Today in AI: Musk's AI Revenue Bombshell and Infrastructure Boom

Elon Musk's bold prediction for SpaceX's AI revenue takes center stage, alongside a surge in AI infrastructure stocks. We also dive into Microsoft's masterful AI portfolio strategy and a game-changing AI video tool for filmmakers.

In this episode

• CoreWeave and Super Micro surge on AI infrastructure earnings, SOXX +2.3%
• DarLink AI Review: Is It Worth It? Features, Pricing and Honest Verdict
• OpenAI Uses ChatGPT to Build Custom Forecasting Apps
• AI Stock Picks Today: NVDA, DDOG, CRWV - 8 Trade Ideas for August 13, 2026
• How Satya Nadella Built Microsoft's Four-Way AI Portfolio
• WordPress for Startups: The Stack Founders Actually Ship
• ChatGPT Work Streamlines Board Reporting
• Minimax Music 3: Open-Weight AI Music Model Imminent
• Claude's Corner: Martini - The Film Set AI Video Always Needed
• SpaceX (SPCX) Surges 9.6% on Musk AI Revenue Comments

Transcript

Ada: Welcome to Today in AI, I'm Ada.

Sam: And I'm Sam. Today, we're unpacking Elon Musk's latest AI revenue prediction for SpaceX and the ripple effect on AI infrastructure stocks.

Ada: Let's kick things off with a story that's making waves across the market. SpaceX, or SPCX, surged a remarkable nine point six percent yesterday. This jump comes after Elon Musk made a pretty audacious statement: he expects AI revenue to outpace all other SpaceX business lines within just a few months. The stock closed at one hundred forty-six dollars and fifteen cents, extending a recovery that has seen shares climb over twenty-six percent from their early August low.

Sam: That's a huge claim, even for Musk. It really speaks to the sheer scale of the internal AI projects he must be referring to. We've seen hints of AI applications in Starlink for network optimization, and obviously in autonomous flight and rocket landing systems. But for it to become the dominant revenue driver so quickly suggests either a massive new AI service offering we haven't heard about, or an incredibly efficient monetization of their existing AI capabilities within their core aerospace and satellite businesses. Either way, investors are clearly buying into the vision.

Ada: Absolutely. It's a testament to the market's belief in Musk's ability to execute on these ambitious technological shifts. And it's not just SpaceX feeling the AI tailwinds. We saw a significant surge in AI infrastructure stocks yesterday.

Sam: That's right, Ada. CoreWeave and Super Micro each surged roughly nineteen percent yesterday after what can only be described as blowout earnings reports. These results really validated the surging demand we're seeing for AI infrastructure. Dell also climbed ten percent on positive read-through, showing the broad impact. The SOXX semiconductor ETF gained two point three percent, and the S&P five hundred added point three percent, partly on cooler July CPI data, but largely driven by this renewed confidence in the AI build-out.

Ada: This really underscores the fundamental investment thesis around AI right now. While a lot of the focus is on the models and applications, none of it happens without the underlying hardware and cloud infrastructure. Companies like CoreWeave and Super Micro are right at the heart of that foundational layer. Their earnings aren't just good for them, they're a bellwether for the entire AI ecosystem.

Sam: Exactly. It shows that the capital expenditure isn't slowing down, it's accelerating. And it's not just about buying chips, it's about the specialized infrastructure to run these massive models efficiently. These companies are providing the picks and shovels for the AI gold rush, and their latest results confirm the digging is getting more intense.

Ada: Speaking of strategic plays, let's turn our attention to how Satya Nadella has masterfully built Microsoft's four-way AI portfolio. It's a fascinating look at diversification.

Sam: It truly is, Ada. The story details how Nadella diversified Microsoft's AI bets across six years and four distinct deal structures. We're talking about a twenty-seven percent OpenAI stake, now worth an estimated two hundred twenty-eight billion dollars on paper. Then there's the five-billion-dollar Anthropic bet that reportedly returned three point two billion dollars in a single quarter. Add to that a multibillion-dollar Mistral infrastructure deal, and their robust in-house MAI model family. It's an incredibly comprehensive and shrewd strategy.

Ada: What makes this so significant is that Microsoft isn't just picking one horse in the race. They're investing in multiple leading model developers, ensuring they have a stake no matter which foundational model gains dominance. Plus, they're building their own capabilities. It's a hedging strategy, but also an offensive one, positioning them to integrate the best of all worlds into their products and services.

Sam: It's a masterclass in corporate strategy in a rapidly evolving field. They're leveraging their cloud infrastructure to attract partners, and then they're taking equity stakes, offering infrastructure deals, and building their own competitive models. This multi-pronged approach minimizes risk while maximizing potential upside, a stark contrast to some companies that have put all their eggs in one AI basket.

Ada: From strategic investments, let's shift to a specific application that's turning heads in the creative world. In Claude's Corner today, we're looking at Martini- a platform that's being called the film set AI video always needed.

Sam: Martini sounds like a real game-changer for professional filmmakers. It gives them what's described as a real film set for AI video, offering camera controls, multi-model orchestration, and team collaboration. Crucially, it moves beyond what they call 'prompt roulette.' The platform integrates leading models like Sora, Kling, and Veo into a workflow built by a Cannes-screened cinematographer. The article points out that its moat is taste, which is a fascinating angle.

Ada: That 'taste' factor is what truly differentiates it. Many AI video tools focus on raw generation, but Martini seems to understand the nuances of professional filmmaking. Providing camera controls and multi-model orchestration means filmmakers aren't just generating clips, they're directing scenes. This platform could be the bridge that makes AI video a truly viable and respected tool in high-end production, moving it from novelty to necessity.

Sam: Absolutely. It's about empowering artists, not replacing them. By providing familiar tools and a collaborative environment, Martini is addressing the workflow challenges that have kept many professionals from fully embracing AI video. It's an example of AI being built to augment creative processes rather than just automate them.

Ada: Finally, let's touch on how OpenAI is leveraging its own tech internally. They're using ChatGPT to build custom forecasting apps.

Sam: This is a great example of 'eating your own dog food.' OpenAI is using ChatGPT, combined with a no-code website builder, to create custom, interactive financial forecasting tools for its own finance team. It's a practical application that demonstrates the power of these models beyond consumer-facing chatbots.

Ada: It highlights the flexibility and accessibility of large language models. The fact that their finance team can build these tools with ChatGPT and a no-code builder means they don't need dedicated developers for every custom application. It democratizes tool creation within an organization, allowing teams to quickly address their specific needs.

Sam: It really does. And it's a strong signal to other companies about the potential for internal innovation using readily available AI tools. This isn't just about coding, it's about using natural language to build functional applications, which is a huge leap in productivity.

Ada: That's all the time we have for today's top AI stories. For more details on these and other breaking news, head over to startuphub.ai.

Sam: Thanks for tuning in to Today in AI. We'll be back tomorrow with more.