Tokenomics: AI Has an income statement - it’s time to read it

Among the giants of the digital world, hyperscalers like Amazon, Google, Meta and Microsoft will collectively allocate more than $500 billion in capital expenditure to AI infrastructure this year.

When a handful of players invest upwards of half a trillion dollars in data centers, primarily to support AI, that tells us they see a ton of demand.

We can say with total certainty that they have every intention of recouping their investment (and then some).

CEO, AVEVA.

Indeed, the voracious demand expected from enterprises for AI capability is what has made hyperscalers, frontier labs and GPU makers darlings of the stock market.

However, their anticipated revenues are the future cash flows of companies, including those in industrial sectors like manufacturing, energy and transportation.

The Cost Shift We’re Not Talking About Enough

Up until recently, much of the discussion around AI costs has focused on training large language models...

Copyright of this story solely belongs to techradar.com. To see the full text click HERE