1 00:00:02,480 --> 00:00:07,000 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. 2 00:00:07,920 --> 00:00:10,559 Speaker 2: Let me tell you we have a new star. A 3 00:00:10,720 --> 00:00:14,680 Speaker 2: star is born Elan mars Jusan Kennemy. 4 00:00:14,880 --> 00:00:18,520 Speaker 1: He is the Thomas Edison plus plus plus of our age. 5 00:00:18,640 --> 00:00:21,040 Speaker 3: Probably his whole life is from a position of insecurity. 6 00:00:21,079 --> 00:00:21,800 Speaker 3: I feel for the guy. 7 00:00:22,040 --> 00:00:25,360 Speaker 2: I would say ninety eight percent really appreciate what he does. 8 00:00:25,400 --> 00:00:28,440 Speaker 2: But those two percent that are nasty, they are out 9 00:00:28,560 --> 00:00:29,880 Speaker 2: pay in full post. 10 00:00:30,280 --> 00:00:32,280 Speaker 1: We were meant for great things in the United States 11 00:00:32,320 --> 00:00:34,640 Speaker 1: of America, and Elon reminds us of that. 12 00:00:35,840 --> 00:00:38,640 Speaker 2: I'm very disappointed in Elan. I've helped Elan a lot. 13 00:00:46,520 --> 00:00:49,360 Speaker 1: Hey, David Papatoapple's here, hosts of E Laning, and this 14 00:00:49,479 --> 00:00:52,159 Speaker 1: week we're going to roll out another installment of our 15 00:00:52,280 --> 00:00:55,760 Speaker 1: Summer Jealousy series. This time we have co host Max 16 00:00:55,840 --> 00:00:59,200 Speaker 1: Chafkin interviewing wire reporter and friend of pod McKenna Kelly 17 00:00:59,320 --> 00:01:03,160 Speaker 1: about her eight reporting on all things Doge, past, present 18 00:01:03,200 --> 00:01:05,679 Speaker 1: and future. So, by the way, I'll just note that 19 00:01:05,680 --> 00:01:10,080 Speaker 1: this conversation was recorded before Edward Korstein, the Doge guy 20 00:01:10,200 --> 00:01:15,119 Speaker 1: known as Big Balls, was attacked in a carjacking in Washington, DC, 21 00:01:16,000 --> 00:01:18,920 Speaker 1: and before President Donald Trump responded to that incident by 22 00:01:18,959 --> 00:01:22,840 Speaker 1: threatening and then actually ordering the federal government to take 23 00:01:22,840 --> 00:01:27,480 Speaker 1: over the DC police. Okay, enough for me, enjoy the interview. 24 00:01:28,680 --> 00:01:31,760 Speaker 4: We're joined now by McKenna Kelly, who is a friend 25 00:01:31,760 --> 00:01:34,400 Speaker 4: of the show but also a senior writer at Wired. 26 00:01:34,520 --> 00:01:37,800 Speaker 4: She covers tech in politics, and listeners will know her 27 00:01:37,800 --> 00:01:40,640 Speaker 4: because for the past six months or so, McKenna has 28 00:01:40,680 --> 00:01:43,960 Speaker 4: been covering DOGE very closely, and we've talked her. 29 00:01:44,000 --> 00:01:45,880 Speaker 2: Before we talked to her, I think. 30 00:01:45,720 --> 00:01:48,480 Speaker 4: It was what in the beginning of the year about 31 00:01:48,520 --> 00:01:51,400 Speaker 4: this kind of crazy effort by Elon Musk to bring 32 00:01:51,440 --> 00:01:54,920 Speaker 4: these technologists into the government. But a lot's changed since then, 33 00:01:55,480 --> 00:01:58,280 Speaker 4: and we wanted to bring McKenna back on the podcast 34 00:01:58,440 --> 00:02:01,320 Speaker 4: to talk about what happened, what the legacy of DOGE 35 00:02:01,360 --> 00:02:03,040 Speaker 4: has been, and what comes next. 36 00:02:03,240 --> 00:02:04,640 Speaker 2: McKenna, thanks for joining us. 37 00:02:04,840 --> 00:02:06,560 Speaker 3: Yeah, it's great to be back, all right. 38 00:02:06,680 --> 00:02:09,200 Speaker 4: One of the reasons I wanted to do this is because, 39 00:02:09,720 --> 00:02:13,120 Speaker 4: you know, the Trump administration, like, there's this thing where 40 00:02:13,200 --> 00:02:16,000 Speaker 4: it's a reality show. Every day there's a new thing, 41 00:02:16,160 --> 00:02:18,799 Speaker 4: and and I think for a lot of people, DOGE 42 00:02:19,240 --> 00:02:22,040 Speaker 4: has sort of receded into the background, but this stuff 43 00:02:22,040 --> 00:02:25,560 Speaker 4: has been hugely consequential. 44 00:02:25,040 --> 00:02:26,880 Speaker 2: And I want to kind of take stock of it. 45 00:02:27,000 --> 00:02:30,239 Speaker 4: So just to start of all that's happened, big balls 46 00:02:30,280 --> 00:02:33,400 Speaker 4: of it, all the Elon Musk, all all the craziness. 47 00:02:33,400 --> 00:02:35,320 Speaker 4: Like what do you see as like the top line 48 00:02:35,400 --> 00:02:39,560 Speaker 4: consequence of like all of the headlines around DOGE over 49 00:02:39,600 --> 00:02:40,680 Speaker 4: the last six months or so. 50 00:02:41,200 --> 00:02:44,920 Speaker 3: Yeah, So, I mean looking at what the last few 51 00:02:44,919 --> 00:02:48,480 Speaker 3: months have brought from DOGE and Elon, and I think 52 00:02:48,520 --> 00:02:52,399 Speaker 3: even now with Elon out at the picture and leaving government, 53 00:02:52,919 --> 00:02:56,440 Speaker 3: I still feel like Doge has a lasting impression. And 54 00:02:56,480 --> 00:02:59,400 Speaker 3: I feel as if that big picture impression that we 55 00:02:59,400 --> 00:03:02,160 Speaker 3: can see across all agencies, across so many parts of 56 