AI Reviews 200 Episodes of Podcasts: Captured a 180% Gain in Micron, but Missed Cursor's $6 Billion Acquisition

Organized & Compiled: TechFlow

Guests: EJ and Josh, Hosts of the Limitless Podcast

Podcast Source: Limitless Podcast

Original Title: AI Found the Trades We Missed

Air Date: July 8, 2026

Key Takeaways

The Limitless Podcast reached its 200th episode. The two hosts did something slightly dangerous: they fed the transcripts of all 200 episodes to Claude and ChatGPT, asking the AI to help them uncover hidden investment themes they might have missed, review the predictions they made over the past year, and forecast AI's next frontier. When they hit record on episode one 14 months ago, SpaceX was still a private company valued at $350 billion, Anthropic was valued at $61 billion, OpenAI at $300 billion, and GPT-4o was the flagship model. Now, SpaceX has a market cap exceeding $2 trillion post-IPO, Anthropic is nearing a trillion, and ChatGPT's user base has more than doubled.

The show unfolds along two tracks. One is retrospective: their earliest call that "compute is national security" saw SanDisk surge 35x; betting on memory chips, Micron gained 180%, SK hynix became South Korea's largest company by market cap, and Samsung's profits surpassed Nvidia's. They even mentioned wanting to buy Cursor's stock on the show three months ago, only for Cursor to be acquired by SpaceX for $60 billion. If they had created a portfolio of companies founded by their guests, the return would be about 4x in one year, with Valor Atomics being the best at 13x. The other track is forward-looking: mentions of big terms like superintelligence and AGI on the show have plummeted by 90%, while mentions of Anthropic have quadrupled, surpassing OpenAI. The three areas they are most bullish on next are space-based training models, AI application in vertical domains, and small edge models.

Key Takeaways & Insights

On Compute & Memory Validation

• "We said early on that compute is a national security issue. Whoever owns the watts, chips, energy, and cooling owns the rest of the economy. Looking back after 200 episodes, this is even more true now than it was then."
• "The average return for memory manufacturers was 153%. If you bought Micron at the end of last year, you're up 180%. SK hynix became the largest company in South Korea by market cap, pushing Samsung down. Samsung just became the world's most profitable company, surpassing Nvidia."
• "Three months ago, we said we wished we could buy OpenAI stock, but there was one company that could ride that wave: Cursor. Three months later, Cursor was acquired by SpaceX for $60 billion."

On the Limitless Portfolio

• "If we created a portfolio of companies whose founders we interviewed on the show, investing from the day of the interview until today, the total return would be about 4x, with the best, Valor Atomics, returning 13x."
• "Valor Atomics CEO Isaiah Taylor had just finished his seed round when he came on the show. Now the company is valued at $2 billion. His logic was simple: data centers need power, so he builds small modular nuclear reactors."
• "Boom Supersonic, originally building supersonic aircraft, has now started making gas turbines for AI data centers."

On Trend Shifts

• "The term 'superintelligence' was mentioned 60 times last year, only 6 times this year. AGI mentions are down 54%, robots down 60%. Crypto has essentially gone to zero."
• "Anthropic's mentions were only a quarter of OpenAI's last year. This year, they've quadrupled and have overtaken them: 806 vs. 758. A year ago, we were saying Claude 3.7 wasn't great and ChatGPT was king. This company has completely turned things around this year."
• "The AI company we mentioned the most isn't OpenAI, isn't Anthropic; it's Google. But Google's momentum has clearly slowed down."

On the Next Bets

• "Fable 5 costs $10 per million input tokens and $50 per million output tokens. If you're burning through millions of tokens a week, that cost is painful. Uber and Meta are already cutting their AI token spending."
• "Most companies and ordinary people haven't really started using these AI tools yet. The models are incredibly powerful, but the diffusion is still very low. The core question for the next 200 episodes is: how does the world extract value from these tools."
• "Whoever solves the energy problem becomes one of the most powerful companies on Earth. Whether AI advances or not, energy is the ceiling for everything."

