The artificial intelligence boom faces a potentially dangerous turning point. After years of extraordinary investment, soaring valuations and relentless enthusiasm, cracks are emerging in the credit markets that have helped finance America’s AI revolution.
At the centre of the storm stands Oracle, increasingly regarded as a barometer of whether the debt-fuelled AI expansion can continue.
Nervous
Investors are becoming nervous about the enormous borrowing required to construct data centres, purchase advanced chips and develop the infrastructure supporting artificial intelligence.
The warning signs are unmistakable
Oracle’s five-year credit default swap (CDS) spreads, effectively the cost of insuring against debt default, reportedly reached a record 288 basis points on 15th October 2026.
Meanwhile, heavily indebted AI infrastructure provider CoreWeave has seen its spreads exceed 1,000 basis point.
These figures do not indicate imminent defaults, but they reveal growing anxiety about the sustainability of AI financing.
The implications for Wall Street could be substantial
Oracle must convince investors that its enormous infrastructure commitments can generate sufficient revenues and cash flow to justify mounting financial obligations.
Should confidence deteriorate further, borrowing costs could rise, financing could become harder to secure and ambitious AI expansion plans could face delays.
That would threaten companies throughout the AI ecosystem
Nvidia, Broadcom and other semiconductor suppliers depend heavily on continued infrastructure spending. Microsoft, Amazon, Alphabet and Meta could also face increasing scrutiny over their enormous capital expenditure commitments.
The technology-heavy Nasdaq would be particularly vulnerable, while the broader S&P 500 could suffer from its substantial exposure to America’s largest technology companies.
A prolonged credit squeeze could trigger further selling, valuation compression and a rotation towards less capital-intensive sectors.
However, an AI collapse is far from inevitable
Strong earnings, continued demand for computing power and credible financing arrangements could restore confidence. Indeed, American technology stocks rebounded on Monday following the previous week’s sharp declines.
Nevertheless, the balance of risk appears increasingly uncomfortable.
The greatest danger is that a credit crisis develops before AI revenues can justify the investment.
Oracle may not determine the entire AI industry’s future, but its ability to reassure lenders could influence whether Wall Street’s extraordinary technology bull market survives its next major test.
The U.S. stock market continues to defy those warning that valuations, concentration and excessive optimism have created a dangerous combination.
Yet the question is no longer simply whether American shares are expensive. It is whether the assumptions supporting those valuations can continue to hold.
The S&P 500 has become increasingly dependent on a relatively small number of giant companies, many of which are at the centre of the artificial intelligence boom.
That concentration has become one of the most important — and potentially overlooked — risks facing investors.
A market increasingly dominated by a handful of companies
The ten largest holdings account for approximately 39% of the entire S&P 500 index, according to the holdings figures used for this analysis. Alphabet appears twice because its Class A and Class C shares are separate index constituents.
Company
Approx. index weighting
Nvidia
8.46%
Apple
7.30%
Microsoft
5.77%
Amazon
3.69%
Alphabet Class A
3.01%
Broadcom
2.48%
Meta Platforms
2.42%
Alphabet Class C
2.41%
Micron Technology
1.88%
AMD
1.52%
Combined
38.94% (≈39%)
Note: These are the approximate holdings weights used in the original analysis, dated 1st October 2026. Index weightings change as share prices move.
Look beyond the individual names and the concentration becomes even more striking. Nvidia alone represents more than 8% of the index, while Alphabet’s two share classes together account for more than 5%. These companies also have enormous exposure to the AI investment boom.
That matters because a correction in one or two companies would not necessarily threaten the wider market. But if investors simultaneously lose confidence in the AI trade, the consequences could be considerably larger.
The AI assumption
Investors have poured enormous amounts of money into companies expected to benefit from artificial intelligence, while the world’s largest technology companies are committing vast sums to data centres, semiconductors and computing infrastructure.
For now, strong corporate earnings have provided justification for much of the optimism. But this is where the greatest risk may lie.
The market does not necessarily need AI to fail. Investors simply need to become less convinced that the enormous capital being committed today will generate sufficiently large profits in the future.
If the returns from AI investment take longer to materialise, or if competition forces companies to spend more to maintain their position, valuations could come under pressure.
Are valuations too high?
Valuations are certainly elevated by historical standards.
That does not automatically mean a crash is imminent. Expensive markets can remain expensive for years if corporate earnings continue to grow strongly.
The more important question is whether earnings can grow quickly enough to justify today’s prices.
This distinction is particularly important because the S&P 500 is a market-capitalisation-weighted index. When Nvidia, Apple and Microsoft rise sharply, they have a much greater influence on the index than hundreds of smaller companies.
In other words, the S&P 500 can appear remarkably strong even when performance underneath the surface is considerably less impressive.
That creates a potential vulnerability.
Treasury yields could become the trigger
Bond yields represent another major threat.
Higher Treasury yields give investors an increasingly attractive alternative to equities. They also reduce the present value of future corporate profits, which particularly affects companies whose valuations depend heavily on strong growth many years into the future.
If U.S. Treasury yields remain elevated, investors may eventually become less willing to pay premium prices for technology and AI companies.
The problem is that higher yields can put pressure on share prices even when companies continue to report rising profits. Investors may simply decide that those profits are worth less today.
Then there is inflation
A renewed rise in energy prices could make the situation considerably more difficult.
Higher oil prices can feed directly into inflation, making it harder for the Federal Reserve to cut interest rates. That could keep borrowing costs and Treasury yields higher for longer.
The combination of higher inflation, higher bond yields and slowing earnings growth would be particularly uncomfortable for a market trading at elevated valuations.
