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Ed Zitron says there is no post-dotcom-style recovery here, because outside OpenAI and Anthropic all of AI barely sells $22 billion against a trillion spent "The post-dotcom bubble thing people say is, well, after that there was demand from the internet." "That's very different to demand for generative AI."...

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🔥"They've spent over a TRILLION dollars, and for what?" Ed Zitron says the entire AI industry runs on two unprofitable companies, OpenAI and Anthropic, that cannot afford to exist without Big Tech giving them money. "There is no post-bubble story for this."
1:24

🔥"They've spent over a TRILLION dollars, and for what?" Ed Zitron says the entire AI industry runs on two unprofitable companies, OpenAI and Anthropic, that cannot afford to exist without Big Tech giving them money. "There is no post-bubble story for this."

Coin Bureau

41,626 Aufrufe • vor 1 Tag

THIS IS ABSOLUTELY RIDICULOUS. OpenAI and Anthropic are losing money on every dollar they make. OpenAI generated $20 billion in revenue in 2025 and is projected to lose $14 billion in the same year. Internal forecasts project cumulative losses hitting $44 billion by 2028. The company's own CFO warned executives in April 2026 that OpenAI might struggle to finance upcoming computing deals if revenue growth slows. Anthropic reached $4.3 billion in annualized revenue in April 2026 against $19 billion in total costs. It spends $3 to make $1, and is not expected to stop burning cash until 2027. Now look at what these two companies have committed to spend. OpenAI and Anthropic together have committed $1.05 trillion in cloud spending to Microsoft, Oracle, Google and Amazon, making up 43 to 54% of each provider's entire future revenue backlog. - Microsoft: $627B total backlog. OpenAI and Anthropic account for 49%. - Oracle: $553B total backlog. OpenAI alone accounts for 54%. - Google: $467.6B total backlog. Anthropic accounts for 43%. - Amazon: $464B total backlog. OpenAI and Anthropic account for 51%. The entire cloud industry's future revenue is a bet on two companies losing billions every quarter. Microsoft, Alphabet, Meta and Amazon are collectively expected to spend $725 billion in capex in 2026, almost entirely on AI infrastructure. Combined hyperscaler capex from 2025 to 2027 is projected at $1.15 trillion, more than double what was spent from 2022 to 2024. What is the return on all of this? McKinsey's 2025 State of AI survey found that only a minority of companies reported AI meaningfully increased revenue or reduced costs. Enterprise generative AI spending grew from $1.7 billion in 2023 to $37 billion in 2025 and most CIOs still describe their initiatives as pilots without clear ROI metrics. Microsoft's AI business is running at a $37 billion annual revenue run rate with 123% year over year growth. That sounds impressive until you realize most of the capex funding is justified by expected future AI revenue rather than current AI profit. The internet burned money for years before it became the most profitable industry in history. But right now $1 trillion in committed cloud spend, $725 billion in annual capex, two loss-making customers making up half of every major cloud provider's revenue backlog, and the enterprises writing the checks cannot tell you if any of it is working.
0:22

THIS IS ABSOLUTELY RIDICULOUS. OpenAI and Anthropic are losing money on every dollar they make. OpenAI generated $20 billion in revenue in 2025 and is projected to lose $14 billion in the same year. Internal forecasts project cumulative losses hitting $44 billion by 2028. The company's own CFO warned executives in April 2026 that OpenAI might struggle to finance upcoming computing deals if revenue growth slows. Anthropic reached $4.3 billion in annualized revenue in April 2026 against $19 billion in total costs. It spends $3 to make $1, and is not expected to stop burning cash until 2027. Now look at what these two companies have committed to spend. OpenAI and Anthropic together have committed $1.05 trillion in cloud spending to Microsoft, Oracle, Google and Amazon, making up 43 to 54% of each provider's entire future revenue backlog. - Microsoft: $627B total backlog. OpenAI and Anthropic account for 49%. - Oracle: $553B total backlog. OpenAI alone accounts for 54%. - Google: $467.6B total backlog. Anthropic accounts for 43%. - Amazon: $464B total backlog. OpenAI and Anthropic account for 51%. The entire cloud industry's future revenue is a bet on two companies losing billions every quarter. Microsoft, Alphabet, Meta and Amazon are collectively expected to spend $725 billion in capex in 2026, almost entirely on AI infrastructure. Combined hyperscaler capex from 2025 to 2027 is projected at $1.15 trillion, more than double what was spent from 2022 to 2024. What is the return on all of this? McKinsey's 2025 State of AI survey found that only a minority of companies reported AI meaningfully increased revenue or reduced costs. Enterprise generative AI spending grew from $1.7 billion in 2023 to $37 billion in 2025 and most CIOs still describe their initiatives as pilots without clear ROI metrics. Microsoft's AI business is running at a $37 billion annual revenue run rate with 123% year over year growth. That sounds impressive until you realize most of the capex funding is justified by expected future AI revenue rather than current AI profit. The internet burned money for years before it became the most profitable industry in history. But right now $1 trillion in committed cloud spend, $725 billion in annual capex, two loss-making customers making up half of every major cloud provider's revenue backlog, and the enterprises writing the checks cannot tell you if any of it is working.