00:03:02,200 --> 00:03:06,120 Speaker 3: government is that it's being more run like a private 57 00:03:06,160 --> 00:03:09,240 Speaker 3: business than you know, what the government used to be 58 00:03:09,280 --> 00:03:11,520 Speaker 3: prior to this, and that comes with a lot of 59 00:03:11,560 --> 00:03:17,839 Speaker 3: different consequences and ramifications when it comes to hiring, staffing, contracting, 60 00:03:18,600 --> 00:03:20,680 Speaker 3: just a variety of things that the government does every 61 00:03:20,720 --> 00:03:23,080 Speaker 3: day being done in a fundamentally different way. 62 00:03:23,600 --> 00:03:27,120 Speaker 4: How do you evaluate the claims that Musk and others 63 00:03:27,200 --> 00:03:29,680 Speaker 4: in the Trump administration have made. So I was told 64 00:03:29,680 --> 00:03:32,160 Speaker 4: that DOGE was going to be incredibly transparent, and there 65 00:03:32,200 --> 00:03:34,920 Speaker 4: is a website doze dot govnor where it will tell you, 66 00:03:34,920 --> 00:03:36,880 Speaker 4: we'll give you like a number, like I think the 67 00:03:36,960 --> 00:03:39,960 Speaker 4: amount of savings right now is one hundred and ninety 68 00:03:40,040 --> 00:03:43,400 Speaker 4: nine billion. According to this website, there is a leader 69 00:03:43,440 --> 00:03:47,480 Speaker 4: board that I guess purports to show progress of which 70 00:03:47,600 --> 00:03:52,000 Speaker 4: agencies have saved the most. Has there been significant savings 71 00:03:52,200 --> 00:03:55,240 Speaker 4: as far as your reporting is shown, I think. 72 00:03:54,960 --> 00:03:57,840 Speaker 3: It's fair to say that we can put a number 73 00:03:57,880 --> 00:03:59,960 Speaker 3: on it. However, many billion, if it's one hundred and 74 00:04:00,280 --> 00:04:02,760 Speaker 3: nine billion, whatever it is. First of all, you know, 75 00:04:02,800 --> 00:04:04,920 Speaker 3: over the last six months has been hard to even 76 00:04:05,240 --> 00:04:07,560 Speaker 3: figure out if these numbers are legitimate. There's been so 77 00:04:07,600 --> 00:04:10,480 Speaker 3: many discrepancies, you know, trying to even just like the 78 00:04:10,560 --> 00:04:12,720 Speaker 3: numbers being completely wrong, the numbers that they pull and 79 00:04:12,760 --> 00:04:14,840 Speaker 3: put on that website right, and so it's hard to 80 00:04:14,880 --> 00:04:20,159 Speaker 3: take anything on there as fact. But I think the 81 00:04:20,200 --> 00:04:23,719 Speaker 3: biggest story about these savings, though, is that when you 82 00:04:23,760 --> 00:04:26,880 Speaker 3: look at what the government spends, so much of the 83 00:04:26,920 --> 00:04:29,920 Speaker 3: spending goes to defense, it goes to Medicare, it goes 84 00:04:29,960 --> 00:04:31,919 Speaker 3: to Social Security, and those are the things that the 85 00:04:31,960 --> 00:04:34,920 Speaker 3: administration didn't want to cut. So what does that leave you. 86 00:04:35,360 --> 00:04:38,160 Speaker 3: It leaves you with programs that the health and Human 87 00:04:38,200 --> 00:04:42,080 Speaker 3: Services agencies they leave you with cutting things like the 88 00:04:42,120 --> 00:04:45,800 Speaker 3: PEP far and treating AIDS across you know, across the globe. 89 00:04:46,240 --> 00:04:49,560 Speaker 3: And so what we see more so is this refusal 90 00:04:49,640 --> 00:04:52,240 Speaker 3: to make these cuts, you know, in different places, which 91 00:04:52,320 --> 00:04:55,640 Speaker 3: leaves you such a tiny kind of meager bucket in 92 00:04:55,720 --> 00:04:58,359 Speaker 3: the grand scheme of things, of cuts that can be made. 93 00:04:58,839 --> 00:05:02,880 Speaker 3: But those cuts have rastic, you know, just dramatic consequences 94 00:05:02,920 --> 00:05:05,440 Speaker 3: for people. There's you know, there's been experts who have 95 00:05:06,360 --> 00:05:08,839 Speaker 3: tried to do the math on how many people have 96 00:05:09,000 --> 00:05:11,160 Speaker 3: died as a result of these cuts, and it's somewhere 97 00:05:11,200 --> 00:05:14,080 Speaker 3: like two hundred thousands, like the number that I've seen 98 00:05:14,120 --> 00:05:17,600 Speaker 3: most recently, including adults and children, just from things like 99 00:05:18,000 --> 00:05:21,600 Speaker 3: AIDS or malaria or programs that the government, the US 100 00:05:21,640 --> 00:05:25,839 Speaker 3: government use to support. And so you look at the savings, 101 00:05:26,080 --> 00:05:28,320 Speaker 3: I think if you look at like the Trump Administration's 102 00:05:28,400 --> 00:05:30,880 Speaker 3: recent like big beautiful bill and all of the you know, 103 00:05:30,920 --> 00:05:33,240 Speaker 3: the trillions that have been added to the deficit, axios 104 00:05:33,279 --> 00:05:37,120 Speaker 3: recently had a number like dojis savings compared to you know, 105 00:05:37,160 --> 00:05:39,080 Speaker 3: the rest of it the administration has done has been 106 00:05:39,080 --> 00:05:42,680 Speaker 3: something like six percent, just extremely meager savings in the 107 00:05:42,680 --> 00:05:44,440 Speaker 3: grand scheme of things, yeah. 108 00:05:44,480 --> 