1 00:00:02,520 --> 00:00:07,000 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:08,640 --> 00:00:13,000 Speaker 2: This is Bloomberg business Week, Daily reporting from the magazine 3 00:00:13,000 --> 00:00:17,599 Speaker 2: that helps global leaders stay ahead with insight on the people, companies, 4 00:00:17,640 --> 00:00:22,520 Speaker 2: and trends shaping today's complex economy. Plus global business finance 5 00:00:22,560 --> 00:00:25,880 Speaker 2: and tech news as it happens. The Bloomberg Business Week 6 00:00:25,960 --> 00:00:31,320 Speaker 2: Daily Podcast with Carol Masser and Tim Stenebek on Bloomberg Radio. 7 00:00:31,680 --> 00:00:35,040 Speaker 3: Shares of Amazon hire in the aftermarket. Let's get to 8 00:00:35,080 --> 00:00:38,240 Speaker 3: it with our team. Two members killer members, if you will, 9 00:00:38,240 --> 00:00:41,040 Speaker 3: of our Bloomberg Intelligence team. We're talking about Punham Goyle, 10 00:00:41,080 --> 00:00:44,080 Speaker 3: She's Bloomberg Intelligence Senior analyst for e Commerce and ath Leisure, 11 00:00:44,120 --> 00:00:47,800 Speaker 3: and Anna Agrana, Bloomberg Intelligence Senior technology analysts. 12 00:00:48,000 --> 00:00:48,320 Speaker 4: Put them. 13 00:00:48,400 --> 00:00:50,880 Speaker 3: Let me kick it off with you. In terms of Amazon, 14 00:00:51,200 --> 00:00:52,400 Speaker 3: what's jumping out here for you? 15 00:00:53,760 --> 00:00:56,800 Speaker 5: Look, it looks like Broadbates Bob, broad based strength across 16 00:00:56,840 --> 00:00:59,280 Speaker 5: the board. The retail numbers were particularly good, and that 17 00:00:59,360 --> 00:01:01,640 Speaker 5: was expected because we had the prime day shift moving 18 00:01:01,640 --> 00:01:05,119 Speaker 5: in from three Q to two Q. So overall, really 19 00:01:05,200 --> 00:01:07,840 Speaker 5: nice numbers here on the retail side. Consumers came to 20 00:01:07,880 --> 00:01:10,560 Speaker 5: Amazon to shop prime day sales, and the shift to 21 00:01:10,640 --> 00:01:13,360 Speaker 5: online just continues to appear more and more apparent as 22 00:01:13,400 --> 00:01:15,520 Speaker 5: we moved through a tough consumer spending cycle. 23 00:01:15,800 --> 00:01:18,680 Speaker 1: What's this third quarter net sales miss one ninety seven 24 00:01:18,720 --> 00:01:20,520 Speaker 1: to two hundred and two billion, the estimates for two 25 00:01:20,560 --> 00:01:21,920 Speaker 1: hundred and four billion dollars poon. 26 00:01:21,959 --> 00:01:22,160 Speaker 4: Hm. 27 00:01:23,000 --> 00:01:24,840 Speaker 5: I think part of it is the prime day shift, 28 00:01:24,880 --> 00:01:25,800 Speaker 5: right when you think about. 29 00:01:26,000 --> 00:01:28,160 Speaker 1: But analysts knew about that, so they should have. 30 00:01:28,280 --> 00:01:30,200 Speaker 5: Yes, but we don't know how much, right, we don't 31 00:01:30,240 --> 00:01:32,960 Speaker 5: know how much dollar volume has moved into two Q. 32 00:01:33,000 --> 00:01:34,800 Speaker 5: If you look at the beat that we saw, analysts 33 00:01:34,840 --> 00:01:38,520 Speaker 5: were expecting revenues to be up, but they came and 34 00:01:38,560 --> 00:01:40,919 Speaker 5: even higher them though, right, thirteen point seven percent online 35 00:01:40,920 --> 00:01:43,640 Speaker 5: revenues was the expectation and they came in at fifteen percent. 36 00:01:44,080 --> 00:01:47,200 Speaker 5: So a couple of billion dollars there could be part 37 00:01:47,440 --> 00:01:49,480 Speaker 5: of the movement that we're seeing here in the guidance 38 00:01:49,520 --> 00:01:49,880 Speaker 5: as well. 39 00:01:49,960 --> 00:01:52,920 Speaker 3: All right, and rok Kman in on here. Let's talk 40 00:01:52,960 --> 00:01:58,080 Speaker 3: about AWS. What doing pretty well, to say the. 41 00:01:58,120 --> 00:02:01,960 Speaker 6: Least, actually much much better than what I would have 42 00:02:02,280 --> 00:02:05,720 Speaker 6: expected them in going from to thirty seven in constant 43 00:02:05,760 --> 00:02:08,960 Speaker 6: currency is phenomenal just because the size of this business 44 00:02:09,040 --> 00:02:10,880 Speaker 6: is so large, I mean, it's so much bigger than 45 00:02:10,919 --> 00:02:13,840 Speaker 6: Oracle and so much bigger than Google. But this is 46 00:02:13,880 --> 00:02:16,359 Speaker 6: a very big beat, frankly, and the bigger thing. The 47 00:02:16,400 --> 00:02:18,800 Speaker 6: biggest surprise for me was the margins. I would have 48 00:02:18,840 --> 00:02:21,640 Speaker 6: expected margins to go down with all these investments that 49 00:02:21,639 --> 00:02:24,799 Speaker 6: actually went up. So, you know, kudos to the AWS 50 00:02:24,840 --> 00:02:27,520 Speaker 6: team and we look to hear more about guidance for 51 00:02:27,520 --> 00:02:29,960 Speaker 6: a next quarter, and you know, how much longer can 52 00:02:29,960 --> 00:02:31,000 Speaker 6: these margins hold up? 53 00:02:31,560 --> 00:02:34,440 Speaker 1: Honor Rock. The AI and chips run rate, the each 54 00:02:34,440 --> 00:02:38,880 Speaker 1: eclipsed run rates of over twenty five billion dollars. Can 55 00:02:38,919 --> 00:02:42,400 Speaker 1: textualize that for US, as Romaine said, a division of 56 00:02:42,440 --> 00:02:45,440 Speaker 1: a division with twenty five billion dollar run rates. 57 00:02:46,080 --> 00:02:46,320 Speaker 7: Yeah. 58 00:02:46,400 --> 00:02:48,720 Speaker 6: I mean to be honest, I don't really care that 59 00:02:48,800 --> 00:02:51,239 Speaker 6: much about the AI net number. The number of the 60 00:02:51,320 --> 00:02:53,919 Speaker 6: chips is the one that I find it more exciting 61 00:02:53,960 --> 00:02:57,480 Speaker 6: because here's the thing. All these big companies that are 62 00:02:57,480 --> 00:03:00,600 Speaker 6: spending all this CAPEX, A large portion of that CAPIX 63 00:03:00,639 --> 00:03:04,440 Speaker 6: is going to buy GPUs and Vidio GPUs. If Amazon 64 00:03:04,480 --> 00:03:07,360 Speaker 6: can go and figure out their workloads onto their own chips, 65 00:03:07,639 --> 00:03:10,520 Speaker 6: it saves them massive amount of money and helps them 66 00:03:10,560 --> 00:03:13,480 Speaker 6: recognize the big backlock that they have without having to 67 00:03:13,520 --> 00:03:15,680 Speaker 6: spend you know, given video that cash flow. I think 68 00:03:15,720 --> 00:03:19,000 Speaker 6: that's one of the biggest differentiatives between Google, Amazon, and 69 00:03:19,080 --> 00:03:21,960 Speaker 6: Microsoft is you know, the first to have their own 70 00:03:22,040 --> 00:03:25,240 Speaker 6: chips that people are embracing at a fast pace. Meanwhile, 71 00:03:25,320 --> 00:03:27,200 Speaker 6: that's not the case with Microsoft. 72 00:03:27,639 --> 00:03:29,600 Speaker 3: Yeah, I think it's just fascinating. As I said, I 73 00:03:29,600 --> 00:03:31,600 Speaker 3: don't always think about Amazon as a chip company, but 74 00:03:31,639 --> 00:03:33,160 Speaker 3: you got to remember that they are doing this, and 75 00:03:33,240 --> 00:03:37,080 Speaker 3: increasingly these big tech guys are doing it. Put them 76 00:03:37,120 --> 00:03:39,720 Speaker 3: Come on back in here, anything here, I know we're 77 00:03:39,720 --> 00:03:42,080 Speaker 3: still getting information. There's still stuff we're going to get 78 00:03:42,080 --> 00:03:44,120 Speaker 3: on the analysts called anything there that you find is 79 00:03:44,560 --> 00:03:47,000 Speaker 3: maybe something that's worth digging a little bit deeper into 80 00:03:47,120 --> 00:03:48,160 Speaker 3: and asking about. 