damage is compounded by the fact that supplier income, often tied to promotional deals, is notoriously tricky to account for.

WH Smith’s misstep suggests not just a lapse in judgement, but a systemic failure in financial controls.

Table of events

Metric	Details
📊 Profit Overstatement	£30 million
🧾 Cause of Error	Premature recognition of supplier income
🇺🇸 Affected Division	North America
📉 Share Price Impact	42% drop
📉 Revised Profit Forecast	£25 million (down from £54 million)
🕵️‍♂️ Audit Response	Full review initiated by Deloitte
🏪 Strategic Context	WH Smith sold UK High Street arm earlier in 2025
📦 Supplier Income Risk	Often tied to promotional deals; hard to track

This isn’t merely a spreadsheet error—it’s a strategic setback. The retailer’s pivot to travel hubs was meant to offer high-margin stability, buoyed by a captive audience.

But the accounting blunder casts doubt on the robustness of its operational oversight, especially in a market as competitive as the U.S.

With Deloitte now combing through the books, W H Smith faces a long road to restore investor confidence.

For a brand that once prided itself on reliability, this episode is a reminder that even legacy names can falter when ambition outpaces accountability.

W H Smith share price (one-month chart) 21st August 2025

Let’s hope the next chapter isn’t written in red ink.

August 22, 2025September 12, 2025

U.S. zombie companies on the rise!

As BIG tech poaches top AI talent, these companies are stripped to the bone as the tech talent is being hollowed out!

In the race to dominate artificial intelligence, America’s tech giants are vacuuming up talent at an unprecedented pace.

But behind the headlines of billion-dollar acquisitions and flashy AI demos lies a quieter crisis. The creation of ‘zombie companies’ — startups left staggering and soulless after their brightest minds are poached by Big Tech.

These zombie firms aren’t dead, but they’re no longer truly alive either. They continue to operate, maintain websites, and pitch to investors, yet their core innovation engine has stalled. The problem isn’t just brain drain — it’s brain decapitation.

When a startup loses its founding engineers, lead researchers, or visionary product designers to the likes of Google, Meta, or Microsoft, what remains is often a shell with no clear path forward.

The allure is understandable. Big Tech offers salaries that dwarf startup equity, access to massive compute resources, and the prestige of working on frontier models. But the downstream effect is corrosive.

Startups, once the lifeblood of AI experimentation, are now struggling to retain talent long enough to reach product maturity. Some pivot to consultancy, others limp along with outsourced development, and many quietly fold — their IP absorbed, their vision diluted.

This phenomenon is particularly acute in the U.S., where venture capital encourages rapid scaling but rarely protects against talent attrition. The result is a growing class of companies that exist more for optics than output — kept alive by inertia, legacy funding, or the hope of acquisition.

They clutter the innovation landscape, making it harder for truly disruptive ideas to gain traction.

Ironically, Big Tech’s hunger for talent may be undermining the very ecosystem it depends on. By stripping startups of their creative lifeblood, it risks turning the AI sector into a monoculture. This culture is then dominated by a few players, with fewer voices and less diversity of thought.

The solution isn’t simple. It may require new funding models, stronger incentives for retention, or even regulatory scrutiny of talent acquisition practices.

But one thing is clear: if the U.S. wants to remain the global leader in AI, it must find a way to nurture its startups — not just harvest them.

Otherwise, the future of innovation may be haunted by the walking dead.

August 21, 2025September 12, 2025

The bubble that thinks: Sam Altman’s AI paradox

Sam Altman, CEO of OpenAI, has never been shy about bold predictions. But his latest remarks strike a curious chord reportedly saying: ‘Yes, we’re in an AI bubble’.

‘And yes, AI is the most important thing to happen in a very long time’. It’s a paradox that feels almost ‘Altmanesque’—equal parts caution and conviction, like a person warning of a storm while building a lighthouse.

Altman’s reported bubble talk isn’t just market-speak. It’s a philosophical hedge against the frothy exuberance that’s gripped Silicon Valley and Wall Street alike.

