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NEW LONG FORM VIDEO: Why nobody uses Craigslist anymore Craigslist once generated more than $1 billion a year in revenue with just 28 employees. To put that in perspective, that’s more revenue per employee than even Google at its peak. Its founder turned down billions of dollars in venture... capital, refused to run advertising, and chose to serve as head of customer service rather than CEO. For years, that philosophy seemed brilliant. But just six years later, Craigslist had lost more than 70% of its revenue. This is the story of how one man’s unconventional principles and vision built an internet empire and how those same principles may have ultimately contributed to its decline. This is the rise and fall of Craigslist.show more

Michael Girdley

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98,039 views • 1 month ago •via X (Twitter)

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Morgan Stanley just raised their 2027 AI capex forecast to $1.1 trillion and that number still doesn't include SpaceX or a lot of the other AI companies (Save this). When you factor those in, the real 2027 figure is probably closer to $1.5 trillion and AI lab inference revenue combined is tracking toward $300 billion in 2027. On its surface that ratio sounds alarming, spending $1.5 trillion in capex to generate $300 billion in revenue. But the framing collapses the moment you examine two things the bears consistently ignore, gross margins and the revenue trajectory. Gross margins on inference revenue are running at 60 to 70 percent. That means the $300 billion in inference revenue generates $180 to $210 billion in gross profit and that number compounds rapidly as utilization scales on infrastructure that is already built and paid for. The Capex is not being deployed against today's revenue but rather being deployed against a revenue trajectory that has shown no signs of decelerating. To understand how aggressive that trajectory actually is, consider that Morgan Stanley's $1.1 trillion hyperscaler forecast is nearly double what analysts projected for the same year just twelve months ago And they described the demand as inelastic, meaning it is not slowing down regardless of rising costs, tighter financing conditions or geopolitical risk. The AI industry ended 2025 tracking well over $200 billion in combined inference revenue and the growth rate since then has continued to accelerate rather than flatten. Anthropic alone scaled from negligible revenue to a $30 billion annualized run rate in approximately 18 months while OpenAI is tracking toward $280 billion in annual revenue by 2030 from $13 billion in 2025. There is also a structural reality in the capex number that the bears never account for. Roughly 35 percent of total AI spending goes toward training, building the next model generation which is not revenue-generating in the current period. That means only about 65 percent of the $1.5 trillion in capex is actually deployed against the inference infrastructure that earns revenue today. When you apply the 60 to 70 percent gross margin to the revenue that sits on top of that 65 percent figure, the economics look substantially better than the headline capex to revenue ratio implies. Every CEO who has been closest to this buildout has consistently underestimated it and Jensen Huang projected $1 trillion in AI capex two years ago and was called delusional. Dario Amodei said in early 2026 that AI revenues would reach the low hundreds of billions by 2028 and trillions before 2030 and given where Anthropic's own revenue trajectory is today, he is likely revising those numbers upward. The pattern here is consistent, every time someone models the revenue ceiling, the actual number breaks through it faster than expected. Come join Milk Road Pro for our full breakdown, the real unit economics of the AI inference buildout, how the capex to revenue ratio evolves over the next three years, and our entire AI thesis! Link below!

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NEW LONG FORM VIDEO: How FTX went from $32 billion to bankruptcy in 4 days On November 7, 2022, FTX founder and CEO Sam Bankman-Fried posted on Twitter, telling everyone that everything was fine and there was nothing to worry about. Just four days later, the company collapsed. More than a million customers lost access to their money, and $32 billion in value disappeared almost overnight. How does someone who built his entire public image around doing good end up at the center of the biggest financial fraud in America since Enron? On this beautiful morning, we're diving into that story. This is the rise and fall of FTX.

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No lengthy dialogue is needed. Just the final few minutes of Legends of the Fall are enough to remind viewers why this film is still remembered more than 30 years later. The film turned Brad Pitt into a Hollywood icon and also won an Oscar for its breathtakingly beautiful nature scenes.

No lengthy dialogue is needed. Just the final few minutes of Legends of the Fall are enough to remind viewers why this film is still remembered more than 30 years later. The film turned Brad Pitt into a Hollywood icon and also won an Oscar for its breathtakingly beautiful nature scenes.

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74,315 views • 1 month ago