Though hype and doomerism tend to suck up a lot of oxygen in the AI discussion, it will probably be more productive for Americans to focus on the concrete goals desired by leaders in the industry. Then we may ask whether and how a majority of citizens might be convinced those goals are worthy of the effort required to attain them. I propose we focus first on the question of “compute”—how much computing power is required to operate cutting-edge AI at scale, and what kind of data centers are required to provide it.
There are some in the AI industry—developers, advocates, and the “hyperscalers” who want to build super-massive data centers—who do what they do out of an obsessively spiritual devotion to what they’re building. But a great deal of the business is run by successful Americans in the industry who mostly just really enjoy doing what they do best, which is building new things using state-of-the-art tools. This may not be obvious to the cross-partisan group of citizens who range from skeptical to hostile toward AI, who tend to think of all tech enthusiasts as wide-eyed, quasi-religious fanatics dreaming of a robot apocalypse or singularity. So for skeptics, an important reality check is realizing that many—probably the majority—of AI’s day-to-day builders have more practical and cosmically modest aims.