A closer look at “McKinsey and BCG Warn: Cheaper AI Tokens Could Drive Power Demand Even Higher”, exactly as the source publishes it. As artificial intelligence becomes more affordable, consulting giants McKinsey and BCG are cautioning that electricity consumption from data centers may surge rather than decline. In reports published this week, both firms highlight a counterintuitive dynamic: falling token prices—the cost per AI query—are likely to stimulate far greater usage, offsetting efficiency gains and pushing grid demand upward. McKinsey projects that data center power needs could triple by 2030, while BCG notes that even aggressive efficiency improvements may not curb absolute energy growth.
The reports point to major tech companies and utilities as key players navigating this tension between AI expansion and energy constraints. With AI adoption accelerating across industries, the findings underscore an urgent need for grid investment, advanced cooling, and renewable energy sourcing. This listing links straight to the original page, where the content is available in full.