1 00:00:00,840 --> 00:00:04,360 Speaker 1: You're listening to the Bloomberg Sound On podcast. Catch us 2 00:00:04,400 --> 00:00:07,560 Speaker 1: live weekdays at one Eastern on Bloomberg dot com, the 3 00:00:07,640 --> 00:00:10,760 Speaker 1: iHeartRadio app, and the Bloomberg Business App, or listen on 4 00:00:10,800 --> 00:00:16,040 Speaker 1: demand wherever you get your podcasts. Speaker McCarthy taking a 5 00:00:16,120 --> 00:00:19,319 Speaker 1: victory lap after the debt ceiling and spending bill pass 6 00:00:19,440 --> 00:00:23,040 Speaker 1: the House, of course, a moment to breathe here in 7 00:00:23,120 --> 00:00:25,520 Speaker 1: what's been a major leadership test for the Speaker. And 8 00:00:25,640 --> 00:00:28,040 Speaker 1: that's where we begin a special conversation I always look 9 00:00:28,080 --> 00:00:32,080 Speaker 1: forward to with Bloomberg's David Weston and Carly Fiorina, founder 10 00:00:32,840 --> 00:00:36,840 Speaker 1: and share of Carly Fiorina Enterprises and unlocking potential former 11 00:00:36,880 --> 00:00:40,519 Speaker 1: Hewlett Packard CEO, of course, former Republican presidential candidate. We 12 00:00:40,560 --> 00:00:43,600 Speaker 1: come together every couple of weeks here on Bloomberg sound 13 00:00:43,640 --> 00:00:47,239 Speaker 1: On to share ideas, remembering David and Carly's great conversations 14 00:00:47,840 --> 00:00:50,400 Speaker 1: over the years here on Bloomberg Radio. So welcome to 15 00:00:50,440 --> 00:00:53,120 Speaker 1: both of you, Carly and David, and thanks for being here. 16 00:00:53,159 --> 00:00:55,080 Speaker 1: We have a couple of things to discuss today. Carly, 17 00:00:55,120 --> 00:00:56,800 Speaker 1: I'm going to start with you on this day after 18 00:00:56,840 --> 00:01:01,680 Speaker 1: the vote. Did this successful vote strengthened Kevin McCarthy's hand 19 00:01:01,720 --> 00:01:03,160 Speaker 1: within his own caucus. 20 00:01:04,560 --> 00:01:06,720 Speaker 2: Well, good afternoon, Joe. Great to be with you and 21 00:01:06,840 --> 00:01:09,680 Speaker 2: David again. And yes, I think the answer is clearly 22 00:01:09,800 --> 00:01:13,840 Speaker 2: its strengthened him. You know, this was really about Kevin 23 00:01:13,920 --> 00:01:19,880 Speaker 2: McCarthy's ability to negotiate with his own party. He said 24 00:01:19,920 --> 00:01:22,959 Speaker 2: that this bill gave him an opportunity to negotiate with 25 00:01:23,040 --> 00:01:26,640 Speaker 2: Joe Biden. We will see, but I think the fact 26 00:01:26,680 --> 00:01:29,360 Speaker 2: that he could cobble this together and hold it together 27 00:01:30,959 --> 00:01:34,520 Speaker 2: does strengthen his position. Now, of course, as we all 28 00:01:34,560 --> 00:01:37,319 Speaker 2: know that what was passed is dead on arrival, so 29 00:01:38,520 --> 00:01:42,240 Speaker 2: now the real negotiation will have to begin, but he 30 00:01:42,400 --> 00:01:44,600 Speaker 2: clearly is better off than if it had failed. 31 00:01:46,880 --> 00:01:49,520 Speaker 3: Carly, I'm curious about your word of a position. How 32 00:01:49,600 --> 00:01:51,200 Speaker 3: much of this is positioning and how much of this 33 00:01:51,280 --> 00:01:52,920 Speaker 3: is substance. I mean, sooner or later we got to 34 00:01:52,920 --> 00:01:55,280 Speaker 3: pay our bills here, and there's a lot of positioning 35 00:01:55,320 --> 00:01:58,920 Speaker 3: going on. I wonder, as a corporate leader, did you 36 00:01:58,960 --> 00:02:01,240 Speaker 3: get nervous when you were for the principle of the thing. 