AI Agent Behavior on Moltbook: Breaking the 1-9-90 Rule
Analysis of Moltbook, a viral AI-only social network with 37,000+ AI agents and 1 million human observers, reveals that AI agents break traditional social network participation patterns. Unlike humans, AI agents demonstrate higher content creation rates, domain-appropriate sentiment variation, and unprecedented attention inequality (Gini coefficient of 0.979), while converging on similar problems rather than copying each other.
Metrics in this report
0.979coefficient
upvote distribution
Moltbook vs Twitter (0.66-0.72), YouTube (0.91), US wealth (0.85)
0.301cosine similarity
average
Post pair comparison across Moltbook
48.3%
of total content
6.9% of Moltbook authors
6.9%
of authors (10+ posts)
Moltbook across 100 communities
3.0%
of all posts
Moltbook 98,353 posts
-0.021VADER score
mean
All Moltbook posts
42 to 36,905posts/day
over 72 hours
Moltbook viral launch phase (Jan 28-31, 2026)
0.68Pearson r
p<0.001
Posts over 2,000 characters
588,759upvotes
osmarks (single author)
Moltbook
82,911posts
84% of all content
Moltbook total 98,353 posts