Crypto Rover

58,862 Aufrufe • vor 3 Monaten

Chris Camillo made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.
1:25

Chris Camillo made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.

Milk Road Stocks

41,351 Aufrufe • vor 1 Monat

Chris Camillo just made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.
1:25

Chris Camillo just made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.

Milk Road Macro

55,169 Aufrufe • vor 3 Monaten

Microsoft just betrayed OpenAI and Anthropic, the two companies it helped build. And it could break the entire AI trade... Here's what happened: Inside Excel and Outlook, two of the most used business apps on Earth, Microsoft has started routing tens of thousands of AI requests every week to its own in-house models instead of OpenAI and Anthropic. Microsoft's own AI chief, Mustafa Suleyman, said himself: "We pay a lot of money to Anthropic, so our goal is to reduce and ultimately ELIMINATE that cost." This is the company that poured $13 billion into OpenAI and effectively created the modern AI industry, and it just decided the most advanced models on the market are NOT worth paying for. And here's the thing... Microsoft is not just ripping out OpenAI everywhere - it is being surgical about it. The hardest and rarest tasks can still go to OpenAI or Anthropic. What Microsoft is taking back is the boring, high-volume work, like the email replies, the thread summaries, and the simple spreadsheet formulas. Why does that matter so much? Because that boring, repetitive work is where the actual money lives. The frontier labs assumed businesses would push BILLIONS of these tiny requests through expensive models forever. That endless river of tokens is the entire reason OpenAI and Anthropic are valued in the hundreds of billions of dollars. Microsoft looked at that river, decided it was massively overpaying, and rerouted it to models it owns outright. So the single biggest customer in the industry just walked off with the most profitable part of the business. And it is not only Microsoft: That same week, CNBC reported that American companies have been escaping to Chinese AI models to dodge rising US prices. Chinese models now handle more than 30% of US companies' AI usage on one major platform, peaking at 46%, up from an average of 11% a year earlier. They cost 60 to 90% less, and on some benchmarks they land within a single point of the best American model. One US startup moved ALL of its AI traffic off Claude and onto China's DeepSeek, and expects to save millions. Meanwhile Meta just admitted it has "excess" AI compute it wants to sell, becoming the first giant to concede it built far too much. Do you see the pattern forming? For two years, the entire AI story rested on one assumption: Every company on Earth would happily pay premium prices for the best model, forever. That assumption literally died in a single week. And the market noticed. More than a trillion dollars has been wiped off AI and chip stocks in a matter of days, as Wall Street finally started asking whether all of this spending will ever pay for itself. What this means for OpenAI and Anthropic: Their models are extraordinary, and it may not matter because their own biggest customers have decided they do not NEED the best model in the world to answer an email, and "good enough" now costs a fraction of the price. When even Microsoft refuses to pay full price for AI, the real question becomes who exactly IS left to pay it. What do you think?
1:05

Microsoft just betrayed OpenAI and Anthropic, the two companies it helped build. And it could break the entire AI trade... Here's what happened: Inside Excel and Outlook, two of the most used business apps on Earth, Microsoft has started routing tens of thousands of AI requests every week to its own in-house models instead of OpenAI and Anthropic. Microsoft's own AI chief, Mustafa Suleyman, said himself: "We pay a lot of money to Anthropic, so our goal is to reduce and ultimately ELIMINATE that cost." This is the company that poured $13 billion into OpenAI and effectively created the modern AI industry, and it just decided the most advanced models on the market are NOT worth paying for. And here's the thing... Microsoft is not just ripping out OpenAI everywhere - it is being surgical about it. The hardest and rarest tasks can still go to OpenAI or Anthropic. What Microsoft is taking back is the boring, high-volume work, like the email replies, the thread summaries, and the simple spreadsheet formulas. Why does that matter so much? Because that boring, repetitive work is where the actual money lives. The frontier labs assumed businesses would push BILLIONS of these tiny requests through expensive models forever. That endless river of tokens is the entire reason OpenAI and Anthropic are valued in the hundreds of billions of dollars. Microsoft looked at that river, decided it was massively overpaying, and rerouted it to models it owns outright. So the single biggest customer in the industry just walked off with the most profitable part of the business. And it is not only Microsoft: That same week, CNBC reported that American companies have been escaping to Chinese AI models to dodge rising US prices. Chinese models now handle more than 30% of US companies' AI usage on one major platform, peaking at 46%, up from an average of 11% a year earlier. They cost 60 to 90% less, and on some benchmarks they land within a single point of the best American model. One US startup moved ALL of its AI traffic off Claude and onto China's DeepSeek, and expects to save millions. Meanwhile Meta just admitted it has "excess" AI compute it wants to sell, becoming the first giant to concede it built far too much. Do you see the pattern forming? For two years, the entire AI story rested on one assumption: Every company on Earth would happily pay premium prices for the best model, forever. That assumption literally died in a single week. And the market noticed. More than a trillion dollars has been wiped off AI and chip stocks in a matter of days, as Wall Street finally started asking whether all of this spending will ever pay for itself. What this means for OpenAI and Anthropic: Their models are extraordinary, and it may not matter because their own biggest customers have decided they do not NEED the best model in the world to answer an email, and "good enough" now costs a fraction of the price. When even Microsoft refuses to pay full price for AI, the real question becomes who exactly IS left to pay it. What do you think?

