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🚨🚨 Breaking: AI isn't in a bubble if it delivers — SF Fed's Daly That sentence sounds calm. It isn’t. It quietly shifts the entire risk onto one fragile condition: “delivers.” Because no one agrees on what delivery actually means. Revenue? Productivity? Margin expansion? Infinite growth curves? That ambiguity is where markets usually get punished. If expectations stay this stretched and results miss even slightly, the story doesn’t fade. It snaps. Fast. What looks like reassurance is actually a conditional warning wrapped in policy language. #AI #artificialintelligence #stockmarket #TechBubble #economy $ALLO {future}(ALLOUSDT) $BILL {future}(BILLUSDT) $SIREN {future}(SIRENUSDT)
🚨🚨 Breaking: AI isn't in a bubble if it delivers — SF Fed's Daly

That sentence sounds calm. It isn’t. It quietly shifts the entire risk onto one fragile condition: “delivers.”

Because no one agrees on what delivery actually means. Revenue? Productivity? Margin expansion? Infinite growth curves?

That ambiguity is where markets usually get punished.

If expectations stay this stretched and results miss even slightly, the story doesn’t fade. It snaps. Fast.

What looks like reassurance is actually a conditional warning wrapped in policy language.

#AI #artificialintelligence #stockmarket #TechBubble #economy
$ALLO
$BILL
$SIREN
The current AI frenzy has turned into a closed financial centrifuge: big techs (Microsoft, Alphabet, Amazon) are rolling out insane capex of about ~$690 billion in 2026, but the lion's share of their "cloud AI revenues" is generated by pumping billions into OpenAI and Anthropic, who then buy computational power back from them. Corporations mindlessly burn through their annual AI budgets in a single quarter on endless token burn, while Anthropic is just starting to break even operationally, and OpenAI is closing quarters with a net loss of $1.22 for every dollar earned. As soon as Wall Street demands real, not paper returns on investment (ROI) from big techs, the inevitable contraction of AI capex will trigger a sharp decline in tech sector stocks, dragging BTC down with it due to an overall liquidity crisis. #AICapex #TechBubble #TradFi #Macroeconomics
The current AI frenzy has turned into a closed financial centrifuge: big techs (Microsoft, Alphabet, Amazon) are rolling out insane capex of about ~$690 billion in 2026, but the lion's share of their "cloud AI revenues" is generated by pumping billions into OpenAI and Anthropic, who then buy computational power back from them. Corporations mindlessly burn through their annual AI budgets in a single quarter on endless token burn, while Anthropic is just starting to break even operationally, and OpenAI is closing quarters with a net loss of $1.22 for every dollar earned.

As soon as Wall Street demands real, not paper returns on investment (ROI) from big techs, the inevitable contraction of AI capex will trigger a sharp decline in tech sector stocks, dragging BTC down with it due to an overall liquidity crisis.

#AICapex #TechBubble #TradFi #Macroeconomics
This is getting ridiculous. OpenAI and Anthropic are bleeding massive cash despite huge revenue. OpenAI made $20B in 2025 but still lost $14B. Projected to lose $44B cumulatively by 2028. Anthropic burns $3 for every $1 it earns. Together they’ve committed over $1.05 Trillion in cloud spending — making up nearly half of Microsoft, Google, Oracle, and Amazon’s future revenue backlogs. Meanwhile, hyperscalers are spending $725B this year on AI infrastructure. Yet most companies still can’t show clear ROI from generative AI. The entire AI boom is riding on two loss-making companies. #OpenAI #Anthropic #TechBubble #CloudComputing #ArtificialIntelligence
This is getting ridiculous.
OpenAI and Anthropic are bleeding massive cash despite huge revenue.
OpenAI made $20B in 2025 but still lost $14B. Projected to lose $44B cumulatively by 2028.
Anthropic burns $3 for every $1 it earns.
Together they’ve committed over $1.05 Trillion in cloud spending — making up nearly half of Microsoft, Google, Oracle, and Amazon’s future revenue backlogs.
Meanwhile, hyperscalers are spending $725B this year on AI infrastructure.
Yet most companies still can’t show clear ROI from generative AI.
The entire AI boom is riding on two loss-making companies.
#OpenAI #Anthropic #TechBubble #CloudComputing #ArtificialIntelligence
Mark Cuban dropped some harsh truth bombs on OpenAI during the Big Technology podcast: he believes the company will never recoup the trillion dollars sunk into its infrastructure and risks becoming just another "expensive app." The billionaire thinks the AI market could go the way of streaming with razor-thin margins and a crowd of survivors, rather than the monopolistic path of Google Search, making the massive cash burns on chips and data centers the biggest capital destruction in history. For investors, this is a signal to cool off: if foundational models turn into a cheap commodity, the big bucks will go to those who integrate them into real businesses, while giants like OpenAI drown in operational expenses. ​#OpenAI #MarkCuban #AI #Investment #TechBubble
Mark Cuban dropped some harsh truth bombs on OpenAI during the Big Technology podcast: he believes the company will never recoup the trillion dollars sunk into its infrastructure and risks becoming just another "expensive app." The billionaire thinks the AI market could go the way of streaming with razor-thin margins and a crowd of survivors, rather than the monopolistic path of Google Search, making the massive cash burns on chips and data centers the biggest capital destruction in history.

For investors, this is a signal to cool off: if foundational models turn into a cheap commodity, the big bucks will go to those who integrate them into real businesses, while giants like OpenAI drown in operational expenses.

