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Trump whisperer – surreal or real – wake me up please and tell me this is a nightmare!

Nightmare

Oh no! It’s real

This feels surreal because the language being used around global politics has slipped into something closer to internet fandom than international statecraft. You’re not dreaming — it really has become this strange.

The terms ‘Daddy‘ and ‘Trump whisperer‘ are part of a wider cultural shift where political commentary, journalism, and social media increasingly borrow the tone of celebrity gossip.

Instead of treating leaders as officials with constitutional responsibilities, they’re framed like characters in a drama.

The language is deliberately provocative, designed to grab attention, generate clicks, and turn complex geopolitical dynamics into digestible entertainment. And that is not a good thing.

Why this language is appearing

A vacuum of seriousness: When diplomatic behaviour itself becomes erratic or theatrical, the commentary follows suit.

Media sensationalism: Outlets know that emotionally charged or absurd phrasing spreads faster than sober analysis.

Personality‑driven politics: Modern politics often centres on individuals rather than institutions, making it easier for commentators to use personal, even infantilising labels.

Social‑media bleed‑through: Memes, nicknames, and ironic slang migrate from online communities into mainstream reporting.

Why it feels surreal

Because diplomacy used to be defined by restraint, coded language, and careful signalling. Now it’s shaped by public outbursts, personal insults, and performative bravado.

The commentary mirrors the behaviour: if leaders act like protagonists in a chaotic reality show, the language surrounding them inevitably becomes more absurd.

The result is a political environment that feels weightless — as though the stakes aren’t enormous, as though the words don’t matter.

But they do. This shift erodes the dignity of institutions, trivialises international relationships, and leaves citizens feeling as though they’ve stumbled into a parody of global governance.

It’s not a dream

You’re not dreaming. It’s simply that diplomacy has drifted so far from its traditional norms that it now resembles satire.

The challenge is that the consequences are very real, even if the language sounds like a joke.

Please STOP! Wake up and grow up, all of you – and that includes the media too.

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The Billionaire Blueprint: How Ultra Wealth Shapes the World to Its Will

Billionaire simply make the future - they don't predict it

The Power Tower

The modern political landscape increasingly resembles a boardroom, where the wealthiest individuals hold the loudest voices and the most decisive influence.

Billionaires do not merely participate in politics; they shape it. Their resources allow them to steer governments, policies, and public narratives in directions that often serve their own interests rather than the collective good.

They don’t predict the future – they MAKE the future!

As the gap between rich and poor widens, the consequences of this imbalance become harder to ignore.

Money has always played a role in power, but the scale has changed dramatically. Today, a single billionaire can fund political campaigns, lobby for favourable legislation, acquire media outlets, and even bankroll ‘think tanks’ that craft ideological frameworks.

Making the future

This is not prediction; it is construction. They do not wait for the future to unfold—they design it. Their wealth becomes a tool for engineering outcomes that align with their ambitions, whether economic, technological, or geopolitical.

For ordinary citizens, this creates a troubling dynamic. Democracy is built on the principle that every voice carries equal weight, yet the reality increasingly suggests otherwise.

When political influence can be purchased, the public’s needs risk being overshadowed by the priorities of the ultra-wealthy. Policies on taxation, labour rights, housing, healthcare, and environmental protection can be shaped not by what benefits society, but by what preserves or expands elite wealth.

Inequality

This imbalance becomes even more stark when examining global inequality. Reports consistently show that billionaire wealth grows at a pace far exceeding that of the average worker.

While wages stagnate and living costs rise, the richest individuals accumulate fortunes so vast they can influence entire nations. The result is a world where opportunity is unevenly distributed, and where the wealthy can insulate themselves from the consequences of the very policies they help create.

The influence of billionaires also extends into emerging technologies. From artificial intelligence to space exploration, the wealthiest individuals are often the ones setting the agenda.

Ambition

Their visions—however innovative or ambitious—are not always aligned with public interest. When private capital drives technological progress, ethical considerations risk being overshadowed by profit motives or personal legacy-building.

Once again, the future becomes something crafted by a select few, rather than a shared endeavour shaped by collective values.

Yet the most concerning aspect is how normalised this dynamic has become. Many people accept billionaire influence as an inevitable feature of modern society, rather than a distortion of democratic principles.

The narrative of the ‘visionary entrepreneur’ can obscure the reality of concentrated power. Admiration for individual success stories sometimes blinds us to the structural consequences of allowing wealth to dictate policy.

Gap

The widening gap between rich and poor is not simply an economic issue; it is a political one. When wealth becomes synonymous with power, inequality becomes self-reinforcing.

The rich gain more influence, which leads to policies that protect their interests, which in turn allows them to accumulate even more wealth. Meanwhile, the voices of ordinary people grow quieter.

If societies wish to preserve genuine democracy, they must confront this imbalance. Transparency, regulation, and civic engagement are essential tools for ensuring that political power remains accountable to the many, not the few.

The future should be shaped by collective will, not by the unchecked ambitions of those who can afford to buy it.

According to Oxfam

Billionaires’ wealth has surged to a record $18.3 trillion, with the ultra-rich reportedly seeking power for personal benefit, according to a recent report from global charity Oxfam.

The number of billionaires reached more than 3,000 last year, and collectively they saw their fortunes increase by 16%, or $2.5 trillion, the report said.

Added to this, billionaires’ wealth has surged by 81% since 2020, the charity said, describing the past as “a good decade for billionaires.”

Having wealth creators is one thing but having them ‘run’ the world is quite another!

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Gold – how high can you go?

Gold high!

Gold has surged to unprecedented levels, cementing its status as the world’s most sought‑after safe‑haven asset.

In recent sessions, the precious metal has climbed to record highs, with international prices above $4,700 per ounce.

Milestone

This historic milestone reflects a potent mix of geopolitical tension, shifting monetary expectations, and renewed investor appetite for stability.

A major catalyst behind the rally has been escalating trade friction, particularly following new tariff threats from the United States aimed at several European nations.

These developments have intensified global uncertainty, prompting investors to move capital into assets traditionally viewed as resilient during periods of instability.

At the same time, signs of softer U.S. inflation and expectations of future interest‑rate cuts have further supported gold’s upward momentum by weakening the dollar and lowering the opportunity cost of holding non‑yielding assets.

Surge

The gold surge is not limited to global markets. Futures on major exchanges, including India’s MCX, have also registered all‑time highs, underscoring the worldwide scale of the rally.

Analysts suggest that if current conditions persist, gold could continue its ascent, with some forecasting the possibility of the metal reaching $5,000 per ounce in the coming months.

For now, gold’s latest peak marks a defining moment in financial history—an emphatic reminder of its enduring role as a store of value in turbulent times.

