1 00:00:02,480 --> 00:00:08,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to Bloomberg 2 00:00:08,680 --> 00:00:26,560 Speaker 1: BusinessWeek with Carol Messer and Tim Stenebek on Bloomberg Radio. 3 00:00:27,720 --> 00:00:31,319 Speaker 2: Carol, see if I can redeem myself here. I don't 4 00:00:31,440 --> 00:00:33,640 Speaker 2: know if you saw this elio today. There's some not 5 00:00:33,760 --> 00:00:37,120 Speaker 2: some great news for maybe year in name. Sarita Rye, 6 00:00:37,120 --> 00:00:39,760 Speaker 2: who covers AI in Asia, wrote in the Bloomberg Tech 7 00:00:39,840 --> 00:00:42,720 Speaker 2: Daily newsletter about how there are some pretty astonishing virtual 8 00:00:42,800 --> 00:00:45,760 Speaker 2: anchors in India. What from the public broadcast here, Here's 9 00:00:45,760 --> 00:00:49,400 Speaker 2: what they do. They prefer weather forecasts, commodity prices, farming trends, 10 00:00:49,440 --> 00:00:53,000 Speaker 2: and updates on agri research to in state welfare programs 11 00:00:53,040 --> 00:00:56,280 Speaker 2: to millions of farmers. She said she's pretty astonished by them, 12 00:00:56,280 --> 00:00:58,720 Speaker 2: and she writes that the same tech behind fake videos 13 00:00:58,760 --> 00:01:02,560 Speaker 2: of Ukrainian President Bolotomyr Zelensky surrendering to Russia or fake 14 00:01:02,560 --> 00:01:06,319 Speaker 2: Taylor Swift supporting Donald Trump is also being harnessed to 15 00:01:06,319 --> 00:01:09,319 Speaker 2: fill airwaves with legitimate news around the world. 16 00:01:09,680 --> 00:01:13,240 Speaker 3: Virtual anchors are one thing. I was gonna say, Taylor Swift, 17 00:01:13,280 --> 00:01:15,760 Speaker 3: Fake Taylor Swifts are one thing. But fake anchors, Yes, 18 00:01:16,240 --> 00:01:18,600 Speaker 3: virtual anchors. Now we've got a problem. 19 00:01:18,600 --> 00:01:20,119 Speaker 2: Should we be uneasy about the future. 20 00:01:20,640 --> 00:01:22,240 Speaker 3: I think maybe fair to say there's a lot of 21 00:01:22,280 --> 00:01:25,080 Speaker 3: uncertainties about the future, about what comes next, but knowing 22 00:01:25,080 --> 00:01:28,920 Speaker 3: what the future holds was our next guests job, Tim. 23 00:01:29,000 --> 00:01:31,720 Speaker 2: We got with us doctor Frederick Fert. He's founder of 24 00:01:31,880 --> 00:01:36,520 Speaker 2: Google's Innovation Lab and he was Google's first chief innovation analyst. 25 00:01:36,680 --> 00:01:39,480 Speaker 2: He's got a new book out, What's Next is Now 26 00:01:39,680 --> 00:01:42,960 Speaker 2: how to Live Future Ready? He joins us from Santa Cruz, 27 00:01:43,000 --> 00:01:46,280 Speaker 2: doctor Furt. Good to have you on the program. I 28 00:01:46,319 --> 00:01:48,920 Speaker 2: love the idea of this book, the fact that people 29 00:01:49,000 --> 00:01:52,600 Speaker 2: are so concerned about the future, and literally your job 30 00:01:52,760 --> 00:01:56,560 Speaker 2: was to explain the future too, folks at Google, and 31 00:01:56,560 --> 00:01:59,320 Speaker 2: that's exactly where I want to start. What does it 32 00:01:59,400 --> 00:02:03,000 Speaker 2: mean to be the chief innovation evangelist and founder of 33 00:02:03,040 --> 00:02:04,880 Speaker 2: Google's Innovation Lab. What did you do there? 34 00:02:06,880 --> 00:02:10,280 Speaker 4: Yes, Carol and Tim, thanks for having me today. I, 35 00:02:10,520 --> 00:02:12,560 Speaker 4: you know, love to dive into the future with you. 36 00:02:14,080 --> 00:02:18,760 Speaker 4: So what I really did is observing people how they 37 00:02:18,800 --> 00:02:21,520 Speaker 4: build the future and how they build a better future 38 00:02:21,600 --> 00:02:25,000 Speaker 4: for everyone. Right, So I spend time with you know, 39 00:02:25,160 --> 00:02:29,960 Speaker 4: thousands of people and trying to really figure out, like, 40 00:02:30,480 --> 00:02:33,960 Speaker 4: how can you create a better future for yourself and 41 00:02:34,000 --> 00:02:36,040 Speaker 4: that was really the driving question for me. 42 00:02:37,320 --> 00:02:41,160 Speaker 3: Well, you know, it's interesting. So when we think about that, 43 00:02:41,320 --> 00:02:44,400 Speaker 3: like creating a better future for ourselves, how much is 44 00:02:44,440 --> 00:02:46,280 Speaker 3: really in our control? How much is not? 45 00:02:48,680 --> 00:02:51,359 Speaker 4: Yeah, you make a great point, right. People often talk 46 00:02:51,400 --> 00:02:54,360 Speaker 4: about the past rather than the future because it's just 47 00:02:54,480 --> 00:02:59,000 Speaker 4: familiar and certain as it already has happened. Right. The 48 00:02:59,040 --> 00:03:02,280 Speaker 4: past really provides it's a sense of security and predictability, 49 00:03:02,320 --> 00:03:05,760 Speaker 4: which is comforting for our minds to be honest, However, 50 00:03:05,880 --> 00:03:09,080 Speaker 4: constantly thinking and dwelling on the past really limits our 51 00:03:09,120 --> 00:03:13,560 Speaker 4: ability to imagine and create a better future. So you 52 00:03:13,639 --> 00:03:17,600 Speaker 4: mentioned previously when it comes to our future, we love predictions, right, 53 00:03:17,639 --> 00:03:21,040 Speaker 4: We love predictions like the weather. And you know what's 54 00:03:21,600 --> 00:03:24,359 Speaker 4: what some futurists or other people might predict. 55 00:03:24,280 --> 00:03:29,040 Speaker 2: Back to the future part too great movie come true? 56 00:03:29,800 --> 00:03:30,320 Speaker 1: Exactly. 57 00:03:30,400 --> 00:03:32,720 Speaker 4: Yes, nothing of that might come true, right, But our 58 00:03:32,760 --> 00:03:35,920 Speaker 4: minds really crave these forecasts because they create a sense 59 00:03:35,960 --> 00:03:39,160 Speaker 4: of certainty. And this certainty, I think is a false 60 00:03:39,200 --> 00:03:42,440 Speaker 4: one because no one can predict the future. And so 61 00:03:42,920 --> 00:03:44,960 Speaker 4: what people are doing is they tend to adopt a 62 00:03:45,080 --> 00:03:48,240 Speaker 4: passive stance, right, waiting to see what happens next, feeling 63 00:03:48,240 --> 00:03:50,600 Speaker 4: that the future is something that happens to them rather 64 00:03:50,640 --> 00:03:54,080 Speaker 4: than something that they can influence. And so I'm now 65 00:03:54,200 --> 00:03:58,280 Speaker 4: challenging us to rethink our relationship with the future instead 66 00:03:58,280 --> 00:04:02,000 Speaker 4: of past. Yeah, go ahead, sorry please, Yeah, what might happen? 