1 00:00:00,360 --> 00:00:04,600 Speaker 1: Now on Bloomberg with divided government, what are the political 2 00:00:04,600 --> 00:00:07,600 Speaker 1: reality the President has increasingly frustrated. I want to try 3 00:00:07,640 --> 00:00:10,600 Speaker 1: to cut through the noise politically. This is devastating. Sound 4 00:00:10,640 --> 00:00:15,319 Speaker 1: on with Kevin, the insiders, the influencers, the insiders. It 5 00:00:15,480 --> 00:00:18,120 Speaker 1: is no secret that I care a lot about the consumers. 6 00:00:18,280 --> 00:00:21,360 Speaker 1: There are real questions about good tech. We still have 7 00:00:21,400 --> 00:00:23,599 Speaker 1: more leverage to me, as rickets harraffs, I think we 8 00:00:23,600 --> 00:00:25,640 Speaker 1: could do with a little less drama from the White House. 9 00:00:26,480 --> 00:00:30,920 Speaker 1: He's summed on with Kevin's you relate on Bloomberg one 10 00:00:31,040 --> 00:00:33,880 Speaker 1: at one point seven a m h D two Boltemore, 11 00:00:34,200 --> 00:00:38,040 Speaker 1: Happy Monday, folks, Fox Tony Phil is a liar. It 12 00:00:38,200 --> 00:00:40,559 Speaker 1: is freezing cold out and a ton of news to 13 00:00:40,640 --> 00:00:44,320 Speaker 1: get through today. The Boeing investigation into the seven thirty 14 00:00:44,360 --> 00:00:47,640 Speaker 1: seven max is continuing. We will get into the fallout 15 00:00:47,760 --> 00:00:51,720 Speaker 1: for that elsewhere. President Trump finds himself in a political 16 00:00:51,760 --> 00:00:55,760 Speaker 1: feud with GM, his latest Twitter tirade, just a couple 17 00:00:55,760 --> 00:00:59,000 Speaker 1: of days before he's headed to hold a campaign style 18 00:00:59,040 --> 00:01:02,639 Speaker 1: event in oh Hio. This after GM shuts down their 19 00:01:02,680 --> 00:01:07,120 Speaker 1: Lord's Town plan, impacting more than a ten thousand workers. 20 00:01:07,120 --> 00:01:09,480 Speaker 1: Coming up on the program, we will hear from Congressman 21 00:01:09,520 --> 00:01:12,520 Speaker 1: Tim Ryan, a Democrat from Ohio. He is in Ohio 22 00:01:12,880 --> 00:01:14,399 Speaker 1: on the ground, and he's going to tell us what 23 00:01:14,480 --> 00:01:17,640 Speaker 1: he's hearing a head of President Trump's visit to his region, 24 00:01:18,000 --> 00:01:20,920 Speaker 1: as well as what he's hearing from the union workers 25 00:01:21,720 --> 00:01:24,920 Speaker 1: u a W United Auto Workers locked in a tip 26 00:01:25,000 --> 00:01:28,800 Speaker 1: for tat with President Trump with General Motors? And where 27 00:01:28,880 --> 00:01:30,880 Speaker 1: is Mary Barrett the CEO and all of this We're 28 00:01:30,880 --> 00:01:35,880 Speaker 1: gonna find out. Plus Fadder continues, We've got an all 29 00:01:35,880 --> 00:01:39,800 Speaker 1: star panel to help navigate through these headlines. Emilych Sessman 30 00:01:39,959 --> 00:01:43,000 Speaker 1: is the former vice president of campaigns for the Center 31 00:01:43,040 --> 00:01:46,160 Speaker 1: for American Progress. She's also a Democratic strategist, former staff 32 00:01:46,160 --> 00:01:49,480 Speaker 1: around the oweight Obama campaign. Terry Sullivan, founding partner at 33 00:01:49,480 --> 00:01:54,120 Speaker 1: Firehouse Strategies PR firm, a former Rubio presidential campaign manager. 34 00:01:54,320 --> 00:01:56,960 Speaker 1: Back in We've got much more to talk about the 35 00:01:57,760 --> 00:02:00,840 Speaker 1: race and Beto O'Rourke's law and sis, well as Senator 36 00:02:00,920 --> 00:02:03,720 Speaker 1: Kirston Gillibrm. We'll get into that coming up later on 37 00:02:03,840 --> 00:02:06,160 Speaker 1: in the program. But Emily, did you hear what happened 38 00:02:06,240 --> 00:02:11,000 Speaker 1: at General Motors? They woke up, Uh, the GM woke 39 00:02:11,120 --> 00:02:15,320 Speaker 1: up to another lamb basting from President Trump on Twitter. 40 00:02:15,840 --> 00:02:18,840 Speaker 1: It comes essentially as the President is going to be 41 00:02:18,919 --> 00:02:22,919 Speaker 1: headed to Ohio on Wednesday, We're gonna hear from Congressman 42 00:02:22,960 --> 00:02:25,800 Speaker 1: Tim Ryan, a Democrat from Ohio coming up later on 43 00:02:25,840 --> 00:02:30,080 Speaker 1: in the program. But GM versus President Trump in battleground 44 00:02:30,080 --> 00:02:34,120 Speaker 1: political state all over the shutting down of their lords town, 45 00:02:34,200 --> 00:02:38,880 Speaker 1: Ohio plant. Uh, what do you make of all this? Um? 46 00:02:38,919 --> 00:02:41,920 Speaker 1: I feel like everything we see come from President Trump, 47 00:02:41,919 --> 00:02:43,840 Speaker 1: which is a lot because I'm doing a lot of tweeting. 48 00:02:44,080 --> 00:02:45,880 Speaker 1: But I feel like there's two prisms that you can 49 00:02:45,919 --> 00:02:48,120 Speaker 1: look through at. One is what is he defending that 50 00:02:48,160 --> 00:02:50,240 Speaker 1: has to do with himself, Like he is always at 51 00:02:50,280 --> 00:02:52,639 Speaker 1: the center of everything. And in this case, I would 52 00:02:52,680 --> 00:02:54,040 Speaker 1: put it in that camp, which is that you know, 53 00:02:54,240 --> 00:02:56,600 Speaker 1: he promised he would talk bring back jobs, you promised 54 00:02:56,600 --> 00:03:00,160 Speaker 1: he would keep plants open, even bring them back about manufacturing, right, 55 00:03:00,160 --> 00:03:01,919 Speaker 1: So this goes to the core of what he ran 56 00:03:02,000 --> 00:03:04,160 Speaker 1: on how he views himself. The other camp I would 57 00:03:04,200 --> 00:03:06,440 Speaker 1: put most of his communications in is what is he 58 00:03:06,480 --> 00:03:09,120 Speaker 1: distracting from so you know, we do hear more and 59 00:03:09,160 --> 00:03:11,280 Speaker 1: more at the Mole Report maybe coming down, So that 60 00:03:11,280 --> 00:03:12,639 Speaker 1: would be the other thing I'm looking to. But I 61 00:03:12,680 --> 00:03:15,040 Speaker 1: actually think but this more in the camp of it 62 00:03:15,760 --> 00:03:18,720 Speaker 1: offends his own version of himself as the president. I'll 63 00:03:18,720 --> 00:03:21,360 Speaker 1: be honest about this. I spoke with Dave Green, he's 64 00:03:21,520 --> 00:03:23,840 Speaker 1: one of the leaders that the United Auto Workers just 65 00:03:24,480 --> 00:03:26,240 Speaker 1: an hour and a half ago, and and we're gonna 66 00:03:26,240 --> 00:03:29,200 Speaker 1: be hearing from him tomorrow. Uh And and he's locked 67 00:03:29,240 --> 00:03:32,720 Speaker 1: in the middle terry of this in this battle brewing 68 00:03:32,760 --> 00:03:35,960 Speaker 1: between Mary Barra, the CEO of General Motors, who, by 69 00:03:35,960 --> 00:03:39,080 Speaker 1: the way, is facing criticism not just from President Trump, 70 00:03:39,360 --> 00:03:42,120 Speaker 1: not just from the likes of Senator Rob Portman, a Republican, 71 00:03:42,360 --> 00:03:46,360 Speaker 1: but also from Senator Shared Brown and other Democrats who 72 00:03:46,360 --> 00:03:50,720 Speaker 1: are completely frustrated at why there was a lack of 73 00:03:50,720 --> 00:03:55,440 Speaker 1: communication in terms of the pipeline between politicians there in 74 00:03:55,480 --> 00:03:59,960 Speaker 1: Ohio and lawmakers. But essentially, what what he was telling 75 00:04:00,280 --> 00:04:03,320 Speaker 1: me just an hour and a half ago was this 76 00:04:03,400 --> 00:04:06,720 Speaker 1: is this is getting way to public because the negotiations 77 00:04:06,720 --> 00:04:10,040 Speaker 1: between GM as well as the union workers, yes, they 78 00:04:10,080 --> 00:04:12,480 Speaker 1: were escalating, and there's always a public element to it. 79 00:04:12,680 --> 00:04:16,560 Speaker 1: But now to pour this political fire fuel over it 80 00:04:16,640 --> 00:04:20,360 Speaker 1: is you know, maybe where where does it go from here? Well, look, 81 00:04:20,360 --> 00:04:24,880 Speaker 1: it's this is where we're at in in your every 82 00:04:24,920 --> 00:04:28,080 Speaker 1: CEO is now a candidate, their their company is now 83 00:04:28,080 --> 00:04:32,240 Speaker 1: a campaign. There the consumers are now voters that vote 84 00:04:32,240 --> 00:04:37,599 Speaker 1: with their pocketbook about the the the social I guess 85 00:04:37,680 --> 00:04:41,320 Speaker 1: position in many cases of a company or their business practices. 