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AI bubble – is it going to burst or just deflate very very slowly?

AI Bubble?

Either way, the balloon is close to popping!

AI‑linked markets are undeniably stretched, and the debate over whether a correction is imminent has intensified.

Several analysts warn that valuations across AI‑heavy indices now resemble late‑cycle excess, with the Bank of England noting that some multiples are approaching levels last seen at the peak of the dot‑com bubble.

At the same time, experts argue that enthusiasm for AI stocks has pushed prices far beyond what current earnings can justify, raising the risk of a sharp pullback if sentiment turns or growth expectations soften.

AI reckoning

A number of commentators even outline scenarios for a broader ‘AI reckoning’, where inflated expectations collide with the slower, more incremental reality of enterprise adoption.

This doesn’t guarantee a crash, but it does suggest that the market is vulnerable to any disappointment in revenue growth, chip demand, or data‑centre utilisation.

However, not all analysts believe a dramatic collapse is inevitable. Some argue that while valuations are undeniably high, the scale of investment may still be justified by long‑term structural demand for compute, automation, and agentic AI systems.

Survey

A recent survey of 40 industry leaders shows a split: many fear a bubble, but others maintain that heavy capital expenditure is necessary to meet future AI workloads and that the sector could experience a period of deflation or consolidation rather than a full‑scale crash.

A more moderate scenario—favoured by several economists—is a multi‑quarter pullback as markets digest rapid gains, capital costs normalise, and companies shift from hype‑driven spending to proving real returns.

In this view, AI’s long‑term trajectory remains intact, but the near‑term path is likely to be bumpier and more disciplined than the exuberance of the past two years.

Are we in an AI bubble? Here is my conclusion

The latest commentary suggests we’re still in a highly speculative phase of the AI boom, with massive infrastructure spending and concentrated market gains creating bubble‑like conditions.

So, the safest summary is this: valuations are stretched, expectations are overheated, and investment is flowing faster than proven revenue.

Yet unlike past bubbles the underlying technology is delivering real adoption and measurable productivity gains, meaning we may be in an overhyped surge rather than a classic doomed bubble.

A deflation effect of some sort is likely and soon.

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Has AI Investment Gone Too Far Too Fast? A Quick Look at Hype Reality and Returns

Bubble and turmoil

Few technologies have attracted capital as aggressively as artificial intelligence. In just a few years, AI has shifted from a promising research frontier to the centrepiece of global corporate strategy.

Yet as investment has surged, so too has scepticism. Many analysts now argue that the pace of spending has outstripped both practical readiness and measurable returns.

Recent research suggests that the era of uncritical AI enthusiasm is giving way to a more sober assessment.

Implementation

Capgemini’s findings indicate that businesses are moving from experimentation to implementation, but they also reveal that firms are increasingly focused on proving real value rather than chasing novelty.

This shift reflects a broader concern: despite tens of billions poured into generative AI, a striking proportion of organisations report no financial return at all.

Some studies suggest that as many as 95% of generative AI investments have yet to produce measurable gains.

This disconnect between investment and outcome has fuelled claims that AI has been over‑hyped. The comparison to the telecom‑fibre boom of the early 2000s is becoming more common, particularly as much of the AI infrastructure build‑out is debt‑funded.

Transformative

The risk is not that AI lacks long‑term utility—few doubt its transformative potential—but that the current wave of spending is misaligned with operational readiness, data quality, and realistic deployment timelines.

At the same time, it would be simplistic to declare the AI boom a bubble destined to burst. Many leaders argue that the scale of investment is necessary to meet future demand for data centres, chips, and agentic AI systems.

Indeed, some firms are already shifting focus from generative AI to more autonomous, productivity‑driven agentic models, which may offer clearer paths to return on investment.

Long-term potential vs short term hype

The truth likely lies between the extremes. AI has undoubtedly been over‑sold in the short term, with inflated expectations and rushed adoption leading to disappointing early results.

But the long‑term case remains strong. As tools mature, integration improves, and organisations learn to measure value beyond simple cost savings, returns may begin to justify the extraordinary capital outlay.

For now, the market is entering a more pragmatic phase—one where hype gives way to accountability, and where the winners will be those who invest not just heavily, but wisely.

Less expensive and simpler AI systems may arrive before these huge investments materialise a decent return.

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A Trump Tariff Tantrum and the Greenland Gambit: Europe Braces for more Trump Turmoil

Tariff Turmoil

Donald Trump’s latest tariff broadside has sent a fresh tremor through Brussels, rattling diplomats who were already juggling NATO tensions and the lingering aftershocks of previous trade disputes.

This time, the spark is an unexpected one: Greenland

The controversy began when Trump revived his long‑standing frustration over what he describes as Europe’s ‘unfair’ economic advantage.

According to commentators, his renewed push for steep tariffs on EU goods is tied to a broader strategic grievance — namely, Europe’s refusal to support his administration’s interest in expanding U.S. influence in the Arctic, particularly around Greenland.

While the idea of purchasing the island was dismissed years ago, the geopolitical value of the Arctic has only grown, and Trump’s circle continues to frame Greenland as a missed opportunity that Europe ‘blocked’.

The EU, blindsided by the sudden escalation, now finds itself scrambling to interpret the move.

NATO tariff leverage

Analysts argue that the tariffs are less about economics and more about leverage within NATO.

Trump has repeatedly insisted that European members must increase defence spending, and some observers see the Greenland dispute as a symbolic pressure point — a reminder that the US expects alignment on strategic priorities, not just budget commitments.

Bullying?

European leaders, meanwhile, are attempting to project calm. Publicly, they describe the tariffs as disproportionate and counterproductive. Privately, officials admit that the timing is deeply inconvenient.

With several member states already facing domestic economic pressures, a transatlantic trade clash is the last thing they need.

Yet the EU is also wary of appearing weak. Retaliatory measures are reportedly being drafted, though diplomats insist they hope to avoid a spiral.

The fear is that a tariff war could fracture cooperation at a moment when NATO unity is already under strain.

For now, Europe waits — bracing for the next twist in a saga where Greenland, of all places, has become the unlikely fault line in transatlantic politics.

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China’s enviable GDP figures for 2025?

China growth

China’s newly released growth figures paint a picture of an economy that is meeting official targets while wrestling with deep structural challenges.

According to data published today by the National Bureau of Statistics, China’s GDP expanded by 5% in 2025, matching Beijing’s goal of ‘around 5%’. Yet the headline number masks a more uneven reality beneath the surface.

China’s growth slowed sharply in the final quarter, easing to 4.5%, the weakest pace since the country emerged from its post‑pandemic reopening phase. Still enviable growth figures by any country’s standard.

Analysts note that the year’s performance was propped up largely by a surge in exports, which delivered a record trade surplus despite ongoing U.S. tariffs and global protectionist pressures.

