A reflection on the distinction between early-stage and late-stage hypergrowth and how it affects leadership decisions. In early-stage hypergrowth, companies serially solve their biggest problems, making it sensible to expand existing leaders' scope. In late-stage hypergrowth, companies must solve everything simultaneously to satisfy a skeptical late majority, making that approach counterproductive. The author draws a parallel to the current AI era, noting that small AI-empowered teams can speedrun early hypergrowth but it remains unclear whether the same approach works for late-stage hypergrowth — pointing to challenges like Anthropic's messaging to Claude Code power users as symptoms of this transition.

3m read timeFrom lethain.com
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