Kyle Poyar: The State of AI Pricing in 2025 скачать в хорошем качестве

Kyle Poyar: The State of AI Pricing in 2025

"Up until a couple years ago, SaaS pricing used to be kind of boring, especially at the startup stage. Folks would undercharge, figure out who gets the most value for their product, build products for those companies, raise prices, rinse and repeat." At 80% SaaS margins, that works phenomenally. But when you potentially have millions in hard inference costs (at enterprise scale), your monetization lag can't be months... you have to be ready to adapt pilots, pricing and billing in days or weeks. Batting lead off at the Monetizing AI summit was Kyle Poyar, one of the most respected voices in pricing and monetization out there. He talked through the state of AI pricing, what's happening now, and where leaders think things are heading (backed by some great proprietary polling data). Check out the full video (and stay tuned for breakout insights to come). What you’ll learn • Why AI cost curves make flat fees dangerous… and how to avoid negative-margin customers • How the biggest players are changing pricing faster than ever — and what to copy vs. skip • The shift from “owning” to “hiring” AI products (hello, people/hiring budgets) • Why hybrid models (platform fee + credits) are winning — and when to layer outcomes on top • How outcome metrics, not just usage, unlock pricing power (if you can measure them) • Real examples: chargeback recovery as outcome pricing; consumer-friendly credit models ----------------- 🚀Focus on growing your SaaS, we’ll handle the monetization! Visit 👉https://schematichq.com ----------------- ⏳Chapters Chapters 00:00 Opening — undercharging risk, “unlimited” doesn’t work, hiring vs. owning 00:52 Why this summit + why pricing is neglected… and why flexibility is now table stakes 03:30 Kyle’s lay of the land (15 yrs in pricing) — why AI breaks “boring SaaS pricing” 05:05 The cost trap — heavy users, flat fees, and negative margins 06:20 LLM costs aren’t dropping 10x… plus token volume is exploding 08:10 Big players are scrambling and iterating pricing faster than normal 09:10 From cars to chauffeurs — a simple analogy for evolving pricing models 10:20 Hiring the product — tapping people/hiring budgets, not just tech budgets 11:20 Capturing more economic value as you move toward outcomes/managed service 12:30 The five common AI pricing models (flat, seats, usage, hybrid, outcomes) 13:40 Survey insight — hybrids (platform + credits) are surging; “unlimited” is fading 15:10 Outcome-based as the north star; how to communicate value and ROI 16:20 Twilio-style ROI framing buyers actually understand 16:46 Q&A 16:56 Outcome pricing that works (Chargeflow), CX examples, consumer translation 19:50 Credits in consumer: ClassPass, meal kits, gaming — not new, just useful 21:19 When outcomes take months — use micro-outcomes you can measure sooner 23:26 Penalties & fairness — platform fee + outcome bonus, define “outcome” precisely 25:10 Wrap ----------------- #️⃣ Hashtags: #AIpricing #SaaSMonetization #UsageBasedPricing #CreditBasedPricing #OutcomeBasedPricing