Domestic demand, however, remained subdued, with retail sales and investment both underperforming expectations.

Officials acknowledged the difficult backdrop, citing “strong supply and weak demand” as a persistent imbalance in the economy.

The property sector’s prolonged slump continues to weigh heavily on confidence, while demographic pressures intensified as China recorded its lowest birth rate on record and a fourth consecutive year of population decline.

Taken together, the figures may suggest that while China has succeeded in hitting its growth target, the underlying momentum remains fragile.

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Why are stock markets utterly unfazed by escalating geopolitical tensions throughout our world?

Markets unfazed by geopolitical tensions

For decades, geopolitical flare‑ups reliably rattled global markets. A coup, a missile test, a diplomatic rupture, an oil embargo or even the capture of a ‘sovereign state leader’ — any of these could send indices tumbling.

Yet today, even as governments threaten military action, regimes collapse, and global alliances wobble, equity markets barely blink. The question is no longer why markets panic, but why they don’t.

So why?

Part of the answer lies in the way modern markets interpret risk. Investors have become highly selective about which geopolitical events they consider economically meaningful.

As prominent news outlets have recently reported, even dramatic developments — from the overthrow of Venezuela’s government to threats of force against Iran — have coincided with rising equity indices.

Markets are not ignoring the headlines; they are discounting their economic relevance.

This shift is reinforced by a decade of ultra‑loose monetary policy. When central banks repeatedly step in to cushion shocks, investors learn that sell‑offs are opportunities, not warnings.

The ‘central bank put’ has become a psychological anchor. Even when geopolitical tensions escalate, the expectation of policy support dampens volatility.

Another factor is the professionalisation and algorithmic nature of modern trading. Quant* models and automated strategies respond to data, not drama.

IMF research

Research from the IMF highlights that geopolitical risks are difficult to price because they are rare, ambiguous, and often short‑lived.

When the economic channel is unclear — no immediate disruption to trade, supply chains, or corporate earnings — models simply don’t react. Human traders, increasingly outnumbered, follow suit.

Desensitised

Markets have also become desensitised by repetition. The past decade has delivered a relentless stream of geopolitical shocks: trade wars, sanctions, cyberattacks, territorial disputes, and political upheavals.

Each time, markets dipped briefly and recovered quickly. This pattern has conditioned investors to assume resilience. As analysts note, markets move on expectations, not events themselves.

If the expected outcome is ‘contained’, the market response is muted.

Last point

Finally, global capital has become more concentrated in sectors insulated from geopolitical turbulence. Technology, healthcare, and consumer platforms dominate major indices.

Their earnings are less sensitive to regional conflict than the industrial and energy-heavy markets of previous eras.

None of this means geopolitics no longer matters. It means markets have raised the threshold for what counts as a genuine economic threat.

When that threshold is finally crossed — as history suggests it eventually will be — the complacency now embedded in asset prices may prove painfully expensive.

*Explainer – Quant

A quant model is essentially a mathematical engine built to understand, explain, or predict real‑world behaviour using numbers.

In finance, it’s the backbone of how analysts, traders, and risk teams turn messy market data into something structured, testable, and (ideally) predictive.

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UK growth surprises at 0.3%

UK growth at 0.3% November 2025

The UK economy delivered a welcome surprise in November 2025, posting 0.3% growth and outpacing expectations.

The latest figures from the Office for National Statistics suggest that, despite a difficult autumn marked by weak sentiment and budget uncertainty, activity proved more resilient than many forecasters had assumed.

Jaguar Land Rover

A key driver of the rebound was the restart of manufacturing at Jaguar Land Rover, whose operations had been disrupted by a major cyberattack earlier in the year.

The phased return of production helped lift industrial output and provided a noticeable boost to overall GDP.

Services

Services — the backbone of the UK economy — also expanded by 0.3%, reversing October’s contraction and offering further evidence of stabilisation.

Although the three‑month growth figure remains a modest 0.1%, the monthly improvement has been widely interpreted as a sign that the economy may be edging away from stagnation.

Bank of England harder decision

Analysts note that the stronger‑than‑expected performance could ease some political pressure on the Treasury, even if it complicates the Bank of England’s path toward further interest‑rate cuts.

For now, November’s data provides a rare moment of optimism: a reminder that, despite persistent headwinds, the UK economy retains pockets of momentum that can still surprise on the upside.

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Japan’s Nikkei 225 breaks historic barrier as it hits another new high!

Nikkei above 53,000

Japan’s Nikkei 225 index has surged to an unprecedented milestone, closing at 54341 on 14th January 2026.

This new record marks a defining moment for the world’s third‑largest economy. It signals a profound shift in how global investors view Japan’s prospects after decades of stagnation.

The latest rally has been fuelled by a combination of political momentum and renewed enthusiasm for Japan’s technology and industrial sectors.

Takaichi trade surge

Much of the current surge has been attributed to the so‑called Takaichi trade. Aawave of investor confidence linked to Prime Minister Sanae Takaichi’s popularity and the growing expectation of a snap election.

Markets often respond favourably to political clarity, and the possibility of a strengthened mandate for pro‑growth policies has added fresh energy to Japanese equities.

A weakening yen has also played a central role. With the currency recently touching its softest levels against the U.S. dollar since mid‑2024, exporters have enjoyed a competitive boost.

This currency tailwind, combined with robust global demand for semiconductors and advanced manufacturing, has helped propel the Nikkei beyond levels once considered unreachable.

50,000

The psychological significance of crossing the 50,000 mark only months ago has not been lost on analysts.

Many now argue that Japan is no longer merely a ‘value play’ but a genuine engine of global growth, supported by structural reforms, corporate governance improvements, and a renewed appetite for innovation.

While risks remain — from geopolitical tensions to the possibility of market overextension — the latest record suggests a market rediscovering its confidence.

Timeline Breakdown

It’s taken 36 years to get here

December 1989: The Nikkei 225 peaked at around 38,915, marking the height of Japan’s asset bubble.

1990s–2010s: The index entered a prolonged period of stagnation and decline, bottoming out below 8,000 in 2009.

December 2024: Closed at around 39,894, finally surpassing its 1989 peak.

October 2025: Broke through 50,000 for the first time in history.

December 2025: Closed the year at around 50,339 its highest year-end finish

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The Rise of ‘Woke’ Degrees: What’s Driving These Unusual University Courses?

Meaningless Silly Woke University Degrees

Recent research from the TaxPayers’ Alliance (TPA) has reignited debate about the value and purpose of certain modern university degrees.

Their analysis identified nearly 800 so‑called ‘Mickey Mouse’ courses offered since 2022, including master’s programmes in climate justice and degrees in race, education and decolonial thought.