37 00:02:03,160 --> 00:02:07,080 Speaker 2: Well, of course, yes, so much of this is posturing. 38 00:02:07,320 --> 00:02:11,160 Speaker 2: And to your point, the debt ceiling is always about 39 00:02:11,280 --> 00:02:14,720 Speaker 2: money that's already been spent, not money that's going to 40 00:02:14,760 --> 00:02:17,600 Speaker 2: be spent, and so we go through this every time. 41 00:02:18,760 --> 00:02:21,560 Speaker 2: I find it, of course, interesting that Republicans managed to 42 00:02:21,639 --> 00:02:25,360 Speaker 2: raise the debt ceiling without any negotiations or conditions during 43 00:02:25,360 --> 00:02:28,839 Speaker 2: the Trump era. So this is all about politics, and 44 00:02:30,280 --> 00:02:35,880 Speaker 2: it's frustrating that this happens with something that's so important. However, 45 00:02:35,919 --> 00:02:38,040 Speaker 2: there is one thing that I think we should remember 46 00:02:38,040 --> 00:02:43,399 Speaker 2: from business, and that is that a successful negotiation requires 47 00:02:43,520 --> 00:02:47,720 Speaker 2: a win win, never a win lose, always a win win. 48 00:02:48,560 --> 00:02:52,639 Speaker 2: So now both Kevin McCarthy and Joe Biden, I think, 49 00:02:52,720 --> 00:02:55,040 Speaker 2: are going to have to sit down and think about 50 00:02:55,680 --> 00:03:00,480 Speaker 2: what does an acceptable win for the other side. Clearly, 51 00:03:00,560 --> 00:03:02,480 Speaker 2: no one wants to have to revisit this in the 52 00:03:02,480 --> 00:03:06,400 Speaker 2: middle of an election year. Clearly Biden will never accept 53 00:03:06,520 --> 00:03:09,919 Speaker 2: a roll back of a legislative agenda that's already passed. 54 00:03:10,840 --> 00:03:14,840 Speaker 2: Maybe they can come to agreement about how to address 55 00:03:14,880 --> 00:03:18,800 Speaker 2: spending that hasn't yet happened. I don't know. But while 56 00:03:18,800 --> 00:03:22,480 Speaker 2: we so often think about politics as win lose, negotiations 57 00:03:22,480 --> 00:03:25,880 Speaker 2: are always win win. So I hope Kevin McCarthy and 58 00:03:26,000 --> 00:03:29,440 Speaker 2: Joe Biden's teams are thinking about what's a win for 59 00:03:29,520 --> 00:03:32,360 Speaker 2: the other side as the debt ceiling approaches. 60 00:03:32,560 --> 00:03:36,400 Speaker 1: Yeah, Carly, to what extent does corporate America play a 61 00:03:36,520 --> 00:03:38,880 Speaker 1: role in lighting a fire here? You know, it's not 62 00:03:39,040 --> 00:03:41,480 Speaker 1: lost on me that Kevin McCarthy went to the New 63 00:03:41,560 --> 00:03:44,480 Speaker 1: York Stock Exchange a couple of weeks ago to try 64 00:03:44,520 --> 00:03:47,120 Speaker 1: to turn people's attention to what was going on here, 65 00:03:47,560 --> 00:03:49,960 Speaker 1: and the market seemed to be whistling past the graveyard. 