86 00:04:41,600 --> 00:04:43,800 Speaker 1: And so we don't just see everything from the NFL 87 00:04:43,920 --> 00:04:47,640 Speaker 1: to PEPSI to you name it, Nike. Everybody who is 88 00:04:47,680 --> 00:04:50,200 Speaker 1: a corporation is thrust into a different space now where 89 00:04:50,240 --> 00:04:52,520 Speaker 1: there they have to defend themselves in a different way. 90 00:04:53,040 --> 00:04:55,240 Speaker 1: I think we'd be hard pressed to find a situation 91 00:04:55,240 --> 00:04:57,560 Speaker 1: where Trump entering the fray and commenting on it had 92 00:04:57,600 --> 00:05:01,120 Speaker 1: made it better or like took down the temperature around 93 00:05:01,160 --> 00:05:03,960 Speaker 1: the well. I mean, but but see your point. I mean, 94 00:05:04,040 --> 00:05:06,960 Speaker 1: especially now when we read these quarterly earnings reports, whether 95 00:05:07,240 --> 00:05:10,320 Speaker 1: particularly in the auto sector, where you start to see 96 00:05:10,360 --> 00:05:13,440 Speaker 1: a lot of these companies who are are listing the 97 00:05:13,440 --> 00:05:17,640 Speaker 1: president's trade policies as as a hindrance in terms of 98 00:05:17,760 --> 00:05:20,120 Speaker 1: R and D, in terms of how they're going to 99 00:05:20,200 --> 00:05:23,440 Speaker 1: be in investing, in terms of their long term strategies. 100 00:05:23,640 --> 00:05:27,200 Speaker 1: What's interesting and fascinating about this is that, Okay, that's 101 00:05:27,240 --> 00:05:30,480 Speaker 1: the policy angle, but the political angle is that Senator 102 00:05:30,520 --> 00:05:33,839 Speaker 1: share Brown, who feels like the only senator not running 103 00:05:33,839 --> 00:05:36,320 Speaker 1: for president as a Democrat, but he carried that state 104 00:05:36,360 --> 00:05:39,600 Speaker 1: by twenty two percentage points. So you have that and 105 00:05:39,640 --> 00:05:42,919 Speaker 1: the policy which President Trump said was really going to 106 00:05:43,040 --> 00:05:46,600 Speaker 1: be for these union workers. Now this is like the 107 00:05:46,640 --> 00:05:50,240 Speaker 1: perfect illustration at the cusp of the cycle. But at 108 00:05:50,240 --> 00:05:53,360 Speaker 1: the end of the day, the specifics they're talking about 109 00:05:53,400 --> 00:05:56,160 Speaker 1: that situation are they're making a GMS, making a crappy 110 00:05:56,200 --> 00:05:58,919 Speaker 1: car that nobody wanted to buy, so they stopped buying it, 111 00:05:59,000 --> 00:06:00,880 Speaker 1: and they're stopping making the car, or maybe they're they're 112 00:06:00,920 --> 00:06:03,080 Speaker 1: moving well and they forecasted it in the first quarter 113 00:06:03,120 --> 00:06:05,200 Speaker 1: of last year, right, and so this is not this 114 00:06:05,320 --> 00:06:07,760 Speaker 1: is you know, consumers and one oh one. I mean, 115 00:06:08,320 --> 00:06:10,440 Speaker 1: people aren't buying the car, they're gonna stop making it, 116 00:06:10,480 --> 00:06:12,760 Speaker 1: and the people who made the car are out of work. 117 00:06:13,080 --> 00:06:15,440 Speaker 1: So how do you sell that? I mean not that's 118 00:06:15,480 --> 00:06:19,960 Speaker 1: not sell the Chevy Creus, but how do you sell that? 119 00:06:20,040 --> 00:06:22,120 Speaker 1: For the record, I have nothing against you know, I 120 00:06:22,120 --> 00:06:23,839 Speaker 1: actually don't know. I just never mind. I'm not going 121 00:06:23,960 --> 00:06:26,480 Speaker 1: on there, Christine barant I'm gonna stay on message. Uh, 122 00:06:26,839 --> 00:06:29,440 Speaker 1: how do you how do you take that message of 123 00:06:29,560 --> 00:06:33,160 Speaker 1: artificial intelligence on the rise of you know, the the 124 00:06:33,320 --> 00:06:36,599 Speaker 1: entire auto sector shifting and changing, and you know the 125 00:06:36,720 --> 00:06:39,840 Speaker 1: rise of peer to peer programs and whatnot. And and 126 00:06:39,880 --> 00:06:42,839 Speaker 1: go into a town like Youngstown, Ohio, which look, Terry, 127 00:06:42,880 --> 00:06:45,800 Speaker 1: you're a Republican, Emily you're a Democrat, but both of 128 00:06:45,839 --> 00:06:49,920 Speaker 1: you know this Youngstown, Ohio. You cannot carry the state 129 00:06:49,920 --> 00:06:53,400 Speaker 1: of Ohio without performing well. Uh in in the place 130 00:06:53,440 --> 00:06:56,920 Speaker 1: like Youngstown, which is you know, filled with voters who 131 00:06:57,320 --> 00:07:00,400 Speaker 1: voted for Obama and then maybe potentially voted for Trump. 132 00:07:00,440 --> 00:07:02,960 Speaker 1: Those types of voters. Uh. Towns like where I grew 133 00:07:03,000 --> 00:07:06,440 Speaker 1: up outside of Philadelphia. So how how do you convey 134 00:07:06,600 --> 00:07:10,000 Speaker 1: that message as a politician that hey, that plant shut 135 00:07:10,000 --> 00:07:12,160 Speaker 1: down not because of the politician, but because of a 136 00:07:12,280 --> 00:07:15,320 Speaker 1: changing economy. Well, that, I think is the challenge for 137 00:07:15,360 --> 00:07:17,760 Speaker 1: every candidate. And they have to be able to talk 138 00:07:17,800 --> 00:07:19,440 Speaker 1: about a gig economy. They have to be able to 139 00:07:19,440 --> 00:07:21,360 Speaker 1: talk about automation, they have to be able to talk 140 00:07:21,360 --> 00:07:23,960 Speaker 1: about an economy of the future and where people see 141 00:07:24,000 --> 00:07:26,920 Speaker 1: themselves in it. I actually feel very strongly that Democrats 142 00:07:27,000 --> 00:07:29,720 Speaker 1: who want to be the candidate should be running on 143 00:07:29,760 --> 00:07:33,520 Speaker 1: a positive vision and not attacking Trump. The contrast will exist, 144 00:07:33,840 --> 00:07:35,800 Speaker 1: but they have to be able to show something that 145 00:07:35,920 --> 00:07:38,120 Speaker 1: is specific. A lot of what we're hearing from reporters 146 00:07:38,160 --> 00:07:40,560 Speaker 1: who are on the ground in the Iowa, New Hampshire, 147 00:07:40,600 --> 00:07:43,840 Speaker 1: and South Carolina town halls is that the candidates want 148 00:07:44,040 --> 00:07:46,760 Speaker 1: the voters want something specific and they're not hearing it 149 00:07:46,800 --> 00:07:48,480 Speaker 1: but the exception of a handful, and you might not 150 00:07:48,560 --> 00:07:50,440 Speaker 1: like the specifics that they're giving it. But I mean, 151 00:07:50,480 --> 00:07:52,800 Speaker 1: Senator Elizabeth Warren, you know what she stands for. Senator 152 00:07:52,840 --> 00:07:55,440 Speaker 1: Bernie Sanders, you know what she stands for. Former Vice 153 00:07:55,440 --> 00:07:58,120 Speaker 1: President Joe Biden should he get any as a record. 154 00:07:58,560 --> 00:08:00,880 Speaker 1: Senator Corey Booker has a record. So it's gonna be 155 00:08:00,920 --> 00:08:03,840 Speaker 1: interesting when the political gloves start to come off to 156 00:08:03,880 --> 00:08:05,760 Speaker 1: see if there's meat and potatoes, for lack of a 157 00:08:05,760 --> 00:08:09,920 Speaker 1: better term, on on on some of these candidates. But 158 00:08:09,920 --> 00:08:13,040 Speaker 1: but Terry to to the point that Emily just made, 159 00:08:13,240 --> 00:08:15,760 Speaker 1: especially in terms of how do you make that case 160 00:08:15,800 --> 00:08:18,040 Speaker 1: to voters. You know, we've had some folks on from 161 00:08:18,080 --> 00:08:21,880 Speaker 1: Justice Democrats on in recent weeks and we were asking them, 162 00:08:22,440 --> 00:08:25,920 Speaker 1: you know, to take off the political hat for a second. 163 00:08:26,000 --> 00:08:27,840 Speaker 1: But when you make the case for something like a 164 00:08:27,880 --> 00:08:33,319 Speaker 1: Green New Deal that is a very tangible, tangible item, 165 00:08:33,360 --> 00:08:35,320 Speaker 1: when you go into West Virginia or you go to 166 00:08:35,400 --> 00:08:38,319 Speaker 1: a refinery. I mean, this is your livelihood. So how 167 00:08:38,320 --> 00:08:41,160 Speaker 1: do you get away from the talking points Allah and 168 00:08:41,280 --> 00:08:45,720 Speaker 1: Youngstown and say this is a shifting economy and here's 169 00:08:45,760 --> 00:08:50,440 Speaker 1: how we can replace your livelihood. Yeah, look, it's it's tough. 170 00:08:50,480 --> 00:08:52,640 Speaker 1: I mean you see that with the coal industry. Uh, 171 00:08:52,760 --> 00:08:56,319 Speaker 1: you see that with with manufacturing across the board, and 172 00:08:56,320 --> 00:08:59,040 Speaker 1: and and look when Democrats do things like support the 173 00:08:59,080 --> 00:09:03,000 Speaker 1: Green New Deal, that's that's just absurd. On on the surface, 174 00:09:03,440 --> 00:09:07,160 Speaker 1: They're not helping themselves. They are one real gift I 175 00:09:07,200 --> 00:09:11,240 Speaker 1: think that Donald Trump has is drawing his opponents off 176 00:09:11,280 --> 00:09:14,320 Speaker 1: sides and making them do do stupid things. And frankly, 177 00:09:14,800 --> 00:09:17,960 Speaker 1: you know why the Democrats decided that was something they 178 00:09:18,000 --> 00:09:20,480 Speaker 1: needed to do, because it just plays right into Trump's 179 00:09:20,520 --> 00:09:23,400 Speaker 1: hands in a place like Youngstown, Ohio. Alright, coming up, 180 00:09:23,480 --> 00:09:25,560 Speaker 1: we've got more business fault. It really has been a 181 00:09:25,640 --> 00:09:29,960 Speaker 1: business centric past week, the more fallout for general motors. 182 00:09:29,960 --> 00:09:32,000 Speaker 1: We're going to check in with Congressman Tim Ryan, a 183 00:09:32,040 --> 00:09:36,120 Speaker 1: Democrat from Ohio. He's the go to politician in that region. 