Ricardo

93,276 Aufrufe • vor 1 Monat

This is the best take I have heard around the existing AI landscape today Fantastic explanation around the constraints at OpenAI and Anthropic, focus on enterprise business models, and the doomerism narrative in AI From former AI czar David Sacks "Even though Anthropic's revenue has followed this exponential graph very predictably, it cannot do that ever. The reason is that as you hit new levels of scale, you encounter new problems. You are simply going to run out of compute, electricity, data centers, and infrastructure. There are limits to the physical world you are going to hit. And there is already evidence that Anthropic is hitting some of those limits."
4:27

This is the best take I have heard around the existing AI landscape today Fantastic explanation around the constraints at OpenAI and Anthropic, focus on enterprise business models, and the doomerism narrative in AI From former AI czar David Sacks "Even though Anthropic's revenue has followed this exponential graph very predictably, it cannot do that ever. The reason is that as you hit new levels of scale, you encounter new problems. You are simply going to run out of compute, electricity, data centers, and infrastructure. There are limits to the physical world you are going to hit. And there is already evidence that Anthropic is hitting some of those limits."

Boring_Business

236,448 Aufrufe • vor 4 Monaten

SF Compute CEO evan conrad on his contrarian thesis that OpenAI and Anthropic won't eat the world, everyone will become OpenAI and Anthropic instead: "Our impression is not that OpenAI and Anthropic will eat the world, it's that everyone will look like OpenAI and Anthropic. That's simply the way that companies work now." "Every single company in the world that is of meaningful scale will look like a frontier lab. There is this belief that the large labs have won it all, and they've got this compounding advantage. The default assumption of that is assuming nobody else will do anything." "The bottleneck was there's 100 people, and they know how to train the models. Or you thought, the problem is compute. The problem of compute is credit. And OpenAI and Anthropic are not unique to having credit. In fact, they don't have as good credit as other people." "If you assume the problem is not the researchers, that that problem's basically gone away the moment you got to auto research, then what you should assume is that pretty much every other company is going to swap the way they work to look like a frontier lab. It won't be OpenAI and Anthropic take the whole world. It's that everyone's OpenAI and Anthropic now." San Francisco Compute
1:32

SF Compute CEO evan conrad on his contrarian thesis that OpenAI and Anthropic won't eat the world, everyone will become OpenAI and Anthropic instead: "Our impression is not that OpenAI and Anthropic will eat the world, it's that everyone will look like OpenAI and Anthropic. That's simply the way that companies work now." "Every single company in the world that is of meaningful scale will look like a frontier lab. There is this belief that the large labs have won it all, and they've got this compounding advantage. The default assumption of that is assuming nobody else will do anything." "The bottleneck was there's 100 people, and they know how to train the models. Or you thought, the problem is compute. The problem of compute is credit. And OpenAI and Anthropic are not unique to having credit. In fact, they don't have as good credit as other people." "If you assume the problem is not the researchers, that that problem's basically gone away the moment you got to auto research, then what you should assume is that pretty much every other company is going to swap the way they work to look like a frontier lab. It won't be OpenAI and Anthropic take the whole world. It's that everyone's OpenAI and Anthropic now." San Francisco Compute

MTS

133,799 Aufrufe • vor 5 Tagen

Jensen to AI Leaders: “We have to be far more thoughtful” when communicating to the public Jensen Huang: “(AI) is not a biological being. It is not alien. It is not conscious. It is computer software.” “We say things like, ‘We don't understand it at all.’ It is not true. We understand a lot of things about this technology.” Chamath: “If you were in the seat in the boardroom of Anthropic over that whole scuttlebutt with the Department of War, what do you think you would've told Dario and that team to do, maybe, differently to try to change some of this outcome and some of this perception?” Jensen: “The first thing that I would say about Anthropic is, first of all, the technology is incredible. We are a large consumer of Anthropic technology.” “The desire to warn people about the capability of the technology is also really terrific.” “We just have to make sure that we understand that the world has a spectrum, and that warning is good, scaring is less good because this technology is too important to us.” “I think that it is fine to predict the future, but we need to be a little bit more circumspect. We need to have a little bit more humility, that, in fact, we can't completely predict the future.” “And to say things that are quite extreme, quite catastrophic, that there's no evidence of it happening, could be more damaging than people think.” “And of course we are technology leaders.” “There was a time when nobody listened to us, but now because technology is so important in the social fabric, such an important industry, so important to national security, our words do matter.” “And I think we have to be much more circumspect, we have to be more moderate, we have to be more balanced, we have to be far more thoughtful.”
1:27

