AI optimism fuels October’s stock surge, with tech leading the charge

AI driven stock market

October 2025 saw a notable upswing in global equity markets, with artificial intelligence (AI) emerging as a key driver of investor enthusiasm.

In the United States, major indices closed the month firmly in the green, buoyed by strong third-quarter earnings and renewed confidence in AI’s transformative potential.

Tech giants such as Nvidia, Amazon, and Palantir posted robust results, reinforcing the narrative that AI is not just hype—it’s reshaping business fundamentals.

Nvidia’s leadership in AI chips and Amazon’s expanding AI-driven logistics were particularly well received, while Palantir’s government contracts underscored AI’s strategic reach.

The Federal Reserve’s decision to cut interest rates by 0.25% added further momentum, making growth stocks more attractive and amplifying the rally in AI-heavy portfolios.

Analysts noted that investor sentiment was bolstered by easing trade tensions and a cooling inflation outlook, but it was AI’s ‘secular tailwind of extreme innovation’ that truly captured market imagination.

While some caution that valuations may be running hot, the October 2025 rally suggests that AI is now central to market dynamics. A pullback is likely soon.

As 2025 draws to a close, investors are watching closely to see whether the optimism translates into durable gains—or signals the start of an AI bubble.

Which of the AI bubble indicators are we already seeing? Should we be concerned?

Bubble in AI

We’re already seeing multiple classic bubble indicators: extreme valuations (Buffett Indicator, Shiller CAPE), record retail participation, AI-driven hype, and surging margin debt—all pointing to elevated risk.

Key Bubble Indicators Already Present

📈 Buffett Indicator (Market Cap to GDP) This ratio is at historically high levels, suggesting stocks are significantly overvalued relative to the economy. Warren Buffett himself has warned investors may be “playing with fire”.

📊 Shiller CAPE Ratio Another respected valuation metric, the cyclically adjusted price-to-earnings ratio, is also elevated—indicating unsustainable earnings multiples and potential for correction.

🧠 AI-driven speculation The rally is heavily concentrated in AI and tech stocks, with some analysts calling it a “toxic calm” before a crash. Search volume for ‘AI bubble‘ is at record highs, and billionaire Paul Tudor Jones has issued warnings.

📉 Retail investor frenzy A record 62% of Americans now own stocks, with $51 trillion at stake. This surge in retail participation is reminiscent of past bubbles, where optimism outpaces caution.

📌 New market highs The Nasdaq, S&P 500, and Dow have hit dozens of new highs in recent months. While bullish on the surface, this pace of gains often precedes sharp reversals.

💸 Margin debt and risk appetite Risk-taking is accelerating, with margin debt climbing and speculative behavior increasing. Analysts note this as a historically bad sign when paired with euphoric sentiment.

What’s Not Yet Peaking (But Worth Watching)

IPO and SPAC volume: While not at 2021 levels, any surge here could signal speculative excess.

Corporate earnings vs. valuations: Some firms still show strong earnings, but the disconnect is widening.

Narrative dominance: AI optimism is strong, but hasn’t fully eclipsed fundamentals—yet.

How far away are we from the AI bubble popping?

Will it deflate slowly or burst?

Cathie Wood Warns of AI Market Top-Heavy Risks Amid Strategic Portfolio Shifts

AI stock warning

Cathie Wood, CEO of ARK Invest, has once again stirred debate in financial circles by cautioning that the artificial intelligence (AI) sector may be growing top-heavy.

While she remains bullish on the long-term potential of AI technologies, Wood has signalled concern over the concentration of capital in a handful of dominant players—particularly those driving the S&P 500’s recent surge.

Speaking during a recent investor forum in Saudi Arabia, Wood dismissed fears of an outright AI bubble but acknowledged the risk of valuation corrections as interest rates climb and market exuberance outpaces fundamentals.

Her remarks come as ARK Invest continues to rebalance its portfolio, trimming exposure to overvalued tech giants while increasing stakes in emerging AI innovators such as Baidu and Robinhood.

Wood’s flagship ARK Innovation ETF (ARKK) has rebounded sharply in 2025, up over 87% year-on-year, largely fuelled by AI-related holdings.

Yet she reportedly remains wary of the ‘Mag 7’ effect—where a small cluster of mega-cap stocks like Nvidia, Microsoft, and Alphabet dominate investor attention and index weightings.

Strategy

This concentration, she argues, distorts broader market signals and risks sidelining promising mid-cap disruptors.