81 00:03:49,320 --> 00:03:51,960 Speaker 5: I think the advertising business saw a nice pickup, right, 82 00:03:52,000 --> 00:03:54,960 Speaker 5: twenty six percent growth rates this quarter is a is 83 00:03:55,000 --> 00:03:56,960 Speaker 5: a step up from the close to twenty percent that 84 00:03:57,000 --> 00:03:59,800 Speaker 5: they've been reporting for the past few quarters. Was that 85 00:03:59,840 --> 00:04:02,600 Speaker 5: also led by the prime day shift given such a 86 00:04:02,600 --> 00:04:06,120 Speaker 5: big event moved into the second quarter to advertising dollars 87 00:04:06,120 --> 00:04:09,480 Speaker 5: shift too, and we will we see that slowed down 88 00:04:09,560 --> 00:04:12,320 Speaker 5: a little in the next quarter. So I'm really looking 89 00:04:12,320 --> 00:04:16,359 Speaker 5: to better understand how this prime day shift affected and 90 00:04:16,480 --> 00:04:19,320 Speaker 5: helped to queue across the board and what it really 91 00:04:19,320 --> 00:04:21,840 Speaker 5: does to three Q. They've never quantified it, so we're 92 00:04:21,839 --> 00:04:22,839 Speaker 5: hoping to get some color. 93 00:04:23,200 --> 00:04:27,279 Speaker 1: Well, how big is prime Like how big is Prime Day? 94 00:04:27,279 --> 00:04:30,240 Speaker 1: Because I know we know from a metrics perspective, but 95 00:04:30,320 --> 00:04:33,520 Speaker 1: Prime Day kind of started a few years ago as 96 00:04:33,560 --> 00:04:36,839 Speaker 1: this offshoot of what was it Alibaba doing Singles Day? 97 00:04:37,120 --> 00:04:39,440 Speaker 1: Is that what sort of inspired it years ago? 98 00:04:39,600 --> 00:04:41,800 Speaker 5: I mean that could have inspired it. But you know 99 00:04:41,839 --> 00:04:43,720 Speaker 5: Prime Day was a once a year phenomenal. 100 00:04:43,880 --> 00:04:45,760 Speaker 1: Yeah, I know, it's like holiday right a week. 101 00:04:45,839 --> 00:04:49,440 Speaker 5: It's now twice a year, right, So it's really just 102 00:04:49,600 --> 00:04:53,040 Speaker 5: a move to pull shoppers to spend earlier. So if 103 00:04:53,040 --> 00:04:55,400 Speaker 5: you think about the timing of Prime Day, right this time, 104 00:04:55,440 --> 00:04:58,920 Speaker 5: they moved it into June usually in July, so really 105 00:04:59,000 --> 00:05:02,320 Speaker 5: capturing spend for back to school, for these peak holiday 106 00:05:02,320 --> 00:05:05,720 Speaker 5: moments where consumers are looking to stretch their dollars. They're 107 00:05:05,800 --> 00:05:08,960 Speaker 5: essentially taking the dollars up front and trying to get 108 00:05:08,960 --> 00:05:13,120 Speaker 5: the consumers suspend it with them versus elsewhere. Does that happen? 109 00:05:13,720 --> 00:05:16,400 Speaker 5: Yes and no, because around Prime Day, it's not just 110 00:05:16,480 --> 00:05:19,719 Speaker 5: Amazon that's striking the deals. It's also Walmart, it's also Target, 111 00:05:19,760 --> 00:05:22,880 Speaker 5: it's also best Buy. Everyone is having their own version 112 00:05:22,920 --> 00:05:24,320 Speaker 5: of deals around this day. 113 00:05:24,400 --> 00:05:27,080 Speaker 3: Anything to get us to buy I know how that works. Hey, 114 00:05:27,200 --> 00:05:30,200 Speaker 3: Just to remind everybody we're talking with Putnamcoil Bloomberg Intelligence 115 00:05:30,240 --> 00:05:33,600 Speaker 3: senior analysts for e commerce and at Leisure, Anaragrana, Bloomberg Intelligence, 116 00:05:33,640 --> 00:05:37,520 Speaker 3: senior technology analyst joining us. If you have a question, 117 00:05:37,680 --> 00:05:40,000 Speaker 3: let us know. We'd love to bring you into the conversation. 118 00:05:40,400 --> 00:05:43,440 Speaker 3: For those who are Bloomberg dot com subscribers and terminal clients, 119 00:05:44,800 --> 00:05:47,720 Speaker 3: ask a question of our panelist. Just submit questions for 120 00:05:47,800 --> 00:05:51,240 Speaker 3: our team to answer live on air Bloomberg dot com 121 00:05:51,279 --> 00:05:54,360 Speaker 3: slash ask Radio. Send them to Bloomberg dot com slash 122 00:05:54,400 --> 00:05:57,880 Speaker 3: ask Radio, and then you can certainly catch their answers 123 00:05:58,000 --> 00:05:58,960 Speaker 3: live on air with us. 124 00:05:59,000 --> 00:06:00,520 Speaker 1: Hey, I want to just look at the shares of 125 00:06:00,600 --> 00:06:04,800 Speaker 1: roadblocks real quick. The gaming company down about eleven percent 126 00:06:05,040 --> 00:06:07,359 Speaker 1: in the after hours, just taking a look at what 127 00:06:07,480 --> 00:06:10,600 Speaker 1: exactly is happening. Second quarter daily active users came in 128 00:06:10,680 --> 00:06:12,880 Speaker 1: below estimates one hundred and twenty three million. The SMOs 129 00:06:12,880 --> 00:06:15,760 Speaker 1: for one hundred and twenty eight point seven million dollar 130 00:06:16,080 --> 00:06:19,239 Speaker 1: million users. That was really that what missed the average 131 00:06:19,240 --> 00:06:22,359 Speaker 1: analyst estimate, and that is what has has investors concern. 132 00:06:22,440 --> 00:06:25,680 Speaker 1: Bookings came in a little shy. Hours engaged came in shy. 133 00:06:25,800 --> 00:06:28,600 Speaker 1: Revenue did come in higher than expected, though a loss 134 00:06:28,640 --> 00:06:30,560 Speaker 1: per share at twenty six cents. The estimos for a 135 00:06:30,600 --> 00:06:33,360 Speaker 1: lost percent at thirty four cents lost per share rather 136 00:06:33,480 --> 00:06:35,680 Speaker 1: shares down eleven and a half percent from the after. 137 00:06:35,480 --> 00:06:38,360 Speaker 3: Hours all right, so getting hammered. Going in the other direction, 138 00:06:38,400 --> 00:06:41,200 Speaker 3: shares of Amazon continuing to rally. Our spencer soper out 139 00:06:41,240 --> 00:06:44,800 Speaker 3: with his story. Amazon reported cloud computing revenue that beat 140 00:06:44,839 --> 00:06:49,000 Speaker 3: analyst estimates, with booming demand for artificial intelligence services accelerating 141 00:06:49,000 --> 00:06:52,560 Speaker 3: sales for the fifth straight word. Revenue jump thirty seven 142 00:06:52,600 --> 00:06:55,880 Speaker 3: percent to forty two point two billion at Amazon Web Services, 143 00:06:55,880 --> 00:06:58,560 Speaker 3: which generates about a fifth of the company's revenue and 144 00:06:58,640 --> 00:07:01,960 Speaker 3: most of its operating offit. It was the fastest base 145 00:07:02,000 --> 00:07:04,360 Speaker 3: of growth since the fourth quarter of twenty twenty one. 146 00:07:04,400 --> 00:07:07,880 Speaker 3: Analyston average forecast sales of forty point six billion, according 147 00:07:07,920 --> 00:07:12,320 Speaker 3: to data compiled by Bloomberg. You know, anaug you have 148 00:07:12,480 --> 00:07:17,720 Speaker 3: Amazon against the other hyperscalers. What is it that's unique? 149 00:07:17,760 --> 00:07:19,160 Speaker 3: I mean you talk a little bit about the chips, 150 00:07:19,160 --> 00:07:21,880 Speaker 3: and that certainly kind of keeps a lid on some 151 00:07:21,960 --> 00:07:25,600 Speaker 3: of their costs and their access situation among the chip 152 00:07:25,640 --> 00:07:28,920 Speaker 3: demands that we've seen out there. But what is the 153 00:07:29,000 --> 00:07:30,560 Speaker 3: special sauce of Amazon? 154 00:07:32,280 --> 00:07:34,920 Speaker 6: So the first and foremost, it is the largest public 155 00:07:34,920 --> 00:07:38,440 Speaker 6: cloud provider. It has a much longer history of working 156 00:07:38,480 --> 00:07:42,280 Speaker 6: with enterprises. So remember when we talk about AI adoption, 157 00:07:42,920 --> 00:07:46,960 Speaker 6: you think about chid gpd app, it's primarily hosted on 158 00:07:47,040 --> 00:07:50,040 Speaker 6: Microsoft Asure that's a consumer app. But now you think 159 00:07:50,080 --> 00:07:53,880 Speaker 6: about AWS and enterprise AI adoption, that's where a lot 160 00:07:53,920 --> 00:07:56,800 Speaker 6: of large companies around the world would be building their 161 00:07:57,200 --> 00:08:00,920 Speaker 6: application or they would be infusing AI into their older application. 