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Uber is 11 00:00:35,560 --> 00:00:39,560 Speaker 2: partnering with Lucid neuro to launch robotaxis in twenty twenty six. 12 00:00:40,920 --> 00:00:43,640 Speaker 2: I'll do a ROBOTAXI I mean, I get into car 13 00:00:43,680 --> 00:00:46,320 Speaker 2: every morning with a dude I do not know, true, 14 00:00:46,520 --> 00:00:48,000 Speaker 2: and I trust him to get me from point. 15 00:00:48,040 --> 00:00:49,280 Speaker 4: But there's someone behind the wheel. 16 00:00:49,760 --> 00:00:51,279 Speaker 2: Yeah, but I don't know who this dude is. But 17 00:00:51,800 --> 00:00:54,200 Speaker 2: I mean, I don't know. There's like twenty seven thousand 18 00:00:54,200 --> 00:00:56,880 Speaker 2: censors on these things. It's I don't know, man deep 19 00:00:56,880 --> 00:00:59,240 Speaker 2: saying he knows he does this stuff. Senior tech industry 20 00:00:59,240 --> 00:01:05,080 Speaker 2: analis for Bloomberg Intelligence. What's Uber strategy for robotaxes? Because 21 00:01:05,080 --> 00:01:09,160 Speaker 2: you could argue that boy that would totally impact their 22 00:01:09,200 --> 00:01:11,920 Speaker 2: business model Uber if I don't need to share my 23 00:01:11,959 --> 00:01:12,479 Speaker 2: money with them. 24 00:01:12,800 --> 00:01:17,480 Speaker 5: I mean Uber's strategy under this CEO, Dara Koshershahi, ever 25 00:01:17,520 --> 00:01:20,399 Speaker 5: since he has taken over, is to build scale when 26 00:01:20,480 --> 00:01:25,720 Speaker 5: it comes to both supply and that translates into adding 27 00:01:25,760 --> 00:01:29,080 Speaker 5: more services. So that's why they expanded on their delivery 28 00:01:29,120 --> 00:01:30,920 Speaker 5: side in such a big way. You know, they added 29 00:01:30,959 --> 00:01:33,720 Speaker 5: food delivery, grocery delivery. It was all. 30 00:01:33,600 --> 00:01:35,200 Speaker 2: About drizzly which is the. 31 00:01:37,160 --> 00:01:40,880 Speaker 5: Look. And now they're doing the same way the adonomous 32 00:01:40,959 --> 00:01:43,720 Speaker 5: vehicles supply. So they have a partnership with Weimo in 33 00:01:43,760 --> 00:01:46,600 Speaker 5: two cities, but then they are at the mercy of 34 00:01:46,760 --> 00:01:50,760 Speaker 5: either a Weimo or Tesla partnering with them. What they're 35 00:01:50,760 --> 00:01:54,000 Speaker 5: doing here is because they don't have their own av 36 00:01:54,240 --> 00:01:59,440 Speaker 5: efforts really doing this minority investment in Lucid that makes 37 00:01:59,480 --> 00:02:04,040 Speaker 5: about hoousand vehicles a year, Premium evs and also Neuro 38 00:02:04,160 --> 00:02:09,920 Speaker 5: which is software maker similar to Wevemo in terms of 39 00:02:10,040 --> 00:02:14,240 Speaker 5: you know, autonomous driving. They provide the actual technology and 40 00:02:14,320 --> 00:02:17,600 Speaker 5: sensors and software for the vehicle to drive itself on 41 00:02:17,680 --> 00:02:21,120 Speaker 5: its own. And it seems to be a sound strategy, 42 00:02:21,520 --> 00:02:24,360 Speaker 5: you know, just to hedge their bets. What if the 43 00:02:24,440 --> 00:02:28,200 Speaker 5: Weymo partnership doesn't pan out or get bigger as they 44 00:02:28,240 --> 00:02:31,440 Speaker 5: hope to be. And that's where you know, having this 45 00:02:31,560 --> 00:02:33,320 Speaker 5: investment does make a lot of sense. 46 00:02:33,440 --> 00:02:35,679 Speaker 4: So how does this deal all work? I mean break 47 00:02:35,720 --> 00:02:38,960 Speaker 4: it down for it's certain like SUV Lucids, Like, how 48 00:02:38,960 --> 00:02:39,520 Speaker 4: does it? 49 00:02:39,600 --> 00:02:42,960 Speaker 5: Yeah, I mean look Lucid, like I said, compare that 50 00:02:43,000 --> 00:02:45,799 Speaker 5: to Tesla making one point eight million cars a year. 51 00:02:45,919 --> 00:02:49,359 Speaker 5: Lucid makes ten thousand vehicles a year, so it's a 52 00:02:49,520 --> 00:02:52,920 Speaker 5: much smaller company in terms of the number of vehicles. 53 00:02:53,320 --> 00:02:56,640 Speaker 5: But at the same time, everyone who owns a Lucid, 54 00:02:56,639 --> 00:02:59,280 Speaker 5: they like the experience. It's one of that premium EV 55 00:03:00,120 --> 00:03:04,280 Speaker 5: cars that never took off. And that's why adding that 56 00:03:04,360 --> 00:03:08,119 Speaker 5: sensor technology for autonomous driving on top of Lucid does 57 00:03:08,200 --> 00:03:11,480 Speaker 5: make sense. Because Uber, like I said, it's all about 58 00:03:11,520 --> 00:03:15,280 Speaker 5: adding more supply. They want to cater to every segment, 59 00:03:15,639 --> 00:03:19,040 Speaker 5: premium segment who wants to use AVY vehicles as part 60 00:03:19,120 --> 00:03:21,760 Speaker 5: of their daily routine. And that's where you know they 61 00:03:21,760 --> 00:03:25,400 Speaker 5: are thinking long term, Okay, do we have AVY supply 62 00:03:25,639 --> 00:03:28,240 Speaker 5: for all types of segments and this could be something 63 00:03:28,320 --> 00:03:31,320 Speaker 5: that we have an investment in. And I think it's 64 00:03:31,360 --> 00:03:34,120 Speaker 5: not a big amount. It's not an outright acquisition that 65 00:03:34,160 --> 00:03:34,720 Speaker 5: they're making. 