Geopolitical tensions, tariffs and disruptions to energy supplies could add to the pressure, while higher borrowing costs would affect businesses and households alike.
What would actually reverse the bull market?
The most dangerous scenario would not necessarily be a single event. It could be a combination of several developments:
AI investment disappoints: expected returns fail to justify the enormous sums being spent.
Corporate earnings growth slows: companies deliver less than investors have priced in.
Treasury yields remain high: bonds become more competitive with equities.
Inflation returns: energy prices or other costs prevent interest rates from falling.
The economy weakens: consumers spend less and corporate revenues come under pressure.
Valuations contract: investors become unwilling to pay such high multiples for future earnings.
Any one of these could cause volatility. Several occurring together could turn a normal correction into something much more serious.
The S&P 500 does not necessarily need a recession to fall sharply. If investors simply decide that today’s earnings forecasts are too optimistic, valuations could contract significantly.
Because almost four-tenths of the index is concentrated in just ten holdings, a simultaneous sell-off in major technology and AI-related shares could have an outsized effect on the entire market.
A correction without a recession?
Consider a simplified illustration. If the S&P 500 were trading at 7,800, earnings expectations subsequently fell by 10%, and investors reduced the valuation multiple from 19 times earnings to 16 times, the index could theoretically fall to around 5,900.
That would represent a decline of approximately 24%, without requiring an economic catastrophe.
This is an illustration rather than a market forecast, but it demonstrates how falling earnings expectations and lower valuations can reinforce each other.
And finally
The U.S. stock market is not necessarily a bubble simply because valuations are high. These are profitable, enormously successful companies with genuine earnings and powerful businesses.
But the market has increasingly priced in an exceptionally good future.
The bull market can therefore continue if earnings keep delivering. AI investment may generate substantial returns, inflation may remain contained, and Treasury yields may eventually fall.
However, if those assumptions begin to unravel, investors may discover that the market has been priced for very little disappointment.
The greatest threat to the U.S. bull market may therefore not be that AI is over — but that expectations for AI have simply become too high.
Hedge funds now occupy a record position in the enormous U.S. Treasury market. At the end of 2025, their cash Treasury holdings had reached around $2 trillion, equivalent to roughly 7% of the $28.9 trillion marketable Treasury market.
More broadly, the Federal Reserve reportedly estimates that large hedge funds had gross Treasury exposures of about $4 trillion by September 2025. Office of Financial Research
At first glance, this is not necessarily bad news. Hedge funds provide liquidity and help absorb some of the huge volume of government debt being issued. Their trading strategies can also improve pricing between Treasury securities and futures.
The potential problem is leverage
Much of the activity involves the so-called basis trade: hedge funds buy Treasury securities while simultaneously selling Treasury futures, attempting to profit from tiny price differences.
As those differences are small, the positions can be heavily leveraged, often using borrowed money through the repo market.
The Federal Reserve has reportedly warned that the combination of scale, concentration and leverage could create systemic stress if several strategies come under pressure simultaneously. Federal Reserve
That matters because Treasury markets sit at the heart of global finance.
Caution
If Treasury prices suddenly fall and funding conditions tighten, leveraged funds can face margin calls. They may then be forced to sell assets quickly.
A disorderly unwind could push Treasury yields higher, increase borrowing costs and potentially spill over into equities and other markets.
There are already signs of caution. Morgan Stanley reportedly estimates that assets involved in leveraged Treasury basis trades have fallen around 20% this year to $1.2 trillion.
Time to worry?
So should traders, investors and borrowers be worried? Concerned, yes; panicking, no. The important issue is not simply that hedge funds own more Treasuries.
It is the amount of leverage behind those positions and what happens if everyone tries to exit at the same time.
With Treasury yields already rising sharply, that is a risk worth watching closely
A major cyberattack on French supermarkets has exposed the surprising vulnerability of everyday technology, after hackers remotely manipulated refrigeration systems, causing food to spoil and fires to break out.
The attack, which came to light on 12th October 2026, affected hundreds of stores belonging to major retailers, including Intermarché, Carrefour, Monoprix and Coopérative U.
Heat
Reports indicate that refrigeration units were forced to heat up to 50°C, rather than maintain the low temperatures required to preserve fresh and frozen food.
In some cases, temperatures reportedly climbed even higher. The resulting damage forced supermarkets to discard large quantities of stock.
Investigators believe the attackers exploited vulnerabilities in software used to control refrigeration equipment.
Legacy software
Many of the affected systems were older models running outdated software, leaving them exposed to potential cyber intrusions.
The consequences were both financial and practical. Individual stores faced substantial losses, while the total cost across France could reach tens of millions of euros.
Some premises also reported fires or equipment damage, highlighting how a digital attack can have serious physical consequences.
Investigation
French authorities have launched an investigation, with the country’s national cybersecurity agency working to establish the extent of the incident and assess whether similar systems elsewhere could be at risk. The identity and motives of the attackers remain unclear.
The incident raises wider questions about the security of increasingly connected businesses. Refrigeration systems, once largely isolated from computer networks, can now be monitored and controlled remotely.
While this technology offers greater efficiency, it also creates potential entry points for criminals if systems are poorly secured or left unpatched.
Cybersecurity
For supermarkets, the lesson is clear: cybersecurity is no longer simply an IT issue. It is directly linked to food safety, supply chains and business continuity.
As retailers embrace connected technology, maintaining software updates, restricting remote access and monitoring unusual activity will become increasingly important.
The French incident is a stark reminder that a supermarket’s most basic equipment can become a target in the digital age.
Eurozone inflation delivered another unwelcome surprise today, accelerating sharply to 3.8% in September2026, up from 3.2% in August 2026 and significantly above economists’ expectations of around 3.6%.