67 00:04:02,440 --> 00:04:05,040 Speaker 4: You know, I want us to actively participate in shaving 68 00:04:05,040 --> 00:04:05,800 Speaker 4: what will happen? 69 00:04:05,960 --> 00:04:06,120 Speaker 1: Right? 70 00:04:06,320 --> 00:04:08,880 Speaker 4: And I think the shift in perspective is crucial for 71 00:04:09,000 --> 00:04:12,120 Speaker 4: overcoming this inertia that keeps us tethered to the past. 72 00:04:12,320 --> 00:04:14,960 Speaker 2: But this is not simply about framing. It's not simply 73 00:04:15,000 --> 00:04:18,040 Speaker 2: about how you choose to look at the future. It's 74 00:04:18,080 --> 00:04:21,080 Speaker 2: actually about being an active role in changing the way 75 00:04:21,120 --> 00:04:22,120 Speaker 2: the future comes. 76 00:04:21,839 --> 00:04:26,200 Speaker 4: To you, right, exactly. Yes, So moving away from that 77 00:04:26,279 --> 00:04:30,240 Speaker 4: question what will the future bring? That question we all love, right, 78 00:04:30,279 --> 00:04:32,520 Speaker 4: But I want us to move away from that question 79 00:04:32,600 --> 00:04:35,640 Speaker 4: towards what future do I want to create? Because that 80 00:04:35,720 --> 00:04:39,919 Speaker 4: empowers us to take ownership of our destinies. And so 81 00:04:40,680 --> 00:04:43,559 Speaker 4: most of what's happening in the you know, so called 82 00:04:43,640 --> 00:04:46,120 Speaker 4: outer world, and you described a little bit about you know, 83 00:04:47,240 --> 00:04:51,280 Speaker 4: we see fake news and all of those we can't control. 84 00:04:51,640 --> 00:04:54,520 Speaker 4: But what we can control is our inner world. How 85 00:04:54,560 --> 00:04:56,720 Speaker 4: I like to describe it, how we respond to the 86 00:04:56,760 --> 00:04:59,560 Speaker 4: things that are happening to us and also what choices 87 00:04:59,640 --> 00:05:02,479 Speaker 4: we make in the moment, and this is really our 88 00:05:02,600 --> 00:05:05,040 Speaker 4: inner agency where the true power lies. 89 00:05:06,480 --> 00:05:08,039 Speaker 3: So having said that, you know, I'm listening to you 90 00:05:08,120 --> 00:05:10,839 Speaker 3: talk and I'm thinking, Okay, you understand the tech world 91 00:05:11,440 --> 00:05:14,760 Speaker 3: in a way like nobody else does. So there's open 92 00:05:14,800 --> 00:05:18,839 Speaker 3: source models and then there's closed ecosystems. Both can have value. 93 00:05:18,920 --> 00:05:20,520 Speaker 3: So where's the balance of all of us as we 94 00:05:20,560 --> 00:05:22,479 Speaker 3: try to figure out our future and kind of thinking 95 00:05:22,520 --> 00:05:23,120 Speaker 3: it about it? 96 00:05:23,160 --> 00:05:28,520 Speaker 4: Maybe that way, yes, So when it comes to the future, right, 97 00:05:28,880 --> 00:05:33,159 Speaker 4: I feel like it's more important to really focus on 98 00:05:33,640 --> 00:05:36,839 Speaker 4: again what I describe as a mind state, Right, So 99 00:05:37,000 --> 00:05:39,920 Speaker 4: that is your perspective if you have in any moment, 100 00:05:40,080 --> 00:05:43,440 Speaker 4: and how you experience the present. So it doesn't mean 101 00:05:43,560 --> 00:05:45,720 Speaker 4: like that, you know, we should focus on like what's 102 00:05:45,760 --> 00:05:49,240 Speaker 4: the next tech or what's the next application, or you know, 103 00:05:49,279 --> 00:05:52,120 Speaker 4: what are some of the predictions. Focus on what you 104 00:05:52,160 --> 00:05:55,279 Speaker 4: can control, and this is your relationship with technology where 105 00:05:55,279 --> 00:05:59,080 Speaker 4: you can make choices and trying to experiment with new 106 00:05:59,120 --> 00:06:03,880 Speaker 4: technology things out to really figure out like does what 107 00:06:03,960 --> 00:06:05,560 Speaker 4: works for you and what doesn't work for you? 108 00:06:06,800 --> 00:06:09,560 Speaker 2: I think about this a lot. The idea of sort 109 00:06:09,560 --> 00:06:14,120 Speaker 2: of the inevitable tech that comes to us from so 110 00:06:14,160 --> 00:06:16,400 Speaker 2: many of the companies that Carol and I talk about 111 00:06:16,800 --> 00:06:19,839 Speaker 2: on our program each and every day. And I'm wondering 112 00:06:20,560 --> 00:06:23,240 Speaker 2: if there's ever, in your view, going to be a 113 00:06:23,320 --> 00:06:27,480 Speaker 2: time when we reject a piece of consumer technology, or 114 00:06:27,800 --> 00:06:32,680 Speaker 2: we reject some sort of innovation because as people, we 115 00:06:32,760 --> 00:06:36,080 Speaker 2: don't want it to come to us. And I'm thinking 116 00:06:36,120 --> 00:06:39,880 Speaker 2: of something like the AI world that is coming regardless 117 00:06:39,880 --> 00:06:41,280 Speaker 2: of whether we want it to be here or not. 118 00:06:41,400 --> 00:06:45,040 Speaker 2: The fake robot calls that come during the political campaigns, 119 00:06:45,560 --> 00:06:49,520 Speaker 2: the stuff we see on social media that are deep fakes. 120 00:06:49,680 --> 00:06:50,640 Speaker 1: What about that stuff? 121 00:06:52,480 --> 00:06:57,720 Speaker 4: Absolutely great points? Again, what I argue for is that 122 00:06:57,880 --> 00:07:00,520 Speaker 4: we should not focus on the tech itself. We should 123 00:07:00,560 --> 00:07:03,080 Speaker 4: focus on what we can control, and that is our 124 00:07:03,200 --> 00:07:03,719 Speaker 4: mind state. 125 00:07:03,839 --> 00:07:04,000 Speaker 1: Right. 