In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss unlocking workforce potential with generative AI and the evolving landscape of artificial intelligence in the workforce. They delve into the capabilities and limitations of AI, contrasting its performance against human tasks and creativity. The conversation highlights the importance of human critical thinking, decision-making, and creativity in the era of AI. You will gain insights into how AI and humans can coexist in the workforce, maximizing the potential of both. This episode is a must-watch for anyone interested in the future of AI and its impact on jobs.

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What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode.

In this week’s In-Ear Insights, let’s talk about the workforce potential of artificial intelligence.

We spent a lot of time and I know I spent a lot of time personally digging into the technology, what it is and how it works.

And today, let’s talk about the applications.

How is this stuff being used? So Katie, you found some stuff from the folks over gardener? Want to recap what you found?

Yeah.

So over the weekend, I was scrolling through LinkedIn, like everybody does, when they’re, you know, waiting for their tires to be rotated, or, you know, in line at the grocery store.

And what caught my eye was someone posting about the Gardner, a new video that they posted, unlock the potential of your workforce with AI, from their think, again series, and that I was reading through the comments of, you know, the person who posted it.

And so the whole premise of this research, we have it up on our screen, if you’re not watching our podcast, is that they have from 2023 to 2033, their predictions of people versus AI, essentially.

So what tasks will AI outperform people? And what tasks do the human outperform the AI counterpart? And unsurprisingly, the thing that AI is going to do better than human.

At the top of the list is weather prediction.

Well, no kidding.

Our meteorologists have been wrong for years, I would be shocked if AI could start to get it right, given all the crappy data that we have to give it.

But then you start to get into things that are really around development versus human tasks.</