More than 27,000 students have enrolled on these courses in just four years, prompting questions about academic rigour, employability, and the motivations behind such programmes. Seriously!

What Are These Courses Trying to Do?

Degrees like climate justice and decolonial thought are typically rooted in social theory, activism, and interdisciplinary critique.

Supporters argue that they explore urgent global issues—environmental inequality, historical power structures, and the social dimensions of education.

They see these subjects as part of a broader attempt to understand how society can respond to climate change, racial inequality, and shifting cultural narratives.

Why Critics Call Them ‘Dumbed Down’

The TPA’s findings suggest that many of these courses offer limited job prospects and questionable academic value, placing them among programmes labelled “low‑value” or “Mickey Mouse”.

Critics argue that…

The content is often ideological rather than practical.

The degrees may prioritise activism over academic discipline.

Students accumulate significant debt for qualifications with unclear career pathways.

Universities may be expanding such courses to attract niche interest rather than to meet workforce needs.

Thet are woke nonsense.

The TPA has also highlighted the rapid growth of university EDI (Equality, Diversity and Inclusion) staffing, suggesting a broader institutional shift towards identity‑focused frameworks.

Why Do These Courses Even Exist… Money?

Universities operate in a competitive marketplace. New degrees—especially those tied to contemporary social debates—can attract media attention, funding opportunities, and students seeking purpose‑driven study.

Whether these programmes enrich public understanding or simply dilute academic standards is a matter of ongoing debate, but their proliferation reflects the cultural and political currents shaping higher education today.

In my opinion, long-term these ‘dumbed’ down courses are a waste of educational resources and money.

If it’s about making money for the University – it’s utterly misguided woke nonsense.

Pointless.

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Artificially Inflated Artificial Intelligence Stocks – The FOMO Effect?

Fear of Missing Out FOMO

The meteoric rise of artificial intelligence (AI) stocks has captivated investors worldwide, but beneath the headlines lies a growing concern: are these valuations built on genuine fundamentals, or are they the product of collective psychology?

Increasingly, analysts point to the possibility that the fear of missing out (FOMO) is a potential driver of this rally, especially in the AI related ‘retail’ trader.

The European Central Bank recently warned that AI-related equities, particularly the so-called ‘Magnificent Seven’ tech giants—Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia, and Tesla—are showing signs of ‘stretched valuations‘.

This echoes the dot-com bubble of the late 1990s, when enthusiasm for the internet led to unsustainable price surges.

Today, investors are piling into AI stocks not only because of their technological promise but also because they fear being left behind in what could be a transformative era.

Nvidia, now the world’s most valuable company, exemplifies this trend. Its dominance in AI chips has fuelled extraordinary gains, yet critics argue its valuation has raced far ahead of realistic earnings expectations.

The psychology is clear: when investors see others profiting, they rush in, often ignoring traditional measures of risk and return.

This dynamic creates a paradox. On one hand, AI undeniably represents a revolutionary force with vast potential across industries. On the other, the concentration of capital in a handful of firms raises systemic risks.

If expectations falter, the correction could be brutal, much like the dot-com crash that erased trillions in market value.

Ultimately, the AI boom may prove to be both a genuine technological leap and a speculative bubble. For sure there are undeniable revolutionary technological advancements right now – but is it all just too fast and too soon?

The challenge for investors is to distinguish between sustainable growth and hype-driven inflation—before it is too late.

The FOMO monster is definitely ‘artificially’ affecting the U.S. stock market – it will likely reveal itself soon.

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Are U.S. Markets in an ‘Everything Bubble’?

U.S. Stock Everything Bubble?

The phrase ‘everything bubble‘ has gained traction among investors and commentators who fear that multiple asset classes in the United States are simultaneously overvalued.

Unlike past episodes where excess was concentrated in one sector—such as technology in the late 1990s or housing in the mid‑2000s—the current concern is that equities, property, and credit markets are all inflated together, leaving little room for error.

Equities are the most visible part of the story. Major U.S. indices have surged to record highs, driven by enthusiasm for artificial intelligence, cloud computing, and digital infrastructure.

Valuations in leading technology firms are stretched, with price‑to‑earnings ratios far above historical averages. Critics argue that investors are extrapolating future growth too aggressively, while ignoring the risks of higher interest rates and slowing global demand.

Market breadth has also narrowed, with a handful of companies accounting for most of the gains, a pattern often seen before corrections.

Housing

Housing provides another layer of concern. Despite higher mortgage rates, U.S. home prices remain elevated, supported by limited supply and strong demand in metropolitan areas.

This resilience has surprised analysts, but it also raises the question of sustainability. If borrowing costs remain high, affordability pressures could eventually weigh on the market, exposing households to financial stress.

Credit markets

Credit markets add a third dimension. Corporate debt issuance has slowed, and investors have become more selective, demanding higher yields to compensate for risk. Some deals have been pulled altogether, signalling caution beneath the surface.

When credit tightens, it often foreshadows broader economic weakness, as companies struggle to refinance or fund expansion.

Yet it would be simplistic to declare that everything is a bubble. The rapid adoption of AI and accelerated computing reflects genuine structural change, not mere speculation.

Demand for advanced chips and data centres is tangible, and some firms are generating real cash flows from these trends. Similarly, housing shortages are rooted in years of under‑building, suggesting that supply constraints, rather than speculative mania, are keeping prices high.

The truth may lie in between. U.S. markets are undeniably expensive, and vulnerabilities are widespread.

But not all sectors are equally fragile, and some are underpinned by lasting shifts in technology and demographics.

Investors should therefore resist blanket labels and instead distinguish between genuine transformation and speculative excess.

In doing so, they can navigate a landscape that is frothy in places, but not uniformly illusory.

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U.S. AI vs China AI – the difference

China and U.S. AI

China’s AI industry has indeed cultivated a reputation for ‘doing more with less’, while the U.S. has poured vast sums into AI development, raising concerns about overinvestment and inflated valuations.

The contrast lies not only in the scale of funding but also in the efficiency and strategic focus of each country’s approach.

The U.S. Approach: Scale and Spending

The United States remains the global leader in AI infrastructure, driven by massive private investment and access to advanced computing resources.

Venture capital deals in U.S. AI and robotics startups have more than quadrupled since 2023, surpassing $160 billion in 2025.

This surge has produced headline-grabbing valuations, such as humanoid robotics firms raising billions in single rounds. Yet analysts warn of bubble risks, with valuations often detached from sustainable revenue models.

The U.S. strategy prioritises scale: building the largest models, securing the most powerful GPUs, and attracting top-tier talent.

This has led to breakthroughs in generative AI and large language models, but at extraordinary cost.