162 00:08:01,000 --> 00:08:03,680 Speaker 6: So that's a big difference, is the enterprise presence as 163 00:08:03,760 --> 00:08:06,120 Speaker 6: well as the and you know, for the Microsoft is 164 00:08:06,120 --> 00:08:09,200 Speaker 6: on the consumer side. Microsoft does both, but for Amazon 165 00:08:09,280 --> 00:08:12,000 Speaker 6: that's primarily the bread and butter. The other thing is 166 00:08:12,080 --> 00:08:15,600 Speaker 6: they're also the key or the preferred cloud provider for 167 00:08:15,680 --> 00:08:19,080 Speaker 6: anthropic and we have seen a massive boost in anthropics 168 00:08:19,240 --> 00:08:22,160 Speaker 6: use for coding agents, and I think that's also helping 169 00:08:22,200 --> 00:08:25,480 Speaker 6: AWS in that case. And then if you think you 170 00:08:25,520 --> 00:08:29,240 Speaker 6: know the future of AI is enterprise adoption, you know, 171 00:08:29,280 --> 00:08:31,760 Speaker 6: Amazon has a lot of data, it has a lot 172 00:08:31,760 --> 00:08:34,480 Speaker 6: of services, so it's right in the middle of this 173 00:08:34,800 --> 00:08:38,479 Speaker 6: entire I would say a diffusion within companies. 174 00:08:39,520 --> 00:08:41,560 Speaker 1: I want to bring in Ed Lolo to the conversation. 175 00:08:41,760 --> 00:08:45,280 Speaker 1: He's the host of Bloomberg Tech out there in San Francisco. 176 00:08:45,800 --> 00:08:49,440 Speaker 1: And what sticks out to you? Amazon's numbers up, the 177 00:08:49,440 --> 00:08:51,880 Speaker 1: stock up eight point nine percent in the after hour? Yeah, 178 00:08:52,000 --> 00:08:52,760 Speaker 1: what's sticks on you? 179 00:08:53,760 --> 00:08:55,560 Speaker 8: And Ana Rag will forgive me because I missed the 180 00:08:55,600 --> 00:08:57,320 Speaker 8: first part of your conversation. I was on the phone 181 00:08:57,320 --> 00:08:59,640 Speaker 8: with the CFO. But I mean, this is a bet 182 00:08:59,640 --> 00:09:03,400 Speaker 8: on every metric where AWS absolutely matters most. You know, 183 00:09:03,480 --> 00:09:07,520 Speaker 8: thirty seven percent growth against street expectation of thirty one percent. 184 00:09:08,720 --> 00:09:11,320 Speaker 8: You know, it's it's a pretty straightforward set of numbers 185 00:09:11,360 --> 00:09:14,080 Speaker 8: where you know they will be peppered with questions on 186 00:09:14,120 --> 00:09:16,439 Speaker 8: the call for the same magic formula that we discussed 187 00:09:16,800 --> 00:09:20,319 Speaker 8: in the last few afternoons, capital expenditure, direction of travel, 188 00:09:20,480 --> 00:09:23,920 Speaker 8: and other points of tangible evidence that the AI from 189 00:09:23,960 --> 00:09:26,280 Speaker 8: Amazon is gaining traction in its different guises. 190 00:09:26,360 --> 00:09:29,319 Speaker 1: What did you hear from the c CFO that. 191 00:09:29,679 --> 00:09:31,680 Speaker 8: As I suppose to the CFO of a different company, 192 00:09:32,120 --> 00:09:33,200 Speaker 8: described are your comes things? 193 00:09:33,200 --> 00:09:35,199 Speaker 1: Which CFO? Which CFL were you talking to? 194 00:09:35,360 --> 00:09:37,040 Speaker 8: Sorry, I was talking to the I was talking to 195 00:09:37,080 --> 00:09:37,600 Speaker 8: the rivians. 196 00:09:37,640 --> 00:09:39,679 Speaker 1: Okay, we're going to get to that later. 197 00:09:39,960 --> 00:09:44,320 Speaker 8: Okay, great, but yeah, like again, you know an ANORAG like, 198 00:09:44,440 --> 00:09:46,520 Speaker 8: I'm such a massive ANAG fan, and so if I 199 00:09:46,520 --> 00:09:48,520 Speaker 8: say something and he's like, that's done, let him say 200 00:09:48,559 --> 00:09:52,160 Speaker 8: it's done. But you know, operating income also like a 201 00:09:52,240 --> 00:09:55,200 Speaker 8: huge beat. And you know, if the concern of the 202 00:09:55,240 --> 00:09:59,160 Speaker 8: market for the hyperscalers is that they want to see 203 00:09:59,520 --> 00:10:03,000 Speaker 8: free CA flow and profit and a commitment to spend 204 00:10:03,040 --> 00:10:05,160 Speaker 8: and continue top line growth, they kind of got all 205 00:10:05,200 --> 00:10:07,800 Speaker 8: of that. There's not a lot left to complain about, 206 00:10:07,920 --> 00:10:08,400 Speaker 8: is there. 207 00:10:11,200 --> 00:10:12,680 Speaker 3: Anna Rog you want to come in on that. 208 00:10:12,880 --> 00:10:15,280 Speaker 6: No, I absolutely agree with that. In fact, that's what 209 00:10:15,400 --> 00:10:17,080 Speaker 6: I was trying to figure out. Can I find any 210 00:10:17,120 --> 00:10:20,120 Speaker 6: mistakes over here? But we don't. And in fact, which 211 00:10:20,120 --> 00:10:21,640 Speaker 6: is why I said, you know, when you think of 212 00:10:21,800 --> 00:10:24,959 Speaker 6: enterprise adoption and AI, you really cannot think of anybody 213 00:10:24,960 --> 00:10:28,400 Speaker 6: better than AWS because of given that how much of 214 00:10:28,559 --> 00:10:32,960 Speaker 6: world applications the house already you know, within their ecosystem. 215 00:10:33,040 --> 00:10:35,960 Speaker 6: So the big question now is how much they have 216 00:10:36,080 --> 00:10:39,559 Speaker 6: to spend for the next twelve months to get this 217 00:10:39,720 --> 00:10:42,959 Speaker 6: kind of rate going. We saw the AWUS growth rate 218 00:10:43,040 --> 00:10:46,240 Speaker 6: jump to thirty seven percent. You know next quarter, is 219 00:10:46,280 --> 00:10:48,560 Speaker 6: it going to be faster than that or do we 220 00:10:48,600 --> 00:10:51,160 Speaker 6: see some moderation in that? So now we are really 221 00:10:51,200 --> 00:10:53,800 Speaker 6: getting into, to be honest, fifty basis points here or 222 00:10:53,800 --> 00:10:56,440 Speaker 6: one hundred basis points here, it's are you're nitpicking at 223 00:10:56,440 --> 00:10:56,839 Speaker 6: this point? 224 00:10:56,840 --> 00:11:00,880 Speaker 1: Frankly they we're getting some questions from viewers listeners around 225 00:11:00,880 --> 00:11:03,680 Speaker 1: the world. Just a reminder. Subscribers to Bloomberg dot com 226 00:11:03,679 --> 00:11:07,000 Speaker 1: and terminal subscribers can ask questions Bloomberg dot com slash 227 00:11:07,040 --> 00:11:09,720 Speaker 1: Ask Radio. I want to throw this one. This is 228 00:11:09,720 --> 00:11:13,400 Speaker 1: from Connor in Auckland, New Zealand. Thanks for stand up late, 229 00:11:13,440 --> 00:11:16,360 Speaker 1: I guess early in the morning for us. Connor, Microsoft 230 00:11:16,440 --> 00:11:20,240 Speaker 1: and Amazon are making good progress in enterprise AI. How 231 00:11:20,280 --> 00:11:24,040 Speaker 1: sticky are their product offerings? Will there be big swings 232 00:11:24,120 --> 00:11:26,559 Speaker 1: in market share going forward? On a rock? I think 233 00:11:26,559 --> 00:11:27,760 Speaker 1: this is a good question for you. 234 00:11:28,840 --> 00:11:30,720 Speaker 6: So the way we think about it is the pie 235 00:11:30,800 --> 00:11:32,640 Speaker 6: is growing at such a fast space they will all 236 00:11:32,640 --> 00:11:35,600 Speaker 6: make money. I'm fairly confident about it. But the question 237 00:11:35,720 --> 00:11:38,280 Speaker 6: is what kind of money they will be making. Are 238 00:11:38,320 --> 00:11:41,720 Speaker 6: they making money renting GPUs and training models or are 239 00:11:41,720 --> 00:11:44,760 Speaker 6: you building AI applications on top of it? We like 240 00:11:44,840 --> 00:11:47,520 Speaker 6: the second kind of business better because in the long run, 241 00:11:47,600 --> 00:11:49,960 Speaker 6: it's very difficult to take it off. So let's say 242 00:11:50,000 --> 00:11:52,840 Speaker 6: go back, you know, twenty years or fifteen years. If 243 00:11:53,040 --> 00:11:57,360 Speaker 6: Lyft or Uber started their application on AWS, that's a 244 00:11:57,360 --> 00:12:01,840 Speaker 6: cloud native application. As the application is growing, AWS makes 245 00:12:01,880 --> 00:12:04,480 Speaker 6: more money. If you are developing a brand new AI 246 00:12:04,559 --> 00:12:07,600 Speaker 6: application today, if you pick one of these three or 247 00:12:07,679 --> 00:12:12,160 Speaker 6: four cloud platforms, as you as those apps get bigger, 248 00:12:12,360 --> 00:12:15,080 Speaker 6: you're going to make money. So it's a perpetual revenue stream. 249 00:12:15,240 --> 00:12:17,480 Speaker 6: It's very difficult to take that out and move it 250 00:12:17,520 --> 00:12:20,120 Speaker 6: somewhere else. But if you're only training models, that's a 251 00:12:20,200 --> 00:12:21,360 Speaker 6: very different revenue stream. 