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Jensen Huang explains the difference between AI and traditional Software and why there's no bubble. Traditional software was pre-compiled, meaning it was built once, stored, and then executed repeatedly with little computation. It didn’t need constant high-power processing once finished. Users simply ran the completed program as a tool.... AI, by contrast, generates its output in real time. It must process context, reason, and produce intelligence at the moment of use, not in advance. This requires ongoing computation for every request. Because of that, AI systems depend on continuous GPU power to “manufacture” responses like a factory producing tokens. So instead of static software tools, AI is an active computational process that needs large-scale, always-on infrastructure to create intelligence dynamically. --- From 'FT Live' YT channel (link in comment)show more

Rohan Paul

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760,734 views • 7 months ago •via X (Twitter)

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Jensen Huang says computing is no longer pre-recorded or pre-compiled. Traditional software like Excel ran the same for everyone now AI adapts to each user and moment. Every sound, pixel, and output is generated in real time based on context. This requires massively more compute, as software now thinks before it responds. It marks a fundamental shift: software isn’t static—it’s alive and reactive.

Jensen Huang says computing is no longer pre-recorded or pre-compiled. Traditional software like Excel ran the same for everyone now AI adapts to each user and moment. Every sound, pixel, and output is generated in real time based on context. This requires massively more compute, as software now thinks before it responds. It marks a fundamental shift: software isn’t static—it’s alive and reactive.

Wes Roth

24,319 views • 4 months ago

Jensen Huang says we’ve passed the point of no return. “Software is not just a tool. Now software uses tools.” For the first time, intelligence is generated in real time as tokens. Now that it’s profitable, the only option is to scale. “We just have to make more of it.”

Jensen Huang says we’ve passed the point of no return. “Software is not just a tool. Now software uses tools.” For the first time, intelligence is generated in real time as tokens. Now that it’s profitable, the only option is to scale. “We just have to make more of it.”

vitrupo

28,307 views • 4 months ago

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)

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 views • 28 days ago

Its time Indian youth and parents give up on Engineering Graduation especially in IT AI will do a better job at building software. And to use AI to build software you do not need to go to the process of getting a Engineering Degree.

Its time Indian youth and parents give up on Engineering Graduation especially in IT AI will do a better job at building software. And to use AI to build software you do not need to go to the process of getting a Engineering Degree.

Woke Eminent

171,090 views • 5 months ago

AI agents are set to modernize the trillions of dollars of traditional software industry for the age of AI. Here, Jensen Huang explains that and why hundreds of billions of dollars of VC money is getting invested in AI now 🎯 video from CES 2026

AI agents are set to modernize the trillions of dollars of traditional software industry for the age of AI. Here, Jensen Huang explains that and why hundreds of billions of dollars of VC money is getting invested in AI now 🎯 video from CES 2026

Rohan Paul

18,733 views • 4 months ago

Jensen is pushing back on the AI will kill all software narrative just like he pushed back last year on the DeepSeek panic. He was right then. He will be right again. "There's this notion that .. the software industry is in decline and will be replaced by AI. You could tell because there's a whole bunch of software companies whose stock prices are under a lot of pressure. Because somehow AI is going to replace them. It is the most illogical thing in the world and time will prove itself. .. If you were an artificial general intelligence, would you use the tools like ServiceNow and SAP and Cadence and Synopsys? Or would you reinvent a calculator? Of course, you would just use a calculator."

Jensen is pushing back on the AI will kill all software narrative just like he pushed back last year on the DeepSeek panic. He was right then. He will be right again. "There's this notion that .. the software industry is in decline and will be replaced by AI. You could tell because there's a whole bunch of software companies whose stock prices are under a lot of pressure. Because somehow AI is going to replace them. It is the most illogical thing in the world and time will prove itself. .. If you were an artificial general intelligence, would you use the tools like ServiceNow and SAP and Cadence and Synopsys? Or would you reinvent a calculator? Of course, you would just use a calculator."