66 00:03:50,000 --> 00:03:52,480 Speaker 1: And I know it's not a CEO's job to prod 67 00:03:52,520 --> 00:03:55,120 Speaker 1: the president or the Speaker of the House, but should 68 00:03:55,120 --> 00:03:59,160 Speaker 1: there be a letter written by the leaders of Fortune 69 00:03:59,200 --> 00:04:01,720 Speaker 1: five hundred company needs to say, hey, guys, we need 70 00:04:01,760 --> 00:04:03,720 Speaker 1: you to get together here, because of course these are 71 00:04:03,760 --> 00:04:05,680 Speaker 1: major donors as well and play a big role in 72 00:04:05,920 --> 00:04:07,960 Speaker 1: the way elections pan out here in America. 73 00:04:08,800 --> 00:04:13,240 Speaker 2: Yes. Absolutely. However, I think one of the reasons CEO 74 00:04:13,360 --> 00:04:16,200 Speaker 2: and Wall Street is sort of taking a huhum attitude 75 00:04:16,240 --> 00:04:20,000 Speaker 2: right now is because we always go through this. We 76 00:04:20,080 --> 00:04:23,640 Speaker 2: always go through it. God knows when we have split 77 00:04:23,720 --> 00:04:27,480 Speaker 2: government again. When Trump was president and he had the 78 00:04:27,520 --> 00:04:31,679 Speaker 2: House and the Senate, there wasn't this kind of histrionic debate. 79 00:04:32,080 --> 00:04:34,960 Speaker 2: But every time we've had split government, there's been great 80 00:04:35,040 --> 00:04:39,120 Speaker 2: drama and great rhetoric back and forth, and somehow we 81 00:04:39,240 --> 00:04:42,120 Speaker 2: always manage to get this done. And so I think 82 00:04:42,520 --> 00:04:45,120 Speaker 2: people are looking to history and saying we're likely to 83 00:04:45,160 --> 00:04:49,120 Speaker 2: get it done. On the other hand, Kevin McCarthy clearly 84 00:04:49,160 --> 00:04:53,039 Speaker 2: has an unruly caucus. You know, they are only a 85 00:04:53,160 --> 00:04:56,640 Speaker 2: handful of members that could think a deal. There is 86 00:04:56,680 --> 00:05:01,320 Speaker 2: an election season coming up, and so as I say, 87 00:05:01,400 --> 00:05:05,160 Speaker 2: I hope McCarthy and Biden are thinking about what a 88 00:05:05,160 --> 00:05:07,560 Speaker 2: possible win is for the other side. But I wouldn't 89 00:05:07,560 --> 00:05:11,159 Speaker 2: expect the business community to get too exercise for another 90 00:05:11,240 --> 00:05:11,760 Speaker 2: month or so. 91 00:05:12,600 --> 00:05:14,839 Speaker 3: Carly, I wonder there's a lot of talk here in 92 00:05:14,839 --> 00:05:16,800 Speaker 3: the United States about how this makes us look in 93 00:05:16,800 --> 00:05:19,200 Speaker 3: the eyes of the world. I wonder, as a corporate leader, 94 00:05:19,240 --> 00:05:21,880 Speaker 3: when you're running HP, does it affect you how the 95 00:05:21,920 --> 00:05:23,279 Speaker 3: rest of the world thinks about it? Says you do 96 00:05:23,640 --> 00:05:26,200 Speaker 3: business around the world. If the rest of the world thinks, boy, 97 00:05:26,200 --> 00:05:27,880 Speaker 3: they can't get their act together, does it make it 98 00:05:27,880 --> 00:05:29,720 Speaker 3: harder to do business? Or do they say no, we 99 00:05:29,760 --> 00:05:33,400 Speaker 3: know Washington's different, We don't pay much attention to Capitol Hill. 100 00:05:33,600 --> 00:05:35,960 Speaker 2: Well, you know, I think, honestly, David, it's a little 101 00:05:35,960 --> 00:05:41,120 Speaker 2: bit of both On the one hand, customers are buying 102 00:05:41,200 --> 00:05:44,960 Speaker 2: from a company and they assess its products and its management. 