正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

"My favorite enterprise AI service is Cursor. It is an AI coder & every one of our engineers, 100% is now assisted by AI coders & our productivity has gone up incredibly. These companies are some of the fastest-growing companies in world & they address enterprise" — Jensen Huang

DogeDesigner

1,897,685 subscribers

743,107 次观看 • 2 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

$NVDA CEO Jensen Huang said it clearly AI data centers need gigawatts of power. Power availability decides where they get built & GPUs do nothing if the grid cannot feed them. Value is moving to the companies that build & control power for AI.

$NVDA CEO Jensen Huang said it clearly AI data centers need gigawatts of power. Power availability decides where they get built & GPUs do nothing if the grid cannot feed them. Value is moving to the companies that build & control power for AI.

Shay Boloor

362,058 次观看 • 10 个月前

2025 will be the year of IP. In the AI race, compute is growing, but data is not. IP is the fossil fuel of AI, the bottleneck where value accrues. The largest AI companies are all forced buyers of IP. There is no better explanation of our situation & Story's vision than this.

2025 will be the year of IP. In the AI race, compute is growing, but data is not. IP is the fossil fuel of AI, the bottleneck where value accrues. The largest AI companies are all forced buyers of IP. There is no better explanation of our situation & Story's vision than this.

Jason Zhao

123,174 次观看 • 1 年前

Our CEO Jensen Huang and Dell Technologies Chairman & CEO Michael Dell kicked things off at #DellTechWorld in Las Vegas with a look at how the Dell AI Factory with NVIDIA is redefining how companies build, run, and scale AI. We saw NemoClaw powering agentic AI on-prem, robots demonstrating physical AI in the real world, and sessions packed with enterprise use cases.

Our CEO Jensen Huang and Dell Technologies Chairman & CEO Michael Dell kicked things off at #DellTechWorld in Las Vegas with a look at how the Dell AI Factory with NVIDIA is redefining how companies build, run, and scale AI. We saw NemoClaw powering agentic AI on-prem, robots demonstrating physical AI in the real world, and sessions packed with enterprise use cases.

NVIDIA

93,829 次观看 • 2 个月前

NEW: DevRev raises a $100M Series A to build enterprise AI apps & agents - Valued at $1.1B 🦄 The core of their platform is an enterprise knowledge graph that powers AI apps & agents for customer service, product, software engineering, etc. Here's how DevRev works:

NEW: DevRev raises a $100M Series A to build enterprise AI apps & agents - Valued at $1.1B 🦄 The core of their platform is an enterprise knowledge graph that powers AI apps & agents for customer service, product, software engineering, etc. Here's how DevRev works:

Chief AI Officer

11,222 次观看 • 2 年前

Jensen Huang just explained why every company cutting engineers over AI is asking the entirely wrong question. Huang: “People say, I don’t need software engineers because apparently coding is going to be automated.” That was the narrative. Here is what Huang actually did. Huang: “I’ve given AIs to every one of my software engineers and hardware engineers and engineers period. 100% of NVIDIA has AI assistants, AI coders, and they’re busier than ever.” Not fewer engineers. Not smaller teams. Busier than ever. That is the line most companies are getting completely wrong right now. They hear “AI can write code” and immediately start cutting headcount. Huang did the opposite. He armed everyone. Huang: “And so the question is, what is the task versus what is the job? No different than a financial analyst; the task is mess around with spreadsheets, but the job is to make financial advice. The job is to help a customer.” Writing code was always the task. It was never the job. The job is architecture. Knowing what to build. Why it matters. How it fits into a system that actually creates value. Code is the execution layer between the idea and the outcome. Nothing more. When you automate that layer, you don’t eliminate the engineer. You eliminate the bottleneck between what they can envision and what they can ship. The companies using AI to cut headcount are optimizing for cost. The companies using AI to multiply output are optimizing for territory. Nvidia chose territory. Every engineer at the most valuable semiconductor company on Earth now operates with an AI assistant. Not a pilot program. Not an experiment. Company-wide. Every function. Every team. And the result is not less work. It is more work. Faster. At a scale that was physically impossible twelve months ago. The companies that understand the difference between eliminating engineers and unleashing them will build what comes next. The ones that don’t will watch their best talent walk out the door to the ones that did.

Jensen Huang just explained why every company cutting engineers over AI is asking the entirely wrong question. Huang: “People say, I don’t need software engineers because apparently coding is going to be automated.” That was the narrative. Here is what Huang actually did. Huang: “I’ve given AIs to every one of my software engineers and hardware engineers and engineers period. 100% of NVIDIA has AI assistants, AI coders, and they’re busier than ever.” Not fewer engineers. Not smaller teams. Busier than ever. That is the line most companies are getting completely wrong right now. They hear “AI can write code” and immediately start cutting headcount. Huang did the opposite. He armed everyone. Huang: “And so the question is, what is the task versus what is the job? No different than a financial analyst; the task is mess around with spreadsheets, but the job is to make financial advice. The job is to help a customer.” Writing code was always the task. It was never the job. The job is architecture. Knowing what to build. Why it matters. How it fits into a system that actually creates value. Code is the execution layer between the idea and the outcome. Nothing more. When you automate that layer, you don’t eliminate the engineer. You eliminate the bottleneck between what they can envision and what they can ship. The companies using AI to cut headcount are optimizing for cost. The companies using AI to multiply output are optimizing for territory. Nvidia chose territory. Every engineer at the most valuable semiconductor company on Earth now operates with an AI assistant. Not a pilot program. Not an experiment. Company-wide. Every function. Every team. And the result is not less work. It is more work. Faster. At a scale that was physically impossible twelve months ago. The companies that understand the difference between eliminating engineers and unleashing them will build what comes next. The ones that don’t will watch their best talent walk out the door to the ones that did.