tae kim

112,469 views • 4 months ago

On Bloomberg last night, I was asked why Amazon drives more than a third of U.S. e-commerce. It is not because of their storefront. It is not because of their payments. It is not even because of product selection. It is because consumers trust their deliveries. That trust is built on physical infrastructure at scale with intelligence layered on top. And that is what Stord is building for every independent merchant. The most defensible companies in the world combine software intelligence with physical execution. Today, 9 of the 10 largest U.S. companies by revenue operate physical networks at scale. Software alone cannot replicate the outcomes created when you control the movement of physical atoms. That is the physical intelligence layer for commerce. And that is what Stord Labs is built to advance. Deploying AI and robotics against real operational complexity, in the real world, across a vertically integrated network operating at scale. Bloomberg TV

On Bloomberg last night, I was asked why Amazon drives more than a third of U.S. e-commerce. It is not because of their storefront. It is not because of their payments. It is not even because of product selection. It is because consumers trust their deliveries. That trust is built on physical infrastructure at scale with intelligence layered on top. And that is what Stord is building for every independent merchant. The most defensible companies in the world combine software intelligence with physical execution. Today, 9 of the 10 largest U.S. companies by revenue operate physical networks at scale. Software alone cannot replicate the outcomes created when you control the movement of physical atoms. That is the physical intelligence layer for commerce. And that is what Stord Labs is built to advance. Deploying AI and robotics against real operational complexity, in the real world, across a vertically integrated network operating at scale. Bloomberg TV

Sean Henry

1,274,996 views • 1 month ago

Jensen Huang on why the AI industry is significantly larger than traditional software industry. Software is “tools”, while AIs are “workers”:

Jensen Huang on why the AI industry is significantly larger than traditional software industry. Software is “tools”, while AIs are “workers”:

Chubby♨️

45,416 views • 8 months ago

The new bar for software: "can I vibecode this?" We’re heading into a world of personal software — built for one person and their needs — and premium software, designed with such depth that you’re buying a solution, not a tool. Most software today sits in the middle. And the middle is death. As the market catches up to our new reality, it won’t just be the ai bubble popping — it’ll be a lot of traditional SaaS getting wiped out (From my recent Kinference talk.)

The new bar for software: "can I vibecode this?" We’re heading into a world of personal software — built for one person and their needs — and premium software, designed with such depth that you’re buying a solution, not a tool. Most software today sits in the middle. And the middle is death. As the market catches up to our new reality, it won’t just be the ai bubble popping — it’ll be a lot of traditional SaaS getting wiped out (From my recent Kinference talk.)

Carl Rivera

98,551 views • 7 months ago

Jensen Huang just replaced the most important metric in global economics. Not trade volume. Not oil output. Not manufacturing. Compute. Huang: “Compute equals GDP. I know that for certain.” He did not say probably. He said certain. If your nation does not produce compute, it does not produce intelligence. If it does not produce intelligence, it does not produce revenue. Two links in the chain. Miss one and the whole thing breaks. Huang: “Not one country in the future will say, ‘Guess what, we’re gonna opt out on intelligence.’” Because opting out of compute is not a strategic decision. It is an extinction schedule. Every country that does not build its own inference capacity becomes a tenant in someone else’s infrastructure. Not an ally. Not a partner. A dependent. And dependents do not negotiate terms. They accept them. But this is not just a story about nations. Huang: “The entire software industry will be token-driven.” Every product. Every platform. Every service you touch. The entire business model of software is about to be measured in tokens consumed. Not seats sold. Not licenses renewed. Tokens burned. Software used to be a thing you bought. Now it is a thing that thinks. And thinking costs compute. Every query. Every action. Every decision the machine makes on your behalf. The meter is always running. Huang: “The entire internet industry could take 100% of their CapEx and make it AI because it’s better.” Not ten percent. Not a pilot program. One hundred percent. The moment any internet service rebuilds itself on generative intelligence, it outperforms every version that came before it. Search. Ads. Recommendation. Infrastructure. All of it. Better on contact. CapEx follows. All of it. Trillions moving in one direction with no offramp. The companies still budgeting AI as a line item are telling you exactly how much they understand. AI is not the line item. AI is the budget. The global economy is being re-denominated in a currency most people have not even heard of yet. Tokens. Whoever controls the supply of that currency is not playing in the new economy. They are the house. And the house does not lose.

