Companies that Charge for Measurable Results will Dominate their Industry
Mar 6, 2025 ·
17m 11s
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Description
Greg Twemlow's article argues that the dominant business model is shifting from subscription-based access to AI tools towards outcome-based pricing. Drawing parallels to Google's disruption of Microsoft's software dominance with...
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Greg Twemlow's article argues that the dominant business model is shifting from subscription-based access to AI tools towards outcome-based pricing. Drawing parallels to Google's disruption of Microsoft's software dominance with pay-per-click advertising, the author contends that customers are experiencing subscription fatigue and prefer paying only for tangible results delivered by AI. Examples like Intercom and Zendesk's per-resolution pricing for AI chatbots illustrate this emerging trend. This shift challenges established AI companies that are reliant on recurring revenue but offers a significant opportunity for startups to innovate with models aligned with customer success. Ultimately, companies that embrace charging for measurable results, rather than just access, are predicted to lead their respective industries. Read the article.
About the Author - Greg Twemlow writes and teaches at the intersection of technology, education, and human judgment. He works with educators and businesses to make AI explainable and assessable in classrooms and boardrooms — to ensure AI users show their process and own their decisions. His cognition protocol, the Context & Critique Rule™, is built on a three-step process: Evidence → Cognition → Discernment — a bridge from what’s scattered to what’s chosen. Context & Critique → Accountable AI™. © 2025 Greg Twemlow. “Context & Critique → Accountable AI” and “Context & Critique Rule” are unregistered trademarks (™).
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About the Author - Greg Twemlow writes and teaches at the intersection of technology, education, and human judgment. He works with educators and businesses to make AI explainable and assessable in classrooms and boardrooms — to ensure AI users show their process and own their decisions. His cognition protocol, the Context & Critique Rule™, is built on a three-step process: Evidence → Cognition → Discernment — a bridge from what’s scattered to what’s chosen. Context & Critique → Accountable AI™. © 2025 Greg Twemlow. “Context & Critique → Accountable AI” and “Context & Critique Rule” are unregistered trademarks (™).
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