00:05:47,120 Speaker 4: I mean the thing that's been crazy to me is 109 00:05:47,160 --> 00:05:49,480 Speaker 4: and I guess we should have predicted this. But if 110 00:05:49,480 --> 00:05:53,240 Speaker 4: you send a bunch of like first Principles thinkers to 111 00:05:53,360 --> 00:05:57,400 Speaker 4: do like a close reading of government spending, you may 112 00:05:57,440 --> 00:06:00,400 Speaker 4: find waste, but you also may sort of get tour 113 00:06:01,160 --> 00:06:04,159 Speaker 4: of all the things the government does, some of which 114 00:06:04,160 --> 00:06:06,080 Speaker 4: are really impressive. And I mean, like we've seen that 115 00:06:06,200 --> 00:06:10,479 Speaker 4: so vividly with pepfar, which I think many people sort 116 00:06:10,480 --> 00:06:13,120 Speaker 4: of if they were aware of it, they had sort 117 00:06:13,160 --> 00:06:16,240 Speaker 4: of forgotten about it. And you look and there are 118 00:06:16,320 --> 00:06:19,159 Speaker 4: estimates you alluded to this, but like we found one 119 00:06:19,200 --> 00:06:22,839 Speaker 4: at the Lancet estimating that because of the cuts to 120 00:06:22,880 --> 00:06:27,400 Speaker 4: the USAID programs, they're looking at potentially fourteen million people 121 00:06:27,880 --> 00:06:30,919 Speaker 4: dying between now and twenty thirty who would have otherwise lived. 122 00:06:30,960 --> 00:06:34,120 Speaker 4: I mean, like a real body count to some of 123 00:06:34,120 --> 00:06:38,640 Speaker 4: these cuts. There's also the sort of brain drain quality 124 00:06:38,640 --> 00:06:40,520 Speaker 4: of this, right, And of course there are two ways 125 00:06:40,520 --> 00:06:42,680 Speaker 4: of seeing this. You know, on one hand, maybe they're 126 00:06:42,680 --> 00:06:44,679 Speaker 4: just like cutting the dead weight. I mean, this comes 127 00:06:45,120 --> 00:06:47,520 Speaker 4: this comes up a lot anytime. There are layoffs in 128 00:06:47,760 --> 00:06:50,560 Speaker 4: the private sector as well, but like we're talking about 129 00:06:50,680 --> 00:06:54,479 Speaker 4: what like tens of thousands of people whose careers were ended. 130 00:06:55,000 --> 00:06:58,000 Speaker 4: I think found one estimates from the Citizens for Responsibility 131 00:06:58,040 --> 00:07:01,440 Speaker 4: and Ethics. It's a progressive nonprofit saying, you know, fifty 132 00:07:01,480 --> 00:07:02,320 Speaker 4: thousand people. 133 00:07:02,760 --> 00:07:04,920 Speaker 2: What do you think the scale of those losses has been. 134 00:07:05,480 --> 00:07:10,320 Speaker 3: Yeah, I mean, first off, like this has completely changed 135 00:07:10,400 --> 00:07:13,480 Speaker 3: what government work was for so many people they leave 136 00:07:13,520 --> 00:07:16,160 Speaker 3: the private sector and join government because it's a more 137 00:07:16,200 --> 00:07:18,200 Speaker 3: stable job. Sure, you're not going to get paid as 138 00:07:18,280 --> 00:07:20,640 Speaker 3: much as you would at a Google or Facebook or 139 00:07:20,640 --> 00:07:23,400 Speaker 3: something like that, but there are benefits and you're not 140 00:07:23,560 --> 00:07:26,160 Speaker 3: you know, you haven't been afraid of being laid off constantly, 141 00:07:26,240 --> 00:07:29,440 Speaker 3: So dough is completely shook that up. Everyone at these 142 00:07:29,440 --> 00:07:32,760 Speaker 3: agencies are still terrified, even though Elon is out. All 143 00:07:32,800 --> 00:07:35,280 Speaker 3: of my sources at a bunch of agencies where DOGE 144 00:07:35,280 --> 00:07:38,720 Speaker 3: still is are terrified that they're going to get laid off. 145 00:07:39,120 --> 00:07:41,600 Speaker 3: All the work that has gone to them now with 146 00:07:41,680 --> 00:07:45,480 Speaker 3: people who have either retired early or been forcibly removed 147 00:07:45,520 --> 00:07:48,960 Speaker 3: from government, that work still needs to get done. And 148 00:07:49,000 --> 00:07:51,440 Speaker 3: even you know, the folks who are still there are 149 00:07:51,440 --> 00:07:55,400 Speaker 3: completely exhausted and trying to find exit ramps themselves. And so, 150 00:07:56,440 --> 00:07:58,640 Speaker 3: like you mentioned, like people would go to the public 151 00:07:58,680 --> 00:08:00,600 Speaker 3: sector to have a bit of a piece of mind 152 00:08:00,640 --> 00:08:03,880 Speaker 3: about their career, and now it's just as in their minds, 153 00:08:03,920 --> 00:08:06,240 Speaker 3: just as tumultuous as the private sector. 