184 00:09:36,640 --> 00:09:40,000 Speaker 1: Just ahead of President Trump's visit on Wednesday. Plus big 185 00:09:40,000 --> 00:09:44,679 Speaker 1: tech in under siege. Really, I mean this, this horrific 186 00:09:44,720 --> 00:09:47,400 Speaker 1: tragedy at New Zealand what it means for big tech 187 00:09:47,440 --> 00:09:51,280 Speaker 1: companies like Facebook and Google, Instagram and whatnot. And of 188 00:09:51,320 --> 00:09:55,080 Speaker 1: course the latest on Boeing Emily Tech Sussman stays Terry 189 00:09:55,120 --> 00:09:58,480 Speaker 1: Sullivan's days. I'm Kevin Surreally. You can download the Sound 190 00:09:58,520 --> 00:10:01,800 Speaker 1: On podcast on Appali two at Bloomberg dot com or 191 00:10:01,880 --> 00:10:05,080 Speaker 1: by downloading the Bloomberg Business app. You can also find 192 00:10:05,160 --> 00:10:08,040 Speaker 1: us on Radio dot com and I Heart Radio. You're 193 00:10:08,080 --> 00:10:14,120 Speaker 1: listening to Bloomberg. This is Sound On with Kevin's here 194 00:10:14,160 --> 00:10:19,600 Speaker 1: relate on Bloomberg one and one seven m h D two, Baltimore. 195 00:10:21,720 --> 00:10:25,480 Speaker 1: We're talking about General Motors. President Trump is scheduled to 196 00:10:25,600 --> 00:10:28,640 Speaker 1: be in Ohio later this week. Coming up, we're gonna 197 00:10:28,679 --> 00:10:32,439 Speaker 1: hear from Congressman Tim Ryan, Democrat from Ohio. He's calling in. 198 00:10:32,920 --> 00:10:36,320 Speaker 1: Lawmakers are on recess to talk about General Motors. UH. 199 00:10:36,840 --> 00:10:42,199 Speaker 1: President Trump tweeting about GM earlier today, lambasting GM for 200 00:10:42,240 --> 00:10:46,160 Speaker 1: shutting down that Lord's Town, Ohio plant, UH, putting thousands 201 00:10:46,200 --> 00:10:50,080 Speaker 1: of workers out of a job. Meanwhile, it's it's more 202 00:10:50,160 --> 00:10:53,600 Speaker 1: fallout for Boeing, which seems to have been much more 203 00:10:53,640 --> 00:10:56,840 Speaker 1: transparent in the past week in terms of their investigation 204 00:10:57,360 --> 00:11:02,280 Speaker 1: and how things are developing following those too tragic, tragic, 205 00:11:02,960 --> 00:11:07,720 Speaker 1: tragic crashes involving the Boeing Company seven thirty seven Max Family. 206 00:11:08,160 --> 00:11:11,680 Speaker 1: They're still grounded those planes, according to some some public 207 00:11:11,760 --> 00:11:14,400 Speaker 1: reporting as all as some lawmakers that I've spoken with, 208 00:11:14,760 --> 00:11:18,560 Speaker 1: could be really until mid April until those planes are 209 00:11:18,600 --> 00:11:21,720 Speaker 1: up and rolling. Obviously, folks want to see that them 210 00:11:21,920 --> 00:11:24,800 Speaker 1: safely get off the ground earlier than that. A lot 211 00:11:24,880 --> 00:11:29,040 Speaker 1: of pressure from the international regulators now looking into how 212 00:11:29,679 --> 00:11:34,280 Speaker 1: the international regulatory regime trains their pilots. Remember that pilots 213 00:11:34,280 --> 00:11:37,800 Speaker 1: and other countries and airlines and other countries, their regulations 214 00:11:37,880 --> 00:11:42,520 Speaker 1: are stipulated by the overseeing country and whatnot. So a 215 00:11:42,559 --> 00:11:45,160 Speaker 1: lot of questions, not just for Boeing, not just for 216 00:11:45,240 --> 00:11:49,640 Speaker 1: the f a A, but also for international regulators as well. 217 00:11:49,760 --> 00:11:53,439 Speaker 1: And of course everyone just wants to understand what precisely 218 00:11:53,559 --> 00:11:57,480 Speaker 1: happened so that it doesn't happen again. And then meanwhile, 219 00:11:57,640 --> 00:12:00,600 Speaker 1: if all of that, you know, wasn't enough, you've got 220 00:12:00,760 --> 00:12:06,280 Speaker 1: big tech now suddenly under scrutiny. Facebook, Google, Instagram. Seventeen minutes, 221 00:12:06,360 --> 00:12:10,040 Speaker 1: that's my number of the day. Seventeen minutes was how 222 00:12:10,320 --> 00:12:14,199 Speaker 1: long the horrific tragedy in New Zealand at the mosque 223 00:12:14,880 --> 00:12:18,800 Speaker 1: was broadcast? Broadcast is the accurate word on the on 224 00:12:18,960 --> 00:12:22,200 Speaker 1: Facebook as a social media platform. Here to walk us 225 00:12:22,240 --> 00:12:25,439 Speaker 1: through all of these stories. Emily Tish Susman. She's former 226 00:12:25,559 --> 00:12:28,280 Speaker 1: vice president of Campaigns for the Center for American Progress 227 00:12:28,760 --> 00:12:31,520 Speaker 1: at Democratic Strategists and former staffer of the two thousand 228 00:12:31,600 --> 00:12:34,960 Speaker 1: and eight Obama campaign. Terry Sullivan is founding partner at 229 00:12:35,040 --> 00:12:39,160 Speaker 1: Firehouse Strategies public relations firm. He's also the former presidential 230 00:12:39,240 --> 00:12:42,880 Speaker 1: campaign manager back in Senator Marko Verbio. He's worked on 231 00:12:42,920 --> 00:12:48,320 Speaker 1: like a million I'm paraphrasing a million campaigns. Um, Terry, 232 00:12:48,480 --> 00:12:51,160 Speaker 1: I'll start with you. I mean, when when you look 233 00:12:51,240 --> 00:12:54,480 Speaker 1: at now, it feels like every time there's a tragedy, 234 00:12:54,600 --> 00:12:59,960 Speaker 1: whether it's domestic terrorism, whether it's international terrorism, the social media, 235 00:13:00,040 --> 00:13:05,760 Speaker 1: your platforms, which are so influential, are increasingly under a microscope. 236 00:13:06,080 --> 00:13:09,280 Speaker 1: Facebook has come out publicly and said that they were 237 00:13:09,320 --> 00:13:14,240 Speaker 1: alerted by New Zealand authorities police. Uh, and that's what 238 00:13:14,440 --> 00:13:17,000 Speaker 1: triggered them to be able to try to take this 239 00:13:17,160 --> 00:13:19,400 Speaker 1: content down. They've all scrubbed it or they've tried to, 240 00:13:19,520 --> 00:13:22,280 Speaker 1: but it still lingers on the Internet bottom line. From 241 00:13:22,320 --> 00:13:26,680 Speaker 1: a purely policy standpoint, what will it take for social 242 00:13:26,760 --> 00:13:31,000 Speaker 1: media companies to really get it? Yeah, look, I think 243 00:13:31,000 --> 00:13:34,360 Speaker 1: they're an impossible position because you know, in a situation 244 00:13:34,679 --> 00:13:36,079 Speaker 1: like this, you're like, well, how could you let that 245 00:13:36,160 --> 00:13:38,040 Speaker 1: go on? And you think this is you know, what 246 00:13:38,200 --> 00:13:40,120 Speaker 1: were you doing? And then you turn around and then 247 00:13:40,120 --> 00:13:44,800 Speaker 1: they get they get hit because they are uh pulling 248 00:13:44,880 --> 00:13:47,040 Speaker 1: things down and there I mean, this is obviously something 249 00:13:47,080 --> 00:13:49,439 Speaker 1: that shouldn't have been on the air. But at every 250 00:13:49,559 --> 00:13:53,120 Speaker 1: turn there either too critical, they're doing enough, they're not 251 00:13:53,200 --> 00:13:54,880 Speaker 1: doing enough, and they say, well, look let's without the 252 00:13:54,920 --> 00:13:57,400 Speaker 1: algorithms do it because that'll catch all this stuff, and 253 00:13:57,440 --> 00:13:59,760 Speaker 1: then the algorithms have bias in them. I think it's 254 00:13:59,800 --> 00:14:03,160 Speaker 1: really really tough. They're in a no win position here. 255 00:14:03,760 --> 00:14:05,440 Speaker 1: It does feel like at what point do we start 256 00:14:05,480 --> 00:14:08,160 Speaker 1: talking about them as public utilities? Like if they're trying 257 00:14:08,240 --> 00:14:10,360 Speaker 1: to be the platform for everything and they're trying to 258 00:14:10,440 --> 00:14:12,760 Speaker 1: be like the all connector and the place for information 259 00:14:12,880 --> 00:14:16,199 Speaker 1: and the place for community building, um, then at what 260 00:14:16,360 --> 00:14:18,599 Speaker 1: point do we start to treat them that way? It 261 00:14:18,800 --> 00:14:20,600 Speaker 1: is hard because I mean it's not just like you know, 262 00:14:20,800 --> 00:14:22,960 Speaker 1: water or electricity or things are like a little bit 263 00:14:23,000 --> 00:14:26,360 Speaker 1: more objective. It does involve people's actual you know, the 264 00:14:26,800 --> 00:14:29,960 Speaker 1: personality and preferences. That builds into the bias. But it 265 00:14:30,000 --> 00:14:31,880 Speaker 1: does feel like we have to move in that direction. Well, 266 00:14:32,720 --> 00:14:34,080 Speaker 1: it made to you, but I think there's a lot 267 00:14:34,120 --> 00:14:36,600 Speaker 1: of people that would disagree from that standpoint that. I mean, look, 268 00:14:36,840 --> 00:14:40,240 Speaker 1: I mean, you know, in a large sense, they are 269 00:14:41,000 --> 00:14:43,360 Speaker 1: how people get their information now there. They are the 270 00:14:43,440 --> 00:14:46,280 Speaker 1: news media in the most raw form. So when do 271 00:14:46,360 --> 00:14:49,200 Speaker 1: we make the media become a public utility. I mean, 272 00:14:49,240 --> 00:14:52,360 Speaker 1: there's awful things on TV well, right, but but I 273 00:14:52,480 --> 00:14:55,800 Speaker 1: think I think what's what's fascinating to both of your 274 00:14:55,840 --> 00:15:00,560 Speaker 1: points is that Terry just said, peep get their news 275 00:15:00,640 --> 00:15:04,000 Speaker 1: from social media, and so these are platforms, these are channels. 