Dustin

82,757 次观看 • 5 个月前

Politics will be powered by AI rival companies, so the economics of a huge number of AI products & services will likely rise & fall in significant part based on how close these companies become to & how protected they are by their respective political clans, I told The Arena America First Legal

Politics will be powered by AI rival companies, so the economics of a huge number of AI products & services will likely rise & fall in significant part based on how close these companies become to & how protected they are by their respective political clans, I told The Arena America First Legal

Mike Benz

29,935 次观看 • 3 个月前

OpenAI is adopting the "Palantir model" with forward-deployed engineers and AI consultants for enterprise sales. "It's a model that AI companies are now starting to realize that they actually need people to help sell...” — Sri Muppidi Watch the full episode on TITV.

OpenAI is adopting the "Palantir model" with forward-deployed engineers and AI consultants for enterprise sales. "It's a model that AI companies are now starting to realize that they actually need people to help sell...” — Sri Muppidi Watch the full episode on TITV.

The Information

179,845 次观看 • 6 个月前

“Every company in the world today needs an OpenClaw strategy.” Nvidia is going big on OpenClaw at #NVIDIAGTC through what CEO Jensen Huang calls a “reinvention” of enterprise IT.

“Every company in the world today needs an OpenClaw strategy.” Nvidia is going big on OpenClaw at #NVIDIAGTC through what CEO Jensen Huang calls a “reinvention” of enterprise IT.

TechCrunch

50,996 次观看 • 5 个月前

The reason we’re all in on AI agents at Box is because agents can now process all of the unstructured data in an enterprise at scale. Companies are sitting on mountains of valuable information that they can tap into for the first time.

The reason we’re all in on AI agents at Box is because agents can now process all of the unstructured data in an enterprise at scale. Companies are sitting on mountains of valuable information that they can tap into for the first time.

Aaron Levie

73,694 次观看 • 6 个月前

Agents are becoming a new layer of enterprise software. Jensen Huang explains why companies like Cadence, CrowdStrike, Dassault Systèmes, Palantir, SAP, ServiceNow, Siemens, and Synopsys are building agents on NVIDIA, and why the opportunity for software partners is only growing.

Agents are becoming a new layer of enterprise software. Jensen Huang explains why companies like Cadence, CrowdStrike, Dassault Systèmes, Palantir, SAP, ServiceNow, Siemens, and Synopsys are building agents on NVIDIA, and why the opportunity for software partners is only growing.

NVIDIA

103,167 次观看 • 2 个月前

the IBM earnings reinforced something I think Wall Street is still underestimating: IBM is becoming an operating system for enterprise AI. The initial earnings reaction focused on the familiar metrics—revenue growth, infrastructure, margins and quarterly expectations. But that misses the bigger transformation underway. The AI market is bifurcating. On one side are companies building frontier models. On the other are companies helping enterprises operationalize AI—integrating it with existing systems and data, governing it, securing it, and turning AI into measurable business outcomes. IBM is increasingly positioning itself for that second market. And that's important because the enterprise AI conversation is moving from models to tools, from experimentation to outcomes, and ultimately toward autonomy and agents. IBM has decades of enterprise infrastructure, software, data and consulting relationships sitting underneath that transition. The mainframe isn't necessarily legacy in this world—it can become part of the context and transaction infrastructure AI acts upon. Wall Street initially looked at the quarter. I think the more important question is what IBM is becoming. My commentary below. #IBM #AI #EnterpriseAI #AgenticAI #HybridCloud

the IBM earnings reinforced something I think Wall Street is still underestimating: IBM is becoming an operating system for enterprise AI. The initial earnings reaction focused on the familiar metrics—revenue growth, infrastructure, margins and quarterly expectations. But that misses the bigger transformation underway. The AI market is bifurcating. On one side are companies building frontier models. On the other are companies helping enterprises operationalize AI—integrating it with existing systems and data, governing it, securing it, and turning AI into measurable business outcomes. IBM is increasingly positioning itself for that second market. And that's important because the enterprise AI conversation is moving from models to tools, from experimentation to outcomes, and ultimately toward autonomy and agents. IBM has decades of enterprise infrastructure, software, data and consulting relationships sitting underneath that transition. The mainframe isn't necessarily legacy in this world—it can become part of the context and transaction infrastructure AI acts upon. Wall Street initially looked at the quarter. I think the more important question is what IBM is becoming. My commentary below. #IBM #AI #EnterpriseAI #AgenticAI #HybridCloud

John Furrier

47,663 次观看 • 1 个月前

BREAKING: Jensen Huang says the biggest mistake people make about AI is seeing it as a threat, instead of a tool to amplify human potential. AI won’t destroy human jobs but will rebuild American industry & create a massive new wave of builders, technicians, engineers, & makers.