126 00:07:04,040 --> 00:07:07,760 Speaker 4: That means, like, what is our perspective on these things, 127 00:07:07,960 --> 00:07:11,120 Speaker 4: and how can we, for example, be open towards these 128 00:07:11,160 --> 00:07:14,480 Speaker 4: technologies to really figure out like what works and what 129 00:07:14,520 --> 00:07:18,320 Speaker 4: doesn't work for us, right, and trying to experiment to 130 00:07:18,480 --> 00:07:21,920 Speaker 4: really learn how these things work and then make a 131 00:07:21,960 --> 00:07:25,200 Speaker 4: decision afterwards. Right. I feel like most of our times, 132 00:07:25,360 --> 00:07:30,320 Speaker 4: we you know, follow our what I call a negativity bias. Right, 133 00:07:30,440 --> 00:07:32,680 Speaker 4: that is kind of like deeply ingrained in us where 134 00:07:32,680 --> 00:07:34,760 Speaker 4: we trying to figure out like what are the flaws 135 00:07:34,840 --> 00:07:37,400 Speaker 4: or what are the mistakes or the things that might 136 00:07:37,480 --> 00:07:41,040 Speaker 4: go wrong right, instead of like just being open in 137 00:07:41,040 --> 00:07:43,000 Speaker 4: the first place and say like, hey, what can this 138 00:07:43,120 --> 00:07:45,480 Speaker 4: technology do for me? And how can I leverage to 139 00:07:46,080 --> 00:07:48,480 Speaker 4: you know, something that I want to accomplish in my life. 140 00:07:48,800 --> 00:07:50,680 Speaker 4: Before I make a decision and say like, you know, 141 00:07:51,280 --> 00:07:53,960 Speaker 4: I don't want to use that personally or in my 142 00:07:54,120 --> 00:07:55,480 Speaker 4: in my professional. 143 00:07:55,000 --> 00:07:56,720 Speaker 3: Work, I have to say I feel like I'm in 144 00:07:56,720 --> 00:07:58,600 Speaker 3: a yoga class, which I really kind of love, because 145 00:07:58,600 --> 00:08:00,360 Speaker 3: that's the whole idea of kind of getting your mind, 146 00:08:01,080 --> 00:08:03,240 Speaker 3: you know, in the right place if you will, or 147 00:08:04,000 --> 00:08:06,480 Speaker 3: letting go right. That's kind of what can be tough 148 00:08:06,520 --> 00:08:08,600 Speaker 3: with meditation, right you constantly have stuff coming in and 149 00:08:08,640 --> 00:08:10,200 Speaker 3: you've got to be like put that on the shelf 150 00:08:10,240 --> 00:08:11,560 Speaker 3: for a while because I've just got to kind of 151 00:08:11,600 --> 00:08:15,520 Speaker 3: take a moment. Having said that, can you get in 152 00:08:15,640 --> 00:08:20,800 Speaker 3: the right mind state as an employee thinking about their 153 00:08:20,840 --> 00:08:24,680 Speaker 3: future if your management is not that way or vice versa, 154 00:08:25,040 --> 00:08:27,680 Speaker 3: as a manager or company, if you don't have your 155 00:08:27,680 --> 00:08:31,400 Speaker 3: employer's employees that way, can you not kind of achieve 156 00:08:31,440 --> 00:08:32,360 Speaker 3: the goals you need to. 157 00:08:35,240 --> 00:08:37,600 Speaker 4: Yeah, Carol, that's a great point, and thanks for sharing 158 00:08:37,640 --> 00:08:41,800 Speaker 4: your story on your yoga experience. Again, like, I think 159 00:08:41,840 --> 00:08:44,439 Speaker 4: what we've learned is that the best things we can 160 00:08:44,559 --> 00:08:48,400 Speaker 4: control is our own mind state. Right, instead of focusing 161 00:08:48,600 --> 00:08:52,360 Speaker 4: on someone else and the choices that you make, right, 162 00:08:52,520 --> 00:08:55,480 Speaker 4: focus on the choices that are you making in the moment. 163 00:08:56,160 --> 00:08:57,439 Speaker 1: And you can make these. 164 00:08:57,320 --> 00:09:00,520 Speaker 4: Choices driven by you know, what I call radical optimism 165 00:09:00,720 --> 00:09:05,440 Speaker 4: or unreserved openness or compulsive curiosity. Right, these could be 166 00:09:05,640 --> 00:09:08,640 Speaker 4: helpful in a way that you look at situations just 167 00:09:08,679 --> 00:09:11,240 Speaker 4: in a different way and then figure out, like you 168 00:09:11,280 --> 00:09:14,760 Speaker 4: can actually have much more control of what's going to 169 00:09:14,800 --> 00:09:18,200 Speaker 4: happen next instead of trying to change someone else like 170 00:09:18,240 --> 00:09:21,840 Speaker 4: your manager, or change someone else in your team, trying 171 00:09:21,880 --> 00:09:25,800 Speaker 4: to you know, focus on what you can control, because 172 00:09:25,840 --> 00:09:30,280 Speaker 4: that I think is going to determine your future. 173 00:09:31,320 --> 00:09:33,080 Speaker 2: We only have about thirty seconds left and then we're 174 00:09:33,080 --> 00:09:35,040 Speaker 2: going to do some news and we're going to come 175 00:09:35,080 --> 00:09:38,600 Speaker 2: back with you, doctor Fert, But leave us just with 176 00:09:39,120 --> 00:09:43,880 Speaker 2: thirty seconds on one thing that everybody should do between 177 00:09:44,440 --> 00:09:47,079 Speaker 2: now and let's say I don't know the next few 178 00:09:47,120 --> 00:09:48,960 Speaker 2: weeks to prepare themselves for the future. 179 00:09:49,120 --> 00:09:55,280 Speaker 4: Yeah, yes, So for me, what's really important is that 180 00:09:55,400 --> 00:10:00,400 Speaker 4: you're trying to imagine. Imagine is that human super power 181 00:10:00,600 --> 00:10:02,880 Speaker 4: that we all have, right, but we don't use it 182 00:10:03,000 --> 00:10:06,760 Speaker 4: enough right to really trying to figure out, like, not 183 00:10:06,840 --> 00:10:08,680 Speaker 4: just what I want to be in the future, but 184 00:10:08,800 --> 00:10:10,520 Speaker 4: how do I want to be in the future, and 185 00:10:10,600 --> 00:10:14,440 Speaker 4: ask yourself that question, because that might reveal that you know, 186 00:10:14,480 --> 00:10:16,880 Speaker 4: you want to have qualities in the future that are 187 00:10:16,920 --> 00:10:23,960 Speaker 4: related to compassion, kindness, openness, curiosity, optimism, and so forth. 