276 00:15:04,040 --> 00:15:06,280 Speaker 1: I mean the appropriate word is that live stream is 277 00:15:06,320 --> 00:15:09,200 Speaker 1: a broadcast. And so you know, I reached out to 278 00:15:09,280 --> 00:15:12,360 Speaker 1: a senior stafford, a Senator Mark Warner, a Democrat from Virginia, 279 00:15:13,120 --> 00:15:15,920 Speaker 1: of course, the top Democrat on the Senate Intelligence Committee, 280 00:15:16,360 --> 00:15:18,680 Speaker 1: and Senator Warner had put out this statement that said, 281 00:15:18,720 --> 00:15:22,280 Speaker 1: quote the rapid and wide scale dissemination of this hateful 282 00:15:22,360 --> 00:15:26,480 Speaker 1: content live streamed on Facebook uploaded on YouTube and amplified 283 00:15:26,520 --> 00:15:30,560 Speaker 1: on Reddit shows how easily the largest platforms can still 284 00:15:30,680 --> 00:15:34,160 Speaker 1: be misused. It's ever clearer that YouTube in particular has 285 00:15:34,280 --> 00:15:36,760 Speaker 1: yet to grapple with the role it has played in 286 00:15:36,840 --> 00:15:42,000 Speaker 1: facilitating radicalization and recruitment. Recruitment, Emily. Is what gives me 287 00:15:42,160 --> 00:15:47,960 Speaker 1: chills is how these American based companies, the Crown Jewels, 288 00:15:47,960 --> 00:15:50,280 Speaker 1: as Larry Cudlow frequently refers to them over at the 289 00:15:50,320 --> 00:15:54,160 Speaker 1: White House, which have done enormous brought about enormous cultural 290 00:15:54,280 --> 00:15:57,200 Speaker 1: change in the US. But to think, I mean, and 291 00:15:57,280 --> 00:16:00,880 Speaker 1: you hear this in their public interviews, this you as executives, 292 00:16:00,920 --> 00:16:03,080 Speaker 1: how could they have known when they started this and 293 00:16:03,320 --> 00:16:05,960 Speaker 1: what was at Harvard for Facebook Harvard dorm room, that 294 00:16:06,080 --> 00:16:10,400 Speaker 1: it would be used for for terrorism recruitment? And that's 295 00:16:10,400 --> 00:16:12,600 Speaker 1: where we are now, right, I mean, that really is 296 00:16:12,680 --> 00:16:16,120 Speaker 1: it's not just recruitment, but also the information about you know, 297 00:16:16,240 --> 00:16:19,440 Speaker 1: how to how to um like, how to guide on 298 00:16:19,600 --> 00:16:22,160 Speaker 1: you know, whether it's weapons, whether it's I mean, it's 299 00:16:22,240 --> 00:16:24,800 Speaker 1: it's truly horrifying. You know. If if their goal is 300 00:16:24,880 --> 00:16:28,160 Speaker 1: to create and solidified community, which I can extrapolate out 301 00:16:28,160 --> 00:16:30,720 Speaker 1: from their founding story, that was the way they guess 302 00:16:30,840 --> 00:16:32,760 Speaker 1: hot or not was a different one. But whatever, you know, 303 00:16:32,800 --> 00:16:34,120 Speaker 1: I mean, if they're if their goal is to you know, 304 00:16:34,280 --> 00:16:38,280 Speaker 1: create community, they found a you know, they created a 305 00:16:38,360 --> 00:16:41,160 Speaker 1: community for terrorism. I was gonna say, I think this 306 00:16:41,480 --> 00:16:45,360 Speaker 1: has less to do with with the platform and more 307 00:16:45,440 --> 00:16:47,680 Speaker 1: to do with our culture. What the hell is happening. 308 00:16:47,880 --> 00:16:49,680 Speaker 1: We're gonna come back to this because there's much more 309 00:16:49,720 --> 00:16:52,280 Speaker 1: to talk about on social media, big tech, general motors, 310 00:16:52,360 --> 00:16:56,040 Speaker 1: and Boeing coming up. Congressman Tim Ryan, he is the 311 00:16:56,160 --> 00:16:59,440 Speaker 1: politician caught in the middle of the GM plant. He's 312 00:16:59,480 --> 00:17:04,120 Speaker 1: calling in from his Youngstown, Ohio Congressional district. Panel stays 313 00:17:04,160 --> 00:17:07,480 Speaker 1: Emily Tish, Sussman Terry Sullivan. You can download the Sound 314 00:17:07,560 --> 00:17:10,399 Speaker 1: On podcast on iTunes, at Bloomberg dot com or by 315 00:17:10,440 --> 00:17:13,359 Speaker 1: downloading the Bloomberg Business app. You can also find us, 316 00:17:13,480 --> 00:17:15,960 Speaker 1: as well as my colleagues on Radio dot com and 317 00:17:16,119 --> 00:17:20,000 Speaker 1: I Heart Radio. I'm Kevin CERELLI you are listening to Bloomberg. 318 00:17:24,680 --> 00:17:29,760 Speaker 1: This is Sound On with Kevin's related on Bloomberg and 319 00:17:30,840 --> 00:17:35,080 Speaker 1: seven m h D two Boltimore. It's cold out there, folks, 320 00:17:35,359 --> 00:17:38,720 Speaker 1: but Monday is over and we're talking a lot today 321 00:17:38,840 --> 00:17:44,520 Speaker 1: about where else Ohio, Ohio Ohio. I'm Kevin Cerelli, Bloomberg 322 00:17:44,560 --> 00:17:48,440 Speaker 1: News Chief Washington correspondent for Bloomberg Television and Bloomberg Radio. 323 00:17:48,760 --> 00:17:52,320 Speaker 1: Emily Tish Sussman, former vice president of Campaigns for the 324 00:17:52,480 --> 00:17:55,840 Speaker 1: Center for American Progress. She's a Democratic strategist and former 325 00:17:55,880 --> 00:17:59,880 Speaker 1: staffer on the two thousand and eight Obama campaign at 326 00:18:00,080 --> 00:18:05,119 Speaker 1: Terry Sullivan is founding partner at Firehouse Strategies public relations firm. 327 00:18:05,240 --> 00:18:11,000 Speaker 1: He's the former Rubio presidential campaign manager in and Emily, 328 00:18:11,040 --> 00:18:13,359 Speaker 1: you and I were talking in the break about whether 329 00:18:13,520 --> 00:18:17,760 Speaker 1: or not Congressman Ryan might recalculate his political calculus and 330 00:18:17,920 --> 00:18:19,520 Speaker 1: jump into the race as a result of all this. 331 00:18:19,680 --> 00:18:22,400 Speaker 1: What do you think? I think definitely he um, He's 332 00:18:22,400 --> 00:18:24,440 Speaker 1: definitely been putting feelers out as to whether or not 333 00:18:24,600 --> 00:18:28,640 Speaker 1: he would be a candidate, a presidential candidate in UM. 334 00:18:28,680 --> 00:18:30,880 Speaker 1: You know, I been talking with people gathering their opinions. 335 00:18:31,119 --> 00:18:33,879 Speaker 1: I have to imagine with Senator Shared Brown from Ohio 336 00:18:34,040 --> 00:18:36,640 Speaker 1: not running, that changes calculation and makes him more likely 337 00:18:36,720 --> 00:18:41,520 Speaker 1: to run UM. And this I do really split Democrats 338 00:18:41,600 --> 00:18:45,560 Speaker 1: in Ohio. UM. Senator Sherry Brown is so beloved all 339 00:18:45,680 --> 00:18:47,280 Speaker 1: over the state that I think it would make it 340 00:18:47,400 --> 00:18:48,639 Speaker 1: hard for him they're kind of they would run in 341 00:18:48,680 --> 00:18:53,480 Speaker 1: sort of a similar lane. Um. But you know, if 342 00:18:53,520 --> 00:18:56,080 Speaker 1: he can really show that he has like very serious 343 00:18:56,160 --> 00:18:59,240 Speaker 1: grassroots support in Youngstown, it could really cut to the 344 00:18:59,359 --> 00:19:02,160 Speaker 1: heart of the the image that Trump paints themselves well 345 00:19:02,200 --> 00:19:03,960 Speaker 1: and Terry, it would put him I mean you know this. 346 00:19:04,040 --> 00:19:06,399 Speaker 1: I mean, you know Ohio better than anyone. I mean, 347 00:19:06,440 --> 00:19:09,920 Speaker 1: it would put him really from a grassroots situation, aligned 348 00:19:09,960 --> 00:19:11,800 Speaker 1: with union workers. But you'd have to go after the 349 00:19:11,880 --> 00:19:14,719 Speaker 1: same vote as as the former Vice president Joe Biden. No, well, 350 00:19:14,760 --> 00:19:18,119 Speaker 1: look exactly, but I think that that's the path to 351 00:19:18,240 --> 00:19:21,360 Speaker 1: victory for Democrats. It's just can any of those candidates 352 00:19:21,400 --> 00:19:23,480 Speaker 1: make it out of their crazy primary? You know, I 353 00:19:23,560 --> 00:19:26,040 Speaker 1: mean it's a it's a it's a race to the 354 00:19:26,240 --> 00:19:30,120 Speaker 1: left over a cliff On, you know, reparations for slavery, 355 00:19:30,240 --> 00:19:33,480 Speaker 1: healthcare for all green New Deal, and a unicorn writing 356 00:19:33,640 --> 00:19:35,920 Speaker 1: you know, in with it. But but do you think 357 00:19:36,240 --> 00:19:39,439 Speaker 1: it's nothing against unicorns? Do you think that it's again 358 00:19:39,560 --> 00:19:44,040 Speaker 1: pro unicorns? You know, like first, I mean, well another show, 359 00:19:45,400 --> 00:19:48,600 Speaker 1: do you think that that? Do you really think it 360 00:19:48,680 --> 00:19:51,120 Speaker 1: is a race? I mean, like in Iowa, for example, 361 00:19:52,200 --> 00:19:53,679 Speaker 1: is it really a race to the left? I mean, 362 00:19:53,760 --> 00:19:55,680 Speaker 1: we hear that in terms of the progressive base, but 363 00:19:55,720 --> 00:19:58,399 Speaker 1: if you go to upstate New Hampshire, no, I agree, 364 00:19:58,520 --> 00:20:00,680 Speaker 1: I absolutely agree. But I think the dynamics of the 365 00:20:00,800 --> 00:20:04,359 Speaker 1: race are a little bit different this time because, I 366 00:20:04,440 --> 00:20:06,400 Speaker 1: mean we're seeing how it's they're running to the left. 367 00:20:06,440 --> 00:20:09,359 Speaker 1: They all embrace the Green New Deal, and which no 368 00:20:09,400 --> 00:20:11,200 Speaker 1: one knows what the Green New Deal is. By the way, 369 00:20:11,440 --> 00:20:17,359 Speaker 1: it's principles, right, what like, Okay, what does that mean? Seriously? 