103 00:05:45,600 --> 00:05:48,440 Speaker 2: On the other hand, when we do look like we 104 00:05:48,520 --> 00:05:51,600 Speaker 2: can't get our act together, I do think customers are 105 00:05:51,680 --> 00:05:55,440 Speaker 2: more willing to look at other alternatives. After all, every 106 00:05:55,480 --> 00:05:59,040 Speaker 2: industry is global now. And I'll give you an example 107 00:05:59,080 --> 00:06:03,880 Speaker 2: of that. I can remember being in Europe and something 108 00:06:04,160 --> 00:06:07,560 Speaker 2: terribly embarrassing was going on in the US at the time. 109 00:06:07,680 --> 00:06:14,120 Speaker 2: You remember hanging chats and a whole set of very 110 00:06:15,560 --> 00:06:18,799 Speaker 2: important customers were saying, you know, we just don't expect 111 00:06:18,800 --> 00:06:22,919 Speaker 2: this out of America. And what I felt at the 112 00:06:22,960 --> 00:06:27,440 Speaker 2: time and since when I've been in elsewhere and the 113 00:06:27,560 --> 00:06:31,279 Speaker 2: US has been looking embarrassing, is it causes customers to 114 00:06:31,400 --> 00:06:35,279 Speaker 2: pause and to look around and to say, you know, 115 00:06:35,440 --> 00:06:38,839 Speaker 2: maybe something unexpected can happen. In the end, I think 116 00:06:38,880 --> 00:06:41,800 Speaker 2: it is the strength of the product and the quality 117 00:06:41,839 --> 00:06:46,600 Speaker 2: of the personnel. But there's no question that politics influences 118 00:06:46,680 --> 00:06:47,840 Speaker 2: people's perceptions. 119 00:06:49,720 --> 00:06:51,840 Speaker 1: One of the other big stories, David and Carly that 120 00:06:51,880 --> 00:06:55,720 Speaker 1: we've been talking about this week is the arrival, at 121 00:06:55,800 --> 00:06:58,599 Speaker 1: least for some of us, of AI in a way 122 00:06:58,600 --> 00:07:02,159 Speaker 1: that's changing the way leaders look at business, in the 123 00:07:02,160 --> 00:07:05,720 Speaker 1: way corporations are considering the issue of productivity when you 124 00:07:05,760 --> 00:07:08,880 Speaker 1: consider the earnings that we've had this week from Microsoft, 125 00:07:08,920 --> 00:07:12,160 Speaker 1: from Google, the conversations that are being had with Nvidia 126 00:07:12,640 --> 00:07:16,400 Speaker 1: and David, a lot of CEOs around the country, not 127 00:07:16,560 --> 00:07:19,720 Speaker 1: just tech but even service companies thinking about AI and 128 00:07:19,760 --> 00:07:22,120 Speaker 1: the way that it might be able to increase productivity 129 00:07:22,480 --> 00:07:25,960 Speaker 1: against the great unknown of what this all leads to 130 00:07:26,840 --> 00:07:29,440 Speaker 1: in a fascinating conversation with some real risks in the 131 00:07:29,520 --> 00:07:30,080 Speaker 1: year around it. 132 00:07:30,200 --> 00:07:32,200 Speaker 3: Indeed, Joe, it strikes me that this is the week 133 00:07:32,240 --> 00:07:34,640 Speaker 3: of big tech earnings, and the earnings have been fairly 134 00:07:34,760 --> 00:07:37,360 Speaker 3: encouraging this far, and yet all anybody wants to talk 135 00:07:37,360 --> 00:07:40,240 Speaker 3: about is generative EI. Not what happened last quarter, but 136 00:07:40,320 --> 00:07:42,160 Speaker 3: what's going to happen three years from now, five years 137 00:07:42,160 --> 00:07:44,640 Speaker 3: from now. And as you say, Joe, the