NVIDIA's NemoClaw + OpenClaw AI Agents Just Changed Everything!

NVIDIA's NemoClaw just dropped and there's a number that keeps showing up when people talk about OpenClaw. One hour. That's how long it took one developer and Austrian software engineer sitting at his desk in Vienna to build the first version of what would become the most talked about AI tool of 2026. One hour.

And by the time February rolled around, that one hour project had 1.5 million AI agents created by users on the platform. It overtaken React on GitHub with over 208,000 stars. It had Sam Altman opening eye calling Steinberger a genius. It had Meta, Microsoft, and every major AI lab in the world calling him on the phone.

And today at NVIDIA's biggest event of the year, Jensen Huang walked on stage in front of 30,000 people in San Jose pointing to OpenClaw and said, something that should stop every business owner, every manager, every founder dead in their tracks. Every single company in the world today has to have an OpenClaw strategy. That's what Jensen Huang said. Something that should think about, not might want to explore, has to have.

And that is the CEO of the most valuable chip company on earth, a company that powers the AI systems of Google, Microsoft, Amazon, and Meta, standing in front of thousands of the world's top developers and saying, this is the new computer. And today, NVIDIA just made it safe enough for your company to actually use it. That is what Nemaclaw is. That's what today is about.

If you're running a business, managing a team, or trying to figure out where AI is actually going, this episode is for you. Let me walk you through the whole thing. So first, let me make sure everyone is on the same page about what OpenClaw actually is, because this is not another chatbot. This is not ChatGPT with a different name.

What OpenClaw does is fundamentally different from anything most people have used before. This can actually do things. It can run files locally on your computer, it can do all sorts of things. Now, here's where the story gets a bit complicated, and this is the part that most people glossed over in the excitement.

OpenClaw blew up, millions of people downloaded it, developers built thousands of add-ons for it called Skills, but security researchers found 341 milliliter Skills on ClawHub with a 12% contamination rate, meaning roughly one in eight of those downloadable add-ons was doing something dangerous in the background. Meta actually restricted its own employees from OpenClaw, and a Meta AI safety researcher, the person whose entire job is to think about the risks of AI systems, had an AI agent delete her emails about being told to. In March 2026, Chinese authorities restricted state-run enterprises and government agencies from running OpenClaw apps on office computers in order to diffuse potential security risks. And OpenClaw was one of the fastest growing AI tools in history, it still is.

It was also, for most companies, completely unusable in a professional setting, too unpredictable, too risky, no guardrails, no security controls, and no way to know what it was really doing with your data. The dream was real, but the dream had a problem, and that's the gap that NVIDIA just announced its closing. So here's what NemoClaw actually is and why it matters so much. NVIDIA is an open-source stack that simplifies running always-on OpenClaw assistance with NemoClaw more safely and with a single command.

It installs the NVIDIA OpenShell runtime, part of the NVIDIA Agent Toolkit, a secure environment for running autonomous agents, and open-source models like NVIDIA NemoTron. NVIDIA's deploying autonomous agents across proprietary workflows need governance, isolation, and control. OpenShell defines how agents access data, use tools, and operate within policy boundaries. Let me just translate that out of tech speak.

You know how when you hire a contractor to work in your office, for example, you don't just hand them the keys and let them wander around, right? You give them a badge. You set rules about which rooms they can enter. You tell them what they can and can't touch.

You log when they come and go. That is OpenShell. That is NemoClaw. It's the same OpenClaw agent, same capability, same power, but it now runs inside a set of walls.

It knows what it's allowed to do. It knows what it's allowed to touch. Your company's private data stays private. Your agent doesn't just go rogue and start deleting emails.

And Jensen Huang described it simply as the keynote. It finds OpenClaw. It downloads it. It builds you an AI agent.

One command, and that's all it takes to set up now. And here's the strategic genius of what NVIDIA just did, because this is not just a safety announcement. This is a power move. NVIDIA has built its entire empire, aka GPUs, the chips inside computers that make AI run fast.

For years, NVIDIA has dominated AI because its hardware is simply the best hardware for training running AI models. But there has always been a question hanging over the company. What happens when the hardware was slowed down? What happens when chips become commodities?

That's basically what you're looking at with NVIDIA's answer, right? NVIDIA's answer for years has always been CUDA. CUDA is a programming system that NVIDIA built. That makes it much easier to write software that runs on NVIDIA chips.

