Metronome and Stripe Put the Future of AI Monetization on the Table in May 14 Webinar

Boardrooms across software are starting to confront an uncomfortable equation: when autonomous agents can execute the workload of multiple employees, the old economics behind seat-based pricing stop making sense fast. For 20 years, software pricing revolved around human seats. One employee. One login. One subscription. Investors loved it because recurring revenue behaved predictably. Then autonomous agents entered the market and started performing the work of multiple employees simultaneously. Suddenly, charging per user starts looking outdated fast.

That pressure is exactly what Metronome is addressing in its upcoming May 14, 2026 webinar, “How agents are changing monetization,” hosted by Metronome, now part of Stripe’s Revenue Suite. The session brings together Kyle Poyar, Founder of Growth Unhinged, and Scott Woody, who leads Stripe’s Revenue Suite after previously serving as CEO and founder of Metronome. Together, they’re stepping directly into one of the most important infrastructure conversations happening in software right now: how companies charge for value when the “user” increasingly stops being human.

The timing feels surgical. AI has already moved beyond copilots and productivity assistants into autonomous execution. Agents are handling workflows, support operations, research tasks, and software interactions without waiting for a human hand to click a button. That creates a brutal math problem for legacy pricing models. If software reduces the number of human workers needed to perform a task, then charging per employee seat quietly shrinks your own revenue base. Great product. Terrible equation.

Metronome understands that collision better than most because the company has been building the monetization infrastructure underneath this transition for years. Now operating inside Stripe, the conversation gets bigger than billing software. It becomes about the future mechanics of digital commerce itself. Real-time metering. Usage-based pricing. Hybrid monetization models. Streaming payments tied directly to delivered outcomes instead of static subscriptions collecting dust like forgotten gym memberships in January.

Kyle Poyar brings the strategic pattern recognition operators trust across the market. Through Growth Unhinged, Kyle Poyar reaches more than 80,000 GTM leaders, founders, investors, and growth operators studying how software monetization is evolving in real time. His background includes serving as Operating Partner at OpenView, where he helped portfolio companies scale from $1M to more than $100M ARR, alongside earlier pricing and packaging work at Simon-Kucher & Partners. When Kyle Poyar talks about monetization shifts, founders listen because he studies the behavior patterns forming across the entire market, not just one company’s spreadsheet.

Scott Woody brings the engineering reality underneath the strategy. Before founding Metronome and later leading Stripe’s Revenue Suite, Scott Woody helped scale Dropbox’s Growth & Monetization engineering organization to more than 10M paying customers. That experience matters because AI-native pricing models are not just finance decisions anymore. They are infrastructure decisions. Companies now need systems capable of tracking autonomous usage, measuring delivered value, and billing dynamically without turning customer trust into collateral damage.

The webinar’s focus areas cut straight into the pressure points reshaping SaaS economics right now: architecting for agentic scale, shifting from monthly recurring revenue toward real-time value exchange, and breaking down how companies like Clay, Figma, and PostHog are adapting monetization strategies for the AI era. Those examples matter because the market has already moved past theory. These companies are making pricing changes live, in public, while investors, operators, and competitors watch every move like traders staring at Bloomberg terminals during a rate announcement.

That’s why this event lands with weight. Metronome and Stripe are not talking about AI as a feature layer. They’re talking about the financial operating system underneath the next generation of software businesses. The companies that figure this out early will build durable monetization engines around autonomous work. Everyone else risks becoming the corporate equivalent of a mall map after the stores already closed.