252 00:12:21,559 --> 00:12:21,760 Speaker 4: Yeah. 253 00:12:21,800 --> 00:12:24,199 Speaker 3: It's interesting too because I was just looking at Spencer Soaper, 254 00:12:24,320 --> 00:12:26,199 Speaker 3: the story that he's got on the Bloomberg Terminal or 255 00:12:26,240 --> 00:12:28,800 Speaker 3: Bloomberg Spencer Soaper. He says the company lacks a hit 256 00:12:29,200 --> 00:12:32,199 Speaker 3: consumer AI product on par with open ais chatchypt and 257 00:12:32,240 --> 00:12:36,000 Speaker 3: Anthropics Claude, but has ink deals, committing both AI labs 258 00:12:36,040 --> 00:12:38,400 Speaker 3: to spend at least one hundred billion dollars in services 259 00:12:38,600 --> 00:12:41,560 Speaker 3: from the Amazon Web Services cloud unit in the coming years. 260 00:12:41,600 --> 00:12:44,440 Speaker 3: I mean anag that's a big deal. 261 00:12:45,679 --> 00:12:48,160 Speaker 6: Yeah. So one of the things that Mike Microsoft said 262 00:12:48,200 --> 00:12:52,719 Speaker 6: yesterday was the sequential increase in commercial real performance obligations 263 00:12:52,800 --> 00:12:54,760 Speaker 6: or the backlog that they had. I think it was 264 00:12:54,760 --> 00:12:57,560 Speaker 6: about forty five billion. All of that was from non 265 00:12:57,600 --> 00:13:00,839 Speaker 6: frontier model companies, which is that it's not anthropic. That 266 00:13:00,920 --> 00:13:03,000 Speaker 6: is not opening eye because remember, what is the biggest 267 00:13:03,000 --> 00:13:05,680 Speaker 6: fear right now in the market is what if open 268 00:13:05,720 --> 00:13:07,760 Speaker 6: eie is not able to take care of the commitments 269 00:13:07,880 --> 00:13:10,560 Speaker 6: or entropic and so forth. But what they're saying is 270 00:13:10,720 --> 00:13:13,920 Speaker 6: the business now they're coming in in their backlocker and 271 00:13:14,000 --> 00:13:17,680 Speaker 6: their bookings is from non frontier models. And that's really 272 00:13:17,760 --> 00:13:20,080 Speaker 6: I think one of the most important questions that we 273 00:13:20,160 --> 00:13:23,360 Speaker 6: want to ask the company today is if they talk 274 00:13:23,400 --> 00:13:26,160 Speaker 6: about cloud commitments, where are those cloud commitments coming in? 275 00:13:26,280 --> 00:13:28,280 Speaker 6: Is it the three or four companies or is it 276 00:13:28,320 --> 00:13:29,880 Speaker 6: more diversified. 277 00:13:29,640 --> 00:13:32,040 Speaker 3: Right exactly in terms of exposure to maybe just a 278 00:13:32,040 --> 00:13:32,920 Speaker 3: few big customers. 279 00:13:33,040 --> 00:13:33,360 Speaker 6: Put them. 280 00:13:33,440 --> 00:13:35,120 Speaker 3: I want to bring you back we spent. We talk 281 00:13:35,200 --> 00:13:37,120 Speaker 3: so much about AWS and I know we do that 282 00:13:37,160 --> 00:13:39,360 Speaker 3: with you as well. It's so important in terms of 283 00:13:39,440 --> 00:13:42,400 Speaker 3: what really makes money for Amazon. But you think about 284 00:13:42,480 --> 00:13:44,360 Speaker 3: I mean, they sell a lot of stuff, so many 285 00:13:44,400 --> 00:13:47,880 Speaker 3: of us relate to Amazon as a retailer how do 286 00:13:47,960 --> 00:13:52,080 Speaker 3: they think about increasingly using AI to kind of juice 287 00:13:52,120 --> 00:13:54,960 Speaker 3: the numbers and maybe improve the profitability on the retail 288 00:13:54,960 --> 00:13:55,600 Speaker 3: side of things. 289 00:13:56,640 --> 00:13:58,840 Speaker 5: Yeah, AI has been a big push on the retail side, 290 00:13:58,840 --> 00:14:01,679 Speaker 5: and actually I think Amazon does the best better than anyone. 291 00:14:01,720 --> 00:14:05,360 Speaker 5: When they introduced Alexa for Shopping for example, Alexa plus, 292 00:14:05,800 --> 00:14:07,920 Speaker 5: it's pretty clever. You know, you go to the search bar, 293 00:14:08,000 --> 00:14:12,000 Speaker 5: you can compare pricing. You can say, I'm looking for 294 00:14:12,120 --> 00:14:15,400 Speaker 5: this item and when was it priced cheapest, and if 295 00:14:15,400 --> 00:14:17,959 Speaker 5: it drops to that price, buy it for me. I mean, 296 00:14:18,120 --> 00:14:20,280 Speaker 5: just that simple, and it'll show up at your door. 297 00:14:20,600 --> 00:14:23,200 Speaker 5: So I do think that they're gaining traction there. In fact, 298 00:14:23,200 --> 00:14:26,280 Speaker 5: in the release, I believe they said that interactions and 299 00:14:26,440 --> 00:14:31,440 Speaker 5: active users doubled over second quarter just with AI adoption 300 00:14:31,560 --> 00:14:34,560 Speaker 5: and Alexa for Shopping, So they're making momentum here. We 301 00:14:34,680 --> 00:14:38,040 Speaker 5: do think that the investments that they make and Alexa 302 00:14:38,080 --> 00:14:41,160 Speaker 5: for Shopping and AI will continue to not only help 303 00:14:41,200 --> 00:14:44,800 Speaker 5: them with customer service and conversion online, but also improve 304 00:14:45,000 --> 00:14:47,360 Speaker 5: margins on the retail side, which are slimmed to none. 305 00:14:47,680 --> 00:14:51,600 Speaker 2: If you're listening to the Bloomberg Business Weekdaily podcast, catch 306 00:14:51,640 --> 00:14:54,880 Speaker 2: us live weekday afternoons from two to five pm Eastern. 307 00:14:55,040 --> 00:14:58,080 Speaker 2: Listen on Apple CarPlay and Android Auto with the Bloomberg 308 00:14:58,160 --> 00:15:00,480 Speaker 2: Business app, or watch us love I have on. 309 00:15:00,440 --> 00:15:06,040 Speaker 3: YouTube covering Apple, covering Amazon, putumoil with us from Bloomberg Intelligence, 310 00:15:06,120 --> 00:15:09,200 Speaker 3: Anara Grana as well an ed La Lowe, host of 311 00:15:09,240 --> 00:15:12,240 Speaker 3: Bloomberg Tech. But again, folks, we are expecting Apple to 312 00:15:12,320 --> 00:15:15,280 Speaker 3: cross any moment, and here they go. So let's get 313 00:15:15,280 --> 00:15:19,200 Speaker 3: to the numbers. Third quarter revenue one hundred nine point 314 00:15:19,240 --> 00:15:21,280 Speaker 3: forty two billion, that's a beat. One hundred and eight 315 00:15:21,280 --> 00:15:23,960 Speaker 3: point eighty five is what the street was expecting. Third 316 00:15:24,040 --> 00:15:27,560 Speaker 3: quarter EPs two dollars two cents a share. That is 317 00:15:27,600 --> 00:15:30,160 Speaker 3: definitely above what the street was forecasting of a dollar 318 00:15:30,240 --> 00:15:33,240 Speaker 3: eighty nine a share. If we go to third quarter 319 00:15:34,160 --> 00:15:37,600 Speaker 3: products revenue seventy eight point sixty eight billion, that two 320 00:15:37,640 --> 00:15:40,040 Speaker 3: is better than the street estimate of seventy seven point 321 00:15:40,520 --> 00:15:44,720 Speaker 3: twenty five billion. Services revenue thirty point seventy four billion, 322 00:15:44,800 --> 00:15:47,640 Speaker 3: a little bit light thirty one point thirty six billion. 323 00:15:47,720 --> 00:15:50,880 Speaker 3: And again we're kind of highlighting here on the Bloomberg 324 00:15:50,880 --> 00:15:52,960 Speaker 3: what we call our red sticky, our red headlines. Third 325 00:15:53,040 --> 00:15:56,280 Speaker 3: quarter revenue again better than what the street was forecasting. 326 00:15:56,320 --> 00:15:59,080 Speaker 3: One hundred and nine point forty two billion versus one 327 00:15:59,120 --> 00:16:01,120 Speaker 3: hundred and eight point eighty five billion. We're now getting 328 00:16:01,120 --> 00:16:02,360 Speaker 3: iPhone revenue as well too. 329 00:16:02,560 --> 00:16:05,720 Speaker 1: Yeah, the headline's crossing fast and furious. iPhone revenue coming 330 00:16:05,720 --> 00:16:08,640 Speaker 1: in above estimates at fifty four point two five billion 331 00:16:08,680 --> 00:16:11,600 Speaker 1: dollars the estimates for fifty three point six billion dollars. 332 00:16:11,640 --> 00:16:14,040 Speaker 1: Shares Apple down about two point four percent in the 333 00:16:14,080 --> 00:16:17,040 Speaker 1: after hours. Apple also declaring a cash dividend of twenty 334 00:16:17,160 --> 00:16:20,680 Speaker 1: seven dollars a share. Third quarter grated China revenue coming 335 00:16:20,720 --> 00:16:23,520 Speaker 1: in shy of estimates at eighteen point eight two billion dollars. 