Generative AI tools in the workplace
Damien reveals he is a generative AI avatar (jk jk) and discusses with Nikola the entrenchment of generative AI in the modern workforce, examining the pros and cons, and its applications across various organizational tiers. They cover topics such as consumer adoption rates, practical use cases, potential overutilization, and the concerns of data privacy and discovery. They cover the transforming world of communication, content creation, and other business functions, while emphasizing the need for proper training and governance to avoid pitfalls.
Never miss an episode.
"According to Adobe, more than half the people in America have at least tried generative AI tools once. And of those who use it regularly, more than half use it every single day."
AI is a great equalizer, but then equally, I think it increases, um, like it increases disparity between like people who can use technology well and those that can’t, even further, right? So like, you know, I imagine that when Google, you know, became what it is, you know, I think people who knew how to do that were like infinitely more productive than someone sourcing that information elsewhere.
Right. And yeah, they had to be sure that the information’s right. They had to have a healthy dose of skepticism. But it gave them really helpful pointers really fast, right? So like, if you have those, then you’re like, great. Okay, like, I think that the answer is this. Now I’ll go to my trusted sources and I’ll just validate it.
And if it happens to be right. Great. I’m done like way faster. Right. So similarly, I think, you know, the mundane part, and I think it’s like, uh, it’s hard to trust this data because I suspect that a lot of those people that use it every day, use it for a set of limited things. I know a bunch of people that use it for emails, right?
They write bullet points and be like, explore this. It’s a very nice verbose email. And honestly, if they send those bullet points over, that would probably be more efficient communication, but hey, pomp and circumstance, right? It still saves them time. And honestly gets better emails written. But then, you know, what’s funny on the other side is people use them to read emails and summarize things.
So, you know, the house wins either way. And, you know, hopefully, uh, you know, it’s a layer that helps everyone be a bit more productive.
"AI is a great equalizer, but then equally, I think it increases disparity between people who can use technology well and those that can't."
I think a lot of people use it to like Oh my God, I’ve got to read this. Paste it, summarize it for me. Are there risks? Yeah, probably some, right? Yeah. Um, the other risk of course, is people should know that they’re pasting like, you know, confidential data, et cetera.
I think OpenAI is really good at like, you know, building models that don’t like overfit in ways that they shouldn’t, but, you Hey, prompt to the right way. Maybe, you know, people learn something about your business, about your personal identifiable information. If you’ve put it in there and, you know, just like a thing to keep in mind as you share, but of course the thing that will be enterprise additions, and there are already all the alarms and things where you can do it in a way where you’re not sharing that data.
"People learn something about your business, about your personal identifiable information if you've put it in there and, just a thing to keep in mind as you share"
"Websites will still be important, but they'll be important as an information source and not so much as a source of organic traffic."