66 00:03:34,760 --> 00:03:36,400 Speaker 4: Well, you know, Paul, they said the Lucid was the 67 00:03:36,440 --> 00:03:40,160 Speaker 4: car the Hamptons, Like, that's really now? Yes, yes, well you. 68 00:03:40,160 --> 00:03:42,120 Speaker 2: Never know, very good. I'm not sure what the car 69 00:03:42,200 --> 00:03:44,520 Speaker 2: the Jersey sure is. It's the vestment you see me 70 00:03:44,640 --> 00:03:45,120 Speaker 2: cruising on. 71 00:03:45,400 --> 00:03:45,680 Speaker 3: All right. 72 00:03:45,720 --> 00:03:48,440 Speaker 2: The market cap of Uber Technologies one hundred and eighty 73 00:03:48,440 --> 00:03:52,680 Speaker 2: eight billion dollars, it's up fifty percent this year. What's 74 00:03:52,760 --> 00:03:53,280 Speaker 2: driving that? 75 00:03:53,720 --> 00:03:56,160 Speaker 5: I mean remember the time when Lyft used to be 76 00:03:56,240 --> 00:04:00,640 Speaker 5: thirty percent of Uber. That has changed completely. Now Lift 77 00:04:00,680 --> 00:04:03,720 Speaker 5: is like three percent of Uber's market cap. So that's 78 00:04:03,800 --> 00:04:08,600 Speaker 5: where that scale strategy under the CEO has worked for them. 79 00:04:09,000 --> 00:04:12,560 Speaker 5: That really has been the key differentiator between Uber and Lyft. 80 00:04:12,960 --> 00:04:15,880 Speaker 5: And what explains that, you know, almost two hundred billion 81 00:04:15,960 --> 00:04:18,920 Speaker 5: dollars in market cap for Uber And look, I think 82 00:04:18,920 --> 00:04:22,400 Speaker 5: they're doing the right thing here by adding more scale, 83 00:04:22,480 --> 00:04:26,400 Speaker 5: because otherwise you run the risk of getting disintermediated, especially 84 00:04:26,400 --> 00:04:29,039 Speaker 5: at Tesla, which wants to go on its own. They 85 00:04:29,080 --> 00:04:30,760 Speaker 5: don't want to partner with anyone, all right. 86 00:04:30,880 --> 00:04:35,159 Speaker 2: Darrek Kastoshahi, the CEO of Uber, he got his twenty 87 00:04:35,839 --> 00:04:38,799 Speaker 2: most recent year comp four point two million cash compensation, 88 00:04:39,040 --> 00:04:41,880 Speaker 2: thirty nine point eight million of non cash competition each 89 00:04:41,920 --> 00:04:45,119 Speaker 2: stock that stock since he got that is up twenty 90 00:04:45,120 --> 00:04:47,280 Speaker 2: three point eight million. So is current pay value for 91 00:04:47,320 --> 00:04:50,800 Speaker 2: that year sixty eight million dollars. This dude's worth every penny, 92 00:04:50,920 --> 00:04:53,720 Speaker 2: right the shareholders. I mean, I'll pay this guy whatever 93 00:04:53,720 --> 00:04:54,119 Speaker 2: he wants. 94 00:04:54,160 --> 00:04:57,440 Speaker 5: Right, Well, his fartues have really turned around this year 95 00:04:58,440 --> 00:05:01,559 Speaker 5: up until twenty twenty four. This dot in do that well, 96 00:05:01,600 --> 00:05:05,440 Speaker 5: so really this year with Bill Ackman taking a steak 97 00:05:05,680 --> 00:05:07,800 Speaker 5: and you know about that. So there have been a 98 00:05:07,800 --> 00:05:10,919 Speaker 5: lot of catalysts that have played out in favor of Uber, 99 00:05:10,960 --> 00:05:13,840 Speaker 5: and like I said, Lift not performing because of their 100 00:05:13,920 --> 00:05:18,280 Speaker 5: lack of scale really validated Uber strategies. So I do 101 00:05:18,400 --> 00:05:20,599 Speaker 5: think he has had a good run. Yeah. 102 00:05:20,680 --> 00:05:22,279 Speaker 4: Well, Paul makes fun of me because I only have 103 00:05:22,400 --> 00:05:24,440 Speaker 4: the Uber app, I don't have the list, and he 104 00:05:24,520 --> 00:05:27,160 Speaker 4: kalls me all the time. The quick thirty seconds that 105 00:05:27,200 --> 00:05:29,920 Speaker 4: we have here left ROBOTAXI fleets. We don't know where 106 00:05:29,920 --> 00:05:31,359 Speaker 4: this one is going to take off? 107 00:05:31,440 --> 00:05:31,640 Speaker 6: Right? 108 00:05:31,920 --> 00:05:35,159 Speaker 4: Can something like this work in New York City? Robotaxis? 