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

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

Goldman Sachs Research predicts that AI costs are on track to rival engineering headcount in 2026.