![]() Lucia Rahilly: We’ll talk more about some of the risks, but let’s turn to what these kinds of generative AI capabilities mean for talent in particular. Google Podcasts Apple Podcasts Spotify Stitcher RSS What gen AI means for recruiters. There’s a great term for that: “hallucinating.” That is kind of why people say, “Gosh, it feels really clever.” But to your point, Bryan, it’s not 100 percent accurate. ![]() I’m not suggesting it’s thinking the way humans do, but in many ways, we use shortcuts and cues to make assumptions. Lareina Yee: In some ways, that emulates how we think. I thought it was very interesting that you don’t necessarily get what’s right but rather what’s logical. However, it inaccurately reported that I went to Cornell because it assumed that Cornell was the most appropriate answer based on my background instead of the University of Virginia-where I did go. It’s amazing the range of things that generative AI can do in the world, and it’s just getting started.īryan Hancock: I asked ChatGPT about myself, and it accurately reported that I do a lot of work on talent. I might want a song, audio, video, or code. A lot of people have used ChatGPT to summarize information, to draft a response to something, by pulling together an enormous amount of public data. ![]() Lareina Yee: Generative AI is a technology that prompts the next best answer. Explain what generative AI is, so we’re working from a common definition of that term. Lucia Rahilly: The immediacy of the use cases feels so novel and so lightning fast. Lean forward and figure out how to use it in a way that’s productive and safe. It’s probably not the best strategy to try to put it back in. In some ways, the genie is out of the bottle. That is a profound impact on talent and jobs, and it’s different than how we’ve talked about it before. OpenAI’s research estimates that 80 percent of jobs can incorporate generative AI technology and capabilities into activities that happen today in work. We’ve seen a lot of advancement in the technology since then, and it’s only been a couple of months.Ī second super-interesting thing is you don’t need to be a computer scientist to leverage the technology-it can be used in all types of jobs. There was an experience there that was accessible to everybody. So the speed of adoption was unlike anything we’ve seen.įor me, what was most profound about that moment was that anyone-of any age, any education level, any country-could go onto GPT, query a question or two, and find something practical or fun, like a poem or an essay. In November 2022, OpenAI released ChatGPT 3.5, and within five days, there were a million users. Lareina Yee: A couple of things stand out about generative AI. Lareina, what’s different about generative AI, and what’s behind its disruptive potential? Many people seem to be ricocheting between wonder at the potential of these tools and fear of their inherent risks. Lucia Rahilly: There has been so much buzz in recent months about generative AI and tools like ChatGPT. An edited version of their discussion follows. On this episode of the McKinsey Talks Talent podcast, talent leaders Bryan Hancock and Bill Schaninger talk with McKinsey Technology Council chair Lareina Yee and global editorial director Lucia Rahilly about the promise and pitfalls of using gen AI in HR-from recruiting to performance management to chatbot-enabled professional growth. And it’s poised to change the way we work.
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