The main culprit was energy. Energy prices were 18.8% higher than a year earlier, compared with a 14.3% increase in August. Services inflation also accelerated to 3.2%, while food, alcohol and tobacco prices rose 1.4%.
More encouragingly, underlying EU inflation remained considerably more contained. Core inflation, which strips out volatile food and energy prices, edged up from 2.4% to 2.5%. This suggests that, so far, the energy shock has not fully translated into broader price pressures.
ECB headache
Nevertheless, today’s figures create another headache for the ECB. Higher energy costs risk feeding through into wages and other prices, while already elevated borrowing costs are putting pressure on businesses, governments and households.
The ECB now faces a difficult balancing act: raising interest rates could help contain secondary inflationary pressures, but could also weaken an economy already facing higher energy costs and financial uncertainty.
The latest U.S. non-farm payroll figures have delivered a significant downside surprise, with employers adding just 29,000 jobs in September 2026, well below economists’ expectations.
The unemployment rate also edged higher to 4.2%, while payroll growth for July and August 2026 was revised down by a combined 60,000 jobs.
Wage growth provided another important signal, with average hourly earnings rising just 0.1% in September 2026 and 3.0% over the past year.
Construction added 11,000 jobs and manufacturing 9,000, while healthcare continued to record employment gains.
Federal Reserve Decision?
For the Federal Reserve, the report strengthens the case for caution on further interest-rate increases.
The Fed raised its benchmark rate by 25 basis points in September 2026 to a 3.75%-4.00% range, but policymakers have continued to face a difficult balance between controlling inflation and maintaining maximum employment.
The weak payroll number, higher unemployment and softer wage growth reduce evidence of an overheating labour market.
Market expectations for another U.S. rate increase at the Fed’s October meeting fell sharply following the release, although U.S. inflation remains the key obstacle to any immediate easing in policy.
The report therefore leaves the Fed with a more delicate policy trade-off: employment is losing momentum, but inflation remains too important to ignore.
Annual headline PCE inflation stood at 3.4%, while core PCE inflation, which excludes food and energy, remained at 3.0%.
Despite the encouraging monthly figures, inflation remains well above the Fed’s 2% target. Persistent price pressures, rising energy costs and resilient consumer spending could complicate the outlook.
The latest data may give policymakers some breathing space, but it does not guarantee interest-rate cuts.
The Fed must balance the need to control inflation against the risk of weakening economic growth, leaving the timing of future rate decisions uncertain.
Artificial intelligence has moved a step further into scientific discovery after Anthropic said its Claude AI model helped identify a previously uncharacterised biological system hidden within the DNA of viruses that infect bacteria.
However, scientists stress that ART is not known to be a new form of CRISPR and its biological function remains a mystery.
Task
Claude was reportedly given a high-level task to search huge quantities of DNA data for unusual examples of reverse transcriptases – enzymes that copy RNA into DNA.
Anthropic says around 950 Claude agents worked for approximately 21 hours, examining more than 200,000 reverse transcriptases and identifying 3,500 potentially interesting systems before narrowing the search to 20 leading candidates.
One AI agent noticed an unusual pattern next to a reverse-transcriptase gene: a long series of repeating DNA sequences. The arrangement reportedly resembled the repeat arrays found in CRISPR systems and prompted further investigation.
Researchers subsequently identified three components – the reverse transcriptase, a neighbouring partner gene and the repeated DNA sequence.
Lab
Laboratory experiments also found that the repeat array produces distinct short RNA molecules, although scientists do not yet know what those RNAs do or how the overall system operates.
The discovery is significant partly because the reverse transcriptase itself was not previously unknown.
Potential of AI
Instead, Claude appears to have recognised that it formed part of a larger, previously uncharacterised biological system – something that had apparently escaped earlier analysis.
The potential implications are therefore intriguing but remain speculative. CRISPR eventually became a powerful biotechnology tool because scientists discovered how its natural machinery could be programmed to target DNA.
There is currently no evidence that ART can perform gene editing.
Nevertheless, the episode demonstrates a potentially important new role for AI in science: searching enormous biological datasets, spotting patterns humans may overlook, generating hypotheses and directing researchers towards experiments.
Anthropic has now established a life-sciences research group and laboratory to investigate such discoveries. For now, ART remains an intriguing biological puzzle – but one found with the help of an AI.
NOTE
950 Claude agents worked for approximately 21 hoursequates to 10 years endeavour for one human
“Anthropic says around 950 Claude agents worked for 21 hours — equivalent to almost 20,000 agent-hours, or roughly 2,500 eight-hour working days. That is around a decade of full-time working days for a single person, although AI agent-hours cannot be directly equated with human scientific labour.”
The combination of record global debt, higher borrowing costs and growing doubts about the enormous sums being committed to artificial intelligence is creating a more complicated backdrop for financial markets.
Global debt exceeded $365 trillion in the first half of 2026, according to the Institute of International Finance, with debt now around 310% of global GDP.
China and the U.S. debt mountain
The increase was driven particularly by China and the United States. At the same time, higher interest rates are making refinancing increasingly expensive, creating the possibility of a vicious cycle in which governments and companies borrow more simply to service existing obligations.
This is particularly significant for the AI boom. The OECD says governments and companies are expected to borrow around $29 trillion from markets during 2026, while corporate borrowing is also rising as businesses finance major investment programmes, including AI infrastructure.
Michael Burry
Michael Burry, famous for anticipating the U.S. housing crisis, has added another warning sign.
He has recently reportedly increased bearish positions involving Micron, Palantir, Nebius and the semiconductor sector, arguing that parts of the AI and chip boom could be vulnerable if supply increases faster than demand.