In response, ARK has shed positions in AMD and Shopify while doubling down on Baidu, a move that reflects Wood’s belief in underappreciated AI plays beyond Silicon Valley.

Her strategy underscores a broader thesis: that the next wave of AI growth will come from decentralised platforms, edge computing, and global innovators—not just the usual suspects.

While critics remain divided on her timing and tactics, Wood’s portfolio adjustments suggest a nuanced approach—one that embraces AI’s transformative power while resisting the gravitational pull of overhyped valuations.

For investors watching the sector’s evolution, her message is clear: beware the weight of giants.

AI Crash! Correction or pullback? Something is coming…

AI Bubble concerns

Influential figures and institutions are sounding the AI alarm—or at least raising eyebrows—about the frothy valuations and speculative fervour surrounding artificial intelligence.

Who’s Warning About the AI Bubble?

🏛️ Bank of England – Financial Policy Committee

  • View: Stark warning.
  • Quote: “The risk of a sharp market correction has increased.”
  • Why it matters: The BoE compares current AI stock valuations to the dotcom bubble, noting that the top five S&P 500 firms now command nearly 30% of market cap—the highest concentration in 50 years.

🏦 Jerome Powell – Chair, U.S. Federal Reserve

  • View: Cautiously sceptical.
  • Quote: Assets are “fairly highly valued.”
  • Why it matters: While not naming AI directly, Powell’s remarks echo broader concerns about tech valuations and investor exuberance.

🧮 Lisa Shalett – Chief Investment Officer, Morgan Stanley Wealth Management

  • View: Deeply concerned.
  • Quote: “This is not going to be pretty” if AI capital expenditure disappoints.
  • Why it matters: Shalett warns that 75% of S&P 500 returns are tied to AI hype, likening the moment to the “Cisco cliff” of the early 2000s.

🌍 Kristalina Georgieva – Managing Director, IMF

  • View: Watchful.
  • Quote: Financial conditions could “turn abruptly.”
  • Why it matters: Georgieva highlights the fragility of markets despite AI’s productivity promise, warning of sudden sentiment shifts.

🧨 Sam Altman – CEO, OpenAI

  • View: Self-aware caution.
  • Quote: “People will overinvest and lose money.”
  • Why it matters: Altman’s admission from inside the AI gold rush adds credibility to bubble concerns—even as his company fuels the hype.

📦 Jeff Bezos – Founder, Amazon

  • View: Bubble-aware.
  • Quote: Described the current environment as “kind of an industrial bubble.”
  • Why it matters: Bezos sees parallels with past tech manias, suggesting that infrastructure spending may be overextended.

🧠 Adam Slater – Lead Economist, Oxford Economics

  • View: Analytical.
  • Quote: “There are a few potential symptoms of a bubble.”
  • Why it matters: Slater points to stretched valuations and extreme optimism, noting that productivity projections vary wildly.

🏛️ Goldman Sachs – Investment Strategy Division

  • View: Cautiously optimistic.
  • Quote: “A bubble has not yet formed,” but investors should “diversify.”
  • Why it matters: Goldman acknowledges the risks while maintaining that fundamentals may still justify valuations—though they advise caution.
AI Bubble voices infographic October 2025

🧠 Julius Černiauskas and the Oxylabs AI/ML Advisory Board

🔍 View: The AI hype is nearing its peak—and may soon deflate.

  • Černiauskas warns that AI development is straining environmental resources and public trust. He’s pushing for responsible and sustainable AI practices, noting that transparency is lacking in how many models operate.
  • Ali Chaudhry, research fellow at UCL and founder of ResearchPal, adds that scaling laws are showing their limits. He predicts diminishing returns from simply making models bigger, and expects tightened regulations around generative AI in 2025.
  • Adi Andrei, cofounder of Technosophics, goes further: he believes the Gen AI bubble is on the verge of bursting, citing overinvestment and unmet expectations

🧠 Jamie Dimon on the AI Bubble

🔥 View: Sharply concerned—more than most as widely reported

  • Quote: “I’m far more worried than others about the prospects of a downturn.”
  • Context: Dimon believes AI stock valuations are “stretched” and compares the current surge to the dotcom bubble of the late 1990s.

📉 Key Warnings from Dimon

  • “Sharp correction” risk: He sees a real danger of a sudden market pullback, especially given how AI-related stocks have surged disproportionately—like AMD jumping 24% in a single day after an OpenAI deal.
  • “Most people involved won’t do well”: Dimon told the BBC that while AI will ultimately pay off—like cars and TVs did—many investors will lose money along the way.
  • “Governments are distracted”: He criticised policymakers for focusing on crypto and ignoring real security threats, saying: “We should be stockpiling bullets, guns and bombs”.
  • AI will disrupt jobs and companies”: At a trade event in Dublin, he warned that AI’s ubiquity will shake up industries and employment across the board.

