Classic argumentum ad populum fallacy. The world allocated the equivalent of trillions to the dotcom bubble shortly before it became the dotcom bust, mortgage CDOs before the 2008 debt crisis, and the cryptocurrency mania before its bubble popped. The world has allocated vast sums of money to rather stupid things many, many times in the past.
> Every major tech company - the ones poised to get the first best rewards, have already gotten good incremental revenue from AI via ads ranking/recommendations (Google, Meta, etc.)
That's just software evolving. It happened before LLMs, it would happen without LLMs.
> good productivity increases due to scale of workforce and advanced in house tooling.
But I don’t really understand: the ask is for evidence AI is generating meaningful returns and it demonstrably is, even while we have integrated these tools only partially. “Just software evolving” um yes, I agree, just that now this happens faster and more efficiently. It is also more than that: models that power advertising and content recommendation at TikTok, Google, Facebook, Instagram, etc are not just “software evolving” it is meaningful improvements to models that are only possible with good AI.