Episode 200: Feeding All Transcripts to AI

EJ: Welcome to the 200th episode. We've spoken 1.4 million words on this show, 99.9% of which were Josh and I arguing about who has more compute, whose model is better, and which AI company is the best investment. Before recording this episode, we did something slightly dangerous: we gave the transcripts of all 200 episodes to Claude and ChatGPT, asking it to help us find hidden investment themes we might have missed, review what we said and predicted over the past year, and figure out AI's next frontier.

Thinking back to when we recorded the first episode 14 months ago, the world was completely different. SpaceX was still a private company valued at $350 billion. Now it's public with a market cap over $2 trillion. Anthropic was valued at $61 billion then, now it's nearing a trillion. OpenAI was valued at $300 billion, ChatGPT had about 500 million users, now it's more than doubled. It's even more interesting on the model side: GPT-4o was the flagship, Claude was at 3.7, Gemini at 2.5. The craziest part? When we recorded that first episode, almost all code in the world was still written by hand. Now it's the opposite.

So what we're going to do today is look back at what actually happened over the past year, and then look forward based on those trends. Let's start with the predictions we got right.

Compute is King: An Early Bet Validated

EJ: Josh, do you remember episode 4? June 5, 2025. Our exact words were: Compute is now a national security issue. Whoever owns the watts, chips, energy, and cooling owns the rest of the economy. Our point was straightforward—compute is king, whoever has the GPUs and can power them can build the best models.

Looking back after 200 episodes, this is even more true now. Anthropic signed four new compute contracts in the past few months. OpenAI is aggressively expanding capacity. Their aggressive bets on securing compute have proven absolutely correct. They haven't imposed any restrictions on any users, and this has perfectly supported the core demand for inference, allowing AI agents to run 24/7. Compute is king; it was one of our earliest predictions.

Josh: I just checked. When we said that, SanDisk was up 3500%. A 35x return. If you told someone in June 2025 that the federal government would invest in a company like Intel and these stocks would surge this much, we probably would have invested too, but we'd also be surprised that this compute arms race had become so critical. The most scarce resources in the world right now are the energy and memory to power GPUs. It's really remarkable to have noticed this so early. I really wish we had actually invested.

Memory Chips: A 153% Average Return

EJ: Another asymmetric bet was AI chips, especially memory. When we did the predictions episode at the end of last year, our core thesis was: Memory is expensive, it's a major component of the entire AI system. For a GPU to run, it needs to remember the entire conversation context with ChatGPT and Claude. Memory prices will likely rise, and memory chip stock prices will follow.

Guess the average return for the top three memory manufacturers?

Josh: Infinite. It was probably the best single investment you could have made in the past year.

EJ: Not quite that much, but close. 153%. If you bought Micron at the end of last year, you're up 180%. If you could buy SK hynix, it became the largest company in South Korea by market cap, pushing out Samsung, which had dominated for decades. Samsung just became the world's most profitable company, surpassing Nvidia.

This is a full-scale arms race, and these companies are constantly leapfrogging each other.

Cursor: Acquired by SpaceX for $60 Billion

EJ: In March 2026, not too long ago, we called this an asymmetric bet: I really wish I could buy OpenAI stock, but there’s one company that can ride this wave, called Cursor.

Three months later, Cursor was acquired by SpaceX for $60 billion.

Josh, should we start managing a fund?

Josh: We need a fund. Anyone want to invest?

EJ: If we had actually turned these predictions into investments, the returns would be substantial.

The Limitless Portfolio: A 4x Return in One Year

EJ: Early on in the show, we interviewed many founders working on cutting-edge technology. We carefully selected these companies, thinking they had huge potential. We got exclusive interviews with CEOs and founders. If we had invested our money on the day of the interview, the total return to today would be about 4x in a little over a year.