109 00:05:35,360 --> 00:05:37,800 Speaker 5: Well, Weimo is trying to get up permit here, So 110 00:05:38,279 --> 00:05:41,120 Speaker 5: in my mind, you know Uber wants to fill in 111 00:05:41,200 --> 00:05:43,960 Speaker 5: the gaps where they don't have a partnership with Wemo. 112 00:05:44,120 --> 00:05:46,560 Speaker 5: So right now, Uber has a partnership with Vemo only 113 00:05:46,600 --> 00:05:49,440 Speaker 5: in two cities, Austin and Atlanta, not in San Francisco, 114 00:05:49,560 --> 00:05:52,880 Speaker 5: Phoenix and other cities where Vemo operates in. So this 115 00:05:53,000 --> 00:05:56,120 Speaker 5: allows them to add more heavy vehicles than cities where 116 00:05:56,160 --> 00:05:58,120 Speaker 5: Vemo doesn't want to partner with Uber. 117 00:05:58,600 --> 00:06:00,440 Speaker 2: Right, would you get in a heavy bit in a way? 118 00:06:00,560 --> 00:06:03,520 Speaker 5: I have? Yes? I love the experience, really yes. 119 00:06:04,080 --> 00:06:06,680 Speaker 2: So you get in the back, there's no budding in 120 00:06:06,720 --> 00:06:08,320 Speaker 2: the front and the car just goes. 121 00:06:08,720 --> 00:06:11,320 Speaker 5: Yeah, I mean, and the car is reliable in the 122 00:06:11,360 --> 00:06:14,000 Speaker 5: city is where they all pray vingel now has one 123 00:06:14,080 --> 00:06:18,320 Speaker 5: hundred million miles driven mild So how much validation do 124 00:06:18,360 --> 00:06:18,680 Speaker 5: you need? 125 00:06:19,040 --> 00:06:21,400 Speaker 2: You're right, all right, you sold me. I'll give it 126 00:06:21,440 --> 00:06:24,000 Speaker 2: a shot. I mean, I don't know. Maybe not in Manhattan, No. 127 00:06:24,160 --> 00:06:25,200 Speaker 4: I saw I'm in San Francisco. 128 00:06:25,320 --> 00:06:27,440 Speaker 3: I thought about it, but he didn't do it. 129 00:06:29,080 --> 00:06:31,520 Speaker 2: But right, Mendy, thank you so much. Always always are 130 00:06:31,560 --> 00:06:36,360 Speaker 2: great talks, Mendeep seeing senior tech analysts, you know, driverless 131 00:06:36,360 --> 00:06:37,480 Speaker 2: card dude who knew that. 132 00:06:39,120 --> 00:06:42,839 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us Live 133 00:06:42,920 --> 00:06:45,960 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 134 00:06:46,000 --> 00:06:49,320 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 135 00:06:49,360 --> 00:06:52,480 Speaker 1: you get your podcasts, or watch us live on YouTube. 136 00:06:53,000 --> 00:06:57,320 Speaker 4: Donlease Matteo alongside Paul Sweeney. United Airlines right they narrow 137 00:06:57,400 --> 00:06:59,880 Speaker 4: it narrowed its profit range for the first for the 138 00:07:00,240 --> 00:07:02,279 Speaker 4: of the year, but they do expect travel demand to 139 00:07:02,320 --> 00:07:06,040 Speaker 4: continue to rise. Now. Earlier this morning, CEO Scott Kirby 140 00:07:06,080 --> 00:07:08,640 Speaker 4: he sat down with Bloomberg's Lisa Brahmins and they talked 141 00:07:08,640 --> 00:07:11,360 Speaker 4: about United's earnings and also their outlook for the rest 142 00:07:11,400 --> 00:07:12,280 Speaker 4: of twenty twenty five. 143 00:07:12,680 --> 00:07:15,280 Speaker 7: This year, a lot of uncertainty in the first half 144 00:07:15,320 --> 00:07:18,640 Speaker 7: of the year at macro uncertainty and that led to 145 00:07:18,800 --> 00:07:22,240 Speaker 7: an impact on bookings and demand at United across the 146 00:07:22,280 --> 00:07:24,960 Speaker 7: whole industry. But it felt like there was a turning 147 00:07:25,000 --> 00:07:29,360 Speaker 7: point at the end of June where the tax bill 148 00:07:29,440 --> 00:07:31,800 Speaker 7: passed and the situation in the Middle East was calmer 149 00:07:32,280 --> 00:07:36,080 Speaker 7: and tariffs, while not certain, yet narrowing the range, and 150 00:07:36,120 --> 00:07:40,480 Speaker 7: it really felt like people felt enough confidence or lower 151 00:07:40,560 --> 00:07:42,680 Speaker 7: level of uncertainty that they kind of came off the 152 00:07:42,720 --> 00:07:44,080 Speaker 7: sidelines and were unfrozen. 153 00:07:44,560 --> 00:07:47,680 Speaker 4: All right, that was United CEO Scott Kirby. Let's bring 154 00:07:47,680 --> 00:07:50,720 Speaker 4: in the expert on all this, George Ferguson's Bloomber Intelligence 155 00:07:50,720 --> 00:07:54,920 Speaker 4: senior Aerospace, Defense and airlines analysts. George, thanks for joining us, 156 00:07:55,200 --> 00:07:58,760 Speaker 4: Scott Kirby. He seemed pretty confident, did he? 157 00:07:58,760 --> 00:08:01,240 Speaker 3: He does? But I guess he always sounds confident, right. 