𝗧𝗥𝗘𝗫𓅯@Trextxxy
Every time I read about another AI company raising billions for infrastructure, I end up with the same question.
When does this business become normal?
A few years ago, the challenge was convincing people to use AI.
Now the challenge seems to be keeping up with the people who already use it.
The strange part is that every improvement creates a new bill somewhere.
Make a model smarter and people give it more work.
Make it faster and people expect instant responses.
Make it cheaper and people start using it for things they never would have considered before.
Nobody signs up for ChatGPT and stops at five prompts.
A student starts with homework help.
A developer starts with debugging.
A company starts with customer support.
Before long, the AI is involved in dozens of tasks that did not exist a year earlier.
Which means the industry has a funny problem:
The technology keeps getting more efficient, but people keep finding ways to consume even more of it.
It is a bit like building a wider road and discovering that traffic got worse because now everybody wants to use it.
OpenAI, Anthropic, Meta, Google and others are spending billions on chips, data centres and infrastructure, yet demand still seems to grow faster than anyone expected.
So I keep wondering:
Does AI eventually become cheaper and easier to run as the technology matures?
Or are we creating something where every efficiency gain simply unlocks the next wave of consumption?
Because if the second one is true, the biggest challenge for AI may not be intelligence.
It may be paying for all of it.