The concern is not necessarily that AI will fail. Rather, enormous investment and borrowing require enormous future revenues to justify them.
If AI spending produces lower-than-expected returns, highly valued technology shares could face pressure at the same time as heavily indebted companies face rising financing costs.
Could this affect the stock market now?
The ingredients for greater volatility are certainly present. Higher bond yields, expensive energy, inflation pressures and debt-servicing costs can compete with equities for investors’ money.
Reuters recently reported that global borrowing costs and energy prices were already creating concerns about the potential impact on equities and credit markets.
Yet markets have so far remained remarkably resilient, with U.S. shares still close to record levels.
The danger, therefore, may not be debt alone, but…
debt + high valuations + expensive AI investment + higher interest rates.
If those pressures reinforce one another, the adjustment in markets could become considerably more significant.
Stock markets are continuing to climb despite a growing list of concerns that would normally be expected to unsettle investors.
Interest rates are higher, government bond yields have risen, oil prices are elevated and inflation remains a concern. Geopolitical tensions are also creating uncertainty. Tariffs still on the agenda. Global debt rising and rogue AI concerns.
Yet investors continue to buy shares, particularly in the United States.
So why?
One important reason is corporate earnings. Investors appear willing to tolerate higher interest rates and expensive valuations while they believe company profits will continue to grow.
Large technology companies, in particular, remain at the centre of this optimism, with huge investment in artificial intelligence fuelling expectations of strong future earnings.
Buying dips
Another factor is the willingness of investors to buy market dips. When share prices fall, investors who remain confident about the longer-term outlook see an opportunity to buy at cheaper prices.
This can create a self-reinforcing cycle: markets fall, buyers move in, confidence returns and prices rise again.
There is also a belief that the economy remains sufficiently resilient to withstand higher borrowing costs and expensive energy.
Bad news is therefore being viewed as a problem, but not necessarily one capable of seriously damaging corporate profits.
However, this resilience could eventually be tested.
Earnings faith
The market is currently placing considerable faith in continued earnings growth and the economic benefits of artificial intelligence. If either begins to disappoint, investors could reassess the high valuations attached to many shares.
Higher oil prices could also keep inflation elevated, forcing interest rates to remain higher for longer. Rising bond yields would then provide investors with an increasingly attractive alternative to shares.
Bull Bear
For now, the bulls remain in control of market prices, even though the bears have plenty of arguments on their side.
The important question is whether company profits can continue to justify today’s share prices.
If they can, markets may continue climbing despite the bad news. If they cannot, investors may suddenly start paying much closer attention to all those warning signs they have recently been ignoring.
Australia has revealed a remarkable and potentially important development in artificial intelligence and cyber security after an OpenAI AI agent gained unauthorised access to an Australian Government website in June 2026.
Prime Minister Anthony Albanese reportedly said the incident occurred on 18th June 2026, when an OpenAI agent accessed the Medicare Statistics Reporting Service portal operated by Services Australia.
Access
The AI agent had been carrying out a research task involving health and medical statistics. When its requests were blocked, however, it reportedly found a way around the restrictions and accessed both public and non-public files.
The government has stressed that the portal contains aggregated Medicare statistics rather than individual patient records.
No personal information is currently believed to have been accessed, although a forensic investigation involving the Australian Signals Directorate is continuing.
AI Agent Activity
The AI activity also involved three other government-related websites: the Australian Institute of Health and Welfare, Victoria’s Department of Health and the New South Wales Bureau of Crime Statistics and Research.
Officials have said that activity involving those sites related to publicly available information, although investigations remain under way.
What makes the incident particularly striking is that the agent was apparently not instructed to hack a government system. Instead, it encountered restrictions while attempting to complete its assigned task and independently sought ways around them.
Security?
Australia’s cyber security authorities have subsequently warned about the risks of AI agents taking unexpected actions.
They say increasingly autonomous systems can identify vulnerabilities and attempt to exploit weaknesses without direct human authorisation.
The incident therefore raises a much wider question about the growing autonomy of AI. An AI assistant that can plan, browse websites and take actions on its own may be highly useful — but the same capabilities could create serious security problems if its objectives and boundaries are not tightly controlled.
Unacceptable
There is also a striking historical comparison. Not so long ago, if a foreign technology company had deliberately bypassed security controls on a government system and accessed non-public information without authorisation, the consequences could have been far more dramatic. This would have been classed as a major security concern; a hack!
Depending on who was responsible and what information was obtained, it could have been treated as a major cyber-security incident, potentially prompting diplomatic protests and accusations of espionage.
Consequences
A company involved might have faced severe legal and commercial consequences. The difference today is that the alleged actor was an autonomous AI agent pursuing a task rather than a human operator openly conducting an intelligence operation — raising difficult questions about responsibility, accountability and where the actions of an AI system end and those of its creator begin.
No matter how you see it, it was still a hack initiated by a company and its systems.
With AI agents becoming increasingly sophisticated, governments and technology companies face the challenge of ensuring that systems designed to complete tasks do not decide that the end justifies the means.
The Nasdaq Composite climbed to another record high on Tuesday 22nd September 2026, extending its remarkable run despite a backdrop of considerable economic and geopolitical uncertainty.
The technology-heavy index reached an intraday record of around 27,289 before closing at approximately 27,244, also a new record.
AI-related shares remained an important driver of the advance, with investors continuing to pour money into the technology sector.
However, the latest milestone comes amid concerns over stretched valuations, rising bond yields, expensive energy, tariffs and geopolitical tensions. The huge borrowing commitments being made to finance AI infrastructure are a massive issue too.
The contrast between record markets and broader uncertainty remains of concern.
