Pricing in the AI Era: From Inputs to Outcomes, with Paid CEO Manny Medina

Former Outreach CEO Manny Medina argues AI agent companies must escape activity-based pricing or get competed to zero, and explains four pricing models that are working now.

• Narrow AI agents replacing BPO labor (insurance adjusters, freight brokers, policy renewals) are printing money; broad scope agents are not yet working.
• Four pricing models working today: activity-based, workflow-based, outcome bonus, and pay-per-agent — staying at activity-based invites commoditization.
• AI SDR agents can be priced at ~$20K/agent vs. $70-90K fully loaded human SDR, tapping HR headcount budgets instead of smaller RevOps tool budgets.
• Most current AI agent contracts are “vibe revenue” — trial POCs bought on AI mandate hype; renewal season will separate real stickiness from noise.
• Manny disagrees with the thesis that AI starts with highest-paying jobs; he believes AI sticks where labor pools are disappearing (retirement, high turnover, BPO-run work).
• Token cost will not simply fall in a reasoning-compute world; third-party API costs (voice, avatars, data) compound margins faster than LLM costs alone.
• Paid builds billing, margin management, and back-office infrastructure for AI agent companies; onboarding is manual and founder-led at this stage.
• Advice to AI founders: ignore VC pressure on TAM size — small TAMs become big TAMs if you deliver a superb experience to a narrow ICP.

2025-04-22 · Watch on YouTube