Jensen to AI Leaders: “We have to be far more thoughtful” when communicating to the public Jensen Huang: “(AI) is not a biological being. It is not alien. It is not conscious. It is computer software.” “We say things like, ‘We don't understand it at all.’ It is not true. We understand a lot of things about this technology.” Chamath: “If you were in the seat in the boardroom of Anthropic over that whole scuttlebutt with the Department of War, what do you think you would've told Dario and that team to do, maybe, differently to try to change some of this outcome and some of this perception?” Jensen: “The first thing that I would say about Anthropic is, first of all, the technology is incredible. We are a large consumer of Anthropic technology.” “The desire to warn people about the capability of the technology is also really terrific.” “We just have to make sure that we understand that the world has a spectrum, and that warning is good, scaring is less good because this technology is too important to us.” “I think that it is fine to predict the future, but we need to be a little bit more circumspect. We need to have a little bit more humility, that, in fact, we can't completely predict the future.” “And to say things that are quite extreme, quite catastrophic, that there's no evidence of it happening, could be more damaging than people think.” “And of course we are technology leaders.” “There was a time when nobody listened to us, but now because technology is so important in the social fabric, such an important industry, so important to national security, our words do matter.” “And I think we have to be much more circumspect, we have to be more moderate, we have to be more balanced, we have to be far more thoughtful.”

The All-In Podcast

57,581 Aufrufe • vor 5 Monaten

$AMZN CEO Andy Jassy reveals customers want Trainium chips outside AWS and says there's a real chance Amazon sells them that way. "On the question about selling Trainium, we're quite excited about what's happening in our chips business." "As I mentioned earlier, it's over $25 billion in annual revenue at this point. We think we have the leading price performance chip in both the AI space with Trainium and in the CPU space with Graviton." "The fact that we have multi-year, multi-gigawatt commitments from the two largest AI labs, Anthropic and OpenAI, and more and more companies, as I mentioned in my opening comments, using Trainium is exciting and promising." "And we just have an incredible amount of demand for Trainium. So there are a lot of customers who are very excited about using it in the form that we're providing right now." "We do have an increasing number of customers who are interested in us providing the Trainium chips to them separate from our cloud. And we're actively having those conversations and exploring. And I expect there's a real chance we'll do that in the future."
1:04

$AMZN CEO Andy Jassy reveals customers want Trainium chips outside AWS and says there's a real chance Amazon sells them that way. "On the question about selling Trainium, we're quite excited about what's happening in our chips business." "As I mentioned earlier, it's over $25 billion in annual revenue at this point. We think we have the leading price performance chip in both the AI space with Trainium and in the CPU space with Graviton." "The fact that we have multi-year, multi-gigawatt commitments from the two largest AI labs, Anthropic and OpenAI, and more and more companies, as I mentioned in my opening comments, using Trainium is exciting and promising." "And we just have an incredible amount of demand for Trainium. So there are a lot of customers who are very excited about using it in the form that we're providing right now." "We do have an increasing number of customers who are interested in us providing the Trainium chips to them separate from our cloud. And we're actively having those conversations and exploring. And I expect there's a real chance we'll do that in the future."

Fireside Alpha

11,669 Aufrufe • vor 28 Tagen

ELON MUSK: The future is fundamentally AI and Robots. “Our AI revenue will exceed all other SpaceX revenue probably in September, like next month, and will significantly exceed all other SpaceX revenue in the fourth quarter. So, AI has become an extremely important part of SpaceX’s future. I think it’s actually vital that we succeed in AI, not just in hardware, but also in software. So, yeah, the future is fundamentally AI and robots. Assuming civilization continues to progress, I think that AI will probably, the amount of digital intelligence will probably be more than a trillion times the amount of biological intelligence. So, not sort of equal to human intelligence, but probably a trillion times higher. I’d say a billion times higher than the amount of artificial intelligence that we have today. I’d say a billion times is an easy prediction, and probably a trillion. So, as you harness more and more of the sun’s energy, the ability to turn that into intelligence is fundamentally a digital computer thing, because it’s pretty hard for humans to go live in deep space without any support. I mean, some of the math is interesting to think about, which is that if you increased civilizational energy usage, the amount of energy that we have harnessed as a civilization by a factor of a million, you would still be using much less than one millionth of the sun’s energy. Now, most of this is in deep space, obviously, but the future is very much AI, very much, and I suppose it was always going to be that way. But it’s important that we have an AI that cares about humanity, that fosters humanity and helps take us to other planets and other star systems, and this is why I think it’s essential that SpaceX succeed, not just with AI hardware, but also with AI software.”
3:08