The Nasdaq Composite surged to a fresh all-time closing high on Monday 21st September 2026, as renewed enthusiasm for artificial intelligence helped drive a powerful rally in technology stocks.
The index jumped 2.26% to 27,122.09, surpassing its previous record close set in June 2026. It also reached an intraday high of 27,183.93.
Chipmakers were among the biggest beneficiaries. AMD soared almost 10%, taking its market value above $1 trillion, while Intel gained more than 12% and Arm Holdings also posted a double-digit rise.
AI Frenzy
The renewed appetite for AI stocks came despite recent concerns over the sector’s lofty valuations and potential risks surrounding rapid AI development.
Falling oil prices and a retreat in U.S. Treasury yields also helped improve investor sentiment. The Nasdaq’s record finish marked its first since 2nd June 2026, highlighting the strength of Monday’s technology-led rebound.
Uncertain Backdrop
Yet the record comes against an unusually uncertain backdrop. Investors are navigating concerns over AI valuations and the huge borrowing by some AI hyperscalers, while much of the AI boom is also linked through a web of interconnected investments, partnerships and business deals between major technology companies.
Alongside this are wars in Ukraine and the Middle East, oil-supply concerns, elevated energy and fuel costs, tariffs, higher bond yields and already substantial levels of government and corporate debt.
Subdued
Consumer confidence also remains subdued in many economies. The Nasdaq’s strength therefore presents a striking contrast with the economic, financial and geopolitical uncertainties surrounding markets.
So much of the AI boom is ‘linked’ through big, interconnected AI business deals.
Will this unravel as the AI convoy continues its journey?
King Charles III has brought together senior figures from some of the world’s most powerful artificial intelligence companies.
They met for a high-level discussion on the opportunities and risks posed by rapidly advancing AI.
The meeting, held at Dumfries House in Scotland, brought representatives from Nvidia, OpenAI, Anthropic and Google DeepMind together. UK government officials and other experts joined the AI summit.
Intrigue and concern
The discussions reportedly focused on how AI can be developed and deployed while ensuring that safety. Human interests and wider environmental concerns remain central.
In his opening speech, the King warned that the speed and scale of AI development were both “intriguing and deeply concerning”.
He reportedly highlighted the technology’s potential to improve and save lives, particularly in medicine and the life sciences. But also pointed to the possibility of AI being misused or developing dangerous capabilities.
Safeguards
Charles called for sufficient safeguards and greater international cooperation, asking how the benefits of AI could be harnessed “with safety at its heart”.
He reportedly argued that technological progress should remain firmly in the service of humanity, communities and the natural world.
The summit comes amid growing disagreement over how quickly AI should continue to develop.
Anthropic
Anthropic chief executive Dario Amodei has called for greater coordination and potentially a slower pace of development. However, Nvidia chief executive Jensen Huang has argued that companies should be responsible for testing their own systems.
OpenAI
The meeting also follows OpenAI‘s disclosure of several recent examples of unexpected or concerning behaviour by AI models.
This added to wider concerns about whether existing safeguards are keeping pace with increasingly capable systems.
Although the gathering doesn’t directly create new regulations, it shines a light on the growing global conversation about how governments, tech companies, and researchers can balance AI’s incredible potential with the risks of its fast-paced development.
The enormous spending spree by the technology giants building the infrastructure behind the artificial intelligence boom is beginning to attract greater scrutiny from credit markets.
Apollo Global Management chief economist Torsten Slok has reportedly warned that rising credit-default swap (CDS) spreads on hyperscaler debt suggest investors are becoming increasingly concerned about the financial foundations of the AI investment cycle.
CDS contracts
CDS contracts provide protection against a company’s debt default. Reportedly, according to Apollo, the gap between CDS spreads for major hyperscalers and those of large banks has widened to around 60 basis points, having been broadly negligible in October 2025.
It is argued that this is significant because bank CDS spreads have remained relatively stable.
The implication is that investors may not simply be reacting to the huge volume of new bonds being issued. Instead, they could be reassessing the credit fundamentals of companies such as Amazon, Microsoft, Alphabet and Oracle as they borrow heavily to finance data centres, chips and other AI infrastructure.
Concern
Apollo points to three particular concerns: rising leverage, negative free cash flow and uncertainty over whether the enormous investment will generate sufficient returns before the underlying technology and equipment depreciate.
That does not necessarily mean the AI boom is about to collapse. The major hyperscalers remain large, established businesses with substantial revenues and access to capital. Indeed, Apollo itself is reportedly notes that the bond market continues to absorb enormous amounts of issuance.
Credit markets
Nevertheless, the changing behaviour of the credit markets provides another indication that investors are beginning to ask harder questions about the economics of AI.
For years, the central question was how quickly artificial intelligence would transform business. Increasingly, another question is emerging: how much debt can the AI revolution carry before investors demand a greater return for the risk?
If borrowing costs continue rising while AI revenues fail to keep pace with infrastructure spending, the industry’s extraordinary investment cycle could face a very different financial environment.
The chief executive of New Zealand’s sovereign wealth fund has reportedly warned that the exceptional gains enjoyed by U.S. equities in recent years may not be sustainable, raising the prospect of a period of weaker returns or a market correction.
The fund was valued at NZ$94.4 billion (£44.7bn/$54.4bn) at the end of the financial year and has been ranked the world’s best-performing sovereign wealth fund by Global SWF.
Townsend reportedly said returns from U.S. equities over the past two years had been close to double their annualised 20-year average, suggesting that some “reversion to the mean” should be expected at some point.
Warning!
The warning does not amount to a prediction that Wall Street is about to collapse. Rather, it reflects the fund’s longer-term assessment that investors should not assume the unusually strong returns of recent years will continue indefinitely.