Once developers learned CUDA, they built their tools on CUDA, right? Once tools were built on that, companies had to use it. And once companies used it, they had to use NVIDIA chips. The software created a moat around the hardware.

Nemaclaw is CUDA for the age of AI agents. By making Nemaclaw freely available, NVIDIA accelerates enterprise adoption whilst ensuring every deployment runs on NVIDIA infrastructure. Nemaclaw mirrors the strategy that made CUDA an unbreakable competitive moat, but extends it into the fastest growing segment of AI, aka autonomous agents. And think about the scale of that play.

Every company that uses Nemaclaw to deploy AI agents is running those agents on NVIDIA's OpenShell runtime, on NVIDIA's Nematron models, ideally on NVIDIA hardware, the RTX Pro 6000 Blackwell workstations with up to 4000 T-OPS of local AI compute and 96GB of GPU memory. NVIDIA is giving away the software layer to cement control of the hardware layer. And they're doing it at exactly the same moment when companies have started to seriously ask, how do we actually deploy AI agents safely inside our business? The timing isn't an accident.

Now let me tell you what this actually looks like in practice for a real company. Because I think a lot of people hear AI agents and imagine something very science fiction, very abstract, something that exists in a lab somewhere and will maybe affect them in 10 years. That's not what's happening. Artificial intelligence is moving from simple prompt-based tools to intelligent, long-running systems that reason, plan and act.

These autonomous agents do not just generate text. They can write code, call tools, analyze data, simulate outcomes and continuously improve. Here's a concrete picture. Imagine you run a sales team.

Every day your reps are doing the same tasks. You get a list of all the leads. They look up each company on LinkedIn. They pull up the company's recent news.

They draft a personalized email. They schedule a follow-up in the CRM. They log the activity. How long does that take a human?

A couple hours every single day, right? An open-core agent running on Nemeclaw does all of that. Not in two hours, in minutes. Every lead, every morning, whilst your rep is just drinking their coffee.

And that's not replacing the rep. That's just making the rep dramatically more productive. Or imagine you run a small legal firm. Every week there are contracts to review.

Clause by clause. That doesn't match your standard templates. Logging changes. And that work takes a paralegal like two days.

An agent can do it overnight. Or imagine you are a content creator, right? Every Monday you need to scan like 10 different news sources, pull out the relevant stories for your audience, draft the newsletter, check the links, format everything. And that's like three hours of admin, right?

An agent handles it whilst you sleep. And this is not the future. This is what people are already doing with open-core right now. The only thing that's been missing, the only reason companies haven't adopted this at scale, is the security problem.

Nemeclaw just solved this security problem. Now, I want you to stop here for a second because I know what some of you are thinking. You're thinking, okay, that's great, but I'm not a developer. I've never deployed a piece of software in my life.

I don't know what a runtime environment is. I do not know what GPU memory means. This sounds like something for tech companies, not for me. And I hear that, but I want to gently push back on it.

Huang said at the keynote, It is now as simple as it finds open-core, it downloads it, it builds you an AI agent. One command, non-technical setup, run on your existing computer. Remember when setting up email was a technical skill? Remember when building a website required knowing how to code?

Remember when running a spreadsheet required an accountant? These things did not stay hard forever. They got easier as the tools got better. And this is exactly what's happening with AI agents right now in real time.

The technical barrier is collapsing so fast that by the time most businesses wake up to this, the early movers will already have months of vantage. GTC 2026, attendees can build their own AI agent using NemoCore at the GTC park, build a core event running from today till the 19th. The ability to deploy a production-ready AI agent in under an hour directly from a conference session is a kind of developer experience that builds lasting platform loyalty. One hour to build a production-ready AI agent at a conference booth.

This is not a PhD level skill anymore. Now here's a part of the story that I think gets missed in all the technical coverage. Look at the arc of OpenCore in the last few months, right? One developer, one hour, 200,000 GitHub stars, way more at this point actually.

1.5 million agents created. Sam Altman calling him a genius. Peter Steinberger joins OpenAI. Meta buys Maltburg.

NVIDIA announces OpenCore and NemoCore at GTC in front of 30,000 people. That is 60 days, right? 60 days from a guy built something in an hour to the CEO of NVIDIA says every company in the world needs a strategy around this. I keep saying this on the podcast because I want to say it again, purely because I think it doesn't fully land until you see an example of this concrete, right?

The pace is not trendline. The pace of this is not gradual adoption. This is phase change. This is the kind of speed where if you're waiting to see how it plays out, you're already behind.