188 00:10:24,400 --> 00:10:27,280 Speaker 4: So rather imagining like what I want to get in 189 00:10:27,360 --> 00:10:30,600 Speaker 4: like my next years, trying to imagine how do you 190 00:10:30,600 --> 00:10:30,960 Speaker 4: want to be? 191 00:10:31,160 --> 00:10:32,640 Speaker 3: I want to get back to our guest. We're talking 192 00:10:32,679 --> 00:10:35,520 Speaker 3: with doctor Frederick Ferd. He is founder of Google's Innovation 193 00:10:35,640 --> 00:10:38,959 Speaker 3: Lab and Google's first chief innovation evangelist. Is also the 194 00:10:39,000 --> 00:10:41,160 Speaker 3: author of the new book What's Next is Now How 195 00:10:41,200 --> 00:10:45,480 Speaker 3: to Live Future Ready. He's still with us from Santa Cruz, California. 196 00:10:45,679 --> 00:10:47,680 Speaker 3: Doctor fer One of the things I was curious about, 197 00:10:47,720 --> 00:10:50,160 Speaker 3: and it kind of plays off a story that we 198 00:10:50,200 --> 00:10:54,040 Speaker 3: have talked about here at Bloomberg that's talked about how 199 00:10:54,080 --> 00:10:58,560 Speaker 3: Google how they have combined their research labs, and this 200 00:10:58,679 --> 00:11:03,400 Speaker 3: was specifically combining the two labs their Google Brain and 201 00:11:03,440 --> 00:11:05,320 Speaker 3: deep Mine, and now they have an AI super unit 202 00:11:05,440 --> 00:11:07,440 Speaker 3: called Google deep Mine. And they get into a lot 203 00:11:07,480 --> 00:11:09,480 Speaker 3: of the reasons why and why it made sense, and 204 00:11:09,880 --> 00:11:11,240 Speaker 3: some of it had to do with, you know, the 205 00:11:11,280 --> 00:11:15,200 Speaker 3: AI competitive raise and you're seeing some upstarts and that 206 00:11:15,240 --> 00:11:18,800 Speaker 3: seem to be more nimble. So I am curious this 207 00:11:19,000 --> 00:11:23,920 Speaker 3: idea in a company that's as innovative as Google and 208 00:11:24,040 --> 00:11:26,600 Speaker 3: Alphabet and this idea of being in that kind of 209 00:11:26,640 --> 00:11:30,160 Speaker 3: right mind state. Is it more difficult as you become 210 00:11:30,200 --> 00:11:34,320 Speaker 3: a more established, older technology company to be nimble and 211 00:11:34,400 --> 00:11:37,360 Speaker 3: be as innovative. Is it a little bit tougher or 212 00:11:37,400 --> 00:11:43,000 Speaker 3: to rally the troops to be that way. 213 00:11:43,120 --> 00:11:46,160 Speaker 4: So I've spent about twelve and a half years at 214 00:11:46,200 --> 00:11:48,680 Speaker 4: Google really trying to figure out like what's the what's 215 00:11:48,679 --> 00:11:49,960 Speaker 4: the Google way to innovate? 216 00:11:50,080 --> 00:11:50,240 Speaker 1: Right? 217 00:11:50,559 --> 00:11:54,000 Speaker 4: And in my first eighteen months, I traveled to about 218 00:11:54,000 --> 00:11:57,360 Speaker 4: twenty seven offices and worked with you know, hundreds of 219 00:11:58,240 --> 00:12:01,319 Speaker 4: employees Googlers to reach figure out like what's the Google 220 00:12:01,360 --> 00:12:04,400 Speaker 4: way to innovate? And what I found is that every 221 00:12:04,480 --> 00:12:10,960 Speaker 4: time I, you know, saw some groundbreaking technology or idea, 222 00:12:11,120 --> 00:12:14,160 Speaker 4: that it's not about the resources people have it's not 223 00:12:14,240 --> 00:12:17,199 Speaker 4: about the environment they're in, it's not about the time 224 00:12:17,240 --> 00:12:20,720 Speaker 4: they're spending on these, it's their mind state, right, It's 225 00:12:20,800 --> 00:12:24,920 Speaker 4: how they are radically optimistic, how they're open curious, how 226 00:12:25,000 --> 00:12:28,040 Speaker 4: they experiment, and how they show empathy. These are, for me, 227 00:12:28,160 --> 00:12:31,120 Speaker 4: the five dimensions what I call of a future ready 228 00:12:31,200 --> 00:12:34,240 Speaker 4: mind state. So when these are at play, right, I 229 00:12:34,280 --> 00:12:39,920 Speaker 4: always saw that something radically innovative and different is going 230 00:12:40,000 --> 00:12:43,600 Speaker 4: to emerge. And so for me, the question is always like, 231 00:12:43,679 --> 00:12:49,760 Speaker 4: how can we all learn these dimensions of a future 232 00:12:49,760 --> 00:12:52,840 Speaker 4: ready mindset and practice them so that we all, you know, 233 00:12:52,880 --> 00:12:56,719 Speaker 4: are capable of shaping our future that we want to 234 00:12:56,760 --> 00:12:57,400 Speaker 4: see happening. 235 00:12:59,000 --> 00:13:02,000 Speaker 2: But I kind of want to go back to Carol's question. 236 00:13:02,679 --> 00:13:07,840 Speaker 2: Does that mindset still come to people who work at 237 00:13:07,880 --> 00:13:13,320 Speaker 2: a company that is now giving dividends to shareholders or 238 00:13:14,040 --> 00:13:18,040 Speaker 2: that has grown so big that you're not necessarily interacting 239 00:13:18,120 --> 00:13:21,160 Speaker 2: with those teams all over the world. Maybe it's more 240 00:13:21,240 --> 00:13:23,360 Speaker 2: siloed in this day and age. 241 00:13:25,800 --> 00:13:29,000 Speaker 4: So what's interesting is that we see the same things 242 00:13:29,000 --> 00:13:32,920 Speaker 4: that happen in organizations actually happen to people, right, and 243 00:13:33,000 --> 00:13:37,920 Speaker 4: human beings. Let's put a focus on curiosity, right, Curiosity 244 00:13:38,000 --> 00:13:40,959 Speaker 4: drives us to explore and really understand our world better, 245 00:13:41,040 --> 00:13:44,840 Speaker 4: which is really crucial in our rapidly changing environment. So 246 00:13:44,880 --> 00:13:49,559 Speaker 4: we're all born with curiosity, and we have that natural 247 00:13:49,640 --> 00:13:53,640 Speaker 4: curiosity that actually goes dormant over time right as we 248 00:13:53,679 --> 00:13:56,120 Speaker 4: grow up. So the good news is that we can 249 00:13:56,200 --> 00:13:59,360 Speaker 4: reawaken it by continuously questioning and seeking to learn more 250 00:13:59,400 --> 00:14:02,679 Speaker 4: about everything around us. Right, So that's true for human beings. 