158 00:08:01,280 --> 00:08:05,040 Speaker 3: I think he's counting on some capacity cuts here in 159 00:08:05,080 --> 00:08:08,120 Speaker 3: the second half, and he talked about some of the 160 00:08:08,200 --> 00:08:11,840 Speaker 3: uncertainty going away, So I think it's a it'll get 161 00:08:11,880 --> 00:08:15,000 Speaker 3: better story. But yeah, too, c for him and for 162 00:08:15,080 --> 00:08:16,320 Speaker 3: Delta didn't look that great. 163 00:08:17,760 --> 00:08:19,679 Speaker 2: George, where's business travel today? 164 00:08:22,040 --> 00:08:24,320 Speaker 3: I'd like to tell you what the airlines try to 165 00:08:24,400 --> 00:08:27,120 Speaker 3: hide that, but you know, everything we can parse out 166 00:08:27,120 --> 00:08:31,520 Speaker 3: of sort of Delta and United earnings makes it sound 167 00:08:31,640 --> 00:08:36,640 Speaker 3: like it's lagging the leisure rebound and maybe back to 168 00:08:37,160 --> 00:08:41,360 Speaker 3: twenty nineteen levels, But that would again sort of still 169 00:08:41,400 --> 00:08:43,439 Speaker 3: be lagging. And so the sense I get is that 170 00:08:43,559 --> 00:08:47,439 Speaker 3: it hasn't come back as strongly as leisure, and these 171 00:08:47,480 --> 00:08:51,080 Speaker 3: airlines are more pointing to high end leisure as the 172 00:08:51,160 --> 00:08:53,040 Speaker 3: driver of their profitability. 173 00:08:53,600 --> 00:08:55,520 Speaker 4: George, I have to point out Newark Airport because I'm 174 00:08:55,520 --> 00:08:58,439 Speaker 4: a frequent visitor. There are a lot of issues there 175 00:08:58,559 --> 00:09:04,000 Speaker 4: right construction new there were outages, delays. When they asked, 176 00:09:04,000 --> 00:09:05,880 Speaker 4: you know, Scott Kirby about it, he said he was 177 00:09:05,960 --> 00:09:07,800 Speaker 4: kind of you know, optimistic about it, but he also 178 00:09:07,840 --> 00:09:10,640 Speaker 4: pointed out JFK would love to get in there. Has 179 00:09:10,679 --> 00:09:12,920 Speaker 4: this been kind of a sticking point for United. 180 00:09:14,679 --> 00:09:17,080 Speaker 3: Newark for sure, right because Newark they've got a strong 181 00:09:17,160 --> 00:09:21,720 Speaker 3: concentration of flights out of there. You know, he started 182 00:09:21,720 --> 00:09:24,000 Speaker 3: the call too today. You know, I get the sign 183 00:09:24,040 --> 00:09:26,000 Speaker 3: on for the first couple of minutes of it before 184 00:09:26,120 --> 00:09:29,360 Speaker 3: joining you, and you know, he was sort of alluding what 185 00:09:29,520 --> 00:09:34,160 Speaker 3: was going on at Newark Airport, and so you know, 186 00:09:34,400 --> 00:09:37,640 Speaker 3: I think it's I think we're starting to put behind 187 00:09:37,720 --> 00:09:41,640 Speaker 3: us the FAA problems. But Newark is always a challenging airport. 188 00:09:41,679 --> 00:09:44,680 Speaker 3: It has a lot of activity. You know, he said, 189 00:09:44,720 --> 00:09:48,839 Speaker 3: the FAA and the constituents there have gotten real about 190 00:09:48,840 --> 00:09:51,200 Speaker 3: the amount of throughput they could put around Newark. That 191 00:09:51,280 --> 00:09:54,480 Speaker 3: would be good because essentially Newark suffers from a whole 192 00:09:54,559 --> 00:09:56,760 Speaker 3: lot of throughput that's trying to get through that airport. 193 00:09:57,160 --> 00:09:58,559 Speaker 3: And then you get in the middle of summer and 194 00:09:58,600 --> 00:10:01,440 Speaker 3: you just have these weather events storms which we've been 195 00:10:01,480 --> 00:10:04,000 Speaker 3: having I think every day now in New Jersey, which 196 00:10:04,480 --> 00:10:09,679 Speaker 3: sort of royal the whole deal. So he sounded optimistic 197 00:10:09,760 --> 00:10:12,240 Speaker 3: that they've got a lot of the fix in place 198 00:10:12,280 --> 00:10:12,880 Speaker 3: for the airport. 199 00:10:13,360 --> 00:10:16,839 Speaker 2: George Ware, are we on air traffic controllers? I mean, now, 200 00:10:16,880 --> 00:10:19,839 Speaker 2: hard can this be? To staff this whole system up here? 201 00:10:19,880 --> 00:10:22,640 Speaker 2: I just don't get it. What's the status? 