Updated: Mar 18, 2026 – 27 episodes
At the GTC 2026 conference, Nvidia unveiled its new GB300 chip and DLSS 5 technology, projecting a trillion-dollar revenue forecast. This highlights Nvidia's continued innovation and dominance in the AI and graphics sectors, impacting the broader tech industry.
Nvidia's GB300 chip and DLSS 5 are stirring up the tech world, and The AI Daily Brief is all in on their trillion-dollar revenue projection. Start with their episode to hear why they think Nvidia is on par with giants like Walmart and Amazon. TBPN offers a bullish perspective on Nvidia's role in revolutionizing gaming with DLSS 5, making it a must-listen for gamers and tech enthusiasts alike. For a more skeptical view, Plain English with Derek Thompson questions Nvidia's dominance, suggesting new competitors might undercut them. It's a fascinating mix of optimism and caution across these podcasts.
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Ridealong has curated the best podcasts and clips about Nvidia announces GB300 chip, DLSS 5, and $1T revenue projection. Listen now.
Podcast Episodes Covering This Story
“Jensen has now signaled that Nvidia can see enough demand to drive $500 billion in annual sales. This would more than double revenue from the past year. In fact, the list of companies with a half a trillion in annual sales is just Walmart and Amazon, with Saudi Aramco falling slightly short. If Huang's forecast is correct, It will be completely unparalleled growth for a company of anywhere near NVIDIA's size.”
Ridealong summary
Nvidia's trillion-dollar revenue projection is a bold signal of unprecedented demand and growth potential, positioning the company alongside giants like Walmart and Amazon.
“Nvidia is becoming the Tesla for the general purpose company. It's like if you can't build it all yourself, Nvidia has done it and they will sell you all their hardware, they'll sell you all their software. They're moving a lot into open source and I guess that's probably the transition to the next announcement which is their Nemo Claw announcement, the open claw competitor which isn't an open claw competitor at all actually.”
Ridealong summary
Nvidia is positioning itself as the Tesla of general-purpose AI, providing both hardware and software solutions to support open-source AI development.
“Speaking of OpenClaw, next up, NVIDIA has announced NemoClaw as part of their announcements at GTC, which is a little bit funny. This is a stack for the OpenClaw agent platforms that allows you to install NVIDIA Nematron models. We just discussed this latest Nematron model last week. And there's a new NVIDIA OpenShell runtime. You install both of those in a single command and you get privacy and security controls baked in, making it possible to have more confidence in running one of these things.”
Ridealong summary
Nvidia's introduction of NemoClaw and OpenShell at GTC 2026 is a significant step forward in AI agent security and functionality, providing enhanced privacy and control.
“Writes more insights and strategy CEO and chief analyst Patrick Moorhead, NVIDIA is no longer a chip company. As GTC 2026 opens, the company plans to present itself as a full-stack, heterogeneous AI infrastructure platform, spanning training, pre-fill, decode, inference, and agent orchestration. Next up, while many software CEOs have been downplaying the AI disruption risks to their company this year, SEC filings are telling a different story.”
Ridealong summary
NVIDIA is transitioning from a chip company to a full-stack AI infrastructure platform, integrating Grok's inference chips and expanding its supply chain beyond Taiwan.
“Now, OpenClaw is not just a US phenomenon. In fact, the information recently reported on the many ways OpenClaw is changing what Chinese founders are building. They highlighted a recent OpenClaw hackathon in China, where one contestant made Tinder for AI agents, basically where OpenClaws can find love interests for their humans still. Another created an automated recruiting site where OpenClaws owned by job seekers and companies interview each other.”
Ridealong summary
Nvidia's investments in AI and robotics, particularly through OpenClaw, are driving a global shift towards personal AI agents, with significant uptake in China.
“NVIDIA announcing NVIDIA DLSS 5 and AI-powered breakthrough and visual fidelity for games coming this fall. Video games are gonna get more realistic. Prepare. Over the next couple of decades, this is gonna be, it's entirely possible this happens. [...] People are upset. There's a community note that has yet to be accepted, but the community notes are not happy. Like one of the community notes is just AI slop and it's like yeah, like that's in the name. It's deep learning.”
Ridealong summary
Nvidia's DLSS 5 technology represents a significant leap in gaming realism, but there is skepticism about its environmental impact and the delay in new graphics card shipments.
“So what happens is when you're using AI agents, usage increases. And of course, it's in Jensen's interest to say that everybody should use agents, that every company needs an open call strategy. because he is selling the thing that produces the tokens. And these things are hungry, hungry hippos, and they love eating tokens. So it's the same way that it's in the interest of an airline to tell you about beautiful destinations that they can fly you to.”
Ridealong summary
Nvidia's advancements in AI agents and OpenClaw are crucial for companies developing agent strategies, driving increased compute usage and benefiting Nvidia's business model.
“NVIDIA is an incredibly innovative company, and it comes from the top. Jensen is just an incredibly curious, innovative person. They have a very flat structure as a company, not a lot of middle management. Jensen and sort of like all the top leaders have a lot of direct reports. There's a lot of autonomy, but there's just this constant push to just like innovate as fast as you can and always be on the next thing and always be on the next thing and always be on the next thing.”
Ridealong summary
Nvidia's relentless innovation and strategic acquisitions, like Grok, position it to dominate AI inference and maintain leadership in AI and robotics.
“NVIDIA's CEO is saying that this new demand is being driven by a fundamental shift in how AI is actually being used. The industry has now moved away from training large language models, which was kind of the first phase of this, to inference at a massive scale. So think agentic AI applications that spawn other agents to accomplish tasks that are generating exponentially more tokens than a simple chatbot interaction.”
