{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"AI Monetization","title":"evolution of AI metrics - how to pick one","html":"","width":"100%","height":180,"duration":1124,"description":"evolution of AI metrics - AI Monetization · episode #2software pricing has changed shape seven times in 60 years, each shift happened because the previous model stopped capturing the value of the new technology. we're mid-way through shift number seven right now, and most vendors are picking the wrong metric for the wrong reasons.the short version tl;dr: consumption-based pricing is the current market default for AI. it's also the second-best model, and while outcome-based pricing is the right answer, but it requires solving attribution.and honestly, the attribution is the hardest unsolved problem in AI monetization, and we're focusing so much on that!all insights are mine, no AI slop, even though I am talking about LLMs and stuff - even this description is manually edited, crafted, and polished by myself - o tempora o mores, where we are as a world we actually need to say it...this episode walks through the whole history of software metrics, but with a twist on which metrics to actually pick and when:the seven pricing shifts, from mainframe hourly rates to outcome-based agentswhy per-license pricing worked in the PC era and broke when cloud hitthe birth of SaaS tiers and how \"customer success\" became a job titleseat-based pricing as the accidental default that lasted 20 yearsusage-based pricing and value metric picking (messages, mentions, keywords)why AI vendors reached for consumption pricing first - and of course why customers accepted ittoken-based pricing and the margin exposure problem when model costs drop 80% a yearoutput-based vs outcome-based: they're not the same thing, and you should kniow it!resolution pricing at Intercom, recovery pricing at Chargeflow - few examples I believe should be hereattribution as the wall every outcome-based startup eventually hitspick second best hypothesis: why software always picks the workable model first and the right one lateraconcrete framework for choosing your pricing metric in 2026solo-engineered by Maciej...","thumbnail_url":"https://img.transistorcdn.com/Xfpy8K7OY-eezkCs520_UP4v3JX3327LQEoWt9q_vlo/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81MmNi/YzE4YTNhYmExNWNj/MzY4YjgyOTA1YTZl/NGE0MS5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}