question is 138 00:07:44,680 --> 00:07:46,880 Speaker 3: not just what it means for tech companies, what it 139 00:07:46,920 --> 00:07:50,080 Speaker 3: means more generally. And I'm curious, Carly, if you were 140 00:07:50,080 --> 00:07:54,120 Speaker 3: back running HP or any other very large, publicly traded company, 141 00:07:54,600 --> 00:07:58,520 Speaker 3: how would you be addressing generative AI. It's potential for 142 00:07:58,720 --> 00:08:00,520 Speaker 3: upside also maybe some of the risks. 143 00:08:01,920 --> 00:08:05,080 Speaker 2: Well, first, I think one of the reasons people are 144 00:08:05,160 --> 00:08:10,320 Speaker 2: so excited about it across Wall Street beyond tech is 145 00:08:10,360 --> 00:08:13,920 Speaker 2: because clearly one of the promises of AI that we're 146 00:08:13,920 --> 00:08:18,000 Speaker 2: now starting to see is it drives higher revenues at 147 00:08:18,040 --> 00:08:21,520 Speaker 2: lower costs. And who doesn't like that in visits? And 148 00:08:21,560 --> 00:08:23,400 Speaker 2: I think we're going to see more and more of that. 149 00:08:24,200 --> 00:08:27,720 Speaker 2: On the other hand, I think what we also, I 150 00:08:27,880 --> 00:08:32,600 Speaker 2: hope understand is that AI comes with great peril, And 151 00:08:33,280 --> 00:08:36,400 Speaker 2: to me, one of the perils was highlighted in Meta's 152 00:08:36,440 --> 00:08:39,920 Speaker 2: earnings report. Mark Zuckerberg makes a series of statements about 153 00:08:39,960 --> 00:08:42,839 Speaker 2: their earnings, and what he said was that they are 154 00:08:42,960 --> 00:08:50,160 Speaker 2: using generative AI to push to their users content that 155 00:08:50,320 --> 00:08:54,400 Speaker 2: AI has figured out they will like. Okay, now, that 156 00:08:54,520 --> 00:08:57,520 Speaker 2: drives revenue at reduced costs. But one of the things 157 00:08:57,559 --> 00:09:00,800 Speaker 2: we know about social media is that it has narrowed 158 00:09:00,880 --> 00:09:04,880 Speaker 2: everyone's perspective and it has divided us further because what 159 00:09:05,000 --> 00:09:07,920 Speaker 2: gets pushed to you is what you already agree with, 160 00:09:08,240 --> 00:09:12,400 Speaker 2: what you already like, or what's very controversial and therefore 161 00:09:12,559 --> 00:09:16,079 Speaker 2: very interesting. So what AI is doing is pushing ever 162 00:09:16,400 --> 00:09:20,640 Speaker 2: more of that towards everyone. Does it drive revenue at 163 00:09:20,679 --> 00:09:25,280 Speaker 2: lower cost yes? Does it narrow our perspective and divide 164 00:09:25,360 --> 00:09:28,960 Speaker 2: us further. Yes, and may I say, being chair of 165 00:09:28,960 --> 00:09:32,400 Speaker 2: Colonial Williamsburg, the largest living museum in the world, what 166 00:09:32,559 --> 00:09:35,000 Speaker 2: I worry about now and what we are starting to 167 00:09:35,080 --> 00:09:38,520 Speaker 2: study is you know, you can have a conversation with 168 00:09:38,559 --> 00:09:44,480 Speaker 2: Thomas Jefferson on AI today. However, between fifty and sixty 169 00:09:44,559 --> 00:09:49,120 Speaker 2: percent of everything Thomas Jefferson tells you is wrong. So 170 00:09:49,240 --> 00:09:54,000 Speaker 2: now think about that as we hurdle towards our nation's 171 00:09:54,000 --> 00:09:56,800 Speaker 