And so…

The AI boom of 2025 has ignited a speculative frenzy across global markets, with tech stocks soaring and investors piling into anything labelled “AI-adjacent.”

But beneath the euphoria, a chorus of high-profile warnings is growing louder. From the Bank of England and IMF to JPMorgan’s Jamie Dimon and OpenAI’s Sam Altman, concerns are mounting that valuations are dangerously stretched, capital is overconcentrated, and the narrative is outpacing reality.

Dimon likens the moment to the dotcom bubble, while Altman admits many will “lose money” chasing the hype. Analysts point to classic bubble signals: retail mania, corporate FOMO, and earnings divorced from fundamentals.

Even as AI’s long-term utility remains promising, the short-term exuberance may be setting the stage for a sharp correction.

Whether it’s a pullback or a full-blown crash, the mood is shifting—from uncritical optimism to wary anticipation.

The question now is not whether AI will change the world, but whether markets have priced in too much, too soon.

We have been warned!

The AI bubble will pop – it’s just a matter of when and not if.

Go lock up your investments!

Bulls and Bubbles: The stock market euphoria

Bubbles and Bulls

In the world of stock markets, few phenomena are as captivating—or as perilous—as bull runs and speculative bubbles.

Though often conflated, these two forces represent distinct psychological and financial dynamics that shape investor behaviour and market outcomes.

Bull Markets: Confidence with Momentum

A bull market is defined by sustained price increases across major indices. Typically driven by strong economic fundamentals, corporate earnings growth, and investor optimism.

In the U.S., iconic bull runs include the post-World War II expansion. The 1980s Reagan-era boom, and the tech-fuelled rally of the 2010s. The Dot-Com bull run, and subsequesnt crash is probably the most famous.

Bull markets feed on confidence: low interest rates, rising employment, and technological innovation often act as catalysts. Investors pile in, believing the upward trajectory will continue—sometimes for years.

But even bulls can lose their footing. When valuations stretch beyond reasonable earnings expectations, the line between bullish enthusiasm and irrational exuberance begins to blur.

Bubbles: Euphoria Untethered from Reality

A bubble occurs when asset prices inflate far beyond their intrinsic value. This is fuelled not by fundamentals but by speculation and herd mentality.

The dot-com bubble of the late 1990s is a textbook example. Companies with no profits—or even products—saw their valuations soar simply for having ‘.com’ in their name.

Similarly, the U.S. housing bubble of the mid-2000s was driven by easy credit and the belief that property prices could only go up.

Bubbles often follow a predictable arc: stealth accumulation, media attention, public enthusiasm, and finally, a euphoric peak.

When reality sets in—be it through disappointing earnings, regulatory shifts, or macroeconomic shocks—the bubble bursts! Leaving behind financial wreckage and a trail of disillusioned investors.

Spotting the Difference

While bull markets can be healthy and sustainable, bubbles are inherently unstable. The key distinction lies in valuation discipline.

Bulls are supported by earnings and growth; bubbles are driven by hype and fear of missing out (FOMO).

Tools like the cyclically adjusted price-to-earnings (CAPE) ratio and historical trend analysis can help investors discern whether they’re riding a bull or inflating a bubble.

📉 The Aftermath and Opportunity Ironically, the collapse of a bubble often sows the seeds for the next bull market. As excesses are purged and valuations reset, long-term investors find opportunities in the rubble.

The challenge lies in resisting the emotional extremes—greed during the rise, panic during the fall—and maintaining a clear-eyed view of value.

In markets, as in life, not every rise is rational, and not every fall is fatal

As of October 2025, many analysts argue that the U.S. stock market is exhibiting classic signs of a bubble. Valuations stretched across major indices and speculative behaviour intensifying—particularly in mega-cap tech stocks and passive index funds.

The S&P 500 recently hit record highs despite a backdrop of political gridlock and a government shutdown. This suggests a disconnect between price momentum and underlying economic risks.

Indicators like Market Cap to Gross Value Added (GVA) and excessive investor sentiment point to a speculative mania. Some experts are calling it the largest asset bubble in U.S. history.

While a full-blown crash hasn’t materialised yet, the market’s frothy conditions and historical October volatility have many bracing for a potential correction.

When will it be time to worry about the AI bubble?