With AI valuations soaring past dot-com levels, and retail investors piling into AI-branded crypto tokens and meme stocks, the signs of speculative mania are hard to ignore.

Even ChatGPT, OpenAI’s flagship product, boasts 1.5 billion monthly users—but fewer than 1% pay for it. That’s not a business model—it’s a popularity contest.

Yet Altman isn’t calling for a crash. He’s calling for clarity. His point is that bubbles form around kernels of truth—and AI’s kernel is enormous.

From autonomous agents to enterprise integration in law, medicine, and finance, the technology is reshaping workflows faster than regulators can blink.

Microsoft and Nvidia are pouring billions into infrastructure, not because they’re chasing hype, but because they see utility. Real utility.

Still, Altman’s warning is timely. The AI gold rush has spawned a legion of startups with dazzling demos and dismal revenue. This is likely the Dotcom ‘Esque’ reality – many will fail.

Many are burning cash at unsustainable rates, betting on future breakthroughs that may never materialise. Investors, Altman suggests, need to recalibrate—not abandon ship, but stop treating every chatbot as the next Google.

What makes Altman’s stance compelling is its duality. He’s not a doomsayer, nor a blind optimist. He’s a realist who understands that transformative tech often arrives wrapped in irrational exuberance. The internet had its crash before it changed the world. AI may follow suit.

So, is this a bubble? Yes. But it’s a bubble with brains. And if Altman’s lighthouse holds, it might just guide us through the fog—not to safety, but to something truly revolutionary.

In the meantime, investors would do well to remember hype inflates, but only utility sustains.

And Altman, ever the ‘paradoxical prophet’, seems to be betting on both.

August 21, 2025September 12, 2025

FTSE 100 hits new record high!

On 20 August 2025, the FTSE 100 hit a new all-time intraday high of 9,301.19, surpassing its previous records.

It closed the day at 9,288.14, up 1.1%—a strong finish despite hotter-than-expected UK inflation and a tech sell-off dragging down Wall Street.

The rally was driven by gains in heavyweight stocks like AstraZeneca, HSBC, Unilever, BAT, RELX, and Lloyds, plus a standout 5.6% surge from ConvaTec Group following its $300 million buyback announcement

FTSE 100 hits new all-time record on 20th August 2025

Futures witnessed the FTSE 100 touch 9016.

August 19, 2025September 12, 2025

Has AI peaked – is it in a bubble?

The short answer is no! AI hasn’t peaked in terms of potential—but the market frenzy around it may well be in bubble territory.

🚀 Signs of a Bubble?

Valuations vs. Earnings: The top 10 companies in the S&P 500—heavily weighted toward AI giants like Nvidia, Microsoft, and Apple—are more overvalued today than during the dot-com boom.
Retail Frenzy: Retail investors are piling into AI stocks, often driven by hype rather than fundamentals. Meme stocks and AI-branded crypto tokens are surging again.
Low Conversion Rates: Despite massive user numbers, paid adoption is weak. OpenAI’s ChatGPT has 1.5 billion monthly users, but only 0.96% pay for it. That’s a poor monetisation ratio compared to services like Gmail. However, commercial uptake is far higher.
Unsustainable Business Models: Many AI startups operate at huge losses, relying on speculative funding rather than sustainable revenue.

🧠 But Has AI Peaked Technologically?

No-way – not even close.

Agentic AI: Models like GLM-4.5 from China and Anthropic’s Claude are pushing toward autonomous task decomposition—meaning smarter, more efficient systems.
Enterprise Integration: AI is transforming workflows in law, medicine, and finance. Companies like RELX are embedding AI into decision-making tools with real-world impact.
Hardware & Infrastructure: Microsoft and Nvidia are investing billions in AI infrastructure, suggesting long-term belief in its utility—not just hype.

What Comes Next?

Rebalancing: Like the dot-com crash, we may see a correction. Overhyped firms could fall, while those with real utility and revenue survive and thrive.
Regulatory Pressure: Governments are starting to scrutinise AI’s economic and ethical impact. That could reshape the landscape.
Investor Reality Check: As soon as investors stop chasing hype and start demanding profitability, the bubble may deflate.

