The Charts the AI Industry Doesn’t Want You to See
The Algorithmic Bridge Alberto Romero ● Covered by 2 sources
A writer stacked 11 charts on AI's economics, reliability, and jobs into one grim picture. Together they suggest the boom is running on hype and circular money, not results.
Based on reporting by The Algorithmic Bridge, Alberto Romero — read the original for the full story.
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There's a difference between reading one skeptical AI headline and reading eleven of them back to back. The Algorithmic Bridge did the latter, pulling together charts from separate reports and studies that, individually, each got a news cycle's worth of attention and then faded. Stacked together, they tell a much less flattering story than any single earnings call or keynote.
Start with the economy itself. Since 2021, ten companies — most tied to AI — have accounted for nearly all the earnings growth in the S&P 500, while the other 490 have been shrinking in real terms once you adjust for inflation. That's not a diversified boom. That's ten firms propping up an index and, by extension, a lot of retirement accounts. Meanwhile the actual gap between what AI could theoretically do and what it's doing in practice remains wide, and 82% of AI-generated tokens go toward fixing bugs the AI itself introduced rather than producing anything a customer sees. Reliability across 14 frontier models has barely budged even as accuracy scores keep climbing in the marketing decks.
Then there's the money itself, which increasingly moves in circles: chipmakers invest in AI companies who buy chips from those same chipmakers, and if the promised returns don't materialize, the losses hit twice — once when AI firms stop buying hardware, again when the equity stakes evaporate. The Financial Times has already floated the possibility that hyperscalers, if they keep spending at this pace without matching revenue, could produce one of the largest destructions of shareholder value on record. That's not a fringe blogger's opinion; that's the FT.
The human side is just as unflattering. Most paying users never touch AI's more advanced
My take — AI-written commentary, not fact-checked reporting
None of this means AI is fake or useless — it means the industry's PR has been writing checks its product can't quite cash, and I'd rather see honest reliability numbers than another exponential accuracy chart. The circular financing story worries me most; when chipmakers are also investors and customers of the same companies, that's not a market, it's a hall of mirrors, and someone always gets left holding the bill when the music stops.
Read more about this at: The Algorithmic Bridge