AI bubble inflating

Key Signals of an AI Bubble

Valuations detached from fundamentals When companies with minimal revenue or unclear business models are trading at sky-high valuations purely because they’re ‘AI-adjacent’, surely it’s time to take note.

Overconcentration in a few stocks If market gains are disproportionately driven by a handful of AI giants (think Nvidia, Microsoft and Amazon etc.), it suggests fragility. A stumble by one could ripple across the sector.

Narrative dominance over substance When investor excitement is driven more by buzzwords (‘transformational’, ‘disruptive’, ‘AGI’) than by actual product performance or adoption metrics, the hype may be outpacing reality. But there is real utility in AI if managed carefully.

Corporate FOMO and rushed adoption Companies scrambling to integrate AI without clear ROI or strategic fit—especially when they start cutting staff to “reskill for AI”—can signal unsustainable pressure.

Retail investor mania If you start seeing AI-themed ETFs, TikTok stock tips, and speculative day trading around obscure AI startups, it’s reminiscent of past bubbles like dot-com or crypto.

What to watch for next

  • Earnings vs. expectations: If AI leaders start missing earnings or issuing cautious guidance, sentiment could shift fast.
  • Regulatory headwinds: New rules around data, privacy, or model transparency could reshape the landscape.

Labour market impact: If AI adoption leads to widespread job displacement without productivity gains, the backlash could be swift.

Are We in an AI ‘Super Cycle’? Some investors say Yes—and it could last two decades?

AI

The term ‘AI super cycle’ is gaining traction among top investors, and for good reason.

According to recent commentary from leading venture capitalists, we may be entering a prolonged period of exponential growth in artificial intelligence—one that could reshape industries, economies, and even the nature of work itself.

Unlike previous tech booms, this cycle isn’t driven by a single breakthrough. Instead, it’s the convergence of multiple forces: unprecedented computing power, vast datasets, and increasingly sophisticated models.

From generative AI tools that write code and craft marketing copy, to autonomous systems revolutionising logistics and healthcare, the pace of innovation is staggering.

What makes this cycle ‘super’ isn’t just the technology—it’s the scale of adoption. AI is no longer confined to Silicon Valley labs or niche enterprise solutions.

It’s being embedded into everyday workflows, consumer apps, and national infrastructure. Governments are racing to regulate it, while companies scramble to integrate it before competitors do.

Some analysts believe this cycle could last 20 years, echoing the longevity of the internet era. But unlike the dot-com bubble, AI’s utility is already tangible.

Productivity gains, cost reductions, and creative augmentation are being realised across sectors—from finance and pharmaceuticals to education and entertainment.

Still, the super cycle isn’t without risk. Ethical concerns, data privacy, and algorithmic bias remain unresolved. And as AI systems become more autonomous, questions of accountability and control grow sharper.

Some also suggest the market is ‘frothy’ (including the Fed) and is due a correction or at the very least a pullback.

Yet for now, the momentum is undeniable. Investors are pouring billions into AI startups, chipmakers are scaling up production, and global markets are recalibrating around this new frontier.

If this truly is a super cycle, it’s not just a moment—it’s a movement.

And we’re only at the beginning of the curve

Is Wall Street more fixated on Nvidia’s success than the potential failure of the Fed – the Fed needs to maintain independence?

Nvidia, Wall Street and the Fed

As Nvidia prepares to unveil another round of blockbuster earnings, Wall Street’s gaze remains firmly fixed on the AI darling’s ascent.

The company has become a proxy for the entire tech sector’s hopes, its valuation ballooning on the back of generative AI hype and data centre demand. Traders, analysts, and even pension funds are treating Nvidia’s quarterly results as a bellwether for market sentiment.

But while the Street pops champagne over GPU margins, a quieter and arguably more consequential drama is unfolding in Washington: The Federal Reserve’s independence is under threat.

Recent political manoeuvres—including calls to fire Fed Governor Lisa Cook and reshape the Board’s composition—have raised alarm bells among economists and institutional investors.

The Fed’s ability to set interest rates free from partisan pressure is a cornerstone of global financial stability. Undermining that autonomy could rattle bond markets, distort inflation expectations, and erode trust in the dollar itself.

Yet, the disparity in attention is striking. Nvidia’s earnings dominate headlines, while the Fed’s institutional integrity is relegated to op-eds and academic panels.

Why? In part, it’s the immediacy of Nvidia’s impact—its share price moves billions in minutes.

The Fed’s erosion, by contrast, is a slow burn, harder to quantify and easier to ignore until it’s too late.

