In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the impact of generative AI on businesses, especially hourly businesses like agencies. They explore the problems with time tracking and utilization rates, and how it breeds inefficiency. Katie shares her experience being forced to innovate on command. Chris talks about the importance of prompting generative AI with creative ideas. They discuss how to better align employee and employer incentives through value-based compensation. Ultimately, they conclude that the key is to leverage generative AI to automate repetitive tasks so people can focus on innovation.

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In this week’s In-Ear Insights, let’s talk about the impact that generative AI is having on businesses.

We know even just from what’s already happened in the last 18 months, that gender of AI obviously impacts, things like content creation, it impacts image creation, if you are running a clipart, or stock photography businesses is obviously a significant problem.

But over the weekend, and last week, I was chatting with some folks about hourly businesses.

And Katie, you and I, we worked at an agency for five ish years, and which is an hourly business with timesheets and time tracking and productivity and utilization and all that fun.

And I wanted to get your perspective on how you see things like generative AI impacting those businesses, because for a lot of C level folks, it’s a, it’s not just a technology thing, it is a this is going to fundamentally change the nature of your organization.

Well, let me take a step back for a second.

So you know, when we worked with the agency, we were definitely billing like that.

And then prior to that, when I worked at the other company, I was responsible for the overall product budget.

And every week when people would submit their timesheets, you know, I was me and the other product owners were chasing people around, trying to get them to reallocate their time, because when, you know, they didn’t know where to build their time, they would bill it to our products just as like, you know, general overhead, which would put all of our product budgets over.

And a lot of times, it was a software development team who were doing, you know, cleaning up technical debt,