370 00:20:17,520 --> 00:20:20,280 Speaker 1: What what specifically is the Green New Deal? Right? So 371 00:20:20,320 --> 00:20:23,080 Speaker 1: it's not specific legislation, it's principles on the fact that 372 00:20:23,119 --> 00:20:25,840 Speaker 1: we need to be rethinking, to be proactive on climate 373 00:20:25,920 --> 00:20:28,000 Speaker 1: change and thinking about creating jobs in that sector, which 374 00:20:28,040 --> 00:20:30,280 Speaker 1: I actually think a lot of people are for sorry, 375 00:20:30,320 --> 00:20:32,440 Speaker 1: not in that sector, but in particular sectors that would 376 00:20:32,960 --> 00:20:35,639 Speaker 1: uh that could boom in a new economy, and I 377 00:20:35,720 --> 00:20:39,040 Speaker 1: think that a lot of people are actually for that. Well, yeah, 378 00:20:39,440 --> 00:20:42,879 Speaker 1: people are for a you know, innovation in in uh 379 00:20:43,560 --> 00:20:46,800 Speaker 1: energy and clean energy, but not that's not the Green 380 00:20:46,840 --> 00:20:48,520 Speaker 1: New Deals about the Green New Deal talks about health 381 00:20:48,560 --> 00:20:51,719 Speaker 1: care for everyone in the plan, a job for everyone. Uh. 382 00:20:51,800 --> 00:20:54,280 Speaker 1: It has I mean, it just has these absurd things. 383 00:20:54,560 --> 00:20:57,640 Speaker 1: No carbon emissions in less than a decade at all zero. 384 00:20:57,720 --> 00:21:00,159 Speaker 1: Nobody driving a car. We're all riding a horse. This 385 00:21:01,000 --> 00:21:03,040 Speaker 1: no one's riding a horse, but we also do still 386 00:21:03,119 --> 00:21:06,960 Speaker 1: in two thousand nineteen technical glitches. Congressman Tim Ryan, Democrat 387 00:21:07,000 --> 00:21:09,720 Speaker 1: from Ohio, we have figured out our technical difficulty. We 388 00:21:09,840 --> 00:21:12,720 Speaker 1: are very grateful for your patients. Sir, thanks for calling in. 389 00:21:12,840 --> 00:21:16,480 Speaker 1: We were talking about GM now in battle with President Trump. 390 00:21:16,760 --> 00:21:18,400 Speaker 1: I know this is a busy day for you, it's 391 00:21:18,400 --> 00:21:23,200 Speaker 1: a busy week. Where do things go from here? Well, 392 00:21:23,240 --> 00:21:26,440 Speaker 1: we're not sure. I mean, you know, evidently the President 393 00:21:26,520 --> 00:21:30,399 Speaker 1: wanted to inject himself. He saw the local labor union 394 00:21:31,200 --> 00:21:34,640 Speaker 1: leader on Fox News. I didn't like something he said, 395 00:21:34,760 --> 00:21:38,720 Speaker 1: and so he started getting involved, firing off tweets against 396 00:21:38,800 --> 00:21:41,959 Speaker 1: the labor leader. So I don't know exactly where we are. 397 00:21:42,040 --> 00:21:45,560 Speaker 1: I know we've been working closely with GM on repurposing 398 00:21:45,640 --> 00:21:48,399 Speaker 1: that plant or getting someone else in there, but no 399 00:21:48,680 --> 00:21:51,280 Speaker 1: no news as of yet. What would it be repurposed for? 400 00:21:51,520 --> 00:21:53,800 Speaker 1: Because that that was a big something we were talking 401 00:21:53,840 --> 00:21:56,240 Speaker 1: about earlier in the show is how do you go 402 00:21:56,440 --> 00:21:59,119 Speaker 1: into towns like Jones Soun, Ohio, which is very similar 403 00:21:59,160 --> 00:22:02,200 Speaker 1: to where I grew up outside of Philadelphia and convince 404 00:22:02,680 --> 00:22:07,680 Speaker 1: folks that things have to be repurposed. Well, if there's 405 00:22:07,720 --> 00:22:09,479 Speaker 1: a job at the end. I think this has been 406 00:22:09,560 --> 00:22:13,720 Speaker 1: the folly with a job retraining. You know, through campaigns 407 00:22:13,760 --> 00:22:15,440 Speaker 1: that will train you for a new job, will train 408 00:22:15,520 --> 00:22:17,480 Speaker 1: you for a new job, and those jobs never came. 409 00:22:17,520 --> 00:22:19,920 Speaker 1: I think what's important is to say, hey, the job's coming, 410 00:22:20,520 --> 00:22:22,920 Speaker 1: here's how we're going to retrain you. I personally think 411 00:22:23,359 --> 00:22:26,600 Speaker 1: we need to make a really strong move around electric vehicles. 412 00:22:26,760 --> 00:22:29,399 Speaker 1: There's about two million electric vehicles now, there's gonna be 413 00:22:29,520 --> 00:22:32,920 Speaker 1: thirty million in the next ten years. China owns about 414 00:22:33,920 --> 00:22:37,480 Speaker 1: the market we in the US have. I think this 415 00:22:37,720 --> 00:22:42,000 Speaker 1: is a great opportunity for us to do public private partnerships, 416 00:22:42,200 --> 00:22:45,399 Speaker 1: saying in America we want to dominate the electric vehicle market. 417 00:22:45,880 --> 00:22:48,159 Speaker 1: And I hope that's the direction we could go in. 418 00:22:48,280 --> 00:22:51,159 Speaker 1: People in Youngstown would be extremely excited about working in 419 00:22:51,240 --> 00:22:55,080 Speaker 1: a plant that has that kind of future growth opportunities, 420 00:22:55,160 --> 00:22:56,879 Speaker 1: and I hope we moved down that road. I mean, 421 00:22:56,960 --> 00:22:59,280 Speaker 1: we'll take a truck for sure. That's going to get 422 00:22:59,320 --> 00:23:02,120 Speaker 1: people back to work now. And if that doesn't work out, 423 00:23:02,280 --> 00:23:05,520 Speaker 1: I think we go big into the future. Congressman Tim Ryan, 424 00:23:05,640 --> 00:23:09,400 Speaker 1: Democrat from Ohio, joining us on the phone. We're talking 425 00:23:09,480 --> 00:23:14,159 Speaker 1: about his the latest fallout from the GM decision to 426 00:23:14,240 --> 00:23:17,240 Speaker 1: shut down their their Lords Town plant. You know, I 427 00:23:17,359 --> 00:23:20,760 Speaker 1: was struck by President Trump calling out David Green. He 428 00:23:20,840 --> 00:23:24,400 Speaker 1: has the Democrat U a W Local Chapter one one 429 00:23:24,560 --> 00:23:27,720 Speaker 1: one to President David Green. And I spoke with him 430 00:23:27,760 --> 00:23:30,960 Speaker 1: earlier today to get his take on just sort of 431 00:23:31,320 --> 00:23:34,600 Speaker 1: how he's doing. And essentially he's got this new headache 432 00:23:34,600 --> 00:23:40,639 Speaker 1: because President Trump tweeted out earlier he said Democrats U 433 00:23:40,720 --> 00:23:43,320 Speaker 1: a W Local one one one to President David Green, 434 00:23:43,400 --> 00:23:46,879 Speaker 1: ought to get his act together and produce. GM let 435 00:23:46,920 --> 00:23:49,800 Speaker 1: our country down, but other much better car companies are 436 00:23:49,840 --> 00:23:52,920 Speaker 1: coming into the US and droves. I want action on 437 00:23:53,119 --> 00:23:57,040 Speaker 1: Lord's Town fast. Stop complaining and get the job done. 438 00:23:57,320 --> 00:24:02,560 Speaker 1: Is David Green complaining, Congressman, I've not heard him complain. 439 00:24:02,680 --> 00:24:05,080 Speaker 1: I think he's out there rallying the community. I just 440 00:24:05,160 --> 00:24:07,800 Speaker 1: want your listeners and you that are there in the 441 00:24:07,920 --> 00:24:10,480 Speaker 1: in the studio to think about this. Here's a local 442 00:24:10,760 --> 00:24:14,120 Speaker 1: labor leader. We had three shifts at this plant, then 443 00:24:14,160 --> 00:24:16,160 Speaker 1: it went down to two shifts. Now it's one. Plant 444 00:24:17,080 --> 00:24:21,480 Speaker 1: workers just got news right after thinking that that this 445 00:24:21,880 --> 00:24:24,959 Speaker 1: car was no longer going to be made in Lordstown family. 446 00:24:25,160 --> 00:24:28,200 Speaker 1: Hundreds of families have moved out of the community. Some 447 00:24:28,440 --> 00:24:31,560 Speaker 1: have split where the one parent goes to Michigan or 448 00:24:31,600 --> 00:24:34,880 Speaker 1: Tennessee or somewhere else to work while the kids stay home. 449 00:24:35,320 --> 00:24:39,320 Speaker 1: This has ripped our community apart. And Dave Green is 450 00:24:39,400 --> 00:24:43,359 Speaker 1: in the middle of the pain, the anxiety, the uncertainty. 451 00:24:43,800 --> 00:24:45,840 Speaker 1: Even if you left it, you make the right decision. 