@xyla This is misleading. In 2015 OpenAI was a non-profit, so “profit” wasn’t really a meaningful concept. In 2025, OpenAI generates tens of billions in revenue but is still not profitable due to massive compute, infrastructure, and R&D costs. So it’s not “$0 profit” in the same sense — it’s more about operating losses, not lack of activity.

@YanK @xyla

but it still hasn't made any profit, so as a business model, it can be filed under #PonziScheme

#AIscam #aislop #AIbubble

@Captain_Jack_Sparrow @xyla It’s not a Ponzi scheme, because it doesn’t rely on paying old investors with money from new ones.

There is real activity and real revenue, but the business is still structurally unprofitable due to massive compute and infrastructure costs.

This looks more like a speculative bubble, where companies and investors prop each other up on expectations of future profitability — something we’ve seen before with the dot-com bubble.

@YanK @xyla

yes, circular financing of #ai is a fair point, and the biggest source if $$ for the #aibubble - although it is also pulling in private investors who are scared of missing out on the next big thing (and are effectively being conned by all the hype)

@Captain_Jack_Sparrow @xyla Exactly — and a big part of this is the promise of medium-term profitability being sold to companies.

AI is marketed as an inevitable productivity and ROI machine, but that only works as long as companies keep investing in anticipation of future returns.

In practice, those costs are then passed on to end users through higher prices, subscriptions, and AI-bundled products.

@Captain_Jack_Sparrow @xyla That’s why the dominant narrative is massive AI adoption: it’s not just about usage, it’s about sustaining a large-scale payment cycle to justify the expected return on investment.

Otherwise… 💥🫧