Live from Davos: Is AI Displacing Jobs—Or Reimagining Them?

0:01This episode is brought to you by Google Chrome. You think you know a browser, but Gemini and Chrome, that's new. It can help you with practically anything on the web, like restoring a vintage motorcycle from a 50-page restoration block, or finally break down that long article you've had open for weeks. Gemini and Chrome is here for it. Ready to make anything online make sense? There's no place like Chrome. Check responses set up required. Compatibility and availability varies 18+. lululemon's new drop of daily essentials feels like a deep breath of fresh air breezily is a collection of drapey pants shorts and tanks designed to mix and match with your wardrobe as the weather warms up it's all made in our lightweight stretchy swift fabric throw on these everyday staples after practice and bring an airy feel to your daily moves shop the breezily collection now at lululemon.com The real truth is it's so dynamic and we are at a precipice right now that if you say to your employees there's not going to be any job disruption, I think you lose all credibility because all of them get it that there's going to be.

1:13that's really early on. And a year from now, it's going to be radically different. It's going to be very hard for people graduating from colleges to come in to companies because a lot of the entry-level stuff will be automated. The tech, in my estimation, is going to be there. Machines can do most anything we do better than we can do it. And I have to admit, I just fundamentally disagree with that. I know you do. Can people get better? Can technology be a platform that enables people to get better? Let's just say we're in a constant race between humans and machines. If we're just going to say today, the best we are today is the best we're ever going to be, then computers will outpace us.

2:00But if every time a machine gets better, a human can use that machine to get better, then I will argue that in many areas, machines will never catch up. It's all about whether we can inspire. I mean, talk about leadership. Are we not going to use as employers, as leaders, technology as tools to help our employees get better themselves? Of course we are. Machines learn at rates that are so much faster than we are. Like our inputs and outputs are so much slower. Like when I look at what machines can do right now, I can write my wife the most beautiful poem on her birthday right now. It takes about five seconds and then I readjust it.

2:45Let me challenge you on that. Hey Harold, you know, work at like five seconds, which will take like 20 hours. You have just illustrated an example. You said that a machine can write a better poem for your wife than you can. I don't know, what kind of husband does your wife want? Because she want to know what you think or what you can ask a machine to say she wants to hear.