336 00:16:23,520 --> 00:16:26,960 Speaker 1: The estimate was for nineteen point five eight billion dollars. 337 00:16:27,520 --> 00:16:30,600 Speaker 1: Apple shares falling about two point four percent in the 338 00:16:30,760 --> 00:16:34,360 Speaker 1: post market. When these numbers crossed, they did shoot higher, 339 00:16:34,400 --> 00:16:37,760 Speaker 1: ever so slightly. You know, watch the after hours carefully 340 00:16:38,400 --> 00:16:41,120 Speaker 1: and with caution. We haven't heard yet what they're going 341 00:16:41,200 --> 00:16:44,360 Speaker 1: to say on the call. Very light commentary too, as 342 00:16:44,400 --> 00:16:47,680 Speaker 1: Apple is wont to do in their press release, just 343 00:16:47,760 --> 00:16:50,680 Speaker 1: saying that the company's proud to report the strongest dudon 344 00:16:50,760 --> 00:16:53,480 Speaker 1: quarter ever with double digit revenue growth across iPhone, Mac 345 00:16:53,560 --> 00:16:56,960 Speaker 1: and services and in every geographic segment. This is Tim Cook. 346 00:16:56,800 --> 00:17:00,200 Speaker 3: Setting June quarter records for both EPs and operating cash. Hello, 347 00:17:00,760 --> 00:17:02,560 Speaker 3: still here with our team, ed Lolo, I want to 348 00:17:02,560 --> 00:17:04,240 Speaker 3: bring you back in here. I know you're just kind 349 00:17:04,240 --> 00:17:08,000 Speaker 3: of going through the numbers. Two initial thoughts here. Again, 350 00:17:08,160 --> 00:17:09,840 Speaker 3: we continue to see this dock down about two and 351 00:17:09,880 --> 00:17:11,280 Speaker 3: a half percent here in the aftermarket. 352 00:17:11,400 --> 00:17:15,200 Speaker 8: Yeah, it's a slight beat against consensus or expectations across 353 00:17:15,240 --> 00:17:18,239 Speaker 8: the board. Other In iPad, I see a miss, and 354 00:17:18,280 --> 00:17:20,840 Speaker 8: then in services I see a miss on gross margin 355 00:17:20,960 --> 00:17:24,400 Speaker 8: coming in at fifty point one percent. Apple does explain 356 00:17:24,480 --> 00:17:28,399 Speaker 8: that there was roughly two percentage points benefit gross margin 357 00:17:28,480 --> 00:17:32,640 Speaker 8: from Tariffree funds, so we can we can reltigate that 358 00:17:32,720 --> 00:17:36,560 Speaker 8: on the accounting side. But EPs therefore includes an eleven 359 00:17:36,600 --> 00:17:39,720 Speaker 8: cent benefit from those Tariffrey funds. But that's what I see. 360 00:17:39,880 --> 00:17:41,680 Speaker 8: You know, Tim summed it up. Well, the Greater China 361 00:17:41,720 --> 00:17:44,600 Speaker 8: will be a question, right, but I see iPad miss 362 00:17:44,600 --> 00:17:48,280 Speaker 8: and services miss services more likely to be a concern. 363 00:17:48,320 --> 00:17:51,840 Speaker 8: If it's a miss, then iPad maybe, but otherwise strong. 364 00:17:52,280 --> 00:17:52,480 Speaker 4: Yeah. 365 00:17:52,640 --> 00:17:55,639 Speaker 3: Mark Gurbin's going to join us too for the conversation 366 00:17:55,720 --> 00:17:58,120 Speaker 3: in a little bit. But he's also pointing at gross 367 00:17:58,160 --> 00:18:00,800 Speaker 3: margins slightly above what Wall Street wants. But again, the 368 00:18:00,840 --> 00:18:03,399 Speaker 3: stock down about two percent, but let's not forget the 369 00:18:03,400 --> 00:18:06,800 Speaker 3: stock has been on quite a rally so far this year. 370 00:18:06,840 --> 00:18:08,080 Speaker 3: What you're looking perplex? 371 00:18:08,240 --> 00:18:08,639 Speaker 9: Yeah, I am. 372 00:18:08,680 --> 00:18:11,800 Speaker 1: I want to bring in on a rag. Yeah, I 373 00:18:11,840 --> 00:18:14,560 Speaker 1: know that you expected that the string of strong iPhone 374 00:18:14,600 --> 00:18:17,640 Speaker 1: results would continue this quarter next given the company hasn't 375 00:18:17,720 --> 00:18:21,440 Speaker 1: raised prices for smartphones, has your view changed at all 376 00:18:22,040 --> 00:18:24,320 Speaker 1: given what we've seen in the last few minutes with 377 00:18:24,320 --> 00:18:26,240 Speaker 1: with with these numbers coming out. 378 00:18:27,040 --> 00:18:28,840 Speaker 6: No, there was a beat on the iPhone number, so 379 00:18:28,880 --> 00:18:31,920 Speaker 6: that's there. But here is the kicker. And I'm looking 380 00:18:32,000 --> 00:18:34,920 Speaker 6: at gross margins which was also pretty decent, which was 381 00:18:34,960 --> 00:18:36,960 Speaker 6: a Now that's a surprise because you would. 382 00:18:36,760 --> 00:18:37,760 Speaker 1: Have max the memory price. 383 00:18:37,760 --> 00:18:41,600 Speaker 6: I memory process just started. Think. The only place where 384 00:18:41,640 --> 00:18:44,400 Speaker 6: I see slight hiccup is great to China. So we'll 385 00:18:44,400 --> 00:18:47,680 Speaker 6: find out what happened here. But it's a very minor way, boy, 386 00:18:47,760 --> 00:18:48,920 Speaker 6: very minor miss. 387 00:18:48,640 --> 00:18:50,840 Speaker 1: On rog Are you saying that Apple doesn't need to 388 00:18:50,920 --> 00:18:53,040 Speaker 1: rate raise prices because their margins are intact? 389 00:18:54,080 --> 00:18:56,800 Speaker 6: I hope see for their sake, if they can figure 390 00:18:56,800 --> 00:19:00,240 Speaker 6: out not to raise iPhone lower end prices, it's going 391 00:19:00,320 --> 00:19:01,879 Speaker 6: to be very good for them. I think you have 392 00:19:01,920 --> 00:19:04,480 Speaker 6: to raise prices first of all, because the memory costs 393 00:19:04,480 --> 00:19:07,000 Speaker 6: are very high. But I think you and we think 394 00:19:07,119 --> 00:19:09,040 Speaker 6: it's better to do it on the higher end phones 395 00:19:09,080 --> 00:19:12,040 Speaker 6: because you know, people like you are not sensitive to 396 00:19:12,400 --> 00:19:15,040 Speaker 6: and you know, another few hundred dollars on an iPhone promac. 397 00:19:15,080 --> 00:19:16,840 Speaker 6: So it's not going to that's not going to be 398 00:19:16,880 --> 00:19:20,480 Speaker 6: the difference it can make going to be. See, that's 399 00:19:20,520 --> 00:19:23,320 Speaker 6: another reason why they did that. That's another reason why 400 00:19:23,320 --> 00:19:26,280 Speaker 6: they did that. So the thing is, I think there 401 00:19:26,320 --> 00:19:29,040 Speaker 6: is one more good quarter or iPhone coming in, but 402 00:19:29,080 --> 00:19:31,960 Speaker 6: then things get harder for them next year because then 403 00:19:32,080 --> 00:19:34,840 Speaker 6: comparisons get tough. You know, this is not a company 404 00:19:34,880 --> 00:19:37,680 Speaker 6: you can grow iPhone twenty two percent year after year. 405 00:19:37,800 --> 00:19:39,960 Speaker 6: You know, this is not a brand new product. This 406 00:19:40,080 --> 00:19:43,600 Speaker 6: is a replacement cycle story. So you could see a 407 00:19:43,640 --> 00:19:45,879 Speaker 6: little bit of a push for people pulling forward some 408 00:19:45,960 --> 00:19:47,760 Speaker 6: of these things, but things are going to get hard 409 00:19:47,800 --> 00:19:50,000 Speaker 6: next year when you get into tougher comparisons. 410 00:19:50,040 --> 00:19:52,080 Speaker 1: I want to bring in Mark Reman, he's back with US. 411 00:19:52,359 --> 00:19:55,520 Speaker 1: Apple shares down four percent in the after hours. Marcus Bloomberg, 412 00:19:55,600 --> 00:19:57,760 Speaker 1: news managing at IT for Global Consumer Tech. You were 413 00:19:57,800 --> 00:20:00,840 Speaker 1: live blogging while you're on TV. Yes, what's your take? 414 00:20:01,680 --> 00:20:03,600 Speaker 10: My take is that the iPhone number looks great. My 415 00:20:03,680 --> 00:20:06,440 Speaker 10: take is that the Mac number looks amazing. My take 416 00:20:06,480 --> 00:20:09,600 Speaker 10: is that service is a little soft and the China 417 00:20:09,840 --> 00:20:13,320 Speaker 10: number missed the estimate we have here on the Bloomberg terminal. 418 00:20:13,680 --> 00:20:15,720 Speaker 10: But at the same time, that is, you know, pretty 419 00:20:15,800 --> 00:20:18,720 Speaker 10: nice growth on an annual basis where they were sort 420 00:20:18,720 --> 00:20:20,560 Speaker 10: of I guess in the toilet in China a couple 421 00:20:20,600 --> 00:20:23,640 Speaker 10: of years ago and last year, but they've totally rebounded there. 