#OpenAI #MarkCuban #AI #Investment #TechBubble
Article
The Trillion-Dollar "Ghost" Revenue Problem, Is the AI Party Over?GUYS .......we’ve seen this movie before. Whether it was the 2017 ICO craze or the 2021 NFT mania, the "hype cycle" is a language we speak fluently.  But right now, the biggest bubble is not on a crypto exchange it’s in the boardrooms of Silicon Valley. Derek Thompson recently laid out a cold, hard truth that most "AI bros" are ignoring.  AI is officially in a massive financial bubble.  There is no question about it. The Math Just Doesn't Work Yet The disconnect is staggering.  Big Tech Microsoft, Google, Meta is spending tens of billions on Nvidia chips and massive data centers.  They are building the digital equivalent of a 100-lane highway, but right now, only a few scooters are actually driving on it. To justify the money being poured in, AI needs to generate hundreds of billions in new revenue. Currently? We are mostly seeing: $20/month subscriptions for chatbots."Efficiency gains" that are hard to quantify.A lot of cool demos that don't actually have a business model. The "OpenAI-to-Startup" Pipeline where it gets spicy . We are seeing a massive exodus of high-level OpenAI executives leaving to launch their own startups.  While the media paints this as "innovation," a cynical or realistic eye sees it differently. When the top brass at the biggest AI lab in the world jumps ship to raise even more VC money for new ventures, it feels less like a breakthrough and more like "Musical Chairs: Billionaire Edition." These startups are being valued at billions before they even have a product.  If the leaders of the industry are pivoting to new shells while the old one is still burning cash, we have to ask: What do they know that the retail investors don't? The Dot Com Parallel Is AI hype is Fake , No.  It’s transformative. But being a great technology doesn't mean it’s a great investment right now. I see this exactly like the 1999 Dot-com bubble. The Hype: Everyone knows the Internet (or AI) is the future.The Bubble: Investors pour money into anything with a ".com" (or "AI") suffix.The Crash: 90% of those companies go to zero because they have no path to profit.The Survivor: The infrastructure stays behind. The fiber-optic cables laid in 1999 gave us the modern web. The GPUs bought in 2024 will give us the future of tech but many of the companies buying them today won't exist to see it. Don't get blinded by the Next Big Thing FOMO.  The AI industry is currently a massive infrastructure project funded by speculative hopium. Watch the "OpenAI Mafia" and their new startups closely.  If they continue to raise billions without shipping tools that actually generate profit, the "pop" is closer than you think.  In crypto, we call this a "top signal." In Silicon Valley, they call it "disruption." Whatever you call it, keep your exit strategy ready. ps : TL;DR ? AI is real. AI is important. But right now, the economics are broken for ROI. #Aİ #OpenAI #TechBubble #NVIDIA #InvestmentStrategy

The Trillion-Dollar "Ghost" Revenue Problem, Is the AI Party Over?

GUYS .......we’ve seen this movie before. Whether it was the 2017 ICO craze or the 2021 NFT mania, the "hype cycle" is a language we speak fluently.
But right now, the biggest bubble is not on a crypto exchange
it’s in the boardrooms of Silicon Valley.
Derek Thompson recently laid out a cold, hard truth that most "AI bros" are ignoring.
AI is officially in a massive financial bubble.
There is no question about it.
The Math Just Doesn't Work Yet
The disconnect is staggering.
Big Tech Microsoft, Google, Meta is spending tens of billions on Nvidia chips and massive data centers.
They are building the digital equivalent of a 100-lane highway, but right now, only a few scooters are actually driving on it.
To justify the money being poured in, AI needs to generate hundreds of billions in new revenue. Currently? We are mostly seeing:
$20/month subscriptions for chatbots."Efficiency gains" that are hard to quantify.A lot of cool demos that don't actually have a business model.
The "OpenAI-to-Startup" Pipeline
where it gets spicy . We are seeing a massive exodus of high-level OpenAI executives leaving to launch their own startups.
While the media paints this as "innovation," a cynical or realistic eye sees it differently.
When the top brass at the biggest AI lab in the world jumps ship to raise even more VC money for new ventures, it feels less like a breakthrough and more like "Musical Chairs: Billionaire Edition." These startups are being valued at billions before they even have a product.
If the leaders of the industry are pivoting to new shells while the old one is still burning cash, we have to ask: What do they know that the retail investors don't?
The Dot Com Parallel
Is AI hype is Fake , No.
It’s transformative. But being a great technology doesn't mean it’s a great investment right now.
I see this exactly like the 1999 Dot-com bubble.
The Hype: Everyone knows the Internet (or AI) is the future.The Bubble: Investors pour money into anything with a ".com" (or "AI") suffix.The Crash: 90% of those companies go to zero because they have no path to profit.The Survivor: The infrastructure stays behind. The fiber-optic cables laid in 1999 gave us the modern web. The GPUs bought in 2024 will give us the future of tech but many of the companies buying them today won't exist to see it.
Don't get blinded by the Next Big Thing FOMO.
The AI industry is currently a massive infrastructure project funded by speculative hopium.
Watch the "OpenAI Mafia" and their new startups closely.
If they continue to raise billions without shipping tools that actually generate profit, the "pop" is closer than you think.
In crypto, we call this a "top signal." In Silicon Valley, they call it "disruption."
Whatever you call it, keep your exit strategy ready.
ps : TL;DR ?
AI is real. AI is important. But right now, the economics are broken for ROI.
#Aİ #OpenAI #TechBubble #NVIDIA #InvestmentStrategy
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