The best was Valor Atomics, up 13x. In episode 10, we hosted CEO Isaiah Taylor, who builds small modular nuclear reactors. The logic was simple: data centers need power, and he solves that problem. He had just finished his seed round when he came on the show; now the company is valued at $2 billion.

Same with OpenRouter. Founder Alex Atallah was worth $500 million when he came on the show, now it's $1.3 billion. OpenRouter's thesis is one we've repeated often: companies won't use just one model; they'll use different models for different scenarios. This is also why Cursor was seen as a good bet, and why SpaceX spent $60 billion to buy it. OpenRouter gets early access to models before they're officially released—Claude, ChatGPT, Chinese models. Developers can use various models without restrictions. The aggregate user intent data they possess is incredibly rich, allowing them to determine what models to build next.

Zipline is also interesting, doing drone delivery. They were showing early prototypes when they came on the show, and now they're operational in several major cities. Perplexity went from $18 billion to $21 billion, mainly because Samsung made it the default AI agent on all its phones.

Boom Supersonic is a unique case. Originally making supersonic aircraft, they've now started building gas turbines for AI data centers.

Josh: A 400% return is already crazy compared to the broader market. I wish we could have actually invested.

EJ: Me too. But this simulated portfolio shows us that several clear trends have formed over the past year: energy is the bottleneck, nuclear is one solution; the model routing layer is a real need; and AI deployment on mobile devices has begun.

Trend Shifts: Superintelligence Fades, Anthropic Ascends

EJ: Our discussion topics have changed significantly over the past 14 months. After using AI to analyze the transcripts of 200 episodes, the trend shifts are very clear.

The term 'superintelligence' was mentioned 60 times last year, only 6 times this year—a 90% drop. Crypto has essentially hit zero; it's a bear market now. Robots are down 60%, AGI is down 54%. We've been mentioning these big terms less often, perhaps because they feel imminent, the lines are blurring. When you see these Mythos-level models, it feels like this might be AGI. Robots are interesting; we seem to be in a middle ground: many companies are building them but haven't officially released them yet. A new Optimus version is coming but hasn't been shown, Figure is also working on new robots but hasn't unveiled them. I suspect there will be a flurry of releases later this year, and the robot topic will explode again.

The most astonishing is Anthropic. Last year, we mentioned them about a quarter as often as OpenAI and ChatGPT. This year, mentions have quadrupled, and they've overtaken: 806 vs. 758. A year ago, we were looking at Claude 3.7 Opus, thinking it wasn't great, and ChatGPT was king. This company has completely turned things around this year. Claude Code is just over a year old; almost no one was using it at the end of last year, now everyone is.

Here's another interesting finding: The AI company we mentioned the most on the show isn't OpenAI, isn't Anthropic; it's Google. But Google's momentum has clearly slowed. In the first few months, their product iteration speed was incredibly fast, almost weekly new releases, and they were all decent. But they slowed down. The two real major players now are OpenAI and Anthropic, unlikely to change in the short term. Maybe Grok could be the comeback player of the year; SpaceX's AI team is pushing hard.

The Next 100 Episodes: Three Tracks Worth Watching

EJ: If I had to pick three most important trends for the future, the first is space-based training models. We first mentioned StarCloud, a Y Combinator startup that sent H100 GPUs into space to start training models. Now, SpaceX AI's entire strategy is to launch a massive number of satellites to train models in space, likely Grok and others. This trend will only strengthen, and SpaceX will be the leader.

The second is the application of AI models in vertical domains. General large language models are great for chatbots, but they struggle when applied to specialized niche areas requiring domain expertise. Anthropic and OpenAI have spent the last few months forming joint ventures, raising billions of dollars, and embedding engineers in these fields to find the best solutions. I think the focus will be on finance and bioscience. Anthropic has already launched Claude Science, OpenAI has released genomic benchmarks and acquired