422 00:20:24,800 --> 00:20:26,359 Speaker 10: It's going to be interesting to see how the foldable 423 00:20:26,400 --> 00:20:29,000 Speaker 10: iPhone performs there as a status symbol well north of 424 00:20:29,040 --> 00:20:30,760 Speaker 10: two grand, so I think it's gonna be a hot 425 00:20:30,800 --> 00:20:33,520 Speaker 10: product there, especially because foldibles are taking over a smartphone 426 00:20:33,520 --> 00:20:34,120 Speaker 10: market in China. 427 00:20:34,200 --> 00:20:36,119 Speaker 1: Yeah, I know you're gonna buy a foldable phone. 428 00:20:36,119 --> 00:20:38,760 Speaker 10: Course we'll be first in line. 429 00:20:38,920 --> 00:20:41,200 Speaker 1: So is it the light services in China that's moving 430 00:20:41,200 --> 00:20:42,800 Speaker 1: the stock lower? I mean, I know stock was twenty 431 00:20:42,880 --> 00:20:44,600 Speaker 1: up to more than twenty two percent going into this 432 00:20:44,720 --> 00:20:45,480 Speaker 1: prem Yes. 433 00:20:45,480 --> 00:20:48,680 Speaker 10: Yes, I mean they smashed Mac right, But like, I 434 00:20:48,680 --> 00:20:51,399 Speaker 10: don't think investors have fully grasped the importance of the 435 00:20:51,440 --> 00:20:53,600 Speaker 10: Mac at this point. I mean it sort of feels 436 00:20:53,640 --> 00:20:56,280 Speaker 10: like an afterthought compared to the iPhone and the iPad. 437 00:20:56,520 --> 00:20:58,800 Speaker 10: The iPad is always light. Wearaballs have been light for 438 00:20:58,840 --> 00:21:00,720 Speaker 10: a couple of years now because they haven't really done 439 00:21:00,760 --> 00:21:03,040 Speaker 10: a ton there, But that is going to accelerate big 440 00:21:03,080 --> 00:21:05,399 Speaker 10: time over the next three years with these AI devices. 441 00:21:05,400 --> 00:21:08,520 Speaker 10: Glasses are going to shoot those numbers up. 442 00:21:08,760 --> 00:21:09,880 Speaker 1: You think people will buy those? 443 00:21:10,280 --> 00:21:10,600 Speaker 4: I do. 444 00:21:10,760 --> 00:21:11,800 Speaker 10: I think you'll buy them too. 445 00:21:12,080 --> 00:21:14,879 Speaker 1: Tell me about them, Well, they're. 446 00:21:14,640 --> 00:21:18,800 Speaker 10: Going the Apple is not going necessarily after the smartphone market. 447 00:21:19,400 --> 00:21:22,359 Speaker 10: They're looking to create glasses that people want to wear, 448 00:21:22,800 --> 00:21:25,320 Speaker 10: just like the Apple Watch replace the traditional watch market. 449 00:21:25,560 --> 00:21:27,920 Speaker 10: They think that their smart glasses are going to replace 450 00:21:28,200 --> 00:21:30,800 Speaker 10: sort of the low end to mid tier glasses market, 451 00:21:30,920 --> 00:21:33,679 Speaker 10: not the Maison Bonets of the world, but you know, 452 00:21:33,800 --> 00:21:37,359 Speaker 10: the Eslar Luxaticas of the world. So they're really going 453 00:21:37,440 --> 00:21:40,919 Speaker 10: to go after those brands there. It'll have cameras built in, 454 00:21:40,960 --> 00:21:42,480 Speaker 10: I'll do all the stuff that Meta does, but a 455 00:21:42,520 --> 00:21:44,879 Speaker 10: little bit more premium and applely because it'll integrate with 456 00:21:44,920 --> 00:21:47,800 Speaker 10: your iPhone, whereas they've really held back iPhone integration with 457 00:21:47,800 --> 00:21:49,400 Speaker 10: the metaglasses over the past couple years. 458 00:21:49,480 --> 00:21:52,280 Speaker 3: Do they actually create something that is you know, competitive 459 00:21:52,280 --> 00:21:55,199 Speaker 3: in terms of share at the company that moves the 460 00:21:55,240 --> 00:21:58,440 Speaker 3: needle in terms of the iPhone, does something else finally 461 00:21:58,480 --> 00:22:01,800 Speaker 3: come over in terms of contributing more to the bottom 462 00:22:01,800 --> 00:22:02,920 Speaker 3: line as the top line? 463 00:22:02,960 --> 00:22:04,520 Speaker 10: You know, I think Turnis will be CEO for the 464 00:22:04,520 --> 00:22:07,520 Speaker 10: next fifteen years, unless again, something goes wrong that we're 465 00:22:07,520 --> 00:22:09,679 Speaker 10: not expecting. And someone asked me earlier today on one 466 00:22:09,720 --> 00:22:11,840 Speaker 10: of the programs, what's going to be the most important 467 00:22:11,880 --> 00:22:15,920 Speaker 10: product in Turnas's tenure, and I, to their surprise, said 468 00:22:15,920 --> 00:22:19,560 Speaker 10: the iPhone. I think it's going to be the case 469 00:22:19,600 --> 00:22:21,320 Speaker 10: that we're always going to carry something in our pocket. 470 00:22:21,359 --> 00:22:23,440 Speaker 10: The iPhone or something like it is always going to 471 00:22:23,440 --> 00:22:25,320 Speaker 10: be at the center of everything, and then we're going 472 00:22:25,359 --> 00:22:28,840 Speaker 10: to be augmented by glasses, watches, earbuds. 473 00:22:28,320 --> 00:22:28,919 Speaker 1: You name it. 474 00:22:29,760 --> 00:22:32,800 Speaker 10: But at some point there will be a transition to 475 00:22:32,840 --> 00:22:35,760 Speaker 10: be had. I just don't see it anytime in the 476 00:22:35,800 --> 00:22:36,320 Speaker 10: near future. 477 00:22:36,400 --> 00:22:37,840 Speaker 1: Has Apple given up on the Vision Pro? 478 00:22:38,200 --> 00:22:41,480 Speaker 10: Has Apple given up on the Vision Pro? It's on 479 00:22:41,600 --> 00:22:44,439 Speaker 10: the back burners of all back burners at this point. 480 00:22:45,320 --> 00:22:50,200 Speaker 10: There's a revamped version that's lighter in development. I don't 481 00:22:50,200 --> 00:22:52,160 Speaker 10: anticipate it before the end of twenty eight or early 482 00:22:52,200 --> 00:22:55,240 Speaker 10: twenty nine. Could go further back from that because they 483 00:22:55,240 --> 00:22:58,679 Speaker 10: have been heavily prioritizing this glasses push smart glasses with 484 00:22:58,720 --> 00:23:01,920 Speaker 10: no display, smart glass is with ar display. They've got 485 00:23:01,920 --> 00:23:04,879 Speaker 10: a long roadmap of multiple generations ahead of both of 486 00:23:04,920 --> 00:23:08,520 Speaker 10: those categories, and you'll see them introduce the glasses strategies 487 00:23:08,560 --> 00:23:10,240 Speaker 10: early as June of next year. 488 00:23:10,320 --> 00:23:11,520 Speaker 3: What do you want to hear on the call? 489 00:23:12,040 --> 00:23:14,760 Speaker 10: I want to hear about the memory shortage. I know 490 00:23:14,800 --> 00:23:18,119 Speaker 10: it's not sexy, but investors are interested in that. I 491 00:23:18,200 --> 00:23:20,760 Speaker 10: want to hear about Tim Cook's thoughts on how the 492 00:23:20,760 --> 00:23:24,480 Speaker 10: transition is going. Most importantly, I want to hear Turnas's 493 00:23:24,600 --> 00:23:26,359 Speaker 10: vision for Apple. Are we going to hear that on 494 00:23:26,400 --> 00:23:27,760 Speaker 10: this call? Are we going to hear that on the 495 00:23:27,760 --> 00:23:30,560 Speaker 10: next call? Probably not. These guys don't really say anything. 496 00:23:30,720 --> 00:23:34,960 Speaker 1: I'm laughing because you know, you shared with us earlier 497 00:23:35,040 --> 00:23:38,040 Speaker 1: about John Turnas and Tim Cook being dressed identically, Like, 498 00:23:38,359 --> 00:23:40,040 Speaker 1: you know, his vision is going to be whatever Tim 499 00:23:40,040 --> 00:23:41,080 Speaker 1: Cook says the vision. 500 00:23:40,880 --> 00:23:41,800 Speaker 3: Is Is it going to be? 501 00:23:42,000 --> 00:23:43,520 Speaker 10: Is it is that what it's going to be? 502 00:23:43,680 --> 00:23:43,880 Speaker 9: Yeah? 503 00:23:44,080 --> 00:23:44,959 Speaker 2: No, I think that. 504 00:23:45,160 --> 00:23:47,080 Speaker 10: I mean he's going to come in and make major 505 00:23:47,200 --> 00:23:49,760 Speaker 10: changes to the company, just like you know Steve Jobs. 506 00:23:49,920 --> 00:23:52,320 Speaker 10: Arguably one of the greatest CEOs and visionaries of all time. 507 00:23:52,359 --> 00:23:54,200 Speaker 10: Tim Cook came in there. It's not like you took 508 00:23:54,200 --> 00:23:56,720 Speaker 10: a wrecking ball, but he shook things up pretty quickly. 