452 00:24:46,280 --> 00:24:48,440 Speaker 1: He's been at the forefront of that. This is a 453 00:24:48,600 --> 00:24:51,879 Speaker 1: you know, a forty forty seven year old kid who 454 00:24:52,000 --> 00:24:55,240 Speaker 1: cares about his community, cares about his union, cares about 455 00:24:55,280 --> 00:24:57,800 Speaker 1: general motors. And in the in the middle of this, 456 00:24:58,400 --> 00:25:01,120 Speaker 1: the President of the United States, the most powerful person 457 00:25:01,160 --> 00:25:03,800 Speaker 1: in the world, comes in and kicks them and the teeth. Now, 458 00:25:04,240 --> 00:25:06,159 Speaker 1: if that doesn't tell you all you need to know 459 00:25:06,240 --> 00:25:09,240 Speaker 1: about Donald Trump, I don't know what else is out there. So, 460 00:25:09,440 --> 00:25:11,639 Speaker 1: I mean, that's the kind of leader he is. So 461 00:25:11,880 --> 00:25:14,119 Speaker 1: so we'll we'll help us define that. I mean, what 462 00:25:14,320 --> 00:25:17,040 Speaker 1: what kind of leader? From your perspective, Congressman, and I've 463 00:25:17,080 --> 00:25:20,720 Speaker 1: interviewed you several times, Congressman Tim Ryan, Democrat from Ohio. 464 00:25:21,440 --> 00:25:25,680 Speaker 1: You know you're representing a constituency and you know this 465 00:25:26,200 --> 00:25:29,719 Speaker 1: where you have folks who previously voted for Obama then 466 00:25:29,800 --> 00:25:32,679 Speaker 1: they voted for President Trump. I mean, you're you're at 467 00:25:33,080 --> 00:25:36,560 Speaker 1: ground zero of the economic argument right now of the 468 00:25:36,640 --> 00:25:41,480 Speaker 1: political discourse in America. So what type of leader do 469 00:25:41,680 --> 00:25:45,200 Speaker 1: you think as we start this cycle people are really 470 00:25:45,240 --> 00:25:48,040 Speaker 1: going to be looking for to navigate through these economic times. 471 00:25:49,480 --> 00:25:52,399 Speaker 1: Who's going to bring us together? Uh? You know, we 472 00:25:52,560 --> 00:25:55,600 Speaker 1: we don't need to be focusing on people who are recalcitrant. 473 00:25:55,680 --> 00:25:57,679 Speaker 1: We need to be focusing on the people who can 474 00:25:57,760 --> 00:26:02,120 Speaker 1: move usward. And that's holding an economy where the workers 475 00:26:02,200 --> 00:26:04,680 Speaker 1: are cut in on the deal. And the President of 476 00:26:04,720 --> 00:26:07,680 Speaker 1: the United States should have had the union and in 477 00:26:07,800 --> 00:26:11,800 Speaker 1: management and GM all at at the White House saying, 478 00:26:11,880 --> 00:26:14,840 Speaker 1: how do we dominate the electric vehicle market? It's it's 479 00:26:15,000 --> 00:26:17,879 Speaker 1: it's gonna have huge potential, tens of millions of cars. 480 00:26:18,280 --> 00:26:20,639 Speaker 1: Who's going to make the batteries to go in these cars. 481 00:26:20,760 --> 00:26:23,560 Speaker 1: Who's gonna do the fill up stations or the new 482 00:26:23,680 --> 00:26:26,280 Speaker 1: charge stations, which is gonna be a trillion dollar industry 483 00:26:26,320 --> 00:26:28,960 Speaker 1: over the next ten of twenty years. Who's going to 484 00:26:29,080 --> 00:26:31,399 Speaker 1: dominate that? And how do we cut workers in on 485 00:26:31,480 --> 00:26:33,879 Speaker 1: the deal? That's with this president. That that was I 486 00:26:33,920 --> 00:26:36,959 Speaker 1: will tell you this, that was the hope for this president. Right. 487 00:26:37,040 --> 00:26:40,560 Speaker 1: He gave money to Democrats. You know, he supported Hillary 488 00:26:40,600 --> 00:26:42,879 Speaker 1: Clinton in the past, but he was running as a Republican, 489 00:26:42,960 --> 00:26:45,280 Speaker 1: but everybody thought he was an independent. He was going 490 00:26:45,320 --> 00:26:48,000 Speaker 1: to pull the country together. He did not do that. 491 00:26:48,240 --> 00:26:50,080 Speaker 1: Everyone thought he was going to do that, and those 492 00:26:50,119 --> 00:26:52,480 Speaker 1: Obama voters who voted for him thought that he was 493 00:26:52,520 --> 00:26:54,600 Speaker 1: going to do that, and now he's kicking their labor 494 00:26:54,840 --> 00:26:57,119 Speaker 1: union leader in the teeth. So I think bringing people 495 00:26:57,160 --> 00:27:00,119 Speaker 1: together around some big policy initiatives and the United at 496 00:27:00,160 --> 00:27:02,760 Speaker 1: States is what the president should be doing. And what's 497 00:27:02,760 --> 00:27:05,080 Speaker 1: your message to Mary barras CEO of GM, how do 498 00:27:05,119 --> 00:27:09,640 Speaker 1: you how do you think she's handling all this? Well, 499 00:27:10,040 --> 00:27:12,159 Speaker 1: my message to her would be very direct. And this 500 00:27:12,320 --> 00:27:16,400 Speaker 1: is complicated, like most people's lives are. Like I'm extremely 501 00:27:16,480 --> 00:27:19,359 Speaker 1: upset at General Motors. Upset as the polite word I 502 00:27:19,520 --> 00:27:22,320 Speaker 1: use um. But you know what, they still have car 503 00:27:22,440 --> 00:27:25,800 Speaker 1: dealerships and that are hiring people in our community. They 504 00:27:26,000 --> 00:27:29,040 Speaker 1: we have a lot of pensioneers that that draw General 505 00:27:29,119 --> 00:27:32,159 Speaker 1: Motors pension in our community. And so we don't want 506 00:27:32,240 --> 00:27:34,240 Speaker 1: General Motors to fail. We want them to be a 507 00:27:34,280 --> 00:27:38,000 Speaker 1: strong company. I would just say, look, if taxpayer helped 508 00:27:38,040 --> 00:27:42,040 Speaker 1: you survive when you couldn't, this community has supported you 509 00:27:42,119 --> 00:27:45,760 Speaker 1: since nineteen Cut us in on the future general motors, 510 00:27:45,880 --> 00:27:49,760 Speaker 1: go big, go in electric vehicles, whatever direction you're going, 511 00:27:49,840 --> 00:27:53,000 Speaker 1: and cut us in on the deal, and let's start 512 00:27:53,080 --> 00:27:57,200 Speaker 1: to make capitalism work. That's not just just about the shareholder, 513 00:27:57,760 --> 00:28:01,920 Speaker 1: but about the stakeholders, workers, the environment, the supply chain. 514 00:28:02,080 --> 00:28:04,639 Speaker 1: That's got to be the next phase of capitalism or 515 00:28:04,760 --> 00:28:07,399 Speaker 1: it's just not going to work the next phase of capitalism. 516 00:28:07,440 --> 00:28:11,879 Speaker 1: Congressman Tim Ryan, Democrat representing Jonestown, Ohio, you've you've you 517 00:28:12,000 --> 00:28:14,159 Speaker 1: said this publicly, but I will ask you. I mean, 518 00:28:14,520 --> 00:28:17,119 Speaker 1: how does what's going on with GM factor into your 519 00:28:17,200 --> 00:28:22,400 Speaker 1: decision about whether or not you will enter into presidential race? Well, 520 00:28:22,800 --> 00:28:24,520 Speaker 1: you know, I'd be lying if I didn't say it 521 00:28:24,840 --> 00:28:28,240 Speaker 1: had some effects on me. Uh, you know, more so 522 00:28:29,720 --> 00:28:31,720 Speaker 1: from a personal level. I mean, I've got relatives that 523 00:28:31,800 --> 00:28:34,960 Speaker 1: work out at that plan and friends and watching this 524 00:28:35,160 --> 00:28:39,040 Speaker 1: unravel and I've been watching this for a long time. 525 00:28:39,160 --> 00:28:42,840 Speaker 1: I mean, this is this is the failure of leadership. 526 00:28:42,960 --> 00:28:45,440 Speaker 1: This is the failure of our our government at the 527 00:28:45,520 --> 00:28:48,600 Speaker 1: highest levels to really make a commitment to workers and 528 00:28:49,000 --> 00:28:52,120 Speaker 1: and you know, businesses and communities like mine to say, look, 529 00:28:52,200 --> 00:28:55,960 Speaker 1: you matter. You know the industrial Midwest, you matter. You're 530 00:28:55,960 --> 00:28:59,800 Speaker 1: not fly over country. You're part of the economy. And 531 00:29:00,040 --> 00:29:03,320 Speaker 1: I see us missing the boat, missing opportunities to cut 532 00:29:03,400 --> 00:29:06,680 Speaker 1: these people in and and so that it has had 533 00:29:06,720 --> 00:29:08,240 Speaker 1: an effect on me. I don't know what I'm gonna 534 00:29:08,320 --> 00:29:09,920 Speaker 1: end up doing. I think I need to make a 535 00:29:10,000 --> 00:29:12,280 Speaker 1: decision here in a couple of weeks. I'm continuing to 536 00:29:12,320 --> 00:29:15,200 Speaker 1: go out to talk to people, but just emotionally, Yeah, 537 00:29:15,280 --> 00:29:18,320 Speaker 1: this has had a big impact on me and my family. 