Estimates suggest that OpenAI alone has spent over $100 billion on development. Critics argue this reflects a ‘more is better’ philosophy, where innovation is equated with sheer financial muscle.

China’s Approach: Efficiency and Restraint

China, by contrast, has invested heavily but with a different emphasis. In 2025, Chinese AI investment is reportedly projected at $98 billion, far below U.S. levels.

Yet Chinese firms have achieved notable progress by focusing on cost-efficient innovation. For example, AI2 Robotics developed a model requiring less than 10% of the parameters used by Alphabet’s RT-2, demonstrating a commitment to leaner, more resource-conscious design.

Foreign investors are increasingly drawn to China’s cheaper valuations, which are roughly one-quarter of U.S. equivalents.

This efficiency stems from lower research costs, government-led initiatives, and a culture of frugality shaped by regulatory pressures and limited access to advanced hardware.

Rather than chasing scale, Chinese firms often prioritise practical applications and affordability, enabling broader adoption across industries.

Doing More with Less?

The evidence suggests that China has achieved competitive outcomes with far fewer resources, while the U.S. has arguably overpaid in pursuit of dominance.

However, the U.S. still leads in infrastructure, talent, and global influence. China’s strength lies in its ability to innovate under constraints, turning scarcity into efficiency.

Ultimately, the question is not whether one side has ‘overinvested’ or ‘underinvested’, but whether their strategies align with long-term sustainability.

The U.S. risks a bubble fuelled by excess capital, while China’s leaner approach may prove more resilient. In this sense, China is indeed ‘doing more with less’—but whether that will be enough to surpass U.S. dominance remains uncertain.

Bubble vulnerability

The sheer scale of U.S. AI investment has left the industry vulnerable to bubble shock, as valuations and spending appear increasingly detached from sustainable returns.

Analysts warn that the U.S. equity market is showing signs of an AI-driven bubble, with trillions poured into data centres, chips, and generative models at unprecedented speed.

While this has fuelled rapid innovation, it has also created irrational exuberance reminiscent of the dot-com era, where hype outpaces monetisation.

If growth expectations falter or capital tightens, the U.S. could face sharp corrections across tech stocks, credit markets, and employment, exposing the fragility of an industry built on extraordinary but potentially unsustainable levels of investment.

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China’s humanoid robots are coming for Elon Musk’s Tesla $1 trillion dollar payday

China humanoid robot challenge

Elon Musk’s $1 trillion Tesla payday is tightly bound to the rise of humanoid robots—and China’s role in their production may determine whether his vision succeeds.

Elon Musk’s record-breaking compensation package, worth up to $1 trillion, hinges on Tesla’s transformation from an electric vehicle pioneer into a robotics powerhouse.

At the centre of this ambition is Optimus, Tesla’s humanoid robot, designed to walk, learn, and mimic human actions. Musk envisions deploying one million robots within the next decade, a scale that would redefine both Tesla’s business model and the global labour market.

Yet the road to mass production likely runs directly through China. While Tesla engineers designed prototype Optimus in the United States, China dominates the industrial infrastructure and critical components needed for large-scale deployment.

Robot installations in China

In 2023 alone, China reportedly installed over 290,000 industrial robots, more than the rest of the world combined, and reached a robot density of 470 per 10,000 workers, surpassing Japan and Germany.

This aggressive expansion is reportedly backed by state subsidies, low-cost financing, and mandates requiring provincial governments to integrate automation into their restructuring plans.

For Musk, this creates both opportunity and risk. On one hand, China’s manufacturing ecosystem offers the scale and efficiency necessary to bring Optimus to market at competitive costs.

On the other, Beijing’s strict regulations on humanoid robots introduce uncertainty, with geopolitical permission becoming the most unpredictable factor in Tesla’s robot revolution.

If Musk can navigate these challenges, Optimus could anchor Tesla’s evolution into a robotics giant, securing the milestones required for his trillion-dollar payday, and beyond.

But if Chinese competitors or regulatory hurdles slow progress, Tesla risks losing ground in the very sector Musk believes will make work ‘optional’ and money ‘irrelevant’.

In short, the robots coming from China are not just machines—they are very much the ‘key code’ to Musk’s trillion-dollar future.

Never underestimate Elon Musk.

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When Markets Lean Too Heavily on High Flyers

The AI trade

The recent rebound in technology shares, led by Google’s surge in artificial intelligence optimism, offered a welcome lift to investors weary of recent market sluggishness.

Yet beneath the headlines lies a more troubling dynamic: the increasing reliance on a handful of mega‑capitalisation firms to sustain broader equity gains.

Breadth

Markets thrive on breadth. A healthy rally is one in which gains are distributed across sectors, signalling confidence in the wider economy. When only one or two companies shoulder the weight of investor sentiment, the picture becomes distorted.

Google’s AI announcements may well justify enthusiasm, but the fact that its performance alone can swing indices highlights a fragility in the current market structure.

This concentration risk is not new. In recent years, the so‑called ‘Magnificent Seven‘ technology giants have dominated returns, masking weakness in smaller firms and traditional industries.

While investors cheer the headline numbers, the underlying reality is that many sectors remain subdued. Manufacturing, retail, and even parts of the financial industry are not sharing equally in the rally.

Over Dependence

Over‑dependence on highflyers creates two problems. First, it exposes markets to sudden shocks: if sentiment turns against one of these giants, indices can tumble disproportionately.

Second, it discourages capital from flowing into diverse opportunities, stifling innovation outside the tech elite.

For long‑term stability, investors and policymakers alike should be wary of celebrating narrow gains. A resilient market requires participation from a broad base of companies, not just the fortunes of a few.

Google’s success in AI is impressive, but true economic strength will only be evident when growth spreads beyond the marquee names.

Until then, the market remains vulnerable, propped up by giants whose shoulders, however broad, cannot carry the entire economy indefinitely.

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Google launches Gemini 3: Multimodal power and agentic tools

AI Gemini 3

Google has introduced Gemini 3, its most advanced AI model to date, delivering stronger reasoning across text, images, audio, and video.

Announced on 18th November 2025, it shipped simultaneously across Search, the Gemini app, AI Studio, Vertex AI, and developer tools, reflecting a tightly coordinated release and broad immediate availability.

Gemini 3 centres on Gemini 3 Pro with a new Deep Think reasoning mode aimed at higher‑intensity tasks.

Accuracy

Google emphasises reduced prompt‑dependence and improved accuracy, with early benchmarks and analyst reactions highlighting competitive gains versus recent frontier models.

The rollout arrives roughly eight months after Gemini 2.5, underscoring the rapid rise of Google’s AI development.

Alongside the model, Google unveiled Antigravity, an agent‑first coding environment that enables task‑level planning and execution within familiar IDE workflows.

