Author: Security Weekly - A CRA Resource - Bewertung: 0x - Views:0
AI infrastructure costs, including GPUs and token processing, continue to decrease as the technology matures.
At the same time, organizations are dramatically increasing how much AI they consume, shifting many platforms toward usage-based pricing instead of flat monthly subscriptions.
That creates a strange economic dynamic: cheaper technology can still lead to higher overall costs when demand and usage scale faster than efficiency improvements.
As AI companies search for sustainable profit models, businesses may eventually face hard decisions about where automation actually saves money — and where human labor may remain more cost-effective.
The conversation around AI is increasingly shifting from capability to economics.
Will AI adoption ultimately be limited more by technical capability or by operational cost?
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