Less than 1% of users currently pay for ChatGPT (is this a failure to monetise or massive future potential to unfold)?

Remember how long it took Google to monetise its search engine in the beginning? Think – MySpace, Yahoo, AOL and others?

As of mid-2025, OpenAI ChatGPT has around 1.5 billion monthly users, but only a tiny fraction pay for premium plans like ChatGPT Plus ($20/month) or Pro ($200/month).

While OpenAI hasn’t published exact conversion rates, multiple industry analysts estimate that fewer than 1% of users are paying subscribers, based on app store revenue data and internal usage leaks.

This low monetisation rate is striking when compared to other freemium models:

Gmail and Spotify convert ~5–10% of users to paid tiers
Even niche productivity apps often hit 2–3%

Indication of pay per use and free conversion rates

Platform	Conversion Rate
ChatGPT	0.9%
Gmail	7.5%
Spotify	7.5%
Niche Productivity Apps	2.5%

Platform	Conversion Rate
Spotify	7.5%
YouTube Music	4.2%
Apple Music	6.8%
Deezer	3.9%
Amazon Music	5.1%

So, despite massive reach, ChatGPT’s revenue per user is still very low. That’s one reason why some analysts argue the AI market is in a bubble: huge valuations, but weak direct monetisation.

August 18, 2025September 12, 2025

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

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.

⚖️ 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…

August 14, 2025September 12, 2025

Meta’s AI power play: can it outmanoeuvre Apple and Google in the device race?

Meta is making a serious play to become the dominant force in AI-powered consumer devices, and it’s not just hype—it’s backed by aggressive strategy, talent acquisition, and a unique distribution advantage.

🧠 Meta’s Strategic Edge in AI Devices

1. Massive User Base

Meta has direct access to 3.48 billion daily active users across Facebook, Instagram, WhatsApp, and Messenger.
This gives it an unparalleled distribution channel for deploying AI features instantly across billions of devices.

2. Platform-Agnostic Approach

Unlike Apple and Google, which tightly integrate AI into their operating systems, Meta is bypassing OS gatekeepers by embedding AI into apps and wearables.
It’s partnering with chipmakers like Qualcomm and MediaTek to optimize AI performance on mobile hardware.

3. Talent Acquisition Blitz

Meta poached Ruoming Pang, Apple’s head of AI models, and Alexandr Wang, co-founder of ScaleAI, to lead its Superintelligence group.
This group aims to build AI that’s smarter than humans—an ambitious goal that’s drawing top-tier talent from rivals.

4. Proprietary Data Advantage

Meta’s access to real-time, personal communication and social media data is considered one of the most valuable datasets for training consumer-facing AI.
This gives it a leg up in personalization and contextual understanding.

🍏 Apple and Google: Still Strong, But Vulnerable

Apple

Struggled with its in-house AI models, reportedly considering outsourcing to OpenAI or Anthropic for Siri upgrades.
Losing this battle could signal deeper issues in Apple’s AI roadmap.

Google

Has robust AI infrastructure and Gemini models, but faces competition from Meta’s nimble, app-based deployment strategy.

🔮 Could Meta Win?

Meta’s approach is disruptive: it’s not trying to own the OS—it’s trying to own the AI interface. If it continues to scale its AI across apps, smart glasses (like Ray-Ban Meta), and future AR devices, it could redefine how users interact with AI daily.

That said, Apple and Google still control the hardware and OS ecosystems, which gives them deep integration advantages. Meta’s success will depend on whether users prefer AI embedded in apps and wearables over OS-level assistants.

1. AI Device Leadership Comparison

Company	AI Strategy	Distribution	Hardware Integration
Meta	App-first, wearable AI	3.48B users	Limited (Ray-Ban)
Apple	OS-integrated Siri	iOS ecosystem	Full control
Google	Gemini in Android	Android ecosystem	Full control

2. Timeline: Meta’s AI Milestones

2023: Launch of Ray-Ban Meta glasses
2024: Formation of Superintelligence team
2025: AI embedded across Meta apps

Remember, Meta has direct access to nearly 3.50 billion users on a daily basis across Facebook, Instagram, WhatsApp, and Messenger.

