"Even with this conservative adoption scenario, you can see that Company B's MAA takes over Company A's MAU in just 2 months on Month 8. At Month 12, Company B's MAA is about 2x Company A's MAU. This a conservative illustrative example and it's crucial to understand that the scale of these new metrics operates on a completely different plane."
"While one human represents a single user, that same human could delegate tasks to hundreds or even thousands of autonomous AI agents simultaneously. This creates a massive divergence in growth trajectories. A mature SaaS product might see its human-centric Monthly Active Users grow by a respectable 1% month-over-month. However, as its customers begin deploying agents, its Monthly Active Agents could explode, growing at an exponential rate of 25% month-over-month."
"In Month 6, 25% of MAU uses 1 agent per month and their agent usage grows by +1 per month. By Month 12, 25% of MAU uses 7 agents per month. Each AI agent triggers 1.5 other AI agents per month on average."
AI agents fundamentally change product growth dynamics by enabling exponential scaling beyond traditional user metrics. Company B, growing slower than Company A initially, launches agent-ready connectors in Month 6 with conservative adoption assumptions: 25% of users adopt agents, starting with one agent per month and increasing by one monthly, with each agent triggering 1.5 additional agents. By Month 8, Company B's Monthly Active Agents surpass Company A's Monthly Active Users, reaching 2x by Month 12. This demonstrates how autonomous agents operate on a different scale than human users—one person can delegate to hundreds or thousands of agents simultaneously. While traditional SaaS products see linear growth of 1% monthly, agent-enabled products experience exponential growth of 25% monthly, creating massive divergence in growth trajectories and embedding products deeper into customer operations.
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