Summary
David Shapiro reflects on a new kind of overload that comes with increasingly capable AI models. Drawing on his experience with recent releases such as Opus 5.5 and GPT 6.1 Soul, he describes how the ability to do almost anything with AI creates analysis paralysis, because attention and time remain limited.
He argues that quota is no longer the main constraint for most users. The bottleneck is the human: the executive function needed to review, verify, and enjoy what AI produces. Generating books, fan fiction, animations, or research is just accumulating files unless a person engages with the results, and unused output is wasted token spend.
Shapiro compares the feeling to a quarter-life crisis, where the lesson is that you can do anything but not everything. His answer is to min-max, concentrating time, tokens, and attention on a few projects that matter instead of producing a flood of low-quality content. He frames the choice as quality over quantity, and as a personal reevaluation of how he uses AI as the tools keep improving.
📺 Source: David Shapiro · Published October 03, 2026
🏷️ Format: Opinion Editorial
