NEW YORK — Wall Street’s extraordinary artificial intelligence rally could be approaching a dangerous turning point, with bearish strategists warning that a potential collapse in AI-related stocks could trigger one of the worst US stock market crashes since the 2008 global financial crisis.
The warning, highlighted in an October 8 Bloomberg report, comes as the benchmark S&P 500 continues trading near record highs despite mounting concerns about inflated technology valuations, rising borrowing costs and the enormous financial commitments being made to build artificial intelligence infrastructure.
Although major technology companies have helped propel US equities to historic levels, some market experts believe the rally is becoming increasingly vulnerable to a sharp reversal.
One of the most aggressive bearish forecasts comes from British investment bank Panmure Liberum, which expects the S&P 500 to decline to 5,000 points by the end of 2027, representing a potential drop of more than 35% from recent levels.
Panmure analyst Joachim Klement has warned that the AI sector could face a major reassessment as investors begin questioning whether the technology industry’s aggressive spending plans can generate sufficient financial returns.
Reuters reported the forecast on October 5, noting that persistent inflation, elevated bond yields and tighter monetary policy could undermine the US stock market’s multiyear rally.
The prediction is not a consensus forecast, and a crash is far from inevitable.
But it raises a central question confronting global financial markets:
What happens when the companies carrying Wall Street’s biggest rally can no longer meet investors’ extraordinary expectations?
S&P 500 near historic highs — but cracks are appearing beneath the surface
S&P 500, October 7 close
7,801.77
Near its record level
Panmure’s end-2027 forecast
5,000
Bearish forecast, not a target shared by all analysts
The gap between the market and Panmure’s bearish scenario
S&P 500 index points; forecast is not an observed market outcome
02,5005,0007,50010,000Oct. 7 closeEnd-2027 forecast
October 7 closing level: Associated Press. Forecast: Panmure Liberum, reported by Reuters.
The S&P 500 closed at 7,801.77 on October 7, retreating just 0.2% after reaching a record in the previous session.
The Nasdaq Composite also declined slightly, while the smaller-company Russell 2000 suffered a steeper drop of 1.3%.
Despite the pullback, US stocks remain significantly higher for the year, supported by expectations of strong corporate earnings and continued AI investment.
However, the headline index has increasingly masked weakness across other parts of the market.
According to The Wall Street Journal, nearly 80% of S&P 500 stocks declined during September even as AI-related technology shares helped sustain broader market benchmarks.
This divergence is important because it suggests that much of the market’s apparent strength depends on a relatively small group of heavyweight companies.
When those companies rise, they can lift the entire index.
But when they fall, their substantial influence can accelerate market-wide losses.
Why strategists believe the AI boom could become a bubble
The global technology industry has committed extraordinary sums to AI development.
Companies are building massive data centers, securing specialized semiconductors, developing advanced models and investing in electricity infrastructure.
Much of this spending is based on expectations that artificial intelligence will transform productivity, accelerate business growth and create new sources of revenue.
The risk is that investors may be paying today for profits that will take years to materialize—or may never reach projected levels.
London-based research firm Capital Economics has argued that several market indicators are consistent with a late-stage speculative bubble.
Its September research warned that the eventual reversal of the AI rally could produce substantial equity-market losses, while potentially benefiting some government bonds as investors seek safer assets.
Capital Economics has also warned that technology-heavy markets, including the United States, South Korea and Taiwan, could underperform over the medium term if AI enthusiasm fades.
The comparison with earlier speculative booms has become increasingly prominent, particularly as AI-related companies command enormous market capitalizations.
The concern is not that artificial intelligence lacks genuine economic value.
Instead, critics argue that investors may be underestimating how much future growth is already reflected in share prices.
Ray Dalio joins warnings over a possible AI bubble
Billionaire investor and Bridgewater Associates founder Ray Dalio has also raised concerns about speculative excess in the technology sector.
Speaking at a conference in Singapore, Dalio characterized the current AI investment environment as displaying classic bubble-like conditions.
Reuters reported on October 7 that investors and policymakers at major Singapore conferences were increasingly questioning whether AI-related investments would ultimately deliver sufficient financial returns.
The discussions reflected a shift from unrestrained optimism toward greater scrutiny of valuations, capital expenditure and technology risks.
Dalio’s concerns are particularly significant because market conditions have become more challenging.
Higher interest rates can reduce the present value of future corporate earnings, placing pressure on expensive growth stocks.
At the same time, increasing borrowing costs can make it more difficult for companies to finance large infrastructure projects.
This combination creates a potentially dangerous environment for businesses whose valuations depend heavily on strong long-term growth.
Rising bond yields could become the trigger Wall Street fears
One of the biggest threats to the AI-driven rally may come from outside the technology industry itself.
US Treasury yields have climbed sharply as investors reassess inflation, government borrowing and the Federal Reserve’s interest-rate outlook.
The 10-year Treasury yield reached approximately 5.36% on October 7, reflecting the growing pressure on global bond markets.
