Engineers within Google are encountering capacity constraints when attempting to use AI for code generation, stemming from internal competition for computing power. This internal bottleneck emerges despite a recent consensus among investors and financial media that Google was leading in frontier AI.
Google's internal compute capacity is a binding constraint on its own AI development and adoption, challenging its perceived leadership in frontier AI.