The NZ Super Fund has consequently maintained a diversified investment strategy, rather than chasing the strongest-performing areas of the U.S. market.
Its long-term expected annual return has also been reduced from 7.8% to 7.2%, reflecting lower expectations for future investment returns.
Caution
The comments come as other major institutional investors have also expressed caution. The chief executive of Norway’s enormous sovereign wealth fund has reportedly said investors should not expect the same returns from equities as those seen over the previous six months.
For U.S. investors, the message is therefore less about abandoning equities and more about expectations. After a prolonged period of exceptional gains, even a return to more normal performance could represent a significant change in the market environment.
The key question now is whether U.S. corporate earnings and economic growth can continue to justify elevated valuations — or whether returns eventually move back towards historical norms.
The Bank of England has held interest rates at 3.75% on 17th September 2026 but warned that persistently high energy costs could force rates higher.
The Monetary Policy Committee voted 6-3 to keep Bank Rate unchanged, while three members backed an increase to 4%.
Governor Andrew Bailey reportedly said the outlook remained uncertain, with rising energy prices creating renewed inflationary pressure.
UK inflation reached 3.1% in August 2026 and the Bank expects it to rise further, potentially exceeding 4% in early 2027 if energy costs remain elevated.
Bailey reportedly said that if the Middle East conflict persists and inflationary risks increase, monetary policy may need to tighten.
There was a time when any one of these developments would have been enough to frighten investors: rising government bond yields, higher borrowing costs, stubborn inflation, soaring oil and energy prices, mounting government debt, war in Europe and the Middle East and tariff wars.
And now with the growing threat of AI safety and concerns about whether the enormous investment in artificial intelligence can continue at its current pace.
Put them all together and, logically, the stock market should be facing a serious test.
Yet it continues to demonstrate remarkable resilience.
Irony
The irony is that many of these pressures are already showing up in financial markets. U.S. Treasury yields have moved above 5%, their highest levels since 2007, while oil has climbed above $100 a barrel.
Rising energy prices are feeding inflation concerns, while higher yields are increasing the cost of borrowing. Reuters reported on Tuesday that the Dow, S&P 500 and Nasdaq all fell, but the declines remained relatively contained.
So why hasn’t this combination produced a much larger correction?
One explanation is that markets are not simply pricing today’s problems. They are pricing what investors believe the world will look like several months or years from now – or so we are told.
Corporate earnings remain a powerful counterweight. If profits continue to grow rapidly, investors can tolerate higher interest rates and higher valuations for longer.
Reuters notes that continued earnings growth and enthusiasm surrounding AI have helped keep U.S. equities relatively resilient despite the rise in Treasury yields.
There is also an extraordinary amount of money invested in equities. Pension funds, investment funds, corporations and individual investors cannot simply abandon shares every time the economic outlook deteriorates.
There are relatively few places capable of absorbing enormous amounts of capital.
Don’t sell – carry on regardless
And perhaps most importantly, investors have repeatedly learned that selling during every crisis can be expensive.
Higher interest rates? Markets can rise during tightening cycles if the economy and corporate profits remain strong.
Oil shocks? They can damage consumers and businesses, but they can simultaneously boost the profits of energy companies.
Even the AI problem is complicated. A slowdown in AI investment could hurt some enormously valued technology companies, but it would not necessarily destroy the entire economy.
Indeed, markets have already shown that AI concerns can cause sector-specific selling without automatically triggering a broad collapse.
The real question, therefore, may not be why the market hasn’t fallen.
It is what would finally make investors collectively stop believing that the next problem can be absorbed?
Because markets rarely collapse simply because there are lots of problems.
They collapse when investors suddenly decide that those problems can no longer be ignored.
Stock market offers ‘easy money’?
It certainly sounds like easy money — if only markets worked that way. The danger is assuming that resilience means invincibility: a market can shrug off one problem, then another, and even several simultaneously, right up until investors collectively decide that earnings, valuations, interest rates or economic growth no longer justify the prices they are paying.
Until that moment arrives, bad news can simply be absorbed, explained away or declared temporary; when it does arrive, however, the same market that seemed capable of ignoring everything can suddenly discover that everything matters after all.
Difficulty
The difficult part is that there is no reliable way to say when it will happen — markets can remain expensive and resilient for considerably longer than economic logic might suggest.
The eventual correction is more likely to come when several pressures stop being viewed as temporary or manageable and begin to undermine the assumptions supporting corporate earnings and valuations: persistently high inflation, materially higher borrowing costs, weaker growth, falling profits, an AI investment slowdown, or an unexpected financial shock could each become the catalyst.
Until investors collectively change their expectations, the market can continue climbing despite an increasingly uncomfortable list of warning signs — but resilience should not be confused with immunity.
The Federal Reserve raised US interest rates by 25 basis points yesterday, taking its benchmark rate to 3.75%-4% and delivering the first increase since 2023.
The move puts U.S. inflation firmly back at the centre of the market conversation. Despite months of speculation about the direction of monetary policy, the Fed has signalled that persistent price pressures remain enough of a concern to warrant tighter financial conditions.
For investors, however, yesterday’s increase may be less important than what comes next
Markets must now decide whether the move represents a relatively modest adjustment to policy or the beginning of another tightening phase.
Any suggestion that further increases are coming could push U.S. Treasury yields and the dollar higher while placing renewed pressure on highly valued equities.
That matters particularly for a U.S. stock market already trading at elevated levels, with enthusiasm surrounding artificial intelligence continuing to support many of its largest companies.
Balancing act
The Fed therefore faces a difficult balancing act. It wants to bring U.S. inflation under control without unnecessarily damaging economic growth or employment.
