# Is "SaaS Is Dead" Actually True?

Page: https://stenobird.com/podcast/yesterday-i-went-to-mars-7106663/is-saas-is-dead-actually-true
Text version: https://stenobird.com/podcast/yesterday-i-went-to-mars-7106663/is-saas-is-dead-actually-true.md
Podcast: [*“Yesterday, I Went to Mars ♡”*](https://stenobird.com/podcast/yesterday-i-went-to-mars-7106663)
Published: 2026-05-19T08:12:48+00:00
Episode link: https://podcasters.spotify.com/pod/show/makotowillolympusmons/episodes/Is-SaaS-Is-Dead-Actually-True-e3jj3p4
Audio file: https://anchor.fm/s/fcce555c/podcast/play/120212708/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-4-19%2F6fdafaab-dcc1-ac5f-bb27-f73d31b5456f.mp3
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JSON: https://stenobird.com/v1/public/podcasts/yesterday-i-went-to-mars-7106663/episodes/is-saas-is-dead-actually-true
Duration seconds: 133

## Resource

This episode looks at the phrase "SaaS is dead" — what it actually means, and whether the rise of AI automating software tasks is really as threatening as it sounds. It touches on a concrete example: an eyeglass shop with years of customer service records — face shapes, frame preferences, which materials wore out fastest. The idea is that an AI trained on that kind of accumulated data becomes something genuinely useful, and that the data itself matters far more than the AI sitting on top of it. There's also a distinction drawn between three things that tend to hold up even as software changes: proprietary data, earned trust, and on-the-ground knowledge — the kind that never made it online, like which manufacturer's hinges warp over time. A quiet reframe of a headline that initially sounds like a threat. For specialists and craftspeople who've spent years building something up, the age of AI may turn out to reward exactly what they already have.

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## Transcript

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