Wall Street may be betting that the Fed will weather the political storm. But if central bank independence falters, even Nvidia’s stellar performance won’t shield markets from the fallout.

The real risk isn’t missing an earnings beat—it’s losing the referee in the game of monetary policy.

In the end, Nvidia may be the star of the show, but the Fed is the stage. And if the stage collapses, the spotlight won’t save anyone.

The bubble that thinks: Sam Altman’s AI paradox

AI Bubble?

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.

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

Is Wall Street AI tech in a bubble?

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!

Warning issued for stock market bubble

AI bubble

Howard Marks, a widely respected value investor and co-founder of Oaktree Capital Management, recently issued a memo highlighting several cautionary signs of a potential bubble in the stock market.

Marks, who famously foresaw the dot-com bubble, pointed out that today’s high market valuations could lead to poor returns over the long term or even sharp declines in the near term.

Marks reportedly noted that the S&P 500’s current price-to-earnings (P/E) ratio is around 22, which is near the top of the historical range. He explained that higher P/E ratios have historically led to lower returns in the long run.

Marks also expressed concern about the enthusiasm surrounding new technologies like AI, which has driven up the prices of companies like Nvidia.

Marks emphasized that investors should not be indifferent to today’s market valuations and should be cautious about the potential for a market correction.

He also raised questions about the role of automated buying from passive investors and the presumption that the largest companies will always succeed.

Slower and smaller-than-expected rate cuts. A slowing U.S. economy and a potential AI bubble – does this all add up to a coming bear market?

Witches' stocks cauldron

The stock markets mix of toil and trouble is in the cauldron ready for a bear market in 2025, if not before.

Why?

  • Fed to resist reducing rates to the market’s desired 3.50%.
  • Profits unlikely from now on to fulfill expectations, because the U.S. economy is slowing.
  • AI sector is in or close to ‘bubble territory’.
  • Debt.
  • Geopolitical concerns.

These concerns are now all combining, and it will likely add-up to a bear market of around 25% in 2025 (this is my best guess).

Remember – make your own decisions and always, always do your own careful research. Seek professional financial advice if in doubt.

RESEARCH! RESEARCH! RESEARCH!

Is AI driving a market bubble or is there so much more yet to come?

Tech bubble

As tech giant Nvidia soars on hype around artificial intelligence (AI), and as global stock indexes claim record highs, debate has grown about whether the stock market has entered a ‘bubble.’

An AI bubble of boom

We are reminded of the dotcom bubble where investment was rife in anything tech – so, are we now potentially facing a new tech bubble – an AI bubble of boom?

That’s generally seen as a period in which asset prices inflate rapidly, potentially beyond their core value; and risk crashing just as fast.

Other AI stocks are chasing the dream too adding to the hype. However, some are in the slow lane playing catch-up and this may suggest there is much, much more to come.

The likes of AMD, Intel, Amazon, OpenAI, Arm and a myriad of other tech companies big and small have much more AI to bring to the tech table.

Let’s use Nvidia as an example of a potential stock bubble

If we look at the valuation of Nvidia, justifiably it is actually very high, too high even – that’s the first sign of a potential problem, valuation. The second issue is investor positioning – whenever you have a market bubble, investors are very clustered or very concentrated, either in one market or in one sector as a whole.

Nvidia one year chart as of 29th February 2024. Price 791

Nvidia one year chart as of 29th February 2024. Price 791

Sectors

It doesn’t matter which markets you look at – the U.S., Europe or Asia markets – the problem is the same. We now have an historic valuation between the tech sector, the AI sub-sector of the tech sector, and the rest of the market.

Investors are very clustered in this tech sector. However, some leading commentators say of tech that this is not hype – this is real. It most probably is, for now, and with much more to come from the smaller tech and AI companies that have yet to show their true AI value. But all bubbles burst in the end.

Pop!

There is certainly plenty of room for AI to grow – it’s in its infancy – but the question is: ‘how and when will the bubble burst? Because, in my humble opinion, it most certainly will.

We may not see a dramatic market crash like 1999-2000 or 2007/2008, but an investor rotation out of areas of concentration into the broader market will likely happen.

If you look at the bubbles of 1999-2000, and then in 2007/2008, one key characteristic was investor leverage. And we had, whether it was retail investors or institutional investors, a very high level of leverage, and that was either through borrowings or it was through derivatives.

The AI tech boom has legs but there will almost inevitably be a rotation from AI to other sectors – that will then adjust the overvalued AI sector. And it could pullback quite hard.

Be ready!