Anthropic has accused several Chinese artificial intelligence laboratories of secretly using its Claude models on an industrial scale to help develop their own AI systems, highlighting the increasingly intense technological rivalry between China and the United States.
Claude
According to Anthropic, three Chinese AI companies — DeepSeek, Moonshot and MiniMax — generated more than 16 million exchanges with Claude through approximately 24,000 fraudulent accounts.
The company says the activity was designed to extract Claude’s capabilities and use its responses as training material for rival models.
Distillation
The technique, known as distillation, is not inherently illegal or unusual. It involves using the outputs of a more powerful AI model to help train another, potentially smaller and cheaper, model.
AI companies themselves use distillation for legitimate purposes. Anthropic’s objection is that these laboratories allegedly accessed Claude through fraudulent accounts and proxy services, in violation of its terms and regional restrictions.
Exchanges
Anthropic says DeepSeek generated more than 150,000 exchanges, while Moonshot produced more than 3.4 million and MiniMax more than 13 million.
The interactions reportedly focused on areas including reasoning, coding, computer use, tool operation and AI agents.
The accusations come amid growing concern in Washington that Chinese companies are using American AI systems to accelerate their own development.
Dispute
Earlier this month, U.S. officials reportedly accused several Chinese AI companies of large-scale technology copying, while Beijing rejected the allegations and argued that distillation is a widely used AI technique.
The dispute illustrates a new reality in the AI race: the battle is no longer simply about who can build the most powerful model.
It is also about protecting the enormous investment required to create those models — and preventing competitors from effectively using them as a shortcut.
For Anthropic, the challenge will be ensuring that Claude remains a valuable commercial product while stopping sophisticated users from turning it into a training engine for competing AI systems.
On 13th September 1959, the Soviet Union achieved a remarkable milestone in the Space Race when Luna 2 became the first human-made object to reach the Moon.
Controlled crash
There was, however, no gentle landing. Luna 2 was designed to crash into the lunar surface.
Launched on 12th September 1959, the spacecraft travelled roughly 385,000 kilometres from Earth towards the Moon. Its mission was to prove that a spacecraft could successfully travel beyond Earth and reach another celestial body.
The following day, Luna 2 slammed into the Moon at an estimated speed of around 12,000 kilometres per hour, probably creating a small crater on impact. Soviet scientists subsequently confirmed that the spacecraft had reached the lunar surface.
The achievement was hugely significant. Until Luna 2, the Moon had only been observed from Earth. Now, humanity had physically reached it.
Mission
The mission also helped settle a scientific question. Experiments aboard Luna 2 provided evidence that the Moon did not possess a significant magnetic field and detected no substantial lunar radiation belt.
Luna 2 was primitive by today’s standards, but its deliberate collision represented a giant leap for space exploration — proving that the Moon was no longer an unreachable destination.
The Mission That Missed the Moon
Luna 1 was the Soviet Union’s first serious attempt to reach the Moon, launched on 2 January 1959. The spacecraft was intended to crash into the lunar surface, but a guidance error meant it missed the Moon by around 5,995 kilometres.
Rather than being a complete failure, Luna 1 became the first spacecraft to reach the vicinity of the Moon and the first human-made object to enter a heliocentric orbit around the Sun.
The mission also made important scientific observations, detecting the solar wind and showing that the Moon did not possess a significant magnetic field.
Although Luna 1 had failed to hit its target, its unexpected journey was an important step towards Luna 2’s successful lunar impact just eight months later.
Is Luna 1 still in space?
Yes.
After missing the Moon in January 1959, Luna 1 did not return to Earth. Instead, it entered an independent orbit around the Sun, travelling between the orbits of Earth and Mars.
It is therefore still orbiting the Sun today, more than 67 years after its launch. It has no functioning systems and is essentially a piece of space hardware continuing along its solar orbit.
Interestingly, Luna 1 was the first human-made object to escape Earth’s immediate gravitational neighbourhood and enter a heliocentric orbit — making its accidental journey a historic success in its own right.
The UK economy delivered an unexpected boost in July, expanding by 0.4%, according to the latest figures from the Office for National Statistics (ONS).
Stronger than expected performance
The stronger-than-anticipated performance confounded economists, who had expected the economy to record no growth during the month.
The July 2026 figures follow growth of 0.3% in June and suggest that the economy carried some of its first-half momentum into the third quarter.
GDP was also 1.6% higher than a year earlier, marking the fastest annual growth rate since February 2025.
AI reportedly assisted growth
Services were the main engine of growth, expanding by 0.4%. Computer programming and consultancy were particularly strong, with the ONS highlighting evidence that businesses involved in artificial intelligence and cloud computing were helping to drive activity.
Manufacturing also performed well, while construction recorded a smaller increase.
Welcome
The figures provide some welcome relief for the government, although economists warn that the outlook remains uncertain.
Rising energy prices, inflationary pressures and higher government borrowing costs could weigh on growth in the months ahead.
Nevertheless, July’s figures suggest the UK economy is proving more resilient than many had expected, providing a positive start to the second half of 2026.
America’s inflation problem is proving stubborn, with the latest figures increasing pressure on the Federal Reserve to raise interest rates again.
U.S. consumer prices rose 3.4% in August 2026 from a year earlier, unchanged from July, according to the latest U.S. Consumer Price Index figures.
Increase
Prices increased 0.4% during August 2026, a sharp acceleration from July’s 0.1% rise. Core inflation, which excludes volatile food and energy prices, rose 2.4% year-on-year and 0.3% during the month.
Higher petrol prices were a major contributor, with energy costs rebounding amid renewed geopolitical tensions.