154 00:08:10,040 --> 00:08:11,960 Speaker 4: All right, let's talk about you alluded to it a 155 00:08:11,960 --> 00:08:15,040 Speaker 4: couple times, but like this shift of what Doge is now. 156 00:08:15,040 --> 00:08:17,080 Speaker 4: You wrote a great piece for Wired about you know, 157 00:08:17,160 --> 00:08:19,920 Speaker 4: quote unquote Doge two point zero. What do you see 158 00:08:19,920 --> 00:08:21,320 Speaker 4: as Doge two point zero? 159 00:08:21,960 --> 00:08:24,920 Speaker 3: Yeah, So, like I mentioned, there's a lot of those 160 00:08:24,960 --> 00:08:28,160 Speaker 3: folks who were brought on at the beginning Edward big 161 00:08:28,160 --> 00:08:31,040 Speaker 3: Balls chorusing Luke Farredder. Yeah, and so a lot of 162 00:08:31,040 --> 00:08:33,840 Speaker 3: those kids are still in government, right, They're at a 163 00:08:33,920 --> 00:08:37,560 Speaker 3: variety of different agencies. Farreader is still at the Department 164 00:08:37,559 --> 00:08:40,560 Speaker 3: of Labor. He still has, you know, a tremendous amount 165 00:08:40,559 --> 00:08:45,560 Speaker 3: of power. But I think Doge one point oh can 166 00:08:45,640 --> 00:08:50,800 Speaker 3: be defined as this chaotic reckoning. All these people were 167 00:08:50,840 --> 00:08:54,319 Speaker 3: getting fired, right, It was about cuts, cuts, cuts, cuts 168 00:08:54,360 --> 00:08:56,719 Speaker 3: to contracts, cuts to all of that stuff. And we're 169 00:08:56,760 --> 00:09:00,800 Speaker 3: moving into something that feels more like a rebuilding, right, 170 00:09:00,880 --> 00:09:03,280 Speaker 3: So taking the scraps and the chaos that was left 171 00:09:03,320 --> 00:09:05,800 Speaker 3: by Doorge point one point oh, and maybe to Doge 172 00:09:05,800 --> 00:09:08,520 Speaker 3: two point zero, I think there's still cuts. I think 173 00:09:08,720 --> 00:09:12,239 Speaker 3: the Washington Post reported recently about this like DOGE deregulation 174 00:09:12,400 --> 00:09:14,800 Speaker 3: tool that they built. It's like an AI tool that's 175 00:09:14,800 --> 00:09:17,480 Speaker 3: supposed to go through two hundred thousand regulations in the 176 00:09:17,559 --> 00:09:20,719 Speaker 3: US government and find the ones to cut, which does 177 00:09:20,800 --> 00:09:24,360 Speaker 3: it sound like a very good way of going about 178 00:09:24,400 --> 00:09:27,440 Speaker 3: all of that. So there's still cuts, but there's major 179 00:09:27,480 --> 00:09:31,240 Speaker 3: IT projects that are still still undergoing. In April, I 180 00:09:31,280 --> 00:09:34,080 Speaker 3: reported about this tool that was being built at the 181 00:09:34,120 --> 00:09:37,040 Speaker 3: IRS that was essentially just just like Mega API to 182 00:09:37,120 --> 00:09:39,200 Speaker 3: unify all of the data at IRS to make it 183 00:09:39,200 --> 00:09:42,440 Speaker 3: more easily accessible and readable. That is still ongoing. It 184 00:09:42,480 --> 00:09:44,400 Speaker 3: was supposed to be done in thirty days, is what 185 00:09:44,480 --> 00:09:46,840 Speaker 3: Sam Corcos, the guy who was running that, the DOGE 186 00:09:46,840 --> 00:09:48,800 Speaker 3: guy who was running that IRIS, was trying to say. 187 00:09:49,080 --> 00:09:51,240 Speaker 3: It's definitely been a lot more than thirty days. That 188 00:09:51,360 --> 00:09:54,079 Speaker 3: is a very hard project. And there's you know, similar 189 00:09:54,120 --> 00:09:59,440 Speaker 3: projects going on at other agencies as well, and so yeah, 190 00:09:59,440 --> 00:10:01,760 Speaker 3: I think the OAG two point zero can be defined 191 00:10:01,800 --> 00:10:03,520 Speaker 3: more as this kind of rebuilding moment. 192 00:10:03,679 --> 00:10:06,640 Speaker 2: I think also, and tell me if this is wrong. 193 00:10:06,679 --> 00:10:08,400 Speaker 4: I mean, it seems like part of what's going on 194 00:10:08,559 --> 00:10:13,640 Speaker 4: is like these guys the Farador Cours team, the sharp 195 00:10:13,720 --> 00:10:16,880 Speaker 4: young things that Elon Musk brought in, the Doge bros 196 00:10:17,280 --> 00:10:21,440 Speaker 4: are basically being integrated within agencies, Like Doge is embedding 197 00:10:21,840 --> 00:10:27,640 Speaker 4: itself within different agencies and it's no longer really called 198 00:10:27,920 --> 00:10:31,360 Speaker 4: Doge anymore. Like the Trump administration has rebranded, and I 199 00:10:31,400 --> 00:10:33,160 Speaker 4: want to talk about that rebranding and like what you 200 00:10:33,160 --> 00:10:36,120 Speaker 4: think is driving it, because there seemed like a couple 201 00:10:36,160 --> 00:10:39,120 Speaker 4: of different possibilities and maybe they're all driving. One is 202 00:10:39,160 --> 00:10:42,640 Speaker 4: obviously the feud between Elon Musk and Donald Trump, and 203 00:10:42,679 --> 00:10:48,040 Speaker 4: Elon Musk essentially first being eased out of Trump's orbit 204 00:10:48,120 --> 00:10:51,760 Speaker 4: and then having like a full blown fight with Donald Trump, 205 00:10:51,840 --> 00:10:54,920 Speaker 4: where I think the Trump administration now like doesn't want 206 00:10:54,920 --> 00:10:57,800 Speaker 4: to have a lot of association with Elon Musk. I 207 00:10:57,800 --> 00:11:00,160 Speaker 4: think the second thing, which is maybe more important, is 208 00:11:00,200 --> 00:11:03,000 Speaker 4: that this stuff turned out to be really really unpopular. 209 00:11:03,720 --> 00:11:08,000 Speaker 3: Yeah, especially with the Cabinet secretary secretaries where this was happening. 