ELON MUSK: The future is fundamentally AI and Robots. “Our AI revenue will exceed all other SpaceX revenue probably in September, like next month, and will significantly exceed all other SpaceX revenue in the fourth quarter. So, AI has become an extremely important part of SpaceX’s future. I think it’s actually vital that we succeed in AI, not just in hardware, but also in software. So, yeah, the future is fundamentally AI and robots. Assuming civilization continues to progress, I think that AI will probably, the amount of digital intelligence will probably be more than a trillion times the amount of biological intelligence. So, not sort of equal to human intelligence, but probably a trillion times higher. I’d say a billion times higher than the amount of artificial intelligence that we have today. I’d say a billion times is an easy prediction, and probably a trillion. So, as you harness more and more of the sun’s energy, the ability to turn that into intelligence is fundamentally a digital computer thing, because it’s pretty hard for humans to go live in deep space without any support. I mean, some of the math is interesting to think about, which is that if you increased civilizational energy usage, the amount of energy that we have harnessed as a civilization by a factor of a million, you would still be using much less than one millionth of the sun’s energy. Now, most of this is in deep space, obviously, but the future is very much AI, very much, and I suppose it was always going to be that way. But it’s important that we have an AI that cares about humanity, that fosters humanity and helps take us to other planets and other star systems, and this is why I think it’s essential that SpaceX succeed, not just with AI hardware, but also with AI software.”

DogeDesigner

67,681 Aufrufe • vor 19 Tagen

🔥ED ZITRON: "IF OPENAI FAILS, ORACLE IS IN THE TOILET" Zitron called OpenAI "the Lehman Brothers of AI" and says its collapse would shake the entire market. Oracle's credit rating was downgraded to one level above junk specifically because of its $340 BILLION data center buildout for a company that may never be able to pay. "OpenAI IS the AI bubble. There is not another entity on Earth who can afford to pay for Stargate. No one."
0:31

🔥ED ZITRON: "IF OPENAI FAILS, ORACLE IS IN THE TOILET" Zitron called OpenAI "the Lehman Brothers of AI" and says its collapse would shake the entire market. Oracle's credit rating was downgraded to one level above junk specifically because of its $340 BILLION data center buildout for a company that may never be able to pay. "OpenAI IS the AI bubble. There is not another entity on Earth who can afford to pay for Stargate. No one."

Coin Bureau

50,922 Aufrufe • vor 1 Monat

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)
0:59

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)

Rohan Paul

16,584 Aufrufe • vor 3 Monaten

Jensen Huang just admitted Nvidia is paying for BOTH ends of its own $500 billion deal. Every outlet ran the same headline: Nvidia is putting half a trillion dollars into Korea. The largest AI infrastructure commitment ever announced with a single partner. But when asked what was actually inside that number and whether this is Nvidia spending money in the Korean economy, or SK fronting the capital themselves, Jensen said this: "We're gonna be purchasing memories from them for many years to come. In order to build a trillion dollars worth of Vera Rubin systems, you're gonna have to buy a lot of system memories to go with it. And so we have large purchase agreements and large purchase intentions with SK Hynix. Meanwhile, SK Telecom is gonna become an AI cloud. And in that agreement, we will be selling AI supercomputers to them. So between us, we're gonna do $500 billion worth of business." He literally described two completely different transactions and added them together. Nvidia pays SK Hynix for memory chips. SK Telecom pays Nvidia for supercomputers. Both directions get stacked into one figure and handed to the market as demand. A large share of that half trillion dollars is Nvidia's own money going OUT the door. This is the CEO of the most important chip company on Earth. His silicon runs every serious AI system on the planet. If anyone alive could announce a clean half trillion in customer demand, it's him. Instead he announced a number that counts his own supplier payments as "business." But now this is where it gets genuinely crazy... Bloomberg asked how badly Nvidia needs Korean supply to grow. Jensen said Nvidia does not have enough bits. He said the company is constrained in HBM memory, constrained in LPDDR memory, and constrained in just about every part of the supply chain. Then he named the bottleneck nobody expected: "We're even constrained now with land and power and construction workers to set up the data centers." The company announcing the biggest AI deal in history cannot hire enough people to pour concrete. Then he capped the entire industry. He said the industry has the ability to double each year, and will have a hard time growing much faster than that. Now hold that against the target he set at the top of the same interview: He said the semiconductor industry probably has to become 10x larger than it is today over the next decade. Doubling annually clears that on a spreadsheet. But in reality it only happens if land, power and construction crews cooperate every single year for ten years straight. And the demand justifying all of it is a number most people have not heard yet. Jensen is planning for 100 BILLION AI agents and billions of robots using computers. That is the actual bet. 10x the industry, financed by deals where the vendor is also the customer, and gated by how fast you can find electricians. Korea's market did not celebrate any of this by the way. The KOSPI has been falling hard and SK Hynix and Samsung both slumped while the half trillion dollar headline was running. Jensen listed both directions of money and totaled them on camera because he does not think there is anything wrong with it. Maybe there isn't. Chips have to be bought before systems can be sold. But the market is pricing these announcements as demand, and at least half of this one is spending.
1:21