509 00:23:57,240 --> 00:23:59,119 Speaker 10: He was the one who instated the buyback program. He 510 00:23:59,160 --> 00:24:02,040 Speaker 10: was the one who in state did environmental initiatives. He 511 00:24:02,080 --> 00:24:03,639 Speaker 10: was the one who in stated and tons of new 512 00:24:03,640 --> 00:24:06,000 Speaker 10: product lines. And you can bet Turnus is going to 513 00:24:06,040 --> 00:24:08,440 Speaker 10: do the same thing. And so we'll see how long 514 00:24:08,480 --> 00:24:10,119 Speaker 10: that takes. But he's not going to come on and 515 00:24:10,160 --> 00:24:12,400 Speaker 10: say he's going to do things differently than his predecessor. 516 00:24:12,440 --> 00:24:14,120 Speaker 10: He's going to go on and say how incredible Tim 517 00:24:14,160 --> 00:24:17,000 Speaker 10: Cook has done and even if I do half of 518 00:24:17,040 --> 00:24:18,440 Speaker 10: what you do, it'll be a success. 519 00:24:18,600 --> 00:24:18,919 Speaker 4: Yeah. 520 00:24:19,359 --> 00:24:22,720 Speaker 1: So five trillion dollar market cap pretty close to it. 521 00:24:22,840 --> 00:24:25,760 Speaker 1: Expectations were high going into this print. What's the question 522 00:24:26,000 --> 00:24:27,840 Speaker 1: that if you were able to ask a question on 523 00:24:27,880 --> 00:24:28,879 Speaker 1: the call today, what would it be? 524 00:24:29,520 --> 00:24:31,560 Speaker 10: If I were able to answer or ask a question, 525 00:24:31,800 --> 00:24:34,399 Speaker 10: I would straight up ask turnas what is your vision 526 00:24:35,119 --> 00:24:38,520 Speaker 10: for the future of this company? How are you going 527 00:24:38,680 --> 00:24:41,040 Speaker 10: to get to this next stage of growth and how 528 00:24:41,040 --> 00:24:44,560 Speaker 10: are you going to create an AI device strategy? Well, 529 00:24:44,680 --> 00:24:46,200 Speaker 10: I mean the good news is I don't get a 530 00:24:46,280 --> 00:24:48,840 Speaker 10: question because the bad news is he wouldn't answer. 531 00:24:48,560 --> 00:24:51,520 Speaker 1: That, And just I was keeping track, that was three questions. 532 00:24:51,680 --> 00:24:53,000 Speaker 10: Well, you know, I'm a joist. 533 00:24:53,080 --> 00:24:54,159 Speaker 1: That's what these analysts do too. 534 00:24:54,320 --> 00:24:55,840 Speaker 3: But if he's not going to answer a question about 535 00:24:55,960 --> 00:24:57,960 Speaker 3: vision and you kind of know that, where else would 536 00:24:58,000 --> 00:24:59,080 Speaker 3: you what else would you want to know? 537 00:25:00,000 --> 00:25:02,359 Speaker 10: I want to drill down into his operational expertise and 538 00:25:02,400 --> 00:25:04,920 Speaker 10: get his viewpoint as someone who's not from the operations 539 00:25:04,920 --> 00:25:07,560 Speaker 10: department about the memory shortage, how long he sees that 540 00:25:07,640 --> 00:25:10,240 Speaker 10: running for, and what work is going on internally to 541 00:25:10,240 --> 00:25:11,840 Speaker 10: solve that other than just hiking prices. 542 00:25:12,440 --> 00:25:15,560 Speaker 3: Stay with us more from Bloomberg Business Weekdaily coming up 543 00:25:15,760 --> 00:25:16,320 Speaker 3: after this. 544 00:25:19,840 --> 00:25:23,640 Speaker 2: You are listening to the Bloomberg Business Weekdaily Podcast. Catch 545 00:25:23,720 --> 00:25:26,960 Speaker 2: us live weekday afternoons from two to five pm Eastern. 546 00:25:27,080 --> 00:25:30,159 Speaker 2: Listen on Apple CarPlay and Android Auto with the Bloomberg 547 00:25:30,200 --> 00:25:32,920 Speaker 2: Business app, or watch us live on YouTube. 548 00:25:33,680 --> 00:25:36,480 Speaker 11: I am here with the Jersey Mike CEO, Charlie Morrison. Charlie, 549 00:25:36,480 --> 00:25:38,359 Speaker 11: thanks for doing Congratulations on listening today. 550 00:25:38,400 --> 00:25:40,080 Speaker 4: Thank you. It's a great day for Jersey Mikes. 551 00:25:40,119 --> 00:25:42,679 Speaker 11: I have to say I don't envy any CEO that 552 00:25:42,720 --> 00:25:44,840 Speaker 11: has to list in this crazy market we're living right now, 553 00:25:44,840 --> 00:25:46,800 Speaker 11: it has been quite volatile, and especially for a lot. 554 00:25:46,680 --> 00:25:47,360 Speaker 4: Of your peers. 555 00:25:47,680 --> 00:25:50,520 Speaker 11: I mean Sweet Green down four percent, Shakeshack down twenty 556 00:25:50,520 --> 00:25:53,280 Speaker 11: four percent year to date, Wingstop also, which you once 557 00:25:53,440 --> 00:25:55,800 Speaker 11: led down forty four percent. So why was a middle 558 00:25:55,840 --> 00:25:57,600 Speaker 11: of that? Why was now the right time to ipo? 559 00:25:57,840 --> 00:26:00,000 Speaker 9: I think it's a great time to ipo Jersey Mikes. 560 00:26:00,080 --> 00:26:02,080 Speaker 9: This is a brand that's been built over many, many years. 561 00:26:02,160 --> 00:26:04,399 Speaker 9: We have a rich history of over seventy years, the 562 00:26:04,480 --> 00:26:07,280 Speaker 9: last twenty years alone, the only brand that can cite 563 00:26:07,359 --> 00:26:10,520 Speaker 9: twenty consecutive years of positive same store sales growth. We've 564 00:26:10,560 --> 00:26:13,000 Speaker 9: been able to navigate the choppy waters over many, many 565 00:26:13,080 --> 00:26:16,000 Speaker 9: many times through our cycle. Even this year, year to 566 00:26:16,119 --> 00:26:19,800 Speaker 9: date same store sales continue to grow. We've seen sequential 567 00:26:19,840 --> 00:26:23,080 Speaker 9: improvement from quarter one to quarter two, exiting quarter two 568 00:26:23,080 --> 00:26:25,880 Speaker 9: at two point three percent same store sales growth, most 569 00:26:25,880 --> 00:26:28,200 Speaker 9: of that driven by traffic. So it's a great time 570 00:26:28,240 --> 00:26:30,080 Speaker 9: to bring this brand to the market. We can deal 571 00:26:30,080 --> 00:26:31,959 Speaker 9: with some of the challenges that are in there, but 572 00:26:32,040 --> 00:26:33,280 Speaker 9: really it's for the long term. 573 00:26:33,359 --> 00:26:35,399 Speaker 11: So this is the fundamentals look good heading into this. 574 00:26:35,440 --> 00:26:38,080 Speaker 11: But was there ever a banker that was thinking, hey, Charlie, 575 00:26:38,280 --> 00:26:39,960 Speaker 11: maybe now is not the time, Maybe we need a 576 00:26:39,960 --> 00:26:42,080 Speaker 11: wait for commer waters not at all to me, fall 577 00:26:42,119 --> 00:26:42,560 Speaker 11: team ahead. 578 00:26:42,800 --> 00:26:44,359 Speaker 4: Yeah, this is a brand that's really well built for 579 00:26:44,400 --> 00:26:45,080 Speaker 4: the public market. 580 00:26:45,200 --> 00:26:47,920 Speaker 11: What about the pricing, because shares have fallen initially down 581 00:26:47,960 --> 00:26:50,080 Speaker 11: eight point seven percent, that they've come back of course, 582 00:26:50,119 --> 00:26:52,159 Speaker 11: now down only about four percent. What do you think 583 00:26:52,160 --> 00:26:54,320 Speaker 11: of the pricing? Was the pricing off perhaps and that's 584 00:26:54,320 --> 00:26:56,919 Speaker 11: why we're falling today? Maybe valuations a little bit too 585 00:26:56,960 --> 00:26:58,720 Speaker 11: pricely rich to richly priced. 586 00:26:58,760 --> 00:27:00,439 Speaker 9: Rather, No, I don't think it has anything to do 587 00:27:00,480 --> 00:27:02,359 Speaker 9: with the price and anythink market's been a little choppy 588 00:27:02,359 --> 00:27:04,439 Speaker 9: over the last few days trying to find its place. 