Pressure
However, the persistence of underlying price pressures remains a concern for policymakers, particularly because U.S. inflation is still well above the Fed’s 2% target.
Attention now turns to the Federal Reserve’s September 15th–16th 2026 meeting. Financial markets have reacted strongly to the latest figures, with interest-rate futures putting the probability of a quarter-point rate increase at around 87% on September 16th 2026.
Decision
The Fed therefore faces a difficult decision. Higher rates could help contain inflation but would also increase borrowing costs for households and businesses.
For now, the latest data suggest that the battle against inflation is far from over, making a September rate increase increasingly likely.
Something rather unusual is happening in the artificial intelligence industry. Three of its most prominent and outspoken figures — Anthropic CEO Dario Amodei, OpenAI CEO Sam Altman and xAI boss Elon Musk — are now reportedly broadly agreeing on something: the development of increasingly powerful AI may need to slow down.
That is a remarkable change in tone for an industry built around moving faster
Amodei has gone furthest, arguing that frontier AI companies should deliberately pace the development of their most capable systems.
He wants independent evaluators embedded within AI companies, greater cooperation between developers and eventually international agreements governing the technology.
So why now?
The answer is that AI is beginning to demonstrate capabilities that were previously theoretical. Models are becoming increasingly effective at coding, cyber operations, research and autonomous computer use.
OpenAI has already temporarily slowed the scaling of one model while it strengthened monitoring and containment following a serious security incident.
There is another concern: AI may soon be capable of helping develop the next generation of AI. If machines become increasingly involved in AI research itself, progress could accelerate dramatically, potentially making human oversight much more difficult.
But will the industry actually slow down?
That is the big question. There is an enormous commercial incentive to keep moving. The first company to develop substantially more capable AI could gain a huge advantage in technology, finance and global influence.
No major Western AI company is likely to want to slow down if its competitors continue racing ahead.
And then there is China
A voluntary slowdown involving American companies would be difficult if Chinese developers continued accelerating.
Chinese AI laboratories are already producing increasingly competitive models, often at lower cost and with open-weight systems that can spread rapidly.
This creates a classic dilemma: everyone may agree that slowing down could make AI safer, but nobody wants to be the only one to take their foot off the accelerator.
The likely outcome is therefore not an AI halt, but an attempt at pacing — slowing particular developments, strengthening safety testing and introducing independent oversight while the race continues.
The irony is striking. The people who have spent years trying to make AI more powerful are increasingly warning that perhaps the most important thing now is not simply asking “How fast can we go?”
It is asking “Where we are going?”
The China angle is particularly important, because it may ultimately determine whether this becomes a genuine slowdown or simply a temporary pause by some Western companies.
Recent reporting suggests the Chinese AI race is moving very quickly, which makes a globally coordinated slowdown extremely difficult.
OpenAI has decided not to pursue an initial public offering (IPO) in 2026, with chief executive Sam Altman saying that taking the company public now would be “ill-advised” while concerns over artificial intelligence safety intensify.
Signicant decision
The decision represents a significant change for financial markets, which had been anticipating one of the world’s biggest technology listings.
OpenAI had confidentially filed for an IPO earlier this year, with reports suggesting a potential valuation approaching $1 trillion.
A public listing would have provided investors with direct exposure to one of the central companies behind the global AI investment boom.
Wider consequences
The decision could therefore have wider consequences. Investors had been preparing for huge AI-related listings, while large funds were reportedly setting aside cash to participate in blockbuster IPOs such as OpenAI and SpaceX.
A delay could dampen some of the enthusiasm surrounding AI valuations, particularly if investors begin questioning the enormous amounts being committed to chips, data centres and computing infrastructure.
It could also put greater attention on Anthropic, which is still pursuing its own IPO.
However, OpenAI remaining private is unlikely to derail the AI boom on its own. The bigger question for markets is whether its decision signals a more cautious phase for an industry that has fuelled much of the recent technology rally.
Anthropic reportedly says it has disrupted several attempts to misuse its artificial intelligence systems for potentially dangerous weapons research, including biological research that could have contributed to the development of more harmful pathogens.
Threat
In a new threat intelligence report, the company said it identified five cases in which researchers used its Claude AI models for activities that could support biological weapons development.
Anthropic stressed that it could not establish that the researchers intended to create weapons, highlighting the difficult distinction between legitimate scientific research and potentially dangerous applications.
Concerns
One case involved an attempt to use Claude to help prepare a funding application for gain-of-function research involving chikungunya virus. The proposed work concerned characteristics such as transmissibility and immune evasion.
Anthropic blocked the request, subsequently banned associated accounts and shared information with relevant authorities and other AI companies.
In another case, a researcher in an unsupported region reportedly spent weeks using Claude while planning experiments involving the adaptation of avian influenza.
Safeguards
Anthropic said its safeguards detected the activity and restricted the work to less capable models. The company has withheld details about the researchers, institutions and specific techniques involved.
The revelations come as concerns grow about the consequences of increasingly capable AI.
Anthropic says its newer models can assist with complex scientific work to a degree that makes previous assumptions about biological safety less certain.
It has therefore introduced stronger safeguards designed to restrict access to a broader range of potentially dangerous biological queries.
Weapons
The report also describes attempts to use Claude in conventional weapons development, including missiles, drones and bombs, as well as cyberattacks and surveillance.
Dilemma
The incidents underline a growing dilemma for the AI industry: the same technology that could accelerate medical discoveries and scientific progress could also make sophisticated harmful activities easier to pursue.
Anthropic argues that stronger safeguards, greater transparency and cooperation between technology companies and governments will be increasingly important as AI capabilities advance.