Bit of a worry, isn’t it?

But good for investors and traders.

August 13, 2025September 12, 2025

Global stocks indices flying high as new records broken – 12th August 2025

New records for global indices led by U.S. tech

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

🧠 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.

August 7, 2025September 12, 2025

Technical Signals: Cracks beneath the surface – are U.S. stocks beginning to stumble?

There are increasingly credible signs that U.S. stocks may be heading into a deeper adjustment phase.

Here’s a breakdown of the key indicators and risks that suggest the current stumble could be more than a seasonal wobble. It’s just a hypothesis, but…

S&P 500 clinging to its 200-day moving average: While the long-term trend remains intact, short-term averages (5-day and 20-day) have turned negative.
Volatility Index (VIX) rising: A 7.61% surge in the 20-day average VIX suggests growing unease, even as prices remain elevated.
Diverging ADX readings: The S&P 500’s ADX (trend strength) is weak at 7.57, while the VIX’s ADX is strong at 45.37—classic signs of instability brewing.

🧠 Sentiment & Positioning: Optimism with Defensive Undercurrents

Investor sentiment is bullish (40.3%), but rising put/call ratios and a complacent Fear & Greed Index hint at hidden caution.
Historical parallels: Similar sentiment setups preceded corrections in 2021 and 2009. We’re not at extremes yet, but the complacency is notable.

🌍 Macroeconomic Risks: Tariffs, Fed Policy, and Structural Headwinds

Tariff escalation: Trump’s recent executive order raised effective tariffs to 15–20%, with new duties on rare earths and tech-critical imports.
Labour market weakening: July’s jobs report showed just 73,000 new jobs, with massive downward revisions to prior months. Unemployment ticked up to 4.2%.
Fed indecision: The central bank is split, with no clear path on rate cuts. This uncertainty is amplifying volatility.
Structural drag: Reduced immigration and R&D funding are eroding long-term growth potential.
🛡️ Strategic Implications: How Investors Are Hedging
Defensive sectors like utilities, healthcare, and gold are gaining traction.
VIX futures and Treasury bonds are being used to hedge against volatility.
Emerging markets with trade deals (e.g., Vietnam, Japan) may outperform amid global realignment.
🗓️ Seasonal Weakness: August and September Historically Slump
August is the worst month for the Dow since 1988, and the second worst for the S&P 500 and Nasdaq.
Wolfe Research reportedly notes average declines of 0.3% (August) and 0.7% (September) since 1990.
Sahm Rule: Recession indicator.

Now what?

While the broader market still shows resilience—especially in mega-cap tech—the underlying signals point to fragility.

Elevated valuations, weakening macro data, and geopolitical uncertainty are converging. A deeper correction isn’t guaranteed, but the setup is increasingly asymmetric: limited upside, growing downside risk.

August 7, 2025September 12, 2025

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

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.

August 6, 2025September 12, 2025

TSMC’s alleged trade secret breach

Taiwan Semiconductor Manufacturing Co. (TSMC), the world’s largest contract chipmaker, on 5th August 2025 has reportedly uncovered a serious internal breach involving its 2-nanometer chip technology, one of the most advanced processes in the semiconductor industry.

🔍 What Happened

TSMC detected unauthorised activities during routine monitoring, which led to the discovery of potential trade secret leaks.
Several former employees are suspected of attempting to access and extract proprietary data related to the 2nm chip development and production.
The company has reportedly taken strict disciplinary action, including terminations, and has initiated legal proceedings under Taiwan’s National Security Act, which protects core technologies from unauthorized use.

🧠 Why It Matters

The alleged leak doesn’t just constitute corporate espionage—it has strategic implications. Taiwan’s National Security Act categorises such breaches under core tech theft, permitting aggressive legal action and severe penalties.

With chip supremacy increasingly viewed as a geopolitical asset, this saga is more than just workplace misconduct—it’s a digital arms race.