210 00:11:08,080 --> 00:11:11,040 Speaker 3: You see these Doge people being integrated into these agencies, 211 00:11:11,240 --> 00:11:14,280 Speaker 3: and most of the time they're being integrated in groups 212 00:11:14,360 --> 00:11:18,600 Speaker 3: that are more directly reporting to the cabinet secretaries and 213 00:11:18,640 --> 00:11:22,839 Speaker 3: their teams rather than you know, an Amy Gleeson or 214 00:11:22,960 --> 00:11:26,280 Speaker 3: Steve Davis or Elon Musk. So these cabinet secretaries want 215 00:11:26,320 --> 00:11:28,280 Speaker 3: to have more oversight of what's happening at their agencies. 216 00:11:28,280 --> 00:11:32,880 Speaker 3: We heard so much about Scott Bessant being like totally 217 00:11:32,960 --> 00:11:36,640 Speaker 3: upset with Elon, openly feuding with him at the White House. 218 00:11:37,120 --> 00:11:39,360 Speaker 4: Yeah, I mean maybe he gave him the black eye. 219 00:11:39,360 --> 00:11:42,520 Speaker 4: We don't know, and I'm just kidding or have kidding, right, Yeah, 220 00:11:42,559 --> 00:11:43,040 Speaker 4: that was a. 221 00:11:43,040 --> 00:11:46,160 Speaker 3: Meme exactly, but you see that, And so they want 222 00:11:46,160 --> 00:11:48,600 Speaker 3: to have more oversight of this because even over I 223 00:11:48,600 --> 00:11:50,160 Speaker 3: feel like over the last couple of months we did 224 00:11:50,160 --> 00:11:52,839 Speaker 3: this story. You kind of talked about it about DOGE 225 00:11:52,880 --> 00:11:54,920 Speaker 3: two point zero and what it is, and I remember 226 00:11:55,080 --> 00:11:58,400 Speaker 3: we went to the White House and even some of 227 00:11:58,760 --> 00:12:02,360 Speaker 3: you know, senior administration officials there still had no idea 228 00:12:02,520 --> 00:12:04,600 Speaker 3: of what DOGE was doing. Like some of what we're 229 00:12:04,640 --> 00:12:07,600 Speaker 3: telling them is like news to them, and so they 230 00:12:07,679 --> 00:12:10,800 Speaker 3: need I think part of this new version of DOGE 231 00:12:11,120 --> 00:12:14,920 Speaker 3: is giving it a bit more accountability and oversight from 232 00:12:15,240 --> 00:12:16,560 Speaker 3: the politicals in charge. 233 00:12:16,800 --> 00:12:19,160 Speaker 4: Yeah, this story that you're talking about, this is Doughtube. 234 00:12:19,440 --> 00:12:21,960 Speaker 4: Listeners should definitely read it because it gives kind of 235 00:12:22,000 --> 00:12:25,120 Speaker 4: like the most comprehensive account of like what is happening 236 00:12:25,200 --> 00:12:28,760 Speaker 4: right now published in early July. One thing, and mckennay, 237 00:12:28,760 --> 00:12:31,560 Speaker 4: you alluded to this earlier, but part of this dough 238 00:12:31,640 --> 00:12:33,880 Speaker 4: tube we know is adopting some of these sort of 239 00:12:34,400 --> 00:12:41,360 Speaker 4: corporate processes that seem at once very familiar to anyone 240 00:12:41,360 --> 00:12:43,920 Speaker 4: who's worked in a large company and also just like 241 00:12:44,040 --> 00:12:48,360 Speaker 4: comically inefficient. It's like the next step of the you know, 242 00:12:48,400 --> 00:12:52,480 Speaker 4: Elon Musk loved to show the like memes of the 243 00:12:52,840 --> 00:12:55,679 Speaker 4: Office Space Consultants, the Bobs, acting like he was one 244 00:12:55,679 --> 00:12:58,960 Speaker 4: of the Office Space consultants, which always felt weird because you're, like, 245 00:12:59,000 --> 00:13:01,319 Speaker 4: the Bobs are the villains of that movie, and now 246 00:13:01,360 --> 00:13:06,000 Speaker 4: we're getting sort of weird corporate processes that don't seem 247 00:13:06,040 --> 00:13:09,720 Speaker 4: inherently who knows, maybe they are more efficient, but they 248 00:13:09,720 --> 00:13:12,400 Speaker 4: don't seem obviously more efficient to me. It seems like 249 00:13:12,559 --> 00:13:15,400 Speaker 4: many of your sources don't necessarily view them as inherently 250 00:13:15,440 --> 00:13:17,000 Speaker 4: more efficient than what was going on before. 251 00:13:17,360 --> 00:13:19,560 Speaker 3: Yeah, one of the things that stands out to me 252 00:13:19,600 --> 00:13:23,360 Speaker 3: that maybe isn't like the sexiest thing, but there was 253 00:13:23,400 --> 00:13:25,640 Speaker 3: the Executive Order earlier this year where they wanted to 254 00:13:25,920 --> 00:13:30,640 Speaker 3: bring procurement and contracting into GSA, and so GSA, the 255 00:13:30,679 --> 00:13:33,559 Speaker 3: General Services Administration, would be doing all of the contracting 256 00:13:33,600 --> 00:13:37,200 Speaker 3: work for every agency, which maybe sounds great, right to 257 00:13:37,280 --> 00:13:40,240 Speaker 3: somebody in the private industry, like we should have one 258 00:13:40,360 --> 00:13:42,880 Speaker 3: team doing all of this work. But it's really different. 