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June 27, 2026

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The artificial intelligence boom has long been pitched as a transformative force that would boost productivity and eventually lower costs across the economy.

But this week, investors were confronted with a less discussed consequence of the AI race: higher prices.

Apple and Microsoft both announced product price increases on Thursday, citing soaring costs for memory and storage technologies that have become increasingly scarce as technology giants pour hundreds of billions of dollars into building AI infrastructure.

The moves reinforced growing concerns that, at least in the short term, AI may prove inflationary rather than disinflationary.

“Apple and Microsoft’s price rises have struck at the market’s fear of inflation, raising worries that, far from being deflationary, the AI boom might be inflationary, particularly for the hard-pressed consumer, hurting rather than aiding economic growth,” Chris Beauchamp, chief market analyst at IG, said.

Memory shortages hit consumer electronics

Apple raised prices on several MacBook and iPad models by between $100 and $300, though it left iPhone prices unchanged.

“The rapid expansion of AI data centers has created an extraordinary surge in demand for memory and storage. We have never seen a component price increase this much, this quickly,” Apple said in a statement.

The company added that it had “reached a point where we need to begin raising prices on a number of products,” while indicating that additional increases remain possible.

The market reaction was swift. Apple shares tumbled 6%, their worst single-day decline in more than a year.

Microsoft announced similar measures.

The software giant said prices of Xbox consoles would rise globally, with increases of $100 for 512-gigabyte models and $150 for one-terabyte versions effective Aug. 1.

The company also said it would discontinue its two-terabyte Xbox model.

The moves added to a growing list of technology manufacturers raising prices this year.

Dell, HP, Lenovo and Asus have all flagged higher prices, while Samsung increased prices on two variants of its Galaxy S26 smartphones in the United States by $100.

Shortage of memory chips and ‘chipflation’ fears

The price increases stem from an unprecedented shortage of memory chips.

Memory and storage components have become critical ingredients in the AI boom as hyperscalers race to build increasingly powerful data centres.

Suppliers have shifted production toward high-bandwidth memory chips used in AI servers, leaving consumer electronics manufacturers scrambling for supplies.

“The four largest US technology companies are forecast to spend $725 billion on data centers and AI equipment in 2026 alone. That level of demand for memory chips has created a shortage the supply chain cannot keep pace with,” said James Bull at RSM UK.

Bull said it had become increasingly evident that the costs of building the AI economy were being passed on to consumers and potentially to the broader inflation outlook.

Morgan Stanley analysts warned earlier this month that soaring memory prices could trigger “chipflation” across industries.

The brokerage said memory chip prices had risen six-fold over the past year.

“What began as an AI infrastructure bottleneck is now spreading into hardware margins, device affordability, cloud costs, inflation and policy,” the bank wrote in a note.

Areas where AI infrastructure is creating new inflation pressures

Some economists believe the inflationary impact of AI extends beyond semiconductors.

According to an April note by JPMorgan Asset Management’s Chief Global Strategist David Kelly, the enormous spending wave tied to AI development is likely to be inflationary in the near term rather than deflationary because demand is hitting the economy well before productivity gains materialise.

Kelly acknowledged that rising memory-chip prices are one channel through which AI investment could feed into higher prices, but said they do not yet represent a major source of economy-wide inflation.

Instead, he pointed to other emerging pressures. One of the clearest examples is electricity demand.

“One aspect of this demand is spending on electricity. After more than a decade of no growth, US electricity production rose by 2.5% in 2024, 2.4% in 2025 and was up by 3.0% year-over-year in March of 2026,” he said, noting that much of the increase was driven by data centre consumption and the growing use of AI models for training and inference.

Kelly said this likely contributed to a 4.6% year-over-year increase in consumer electricity prices in March.

However, because electricity carries a weight of only about 2.5% in the consumer price index basket, higher power costs accounted for just 0.1 percentage point of March’s 3.3% annual rise in headline inflation.

The construction boom linked to AI data centres is also creating labour pressures.

Construction workers saw wages rise 4.3% year-over-year in March, outpacing the 3.5% increase recorded across the broader private sector.

However, Kelly said this acceleration was probably driven more by labour shortages than by AI itself.

The total number of US construction workers increased only 0.7% over the past year, partly reflecting a sharp reversal in immigration trends in a sector that has historically relied heavily on immigrant labour.

AI productivity gains could eventually ease inflation, economists say

Kelly, however, said it was unlikely that most corporations had so far realised significant cost savings from deploying the latest AI models and even less likely that any savings had been passed on to consumers.