538 00:29:18,680 --> 00:29:20,720 Speaker 1: And I got one more question for it, in particular, 539 00:29:20,800 --> 00:29:24,160 Speaker 1: as you describe Youngestown, Ohio, which I said, congressmen, very 540 00:29:24,240 --> 00:29:27,440 Speaker 1: similar to Delaware County, Pennsylvania, where I grew up outside 541 00:29:27,440 --> 00:29:30,040 Speaker 1: of Philadelphia. And I think a lot of times in 542 00:29:30,160 --> 00:29:36,320 Speaker 1: cities people mischaracterized that that folks are incredibly fired up. 543 00:29:36,360 --> 00:29:38,520 Speaker 1: I mean, they're motivated no matter what party they're and 544 00:29:38,560 --> 00:29:41,640 Speaker 1: they're not like, you know, sitting there with a glaze 545 00:29:41,720 --> 00:29:47,000 Speaker 1: over their eyes. They want to work. No, yeah, I 546 00:29:47,080 --> 00:29:49,720 Speaker 1: mean that that's that's exactly what people want to work. 547 00:29:50,360 --> 00:29:52,080 Speaker 1: And I always say, you know, I try to represent 548 00:29:52,160 --> 00:29:54,320 Speaker 1: the people who take a shower after work. This this 549 00:29:54,600 --> 00:29:57,400 Speaker 1: idea that there's so many people that that don't want 550 00:29:57,400 --> 00:29:59,400 Speaker 1: to work they want to draw a paycheck. I think 551 00:29:59,480 --> 00:30:02,840 Speaker 1: that that is a political comment to try to make 552 00:30:02,920 --> 00:30:05,680 Speaker 1: Democrats look like we're only for people who don't work. 553 00:30:06,080 --> 00:30:08,600 Speaker 1: The vast majority of people want to go to work. 554 00:30:08,680 --> 00:30:10,360 Speaker 1: They want to earn a living, but they don't want 555 00:30:10,360 --> 00:30:12,120 Speaker 1: to earn a good living, and they want it. They 556 00:30:12,160 --> 00:30:14,880 Speaker 1: wanted to be fair. You know, these folks that worked 557 00:30:14,880 --> 00:30:17,800 Speaker 1: out at General Motors, they worked really, really hard for 558 00:30:17,880 --> 00:30:20,560 Speaker 1: a real long time, and they can afford a small 559 00:30:20,640 --> 00:30:23,920 Speaker 1: little boat or a small little cottage in addition to 560 00:30:24,000 --> 00:30:26,040 Speaker 1: their house. They could send their kids to school. They 561 00:30:26,080 --> 00:30:28,560 Speaker 1: didn't want They didn't want a yacht. They didn't want 562 00:30:28,560 --> 00:30:30,200 Speaker 1: to you know, they didn't want to build a house 563 00:30:30,240 --> 00:30:33,880 Speaker 1: on the lake necessarily that that was a mansion. They 564 00:30:33,960 --> 00:30:36,200 Speaker 1: just wanted. They want a nice life. They want to 565 00:30:36,280 --> 00:30:38,280 Speaker 1: work hard, played by the rules, and have a nice life. 566 00:30:38,680 --> 00:30:41,440 Speaker 1: And I've given the opportunity. I think most people would 567 00:30:41,480 --> 00:30:45,080 Speaker 1: take advantage of that. Congressman Tim Ryan, Democrat representing Youngstown, Ohio, 568 00:30:45,160 --> 00:30:47,880 Speaker 1: which by the way, has great Italian food. People don't 569 00:30:47,880 --> 00:30:51,120 Speaker 1: know that about you there's a great Italian food out there. 570 00:30:51,440 --> 00:30:53,520 Speaker 1: As half Italian guy, I think I know a thing 571 00:30:53,640 --> 00:30:55,480 Speaker 1: or two about it if I do say so, And 572 00:30:55,600 --> 00:30:58,160 Speaker 1: I love some of the Italian gravy that I get 573 00:30:58,640 --> 00:31:01,440 Speaker 1: out in Youngstown. Congressman, thanks for being generous with your 574 00:31:01,480 --> 00:31:03,160 Speaker 1: time on a very busy day. I'll talk with you 575 00:31:04,040 --> 00:31:07,160 Speaker 1: later on coming up more on the fallout for GM 576 00:31:07,560 --> 00:31:12,200 Speaker 1: and Boeing. I'm Kevin Cerelli. You're listening to Bloomberg one. 577 00:31:13,160 --> 00:31:18,240 Speaker 1: This is sound On with Kevin's related on Bloomberg and 578 00:31:18,360 --> 00:31:23,320 Speaker 1: one point seven of m h D two Boltimore fall 579 00:31:23,360 --> 00:31:26,800 Speaker 1: out for big businesses today, general motors versus President Trump, 580 00:31:26,880 --> 00:31:31,040 Speaker 1: big tech versus Democrats and Republicans following New Zealand and 581 00:31:31,160 --> 00:31:35,480 Speaker 1: Boeing still under investigation. We just heard from Congressman Tim Ryan, 582 00:31:35,560 --> 00:31:40,440 Speaker 1: a Democrat representing Youngstown, Ohio, who told us about how 583 00:31:40,640 --> 00:31:44,200 Speaker 1: GM is impacting his decision about whether or not he'll 584 00:31:44,240 --> 00:31:48,440 Speaker 1: get into the presidential race. I'm Kevin Cerelli, Bloomberg News 585 00:31:48,680 --> 00:31:53,160 Speaker 1: Chief Washington correspondent for Bloomberg Television and Bloomberg Radio. My 586 00:31:53,320 --> 00:31:57,400 Speaker 1: guests are Emily Tisch Sussman, former VP of Campaigns for 587 00:31:57,480 --> 00:32:01,440 Speaker 1: the Center for American Progress, Democrat strategists and former stafford 588 00:32:01,480 --> 00:32:05,760 Speaker 1: on the OH eight Obama campaign, and Terry Sullivan founding 589 00:32:05,840 --> 00:32:10,280 Speaker 1: partner at Firehouse Strategies PR firm. He's the former presidential 590 00:32:10,400 --> 00:32:15,440 Speaker 1: campaign manager to Senator Marco Rubio during the campaign and 591 00:32:15,480 --> 00:32:19,880 Speaker 1: has orchestrated hundreds right hundreds of campaigns, worked on hundreds 592 00:32:19,920 --> 00:32:24,320 Speaker 1: of campaigns of Republican campaigns during his career. Also an 593 00:32:24,360 --> 00:32:29,200 Speaker 1: avid out hi hiking hikesman, hikesman. You know what it 594 00:32:29,200 --> 00:32:31,880 Speaker 1: should it should be? Should we make up words? Sometimes 595 00:32:31,960 --> 00:32:35,680 Speaker 1: on sound us is made here, Thank you, thank you. 596 00:32:36,280 --> 00:32:38,120 Speaker 1: That's the goal. We're not just reporting it, we're making 597 00:32:38,160 --> 00:32:40,640 Speaker 1: you know. But but we like to we like I 598 00:32:40,720 --> 00:32:44,320 Speaker 1: don't like to be the news like ever. Actually I would. Yeah, 599 00:32:44,760 --> 00:32:47,640 Speaker 1: but we just heard from from Congressman and I was struck, Terry, 600 00:32:47,680 --> 00:32:50,760 Speaker 1: we were talking just a couple of seconds ago. I 601 00:32:50,920 --> 00:32:56,160 Speaker 1: was struck to see just how impacted this GM fallout 602 00:32:56,280 --> 00:32:58,520 Speaker 1: is on ground zero in Youngstown, Ohio. And if you've 603 00:32:58,520 --> 00:33:04,120 Speaker 1: never been to Youngstown, it really is the battleground illustration 604 00:33:04,760 --> 00:33:10,560 Speaker 1: for every economic story that we talked about here at Bloomberg. Yeah. Look, absolutely, 605 00:33:10,760 --> 00:33:12,320 Speaker 1: and you know I've spent a lot of time in 606 00:33:12,400 --> 00:33:14,920 Speaker 1: Detroit as well, which is the exact same thing where 607 00:33:14,960 --> 00:33:19,280 Speaker 1: you see the impact of of of the auto industries 608 00:33:20,040 --> 00:33:22,480 Speaker 1: decline over over the years, at least in the United States, 609 00:33:23,080 --> 00:33:28,360 Speaker 1: and that has real political ramifications, and both both sides 610 00:33:28,440 --> 00:33:30,640 Speaker 1: politically are trying to play it to their advantage. And 611 00:33:30,800 --> 00:33:34,479 Speaker 1: so Emily as you look as as a staffer, as 612 00:33:34,520 --> 00:33:37,680 Speaker 1: someone who knows the field very well in terms of 613 00:33:37,800 --> 00:33:41,480 Speaker 1: of all of this. And I'm gonna steal credit for 614 00:33:41,520 --> 00:33:44,520 Speaker 1: what Terry said when when the mics were down was 615 00:33:44,600 --> 00:33:47,080 Speaker 1: essentially Congressman Ryan would have to be going up against 616 00:33:47,560 --> 00:33:51,320 Speaker 1: Biden's lane. No, Yeah, that really would be the kind 617 00:33:51,360 --> 00:33:54,840 Speaker 1: of the lane that he's running in the betto betto 618 00:33:55,600 --> 00:33:58,840 Speaker 1: kind of, although he's running as more of a like 619 00:33:59,080 --> 00:34:03,000 Speaker 1: tap into the people kind of energy. Um. I think 620 00:34:03,040 --> 00:34:06,760 Speaker 1: the difference between the difference between where Ryan would run 621 00:34:06,920 --> 00:34:10,080 Speaker 1: versus Biden, UM. I mean, Biden obviously is much bigger 622 00:34:10,200 --> 00:34:12,840 Speaker 1: name recognition, more of like a visible track record. But 623 00:34:12,960 --> 00:34:15,800 Speaker 1: Ryan actually is from Youngstown, right, like he represents Youngstown 624 00:34:15,840 --> 00:34:18,600 Speaker 1: whereas Biden does not. Um. And so I imagine that 625 00:34:18,760 --> 00:34:21,759 Speaker 1: actually could be a bit of a contrast, right right. 626 00:34:21,760 --> 00:34:23,520 Speaker 1: I think I think he takes grant now I think 627 00:34:23,520 --> 00:34:27,879 Speaker 1: the whole Amtrak Northeast route can he would claim that now, Um, 628 00:34:28,840 --> 00:34:30,520 Speaker 1: but I would see that as being a little bit 629 00:34:30,520 --> 00:34:33,040 Speaker 1: of a contrast. And I think that Democrats, the thing 630 00:34:33,080 --> 00:34:35,560 Speaker 1: that a lot of Democrats care the most about is 631 00:34:35,600 --> 00:34:38,680 Speaker 1: who can beat Trump, and so people have more than 632 00:34:38,760 --> 00:34:42,360 Speaker 1: who aligns with their own personal uh, their own personal values. 