I mean, think about other moments like this in tech history. Linux was a hobby project by one developer, Linus Torvalds, in 1991. And companies actually laughed at it, right? By 2010, it ran most of the internet.

Janssen Huang himself compared OpenCore's arrival to Linux reshaping the software stack. He's not wrong about the parallel. An open source project created by one developer in their spare time that becomes a foundation of how enterprises run their most critical systems, that's a Linux story, and that might be the OpenCore story, except Linux took 20 years to reach that point. OpenCore reached a major enterprise conference keynote stage in just four months.

That should tell you something. Now, let me talk about the bigger picture of what NemoCore means for business strategy, because this is not just a software release. This is the opening of a new era of how companies work. For the last 20 years, enterprise software has been dominated by one model, SaaS.

Software as a service. You pay Salesforce to store your customer data. You pay Slack to run your messaging. You pay HubSpot to manage your marketing.

You pay Workday to run your HR, right? You are renting access to software that lives in someone else's data center. Huang says NemoCore could turn SaaS into gas. Guidance as a service, with AI acting as a service layer.

Think about what that means. Right now, Salesforce charges you to store and organize your customer data, but what you actually need is not stored organized data. What you need is to close deals. You need someone to follow up with the right leads at the right time with the right message.

An AI agent running on NemoCore can do that follow-up. It can pull from your customer data, draft the message, send it, log the response, and update the record. The underlying database still exists, but the human actions on top of it, the things that are actually paying the sales ops team to do, those start to get automated. And this is why the smartest investors are watching this space so closely.

Not because AI agents are like cool technology, which absolutely they are, but the difference here is the AI agents can eat directly into the labor costs that every business in the world right now is carrying. The companies that figure this out first, that identify which workflows in their business can be handled by an AI agent and set those up now are going to have a structural cost advantage over every competitor who waits. And that's not a prediction, that's already happening. And here's the thing I want you to sit with for a second, because I think there's a version of this conversation that feels very distant and abstract, like, okay, big companies are going to have AI agents.

That's great for Nvidia's stock price, but what does it actually have to do with you or me? Here's what it has to do with you. The shift that's happening with AI agents is not happening at the Fortune 500 level first, and then slowly trickling down to small businesses in 10 years. It's happening right now at every single layer, simultaneously, because OpenCore is free, NemoCore is open source, the tools are not locked behind enterprise contracts and six-figure license fees.

They are available to anyone with a computer and an internet connection. The person running a five-person marketing agency has access to the same agent infrastructure as a thousand-person tech company. The freelance consultant sitting in their home office can deploy the same tools as a major consulting firm. And that has never been true before.

And it means the competitive advantage is not about who can afford the tools, the competitive advantage is about who understands how to use them, who builds the right skills, who figures out first which tasks in their business can be automated, and actually set that automation up. That is a knowledge advantage, not a capital one. This is why I started the AI Profitable Boarding Community, because the question isn't whether AI agents are gonna change the way businesses operate. That ship sailed long times ago, right?

The question is whether you're going to be one of the people who understands the shift well enough to benefit from it, or one of the people who wakes up in two years and realizes the ground shifted underneath them whilst they were waiting to see what happened. In the AI Profitable Boarding, we go deeply on exactly this, real tools, real workflows, real examples of these AI agent systems that are being used right in business right now. We actually got a six-hour course on OpenCLR and another full tutorial I just released on NemoCLR today to cut costs and increase output. Not theory, practical stuff you can act on this week.

If you want to be in that room, the link's in the comments description, or you can go to the AIProfitBoarding.com. Now, let me bring this back to today and tell you what the NVIDIA announcement means for your immediate future. NVIDIA has reportedly held conversations with Salesforce, Cisco, Google, Adobe, and CrowdStrike about early partnerships for NemoCLR. Read that list again, Salesforce, Cisco, Google, Adobe, CrowdStrike.

These are not small experiments. These are the companies that run the software stacks of most major businesses on earth. If they integrate NemoCLR and the conversation is clearly already happening, then the path for AI agents to get inside corporate infrastructure just became an expressway. NVIDIA's NemoCLR stack gives enterprises the governance, control, and privacy required to tackle complex business tasks entirely on-premises.

That is the key phrase for corporate IT teams. It means your data doesn't leave your building. Your agent isn't sending confidential customer information to some third-party cloud surfer. It's running on your hardware, under your control, inside your walls.