Jensen Huang just replaced the most important metric in global economics. Not trade volume. Not oil output. Not manufacturing. Compute. Huang: “Compute equals GDP. I know that for certain.” He did not say probably. He said certain. If your nation does not produce compute, it does not produce intelligence. If it does not produce intelligence, it does not produce revenue. Two links in the chain. Miss one and the whole thing breaks. Huang: “Not one country in the future will say, ‘Guess what, we’re gonna opt out on intelligence.’” Because opting out of compute is not a strategic decision. It is an extinction schedule. Every country that does not build its own inference capacity becomes a tenant in someone else’s infrastructure. Not an ally. Not a partner. A dependent. And dependents do not negotiate terms. They accept them. But this is not just a story about nations. Huang: “The entire software industry will be token-driven.” Every product. Every platform. Every service you touch. The entire business model of software is about to be measured in tokens consumed. Not seats sold. Not licenses renewed. Tokens burned. Software used to be a thing you bought. Now it is a thing that thinks. And thinking costs compute. Every query. Every action. Every decision the machine makes on your behalf. The meter is always running. Huang: “The entire internet industry could take 100% of their CapEx and make it AI because it’s better.” Not ten percent. Not a pilot program. One hundred percent. The moment any internet service rebuilds itself on generative intelligence, it outperforms every version that came before it. Search. Ads. Recommendation. Infrastructure. All of it. Better on contact. CapEx follows. All of it. Trillions moving in one direction with no offramp. The companies still budgeting AI as a line item are telling you exactly how much they understand. AI is not the line item. AI is the budget. The global economy is being re-denominated in a currency most people have not even heard of yet. Tokens. Whoever controls the supply of that currency is not playing in the new economy. They are the house. And the house does not lose.

Dustin

42,402 views • 3 months ago

AI instead of UI The last few years radically changed how we think about digital products & product design process in general. What we are witnessing right now is a transition where AI is no longer just a feature; it is becoming the infrastructure of interaction. For decades, UI design was rooted in the concept of “Happy Path,” a series of static, linear screens (routes from A to B) designed to funnel users toward a goal. This “one-size-fits-all” approach assumes that all users have the same mental model, which is far from the truth. The rise of AI tools like ChatGPT and Gemini is showing that we are moving into an era of Generative Interfaces. Instead of a designer pre-determining every button and menu, the interface is synthesized in real-time based on user actions. Back in 2019, Gleb Kuznetsov and I were working on the concept of morphing Interface, the idea of a UI that adapts its structure based on user intent. The great thing about this UI is that it was highly dynamic: different users saw different content/contextual actions based on their behavior. This concept was crazy in 2019, but it is highly relevant to the modern state of the product design process. And I strongly believe that it represents the future of UI design. We will move beyond the “AI chatbox" crutch Yes, many products today treat AI as a sidecar (think of Copilots or chatbots pinned to the side of a traditional dashboard), but this is a transitional phase. Why? Because adding a chat window to a 20-year-old software layout is like putting a jet engine on a horse-drawn carriage. That's why the future isn't "AI as an add-on"; it is AI as the Operating System. AI will power generative interfaces that are rooted in anticipatory design: UI won’t wait for a command; it will surface tools based on the user's current environmental context and historical behavior. This evolution changes the very nature of product design, and we will move away from designing pages/screens and toward designing systems of logic.

AI instead of UI The last few years radically changed how we think about digital products & product design process in general. What we are witnessing right now is a transition where AI is no longer just a feature; it is becoming the infrastructure of interaction. For decades, UI design was rooted in the concept of “Happy Path,” a series of static, linear screens (routes from A to B) designed to funnel users toward a goal. This “one-size-fits-all” approach assumes that all users have the same mental model, which is far from the truth. The rise of AI tools like ChatGPT and Gemini is showing that we are moving into an era of Generative Interfaces. Instead of a designer pre-determining every button and menu, the interface is synthesized in real-time based on user actions. Back in 2019, Gleb Kuznetsov and I were working on the concept of morphing Interface, the idea of a UI that adapts its structure based on user intent. The great thing about this UI is that it was highly dynamic: different users saw different content/contextual actions based on their behavior. This concept was crazy in 2019, but it is highly relevant to the modern state of the product design process. And I strongly believe that it represents the future of UI design. We will move beyond the “AI chatbox" crutch Yes, many products today treat AI as a sidecar (think of Copilots or chatbots pinned to the side of a traditional dashboard), but this is a transitional phase. Why? Because adding a chat window to a 20-year-old software layout is like putting a jet engine on a horse-drawn carriage. That's why the future isn't "AI as an add-on"; it is AI as the Operating System. AI will power generative interfaces that are rooted in anticipatory design: UI won’t wait for a command; it will surface tools based on the user's current environmental context and historical behavior. This evolution changes the very nature of product design, and we will move away from designing pages/screens and toward designing systems of logic.

