Exposing AI's real cost problem

[Tom D]

MSN

Microsoft reports are exposing AI’s real cost problem: Using the tech is more expensive than paying human employees​

Firms today are pushing employees to use as much AI as possible to squeeze out the technology’s productivity gains. But that pressure is leading to cracks, and those cracks may be irreparable.
That echoes what Bryan Catanzaro, vice president of applied deep learning at Nvidia, recently said in an interview with Axios. “For my team, the cost of compute is far beyond the costs of the employees,” he said.
As businesses turn to AI agents to boost productivity, aggregate costs could rise sharply even if the price of each token falls.

 

[jay trotta]

MSN

Microsoft reports are exposing AI’s real cost problem: Using the tech is more expensive than paying human employees​

Firms today are pushing employees to use as much AI as possible to squeeze out the technology’s productivity gains. But that pressure is leading to cracks, and those cracks may be irreparable.
That echoes what Bryan Catanzaro, vice president of applied deep learning at Nvidia, recently said in an interview with Axios. “For my team, the cost of compute is far beyond the costs of the employees,” he said.
As businesses turn to AI agents to boost productivity, aggregate costs could rise sharply even if the price of each token falls.

Like any new toy, car or anything else, during the excitement period everyone is in the "go for the gold" position, then cost factors show up. Kevin O'Leary is in the process of setting up something in Utah (I think a power grid for AI) and getting a lot of flak on that from the people.

IMO - is R&D being used properly or is the Rush for something new just shorting the system?