4.8 • 1.1K Ratings
🗓️ 8 January 2024
⏱️ 32 minutes
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0:00.0 | LinkedIn News. |
0:05.0 | from the news |
0:07.0 | From the news team at LinkedIn, I'm Jesse Hemple and this is Hello Monday. |
0:11.0 | Happy New Year from all of us who make the show. |
0:18.4 | It's gonna be a really big year. |
0:20.8 | There is so much change happening pretty immediately in the short term. |
0:25.0 | Like a presidential election ahead in the United States. |
0:29.0 | AI is also going to be transformative this year. |
0:32.0 | A lot of things that we have taken for granted are going to change. |
0:35.2 | I mean really that is the only constant, right? Change? And this time of year we often consider predictions about what's ahead. |
0:45.0 | The reasoning here is that the more we can draw on what we know has happened, |
0:49.0 | to predict what we believe will happen, the better prepared will be. That's how we decide how much to save for retirement or whether to take a new job or to book a |
0:59.5 | camping trip in California next August. I mean the reasoning here is that it can't possibly |
1:05.1 | rain next August in California because it doesn't rain on the West Coast in the summer, right? |
1:10.9 | Here's the thing. We are not always great at prediction. Back yourself up four years. |
1:16.0 | Would you have predicted a global pandemic in January of 2020? Or think about your own |
1:21.7 | personal circumstances. Would you have predicted the life you have now? |
1:26.0 | The job, the friends, where you live? |
1:30.4 | In the world, it's only becoming more unpredictable. |
1:34.0 | It rained in California last summer, just saying. |
1:38.0 | So this week, we're going to try to focus on getting smarter |
1:41.0 | about how and when we make predictions. Our guest is Kit Yates. |
... |
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