“There is a small but growing number of layoff announcements explicitly attributed to AI and there are some signs of diminished hiring of entry-level workers in the most AI-exposed industries,” he said.

He added that fears that AI will “take your job” could also be making workers more cautious, with economywide year-over-year wage growth falling to an almost five-year low in March.

However, more recent data from global outplacement firm Challenger, Gray & Christmas suggests AI’s impact on employment is becoming more pronounced, though.

US-based employers announced 97,006 job cuts in May, with artificial intelligence accounting for roughly 40% of all layoffs announced during the month.

It marked the third consecutive month in which AI was the leading reason cited for job reductions.

“Despite this labor market ‘scare’ effect, however, it does appear that AI is, on balance, adding slightly to inflation in the short run, although it will be far from the most important inflation driver. If this continues to be the case, over say, the next two years, then this alone would negate the idea that a disinflationary impulse from AI supports the need for short-term interest rate cuts,” Kelly said.

He expects AI to become a powerful disinflationary force over the longer term as productivity gains begin to emerge and spread across the economy.

Goldman Sachs has echoed that assessment, saying AI is currently adding to inflationary pressures even though it should ultimately lower production costs and lift economic growth.

“We expect artificial intelligence to deliver large productivity gains over the next several years, boosting the economy’s potential growth rate and putting downward pressure on production costs. So far, however, AI is boosting US inflation,” Goldman Sachs economists wrote last month.

The post Apple and Microsoft hike prices due to memory: is AI becoming an inflation machine? appeared first on Invezz

A growing chorus of China’s most influential hedge fund managers is sounding the alarm on what they describe as a dangerously overheated global AI trade.

After an explosive run-up in semiconductor and model‑development stocks from Seoul to Silicon Valley, several of Beijing’s money managers now argue the rally has detached from fundamentals – and that the first cracks are already visible.

Veteran managers are now calling AI a super bubble

Two of China’s best‑known hedge funds – Wealspring Asset and Shanghai Banxia Investment Management – have issued unusually blunt warnings that the AI boom has entered bubble territory, said a Bloomberg report.

Wealspring, founded by Yang Dong, who famously called China’s 2007 market top, told investors that global AI equities now resemble a “super bubble” inflated by momentum rather than durable business models, Bloomberg reported, citing an investor letter.

The firm, which oversees more than $1.4 billion, said many Chinese AI infrastructure companies lack defensible moats and rely on relentless capital expenditure to maintain growth.

In its view, valuations have been pushed to extremes by “brainless buying,” echoing the speculative frenzy of China’s 2015 bull market.

Wealspring cautioned that some of the most popular domestic AI names could ultimately fall more than 80% once sentiment turns.

Concerns extend beyond China, with Anthropic in focus

Banxia – which manages about $294 million – argues that the warning signs are “not” confined to China’s onshore markets.

The firm points to slowing revenue momentum at Anthropic PBC, one of the most closely watched US AI startups, as evidence that the global narrative of unstoppable growth is beginning to fray.

Banxia believes Anthropic’s annualized revenue run‑rate may undershoot market expectations as enterprise clients balk at soaring token costs and as rival model developers intensify competition for developers.

The fund also highlights a broader risk: that the AI ecosystem’s blistering revenue assumptions are colliding with the reality of rising infrastructure costs and tightening corporate budgets.

For Banxia, these pressures represent the early stages of a sentiment shift that could ripple across global AI valuations.

A booming market – and the cost of staying cautious

Despite the warnings, AI stocks have delivered extraordinary gains in 2026. China’s CSI Artificial Intelligence Index is up more than 35% year‑to‑date, far outpacing the 5% increase in the country’s main benchmark.

Overseas, the rally has been even more dramatic: South Korea’s Kospi has surged nearly 100% this year, powered by SK Hynix and Samsung Electronics – both beneficiaries of unprecedented demand for high‑bandwidth memory used in AI data centers.

Yet the very funds urging caution have paid a short‑term price for staying on the sidelines.

Wealspring’s Zhiyuan fund and Banxia’s low‑volatility macro strategy have posted small losses in early 2026, even though both remain strongly profitable over longer horizons.

Banxia founder Li Bei insists the discipline is worth it, advising investors to resist the temptation to chase parabolic AI trades and to prepare for a potential correction that could reset valuations across the sector.