Jensen Huang just admitted Nvidia is paying for BOTH ends of its own $500 billion deal. Every outlet ran the same headline: Nvidia is putting half a trillion dollars into Korea. The largest AI infrastructure commitment ever announced with a single partner. But when asked what was actually inside that number and whether this is Nvidia spending money in the Korean economy, or SK fronting the capital themselves, Jensen said this: "We're gonna be purchasing memories from them for many years to come. In order to build a trillion dollars worth of Vera Rubin systems, you're gonna have to buy a lot of system memories to go with it. And so we have large purchase agreements and large purchase intentions with SK Hynix. Meanwhile, SK Telecom is gonna become an AI cloud. And in that agreement, we will be selling AI supercomputers to them. So between us, we're gonna do $500 billion worth of business." He literally described two completely different transactions and added them together. Nvidia pays SK Hynix for memory chips. SK Telecom pays Nvidia for supercomputers. Both directions get stacked into one figure and handed to the market as demand. A large share of that half trillion dollars is Nvidia's own money going OUT the door. This is the CEO of the most important chip company on Earth. His silicon runs every serious AI system on the planet. If anyone alive could announce a clean half trillion in customer demand, it's him. Instead he announced a number that counts his own supplier payments as "business." But now this is where it gets genuinely crazy... Bloomberg asked how badly Nvidia needs Korean supply to grow. Jensen said Nvidia does not have enough bits. He said the company is constrained in HBM memory, constrained in LPDDR memory, and constrained in just about every part of the supply chain. Then he named the bottleneck nobody expected: "We're even constrained now with land and power and construction workers to set up the data centers." The company announcing the biggest AI deal in history cannot hire enough people to pour concrete. Then he capped the entire industry. He said the industry has the ability to double each year, and will have a hard time growing much faster than that. Now hold that against the target he set at the top of the same interview: He said the semiconductor industry probably has to become 10x larger than it is today over the next decade. Doubling annually clears that on a spreadsheet. But in reality it only happens if land, power and construction crews cooperate every single year for ten years straight. And the demand justifying all of it is a number most people have not heard yet. Jensen is planning for 100 BILLION AI agents and billions of robots using computers. That is the actual bet. 10x the industry, financed by deals where the vendor is also the customer, and gated by how fast you can find electricians. Korea's market did not celebrate any of this by the way. The KOSPI has been falling hard and SK Hynix and Samsung both slumped while the half trillion dollar headline was running. Jensen listed both directions of money and totaled them on camera because he does not think there is anything wrong with it. Maybe there isn't. Chips have to be bought before systems can be sold. But the market is pricing these announcements as demand, and at least half of this one is spending.

Ricardo

35,609 Aufrufe • vor 1 Monat

Andrew Ng, co-founder of Google Brain and Coursera, on the worst career advice being given about AI right now: He doesn't mince words about what he's hearing from supposed experts: "As early as earlier this year and certainly last year, there are a few people advising others to stop learning to write code because AI will automate it." His reasoning is rooted in a historical pattern most people miss: "As something becomes easier, more people should do it, not fewer. When the world moved from assembly language to COBOL, there were actually articles saying, 'Well, we now have COBOL. Programming is so easier. Looks like we don't need programmers anymore.' But the opposite happened." Andrew believes the same thing is happening now with AI-assisted coding: "As we now have AI assisted coding, a lot more people should be coding. And I think the demand for software, custom software, has no practical ceiling. So the cost of software engineering comes down, which it is, we'll just get more and more great software out in the world." But here's where the advice gets uncomfortable for experienced engineers. Andrew Ng is honest about what he's seeing on the ground: "It is true that a fresh college grad that is really on top of AI will outperform a full stack engineer with 10 years of experience that is still doing things they were back in 2022, 3 years ago before GenAI." However, there's a nuance most people miss when they hear that stereotype: "The other piece that is less well appreciated is the best engineers I know are not fresh college grads. They're actually very experienced engineers that deeply understand architecture and the conceptual framework of how to think about computers and additionally are on top of AI and on top of these AI skills."
1:45

Andrew Ng, co-founder of Google Brain and Coursera, on the worst career advice being given about AI right now: He doesn't mince words about what he's hearing from supposed experts: "As early as earlier this year and certainly last year, there are a few people advising others to stop learning to write code because AI will automate it." His reasoning is rooted in a historical pattern most people miss: "As something becomes easier, more people should do it, not fewer. When the world moved from assembly language to COBOL, there were actually articles saying, 'Well, we now have COBOL. Programming is so easier. Looks like we don't need programmers anymore.' But the opposite happened." Andrew believes the same thing is happening now with AI-assisted coding: "As we now have AI assisted coding, a lot more people should be coding. And I think the demand for software, custom software, has no practical ceiling. So the cost of software engineering comes down, which it is, we'll just get more and more great software out in the world." But here's where the advice gets uncomfortable for experienced engineers. Andrew Ng is honest about what he's seeing on the ground: "It is true that a fresh college grad that is really on top of AI will outperform a full stack engineer with 10 years of experience that is still doing things they were back in 2022, 3 years ago before GenAI." However, there's a nuance most people miss when they hear that stereotype: "The other piece that is less well appreciated is the best engineers I know are not fresh college grads. They're actually very experienced engineers that deeply understand architecture and the conceptual framework of how to think about computers and additionally are on top of AI and on top of these AI skills."