Nick Babich

53,208 views • 4 months ago

The SaaSpocalypse narrative is starting to make less and less sense. Software companies like $PLTR, $NOW, and $CRM are getting punished because investors believe AI will replace SaaS. Jensen Huang disagrees. “Claude can write software.” That’s true. But Jensen argues that enterprises aren’t going to build their own software. They’re going to deploy AI agents that use software tools to get work done. “Agents won’t replace tools. Agents will use tools.” NVIDIA is already seeing this happen. According to Jensen, the company has deployed so many AI agents that tool usage is actually increasing. That’s the exact opposite of the SaaSpocalypse thesis.

The SaaSpocalypse narrative is starting to make less and less sense. Software companies like $PLTR, $NOW, and $CRM are getting punished because investors believe AI will replace SaaS. Jensen Huang disagrees. “Claude can write software.” That’s true. But Jensen argues that enterprises aren’t going to build their own software. They’re going to deploy AI agents that use software tools to get work done. “Agents won’t replace tools. Agents will use tools.” NVIDIA is already seeing this happen. According to Jensen, the company has deployed so many AI agents that tool usage is actually increasing. That’s the exact opposite of the SaaSpocalypse thesis.

Daniel

119,760 views • 10 days ago

Former Goldman Sachs executive Raoul Pal explains how AI is going to eat traditional software/SAAS. If your product is just software, agentic AI can reproduce it on demand, optimize it, and redeploy it to a better market. "Agentic AI means it’s like having Fiverr, a website of experts you can ask any question. It’ll go away and do the task.... Agentic AI will build, design the website, code it, register the domain name, figure out the branding, figure out the marketing, figure out the email list, figure out the whole thing. So then you and I are in competition. You’ve built this incredible new website. I just go to my AI and say, “Love Steven’s website. Can you just build it better. Boom. 3 minutes. How can we be entrepreneurs in software? Now there’s this theory going around that AI is going to eat software, and I kind of get it." ---- From 'The Diary Of A CEO and Raoul Pal The Journey Man' YT channel. (link in comment)

Former Goldman Sachs executive Raoul Pal explains how AI is going to eat traditional software/SAAS. If your product is just software, agentic AI can reproduce it on demand, optimize it, and redeploy it to a better market. "Agentic AI means it’s like having Fiverr, a website of experts you can ask any question. It’ll go away and do the task.... Agentic AI will build, design the website, code it, register the domain name, figure out the branding, figure out the marketing, figure out the email list, figure out the whole thing. So then you and I are in competition. You’ve built this incredible new website. I just go to my AI and say, “Love Steven’s website. Can you just build it better. Boom. 3 minutes. How can we be entrepreneurs in software? Now there’s this theory going around that AI is going to eat software, and I kind of get it." ---- From 'The Diary Of A CEO and Raoul Pal The Journey Man' YT channel. (link in comment)

Rohan Paul

16,948 views • 4 days ago

Former Goldman Sachs executive Raoul Pal explains how AI is going to eat traditional software/SAAS. If your product is just software, agentic AI can reproduce it on demand, optimize it, and redeploy it to a better market. "Agentic AI means it’s like having Fiverr, a website of experts you can ask any question. It’ll go away and do the task.... Agentic AI will build, design the website, code it, register the domain name, figure out the branding, figure out the marketing, figure out the email list, figure out the whole thing. So then you and I are in competition. You’ve built this incredible new website. I just go to my AI and say, “Love Steven’s website. Can you just build it better. Boom. 3 minutes. How can we be entrepreneurs in software? Now there’s this theory going around that AI is going to eat software, and I kind of get it." ---- From 'The Diary Of A CEO and Raoul Pal The Journey Man' YT channel. (link in comment)