BREAKING: Jensen Huang says the biggest mistake people make about AI is seeing it as a threat, instead of a tool to amplify human potential. AI won’t destroy human jobs but will rebuild American industry & create a massive new wave of builders, technicians, engineers, & makers.

DogeDesigner

125,873 次观看 • 2 个月前

The transformative potential of AI is being realized in the business world. Our announcement that we are working with McKinsey & Company on bespoke AI enterprise solutions marks a major step forward for the sector.

The transformative potential of AI is being realized in the business world. Our announcement that we are working with McKinsey & Company on bespoke AI enterprise solutions marks a major step forward for the sector.

Cohere

5,695,558 次观看 • 3 年前

Digital Labor is here, transforming productivity without growing the workforce. Economics is being rewritten & businesses are reaching horizons once thought impossible. The age of AI agents is now. ❤️🤖Read my analysis of the implications:

Digital Labor is here, transforming productivity without growing the workforce. Economics is being rewritten & businesses are reaching horizons once thought impossible. The age of AI agents is now. ❤️🤖Read my analysis of the implications:

Marc Benioff

63,178 次观看 • 1 年前

$MSFT is trading at a decade-low valuation because the market is focused on the near-term cost of AI while underpricing Microsoft’s role as one of the most important enterprise AI platforms in the world. The bigger shift is that Microsoft may move from only monetizing users to monetizing work where companies eventually pay not just for employee licenses but for the AI work being performed around each employee. That creates a ton of upside if Microsoft can monetize agents, tokens, workflows, security, governance and productivity across the enterprise stack in the new AI economy.

$MSFT is trading at a decade-low valuation because the market is focused on the near-term cost of AI while underpricing Microsoft’s role as one of the most important enterprise AI platforms in the world. The bigger shift is that Microsoft may move from only monetizing users to monetizing work where companies eventually pay not just for employee licenses but for the AI work being performed around each employee. That creates a ton of upside if Microsoft can monetize agents, tokens, workflows, security, governance and productivity across the enterprise stack in the new AI economy.

Shay Boloor

606,243 次观看 • 2 个月前

🚨 THE AI COST BUBBLE IS GETTING WORSE. Companies pushed employees to “tokenmaxx” and aggressively use AI tools to boost productivity scores, but agentic AI can consume up to 1,000x more tokens than normal AI queries. Now the same companies that hyped AI cost savings are discovering that heavy AI usage is actually exploding operating costs instead of reducing them.

🚨 THE AI COST BUBBLE IS GETTING WORSE. Companies pushed employees to “tokenmaxx” and aggressively use AI tools to boost productivity scores, but agentic AI can consume up to 1,000x more tokens than normal AI queries. Now the same companies that hyped AI cost savings are discovering that heavy AI usage is actually exploding operating costs instead of reducing them.

Crypto Rover

69,155 次观看 • 3 个月前

"It is our job to create technology such that nobody has to program. Everybody in the world is now a programmer. This is the miracle of AI. For the very first time, we have closed the gap, the technology divide." ~ Nvidia CEO Jensen Huang

"It is our job to create technology such that nobody has to program. Everybody in the world is now a programmer. This is the miracle of AI. For the very first time, we have closed the gap, the technology divide." ~ Nvidia CEO Jensen Huang

Rohan Paul

21,438 次观看 • 6 个月前

Jensen Huang says the AI productivity story is already showing up in software output - and he thinks the "AI will reduce jobs" narrative is wrong. "In the first few months of 2026, it has nearly tripled." "30 million software developers, representing about $3 trillion worth of GDP, are now producing nearly three times as much output." "That $3 trillion worth of salary is now producing nearly $9 trillion worth of output." "This is the potential. This is the promise of AI." "People talk about AI reducing jobs. Complete nonsense. It's causing more software engineers to be hired." His logic is simple: If a software engineer can create 3x more output with AI, companies do not stop hiring engineers. They want more of them. The bottleneck moves from typing code to deciding what to build, orchestrating systems, and turning that output into products customers actually use.

Jensen Huang says the AI productivity story is already showing up in software output - and he thinks the "AI will reduce jobs" narrative is wrong. "In the first few months of 2026, it has nearly tripled." "30 million software developers, representing about $3 trillion worth of GDP, are now producing nearly three times as much output." "That $3 trillion worth of salary is now producing nearly $9 trillion worth of output." "This is the potential. This is the promise of AI." "People talk about AI reducing jobs. Complete nonsense. It's causing more software engineers to be hired." His logic is simple: If a software engineer can create 3x more output with AI, companies do not stop hiring engineers. They want more of them. The bottleneck moves from typing code to deciding what to build, orchestrating systems, and turning that output into products customers actually use.

Karl Mehta

13,780 次观看 • 1 个月前