Aug 11, 2026 · 1 hr 8 min · 13 segments
🎙️ The Listening Signal: What Happens When AI Can Make the Music? What happens to human creativity when AI can make the music? For musician, educator, producer, and Music Mindfulness founder **Josh…
Josh BrillGuest
Shilpa LewisHost
I had a real big realization with AI last summer as I was working on my business.

And you've got groupings of nodes and Their information is being passed of, here's the task, and then you have the task being processed and the task being delivered.

I know nothing about computer programming, but my little bit, it seems like the exact same operations.

So a corporation of 100 people to some groups are doing copywriting, some group is doing You know, this version of marketing, some is doing accounting and all like, and everybody's kind of splitting up the tasks according to their specialty.

So in our waking state, most of us have X amount of productive hours where we're at our height, you know, eight to 12, roughly, maybe a little more if we really stretch it, but it's not generally sustainable for most people.

So we have a limit to how much time in this unit of a day we can produce something, understand something, process something, deliver something.

So all of a sudden there's 800 units of time that's being processed information.

So it moves within eight hours, we get 800 hours of time energy being put through people.

Most of those activities, and this, of course, depends on the company, so this is kind of a generalization, but this is what my awareness was, was our computation-based stuff, things that computers do, like, for example, copywriting.

And how do you deliver a series of words in a way that's the most easy to understand for the desired result? Accounting is very clear.

Takes a lot of people, takes energy, takes a lot of capital to pay them for energy, time, and significantly, yeah, it's quite expensive to get a lot of precision with a large group of people from that perspective.

So What I saw was like, oh, wow, here's what AI begins to do is takes away all of that from us that perhaps was never really what we're meant to do anyways.

I had a real big realization with AI last summer as I was working on my business.

And you've got groupings of nodes and Their information is being passed of, here's the task, and then you have the task being processed and the task being delivered.

I know nothing about computer programming, but my little bit, it seems like the exact same operations.

So a corporation of 100 people to some groups are doing copywriting, some group is doing You know, this version of marketing, some is doing accounting and all like, and everybody's kind of splitting up the tasks according to their specialty.

So in our waking state, most of us have X amount of productive hours where we're at our height, you know, eight to 12, roughly, maybe a little more if we really stretch it, but it's not generally sustainable for most people.

So we have a limit to how much time in this unit of a day we can produce something, understand something, process something, deliver something.

So all of a sudden there's 800 units of time that's being processed information.

So it moves within eight hours, we get 800 hours of time energy being put through people.

Most of those activities, and this, of course, depends on the company, so this is kind of a generalization, but this is what my awareness was, was our computation-based stuff, things that computers do, like, for example, copywriting.

And how do you deliver a series of words in a way that's the most easy to understand for the desired result? Accounting is very clear.

Takes a lot of people, takes energy, takes a lot of capital to pay them for energy, time, and significantly, yeah, it's quite expensive to get a lot of precision with a large group of people from that perspective.

So What I saw was like, oh, wow, here's what AI begins to do is takes away all of that from us that perhaps was never really what we're meant to do anyways.
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