202 00:10:23,640 --> 00:10:25,560 Speaker 3: Yeah? So, I mean it just takes a long time 203 00:10:25,600 --> 00:10:27,840 Speaker 3: to train in air traffic control, longer than I would 204 00:10:27,880 --> 00:10:30,760 Speaker 3: have expected. I mean, the last numbers I've heard were 205 00:10:30,800 --> 00:10:33,360 Speaker 3: sort of over over a year. I think I want 206 00:10:33,400 --> 00:10:34,439 Speaker 3: to say it was like a year and a half, 207 00:10:34,520 --> 00:10:36,080 Speaker 3: but I have to go back and check my numbers 208 00:10:36,080 --> 00:10:40,240 Speaker 3: exactly on that one. You know, during the pandemic, you know, 209 00:10:40,280 --> 00:10:43,880 Speaker 3: we had people that probably not too jazzed about entering 210 00:10:43,920 --> 00:10:47,080 Speaker 3: that business because it was one of those where you 211 00:10:47,080 --> 00:10:49,160 Speaker 3: couldn't work from home. I think that worked from home 212 00:10:50,240 --> 00:10:53,680 Speaker 3: world is fading a bit now, But back again, during 213 00:10:53,679 --> 00:10:56,560 Speaker 3: the pandemic, it didn't seem that exciting. And I think 214 00:10:56,559 --> 00:11:01,040 Speaker 3: it has the problem that every other industry America, especially 215 00:11:01,120 --> 00:11:03,840 Speaker 3: the older industries, have, and that is there's a bunch 216 00:11:03,880 --> 00:11:08,160 Speaker 3: of baby boomers inside it. They're approaching retirement and actively 217 00:11:08,200 --> 00:11:11,720 Speaker 3: retiring at this point. And the backfill, again, it's not 218 00:11:12,360 --> 00:11:15,440 Speaker 3: the most exciting industry, I guess to go into. The 219 00:11:15,480 --> 00:11:18,440 Speaker 3: backfill has been harder. Recruitment has been harder, and when 220 00:11:18,440 --> 00:11:20,560 Speaker 3: you get behind them, recruitment and training takes a certain 221 00:11:20,559 --> 00:11:23,280 Speaker 3: amount of time. It takes a while to fill. And 222 00:11:23,360 --> 00:11:28,360 Speaker 3: so we're still in that attempt to refill phase again. 223 00:11:28,400 --> 00:11:31,120 Speaker 3: I think it's getting better as the economy maybe as 224 00:11:31,120 --> 00:11:33,880 Speaker 3: some of the labor market is not as white hot 225 00:11:33,920 --> 00:11:36,000 Speaker 3: as it was coming out of the pandemic, but we're 226 00:11:36,040 --> 00:11:37,520 Speaker 3: still behind the curve a bit, all right. 227 00:11:37,559 --> 00:11:39,760 Speaker 4: So we heard from United, We've also heard from Delta. 228 00:11:39,880 --> 00:11:42,719 Speaker 4: You know, all the numbers, But for me, what does 229 00:11:42,720 --> 00:11:45,679 Speaker 4: it mean for airline fares? Am I gonna have to 230 00:11:45,720 --> 00:11:47,000 Speaker 4: pay more for a ticket coming up? 231 00:11:48,320 --> 00:11:51,640 Speaker 3: You know? I think that there's going to be a 232 00:11:51,679 --> 00:11:55,280 Speaker 3: stabilization affairs here. But when we look at the second half, 233 00:11:55,559 --> 00:12:00,640 Speaker 3: we see capacity growth coming down. We still see capacity 234 00:12:00,800 --> 00:12:03,959 Speaker 3: growth though, and I think that we've seen it sort 235 00:12:04,000 --> 00:12:07,319 Speaker 3: of around GDP, and we kind of think that around 236 00:12:07,480 --> 00:12:12,160 Speaker 3: GDP levels of capacity growth doesn't firmfares and it doesn't 237 00:12:12,240 --> 00:12:15,920 Speaker 3: cut fares, and so I think you're you've seen some 238 00:12:16,160 --> 00:12:19,959 Speaker 3: cuts recently. I think you'll see this level of fair 239 00:12:20,080 --> 00:12:22,720 Speaker 3: going through the back half of the year and less 240 00:12:22,760 --> 00:12:26,920 Speaker 3: airlines cut more capacity, which would help them firmfares a 241 00:12:26,960 --> 00:12:30,120 Speaker 3: bit more. But again, we see growth that's right around 242 00:12:30,360 --> 00:12:32,720 Speaker 3: GDP growth, and so it doesn't look to me like 243 00:12:33,520 --> 00:12:36,160 Speaker 3: a scenario where you're going to see strong growth in 244 00:12:36,280 --> 00:12:37,400 Speaker 3: fares for the airlines. 245 00:12:37,800 --> 00:12:40,720 Speaker 2: George can't let you go without talking about Boeing because 246 00:12:40,720 --> 00:12:44,640 Speaker 2: for me, it's just kind of my quintessential great American company, 247 00:12:44,679 --> 00:12:49,640 Speaker 2: great engineering company, great manufacturing company, Seattle, Washington, won great 248 00:12:49,640 --> 00:12:53,040 Speaker 2: parts of the of the United States where they with 249 00:12:53,120 --> 00:12:56,320 Speaker 2: their seven thirty seven deliverables, because you've told us time 250 00:12:56,320 --> 00:12:58,599 Speaker 2: and time again over the years that that's really a 251 00:12:58,640 --> 00:12:59,840 Speaker 2: key metric for this company. 