251 00:14:02,800 --> 00:14:06,080 Speaker 4: We probably see the same in organizations right where we 252 00:14:06,160 --> 00:14:09,760 Speaker 4: see that startups actually are the most curious, right. They 253 00:14:09,760 --> 00:14:13,920 Speaker 4: don't have, you know, an established way of working, They 254 00:14:14,040 --> 00:14:17,840 Speaker 4: usually don't have big funding. They have an idea, and 255 00:14:17,880 --> 00:14:23,040 Speaker 4: they're curious about developing or growing this idea. And so 256 00:14:23,120 --> 00:14:27,480 Speaker 4: for me, it's really about helping people to rediscover something 257 00:14:27,520 --> 00:14:31,320 Speaker 4: that is deeply human, which is their optimism, their openness, 258 00:14:31,720 --> 00:14:35,520 Speaker 4: and also their curiosity and their sense to experiment and 259 00:14:35,560 --> 00:14:38,320 Speaker 4: try things out right. And if we humans can do 260 00:14:38,360 --> 00:14:42,520 Speaker 4: that and reawaken that, I have full confidence that organizations 261 00:14:42,520 --> 00:14:43,200 Speaker 4: can do that too. 262 00:14:43,360 --> 00:14:45,080 Speaker 3: Do you think it's broken down when you look at 263 00:14:45,120 --> 00:14:46,800 Speaker 3: the political environment globally? 264 00:14:49,640 --> 00:14:52,400 Speaker 4: Again, Like what I feel like is for me, probably 265 00:14:52,440 --> 00:14:55,640 Speaker 4: one of the most important dimensions of a future ready 266 00:14:55,720 --> 00:15:00,080 Speaker 4: mindset is what I call expensive empathy. Right. What I 267 00:15:00,120 --> 00:15:03,120 Speaker 4: mean by that is understanding and connecting with the experience 268 00:15:03,120 --> 00:15:07,160 Speaker 4: of others. Right. It really enriches our interactions and decisions 269 00:15:07,400 --> 00:15:11,560 Speaker 4: and ensuring that they are considerate and inclusive, which is 270 00:15:11,640 --> 00:15:15,240 Speaker 4: really essential in a diverse global environment. So I feel 271 00:15:15,320 --> 00:15:18,160 Speaker 4: if we all show more empathy, right, and that means 272 00:15:18,680 --> 00:15:21,800 Speaker 4: you as a parent, as a as a journalist or 273 00:15:21,800 --> 00:15:25,880 Speaker 4: a reporter, or as a teacher or a politician, right, 274 00:15:26,320 --> 00:15:30,000 Speaker 4: you have more empathy for each other. I think we 275 00:15:30,080 --> 00:15:32,280 Speaker 4: all see that the better future will actually happen. 276 00:15:32,560 --> 00:15:37,800 Speaker 2: It's it's I love the optimism, but but that's struck down. Yeah, yeah, 277 00:15:37,840 --> 00:15:39,960 Speaker 2: I mean we don't live in a world. I mean, 278 00:15:40,040 --> 00:15:42,480 Speaker 2: look at the look at just politics right now, there's 279 00:15:43,040 --> 00:15:45,240 Speaker 2: a real lack of empathy. I would say in Washington, 280 00:15:45,360 --> 00:15:49,920 Speaker 2: d C. Among colleagues, members of the House, who continually 281 00:15:49,920 --> 00:15:53,000 Speaker 2: scream at each other. There's a lack of decorum that 282 00:15:53,120 --> 00:15:57,000 Speaker 2: was present just a generation ago, Doctor Fert, How can 283 00:15:57,040 --> 00:15:59,760 Speaker 2: you say that we're in a place where you're optimistic 284 00:15:59,760 --> 00:16:02,200 Speaker 2: about empathy exactly? 285 00:16:02,200 --> 00:16:04,680 Speaker 4: So I'm optimistic that we all can rediscover it and 286 00:16:04,720 --> 00:16:06,360 Speaker 4: we can actually practice and train it. 287 00:16:06,520 --> 00:16:06,720 Speaker 1: Right. 288 00:16:06,920 --> 00:16:09,680 Speaker 4: So there is a way you can learn to be 289 00:16:09,760 --> 00:16:13,280 Speaker 4: more optimistic. There's also a way that you can reawaken 290 00:16:13,320 --> 00:16:17,400 Speaker 4: your curiosity, and there's a way that you can practice empathy, right, 291 00:16:17,560 --> 00:16:21,000 Speaker 4: And it's something you're absolutely right, tim that we need 292 00:16:21,040 --> 00:16:24,840 Speaker 4: to all develop and grow more. And in my book, 293 00:16:24,880 --> 00:16:27,920 Speaker 4: I actually give practices that we all can try out 294 00:16:28,480 --> 00:16:32,600 Speaker 4: to become more empathetic, to become more optimistic, to become 295 00:16:32,640 --> 00:16:35,800 Speaker 4: more open and curious. And so if we all use 296 00:16:35,880 --> 00:16:39,040 Speaker 4: those practices and at the same time learn from these 297 00:16:39,080 --> 00:16:41,600 Speaker 4: stories that I share, I think we have a good 298 00:16:41,720 --> 00:16:44,440 Speaker 4: chance that you know, we see a better future happening. 299 00:16:44,680 --> 00:16:46,400 Speaker 3: There's a great I got to say at page one 300 00:16:46,480 --> 00:16:48,800 Speaker 3: seventy nine, change your mind state note, And it's an 301 00:16:48,800 --> 00:16:51,280 Speaker 3: experiment can do kind of you say, writing a public 302 00:16:51,320 --> 00:16:54,520 Speaker 3: transportation and you know, sometimes I look around and just 303 00:16:54,640 --> 00:16:58,920 Speaker 3: everybody's buried in their phones and nobody has any awareness 304 00:16:58,960 --> 00:17:01,800 Speaker 3: of anybody technology that's doing that, And that's technology. 305 00:17:01,800 --> 00:17:04,119 Speaker 2: To always wonder what Steve Jobs would think if he, 306 00:17:04,359 --> 00:17:06,919 Speaker 2: you know, we're around today and just walked into a 307 00:17:06,920 --> 00:17:09,080 Speaker 2: subway car and saw everybody just looking at their phones. 308 00:17:09,119 --> 00:17:10,760 Speaker 3: Well, doctor Fird, is that part of the problem. We're 309 00:17:10,800 --> 00:17:13,480 Speaker 3: so buried, we're still looking inward we're looking we're buried 310 00:17:13,480 --> 00:17:16,600 Speaker 3: in our phones. I mean, we don't kind of think 311 00:17:16,640 --> 00:17:18,879 Speaker 3: about the people around us and what's going on. And 312 00:17:18,920 --> 00:17:21,200 Speaker 3: forgive us, we only have about thirty forty seconds here. 313 00:17:22,160 --> 00:17:24,280 Speaker 4: Yes, so I think when we look on the phone, right, 314 00:17:24,320 --> 00:17:28,000 Speaker 4: we're not looking inwards, right, That's the first thing. So Carol, 315 00:17:28,040 --> 00:17:30,520 Speaker 4: I would argue in the same way with you, right, 316 00:17:30,640 --> 00:17:33,960 Speaker 4: we should probably look more inwards. Right, and doing meditation 317 00:17:34,119 --> 00:17:37,919 Speaker 4: practices and reflecting practices I think help us to really 318 00:17:38,520 --> 00:17:42,640 Speaker 4: trying to discover what's going on in our inner world. Right, 319 00:17:42,800 --> 00:17:45,840 Speaker 4: what is our mind state currently? Are we actually more closed, 320 00:17:45,920 --> 00:17:47,560 Speaker 4: more afraid. 