And that's what's been missing from this whole AI agent conversation. Not capability, not intelligence. The enterprise was always watching, always interested, but never able to move because the security piece was not there. And now it is, which means the pace of enterprise adoption is about to accelerate dramatically.

The question is not, will companies use AI agents? The question is shifted to which companies will have this deployed before their competitors. Here's what I think the next 12 months look like based on what we know today, right? The early movers, the tech forward companies, the startups, the founders who are watching this space closely.

They are deploying NemoCLR-based agent systems right now, this month. They're figuring out which workflows make sense. They're building internal knowledge. They are creating competitive advantages whilst their competitors are still in wait-and-see mode.

The second wave, the mid-sized companies, the professional service firms, the companies that are not tech first, but are not tech last either, they start moving in Q3 and Q4 of this year. The NVIDIA partnerships with Salesforce and Adobe push it into the tools those companies already use every day. So the barrier to adoption drops below the decision-making threshold. And the third wave, the late adopters, the companies that are genuinely resisting change until the competitive pressure is undeniable, they get there in 2027 and 2028.

But by that point, the advantage is gone. They're just catching up. They're not getting ahead. Which wave do you want to be on?

Because it's not theoretical. That is the strategic question sitting in front of every business leader right now. And because this is not a platform that requires a complete business transformation to use, you don't have to rebuild your company around AI agents all at once. You could start with one workflow, one repetitive task, one thing that someone on your team spends two hours a day doing that they hate, and that agent could handle, right?

NemoCore simplifies running OpenCore assistants with a single command. One command, one task automated, one hour saved per day per session. And that compounds, right? I want to address one more thing directly because I know there's a version of the person listening to this who is skeptical.

They've probably heard the AI hype cycle before, and who remembers when blockchain was going to change everything? When the metaverse was the future? When NFTs were an asset class? And I get it.

I genuinely get the fatigue, but here's the difference. Those technologies required people to change their behavior dramatically to use them. You had to learn what a wallet was. You had to put on a headset.

You had to understand what a smart contract was. AI agents require you to do exactly what you already do. Talk to someone, send a message, describe what you need. Peter Steinberger's stated mission is to build an agent that even his mom can use.

That's a bar. Not technical enough for developers, his mom, right? And that's where this is going. Nemeclaw is a major step on that road because it solves the enterprise security problem that has been one legitimate blocker between interest in tech project and actual business deployment at scale.

These security skeptics were right. Meta was right to block open claw on work devices. The Chinese government was right to re-flag the risks. This was a legitimate concern.

NVIDIA just addressed that concern directly and fixed it. So now you have a tool that's capable, affordable, getting easier to use every month, and that now has a security architecture that enterprise requires. That last excuse for not installing or not using AI agents literally just ran out. Now, let me give you something actionable before I close because I never want to end one of these with just, that is interesting.

I want you to walk away with something you can actually do. So if you're a business owner or founder, your job this week is to make a list. Write down the five things in your business that are done the same way every day. Repetitive, rule-based, time-consuming.

That list is your AI agent roadmap. Those are your starting points. If you're a corporate manager, maybe a team lead, your job this week is to have one conversation with your IT or operations team about what it would take to pilot an AI agent system. Not deploy, not buy, just pilot, right?

One workflow, one test. That conversation starts the clock. If you're a developer or someone technical, the play is obvious. Get Nemacore running this week.

Build a core, understand the architecture. The people who know how to build and configure these systems are going to be in extraordinary demand over the next 18 months. Get the reps in now. If you're someone who is not technical, who's not corporate, who's just trying to figure this out or how to use AI to do better work, save time, build a better life and grow your business and get more customers and generate leads, the AR Profit Boardroom is a place I've built specifically for you.

Real breakdowns, real workflows, real people who are fighting this out together every single week. Link in the comments description or just go to thearprofitboardroom.com. Here's what I want to leave you with. Peter Steinberger had no idea when he sat down on a random afternoon in November, 2025 and started building something that four months later, Jensen Huang would be on a stage in San Jose calling it the operating system for the AI era.

He was just building something useful, something that solved a problem he had, something that made his life a little easier. That's why tools are the best. Things that make your life and work a little easier, a little faster, a little more humane because you're spending less time on tasks that grind you down, more time on the work that actually matters. Nemeclaw is not magic, it's not a silver bullet.

It will not automatically transform your business the moment you install it, but it is a door and that door is now open in a way that it wasn't six months ago. The security barriers are down, the tools are free, the knowledge is available and the only question is whether you walk through that door or not. I hope you do.