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AI Bubble Warning: Analyst Predicts 2026 Crisis as Industry Burns $400B Annually

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TLDR:

  • AI industry currently spends $400 billion per year while generating only $50-60 billion in revenue annually. 
  • Debt-based financing distinguishes current AI boom from dot-com bubble, creating potential systemic risks. 
  • Circular funding patterns keep revenue within AI ecosystem without generating actual profits for businesses. 
  • Power grid limitations delay data center construction, pushing revenue timelines further while debt payments remain due.

 

A cryptocurrency analyst has raised concerns about the artificial intelligence industry’s financial sustainability. Alex Mason, who claims to have accurately predicted market movements in 2022, posted warnings on X about what he describes as an impending AI bubble collapse.

His analysis points to a significant gap between industry spending and revenue generation. The timing of potential stress, according to Mason, aligns with 2026.

Revenue Gap and Circular Funding Raise Questions

The AI sector currently burns approximately $400 billion annually while generating between $50 billion and $60 billion in revenue.

Mason argues this disparity represents a structural problem rather than typical early-stage challenges. Major AI companies reportedly lose tens of billions each year. Meanwhile, most businesses implementing AI solutions see no meaningful returns on their investments.

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Mason points to circular funding patterns within the industry. Large players fund each other through partnerships that appear substantial on paper.

However, much of the revenue remains within the ecosystem itself. This creates activity without generating actual profits, according to the analyst’s assessment.

The lack of a clear profitability timeline adds to concerns about the sector’s sustainability. Costs continue to rise while profit margins remain uncertain.

Many companies rely on the assumption that scaling operations will eventually resolve financial challenges. Mason also notes a shift toward government and defense contracts, which he interprets as a defensive move rather than genuine growth.

Infrastructure limitations present another obstacle to AI expansion. The power grid cannot support all planned data center construction.

This pushes potential revenue generation further into the future while debt obligations remain immediate. Companies must service their borrowings regardless of when profits materialize.

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Debt Structure Creates Systemic Vulnerabilities

The current AI boom differs fundamentally from the dot-com bubble in its financing structure. The earlier tech bubble primarily involved equity investments.

When it burst, investors suffered losses but the broader financial system remained stable. Today’s AI expansion relies heavily on debt financing, with companies borrowing substantial amounts based on future profit expectations.

Private credit markets have already allocated hundreds of billions to technology-related loans. Insurance companies hold significant exposure to these investments.

Banks maintain connections through leverage arrangements and credit facilities. This interconnected web of obligations creates potential systemic risks if AI companies fail to achieve profitability.

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Consumer financial stress compounds these concerns. Foreclosure rates are climbing across housing markets. Automobile repossessions have increased in recent months.

Student loan defaults continue to spread while credit card delinquency rates rise. These trends exist before any potential AI-related financial disruption.

Mason clarifies that he does not predict AI technology will disappear entirely. Instead, he suggests markets may be underestimating the pain associated with the industry’s path to profitability.

The analyst indicated he will publicly announce when he believes markets have bottomed and investment timing becomes favorable.

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Crypto World

XRP Rally Fails as Traders Take Early Profit: What’s Next?

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XRP Exchange Net Position Change

XRP price surged sharply, nearly posting an 18.7% intraday gain before surrendering half of that advance. The token now trades near $1.53 after closing with a 9% rise. 

Premature profit-taking by holders capped momentum and may influence XRP price direction in the coming sessions.

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XRP Selling Continues

Exchange net position change data indicates that selling among XRP holders remains consistent. Green bars on the metric show continued inflows to exchanges, which typically signal intent to sell. This steady movement suggests holders are offloading XRP during price rallies.

Outflows continue to dominate net flows despite the recent surge. Investors appear eager to secure profits after weeks of volatility. Such behavior often suppresses sustained breakouts and reinforces consolidation near resistance levels.

Want more token insights like this? Sign up for Editor Harsh Notariya’s Daily Crypto Newsletter here.

XRP Exchange Net Position Change
XRP Exchange Net Position Change. Source: Glassnode

The MVRV Long/Short Difference highlights the dominance of XRP short-term holder profits. This metric measures the distribution of unrealized gains between long-term and short-term investors. Current low readings indicate that short-term holders hold a larger share of profits.

Short-term holders typically react quickly to price increases. Their tendency to sell at the first sign of gains likely contributed to the rally’s abrupt halt.

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As long as STH profits dominate, upward momentum may encounter repeated resistance.

XRP MVRV Long/Short Difference.
XRP MVRV Long/Short Difference. Source: Santiment

XRP Price May Face Some Resistance

XRP nearly recorded an 18.7% rise during the latest trading session before settling at a 9% gain. The long wick and rapid reduction in upside reflect early profit booking. Such behavior highlights fragile bullish conviction despite renewed interest.

The immediate objective is securing $1.51 as a support floor. XRP trades slightly above that level at $1.53.

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Resistance near $1.62 may cap gains, and renewed selling from short-term holders could pull the price back toward $1.36.

XRP Price Analysis
XRP Price Analysis. Source: TradingView

If distribution slows and demand stabilizes, XRP could regain upward traction.

A decisive move above $1.62 would strengthen the technical structure. Sustained buying could drive the price toward $1.76, invalidating the bearish thesis and reinforcing recovery momentum.

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Crypto Needs Privacy To Scale in Payments: Binance Co-Founder CZ

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Privacy, Changpeng Zhao

The lack of privacy for onchain transactions is one of the biggest hurdles to the mass adoption of cryptocurrencies for payments and a medium of exchange, according to Changpeng Zhao, co-founder of the Binance cryptocurrency exchange.

The executive commonly known as “CZ” said the lack of privacy prevents businesses and institutions from paying expenses in crypto. He gave this example: 

“Lack of Privacy may be the missing link for crypto payments adoption. Imagine a company pays employees in crypto onchain. With the current state of crypto, you can pretty much see how much everyone in the company is paid by clicking the ‘from’ address.”

Privacy, Changpeng Zhao
Source: CZ

In a previous conversation with investor and host of the All-In Podcast Chamath Palihapitiya, CZ also cited physical security concerns as a reason why onchain transparency is a risk to users. The comments follow a revival of privacy and the cypherpunk ethos in crypto.

Cypherpunk ideology is central to the birth of cryptocurrencies, peer-to-peer digital money that can be transferred without centralized intermediaries, and the encryption of online communication to shield messages from surveillance.

Privacy, Changpeng Zhao
CZ discusses the state of the crypto industry with Chamath Palihapitiya. Source: All-In Podcast

Related: ‘No privacy’ CBDCs will come, warns billionaire Ray Dalio

Encrypt everything: the rise of onchain privacy

Businesses and institutions will not embrace crypto, Web3 platforms, or blockchain if they cannot shield their transactions, Avidan Abitbol, the former Business Development Specialist for the Kaspa cryptocurrency project, told Cointelegraph.

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Transaction data contains critical information about corporate workflows, trade secrets, business relationships and can provide clues about a company’s overall financial health to competitors, he said.

These issues can lead to corporate theft, negatively impact corporations during business negotiations and increase the threat of an institution being targeted by scammers, Abitbol added.