Big Brain AI

211,750 Aufrufe • vor 3 Monaten

Sundar Pichai, the CEO of Alphabet, was asked point blank if AI is a bubble. He didn't dodge. He said yes -- partly -- and that not even Google gets out clean: "You see real demand, and we are constrained in our ability to serve that demand." "When we go through these investment cycles, there are moments we overshoot -- collectively, as an industry." "We can look back at the internet: there was clearly a lot of excess investment." "It's both rational, and there are elements of irrationality through a moment like this." "No company is going to be immune, including us. If you overinvest, we'll have to work through that phase." The tell isn't that he admitted the irrationality. It's that the man sitting on the most compute on earth is already pricing in the overshoot -- while telling you the demand underneath it is real. A bubble and a revolution were never mutually exclusive. The internet was both.
1:51

Sundar Pichai, the CEO of Alphabet, was asked point blank if AI is a bubble. He didn't dodge. He said yes -- partly -- and that not even Google gets out clean: "You see real demand, and we are constrained in our ability to serve that demand." "When we go through these investment cycles, there are moments we overshoot -- collectively, as an industry." "We can look back at the internet: there was clearly a lot of excess investment." "It's both rational, and there are elements of irrationality through a moment like this." "No company is going to be immune, including us. If you overinvest, we'll have to work through that phase." The tell isn't that he admitted the irrationality. It's that the man sitting on the most compute on earth is already pricing in the overshoot -- while telling you the demand underneath it is real. A bubble and a revolution were never mutually exclusive. The internet was both.

Karl Mehta

408,954 Aufrufe • vor 1 Monat

CEO of Citadel Ken Griffin says that Data Center spend this year alone is set to be half a trillion dollars, $500 billion He says that AI is useful in some areas but it’s not worth the investment, he says a lot of what it produces “It’s all garbage” “Data center spent in the United States this year, over half a trillion dollars, like over $500 billion. You're not gonna generate this kind of spend unless you're gonna make a promise. You're gonna profoundly change the world. So is it hype? Of course — In certain areas, we know it's gonna be profound, whether it's call centers, whether it's helping to improve the productivity of software engineers, but in a number of white collar jobs, you know, there was a, there was a recent Harvard paper on this, they called it AI work Slop, that it looks good, but if you sort of peel back the onion, the substance isn't there. I was with one of my colleagues who runs our commodities business and they, he handed a report on that we were generated with an AI engine. Doesn't matter what the topic was, the first few sentences, like, wow, that's, that's really insightful. And then you go down below that and it's all garbage.”
1:20

CEO of Citadel Ken Griffin says that Data Center spend this year alone is set to be half a trillion dollars, $500 billion He says that AI is useful in some areas but it’s not worth the investment, he says a lot of what it produces “It’s all garbage” “Data center spent in the United States this year, over half a trillion dollars, like over $500 billion. You're not gonna generate this kind of spend unless you're gonna make a promise. You're gonna profoundly change the world. So is it hype? Of course — In certain areas, we know it's gonna be profound, whether it's call centers, whether it's helping to improve the productivity of software engineers, but in a number of white collar jobs, you know, there was a, there was a recent Harvard paper on this, they called it AI work Slop, that it looks good, but if you sort of peel back the onion, the substance isn't there. I was with one of my colleagues who runs our commodities business and they, he handed a report on that we were generated with an AI engine. Doesn't matter what the topic was, the first few sentences, like, wow, that's, that's really insightful. And then you go down below that and it's all garbage.”

Wall Street Apes

397,984 Aufrufe • vor 4 Monaten

ChatGPT reached 365 billion searches 5.5 times faster than Google. a16z GP David George: “AI is built on the back of the internet and cloud computing. And because of that, it allows for immediate global distribution.” “Because of the nature of this technology, you don't have to deliver a new hardware product. And because we have global internet buildout, and because we have cloud computing, the whole world can access this.” David George
1:16

ChatGPT reached 365 billion searches 5.5 times faster than Google. a16z GP David George: “AI is built on the back of the internet and cloud computing. And because of that, it allows for immediate global distribution.” “Because of the nature of this technology, you don't have to deliver a new hardware product. And because we have global internet buildout, and because we have cloud computing, the whole world can access this.” David George

a16z

60,448 Aufrufe • vor 7 Monaten

Sam Altman: “Concentration of power with AI is a terrifying thing.” "A lot of the talk about safety concerns is well-founded, and then a lot of it is about people that just really, even if it's slightly subconscious, wanna concentrate power. I don't think anyone should want to live in a world of AI overlords, where someone is making decisions for all of the future, and in exchange for a cure for cancer, which obviously is a wonderful thing, we collectively cede all agency. I am terrified of a world where the very real fears of AI are used as a way to say, “Only this small group of people can have it because it's too dangerous, and only they understand it. But don't worry, they're gonna make the right decisions for all of us.” I was a child of the internet. There were no rules. It was amazing, and I think it's critical we preserve that spirit with AI."
1:17

