Companies are paying billions of dollars for more compute power to run AI systems, despite the inefficiency.

Graphics cards (GPUs) running agentic AI systems on hard problems often sit at only 40% utilization.

People are paying thousands of dollars a month for electricity bills because AI data centers are consuming large amounts of electricity.

Goldman Sachs Research indicates that companies are overrunning their initial AI inference budgets by orders of magnitude.

Meta had to raise its AI infrastructure spending guidance because component prices are up and they need more data centers.

The way current AI systems run on computers is incredibly inefficient.