469: How to Keep Robots from Stealing Your Job with Alexandra Levit
How to Be Awesome at Your Job
How to be Awesome at Your Job
4.5 • 1.1K Ratings
🗓️ 26 July 2019
⏱️ 48 minutes
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| 0:00.0 | Welcome to the How to Be Awesome at Your Job Podcast, the show where brilliant professionals share how to sharpen the universal skills required to flourish at work. |
| 0:10.0 | Enjoy more career fun, wins, meaning, and money. |
| 0:14.0 | With your host, Pete McChitis. |
| 0:16.3 | Hello and thanks for joining us here for episode 469 |
| 0:22.2 | with Alexanderavitt. |
| 0:23.6 | I think you'll dig this chat with Alexandra because she is laying to rest, |
| 0:27.4 | you know, what do we need to worry about versus not worry about |
| 0:29.7 | with regard to robots and automation and the future of work in a sober, nuanced, measured way that is based on research and a lot of depth. |
| 0:41.0 | So I really appreciate it and I think it will help put you at ease and |
| 0:44.5 | position you wisely for which skills you should be sharpening. So you'll learn one |
| 0:48.4 | the problem with how organizations automate, two honest predictions about the future of the human workforce, and three, the |
| 0:54.8 | essential skills that make you future proof. |
| 0:57.5 | So if you want to check out the show notes or the transcript or the links to Adams we've |
| 0:59.9 | referenced, you'll find them over at awesome at your job. com slash F four six nine along with some other really cool stuff |
| 1:06.2 | such as the 10 days to winning at work email course which will show you how to |
| 1:09.5 | slash over 80 minutes of waste out of your work week each week so you can get home |
| 1:15.2 | earlier have a little bit more of life or just do some more strategically fun |
| 1:19.0 | interesting work that our human brains are apt to do. |
| 1:22.7 | Now here's Alexandra's story. |
| 1:24.2 | Alexander Leavitt has conducted proprietary research |
| 1:26.2 | on the future of work, technology adoption, |
| 1:28.0 | the millennial generation, gender differences in bias, |
... |
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