The post Why China's top money managers believe the AI bubble is about to pop appeared first on Invezz

Ripple has reported a sharp increase in tokenised assets issued on the XRP Ledger, highlighting growing institutional interest in blockchain-based financial products even as XRP continues to face pressure in the broader cryptocurrency market.

The value of tokenised real-world assets (RWAs) on the XRP Ledger rose from about $5 million at the start of 2025 to more than $118 million, according to Ripple.

The increase represents growth of approximately 2,260% in a matter of months, making it one of the fastest expansion rates among enterprise-focused public blockchains.

The developments come as XRP trades at $1.05 after gaining 0.5% over the past 24 hours.

The token has recovered above the key $1.00 support level, with daily trading volume of about $2.47 billion.

Tokenised assets continue expanding on the XRP Ledger

Ripple’s latest report, prepared together with Token Relations, points to increasing adoption of the XRP Ledger for tokenising traditional financial assets.

The report indicates that institutions are increasingly issuing blockchain-based versions of traditional financial products rather than focusing exclusively on crypto-native applications.

The tokenised assets include products linked to US Treasuries, commodities, real estate and other financial instruments.

The jump from roughly $5 million to more than $118 million in tokenised assets demonstrates how quickly activity has accelerated on the network.

Ripple has continued positioning the XRP Ledger as infrastructure for financial institutions seeking faster settlement and lower transaction costs when issuing digital versions of traditional assets.

XRP price outlook

Despite the positive developments surrounding tokenisation, XRP has continued to experience selling pressure over recent weeks.

Although the token has gained 0.5% over the past 24 hours, it remains down 7.6% over the past seven days, 20.8% over the past month and 50.2% over the past year.

XRP currently trades about 71.3% below its all-time high of $3.65, which was recorded in July 2025.

Technical analysis indicates that XRP is still trading inside a descending price channel that has dominated its price action for several months.

XRP price analysis

Technical indicators suggest that the $1.00 level has become XRP’s most important support zone.

A sustained move below that level could expose XRP to additional downside toward the $0.60 region, which represents the next significant area of historical demand.

On the upside, $1.10 has now become the first major resistance after previously acting as support.

Traders would likely watch any move above that level for signs that bearish momentum is easing.

The analysis also notes that XRP remains below both its 100-day and 200-day moving averages, indicating that sellers continue to control the broader market trend.

Those moving averages now form an important resistance area alongside the upper boundary of the descending channel.

At the same time, XRP’s Relative Strength Index (RSI) is approaching oversold territory.

While that does not confirm a trend reversal, it suggests that short-term rebounds remain possible if buyers return near current price levels.

The XRP/BTC trading pair is also approaching an important technical area.

XRP is testing support near 1,700 satoshis, with analysts identifying approximately 1,500 satoshis as the next downside target should support fail.

In the event of a rebound, analysts expect resistance to emerge between 1,850 and 2,000 satoshis.

The post Ripple reports 2200% surge in tokenised assets, XRP recovers above $1 appeared first on Invezz

Apple Inc. (AAPL) shares have come under pressure after the company raised prices on several MacBook and iPad models.

But some Wall Street analysts believe the pullback could present a buying opportunity as the company leverages its pricing power and loyal customer base.

Apple stock fell 6.1% on Thursday after the company announced price increases of roughly 15% to 25% on select Mac and iPad products.

The company has pointed to rising component costs, particularly for memory and storage, as demand for semiconductors used in artificial intelligence applications continues to outpace supply.

The stock recovered modestly on Friday, rising 1.95%.

However, Apple shares remain down about 8% this month and are on pace for their weakest monthly performance since December 2022, according to Dow Jones Market Data.

Rising component costs fuel pricing adjustments

The recent price increases come as technology companies grapple with surging costs for memory and storage components that are increasingly required to support artificial intelligence capabilities.

Higher component costs have created margin pressures for hardware makers, prompting Apple to pass some of those costs on to consumers through higher pricing.

Investors initially reacted negatively, expressing concerns that more expensive consumer electronics could weaken demand, particularly as inflation remains elevated and consumers continue to prioritize essential spending over discretionary purchases.

However, some analysts believe Apple’s customer base and ecosystem position it differently from other hardware companies.

Morgan Stanley maintained its Overweight rating and $360 price target on Apple, arguing that the company’s ecosystem and financing options could help cushion any potential demand impact.

“If Apple’s demand remains relatively inelastic — as history would generally indicate given the stock ecosystem lock Apple has on customers — these price hikes could drive upside to both revenue and earnings vs. our current estimates,” Morgan Stanley analyst Erik Woodring wrote on Thursday.

