In today’s weekly rollup, we break down the wild week in AI markets: Nvidia’s insane earnings call, Google’s huge new Gemini releases, OpenAI’s revenue explosion, and the robotics boom that could become the next trillion-dollar demand wave.
Duncan
Patrick
Kyle Reidhead
VIDEOS
The AI arms race is accelerating. And the biggest tech companies in the world are spending billions to secure one thing: compute. In this episode, we break down why Google's massive capital raise could be one of the strongest signals yet that AI demand is blowing past available supply. Corporations aren't treating compute like software anymore. They're treating it like a strategic asset. Like oil. Like land. We get into how NVIDIA's ecosystem keeps expanding, and why the next generation of AI winners might be hiding in networking, semiconductors, power infrastructure, and optical systems.
In today's episode, we break down why the intersection of AI demand and web infrastructure is creating a massive value mismatch, and how decentralized computing protocols are solving real-world data bottlenecks.Yan Liberman, managing partner at Delphi Ventures, explains why the privacy-focused LLM platform Venice remains aggressively undervalued despite its recent 10x run, how the protocol is quietly locking down millions in subscription ARR from power users, and why its unique foundation structure ensures that long-term cash flows flow directly back to token value without relying on artificial buybacks.
The S&P 500 is smashing through insane new all-time highs, Micron officially rocketed into a trillion-dollar company, and the true constraints of the $8 trillion AI infrastructure race are physical bottlenecks hidden from the public eye. We explain why the hyper-cyclical "boom and bust" era for semiconductor stocks is being completely rewritten by massive multi-year contracts, and we map out the explosive rise of the "neocloud market" heading toward a projected $400 billion valuation.
AI agents are evolving from simple chatbots into autonomous economic actors. And that could completely change the global financial system. We sat down with Guillaume Poncin (CTO of Alchemy) on Milk Road AI to dig into why AI agents are going to need their own financial infrastructure. Here's the thing: traditional banking rails aren't built for machines. They're built for humans with IDs, signatures, and bank accounts that take 3 days to settle. Agents need something different. Faster. Programmable. Always on.
Capitalize on this bull market by tracking our PRO analysts' portfolios and live trades - just $1 for 7 days: https://milkroad.com/pro/?utm_medium=social&utm_source=youtube_organic_ai&utm_campaign=pod-may21NVIDIA just posted another monster earnings report. But this episode makes the case that the biggest AI opportunity might no longer be Nvidia itself. We dig deep into the $8 trillion AI CapEx thesis and why the next phase of the AI boom could happen completely outside of chips and software. The team breaks down why the real bottlenecks in AI are shifting toward power infrastructure, energy grids, cooling systems, optical networking, and data center deployment.
In today’s episode, we sat down with Stephen Mackintosh on Milk Road AI. His take: AI agents could be the biggest shift in finance since the internet itself. From autonomous trading agents to AI-powered investing, programmable money, crypto infrastructure, and the future of agentic commerce - this conversation goes deep on how AI is transforming markets, Wall Street, and the global economy way faster than most people realize. The internet rewired commerce. AI agents are about to rewire money itself.
In today’s episode, we break down why the AI boom might still be in its early innings. And why the next phase of the AI trade could be even bigger than everything we've already seen with Nvidia, OpenAI, and the hyperscalers. We get into the "infinite compute demand" thesis, the rolling bottlenecks showing up across the AI supply chain, and why energy infrastructure might be the next major AI investment theme. Plus: Trump's China trip with top tech CEOs, Nvidia's future in China, the growing AI chip war, and why markets might still be massively underestimating how long this cycle can run. Most people think we're in the late innings. We might still be in the second.
In this episode of Milk Road AI, Daniel Maguire from ARK Invest explains why the next massive trade in the AI infrastructure build-out is heading beyond Earth’s atmosphere. We explore the emerging concept of orbital data centers and how SpaceX's lead in full rocket reusability is making space-based compute a financial reality. Daniel breaks down the critical energy bottlenecks on Earth and why sun-synchronous orbits offer a nearly infinite, battery-free power source for future AI hyperscalers. We also dive into the convergence of space, defense, and nuclear energy, highlighting specific public and private companies like Rocket Lab and Oklo that are positioned to benefit from this $10 trillion global power shift.
In this episode, we break down one of the biggest investing theses coming out of the AI boom: why scarcity could become the most valuable asset on the planet as AI creates an era of digital abundance. Translation: when everything becomes infinite, the stuff that's still finite becomes priceless. We dig into the exploding AI CapEx race, why Wall Street is dumping trillions into AI infrastructure, and why investors are bailing on traditional SaaS and rotating into AI infrastructure plays. Names like Nvidia, Micron, Nebius, Palantir, Bloom Energy, and the data center supply chain. The shovels and pickaxes of the AI gold rush. And the smart money is already loading up.
In this episode, we break down what OpenAI's weaker-than-expected numbers actually mean. Spoiler: it's not what most people think. Compute - not demand - is still the biggest bottleneck in AI. There's plenty of demand. There just aren't enough chips to go around. We also get into whether hyperscalers like Microsoft, Google, Oracle, and Amazon can keep the AI trade alive through their massive CapEx spending. Because right now, those four are basically holding up the entire trade on their backs.
Dr. Alex Wissner-Gross is back on Milk Road AI with one of the boldest AI predictions we've heard yet. By 2035, AI could help solve many of the biggest challenges facing humanity. And no, we're not talking about better chatbots or faster coding. We're talking about AI systems that could "bulk solve" entire fields like mathematics, physics, chemistry, biology, medicine, law, robotics, energy, and even human longevity. Casual. He breaks down the thesis behind Solve Everything, his new book with Peter Diamandis, and explains why we're entering a decade where scientific discovery becomes industrialized. If he's right, the next 10 years of AI progress could compress centuries of human advancement into a single decade. That's not a productivity boost. That's a different timeline.
In today’s episode, we break down one of the biggest shifts happening in business right now: AI tokens are becoming the new labor force. Jensen Huang (NVIDIA CEO) says the future of every company comes down to one thing. How effectively it can consume tokens. That means the winners of the AI race might not be the companies building flashy apps. It's the ones controlling GPUs, data centers, compute, and infrastructure. The plumbing, basically. We dig into Amazon's massive $25B bet on Anthropic, why OpenAI is smarter than people give them credit for, and why the real AI investment plays could be names like Oracle, AMD, cybersecurity, and neo-clouds. SaaS? Might be in trouble.
In today’s episode, David Haber from a16z just dropped some uncomfortable truths on the show. AI could destroy more jobs than the internet ever created. Traditional SaaS companies are entering a really dangerous phase. And the next wave of billion-dollar businesses? They might be built by solo founders with a handful of AI agents. No big team. No massive headcount. Just one person and a swarm of bots. The game is changing. Fast.
In this episode of Milk Road AI, analysts Vincent and Melvin break down their latest 50% gainers, specifically highlighting how Bloom Energy (BE) is solving data center power bottlenecks with 90-day off-grid deployments. The team debates the "hot money" into the AI hardware stack, including deep dives into Nebulous and Credo’s role in the massive infrastructure build-out. We also explore Meta’s staggering ad revenue growth, and whether the rise of AI agents will eventually disrupt social media and e-commerce moats.