2: two hundred and fiftieth anniversary in twenty twenty six. 172 00:09:57,600 --> 00:09:59,760 Speaker 1: This is a really important perspective, Carly, and I thank 173 00:09:59,800 --> 00:10:02,360 Speaker 1: you for the idea of narrowing perspective, not so much 174 00:10:02,400 --> 00:10:05,640 Speaker 1: worrying about Skynet and you know, the robots coming to 175 00:10:05,679 --> 00:10:09,040 Speaker 1: get us here, but narrowing perspective and making that echo 176 00:10:09,160 --> 00:10:12,720 Speaker 1: chamber louder that has always already created such a toxic space, 177 00:10:12,800 --> 00:10:15,760 Speaker 1: particularly for young Americans. That's that sounds like a real 178 00:10:15,800 --> 00:10:18,000 Speaker 1: worry as we look at where we are five or 179 00:10:18,000 --> 00:10:19,600 Speaker 1: ten years down the road in terms of just our 180 00:10:19,640 --> 00:10:20,480 Speaker 1: social discourse. 181 00:10:21,200 --> 00:10:23,640 Speaker 2: Yes, I think it is a real worry. And now 182 00:10:23,679 --> 00:10:25,720 Speaker 2: I want to link it to something else that happened 183 00:10:25,720 --> 00:10:30,000 Speaker 2: in the UK with Microvision and their Microsoft and their 184 00:10:30,600 --> 00:10:33,960 Speaker 2: acquisition of activision. I think one of the things that 185 00:10:34,040 --> 00:10:38,400 Speaker 2: has happened here is technology companies have lost people's trust 186 00:10:39,120 --> 00:10:43,079 Speaker 2: in very important ways. Technology companies promised us that they 187 00:10:43,120 --> 00:10:47,320 Speaker 2: were on top of all of the perils of social media. 188 00:10:47,400 --> 00:10:51,200 Speaker 2: They told us over and over again about all the 189 00:10:51,240 --> 00:10:54,040 Speaker 2: promise of social media, and there is a lot, but 190 00:10:54,120 --> 00:10:57,240 Speaker 2: they have always downplayed the peril. They've told us they 191 00:10:57,280 --> 00:10:59,960 Speaker 2: had it handled, they understood how to deal with all this, 192 00:11:00,080 --> 00:11:03,400 Speaker 2: and it turns out not so much. And I think 193 00:11:03,440 --> 00:11:07,560 Speaker 2: what's happening is technology companies are saying the same thing 194 00:11:07,600 --> 00:11:11,800 Speaker 2: about AI. No, no, no, trust it, trust us, we got this, 195 00:11:12,559 --> 00:11:15,000 Speaker 2: And I think regulators are saying, you know, it's pretty 196 00:11:15,000 --> 00:11:18,200 Speaker 2: clear they don't have it all figured out. And so 197 00:11:18,320 --> 00:11:22,359 Speaker 2: what I think that's going to do is cause regulators 198 00:11:22,400 --> 00:11:29,320 Speaker 2: and politicians everywhere to be less likely to just say yes. 199 00:11:30,040 --> 00:11:33,480 Speaker 2: And so that's a new era for technology companies, and 200 00:11:33,520 --> 00:11:35,640 Speaker 2: I think they have to think about it because trust 201 00:11:35,679 --> 00:11:37,800 Speaker 2: wants squandered is very hard to regain. 