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In-Ear Insights: CEO Perspective on Generative AI and the Future of Work
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the future of work and how the capabilities of generative AI are changing how executives think about building a team. Learn why simply cutting staff to save money is not a viable long-term strategy. Discover the questions you should ask to accurately assess your needs and build a plan. Understand the importance of including your team in the decision-making process to foster transparency, ownership, and innovation.
Watch the video here:
Can’t see anything? Watch it on YouTube here.
Listen to the audio here:
https://traffic.libsyn.com/inearinsights/tipodcast-ceo-generative-ai-meeting-goals-future-of-work.mp3
Download the MP3 audio here.
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Machine-Generated Transcript
What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode.
Christopher Penn – 00:00
In this week’s In Ear Insights, let’s talk about the future of work and generative AI’s impact on it. There is an old adage: fast, cheap, good — choose any two. That applies to pretty much everything. If you want something fast and good, it’s not going to be cheap. If you want something good and cheap, it’s not going to be fast, and so on and so forth.
This adage applies to human endeavors. With generative AI, with enough skill and experience and things like prompting and building systems, you can have all three. You can have something that’s fast, cheap, and good. It may not be great, but it will be good.
Christopher Penn – 00:36
For example, if you wanted to, as we talked about on recent live streams, if you wanted to create things like editorial calendars or content newsletters and podcast outlines, today’s generative AI tools are very skilled at creating those things, either for a human to do or in some cases, just do it outright for you. Depending on how good your data is, this is going to change how executives and stakeholders and CEOs make decisions about hiring, about retention, about the structure of a workforce and the future of work itself.
So, Katie, when you think about a world where fast, cheap, and good is achievable — all three — by machines versus the human limitations of “choose any two,” how does that, how do you…
Katie Robbert – 01:26
Look at that as a CEO? With huge skepticism. And I say that because it, because we’ve only ever seen two of the three. To believe that you can get all three feels really risky. And so I think that executives should be curious, but I think that they should proceed with that bit of skepticism.
So, what I’m seeing a lot of executives do is open their arms and embrace generative AI with no real consideration for the long term ramifications. And so they’re just saying, “Great, let’s bring it in, let’s make some money. Let’s fire half the workforce because they can do it.” So, it’s a l
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By Trust Insights
5
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In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the future of work and how the capabilities of generative AI are changing how executives think about building a team. Learn why simply cutting staff to save money is not a viable long-term strategy. Discover the questions you should ask to accurately assess your needs and build a plan. Understand the importance of including your team in the decision-making process to foster transparency, ownership, and innovation.
Watch the video here:
Can’t see anything? Watch it on YouTube here.
Listen to the audio here:
https://traffic.libsyn.com/inearinsights/tipodcast-ceo-generative-ai-meeting-goals-future-of-work.mp3
Download the MP3 audio here.
[podcastsponsor]
Machine-Generated Transcript
What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode.
Christopher Penn – 00:00
In this week’s In Ear Insights, let’s talk about the future of work and generative AI’s impact on it. There is an old adage: fast, cheap, good — choose any two. That applies to pretty much everything. If you want something fast and good, it’s not going to be cheap. If you want something good and cheap, it’s not going to be fast, and so on and so forth.
This adage applies to human endeavors. With generative AI, with enough skill and experience and things like prompting and building systems, you can have all three. You can have something that’s fast, cheap, and good. It may not be great, but it will be good.
Christopher Penn – 00:36
For example, if you wanted to, as we talked about on recent live streams, if you wanted to create things like editorial calendars or content newsletters and podcast outlines, today’s generative AI tools are very skilled at creating those things, either for a human to do or in some cases, just do it outright for you. Depending on how good your data is, this is going to change how executives and stakeholders and CEOs make decisions about hiring, about retention, about the structure of a workforce and the future of work itself.
So, Katie, when you think about a world where fast, cheap, and good is achievable — all three — by machines versus the human limitations of “choose any two,” how does that, how do you…
Katie Robbert – 01:26
Look at that as a CEO? With huge skepticism. And I say that because it, because we’ve only ever seen two of the three. To believe that you can get all three feels really risky. And so I think that executives should be curious, but I think that they should proceed with that bit of skepticism.
So, what I’m seeing a lot of executives do is open their arms and embrace generative AI with no real consideration for the long term ramifications. And so they’re just saying, “Great, let’s bring it in, let’s make some money. Let’s fire half the workforce because they can do it.” So, it’s a l
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