Former Goldman Sachs executive Raoul Pal explains how AI is going to eat traditional software/SAAS. If your product is just software, agentic AI can reproduce it on demand, optimize it, and redeploy it to a better market. "Agentic AI means it’s like having Fiverr, a website of experts you can ask any question. It’ll go away and do the task.... Agentic AI will build, design the website, code it, register the domain name, figure out the branding, figure out the marketing, figure out the email list, figure out the whole thing. So then you and I are in competition. You’ve built this incredible new website. I just go to my AI and say, “Love Steven’s website. Can you just build it better. Boom. 3 minutes. How can we be entrepreneurs in software? Now there’s this theory going around that AI is going to eat software, and I kind of get it." ---- From 'The Diary Of A CEO and Raoul Pal The Journey Man' YT channel. (link in comment)

Rohan Paul

48,418 views • 3 months ago

Jensen Huang says agentic AI is not a chatbot. It is a "digital robot" -- and the next bottleneck is not the model. It is first-person data. "Agentic AI is just a digital robot. It understands, it reasons, it plans, and it acts and uses tools." Then he makes the bigger jump: "The world's video data is from a third person, not first person. And so agentic systems, robotic systems, physical AI -- the data is the hardest problem." That is the hidden constraint in robotics. LLMs got the internet. Physical AI needs demonstrations, synthetic worlds, reinforcement learning, and first-person experience. This is why Jensen keeps calling it a stack: robots are not waiting for one magical model. They need the data engine, the simulator, the reward system, the runtime, and the computer. The next wave of AI is not just software that talks. It is software that sees, plans, acts, and eventually moves through the world.

Jensen Huang says agentic AI is not a chatbot. It is a "digital robot" -- and the next bottleneck is not the model. It is first-person data. "Agentic AI is just a digital robot. It understands, it reasons, it plans, and it acts and uses tools." Then he makes the bigger jump: "The world's video data is from a third person, not first person. And so agentic systems, robotic systems, physical AI -- the data is the hardest problem." That is the hidden constraint in robotics. LLMs got the internet. Physical AI needs demonstrations, synthetic worlds, reinforcement learning, and first-person experience. This is why Jensen keeps calling it a stack: robots are not waiting for one magical model. They need the data engine, the simulator, the reward system, the runtime, and the computer. The next wave of AI is not just software that talks. It is software that sees, plans, acts, and eventually moves through the world.

Karl Mehta

13,608 views • 3 days ago

$NOW CEO Bill McDermott says the market is pricing in fear that LLMs could replace large parts of enterprise software. But in an AI economy where companies need to operationalize agentic AI safely, ServiceNow looks more like the control layer for governance, context, routing and oversight. The market is still struggling to separate software that gets disrupted by AI from software that becomes more valuable because AI needs exactly that control layer. I think ServiceNow sits much closer to the second bucket.

$NOW CEO Bill McDermott says the market is pricing in fear that LLMs could replace large parts of enterprise software. But in an AI economy where companies need to operationalize agentic AI safely, ServiceNow looks more like the control layer for governance, context, routing and oversight. The market is still struggling to separate software that gets disrupted by AI from software that becomes more valuable because AI needs exactly that control layer. I think ServiceNow sits much closer to the second bucket.

Shay Boloor

264,328 views • 2 months ago

Everyone’s talking about what Jensen said at GTC about AI capex. But the most important thing he said got almost no attention — that software companies are about to become the biggest resellers of AI tokens in the world. Think about what that means. Workday buys raw intelligence from OpenAI. Wraps it in HR domain expertise. Sells it back as an AI product at a massive markup. That’s not a software company anymore. That’s a refinery. And right now nobody is tracking the economics of that refining layer — what the crude costs, what the refined product sells for, and who’s capturing the spread. This is the most important data gap in AI right now. More on this soon. $NVDA