Sam Altman: “Concentration of power with AI is a terrifying thing.” "A lot of the talk about safety concerns is well-founded, and then a lot of it is about people that just really, even if it's slightly subconscious, wanna concentrate power. I don't think anyone should want to live in a world of AI overlords, where someone is making decisions for all of the future, and in exchange for a cure for cancer, which obviously is a wonderful thing, we collectively cede all agency. I am terrified of a world where the very real fears of AI are used as a way to say, “Only this small group of people can have it because it's too dangerous, and only they understand it. But don't worry, they're gonna make the right decisions for all of us.” I was a child of the internet. There were no rules. It was amazing, and I think it's critical we preserve that spirit with AI."

Patrick OShaughnessy

67,444 Aufrufe • vor 1 Monat

Eric Schmidt says the real limit on AI is cash, and he puts one gigawatt of data center at roughly $50 billion: "A gigawatt data center costs something on the order of 50 billion with a B number." "How could these people in my industry be so crazy to raise all that money and build all the data centers? And the answer is they see the demand." "So absent an AI breakthrough algorithmically, which is a change to what is called the transformer architecture which is invented at Google, thank you, in 2017, we're sort of stuck with this cost structure." "And I think the real limit to AI is not energy. It's actually cash." "Because when you add up the cost of these, if you take 50, just round numbers, 50 billion a gigawatt, so 10 gigawatts is half a trillion dollars." "How many companies, countries, and so forth can hand an industry a trillion dollars of capital? Very, very few." Even at the low end of the published estimates, around $38 billion a gigawatt, his arithmetic still puts ten gigawatts in the hundreds of billions, so the conclusion holds. Very few balance sheets can carry that, which means most companies buying AI capacity over the next few years will be renting it from the handful that can. - Eric Schmidt (Eric Schmidt), Chair of the Special Competitive Studies Project and CEO of Relativity Space, at the SCSP AI+ Expo (@SCSPAI), May 2026.
1:13

Eric Schmidt says the real limit on AI is cash, and he puts one gigawatt of data center at roughly $50 billion: "A gigawatt data center costs something on the order of 50 billion with a B number." "How could these people in my industry be so crazy to raise all that money and build all the data centers? And the answer is they see the demand." "So absent an AI breakthrough algorithmically, which is a change to what is called the transformer architecture which is invented at Google, thank you, in 2017, we're sort of stuck with this cost structure." "And I think the real limit to AI is not energy. It's actually cash." "Because when you add up the cost of these, if you take 50, just round numbers, 50 billion a gigawatt, so 10 gigawatts is half a trillion dollars." "How many companies, countries, and so forth can hand an industry a trillion dollars of capital? Very, very few." Even at the low end of the published estimates, around $38 billion a gigawatt, his arithmetic still puts ten gigawatts in the hundreds of billions, so the conclusion holds. Very few balance sheets can carry that, which means most companies buying AI capacity over the next few years will be renting it from the handful that can. - Eric Schmidt (Eric Schmidt), Chair of the Special Competitive Studies Project and CEO of Relativity Space, at the SCSP AI+ Expo (@SCSPAI), May 2026.

Karl Mehta

42,936 Aufrufe • vor 10 Tagen

Brad Gerstner said the quiet part out loud when it comes to ROI on AI spending and what bears are missing about adoption As of today, the big impact and ROI from AI has been on the cost side of the equation, which has come primarily through headcount reductions and efficiencies Brad believes that we are on the cusp of breakthroughs that will change the revenue side of the equation as well Once that takes place, AI platforms such as Anthropic become mission critical for its customers, where you cannot rip it out of your enterprise even if you wanted to Jensen Huang has famously said that all new chip production design at NVIDIA is now happening with the help of AI. In some sense, we already have the futuristic recursive loop of "the machine building the machine." Brad goes on to predict that if Anthropic can end 2026 at a $100B run-rate, there is very real possibility that they will 3-5x again to $300-500 billion in revenue We have never seen anything like this in history
2:52

Brad Gerstner said the quiet part out loud when it comes to ROI on AI spending and what bears are missing about adoption As of today, the big impact and ROI from AI has been on the cost side of the equation, which has come primarily through headcount reductions and efficiencies Brad believes that we are on the cusp of breakthroughs that will change the revenue side of the equation as well Once that takes place, AI platforms such as Anthropic become mission critical for its customers, where you cannot rip it out of your enterprise even if you wanted to Jensen Huang has famously said that all new chip production design at NVIDIA is now happening with the help of AI. In some sense, we already have the futuristic recursive loop of "the machine building the machine." Brad goes on to predict that if Anthropic can end 2026 at a $100B run-rate, there is very real possibility that they will 3-5x again to $300-500 billion in revenue We have never seen anything like this in history

Boring_Business

37,319 Aufrufe • vor 1 Monat