GM burnout & player drift — AI campaign manager to summarize, poll & pace

Executive Summary

Tabletop RPG GMs and session organizers routinely suffer from burnout and player drift: running ongoing campaigns requires tracking continuity, preparing scenes, and eliciting player priorities between sessions, and even small gaps in engagement can cause groups to dissolve. With about 50 million players and a plausible pool of several million active GMs (roughly 5M if 10% of players run games), improving retention and lowering prep time has meaningful upside for platforms and creators. You could build an AI Campaign Manager that ingests VTT logs, chat transcripts, or short recordings to produce concise session summaries, extract NPC and plot notes, run asynchronous player polls to surface priorities, and generate pacing recommendations and next-session beat cards. Productized integrations with major VTTs, exportable player-facing recaps, and a marketplace for community-authored templates and modules create clear hooks for subscription and creator-revenue models. The timing is favorable: the addressable market is roughly $2.5B (50M players × $50 ARPU), market and revenue indicators are strong (market score 92, revenue potential 86), remote-play adoption is growing, LLMs now handle summarization and content generation well, and creator economies are ready to monetize plug-and-play modules. To stand out you must deliver measurable operational value (e.g., aim to cut GM prep by 30–50% and demonstrably lift retention), prioritize tight VTT integrations and player-facing workflows, and emphasize data privacy and editable AI outputs. Major challenges are ensuring summary accuracy, securing consent and privacy for recordings, and competing with established ecosystem players; those are addressable through transparent controls, partnership deals with VTTs, and a focus on tangible GM time savings rather than generic content generation.