252 00:13:00,400 --> 00:13:02,720 Speaker 3: Yeah. So I think one of the great other American 253 00:13:02,760 --> 00:13:05,400 Speaker 3: companies gave us a little bit of insight this morning, 254 00:13:05,400 --> 00:13:09,000 Speaker 3: and that was GE. Right, and GE supplies the engines 255 00:13:09,040 --> 00:13:12,000 Speaker 3: to Boeing, and GE kind of guided down a bit 256 00:13:12,080 --> 00:13:15,000 Speaker 3: on margins for the back half of the year. Here, 257 00:13:15,040 --> 00:13:19,320 Speaker 3: I mean guided down like they're nice. Their commercial businesses 258 00:13:19,320 --> 00:13:22,080 Speaker 3: are like operating margins in the high twenties, right, which 259 00:13:22,080 --> 00:13:24,360 Speaker 3: is really super and they guided down to sort of 260 00:13:24,400 --> 00:13:28,120 Speaker 3: mid twenties. And that's a function of getting new engine 261 00:13:28,120 --> 00:13:32,560 Speaker 3: deliveries into Boeing engines for the triple seven engines for 262 00:13:32,640 --> 00:13:36,439 Speaker 3: seven thirty seven, Boeing has done a better job of delivering. 263 00:13:36,480 --> 00:13:39,400 Speaker 3: That's all about how they're going to win. And from 264 00:13:39,400 --> 00:13:41,760 Speaker 3: what I heard from Ge today, that's going to persist 265 00:13:42,000 --> 00:13:44,520 Speaker 3: through the back half of the of the year, which 266 00:13:44,559 --> 00:13:47,880 Speaker 3: is I think a strong positive for Boeing. Again, a 267 00:13:47,880 --> 00:13:50,079 Speaker 3: little bit of an EBB for Ge, but a strong 268 00:13:50,160 --> 00:13:51,000 Speaker 3: positive for Boeing. 269 00:13:51,360 --> 00:13:53,840 Speaker 2: George, thanks so much, appreciate it as always. George Ferguson, 270 00:13:53,880 --> 00:13:56,719 Speaker 2: Senior Aerospace, Defense and Airlines analysts for Bloomberg Intelligence or 271 00:13:56,720 --> 00:13:58,480 Speaker 2: at least a big question for you, and this is 272 00:13:58,480 --> 00:14:00,360 Speaker 2: going to tell me a lot about how who you 273 00:14:00,400 --> 00:14:03,400 Speaker 2: are as a personal boy isle or window seat on 274 00:14:03,400 --> 00:14:03,880 Speaker 2: the plane. 275 00:14:04,000 --> 00:14:07,840 Speaker 4: Oh i'le me too, yes, right, no, because I know, 276 00:14:07,920 --> 00:14:09,160 Speaker 4: but then if people have to get up and go 277 00:14:09,200 --> 00:14:10,840 Speaker 4: to the bathroom back and forth, that's kind of a pain. 278 00:14:10,880 --> 00:14:13,480 Speaker 2: But yeah, it depends. Like if I'm on a short flight, 279 00:14:13,600 --> 00:14:16,480 Speaker 2: I'll go window because I like the flying into New 280 00:14:16,559 --> 00:14:18,840 Speaker 2: York is always cool because fifty percent chance you're going 281 00:14:18,920 --> 00:14:19,960 Speaker 2: to get the view of the city and all that 282 00:14:20,040 --> 00:14:23,400 Speaker 2: kind of stuff. Okay, but it depends where I'm flying. 283 00:14:23,440 --> 00:14:26,680 Speaker 2: I'm flying somewhere cool. Maybe I'll try the windness set, 284 00:14:26,720 --> 00:14:29,520 Speaker 2: but buying large. I'm an aisle person like that. You 285 00:14:29,840 --> 00:14:31,440 Speaker 2: need to get up and you know, take care of 286 00:14:31,480 --> 00:14:32,720 Speaker 2: business you could do. 287 00:14:34,960 --> 00:14:38,680 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 288 00:14:38,760 --> 00:14:42,160 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 289 00:14:42,240 --> 00:14:45,320 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 290 00:14:45,360 --> 00:14:48,360 Speaker 1: get your podcasts, or watch us live on YouTube. 291 00:14:48,960 --> 00:14:53,480 Speaker 4: This is Bloomberg Intelligence. I'm Lis Smith's Hayo alongside Paul Sweeney. PEPSI. 292 00:14:53,560 --> 00:14:55,760 Speaker 4: Their shares get a nice boot this morning. They're about 293 00:14:55,800 --> 00:14:59,280 Speaker 4: six percent international customers, a big part of their nice 294 00:14:59,560 --> 00:15:02,880 Speaker 4: earnings that just came out here with all the details, 295 00:15:02,960 --> 00:15:07,960 Speaker 4: KENNI say Bloomberg Intelligence senior Consumer Products analysts, Kenneth, thanks 296 00:15:08,040 --> 00:15:11,040 Speaker 4: for joining us. Positive results. This is pretty good for 297 00:15:11,080 --> 00:15:12,760 Speaker 4: them because it's the time when people are a little 298 00:15:12,760 --> 00:15:15,600 Speaker 4: bit more health conscience. Maybe you know, there's some negativity 299 00:15:15,600 --> 00:15:18,080 Speaker 4: around soda processed food, so this is pretty good news 300 00:15:18,080 --> 00:15:18,360 Speaker 4: for them. 301 00:15:19,680 --> 00:15:24,880 Speaker 6: Yeah, hih, Lisa, Yeah, I would ascribed today's rally in PepsiCo, though, 302 00:15:25,040 --> 00:15:27,480 Speaker 6: where do a relief rally. You know, sentiment has been 303 00:15:27,480 --> 00:15:30,800 Speaker 6: pretty low on Pepsi since our last report in the 304 00:15:30,800 --> 00:15:34,200 Speaker 6: first quarter, they lowered their guidance. Wasn't really strong report. 