Artificial intelligence has a problem. Actually, it has several. Technology companies are spending hundreds of billions of dollars building massive data centers to train and operate increasingly powerful AI models. But those investments won't accomplish much if companies can't get the chips, memory, electricity, and other equipment needed to make those facilities work. That creates bottlenecks for growth, and it's part of why AI stocks' performance has been choppy lately. The Nasdaq-100 Technology Sector Index is down more than 5% in the last week and 2% in the last 30 days. Investors recognize that even as chipmakers make more powerful processors, companies are encountering new AI-related limitations in memory, connectivity, power, and cooling.
CryptoAlerta — análise de criptomoedas e mercado em tempo real