259 00:13:42,880 --> 00:13:45,000 Speaker 3: When GSA does a lot of like tech, they do 260 00:13:45,080 --> 00:13:47,760 Speaker 3: a lot of like work specialized for them that they've 261 00:13:47,760 --> 00:13:49,800 Speaker 3: been doing for a very long time, instead having them 262 00:13:49,840 --> 00:13:52,080 Speaker 3: to do, you know, trying to get these people who 263 00:13:52,080 --> 00:13:54,880 Speaker 3: haven't worked at these agencies to figure out the best 264 00:13:54,920 --> 00:13:57,640 Speaker 3: you know, the best tech, the best resources, the best consultants, 265 00:13:57,800 --> 00:14:02,040 Speaker 3: all of these things. For agencies like AHHS, h CDC, 266 00:14:02,440 --> 00:14:06,400 Speaker 3: these more specialized groups, the Department of Energy and Nuclear, 267 00:14:06,679 --> 00:14:09,160 Speaker 3: you're asking folks who have no background in this to 268 00:14:09,240 --> 00:14:13,200 Speaker 3: make decisions on some of the most important programs in 269 00:14:13,240 --> 00:14:17,040 Speaker 3: our country. And so talk about inefficiency a lot of 270 00:14:17,040 --> 00:14:19,560 Speaker 3: these folks. And there's far less stuff right in these 271 00:14:19,560 --> 00:14:21,880 Speaker 3: procurement offices as well, so they're going to have to 272 00:14:22,440 --> 00:14:25,680 Speaker 3: really go through some process of like learning all of 273 00:14:25,680 --> 00:14:29,640 Speaker 3: this stuff in order to make this administration goal work. 274 00:14:35,600 --> 00:14:38,400 Speaker 4: Let's bring it back to Elon before we wrap. One 275 00:14:38,400 --> 00:14:40,120 Speaker 4: of the more intriguing things to come out of your 276 00:14:40,200 --> 00:14:43,960 Speaker 4: reporting recently was sort of information about Elon's continued to 277 00:14:44,000 --> 00:14:46,280 Speaker 4: influence within DOGE, like the fact, first of all, the 278 00:14:46,280 --> 00:14:48,720 Speaker 4: fact that a bunch of these Elon left he and 279 00:14:48,720 --> 00:14:52,120 Speaker 4: Trump are beefing. He's like talking about Epstein on Twitter 280 00:14:52,320 --> 00:14:56,800 Speaker 4: all the time, threatening to fund primary challenges, and yet 281 00:14:57,000 --> 00:14:58,760 Speaker 4: a bunch of the people he's still hired are in 282 00:14:58,800 --> 00:15:03,360 Speaker 4: positions of power. And you even reported in your story 283 00:15:03,840 --> 00:15:06,920 Speaker 4: that he was having sort of more direct influence via 284 00:15:07,000 --> 00:15:09,880 Speaker 4: deputies and so on, who are talking still kind of 285 00:15:09,920 --> 00:15:14,040 Speaker 4: in communication with members of the Trump administration or people 286 00:15:14,080 --> 00:15:17,400 Speaker 4: in senior positions. Is that still going on and do 287 00:15:17,400 --> 00:15:19,720 Speaker 4: you see that as a kind of lasting impact. 288 00:15:20,280 --> 00:15:24,720 Speaker 3: I don't have any news on whether that is still 289 00:15:24,720 --> 00:15:29,280 Speaker 3: ongoing this kinds of communication, but I do believe that 290 00:15:29,400 --> 00:15:34,280 Speaker 3: Elon's influence is still there, especially if you look at 291 00:15:34,320 --> 00:15:37,240 Speaker 3: someone like Luke Ferreder who is still in government. I 292 00:15:37,320 --> 00:15:42,080 Speaker 3: can't imagine someone like Luke or Big Balls or whoever, 293 00:15:42,360 --> 00:15:44,480 Speaker 3: or have plans to stay in the government forever. 294 00:15:44,840 --> 00:15:45,080 Speaker 2: Right. 295 00:15:45,680 --> 00:15:48,280 Speaker 3: Their allegiance is more to this kind of like Silicon 296 00:15:48,400 --> 00:15:52,320 Speaker 3: Valley mindset, these kinds of companies, and so they don't 297 00:15:52,320 --> 00:15:55,320 Speaker 3: want to do anything that would you know, put them 298 00:15:55,360 --> 00:15:58,800 Speaker 3: out of favor with Elon, and I think that is 299 00:15:58,840 --> 00:16:03,120 Speaker 3: maybe where more of that lasting influence will be as 300 00:16:03,160 --> 00:16:05,280 Speaker 3: long as those folks continue to work in government. 301 00:16:05,800 --> 00:16:08,840 Speaker 4: Do you think we're going to look back and say 302 00:16:09,120 --> 00:16:13,480 Speaker 4: that Elon Musk profited from this experience? I ask because 303 00:16:14,080 --> 00:16:17,360 Speaker 4: there have been reports at various points right about Musk 304 00:16:17,920 --> 00:16:21,280 Speaker 4: getting access to data, like not even necessarily not like 305 00:16:21,360 --> 00:16:24,760 Speaker 4: sensitive data to like violate people's privacy, but data that 306 00:16:24,800 --> 00:16:27,840 Speaker 4: would give him insight perhaps into markets that could be 307 00:16:27,920 --> 00:16:33,440 Speaker 4: useful from a business perspective. There's also been suggestions that, like, 308 00:16:33,520 --> 00:16:37,120 Speaker 4: for instance, X Money, that this effort by X to 309 00:16:37,280 --> 00:16:40,359 Speaker 4: like launch a payments platform, like one of the motivations 310 00:16:40,400 --> 00:16:44,120 Speaker 4: for gutting the CFPB, the Consumer Financial Protection Bureau, was 311 00:16:44,160 --> 00:16:46,760 Speaker 4: to launch X money, Like you could go on and on. Right, 312 00:16:46,760 --> 00:16:50,880 Speaker 4: They're different parts of the regulatory apparatus that touched Elon Musk, 313 00:16:50,960 --> 00:16:53,920 Speaker 4: And there has been this sort of suggestion that we're 314 00:16:53,960 --> 00:16:57,880 Speaker 4: not just witnessing sort of destruction of government for the 315 00:16:57,880 --> 00:17:01,320 Speaker 4: sake of efficiency. We're seeing something that looks more like looting. 