321 00:17:47,119 --> 00:17:47,840 Speaker 1: More uncertain? 322 00:17:48,359 --> 00:17:51,200 Speaker 4: And if we are, right, how can I shift? How 323 00:17:51,200 --> 00:17:53,800 Speaker 4: can I change this mind state to be more open, 324 00:17:53,840 --> 00:17:56,480 Speaker 4: to be more optimistic and more curious again. And I 325 00:17:56,520 --> 00:18:00,000 Speaker 4: think if we are able to do that and practice 326 00:18:00,080 --> 00:18:02,520 Speaker 4: that even more again, like I think, we're going to 327 00:18:02,560 --> 00:18:06,240 Speaker 4: see a great future happening really interesting. 328 00:18:06,440 --> 00:18:08,480 Speaker 3: I'm so glad we could get some time with you. 329 00:18:08,520 --> 00:18:11,200 Speaker 3: Thank you so much, congratulations on the book. Good luck 330 00:18:11,200 --> 00:18:14,240 Speaker 3: with it. Doctor Frederick fert He's founder of Google's Innovation Lab, 331 00:18:14,280 --> 00:18:18,000 Speaker 3: Google's first chief innovation evangelist, and his new book that's out, 332 00:18:18,200 --> 00:18:20,680 Speaker 3: What's next is now how to live future ready. We 333 00:18:20,800 --> 00:18:24,800 Speaker 3: forgot to say he actually sends a packet of seeds. 334 00:18:25,000 --> 00:18:27,960 Speaker 2: You can hear the seeds right now in. 335 00:18:27,920 --> 00:18:28,400 Speaker 1: A little bag. 336 00:18:28,640 --> 00:18:29,600 Speaker 3: Seeds for your future now. 337 00:18:29,680 --> 00:18:31,040 Speaker 2: Yeah, very cool, kind of loving that. 338 00:18:31,280 --> 00:18:32,040 Speaker 3: This is Bloomberg. 339 00:18:35,720 --> 00:18:40,119 Speaker 1: This is Bloomberg Business Week inside from the reporters and 340 00:18:40,280 --> 00:18:43,840 Speaker 1: editors who bring you America's most trusted business magazine plus 341 00:18:43,920 --> 00:18:47,840 Speaker 1: global business, finance and tech news as it happens. Bloomberg 342 00:18:47,920 --> 00:18:52,960 Speaker 1: Business Week with Carol Messer and Tim Stenebeck on Bloomberg Radio. 343 00:18:53,840 --> 00:18:56,560 Speaker 2: It is Bloomberg Business Meet Carol. You'll remember on Friday 344 00:18:56,920 --> 00:18:59,520 Speaker 2: we talked about this story about how everyone really is 345 00:18:59,680 --> 00:19:02,280 Speaker 2: sick a lot more often in our post COVID world. 346 00:19:02,480 --> 00:19:04,439 Speaker 3: Yeah, it kind of has been staying with me in 347 00:19:04,440 --> 00:19:06,359 Speaker 3: a big way. I keep thinking about that, talking and 348 00:19:06,400 --> 00:19:08,880 Speaker 3: having a lot of conversations in around the newsroom about it. Yeah. 349 00:19:08,880 --> 00:19:11,440 Speaker 2: Here's the data that we were citing here. At least 350 00:19:11,440 --> 00:19:14,679 Speaker 2: thirteen communicable diseases, from the common cold to measles and 351 00:19:14,680 --> 00:19:18,440 Speaker 2: tuberculosis are surging past their pre pandemic levels in many regions, 352 00:19:18,560 --> 00:19:21,600 Speaker 2: and often by significant margins. That's according to analysis by 353 00:19:21,600 --> 00:19:25,280 Speaker 2: Bloomberg News and London based disease forecasting firm Affinity. 354 00:19:25,680 --> 00:19:29,160 Speaker 3: So we are very curious what doctor Iman Abuzaid has 355 00:19:29,160 --> 00:19:30,760 Speaker 3: to say about this. She's co founder and CEO at 356 00:19:30,800 --> 00:19:33,800 Speaker 3: Incredible Health, there are marketplace that connects nurses to hospitals. 357 00:19:33,840 --> 00:19:35,920 Speaker 3: She joins us from Austin, Texas. We've leaned on her 358 00:19:36,520 --> 00:19:39,879 Speaker 3: coming out of the pandemic, during the pandemic, during the 359 00:19:39,880 --> 00:19:42,560 Speaker 3: pandemic to really get a good gut check on what's 360 00:19:42,560 --> 00:19:45,640 Speaker 3: going on among the healthcare community and in particular what's 361 00:19:45,640 --> 00:19:49,119 Speaker 3: going on with nurses. Doctor Abouzaid, Great to have you 362 00:19:49,160 --> 00:19:51,040 Speaker 3: back with us. We do want to kind of start 363 00:19:51,040 --> 00:19:54,160 Speaker 3: there because you do. You're so good about telling us 364 00:19:54,240 --> 00:19:57,320 Speaker 3: kind of what is top of mind for the nursing community. 365 00:19:57,359 --> 00:20:00,400 Speaker 3: And I am curious about if they're seeing people more, 366 00:20:00,640 --> 00:20:04,159 Speaker 3: you know, sick with kind of strange strange ailments, if 367 00:20:04,200 --> 00:20:09,600 Speaker 3: you will, different communicable diseases. What are they seeing specifically. 368 00:20:10,040 --> 00:20:12,359 Speaker 5: Yeah, thank you so much for having me. So, the 369 00:20:12,640 --> 00:20:16,600 Speaker 5: US healthcare system is seeing increases in patient demand, right, so, 370 00:20:17,000 --> 00:20:20,880 Speaker 5: the demand from patients and sicker patients continues to increase, 371 00:20:21,280 --> 00:20:23,680 Speaker 5: and we're struggling to make sure that we have enough 372 00:20:23,680 --> 00:20:28,120 Speaker 5: healthcare workers to support to support patients. In our most 373 00:20:28,160 --> 00:20:32,000 Speaker 5: recent so our platform our two sided marketplace as hospitals 374 00:20:32,000 --> 00:20:34,240 Speaker 5: and nurses. We work with over one million US nurses 375 00:20:34,240 --> 00:20:37,640 Speaker 5: in the country and over oney five hundred hospitals. Our 376 00:20:37,680 --> 00:20:41,199 Speaker 5: most recent study was actually of healthcare executive or hospital leaders. 