Everyone’s talking about what Jensen said at GTC about AI capex. But the most important thing he said got almost no attention — that software companies are about to become the biggest resellers of AI tokens in the world. Think about what that means. Workday buys raw intelligence from OpenAI. Wraps it in HR domain expertise. Sells it back as an AI product at a massive markup. That’s not a software company anymore. That’s a refinery. And right now nobody is tracking the economics of that refining layer — what the crude costs, what the refined product sells for, and who’s capturing the spread. This is the most important data gap in AI right now. More on this soon. $NVDA

Midnight Capital LLC

40,075 views • 3 months ago

Microsoft CEO Nadella explains how the real power of AI is transformation. Docs become websites, websites become apps, and firms scale decisions that once took hours into minutes. "what’s the real difference between a document, a website, and an application? It’s the lack of software that can transform itself. Interestingly enough, AI finally gives us that. I can write a document and say, “No, I don’t want it as a document. I want it as a website,” and it will transform that document, using code, into a website. Then I can say, “I don’t like the website. I want an app,” and it will write more code to transform it." --- Microsoft CEO Satya Nadella and BlackRock Chairman & CEO Larry Fink at the World Economic Forum in Davos. From 'DRM News' YT Channel (link in comment)

Microsoft CEO Nadella explains how the real power of AI is transformation. Docs become websites, websites become apps, and firms scale decisions that once took hours into minutes. "what’s the real difference between a document, a website, and an application? It’s the lack of software that can transform itself. Interestingly enough, AI finally gives us that. I can write a document and say, “No, I don’t want it as a document. I want it as a website,” and it will transform that document, using code, into a website. Then I can say, “I don’t like the website. I want an app,” and it will write more code to transform it." --- Microsoft CEO Satya Nadella and BlackRock Chairman & CEO Larry Fink at the World Economic Forum in Davos. From 'DRM News' YT Channel (link in comment)

Rohan Paul

15,710 views • 13 days ago

Microsoft CEO Nadella explains how the real power of AI is transformation. Docs become websites, websites become apps, and firms scale decisions that once took hours into minutes. "what’s the real difference between a document, a website, and an application? It’s the lack of software that can transform itself. Interestingly enough, AI finally gives us that. I can write a document and say, “No, I don’t want it as a document. I want it as a website,” and it will transform that document, using code, into a website. Then I can say, “I don’t like the website. I want an app,” and it will write more code to transform it." --- Microsoft CEO Satya Nadella and BlackRock Chairman & CEO Larry Fink at the World Economic Forum in Davos. From 'DRM News' YT Channel (link in comment)

Microsoft CEO Nadella explains how the real power of AI is transformation. Docs become websites, websites become apps, and firms scale decisions that once took hours into minutes. "what’s the real difference between a document, a website, and an application? It’s the lack of software that can transform itself. Interestingly enough, AI finally gives us that. I can write a document and say, “No, I don’t want it as a document. I want it as a website,” and it will transform that document, using code, into a website. Then I can say, “I don’t like the website. I want an app,” and it will write more code to transform it." --- Microsoft CEO Satya Nadella and BlackRock Chairman & CEO Larry Fink at the World Economic Forum in Davos. From 'DRM News' YT Channel (link in comment)

Rohan Paul

25,556 views • 5 months ago

Chief Strategy Officer at Circle (Circle $CRCL) Dante Disparte (Dante Disparte) says stablecoins will play a critical role in the developing agentic economy: "The next big frontier breakthrough for stablecoins is going to be agentic commerce and economic activity." "At [the] core it's software, and software will invariably speak to software..." "We ran the world's first AI-led, AI-judged, and AI-only hackathon with Claude bots last month". "Once the agents literally got going, there was an economic flywheel of activity. The agents competed like they would in a traditional hackathon and the best idea won and the entire economy of this project was paid for in USDC."

Chief Strategy Officer at Circle (Circle $CRCL) Dante Disparte (Dante Disparte) says stablecoins will play a critical role in the developing agentic economy: "The next big frontier breakthrough for stablecoins is going to be agentic commerce and economic activity." "At [the] core it's software, and software will invariably speak to software..." "We ran the world's first AI-led, AI-judged, and AI-only hackathon with Claude bots last month". "Once the agents literally got going, there was an economic flywheel of activity. The agents competed like they would in a traditional hackathon and the best idea won and the entire economy of this project was paid for in USDC."

etn.

11,791 views • 2 months ago