Antigravity integrates Gemini 3 Pro and supports agentic development across end‑to‑end software tasks, with early coverage generation strong productivity features and immediate developer interest.

Nano Banana Pro

Google’s image stack also advanced with Nano Banana Pro (Gemini 3 Pro Image), reportedly improving text rendering, edit consistency, and high‑resolution output up to 4K.

The launch coincided with a notable Alphabet share price lift, signalling market confidence in Google’s AI strategy.

Google’s Gemini 3 sent Alphabet’s share price sharply higher, closing at $318.47, up 6.3% from the previous day.

The surge reflected investor enthusiasm for the model’s multimodal capabilities and enterprise integration, with analysts noting it as a decisive achievement in the AI race.

AI effect

The rally spilled over into other AI‑linked stocks: Nvidia rose 2.1% to $182.55 on strong GPU demand, while IBM gained 2.2% to $304.12 after highlighting quantum computing progress.

In contrast, Microsoft edged up only 0.4% to $474.00, as analysts flagged concerns about capital intensity in its AI investments.

Overall, the Gemini 3 announcement revived momentum across the AI market sector, with Alphabet leading the charge and peers benefiting from renewed confidence in AI’s commercial potential.

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The ‘cold’ race heats up!

The cold rush!

The Arctic is rapidly becoming the new frontier in the global scramble for critical minerals, with nations vying for influence and resources that could shape the future of energy and technology.

The Arctic, long viewed as a remote and inhospitable region, is now at the centre of a geopolitical and economic contest.

Beneath its icy landscapes lie vast reserves of rare earths, base metals, uranium, and precious minerals, all essential for renewable energy technologies, electric vehicles, and advanced defence systems.

As the world accelerates its transition away from fossil fuels, these resources are increasingly seen as strategic assets.

Countries including the United States, Canada, Russia, and Greenland are intensifying exploration and investment. Greenland, in particular, has emerged as a focal point, with experts noting its abundance of rare earths and uranium.

Canada’s northern territories are also being positioned as key suppliers, with government-backed initiatives to strengthen supply chains and reduce reliance on Chinese dominance in the sector.

Control

The race is not solely about economics. Control of Arctic resources carries profound geopolitical weight. As melting ice opens new shipping routes and makes extraction more feasible, competition is sharpening.

Russia has already expanded its Arctic infrastructure, while Western nations are seeking partnerships and technological innovations to ensure sustainable development.

The Oxford Institute for Energy Studies has highlighted that the Arctic could become a significant contributor to the global energy transition, though environmental risks remain a pressing concern.

Fragile

Critics warn that the pursuit of minerals in such fragile ecosystems could have devastating consequences. Mining operations threaten biodiversity, indigenous communities, and the delicate balance of Arctic environments.

Balancing economic opportunity with ecological responsibility will be one of the defining challenges of this new ‘cold gold rush’.

Ultimately, the Arctic’s mineral wealth represents both promise and peril. If managed responsibly, it could underpin the technologies needed to combat climate change and secure energy independence.

If exploited recklessly, it risks becoming another chapter in humanity’s history of resource-driven conflict and environmental degradation.

The ‘cold race’ is heating up!

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Nvidia Q3 results were very strong – but does the AI bubble reside elsewhere – such as with the debt driven AI data centre roll out – and crossover company deals?

AI debt

Nvidia’s Q3 results show strength, but the real risk of an AI bubble may lie in the debt-fuelled data centre boom and the circular crossover deals between tech giants.

Nvidia’s latest quarterly earnings were nothing short of spectacular. Revenue surged to $57 billion, up 62% year-on-year, with net income climbing to nearly $32 billion. The company’s data centre division alone contributed $51.2 billion, underscoring how central AI infrastructure has become to its growth.

These figures have reassured investors that Nvidia itself is not the weak link in the AI story. Yet, the question remains: if not Nvidia, where might the bubble be forming?

Data centre roll-out

The answer may lie in the debt-driven expansion of AI data centres. Building hyperscale facilities requires enormous capital outlays, not only for GPUs but also for power, cooling, and connectivity.

Many operators are financing this expansion through debt, betting that demand for AI services will continue to accelerate. While Nvidia’s chips are sold out and cloud providers are racing to secure supply, the sustainability of this debt-fuelled growth is less certain.

If AI adoption slows or monetisation lags, these projects could become overextended, leaving balance sheets strained.

Crossover deals

Another area of concern is the crossover deals between major technology companies. Nvidia’s Q3 was buoyed by agreements with Intel, OpenAI, Google Cloud, Microsoft, Meta, Oracle, and xAI.

These arrangements exemplify a circular investment pattern: companies simultaneously act as customers, suppliers, and investors in each other’s AI ventures.

While such deals create momentum and headline growth, they risk masking the true underlying demand.

If much of the revenue is generated by companies trading capacity and investment back and forth, the market could be inflating itself rather than reflecting genuine end-user adoption.

Bubble or not to bubble?

This dynamic is reminiscent of past bubbles, where infrastructure spending raced ahead of proven returns. The dot-com era saw fibre optic networks built faster than internet businesses could monetise them.

Today, AI data centres may be expanding faster than practical applications can justify. Nvidia’s results prove that demand for compute is real and immediate, but the broader ecosystem may be vulnerable if debt levels rise and crossover deals obscure the true picture of profitability.

In short, Nvidia’s strength does not eliminate bubble risk—it merely shifts the spotlight elsewhere. Investors and policymakers should scrutinise the sustainability of AI infrastructure financing and the circular nature of tech partnerships.

The AI revolution is undoubtedly transformative, but its foundations must rest on genuine demand rather than speculative debt and self-reinforcing deals.

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Nvidia’s Latest Financial Results – Q3 2025

Nvidia AI chips dominate

Nvidia has once again (unsurprisingly) defied expectations, reporting record-breaking third-quarter results that underscore its dominance in the artificial intelligence chip market.

Nvidia’s Latest Financial Results

Nvidia announced revenue of $57 billion for the quarter ending 26th October 2025, a 62% increase year-on-year and up 22% from the previous quarter.

Net income surged to $31.9 billion, a remarkable 65% rise compared with last year. Earnings per share came in at $1.30, comfortably ahead of analyst forecasts of $1.26.

The company’s data centre division was the star performer, generating $51.2 billion in revenue, up 25% from the previous quarter and 66% year-on-year.

This reflects the insatiable demand for Nvidia’s Blackwell AI chips, which CEO Jensen Huang reportedly described it as ‘off the charts‘ with cloud GPUs effectively sold out.

Market Impact and Outlook

Shares of Nvidia rose sharply following the announcement, adding to a 39% gain in 2025 so far. Analysts had anticipated strong results, but the scale of growth exceeded even bullish expectations.

