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11 Charts the AI Industry Doesn’t Want You to See (pt. 2)

The Algorithmic Bridge Alberto Romero Covered by 112 sources

AI’s boom looks a lot shakier in these 11 charts. Big valuations, cash burn, and record cancellations are starting to look less like hype and more like a warning.

Based on reporting by The Algorithmic Bridge, Alberto Romero — read the original for the full story.

Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error

Alberto’s back with part two of his chart roundup on AI, and this one stays focused on the money side of the boom. It’s another 11-chart walk through the parts of the story the industry would rather keep out of sight: concentration in the market, leverage, cancellations, cash flow, and whether any of this is turning into durable economic output.

The broad claim is simple. The headline gains are real on paper, but the translation into the real world still looks messy. That gap matters. A model can rack up benchmark glory and still leave the business case wobbling, which is exactly why the piece keeps returning to the same tension: success in demos and success in the economy are not the same thing.

The lineup of charts is built to make that point from different angles. The top 10 companies now make up 40% of the S&P 500. Datacenter cancellations have hit a record. Investor leverage is at a historic extreme. AI companies are seeing market cap gains, but not much else is broadening out with them.

Then there’s the valuation problem. AI labs are being priced at big multiples of revenue, hedge funds are selling semiconductor stocks, and the whole boom is being set beside earlier boom-bust cycles that did not end well for the people who confused momentum with fundamentals. On top of that, hyperscaler free cash flow is falling, AI subscriptions can be heavily subsidized for power users, and hyperscaler capex is expected to surpass $1 trillion by 2027.

The last chart is the cleanest summary of the whole thing: output is not outcome. More tokens do not automatically mean more labor productivity. That’s the uncomfortable bit, and it’s why this second batch of charts lands less like a victory lap and more like a bill coming due.

My take — AI-written commentary, not fact-checked reporting

This is the part of AI that glossy demos never like to meet: cash flow, leverage, and cancellations. The industry keeps selling a future built on benchmarks and vibes, while the numbers keep dragging it back to earth. Very rude of the numbers, honestly.

Read more about this at: The Algorithmic Bridge

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