305 00:15:34,520 --> 00:15:38,040 Speaker 6: This one, I think was a report of stabilization. Organic 306 00:15:38,040 --> 00:15:42,560 Speaker 6: growth was about up two percent in the quarter. Wasn't great, 307 00:15:43,200 --> 00:15:46,320 Speaker 6: you know, but it was above the one percent expectation. 308 00:15:47,760 --> 00:15:51,320 Speaker 6: Operating margins widen analysts love to see that, and I 309 00:15:51,680 --> 00:15:53,560 Speaker 6: guess the last piece of good news is they gave 310 00:15:53,640 --> 00:15:56,280 Speaker 6: a good sense of good innovation that's coming in the 311 00:15:56,320 --> 00:16:00,600 Speaker 6: fourth quarter and first quarter next year in the area 312 00:16:00,680 --> 00:16:04,040 Speaker 6: of protein drinks and as we know, everybody on GLP 313 00:16:04,120 --> 00:16:07,480 Speaker 6: one drugs these days are looking for protein supplements and 314 00:16:07,520 --> 00:16:10,040 Speaker 6: that really is an on trend innovation. I think people 315 00:16:10,080 --> 00:16:12,160 Speaker 6: are getting excited about. 316 00:16:11,880 --> 00:16:14,760 Speaker 2: The can A lot of folks, including myself, have gone 317 00:16:14,880 --> 00:16:20,280 Speaker 2: to private label goods when shopping in the supermarket, trying 318 00:16:20,280 --> 00:16:22,880 Speaker 2: to you know, fight this inflation thing out there. Does 319 00:16:22,960 --> 00:16:29,400 Speaker 2: Pepsi with their brands, are they seeing that as a headwind, you. 320 00:16:29,360 --> 00:16:32,320 Speaker 6: Know, Paul not really not in their big freeedola a franchise. 321 00:16:32,480 --> 00:16:34,440 Speaker 6: This is a you know, the eight hundred pound guerrilla 322 00:16:34,760 --> 00:16:38,600 Speaker 6: in a snack aisle. It continues to gain share, believe 323 00:16:38,600 --> 00:16:42,840 Speaker 6: it or not, at least on volumes. I think some 324 00:16:42,880 --> 00:16:45,040 Speaker 6: of the problem with free delay foods I should say 325 00:16:45,200 --> 00:16:47,720 Speaker 6: they're overall food they combined quicker with free to lay 326 00:16:47,840 --> 00:16:52,120 Speaker 6: last quarter is that I think consumers are a little 327 00:16:52,160 --> 00:16:55,480 Speaker 6: more price weary to your point, but so I think 328 00:16:55,520 --> 00:16:58,440 Speaker 6: they've held the line a little bit with with things 329 00:16:58,520 --> 00:17:02,480 Speaker 6: like you know, bundle old package sizes and things like that. 330 00:17:03,040 --> 00:17:06,479 Speaker 6: But you know, the company says it's really turning its 331 00:17:06,480 --> 00:17:10,560 Speaker 6: attention more to productivity and costs to get that business going. 332 00:17:10,920 --> 00:17:15,080 Speaker 6: In the second quarter, comparable profits were around thirteen percent 333 00:17:15,119 --> 00:17:18,960 Speaker 6: in that business is not great showing. So fortunately for them, 334 00:17:19,000 --> 00:17:23,720 Speaker 6: though in this quarter, the international area and Pepsi beverages 335 00:17:24,480 --> 00:17:26,880 Speaker 6: did pretty well and more than I'll set that weakness. 336 00:17:27,400 --> 00:17:27,560 Speaker 5: Now. 337 00:17:27,560 --> 00:17:30,959 Speaker 4: You were talking before about GLP one, So yes, people 338 00:17:31,359 --> 00:17:33,439 Speaker 4: going for the more protein like how you said, but 339 00:17:33,680 --> 00:17:37,080 Speaker 4: also wanting to eat smaller portions, and that's something that 340 00:17:37,240 --> 00:17:41,200 Speaker 4: Pepsi is changing with its snacks, right, making the packaging smaller. 341 00:17:41,240 --> 00:17:44,560 Speaker 6: Is that correct, That's right, It's a trend. It's been 342 00:17:44,560 --> 00:17:47,240 Speaker 6: going for a while, and I think they were pleasantly 343 00:17:47,280 --> 00:17:51,320 Speaker 6: surprised as their competitors, Coca Cola and Carragure. When they 344 00:17:51,400 --> 00:17:54,200 Speaker 6: rolled out the mini cans years ago, there's let about 345 00:17:54,240 --> 00:17:58,320 Speaker 6: cry that you know, sugary drinks were adding too many calories, 346 00:17:58,400 --> 00:18:01,920 Speaker 6: so they came out with us smaller versions and kind 347 00:18:01,920 --> 00:18:04,879 Speaker 6: of like a portion control kind of thing. What they 348 00:18:05,040 --> 00:18:08,760 Speaker 6: probably underestimated was how much that contributed to price mixed 349 00:18:08,760 --> 00:18:12,919 Speaker 6: because