Options markets had priced in a potential 7% swing in Nvidia’s stock after earnings, highlighting investor sensitivity to its performance.

Looking ahead, Nvidia has issued guidance of $65 billion in revenue for the fourth quarter, signalling continued momentum.

Huang reportedly emphasised that AI demand is compounding across both training and inference, creating what he called a ‘virtuous cycle’ for the industry.

Strategic Significance

Nvidia’s results reinforce its position at the centre of the global AI boom. Its chips power everything from large language models to robotics, and the company is benefiting from widespread adoption across industries.

With margins above 73%, Nvidia is not only growing rapidly but also maintaining enviable profitability.

The figures highlight how Nvidia has become more than a semiconductor company—it is now a cornerstone of the digital economy.

As AI applications proliferate, Nvidia’s ability to scale production and meet demand will be critical in shaping the next phase of technological transformation.

In short: Nvidia’s Q3 results show explosive growth, record revenues, and a confident outlook, cementing its role as the leading force in AI hardware.

Nvidia CEO reportedly remarked…

‘There’s been a lot of talk about an AI bubble‘, Nvidia CEO Jensen Huang reportedly told investors. ‘From our vantage point, we see something very different’.

As to what that means exactly is up to you to decipher. Regardless of what the AI industry has to offer in the future, from an investor’s point of view, Nvidia’s earnings are clearly something to celebrate.

Is AI in a bubble, or not?

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Anthropic’s ‘connected’ AI deal and others too

Anthropic's AI valuation

Anthropic has reportedly struck major deals with Microsoft and Nvidia. On Tuesday 18th November 2025, Microsoft announced plans to invest up to $5 billion in the startup, while Nvidia will contribute as much as $10 billion. According to a reports, this brings Anthropic’s valuation to around $350 billion. Wow!

Google has unveiled its newest AI model, Gemini 3. According to Alphabet CEO Sundar Pichai, it will deliver desired answers with less prompting.

This update comes just eight months after the launch of Gemini 2.5 and is reported to be available in the coming weeks.

Money keeps flowing

Money keeps flowing into artificial intelligence companies but out of AI stocks

In what seems like yet another case of mutual ‘back-scratching’, Microsoft and Nvidia are set to invest a combined $15 billion in Anthropic, with the OpenAI rival agreeing to purchase computing power from its two newest backers.

Lately, a large chunk of AI news feels like it boils down to: ‘Company X invests in Company Y, and Company Y turns around and buys from Company X’.

That’s not entirely correct or fair. There are plenty of advancements in the AI world that focus on actual development rather than investments. Google recently introduced the third version of Gemini, its AI model.

Anthropic’s valuation has surged to around $350 billion, propelled by a landmark $15 billion investment from Microsoft and Nvidia.

Anthropic, the AI start-up founded in 2021 by former OpenAI employees, has rapidly ascended into the ranks of the world’s most valuable companies, more than doubling its worth from $183 billion just a few months earlier.

A valuation of $350 billion for a company only 4 years old is astounding!

The deal reportedly sees Microsoft commit up to $5 billion and Nvidia up to $10 billion. Anthropic has agreed to purchase an extraordinary $30 billion in Azure compute capacity and additional infrastructure from Nvidia.

This strategic alliance is not merely financial; it signals a deliberate diversification of Microsoft’s AI ecosystem beyond its reliance on OpenAI. And Nvidia strengthens its dominance in AI hardware.

Anthropic’s valuation has reached $350 billion, following the massive $15 billion investment from Microsoft and Nvidia, which positions the company among the most valuable in the world.

This astronomical figure reflects both the scale of its partnerships — including $30 billion in Azure compute commitments and Nvidia’s cutting-edge hardware.

The valuation underscores both the intensity of the global AI race and the confidence investors place in Anthropic’s safety-conscious approach to artificial intelligence.

Yet, it also raises questions about whether such astronomical figures reflect genuine long-term value. Or is it the froth of an overheated market.

Hyperscalers keep pumping the money into AI but are they getting the justified returns yet? Probably not yet – but it will come in the future.

But by then, it will be time to upgrade the system as it develops and so more money will be pumped in

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Pichai Warns of AI Bubble: Google Not Immune to Market Correction

AI Bubble caution

Google CEO Sundar Pichai has warned that no company, including his own, will be immune if the current AI bubble bursts.

He described the boom as both extraordinary and irrational, urging caution amid soaring valuations and investment hype

In a recent interview, Google’s chief executive Sundar Pichai offered a sobering perspective on the rapid expansion of artificial intelligence.

Profound Tech Creation

While he reportedly reaffirmed his belief that AI is ‘the most profound technology humanity has developed‘, he acknowledged growing concerns that the sector may be overheating.

According to Pichai, the surge in investment and valuations has created an atmosphere of exuberance that risks tipping into irrationality.

Pichai stressed that if the so-called AI bubble were to collapse, no company would escape unscathed. Even Google, one of the world’s most powerful technology firms, would feel the impact.

Remember Dot-Com?

He likened the current moment to past speculative cycles, such as the dot-com boom, where innovation was genuine, but market expectations outpaced reality.

Despite these warnings, Pichai emphasised that the long-term potential of AI remains intact.

He argued that professions across the board—from teaching to medicine—will continue to exist, but success will depend on how well individuals adapt to using AI tools.

In his view, the technology will reshape industries, but the hype surrounding short-term gains could distort investment flows and create instability.

His comments arrive at a time when Silicon Valley is grappling with questions about sustainability. Tech stocks have surged on AI optimism, yet analysts caution that inflated valuations may not reflect the true pace of adoption.

Pichai’s intervention serves as both a reality check and a reminder: AI is transformative, but it is not immune to market corrections.

For investors and innovators alike, the message is clear—embrace AI’s promise but prepare for turbulence if the bubble bursts.

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Bitcoin’s Bear Market and Its Impact on Crypto in General

Bitcoin in a bear market

Bitcoin has officially entered a bear market, having fallen more than 25% from its October peak of $126,000.

This downturn is rippling across the wider crypto sector, dragging Ethereum, Solana, and other altcoins into steep declines as investor sentiment turns risk-off.

Bitcoin’s recent plunge below $95,000 marks a decisive shift into bear market territory. After reaching an all-time high of $126,000 in early October, the cryptocurrency has shed over a quarter of its value in just six weeks.

Analysts point to a combination of factors: fading hopes of Federal Reserve rate cuts, heavy outflows from Bitcoin ETFs, and broader weakness in technology. The sell-off has erased all of Bitcoin’s 2025 gains, leaving traders cautious and fearful.

This downturn is not isolated. Ethereum has dropped more than 30% from its highs, while Solana and Cardano have suffered double-digit losses.