316 00:17:01,720 --> 00:17:05,439 Speaker 4: And I'm kind of curious how your sources see it 317 00:17:05,480 --> 00:17:07,919 Speaker 4: and how you think about this conversation. 318 00:17:08,600 --> 00:17:11,520 Speaker 3: Yeah, so I don't know if there's really been much 319 00:17:11,600 --> 00:17:16,159 Speaker 3: reporting about whether Elon himself has like walked out of 320 00:17:16,200 --> 00:17:19,920 Speaker 3: government with this like USB drive, you know, with all 321 00:17:19,960 --> 00:17:24,160 Speaker 3: of this data on it. So I think the work 322 00:17:24,200 --> 00:17:27,120 Speaker 3: that Doge did that could benefit Elon in the long 323 00:17:27,200 --> 00:17:28,720 Speaker 3: run that we can you know that I think we 324 00:17:28,760 --> 00:17:32,600 Speaker 3: can make a fair prediction would be, like you mentioned 325 00:17:32,600 --> 00:17:35,760 Speaker 3: the CFPB for example, does Elon have information that can 326 00:17:35,800 --> 00:17:38,360 Speaker 3: maybe help in with competitors, Who knows. But what did 327 00:17:38,400 --> 00:17:43,359 Speaker 3: happen is that he his team like basically Holy defanged 328 00:17:43,359 --> 00:17:46,560 Speaker 3: that agency. If there is something that Elon wants to 329 00:17:46,560 --> 00:17:50,399 Speaker 3: do with expay or whatever it is, the regulator there 330 00:17:50,680 --> 00:17:53,800 Speaker 3: who would go after him has far less resources than 331 00:17:53,800 --> 00:17:57,040 Speaker 3: it did before. And so I don't know if we 332 00:17:57,040 --> 00:17:59,320 Speaker 3: can say that he will come out of this with 333 00:17:59,480 --> 00:18:02,800 Speaker 3: like bags of gold bullion from all of this. But 334 00:18:03,160 --> 00:18:08,320 Speaker 3: I think he's created more of a shield for himself 335 00:18:08,400 --> 00:18:11,399 Speaker 3: and his businesses by the cuts that he made on 336 00:18:11,440 --> 00:18:12,280 Speaker 3: these agencies. 337 00:18:12,840 --> 00:18:16,479 Speaker 4: What about his reputation you know for whatever you know, 338 00:18:16,600 --> 00:18:20,439 Speaker 4: help gutting the CFPV provided there is a sense that 339 00:18:20,560 --> 00:18:23,480 Speaker 4: like Trump at least say, I have a sense that 340 00:18:24,080 --> 00:18:27,720 Speaker 4: Trump has essentially let Elon take the fall for Doge 341 00:18:27,840 --> 00:18:29,960 Speaker 4: and like he's going to get blamed for this, and 342 00:18:30,000 --> 00:18:32,600 Speaker 4: like this is going to be this thing that if 343 00:18:32,600 --> 00:18:36,040 Speaker 4: you look at the public polling, is super unpopular, right, 344 00:18:36,080 --> 00:18:39,200 Speaker 4: Like the idea of making government more efficient is very popular. 345 00:18:39,359 --> 00:18:42,600 Speaker 4: The idea of Elon Musk's specific brand of making the 346 00:18:42,640 --> 00:18:47,760 Speaker 4: government efficient is extremely unpopular. And I think maybe that's 347 00:18:48,080 --> 00:18:51,439 Speaker 4: that's the legacy, is just that Elon has like permanently 348 00:18:52,400 --> 00:18:57,280 Speaker 4: damaged his reputation or or has added another thing that 349 00:18:57,400 --> 00:18:59,240 Speaker 4: is going to be hard for him to overcome in 350 00:18:59,320 --> 00:19:01,960 Speaker 4: terms of his and in terms of like his companies 351 00:19:02,000 --> 00:19:02,440 Speaker 4: and so on. 352 00:19:02,960 --> 00:19:06,800 Speaker 3: Yeah, I think that's still to be seen though, Right, 353 00:19:07,320 --> 00:19:10,560 Speaker 3: there are still like these MAGA influencers who were obsessed 354 00:19:10,560 --> 00:19:13,720 Speaker 3: with Elon. There are still these MAGA influencers who, after 355 00:19:13,760 --> 00:19:16,200 Speaker 3: all this Epstein stuff with Trump, are willing to carry 356 00:19:16,240 --> 00:19:18,840 Speaker 3: water for him as well. Right, And So I don't 357 00:19:18,880 --> 00:19:24,119 Speaker 3: know if I've seen anything that has dramatically, you know, 358 00:19:24,359 --> 00:19:28,040 Speaker 3: changed the way that you know, the people who really support, 359 00:19:28,119 --> 00:19:31,240 Speaker 3: you know, the real true believers feel about him. I 360 00:19:31,240 --> 00:19:34,160 Speaker 3: guess it's still kind of like to be seen, all. 361 00:19:34,160 --> 00:19:35,840 Speaker 2: Right, McKenna, prediction time. 362 00:19:36,480 --> 00:19:39,879 Speaker 4: We will hold you to this prediction and invite you 363 00:19:39,920 --> 00:19:44,560 Speaker 4: back to to discuss it. But how where do you 364 00:19:44,560 --> 00:19:47,479 Speaker 4: see DOGE a year from now, twenty twenty six will 365 00:19:47,520 --> 00:19:50,320 Speaker 4: be heading into the midterm elections. Is it going strong? 366 00:19:50,760 --> 00:19:54,080 Speaker 4: Is Big Ball still there? Two questions. One is a 367 00:19:54,119 --> 00:19:56,920 Speaker 4: sort of government question, which is do you think this 368 00:19:57,000 --> 00:20:01,040 Speaker 4: project will be ongoing in some form and to will 369 00:20:01,080 --> 00:20:03,439 Speaker 4: it be will it have political salience, will be a 370 00:20:03,440 --> 00:20:07,000 Speaker 4: political issue that will help decide the midterms potentially even 371 00:20:07,000 --> 00:20:07,919 Speaker 4: the next presidency. 