Wall Street sees resilience in Apple’s customer base

Analysts note that Apple has built a highly integrated ecosystem that encourages customers to continue purchasing the company’s products and services.

Morgan Stanley said many consumers spread device purchases over several years through financing programs, reducing the monthly effect of higher prices.

The firm also suggested that Apple’s software and hardware ecosystem makes purchasing decisions less sensitive to moderate price increases.

Nancy Tengler, chief executive officer of Laffer Tengler Investments, shares a similar view.

“Consumers will spend less on something else if they absolutely must have a Mac Pro,” Tengler said in a Barron’s report on Friday.

Wedbush also reiterated its bullish stance on the stock.

The firm maintained its Outperform rating and $400 price target, implying substantial upside from Thursday’s closing price.

Wedbush’s Dan Ives said Apple remains well-positioned to raise product prices without materially damaging demand or increasing customer churn, citing the company’s growing emphasis on premium products and higher-income consumers.

Attention turns to the next iPhone launch

The company’s biggest pricing test may still lie ahead.

Apple has not raised prices on its most important product category, the iPhone.

Analysts believe future iPhone models could become more expensive as memory requirements increase to support advanced artificial intelligence features and rising component costs continue to pressure margins.

Even so, Morgan Stanley believes Apple will seek to balance profitability with maintaining demand.

“Apple prioritizes protecting gross profit dollar growth — rather than gross margins — on iPhones to limit demand elasticity on its core hardware product while also supporting installed base expansion,” Woodring said.

The post Apple stock gains on Friday as Wall Street sees buying opportunity appeared first on Invezz

The Dow Jones Industrial Average and the broader US stock market closed lower on Friday as investors continued rotating out of technology and semiconductor stocks while shifting into more defensive sectors such as healthcare, consumer staples, and utilities.

The S&P 500 slipped 0.27% to close at 7,337.68, while the Nasdaq Composite fell 0.48% to 25,236.88.

The Dow Jones Industrial Average lost 125.78 points, or 0.23%, to end at 51,794.84.

Despite Friday’s decline, the Dow posted a weekly gain of about 0.62%. The S&P 500 had a loss of more than 1% for the week, while the Nasdaq fell by 4%.

Chip stocks extend decline amid AI spending concerns

Semiconductor stocks remained under pressure as investors questioned whether the enormous investments being made in artificial intelligence infrastructure will generate returns quickly enough.

The PHLX Semiconductor Index tumbled, extending recent volatility across AI-related chipmakers that have powered much of Wall Street’s gains in recent years.

Micron Technology fell 4%, Advanced Micro Devices declined 2%, and Intel dropped more than 3%.

Sentiment was also hurt by a New York Times report that OpenAI is considering delaying its initial public offering until next year, partly due to SpaceX’s weak post-debut performance and broader volatility across AI-related stocks.

SpaceX stock closed 0.15% higher, after surging earlier on improved sentiment due to inclusion to the Russell 1000 index.

Defensive sectors outperform as healthcare rallies

As technology shares weakened, investors rotated into more defensive areas of the market.

The S&P 500 information technology sector fell 1%, while healthcare stocks continued to attract buying interest after outperforming in the previous session.

Shares of Eli Lilly surged 7%, Johnson & Johnson gained more than 3%, and AbbVie rose more than 1%.

Consumer staples advanced more than 1%, while financials and utilities gained 0.8% and 0.4%, respectively.

Moderna also rallied sharply, climbing to its highest level since 2024 after hosting an investor event that showcased its development pipeline.

Inflation concerns and global weakness shape sentiment

Fresh inflation concerns also influenced market sentiment.

Data released on Thursday showed US inflation climbed above 4% in May, driven by higher energy prices linked to the conflict in the Middle East.

Although oil prices retreated as geopolitical tensions eased, analysts said Apple’s recent price increases highlighted lingering inflation pressures.

Investors also weighed better-than-expected consumer sentiment data and an improved inflation outlook, even as Minneapolis Federal Reserve President Neel Kashkari said he expects one interest rate increase this year because of rising inflation pressures.

Interest-rate concerns persisted, with traders pricing in one 25-basis-point hike and a nearly 27% probability of another increase before year-end, according to LSEG data.

The technology selloff also spread globally.

SoftBank Group plunged more than 12%, while South Korea’s Kospi and Kosdaq indexes dropped 5.81% and 4.10%, respectively, as investors reassessed the outlook for AI-related spending and technology valuations.