The total crypto market capitalisation has fallen by approximately $1 trillion since October, underscoring how tightly correlated altcoins remain to Bitcoin’s trajectory.

When the flagship asset falters, liquidity drains across the sector, amplifying volatility.

Investor psychology has shifted dramatically. The ‘buy the dip’ mentality that defined earlier rallies is giving way to defensive strategies, with many now selling into strength rather than accumulating.

Long-term holders have reportedly offloaded hundreds of thousands of BTC in recent weeks, intensifying downward momentum. Meanwhile, ETF outflows — exceeding $1.6 billion in just three days — highlight waning institutional confidence.

Snapshot of CoinMarketCap Fear Gauge

For the broader crypto ecosystem, Bitcoin’s bear market signals a period of consolidation and caution. Altcoins, often more volatile, are likely to experience sharper swings.

Yet history suggests that such downturns can reset valuations, paving the way for healthier growth once macroeconomic conditions stabilise.

For now, however, the market remains firmly in risk-off mode, with Bitcoin leading the retreat.

The crypto sector faces nearing a $1 trillion wipeout, with investor sentiment shifting from optimism to fear.

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Even AI Firms Voice Concern Over Bubble Fears

AI bubble

For some time now, talk of an ‘AI bubble‘ has largely come from investors and financial analysts. Now, strikingly, some of the loudest warnings are coming from inside the industry itself.

At the Web Summit in Lisbon, senior executives from companies such as DeepL and Picsart reportedly admitted they were uneasy about the soaring valuations attached to artificial intelligence ventures. Sam Altman of OpenAI has also sounded warnings of AI overvaluation.

DeepL’s chief executive Jarek Kutylowski reportedly described current market conditions as ‘pretty exaggerated’ and suggested that signs of a bubble are already visible.

Picsart’s Hovhannes Avoyan reportedly echoed the sentiment, criticising the way start‑ups are being valued despite having little or no revenue. He reportedly coined the phrase ‘vibe revenue’ to describe firms being backed on hype rather than substance.

These remarks highlight a paradox. On one hand, demand for AI services remains strong, with enterprises expected to increase adoption in 2026.

On the other, the financial side of the sector looks overheated. Investors such as Michael Burry have accused major cloud providers of overstating profits, while banks including Goldman Sachs and Morgan Stanley have warned of potential corrections.

The tension reflects a broader question: can the industry sustain its rapid expansion without a painful reset?

Venture capital forecasts suggest trillions will be poured into AI data centres over the next five years, yet some insiders argue that the scale of spending is unnecessary.

Even optimists concede that businesses are struggling to integrate AI effectively, meaning the promised returns may take longer to materialise.

For now, the AI sector stands at a crossroads. The technology’s transformative potential is undeniable, but the financial exuberance surrounding it may prove unsustainable.

If the warnings from within the industry are correct, the next chapter of the AI story could be less about innovation and more about value correction.

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Private equity is increasingly burdened by ‘zombie companies’

Zombie Companies

Private equity is increasingly burdened by ‘zombie companies‘ – firms that neither grow nor collapse, but linger in portfolios, draining resources and blocking exits.

In recent years, private equity has faced a troubling phenomenon: the rise of the zombie company.

These are businesses that generate just enough cash to service their debt but fail to deliver meaningful growth or attract buyers, even at discounted valuations.

They remain trapped on balance sheets long after the intended investment horizon, creating a drag on both investors and the wider economy.

The roots of this problem lie in shifting market conditions. Rising interest rates have made debt-heavy buyouts harder to sustain, while a slowdown in dealmaking has reduced opportunities for profitable exits.

Offloading?

In the past, firms could rely on buoyant markets to offload underperforming assets, but today’s cautious buyers are unwilling to take on companies with weak fundamentals.

As noted by a financial educationalist, Oliver GOTTSCHALG – ‘the machine is stuck’ – private equity firms cannot recycle capital efficiently.

For investors, the implications are stark. Capital is locked in funds that cannot distribute returns, potentially undermining confidence in the asset class.

Some firms have resorted to continuation vehicles or fee-generating strategies to keep operations afloat, but these are stopgaps rather than solutions.

The longer companies remain in this half-alive state, the more they consume scarce managerial attention and financial resources.

The persistence of zombie companies also raises broader concerns. They tie up capital that could otherwise support innovation and growth, while their stagnation risks eroding trust in private equity’s promise of dynamic value creation.

Unless market conditions improve or restructuring strategies succeed, the industry may face a decade defined not by bold exits, but by portfolios haunted by the undead.

In short, zombie companies symbolise private equity’s struggle to adapt, neither thriving nor dying but stubbornly refusing to leave

Zombie companies in private equity trap capital, reducing liquidity and investor confidence, which indirectly pressures public markets—especially high‑valuation sectors like AI.

When private equity funds are clogged with underperforming assets, institutional investors face tighter cash flows and may rebalance away from riskier equities.

This creates capital shortages and amplifies volatility in growth stocks. AI firms, already under scrutiny for sky‑high valuations, are particularly vulnerable: investors pull back when liquidity is constrained, leading to sharper corrections.

Recent sell‑offs saw AI stocks lose over $820 billion in value as confidence faltered, reflecting how private equity stagnation can ripple into tech markets.

Beware the Zombie!

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The UK economy grew by just 0.1% in the third quarter of 2025, a figure that casts a shadow over the government’s upcoming Autumn Budget

UK Growth

The Office for National Statistics confirmed that GDP expanded by a mere 0.1% between July and September 2025, down from 0.3% in the previous quarter and below economists’ low expectations of 0.2%.

This ‘painstakingly low and feeble growth’ reflects weak consumer demand, faltering production, and persistent inflationary pressures.

For Chancellor Rachel Reeves, who will deliver her Budget on 26th November 2025, the numbers present a difficult backdrop. With unemployment edging higher and household finances under strain, calls for fiscal support are intensifying.

Yet speculation continues that Reeves will likely opt for tax rises to shore up public finances, a move that risks dampening already fragile growth.

The Bank of England may provide some relief if it cuts interest rates at its final meeting of the year, but monetary easing alone cannot offset structural weaknesses.

Business investment remains subdued, and September’s 2% drop in manufacturing output highlights the challenges facing industry. The JLR debacle didn’t help.

The Budget will therefore be a balancing act: stimulating growth without undermining fiscal credibility.

Today’s figures underline the urgency of that task.

Note:

Rachel Reeves’ 2024 Autumn Budget aimed to lay the groundwork for long-term growth, but it was not widely seen as a ‘growth budget’.

Many business leaders and analysts criticised it for dampening entrepreneurial momentum.

Reeves framed her first Budget as a reset for economic stability, following Labour’s July 2024 election win.

And here we are one year on from 2024 budget with virtually ZERO growth.

So, where now?