Matthew Kael Swanson on AI That Gets Paid for Performance | Ep1237
In this episode of The Digital Executive Podcast, Brian Thomas sits down with Matthew Kael Swanson, a longtime AI entrepreneur and founder of StaffAI, to explore how artificial intelligence is reshaping business models and the modern workforce.
Matthew explains the shift from traditional subscription pricing to outcome-based models, where AI is paid based on results—like revenue generated—rather than usage. He shares real-world examples of AI employees taking over repetitive desktop tasks while enabling human workers to move into higher-value, more meaningful roles.
The conversation also tackles growing concerns around data security, with Matthew առաջարկing a novel approach: treating AI like a contractor, complete with controlled access and clear ownership structures. Finally, he dives into the concept of “flow,” describing how AI can free humans from rigid, repetitive work and allow them to focus on creativity, collaboration, and real-world problem-solving.
This episode offers a forward-looking perspective on how AI can drive productivity while creating more fulfilling work for people.
If you liked what you heard today, please leave us a review - Apple or Spotify.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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In this episode of The Digital Executive Podcast, Brian Thomas sits down with Matthew Kael Swanson, a longtime AI entrepreneur and founder of StaffAI, to explore how artificial intelligence is reshaping business models and the modern workforce.
Matthew explains the shift from traditional subscription pricing to outcome-based models, where AI is paid based on results—like revenue generated—rather than usage. He shares real-world examples of AI employees taking over repetitive desktop tasks while enabling human workers to move into higher-value, more meaningful roles.
The conversation also tackles growing concerns around data security, with Matthew առաջարկing a novel approach: treating AI like a contractor, complete with controlled access and clear ownership structures. Finally, he dives into the concept of “flow,” describing how AI can free humans from rigid, repetitive work and allow them to focus on creativity, collaboration, and real-world problem-solving.
This episode offers a forward-looking perspective on how AI can drive productivity while creating more fulfilling work for people.
If you liked what you heard today, please leave us a review - Apple or Spotify.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Learn more about your ad choices. Visit megaphone.fm/adchoices
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