The post Dow ends lower as AI selloff drags Nasdaq, defensive stocks gain appeared first on Invezz

The artificial intelligence boom has long been pitched as a transformative force that would boost productivity and eventually lower costs across the economy.

But this week, investors were confronted with a less discussed consequence of the AI race: higher prices.

Apple and Microsoft both announced product price increases on Thursday, citing soaring costs for memory and storage technologies that have become increasingly scarce as technology giants pour hundreds of billions of dollars into building AI infrastructure.

The moves reinforced growing concerns that, at least in the short term, AI may prove inflationary rather than disinflationary.

“Apple and Microsoft’s price rises have struck at the market’s fear of inflation, raising worries that, far from being deflationary, the AI boom might be inflationary, particularly for the hard-pressed consumer, hurting rather than aiding economic growth,” Chris Beauchamp, chief market analyst at IG, said.

Memory shortages hit consumer electronics

Apple raised prices on several MacBook and iPad models by between $100 and $300, though it left iPhone prices unchanged.

“The rapid expansion of AI data centers has created an extraordinary surge in demand for memory and storage. We have never seen a component price increase this much, this quickly,” Apple said in a statement.

The company added that it had “reached a point where we need to begin raising prices on a number of products,” while indicating that additional increases remain possible.

The market reaction was swift. Apple shares tumbled 6%, their worst single-day decline in more than a year.

Microsoft announced similar measures.

The software giant said prices of Xbox consoles would rise globally, with increases of $100 for 512-gigabyte models and $150 for one-terabyte versions effective Aug. 1.

The company also said it would discontinue its two-terabyte Xbox model.

The moves added to a growing list of technology manufacturers raising prices this year.

Dell, HP, Lenovo and Asus have all flagged higher prices, while Samsung increased prices on two variants of its Galaxy S26 smartphones in the United States by $100.

Shortage of memory chips and ‘chipflation’ fears

The price increases stem from an unprecedented shortage of memory chips.

Memory and storage components have become critical ingredients in the AI boom as hyperscalers race to build increasingly powerful data centres.

Suppliers have shifted production toward high-bandwidth memory chips used in AI servers, leaving consumer electronics manufacturers scrambling for supplies.

“The four largest US technology companies are forecast to spend $725 billion on data centers and AI equipment in 2026 alone. That level of demand for memory chips has created a shortage the supply chain cannot keep pace with,” said James Bull at RSM UK.

Bull said it had become increasingly evident that the costs of building the AI economy were being passed on to consumers and potentially to the broader inflation outlook.

Morgan Stanley analysts warned earlier this month that soaring memory prices could trigger “chipflation” across industries.

The brokerage said memory chip prices had risen six-fold over the past year.

“What began as an AI infrastructure bottleneck is now spreading into hardware margins, device affordability, cloud costs, inflation and policy,” the bank wrote in a note.

Areas where AI infrastructure is creating new inflation pressures

Some economists believe the inflationary impact of AI extends beyond semiconductors.

According to an April note by JPMorgan Asset Management’s Chief Global Strategist David Kelly, the enormous spending wave tied to AI development is likely to be inflationary in the near term rather than deflationary because demand is hitting the economy well before productivity gains materialise.

Kelly acknowledged that rising memory-chip prices are one channel through which AI investment could feed into higher prices, but said they do not yet represent a major source of economy-wide inflation.

Instead, he pointed to other emerging pressures. One of the clearest examples is electricity demand.

“One aspect of this demand is spending on electricity. After more than a decade of no growth, US electricity production rose by 2.5% in 2024, 2.4% in 2025 and was up by 3.0% year-over-year in March of 2026,” he said, noting that much of the increase was driven by data centre consumption and the growing use of AI models for training and inference.

Kelly said this likely contributed to a 4.6% year-over-year increase in consumer electricity prices in March.

However, because electricity carries a weight of only about 2.5% in the consumer price index basket, higher power costs accounted for just 0.1 percentage point of March’s 3.3% annual rise in headline inflation.

The construction boom linked to AI data centres is also creating labour pressures.

Construction workers saw wages rise 4.3% year-over-year in March, outpacing the 3.5% increase recorded across the broader private sector.

However, Kelly said this acceleration was probably driven more by labour shortages than by AI itself.

The total number of US construction workers increased only 0.7% over the past year, partly reflecting a sharp reversal in immigration trends in a sector that has historically relied heavily on immigrant labour.

AI productivity gains could eventually ease inflation, economists say

Kelly, however, said it was unlikely that most corporations had so far realised significant cost savings from deploying the latest AI models and even less likely that any savings had been passed on to consumers.