202 00:11:38,600 --> 00:11:40,360 Speaker 3: And finally, I'd like to bring it back to all 203 00:11:40,400 --> 00:11:42,839 Speaker 3: of us doing our jobs and talk about termites. You 204 00:11:43,240 --> 00:11:47,560 Speaker 3: write a weekly newsletter for LinkedIn Leadership Matters, and this 205 00:11:47,600 --> 00:11:49,760 Speaker 3: week it's on perspective pursuit, and you bring us back 206 00:11:49,760 --> 00:11:51,640 Speaker 3: to termites, something you and I've talked about in the past. 207 00:11:51,840 --> 00:11:55,040 Speaker 3: It's fascinating what termites do. But to connect it with AI, 208 00:11:55,200 --> 00:11:58,200 Speaker 3: I wonder whether AI has the potential to make us 209 00:11:58,200 --> 00:12:00,720 Speaker 3: all pick up our heads, look around us and get 210 00:12:00,760 --> 00:12:02,440 Speaker 3: a little bit of a different perspective, which is what 211 00:12:02,480 --> 00:12:03,440 Speaker 3: you write about this week. 212 00:12:04,400 --> 00:12:09,200 Speaker 2: Well, let's yes, it's does it have the potential to 213 00:12:09,280 --> 00:12:12,559 Speaker 2: do that? Yes, I use the example of Thomas Jefferson. 214 00:12:12,600 --> 00:12:15,560 Speaker 2: That's scary. On the other hand, AI has the opportunity 215 00:12:15,640 --> 00:12:20,400 Speaker 2: to make history far more engaging. It has the opportunity 216 00:12:20,440 --> 00:12:25,520 Speaker 2: to make our lives far more productive, absolutely right. On 217 00:12:25,600 --> 00:12:29,520 Speaker 2: the other hand, the modern day equivalent of the termite 218 00:12:30,400 --> 00:12:34,360 Speaker 2: burrow is the device in our hand. We put our 219 00:12:34,400 --> 00:12:37,160 Speaker 2: heads down and we go into our rabbit hole, and 220 00:12:37,200 --> 00:12:39,120 Speaker 2: we talk to the people who agree with us, and 221 00:12:39,160 --> 00:12:41,680 Speaker 2: we look at the stuff we already like. And so 222 00:12:41,800 --> 00:12:44,880 Speaker 2: if we're not careful, and by the way, our device 223 00:12:44,960 --> 00:12:47,880 Speaker 2: in our hand is all about the here and now. 224 00:12:48,280 --> 00:12:54,240 Speaker 2: It's immediate, it's intensive, it's intrusive, and all of that 225 00:12:54,400 --> 00:12:57,720 Speaker 2: makes it harder for people to lift their heads, look around, 226 00:12:57,840 --> 00:13:01,880 Speaker 2: take a pause and think and so while there is 227 00:13:01,920 --> 00:13:04,960 Speaker 2: great promise in AI, I do think there is peril, 228 00:13:05,040 --> 00:13:09,640 Speaker 2: and I think CEOs everywhere, thoughtful citizens everywhere need to 229 00:13:10,720 --> 00:13:15,560 Speaker 2: really pay attention to how we make sure that we 230 00:13:15,679 --> 00:13:19,160 Speaker 2: deal with some of the perils which are real and 231 00:13:19,200 --> 00:13:22,760 Speaker 2: which social media demonstrates to us and has been demonstrating 232 00:13:23,320 --> 00:13:24,840 Speaker 2: over the last decade. 233 00:13:24,920 --> 00:13:28,240 Speaker 1: For sure, what a great conversation, Carly, Thank you so 234 00:13:28,320 --> 00:13:31,680 Speaker 1: much for sharing that. As always, Carly fi Areena, founder 235 00:13:31,679 --> 00:13:34,520 Speaker 1: and Chair of Carly fi Areena Enterprises and Unlocking Potential, 236 00:13:34,520 --> 00:13:37,480 Speaker 1: along with our very own David Weston joining us from 237 00:13:37,520 --> 00:13:40,640 Speaker 1: Bloomberg World headquarters in New York. David, Carly, thank you 238 00:13:40,720 --> 00:13:43,199 Speaker 1: for a great talk and I was looking forward to 239 00:13:43,240 --> 00:13:47,720 Speaker 1: the next one here on Bloomberg Radio.