372 00:20:08,480 --> 00:20:12,800 Speaker 3: Hmmm, Dog is technically around till July twenty sixth, the 373 00:20:12,840 --> 00:20:13,400 Speaker 3: next year. 374 00:20:14,000 --> 00:20:16,840 Speaker 2: Okay, mark your calendar listeners, that's. 375 00:20:16,680 --> 00:20:20,080 Speaker 3: When it's officially over. Kind of what I'm seeing now, 376 00:20:20,160 --> 00:20:24,080 Speaker 3: and if the trend continues for the next year, we're 377 00:20:24,119 --> 00:20:29,600 Speaker 3: going to continue to see these kinds of dog folks 378 00:20:29,680 --> 00:20:34,080 Speaker 3: from tech cycling in and out of government, you know, 379 00:20:34,359 --> 00:20:37,080 Speaker 3: doing some projects and then leaving. But I see like 380 00:20:37,119 --> 00:20:38,919 Speaker 3: there's still a bunch of people who are really excited 381 00:20:38,960 --> 00:20:41,600 Speaker 3: about this mission. I imagine they'll want to be a 382 00:20:41,640 --> 00:20:43,800 Speaker 3: part and then do their one hundred or something days 383 00:20:44,320 --> 00:20:47,880 Speaker 3: and then leave. But I don't think DOGE will ever 384 00:20:48,080 --> 00:20:52,800 Speaker 3: be what it was in January and February, right. I 385 00:20:52,800 --> 00:20:56,600 Speaker 3: think more so of what the legacy of DOGE is 386 00:20:56,600 --> 00:21:01,680 Speaker 3: is this kind of cultural shakeup, right, this changing of 387 00:21:02,440 --> 00:21:06,200 Speaker 3: what can happen in government and how it operates. And 388 00:21:07,080 --> 00:21:09,400 Speaker 3: you know, in a year from now, we'll probably see 389 00:21:09,440 --> 00:21:13,040 Speaker 3: a lot more of the consequences of these cuts, maybe 390 00:21:13,119 --> 00:21:16,359 Speaker 3: things that you know happen sooner, you know, closer to 391 00:21:16,400 --> 00:21:19,840 Speaker 3: the election that maybe. But yeah, I feel as if 392 00:21:20,640 --> 00:21:23,560 Speaker 3: the Democrats will still try and go after Elon the 393 00:21:23,600 --> 00:21:26,200 Speaker 3: Republicans for a lot of what happened this year. 394 00:21:26,640 --> 00:21:28,480 Speaker 4: Yeah, I think it's going to be a huge political 395 00:21:28,520 --> 00:21:31,920 Speaker 4: issue actually as we're talking through it, just because anything 396 00:21:32,000 --> 00:21:34,680 Speaker 4: you're mad about with the government, we've just created this 397 00:21:34,800 --> 00:21:38,480 Speaker 4: situation or the Republicans really in doing this, like create 398 00:21:38,520 --> 00:21:42,119 Speaker 4: a situation where you create all this this like huge 399 00:21:42,240 --> 00:21:45,280 Speaker 4: vector for attack, which I think is why like deficits, 400 00:21:45,520 --> 00:21:47,879 Speaker 4: it's very hard to cut deficits spending in general, and 401 00:21:48,440 --> 00:21:51,600 Speaker 4: even if you're like super subtle about it and like 402 00:21:51,880 --> 00:21:55,119 Speaker 4: very politically nuanced, you still create that vector of attack. 403 00:21:55,320 --> 00:21:58,040 Speaker 4: But Elon Musk did it in such a gonzo way 404 00:21:58,640 --> 00:22:00,840 Speaker 4: that it's going to make it almost possible for this 405 00:22:00,960 --> 00:22:03,760 Speaker 4: not to be a huge issue. I feel like we 406 00:22:03,800 --> 00:22:07,600 Speaker 4: need to stock up on those DOGE baseball Caps now 407 00:22:07,800 --> 00:22:10,880 Speaker 4: because they're gonna be hard to find in a year 408 00:22:10,920 --> 00:22:11,199 Speaker 4: from now. 409 00:22:11,200 --> 00:22:12,199 Speaker 2: We can sell him on eBay. 410 00:22:12,480 --> 00:22:14,600 Speaker 3: Baby, mm you know, I think I think you're right. 411 00:22:15,080 --> 00:22:17,040 Speaker 3: Oh man, where do we get those do chats? 412 00:22:17,080 --> 00:22:21,359 Speaker 4: Anyways, we've gotta find Elon's eBay alt and uh probably 413 00:22:21,440 --> 00:22:22,840 Speaker 4: got McKenna Kelly. 414 00:22:22,880 --> 00:22:23,919 Speaker 2: Thanks for joining. 415 00:22:23,720 --> 00:22:25,680 Speaker 3: Us, Yeah, no problem, great being here. 416 00:22:32,760 --> 00:22:35,639 Speaker 1: This episode is produced by Stacy Wong and edited by 417 00:22:35,680 --> 00:22:39,680 Speaker 1: Anna Masarrakas Blake Maple's Handles engineering, with help from Joyce 418 00:22:39,720 --> 00:22:45,040 Speaker 1: Tang Dave Purcell fact checks. Our supervising producer is Magnus Henrickson. 419 00:22:45,600 --> 00:22:48,359 Speaker 1: The Elon Inc. Theme is written and performed by Taka 420 00:22:48,440 --> 00:22:52,040 Speaker 1: Yasuzawa and Alex Sugiura. Sage Bauman is the head of 421 00:22:52,040 --> 00:22:55,560 Speaker 1: Bloomberg Podcast. A big thanks as always to our supporters 422 00:22:55,640 --> 00:22:59,320 Speaker 1: Joel Weber and Brad Stone. I'm David Popdopolis. If you 423 00:22:59,400 --> 00:23:02,160 Speaker 1: have a minute, rate and review our show, it'll help 424 00:23:02,200 --> 00:23:04,440 Speaker 1: other listeners find us. See you next week.