The biggest threat to enterprise AI ROI isn't model quality it's infrastructure economics. With GPU capacity sold out, hyperscalers rationing access, and agentic workflows multiplying compute consumption 10–100x, companies are hitting a wall. The answer isn't waiting for new chips it's sovereign, efficient AI: compressed models that run where you need them, at the scale you can afford. Multiverse Computing will show how efficient and optimized AI models that reduce their inference costs by 50-80%, giving enterprises, ISVs, and governments a concrete path to AI independence and cost control.