377 00:20:42,400 --> 00:20:46,000 Speaker 5: They are ninety percent of them are stating that they 378 00:20:46,040 --> 00:20:49,200 Speaker 5: project the nursing shortage to worsen in the future years 379 00:20:49,640 --> 00:20:52,600 Speaker 5: and only thirty two percent are satisfied with the ratio 380 00:20:52,880 --> 00:20:56,960 Speaker 5: of nurses to patients on their units today. 381 00:20:58,119 --> 00:21:01,159 Speaker 2: We care about how this looks over time, and we 382 00:21:01,200 --> 00:21:03,679 Speaker 2: care about sort of the trend and whether or not 383 00:21:03,720 --> 00:21:06,480 Speaker 2: things are getting better things are getting worse. What do 384 00:21:06,960 --> 00:21:07,720 Speaker 2: the data tell you? 385 00:21:08,960 --> 00:21:11,679 Speaker 5: So the thing the areas that are getting better is 386 00:21:11,680 --> 00:21:15,080 Speaker 5: that we're there's a larger portion of nurses that are 387 00:21:15,119 --> 00:21:18,800 Speaker 5: staying in the profession. So during COVID, we were seeing 388 00:21:18,840 --> 00:21:21,760 Speaker 5: like an exodus not just out of the their current jobs, 389 00:21:21,760 --> 00:21:24,360 Speaker 5: but out of that opting out of being nurses altogether. 390 00:21:24,680 --> 00:21:27,399 Speaker 5: So we've definitely seen an improvement there, and we've also 391 00:21:27,400 --> 00:21:32,159 Speaker 5: seen an improvement in mental health for nurses. The areas 392 00:21:32,160 --> 00:21:36,040 Speaker 5: where we're not seeing much improvement is staffing and ensuring 393 00:21:36,080 --> 00:21:41,199 Speaker 5: that there's enough nurses on the floors and so, and 394 00:21:41,240 --> 00:21:43,600 Speaker 5: that's reflected by the fact that only thirty percent of 395 00:21:43,640 --> 00:21:46,440 Speaker 5: hospital leaders are satisfied with the number of nurses that 396 00:21:46,480 --> 00:21:50,119 Speaker 5: are on the floors given the volume of patients that 397 00:21:50,160 --> 00:21:51,320 Speaker 5: they each need to take care of. 398 00:21:51,520 --> 00:21:53,600 Speaker 3: You know, one of the things I want to ask 399 00:21:53,640 --> 00:21:55,280 Speaker 3: you is, I feel like we've talked to you, you know, 400 00:21:55,520 --> 00:21:57,480 Speaker 3: for a long time, and in terms of the trends, 401 00:21:57,560 --> 00:22:01,840 Speaker 3: it feels like it continue continue to be a very 402 00:22:01,840 --> 00:22:05,040 Speaker 3: stressful one for nurses and that there's just not enough. 403 00:22:05,119 --> 00:22:07,120 Speaker 3: Is there anything moving in the positive direction? 404 00:22:08,359 --> 00:22:11,159 Speaker 5: Yeah? So, you know, we still seeing burnout as the 405 00:22:11,240 --> 00:22:13,439 Speaker 5: number one reason for why nurses leave their job, and 406 00:22:13,520 --> 00:22:16,080 Speaker 5: we're still seeing high turnover of twenty percent. I think 407 00:22:16,119 --> 00:22:19,720 Speaker 5: what's changed in a positive and more optic optimistic direction 408 00:22:20,240 --> 00:22:22,560 Speaker 5: is that we're seeing more and more hospital leaders listen 409 00:22:22,720 --> 00:22:26,920 Speaker 5: and address the challenges of this workforce. Specifically, we're seeing 410 00:22:26,960 --> 00:22:32,119 Speaker 5: continued increases in wages and salaries for nurses across the board. 411 00:22:32,560 --> 00:22:35,560 Speaker 5: We're also seeing more hospital leaders pay attention to and 412 00:22:35,640 --> 00:22:39,520 Speaker 5: implement more flexible scheduling so nurses have more flexibility and 413 00:22:39,800 --> 00:22:43,000 Speaker 5: in their work schedules. And then finally, we're also seeing 414 00:22:43,200 --> 00:22:47,280 Speaker 5: more investment in career advancement and career training for nurses 415 00:22:47,320 --> 00:22:47,640 Speaker 5: as well. 416 00:22:48,040 --> 00:22:51,359 Speaker 2: How is the pipeline looking for nurses coming from nursing school. 417 00:22:51,359 --> 00:22:53,119 Speaker 2: It's something that we've talked to you a lot about 418 00:22:53,400 --> 00:22:56,760 Speaker 2: the lack of availability of training for these nurses to 419 00:22:56,800 --> 00:22:59,560 Speaker 2: fill these positions that are open. How's that looking. 420 00:23:00,520 --> 00:23:02,919 Speaker 5: So there have been increases in the number of nurses 421 00:23:02,920 --> 00:23:06,280 Speaker 5: graduating from nursing school, which is which is great, but 422 00:23:06,480 --> 00:23:09,560 Speaker 5: it's still not the numbers that are increasing. There are 423 00:23:09,560 --> 00:23:12,440 Speaker 5: still not keeping up with the demand that we need. 424 00:23:12,840 --> 00:23:15,960 Speaker 5: And so that's the reason why ninety percent of healthcare 425 00:23:16,040 --> 00:23:19,080 Speaker 5: leaders believe the nursing shortages is going to continue and 426 00:23:19,520 --> 00:23:23,280 Speaker 5: into the future as well. The other sort of the 427 00:23:23,320 --> 00:23:26,359 Speaker 5: big change that we've seen is just an increase in 428 00:23:26,880 --> 00:23:30,080 Speaker 5: verbal and physical assaults that nurses are tackling are handling. 429 00:23:30,359 --> 00:23:32,679 Speaker 5: So sixty percent of health system leaders have seen an 430 00:23:32,760 --> 00:23:37,040 Speaker 5: increase in assaults, and so there's definitely a need to 431 00:23:37,200 --> 00:23:41,160 Speaker 5: improve workplace, you know, to address workplace violence too. 432 00:23:41,280 --> 00:23:44,600 Speaker 3: One of the healthcare executives, what's their views on immigration 433 00:23:44,800 --> 00:23:47,600 Speaker 3: in terms of feeding the nursing community and the jobs 434 00:23:47,600 --> 00:23:49,400 Speaker 3: that are needed, Because I think any of us who've 435 00:23:49,400 --> 00:23:52,639 Speaker 3: been in hospitals, we see how important the immigrant community 436 00:23:52,760 --> 00:23:55,200 Speaker 3: has been ultimately in terms of providing nursing. 