Why Humans Are Still More Cost-Effective Than AI Compute

The idea that machines would be cheaper and more efficient than humans has long shaped expectations about automation.

That assumption is starting to break down. Training a large model to handle nuanced tasks can cost more than hiring a human to do the same work.

For many tasks, human labor remains the more cost-effective option.

Silicon Sticker Shock

We’ve reached a point where the cost of compute can exceed the cost of human labor. AI infrastructure requires significant power and cooling, driving up operating costs.