Higher yields can make government bonds more attractive relative to equities while increasing the cost of financing business expansion.
This matters enormously for AI companies.
Building the infrastructure needed to power advanced AI models requires vast investments in processors, cooling systems, electricity generation and computing facilities.
Reuters reported on October 8 that major technology companies, including Broadcom, Oracle and SpaceX, were pursuing significant financing arrangements related to AI expansion.
These funding requirements are adding to concerns about growing corporate debt and competition for investor capital.
If borrowing costs remain elevated, technology companies may eventually face difficult decisions about how much to spend on AI expansion.
A slowdown in spending could then affect semiconductor manufacturers, data-center operators, electricity suppliers and other businesses benefiting from the boom.
A 2008-style crash? The comparison has important limits
The 2008 financial crisis was driven largely by excessive mortgage-related leverage, the collapse of housing-linked securities and failures across the financial system.
Today’s AI concerns involve a different combination of risks: concentrated stock-market leadership, optimistic earnings expectations, expensive valuations and increasingly large infrastructure commitments.
A significant correction in technology shares would not automatically create a banking crisis comparable to 2008.
However, the potential scale of stock-market losses could still be severe.
A drop of more than 35% in the S&P 500 would be substantially worse than an ordinary correction, which is commonly defined as a decline of at least 10% from a recent market peak.
It could also affect retirement savings, investment funds and confidence across global financial markets.
The comparison with 2008 therefore concerns the potential magnitude of market losses—not necessarily the same underlying causes or economic consequences.
Not everyone believes the AI rally is a bubble
Despite the warnings, major financial institutions remain divided over whether the AI boom is approaching a collapse.
DBS Group Chief Investment Officer Hou Wey Fook has argued that valuations and earnings growth at major AI companies do not resemble the extreme speculative conditions of the dot-com bubble.
In remarks reported by Bloomberg on October 5, Hou pointed to Nvidia’s projected earnings expansion and comparatively lower forward valuation as reasons the AI rally could remain fundamentally supported.
Goldman Sachs has also maintained a constructive market outlook, with a reported 12-month S&P 500 target of 8,700, supported by expectations of further corporate earnings growth.
These competing forecasts show how uncertain Wall Street’s outlook has become.
| Market scenario | S&P 500 level | Interpretation |
|---|---|---|
| Panmure Liberum bear case | 5,000 by end-2027 | AI spending disappoints and valuations contract |
| October 7 actual close | 7,801.77 | Index remains near historical highs |
| Goldman Sachs bullish case | 8,700 in 12 months | Earnings growth sustains market gains |
Forecasts have different target dates and assumptions; they are scenarios, not guaranteed outcomes.
The bullish argument is that AI will eventually deliver substantial productivity improvements and create durable new markets.
The bearish argument is that investors have already priced in too much of that future success.
Both cannot be fully correct at current valuations, making upcoming corporate earnings and investment guidance especially important.
What an AI market crash could mean for Asia and the Philippines
Although the strongest warnings focus on US equities, an AI-driven Wall Street selloff could have significant consequences across Asian financial markets.
South Korea and Taiwan have major semiconductor and electronic-component industries that benefit from global AI demand.
A sudden reduction in technology spending could affect investor expectations for companies involved in chip manufacturing, memory production and electronics supply chains.
For the Philippines, the direct effect would depend on domestic stock exposure, capital flows and changes in global risk appetite.
A sharp US stock-market decline could potentially cause foreign investors to reduce exposure to emerging-market equities, including Philippine shares.
It could also create volatility in the peso, although currency movements would depend on several factors, including dollar strength, interest-rate expectations and investor demand for safer assets.
The country’s electronics exports and technology-related service industries could face indirect pressure if global technology investment slowed substantially.
These are possible transmission channels, not confirmed forecasts of losses for the Philippine economy.
The bigger question: How much AI growth has Wall Street already priced in?
The artificial intelligence revolution is producing real technological breakthroughs.
Demand for advanced chips, cloud services and enterprise AI tools has helped generate meaningful revenue growth for some of the world’s largest technology companies.
But technological progress does not guarantee that every company benefiting from investor enthusiasm will ultimately justify its valuation.
That distinction has become central to the current market debate.
Investors will be watching closely for signs that businesses are converting AI investments into sustained profits, rather than simply announcing increasingly ambitious spending plans.
Three developments could become particularly important in the months ahead: corporate earnings that fail to meet elevated expectations, reductions in planned AI capital expenditure, and further increases in bond yields.
Any combination of these pressures could undermine confidence in the technology stocks that have driven much of Wall Street’s rally.
For now, the S&P 500 remains close to record territory, and the most pessimistic forecasts remain scenarios rather than established outcomes.
But the concentration of market gains in a small number of AI-linked companies raises an uncomfortable possibility.
The next major stock-market crisis may not begin when artificial intelligence stops growing. It could begin when AI continues growing—but not fast enough to satisfy Wall Street’s expectations.
