Why is nobody talking about Meta's $145 billion AI spending as the ultimate case study for crypto AI hype?
Traders keep losing money chasing AI tokens every time a tech giant announces more spending. The FOMO into names like $FET gets painful when the numbers do not add up.
Meta drops Q3 earnings on October 21. Analysts have $63.34 billion in revenue and $6.53 per share on their models.
Ads on Facebook, Instagram and Reels still print the cash. The real question is whether AI tools are making those ads perform better and if the Muse assistant with its 2 million users is more than just a vanity metric.
This is the case study crypto needs. If Meta cannot prove the AI bet is paying off after that kind of capital, it should make everyone rethink the valuations on $TAO and $AGIX.
Anyone else seeing this as a potential turning point for the AI narrative in crypto?
#AI #Crypto #Earnings
Traders keep losing money chasing AI tokens every time a tech giant announces more spending. The FOMO into names like $FET gets painful when the numbers do not add up.
Meta drops Q3 earnings on October 21. Analysts have $63.34 billion in revenue and $6.53 per share on their models.
Ads on Facebook, Instagram and Reels still print the cash. The real question is whether AI tools are making those ads perform better and if the Muse assistant with its 2 million users is more than just a vanity metric.
This is the case study crypto needs. If Meta cannot prove the AI bet is paying off after that kind of capital, it should make everyone rethink the valuations on $TAO and $AGIX.
Anyone else seeing this as a potential turning point for the AI narrative in crypto?
#AI #Crypto #Earnings