The 2nm process is a breakthrough in chip design, offering:
- 35% lower power consumption
- 15% higher transistor density compared to 3nm chips
These chips are crucial for AI accelerators, high-performance computing, and next-gen smartphones—markets expected to dominate sub-2nm demand by 2030.
A leak of this magnitude could allow competitors to replicate or leapfrog TSMC’s proprietary methods, threatening its technological edge and market dominance.
Moreover, company design secrets are potentially at stake, and this would seriously damage these businesses as their hard work in R&D is stolen.

⚖️ Legal & Strategic Response

TSMC has reaffirmed its zero-tolerance IP policy, stating it will pursue violations to the fullest extent of the law.
The case is now under legal investigation.

While TSMC’s official line is firm—’zero tolerance for IP breaches’—investors are jittery.

The company’s shares dipped slightly amid concerns about reputational damage and longer-term supply chain vulnerabilities.

Analysts expect limited short-term impact on production timelines, but scrutiny over internal controls may rise.

August 5, 2025September 12, 2025

China’s new AI model GLM-4.5 threatens DeepSeek – will it also threaten OpenAI?

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.

But it has some way yet to go.

August 4, 2025September 12, 2025

Echoes of Dot-Com? Is AI tech leading us into another crash?

Wall Street is soaring on artificial intelligence optimism—but underneath the record-breaking highs lies a growing sense of déjà vu.

From stretched valuations and speculative fervour to market concentration reminiscent of the dot-com era, financial analysts and institutional veterans are asking: are we already inside a tech bubble?

Valuations Defying Gravity

At the heart of the rally are the so-called ‘Magnificent Seven’—mega-cap tech firms like Nvidia, Microsoft, Apple and Alphabet—whose forward price-to-earnings ratios have now surpassed even the frothiest moments of the 1999–2001 bubble.

Apollo Global strategist Torsten Slok has reportedly warned that current AI-driven valuations are more ‘stretched’ than ever, citing metrics that exceed dot-com records in both scale and speed.

Nvidia and Microsoft now sit atop the S&P 500 with a combined market cap north of $8 trillion. Yet much of this valuation is being driven by expected future profits—not current ones.

Bulls argue the fundamentals are stronger this time, but even they admit this rally is fragile and increasingly top-heavy.

A Narrow Rally, Broad Exposure

While the S&P 500 has reached historic highs, the gains are increasingly concentrated among just 10 companies—accounting for nearly 40% of the index’s value.

The remaining 490 firms are moving sideways, or not at all. Bank of America’s Michael Hartnett calls it the ‘biggest retail-led rally in history’, pointing to looser trading rules and margin exposure pulling everyday investors into risky tech plays.

In policy circles, reforms allowing private equity in retirement accounts and easing restrictions on day trading are amplifying volatility.

The Trump administration’s push to deregulate retail trading could worsen systemic fragility if investor sentiment turns.

Signs of Speculation

Meme stocks and penny shares are surging again. Cryptocurrency-adjacent firms are issuing AI-branded tokens.

Goldman Sachs indicators show speculative trading activity at levels only previously seen in 2000 and 2021. Yet merger activity remains robust, and consumer spending is strong—two counterweights that bulls cite as proof the rally may be sustained.

The Core Debate: Hype vs. Reality

Is AI the new internet—or just another tech bubble? It does seem to carry more utility than the early days of the internet did?

The Bubble View: Today’s valuations are divorced from earnings reality, driven by retail exuberance and algorithmic momentum rather than solid fundamentals.
The Bullish Case: Unlike the dot-com era, many of today’s tech firms are cash-rich, profitable, and genuinely transforming industry workflows.

Wells Fargo’s Chris Harvey reportedly believes the S&P 500 could hit 7,007 by year-end—driven by strong margins in tech and corporate earnings resilience.

But even he acknowledges risks if the AI hype fails to materialise into sustainable profit flows.

Bottom Line

Wall Street may be on the brink of another rebalancing moment. Whether this rally evolves into a crash, correction, pullback or a paradigm shift could depend on investor patience, regulatory restraint—and whether tech firms can actually deliver the future they’re pricing in.

That is the real question!