633 00:34:42,400 --> 00:34:45,040 Speaker 1: I think they care even more about who can beat Trump, 634 00:34:45,280 --> 00:34:47,200 Speaker 1: and so people fall on different sides of how Biden 635 00:34:47,200 --> 00:34:50,800 Speaker 1: would do that. A former staffer on the Owait Obama campaign, 636 00:34:50,920 --> 00:34:55,120 Speaker 1: Terry Sullivan, uh, Rubio's presidential campaign manager. Let's that's like 637 00:34:55,320 --> 00:34:58,920 Speaker 1: there's been so much banner, it's Monday right over. I 638 00:34:59,120 --> 00:35:03,480 Speaker 1: was struck by Senator Clobachar who's kind of throwing some 639 00:35:03,640 --> 00:35:07,319 Speaker 1: shade at Better O'Rourke's comments. I guess Vanity Fair. He's 640 00:35:07,360 --> 00:35:10,880 Speaker 1: on the cover of Vanity Fair with like he's like 641 00:35:11,000 --> 00:35:15,919 Speaker 1: an outdoorsman, not not like h he's is it a jeep, 642 00:35:15,920 --> 00:35:17,560 Speaker 1: I don't know, maybe not a Chevy cruise, but he's 643 00:35:17,560 --> 00:35:19,920 Speaker 1: on Vanity Fair. Is the opposite of a hikesman, a ridesman. 644 00:35:21,360 --> 00:35:23,520 Speaker 1: Just but but he said he was born to run 645 00:35:23,600 --> 00:35:25,960 Speaker 1: and he was born to do this was I mean 646 00:35:26,440 --> 00:35:28,759 Speaker 1: from your you know, as someone who worked on the 647 00:35:28,840 --> 00:35:31,839 Speaker 1: Obama campaign in oh eight, kind of jump in here 648 00:35:31,880 --> 00:35:35,160 Speaker 1: in terms of what was that smart for? I mean well, 649 00:35:35,239 --> 00:35:37,959 Speaker 1: I mean he himself be himself admitted that it wasn't smart, 650 00:35:37,960 --> 00:35:39,279 Speaker 1: and he said that he cringed when he saw it. 651 00:35:39,520 --> 00:35:41,800 Speaker 1: There is something about the idea that, oh they're breaking 652 00:35:41,880 --> 00:35:44,440 Speaker 1: the mold. It feels so different, like a different kind 653 00:35:44,520 --> 00:35:48,200 Speaker 1: of candidate. Well, I think there there is a comparable feeling, 654 00:35:48,280 --> 00:35:50,600 Speaker 1: like an emotional feeling about better. And by the way, 655 00:35:50,600 --> 00:35:52,120 Speaker 1: I'm not like a plug here for better, but I 656 00:35:52,160 --> 00:35:55,080 Speaker 1: do see I see my I see you know, I 657 00:35:55,160 --> 00:35:57,880 Speaker 1: see voters, I people in my circle, even staffers feeling 658 00:35:57,920 --> 00:36:00,920 Speaker 1: like they feel an emotional attachment to his idea though, 659 00:36:01,000 --> 00:36:04,120 Speaker 1: like what's his what's his policy agenda? Well, I think 660 00:36:04,160 --> 00:36:06,480 Speaker 1: that's been that has been a real question, especially the 661 00:36:06,560 --> 00:36:08,400 Speaker 1: first week out on the stuff when he was out 662 00:36:08,400 --> 00:36:10,320 Speaker 1: in Iowa and people wanted real specifics. I mean, you know, 663 00:36:10,400 --> 00:36:13,080 Speaker 1: he talked about baby bonds, which is actually Senator Booker's bill. 664 00:36:13,640 --> 00:36:18,200 Speaker 1: So when, by the way, he so interestingly he actually 665 00:36:18,280 --> 00:36:20,120 Speaker 1: has been two weekends ago. Now he hamp sure last 666 00:36:20,160 --> 00:36:23,239 Speaker 1: weekend in Iowa. Interestingly, his crowds were actually the same 667 00:36:23,360 --> 00:36:26,840 Speaker 1: size as Bedos, But because this is not his media moment, 668 00:36:27,080 --> 00:36:28,480 Speaker 1: it was not covered in the same I've seen this 669 00:36:28,560 --> 00:36:31,040 Speaker 1: movie before, I know how it ends. Here's here's the deal. 670 00:36:31,400 --> 00:36:33,960 Speaker 1: So you're saying there's a guy who's got no real policy, 671 00:36:34,120 --> 00:36:39,560 Speaker 1: no real experience, kind of a flake Trump. I didn't 672 00:36:39,560 --> 00:36:41,320 Speaker 1: even think about that. But how what are the chances 673 00:36:41,400 --> 00:36:44,000 Speaker 1: something like that could actually win the nominalate nomination, much 674 00:36:44,080 --> 00:36:47,000 Speaker 1: less the White House. Look, I mean, the guy plays 675 00:36:47,040 --> 00:36:50,960 Speaker 1: to people's emotions, and that matters in modern politics more 676 00:36:51,000 --> 00:36:53,600 Speaker 1: than anything else. And you can have the best policies 677 00:36:53,640 --> 00:36:55,480 Speaker 1: in the world, but you've got to play the emotions 678 00:36:55,480 --> 00:36:57,960 Speaker 1: and you've got to play the media game. Because to 679 00:36:58,080 --> 00:37:00,680 Speaker 1: your point, I mean, that's great, the booker has all 680 00:37:00,719 --> 00:37:03,720 Speaker 1: these crowds, but if a candidate falls in the woods 681 00:37:03,760 --> 00:37:06,799 Speaker 1: and no one's there to put it on MSNBC, doesn't matter. 682 00:37:07,480 --> 00:37:09,440 Speaker 1: And by the way, we've also seen this story before 683 00:37:09,520 --> 00:37:11,800 Speaker 1: of a candidate who has great policies and has no 684 00:37:11,920 --> 00:37:14,400 Speaker 1: emotional connection, and we also saw how that went right. 685 00:37:14,440 --> 00:37:16,040 Speaker 1: So do you want to get and I do want 686 00:37:16,080 --> 00:37:18,680 Speaker 1: to totally change change gears. We've got like two minutes, 687 00:37:18,680 --> 00:37:20,040 Speaker 1: but I do want to get both of your cakes 688 00:37:20,080 --> 00:37:22,880 Speaker 1: on what's going on with Boeing because this the investigation 689 00:37:23,040 --> 00:37:26,759 Speaker 1: is continuing, but there seems to be bipartisan consensus that 690 00:37:26,840 --> 00:37:30,720 Speaker 1: there needs to be some some oversight into what exactly 691 00:37:30,760 --> 00:37:33,120 Speaker 1: went wrong. But both of you advised businesses. Terry, I'll 692 00:37:33,160 --> 00:37:35,600 Speaker 1: start with you, what would what does Boeing need to do? 693 00:37:35,680 --> 00:37:38,279 Speaker 1: What does the FAA need to do UH to to 694 00:37:38,480 --> 00:37:41,520 Speaker 1: really kind of understand the international regulations as all of 695 00:37:41,600 --> 00:37:44,200 Speaker 1: this investigation continues. Yeah, it's really interesting. The f a 696 00:37:44,280 --> 00:37:48,400 Speaker 1: A normally UH calls balls and strikes. They use science 697 00:37:48,520 --> 00:37:51,480 Speaker 1: to make these decisions, and in this case, they made 698 00:37:51,520 --> 00:37:54,160 Speaker 1: a political decision and it was by pressure from from 699 00:37:54,239 --> 00:37:57,400 Speaker 1: my sources. What I understand, the President was very very 700 00:37:57,480 --> 00:38:00,279 Speaker 1: interested in this all weekend long in between two eats 701 00:38:00,880 --> 00:38:03,840 Speaker 1: and UH and and so are a lot of senators 702 00:38:03,880 --> 00:38:05,920 Speaker 1: on both sides of the aisle that we're demanding that 703 00:38:06,000 --> 00:38:08,560 Speaker 1: the fa I mean, they had and maybe they should 704 00:38:08,600 --> 00:38:10,920 Speaker 1: have grounded the planes here, but they had absolutely no 705 00:38:11,120 --> 00:38:14,360 Speaker 1: access to any information. It was all emotionally driven and 706 00:38:14,400 --> 00:38:18,080 Speaker 1: everyone's out there demanding the fa A ground UH this plane. 707 00:38:18,440 --> 00:38:20,320 Speaker 1: And so I think it's a really tough place for 708 00:38:20,360 --> 00:38:21,840 Speaker 1: a corporation to be in. But that's where we're at now, 709 00:38:21,880 --> 00:38:23,560 Speaker 1: all right, And do you think we've got less than 710 00:38:23,600 --> 00:38:25,480 Speaker 1: a minute? Do you think ultimately you're gonna we're gonna 711 00:38:25,480 --> 00:38:28,120 Speaker 1: see hearings on Capitol Hill with the f A. I 712 00:38:28,239 --> 00:38:30,839 Speaker 1: know it does feel likely. I mean, i'd say from 713 00:38:30,840 --> 00:38:33,360 Speaker 1: a PR perspective, if you're a corporation right now, you 714 00:38:33,400 --> 00:38:34,759 Speaker 1: just have to stop the bleeding, right like you just 715 00:38:34,840 --> 00:38:38,279 Speaker 1: have to stop creating news stories. Um. And the thing 716 00:38:38,360 --> 00:38:40,120 Speaker 1: that I think that we have yet to see is how, 717 00:38:40,560 --> 00:38:42,320 Speaker 1: if at all, the government shut down in the f 718 00:38:42,480 --> 00:38:45,680 Speaker 1: A place that's and that's a key the politics they're colliding. 719 00:38:45,719 --> 00:38:48,720 Speaker 1: I want to thank Emilita Sussman, former VP of Campaigns 720 00:38:48,760 --> 00:38:52,560 Speaker 1: for the Center for American Progress, democratic strategist, and of 721 00:38:52,600 --> 00:38:57,280 Speaker 1: course Terry Sullivan at Firehouse Strategies and a Republican strategist. 722 00:38:57,320 --> 00:38:59,759 Speaker 1: That's it for me. I'm Kevin CURRELLI tomorrow more on 723 00:39:00,080 --> 00:39:02,480 Speaker 1: yem Thanks for listening. This is Bloomberg