Ridealong summary
Nvidia's projected trillion-dollar revenue is driven by a fundamental shift in AI usage towards massive-scale inference, not just hype.
“Jensen was talking a big game at the GTC conference. He now expects NVIDIA to make over $1 trillion in revenue from the Blackwell and Vera Rubin chips alone through 2027. That's up from last year's forecast of $500 billion by the end of 2026. So the company is expecting the AI boom to continue for at least another year.”
Ridealong summary
Nvidia's strategic shift towards CPUs and AI agents positions it to dominate the future of computing, with a trillion-dollar revenue projection reflecting the anticipated demand for exponentially more computing power.
“Jensen did say the revenue opportunity for artificial intelligence chips just at NVIDIA might reach at least a trillion dollars through 2027. Pocket change. Pocket change. I mean, really, for NVIDIA at this point. One thing that was really interesting, he introduced a new product. I always like when there's an actual product tied to this rather than the promise of a product.”
Ridealong summary
Nvidia's trillion-dollar revenue projection is credible due to its strategic partnerships and the introduction of specialized AI chips, marking a significant evolution from general-purpose GPUs.
“NVIDIA CEO Jensen Wong threw out a lot of numbers, mostly of the technical variety during his keynote Monday to kick off the company's annual GTC conference in San Jose, California, but there was one financial figure that investors surely took notice of. His projection that there will be $1 trillion worth of orders for NVIDIA's Blackwell and Vera Rubin chips, a monetary reflection of a booming AI business.”
Ridealong summary
Nvidia's projection of $1 trillion in orders reflects a booming AI business and highlights the company's unmatched capability to meet soaring computing demands.
“The bigger thing here is that they actually had Peter Steinberger, the creator of OpenClaw, in the audience. And they have worked on a whole new integration of OpenClaw within the NVIDIA platform that they're calling NemoClaw... they are trying to make OpenClaw accessible for SaaS businesses, meaning that you could trust your enterprise data with an OpenClaw service.”
Ridealong summary
Nvidia's integration of OpenClaw with Nemotron, dubbed NemoClaw, is a game-changer for SaaS businesses, making enterprise data management more accessible and boosting open-source innovation.
“"NVIDIA. Announcing NVIDIA DLSS 5, an AI-powered breakthrough in visual fidelity for games coming this fall. Video games are going to get more realistic. Prepare. Over the next couple decades, this is going to be, it's entirely possible this happens."”
Ridealong summary
Nvidia's DLSS 5 technology is set to revolutionize visual fidelity in video games, making them more realistic than ever before.
“And with all these ingredients combined, we've seen what the future of personalized AI agents will look like a couple weeks ago when OpenClaw blew up. and when I first discovered OpenClaw I had like we're talking about this before the recording as you said almost like two or three sleepless nights just trying to process what this means because when you try technology for the first time and then you get this intuition that oh my god like this is so powerful this everyone will have this in one year this will be everywhere in one year because it's too powerful it's like this chat GPT moment again.”
Ridealong summary
OpenClaw represents a transformative leap in AI technology, akin to the impact of ChatGPT, and is expected to become ubiquitous within a year due to its immense power and potential.
“And then the rest of it, to me, is it possible for NVIDIA to be a $3 trillion revenues company in the near future? The answer is, of course, yes. And the reason for that is because it's not limited by any physical limits. There's nothing that I see that says, gosh, $3 trillion is not possible. And as it turns out, NVIDIA's supply chain is the burden shared by 200 companies.”
Ridealong summary
Nvidia's potential to reach $3 trillion in revenue is limitless due to its expansive ecosystem and the exponential growth of AI applications.
“Jensen Huang dismissed social media criticism of DLSS 5 at GTC 2026, asserting that claims that the generative AI tech homogenizes games are, according to him, completely wrong... DLSS 5 fuses controllability of the geometry and textures and everything about the game with generative AI... It's not post-processing, it's not post-processing at the frame level, it's generative control at the geometry level, he said.”
Ridealong summary
Nvidia's DLSS 5 technology is misunderstood by critics, as it offers developers artistic control rather than homogenizing game visuals.
“Azeem Azhar...reported that his OpenClaw agent has changed how he works more than anything since the browser. For him, the two reasons are one, it takes initiative...Two, he writes, I can trust it with real work on its own. Allie K. Miller...said that not a single person thinks that their setup is 100% secure, with one expert even saying, if you're not okay with all your data being leaked onto the internet, you shouldn't use it.”
Ridealong summary
OpenClaw's rapid adoption highlights both its transformative potential and significant security and reliability concerns.
“We're sort of talking about like how to use Dynamo to get better performance and also like where we see Dynamo going in the future. And then there's another session that I'm doing with one of our agents teams at NVIDIA to talk about sort of the future of agents in production inference. So we're talking about there's like this new horizon with respect to agents because we have these harnesses that actually impart structure upon calls.”
Ridealong summary
Nvidia's advancements in AI agents and structured inference are set to revolutionize production environments, enhancing performance and optimization.
“By incorporating Grok technology into their data center systems, NVIDIA is extending its lead from those companies. They're talking about the fact that they can generate more tokens faster and cheaper than any of those alternatives. And it was very important for them to bring the Grok technology in in order to accomplish that. So it's NVIDIA extending its lead over the competition and making the argument that the total cost of ownership, even for inference, is lower with NVIDIA systems.”
Ridealong summary
Nvidia's integration of Grok technology solidifies its leadership in AI, making its systems more cost-effective and extending its competitive edge.