437 00:23:56,240 --> 00:23:59,199 Speaker 5: Absolutely, the immigrant community has been critical to stabilizing the 438 00:23:59,200 --> 00:24:02,040 Speaker 5: healthcare workforce in the US. And I think on the 439 00:24:02,080 --> 00:24:05,000 Speaker 5: whole health system leaders would love to hire from abroad, 440 00:24:05,119 --> 00:24:09,560 Speaker 5: but I don't think our immigration policies today make that easy. 441 00:24:10,200 --> 00:24:12,280 Speaker 5: And so a lot of the health system leaders that 442 00:24:12,320 --> 00:24:15,680 Speaker 5: have tried international nursing and have tried to hire from 443 00:24:15,680 --> 00:24:18,720 Speaker 5: abroad can't do it as easily as they were able to, 444 00:24:18,880 --> 00:24:19,760 Speaker 5: you know, a decade ago. 445 00:24:19,920 --> 00:24:22,960 Speaker 3: How willing are they to take it on politically, as 446 00:24:23,040 --> 00:24:25,840 Speaker 3: you know, you take a stand on different political issues 447 00:24:25,840 --> 00:24:27,439 Speaker 3: and it can come back with you, you know, come 448 00:24:27,480 --> 00:24:29,359 Speaker 3: back to you in a big way, in a negative way. 449 00:24:30,560 --> 00:24:33,040 Speaker 5: Absolutely ready and willing to take it on politically. I'm 450 00:24:33,080 --> 00:24:35,080 Speaker 5: also in the tech industry, and so I know that 451 00:24:35,280 --> 00:24:39,480 Speaker 5: my counterpart CEOs are taking this are taking the immigration 452 00:24:39,520 --> 00:24:43,200 Speaker 5: issue very seriously in Congress. But at the end of 453 00:24:43,200 --> 00:24:45,760 Speaker 5: the day, the appetite of both parties is not where 454 00:24:45,760 --> 00:24:47,240 Speaker 5: it needs to be when it comes to this topic, 455 00:24:47,320 --> 00:24:50,800 Speaker 5: whether it's tech or healthcare. We need more immigrants and 456 00:24:51,119 --> 00:24:54,120 Speaker 5: there's not enough Americans to provide the workers we need 457 00:24:54,119 --> 00:24:55,040 Speaker 5: in both of those industries. 458 00:24:55,080 --> 00:24:57,040 Speaker 2: Yeah, we talk about this a lot, and not with 459 00:24:57,119 --> 00:25:00,000 Speaker 2: relation to nursing, but with relationship economic growth in our country, 460 00:25:00,119 --> 00:25:04,120 Speaker 2: Carol the idea that, Yeah, in terms of birth rate 461 00:25:04,160 --> 00:25:06,439 Speaker 2: here in the US, we're not having enough kids to 462 00:25:06,480 --> 00:25:09,479 Speaker 2: actually replace all the people who are dying. So we 463 00:25:09,520 --> 00:25:11,959 Speaker 2: need immigrants to fill that gap and come and do 464 00:25:12,000 --> 00:25:14,679 Speaker 2: those jobs that those people who are retiring and dying 465 00:25:14,720 --> 00:25:15,520 Speaker 2: are no longer doing. 466 00:25:15,640 --> 00:25:18,600 Speaker 3: Yeah, it's such a massive issue. And I don't know, 467 00:25:19,160 --> 00:25:23,040 Speaker 3: doctor abouzaid, how do you think about kind of what's 468 00:25:23,080 --> 00:25:26,040 Speaker 3: the conversation you, me and Tim might be having in 469 00:25:26,280 --> 00:25:30,600 Speaker 3: five years. Is it going to be markedly different? Is 470 00:25:30,640 --> 00:25:32,680 Speaker 3: it going to be more stressed? How do you think 471 00:25:32,680 --> 00:25:33,200 Speaker 3: about that? 472 00:25:34,240 --> 00:25:38,480 Speaker 5: That's a great question. So we're we're there's many leaders 473 00:25:38,480 --> 00:25:41,000 Speaker 5: in many companies and health systems and so on working 474 00:25:41,080 --> 00:25:44,680 Speaker 5: on tackling these challenges. One sort of bright spot area 475 00:25:44,920 --> 00:25:49,440 Speaker 5: is AI, and so over half of health system leaders 476 00:25:49,440 --> 00:25:53,080 Speaker 5: in our study say that they are using artificial intelligence 477 00:25:53,080 --> 00:25:57,439 Speaker 5: for nursing operations. It's primarily being used and implemented in 478 00:25:57,480 --> 00:26:00,840 Speaker 5: scheduling and more administrative tasks. It's not yet being used 479 00:26:00,840 --> 00:26:05,440 Speaker 5: in recommendations for patient care, but health system leaders are 480 00:26:05,800 --> 00:26:08,840 Speaker 5: sort of leaning into this new technology to help relieve 481 00:26:08,920 --> 00:26:12,520 Speaker 5: their workforces as well and to see if there's certain 482 00:26:12,560 --> 00:26:16,040 Speaker 5: tasks that can be automated. Given the overall challenge that 483 00:26:16,080 --> 00:26:16,800 Speaker 5: we've been discussing. 484 00:26:16,840 --> 00:26:19,080 Speaker 3: You know, I think everybody's probably seen the videos that 485 00:26:19,119 --> 00:26:22,879 Speaker 3: are out there about kind of human humanoid robots are 486 00:26:22,880 --> 00:26:25,639 Speaker 3: being made in China specifically to help with elderly and 487 00:26:25,680 --> 00:26:28,800 Speaker 3: maybe providing healthcare. Is that something that you think, Okay, 488 00:26:28,840 --> 00:26:30,280 Speaker 3: it's just a matter of time that we'll see that, 489 00:26:30,320 --> 00:26:33,000 Speaker 3: certainly throughout American health care institutions. 490 00:26:34,280 --> 00:26:36,560 Speaker 5: I think given the pressure that health system leaders are 491 00:26:36,640 --> 00:26:39,040 Speaker 5: under to you know, manage their P and L to 492 00:26:39,440 --> 00:26:42,200 Speaker 5: drive a profitable business and to deliver on patient care, 493 00:26:42,560 --> 00:26:44,840 Speaker 5: I don't think they have much of a choice. They 494 00:26:44,880 --> 00:26:47,159 Speaker 5: have to lean into newer technologies including AI. 495 00:26:47,440 --> 00:26:51,119 Speaker 3: Unbelievable, Yeah, but yeah, I get it. Doctor jimont Abuse, 496 00:26:51,320 --> 00:26:54,200 Speaker 3: thank you so much. Co founder CEO had incredible health 497 00:26:54,240 --> 00:26:56,879 Speaker 3: joining us there in Austin, Texas. Great to check in 498 00:26:56,920 --> 00:26:58,240 Speaker 3: with her once again.