obviously the unit prices are higher with those smaller cans, 350 00:18:13,200 --> 00:18:16,000 Speaker 6: and they've extended that same kind of concept to a 351 00:18:16,000 --> 00:18:19,120 Speaker 6: lot of their you know, snacks as well, whether it's 352 00:18:19,119 --> 00:18:21,320 Speaker 6: a Cheetos or feudal A and so on. To your point, 353 00:18:21,520 --> 00:18:23,680 Speaker 6: and a lot of the food package food items as well. 354 00:18:24,280 --> 00:18:27,440 Speaker 6: Smaller is also more convenient, so it also plays into 355 00:18:28,080 --> 00:18:31,119 Speaker 6: consumer trends for portability as much as it is for 356 00:18:31,200 --> 00:18:32,000 Speaker 6: calorie counts. 357 00:18:32,720 --> 00:18:36,639 Speaker 2: I like the smaller cans of soda. That's perfect for me. 358 00:18:36,720 --> 00:18:39,679 Speaker 2: The twelve ounces was too much. These things are just 359 00:18:39,920 --> 00:18:43,280 Speaker 2: perfect for me, So kudos to all those folks. So 360 00:18:43,920 --> 00:18:46,440 Speaker 2: what I like about a lot of the names that 361 00:18:46,520 --> 00:18:51,120 Speaker 2: Ken Shake covers is their big, nice, juicy dividend payers. 362 00:18:51,480 --> 00:18:54,000 Speaker 2: I'm looking at Pepsi just about a three almost a 363 00:18:54,040 --> 00:18:58,400 Speaker 2: four percent dividend yield here Ken, how do your companies, 364 00:18:58,440 --> 00:18:59,880 Speaker 2: like the Pepsis of the world, how did they think 365 00:19:00,000 --> 00:19:01,280 Speaker 2: about their dividend policy. 366 00:19:02,800 --> 00:19:04,800 Speaker 6: Well, they are very much committed to it. They know 367 00:19:04,880 --> 00:19:08,919 Speaker 6: that their shareholder base is very income oriented and so 368 00:19:10,359 --> 00:19:13,560 Speaker 6: and you know, it serves the company well to have 369 00:19:13,600 --> 00:19:16,919 Speaker 6: a policy like that. Buy and Lawrence is the dips 370 00:19:16,920 --> 00:19:19,359 Speaker 6: and you know, consumer spending goes up and down, you know, 371 00:19:19,440 --> 00:19:23,320 Speaker 6: depending on the whims of you know, economics. These are 372 00:19:23,359 --> 00:19:28,840 Speaker 6: businesses that are typically recession proof, cycle proof, and so 373 00:19:28,880 --> 00:19:33,080 Speaker 6: they take these steady cash flows and they do a 374 00:19:33,160 --> 00:19:38,080 Speaker 6: nice balancing act of reinvesting with innovation. They're always looking 375 00:19:38,119 --> 00:19:40,800 Speaker 6: for productivity improvements that bore fruit this quarter. 376 00:19:41,640 --> 00:19:41,760 Speaker 4: Uh. 377 00:19:42,160 --> 00:19:45,960 Speaker 6: And they take care of shareholders first two dividend and 378 00:19:46,000 --> 00:19:49,480 Speaker 6: then on a more selective basis, share buybacks. So they 379 00:19:49,480 --> 00:19:52,000 Speaker 6: have a lot of levers to pull to reward shareholders 380 00:19:52,040 --> 00:19:53,919 Speaker 6: with an income stream that predictable. 381 00:19:54,119 --> 00:19:56,919 Speaker 2: Yeah, I mean, I'm looking at the comp function for 382 00:19:57,119 --> 00:19:59,320 Speaker 2: Pepsi in the last five years. Compound and any return 383 00:19:59,359 --> 00:20:01,680 Speaker 2: about six perc for the stock. But then you throw 384 00:20:01,720 --> 00:20:04,000 Speaker 2: in that four percent dividend, Neil, that's a ten percent return. 385 00:20:04,040 --> 00:20:06,199 Speaker 2: It's not a bad way to make a living. So 386 00:20:06,240 --> 00:20:07,800 Speaker 2: that's how I think a lot of people look at 387 00:20:07,800 --> 00:20:11,920 Speaker 2: those Staples stocks out there. Kenscha covers them all. He's 388 00:20:11,920 --> 00:20:15,280 Speaker 2: a senior Consumer Product Sannels for Bloomberg Intelligence. He's down 389 00:20:15,320 --> 00:20:18,120 Speaker 2: there in our Princeton office, although I'm guessing he's probably 390 00:20:18,359 --> 00:20:20,720 Speaker 2: working from home because that is a thing now for 391 00:20:21,280 --> 00:20:22,000 Speaker 2: a lot of folks. 392 00:20:22,440 --> 00:20:27,119 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apple, Spotify, 393 00:20:27,320 --> 00:20:30,760 Speaker 1: and anywhere else you get your podcasts. Listen live each 394 00:20:30,800 --> 00:20:34,520 Speaker 1: weekday ten am to noon Eastern on Bloomberg dot com, 395 00:20:34,680 --> 00:20:38,200 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business app. 396 00:20:38,640 --> 00:20:41,520 Speaker 1: You can also watch us live every weekday on YouTube 397 00:20:41,960 --> 00:20:44,200 Speaker 1: and always on the Bloomberg terminal.