“There is a small but growing number of layoff announcements explicitly attributed to AI and there are some signs of diminished hiring of entry-level workers in the most AI-exposed industries,” he said.

He added that fears that AI will “take your job” could also be making workers more cautious, with economywide year-over-year wage growth falling to an almost five-year low in March.

However, more recent data from global outplacement firm Challenger, Gray & Christmas suggests AI’s impact on employment is becoming more pronounced, though.

US-based employers announced 97,006 job cuts in May, with artificial intelligence accounting for roughly 40% of all layoffs announced during the month.

It marked the third consecutive month in which AI was the leading reason cited for job reductions.

“Despite this labor market ‘scare’ effect, however, it does appear that AI is, on balance, adding slightly to inflation in the short run, although it will be far from the most important inflation driver. If this continues to be the case, over say, the next two years, then this alone would negate the idea that a disinflationary impulse from AI supports the need for short-term interest rate cuts,” Kelly said.

He expects AI to become a powerful disinflationary force over the longer term as productivity gains begin to emerge and spread across the economy.

Goldman Sachs has echoed that assessment, saying AI is currently adding to inflationary pressures even though it should ultimately lower production costs and lift economic growth.

“We expect artificial intelligence to deliver large productivity gains over the next several years, boosting the economy’s potential growth rate and putting downward pressure on production costs. So far, however, AI is boosting US inflation,” Goldman Sachs economists wrote last month.

The post Apple and Microsoft hike prices due to memory: is AI becoming an inflation machine? appeared first on Invezz

A growing chorus of China’s most influential hedge fund managers is sounding the alarm on what they describe as a dangerously overheated global AI trade.

After an explosive run-up in semiconductor and model‑development stocks from Seoul to Silicon Valley, several of Beijing’s money managers now argue the rally has detached from fundamentals – and that the first cracks are already visible.

Veteran managers are now calling AI a super bubble

Two of China’s best‑known hedge funds – Wealspring Asset and Shanghai Banxia Investment Management – have issued unusually blunt warnings that the AI boom has entered bubble territory, said a Bloomberg report.

Wealspring, founded by Yang Dong, who famously called China’s 2007 market top, told investors that global AI equities now resemble a “super bubble” inflated by momentum rather than durable business models, Bloomberg reported, citing an investor letter.

The firm, which oversees more than $1.4 billion, said many Chinese AI infrastructure companies lack defensible moats and rely on relentless capital expenditure to maintain growth.

In its view, valuations have been pushed to extremes by “brainless buying,” echoing the speculative frenzy of China’s 2015 bull market.

Wealspring cautioned that some of the most popular domestic AI names could ultimately fall more than 80% once sentiment turns.

Concerns extend beyond China, with Anthropic in focus

Banxia – which manages about $294 million – argues that the warning signs are “not” confined to China’s onshore markets.

The firm points to slowing revenue momentum at Anthropic PBC, one of the most closely watched US AI startups, as evidence that the global narrative of unstoppable growth is beginning to fray.

Banxia believes Anthropic’s annualized revenue run‑rate may undershoot market expectations as enterprise clients balk at soaring token costs and as rival model developers intensify competition for developers.

The fund also highlights a broader risk: that the AI ecosystem’s blistering revenue assumptions are colliding with the reality of rising infrastructure costs and tightening corporate budgets.

For Banxia, these pressures represent the early stages of a sentiment shift that could ripple across global AI valuations.

A booming market – and the cost of staying cautious

Despite the warnings, AI stocks have delivered extraordinary gains in 2026. China’s CSI Artificial Intelligence Index is up more than 35% year‑to‑date, far outpacing the 5% increase in the country’s main benchmark.

Overseas, the rally has been even more dramatic: South Korea’s Kospi has surged nearly 100% this year, powered by SK Hynix and Samsung Electronics – both beneficiaries of unprecedented demand for high‑bandwidth memory used in AI data centers.

Yet the very funds urging caution have paid a short‑term price for staying on the sidelines.

Wealspring’s Zhiyuan fund and Banxia’s low‑volatility macro strategy have posted small losses in early 2026, even though both remain strongly profitable over longer horizons.

Banxia founder Li Bei insists the discipline is worth it, advising investors to resist the temptation to chase parabolic AI trades and to prepare for a potential correction that could reset valuations across the sector.

The post Why China's top money managers believe the AI bubble is about to pop appeared first on Invezz