589 00:27:05,160 --> 00:27:07,320 Speaker 4: Again. We're not looking at today's price. We're not worried 590 00:27:07,320 --> 00:27:07,679 Speaker 4: about this. 591 00:27:07,720 --> 00:27:10,239 Speaker 9: We're worried about the long term and continuing to do 592 00:27:10,280 --> 00:27:12,240 Speaker 9: what we do well, which is grow restaurants, grow our 593 00:27:12,280 --> 00:27:15,240 Speaker 9: same store sales growth, continue to deliver great value for 594 00:27:15,240 --> 00:27:17,000 Speaker 9: our shareholders and we know they're going to win over 595 00:27:17,000 --> 00:27:17,440 Speaker 9: the long term. 596 00:27:17,440 --> 00:27:19,240 Speaker 11: Well, let's talk about the long term because now with 597 00:27:19,359 --> 00:27:22,240 Speaker 11: IPO proceeds in hand, what do you want to do 598 00:27:22,240 --> 00:27:24,040 Speaker 11: with them? What are the opportunities for growth that you're 599 00:27:24,040 --> 00:27:24,880 Speaker 11: going to be pursuing. 600 00:27:25,119 --> 00:27:27,080 Speaker 9: Well, I mean, we're a brand that is an asset 601 00:27:27,160 --> 00:27:29,720 Speaker 9: light model, so we're a ninety nine percent franchise. We 602 00:27:29,800 --> 00:27:32,440 Speaker 9: generate a lot of cash, we carry some debt. We're 603 00:27:32,520 --> 00:27:35,120 Speaker 9: using the primary proceeds just to pay down our debt 604 00:27:35,160 --> 00:27:36,920 Speaker 9: a little bit, so we get down below four and 605 00:27:36,920 --> 00:27:40,240 Speaker 9: a half times are EBITDA and that's okay. Over time, 606 00:27:40,280 --> 00:27:42,639 Speaker 9: we really will use our cash to return that capital 607 00:27:42,720 --> 00:27:46,520 Speaker 9: back to shareholders, which is very much the common practice 608 00:27:46,640 --> 00:27:50,000 Speaker 9: in a business like ours, and that'll be the continued 609 00:27:50,000 --> 00:27:50,720 Speaker 9: pace over time. 610 00:27:50,800 --> 00:27:52,800 Speaker 11: I know one of the growth strategies that you're pursuing 611 00:27:52,840 --> 00:27:56,800 Speaker 11: these international expansion. You have big plans for the UK specifically. 612 00:27:57,200 --> 00:27:59,120 Speaker 11: I know the market. I lived there for a while 613 00:27:59,160 --> 00:28:01,800 Speaker 11: for about six years. They do it this subway, so 614 00:28:01,840 --> 00:28:05,000 Speaker 11: they know sandwiches quality might vary there, but they love 615 00:28:05,080 --> 00:28:07,760 Speaker 11: like a Tesco's meal deal where they get a sandwich 616 00:28:07,800 --> 00:28:09,560 Speaker 11: and a bag of crisps as they would call it, 617 00:28:09,560 --> 00:28:12,520 Speaker 11: for four pounds. How do you convince them and how 618 00:28:12,560 --> 00:28:14,960 Speaker 11: are you certain that a British audience would like a 619 00:28:15,080 --> 00:28:15,720 Speaker 11: Jersey mics. 620 00:28:15,760 --> 00:28:18,800 Speaker 9: Well, we know people all over the world enjoy sandwiches 621 00:28:18,880 --> 00:28:22,119 Speaker 9: and sub sandwiches. Certainly the market's been well established. What 622 00:28:22,200 --> 00:28:24,520 Speaker 9: they don't know is the authenticity of how to really 623 00:28:24,560 --> 00:28:26,800 Speaker 9: deliver a deli style sandwich the right way, the way 624 00:28:26,800 --> 00:28:29,160 Speaker 9: we do it here at Jersey Mics. That's been part 625 00:28:29,160 --> 00:28:31,280 Speaker 9: of who we are for the last fifty years. It's 626 00:28:31,320 --> 00:28:33,480 Speaker 9: exactly what we're going to bring to the UK. We're 627 00:28:33,480 --> 00:28:35,520 Speaker 9: going to bring the brand in its full force to 628 00:28:35,600 --> 00:28:38,440 Speaker 9: the UK, and look, we have a hot sub option 629 00:28:38,520 --> 00:28:41,480 Speaker 9: as well, so our cheese steaks are hot subs. Other 630 00:28:41,600 --> 00:28:44,520 Speaker 9: products will be anchored on the menu and we're going 631 00:28:44,600 --> 00:28:45,680 Speaker 9: to do it in a high quality way. 632 00:28:45,720 --> 00:28:47,720 Speaker 4: People want that kind of authenticity. 633 00:28:47,760 --> 00:28:50,560 Speaker 9: Anything for really, I mean one little thing. Maybe we 634 00:28:50,640 --> 00:28:53,560 Speaker 9: might bring salted beef to the protein mix and lineup. 635 00:28:53,560 --> 00:28:56,040 Speaker 9: We know that's a big fan favorite overseas in the UK, 636 00:28:56,600 --> 00:28:58,920 Speaker 9: and so you might see that change. But otherwise it's 637 00:28:58,920 --> 00:29:00,600 Speaker 9: going to be authentically what we've been all about it 638 00:29:00,680 --> 00:29:01,800 Speaker 9: Jersey Micas's. 639 00:29:01,440 --> 00:29:03,720 Speaker 11: Love this subtle dig of they know subs out there, 640 00:29:03,760 --> 00:29:07,320 Speaker 11: but like maybe not the real deli style Charlie. Elsewhere 641 00:29:07,360 --> 00:29:09,560 Speaker 11: here in the US there has been this real concern 642 00:29:10,160 --> 00:29:14,400 Speaker 11: about the outbreak of silas fora and the concern about 643 00:29:14,400 --> 00:29:16,320 Speaker 11: iceberg Lettuce. I know a lot of the majority of 644 00:29:16,760 --> 00:29:20,040 Speaker 11: Jersey mic subs use Iceberg lettuce, Is your supply chain 645 00:29:20,080 --> 00:29:20,840 Speaker 11: affected at all? 646 00:29:20,960 --> 00:29:22,600 Speaker 4: We are not. We're not affected at all. 647 00:29:22,640 --> 00:29:25,520 Speaker 9: In fact, we do buy wholehead Iceberg lettuce, but we 648 00:29:25,600 --> 00:29:28,680 Speaker 9: buy it from primarily Salinas, California this time of year, 649 00:29:28,840 --> 00:29:31,880 Speaker 9: none from Mexico. We actually take very good care of 650 00:29:31,920 --> 00:29:33,720 Speaker 9: that product. We bring it in a whole head fashion. 651 00:29:33,760 --> 00:29:36,080 Speaker 9: We peel the outer leaves off, wash it carefully, and 652 00:29:36,120 --> 00:29:38,640 Speaker 9: actually shred it for our customers right there, and so 653 00:29:38,840 --> 00:29:40,440 Speaker 9: we don't see any risk associated. 654 00:29:40,520 --> 00:29:41,920 Speaker 4: That hasn't impacted our business. 655 00:29:42,080 --> 00:29:44,920 Speaker 11: It maybe hasn't impacted your supply change. Sopotely said the 656 00:29:44,920 --> 00:29:47,040 Speaker 11: same thing. We source it somewhere else, But yesterday they 657 00:29:47,040 --> 00:29:50,320 Speaker 11: pointed out it has impacted sales because the psychological concerns 658 00:29:50,520 --> 00:29:53,560 Speaker 11: our consumers pushing back or maybe at least not asking 659 00:29:53,560 --> 00:29:54,680 Speaker 11: for lettuce on their sandwiches. 660 00:29:54,800 --> 00:29:56,960 Speaker 9: Well, every one of our sandwiches can be customized because 661 00:29:56,960 --> 00:29:58,320 Speaker 9: we make it to order right in front of you, 662 00:29:58,360 --> 00:30:00,160 Speaker 9: and so if a customer wants to opt out out 663 00:30:00,160 --> 00:30:01,480 Speaker 9: of the lettus, that's fine with us. 664 00:30:01,520 --> 00:30:02,880 Speaker 4: We'll accommodate that happening. 665 00:30:03,080 --> 00:30:05,200 Speaker 9: And then not really, I mean, we've seen I mean, 666 00:30:05,240 --> 00:30:07,080 Speaker 9: we've been eating them for the last two weeks on 667 00:30:07,120 --> 00:30:07,400 Speaker 9: the road. 668 00:30:07,400 --> 00:30:08,280 Speaker 4: We've been enjoying them. 669 00:30:08,440 --> 00:30:11,600 Speaker 9: I think customers understand that the supply chain moves very quickly. 670 00:30:11,760 --> 00:30:14,440 Speaker 9: The product's probably out of the supply chain and everything's fine. 671 00:30:14,600 --> 00:30:16,880 Speaker 11: The credit card and debit card data that the Bloomberg 672 00:30:16,880 --> 00:30:19,520 Speaker 11: team cracks tracks does show a little bit of slowing 673 00:30:19,840 --> 00:30:21,840 Speaker 11: in July for Jersey Mike. Certainly still growing, but a 674 00:30:21,880 --> 00:30:24,120 Speaker 11: slow down in that growth. What accounts for that then, 675 00:30:24,120 --> 00:30:25,560 Speaker 11: if it's not the lettuce. 676 00:30:25,200 --> 00:30:27,120 Speaker 9: Of it all, well, I think there's a lot going 677 00:30:27,160 --> 00:30:29,120 Speaker 9: on in the marketplace right now. I wouldn't look to 678 00:30:29,200 --> 00:30:31,960 Speaker 9: any one or two weeks as indicative. Lots of things 679 00:30:32,040 --> 00:30:34,080 Speaker 9: kind of ebb and flow, and too often you can 680 00:30:34,080 --> 00:30:36,360 Speaker 9: get too much data that'll point to two different things. 681 00:30:36,360 --> 00:30:37,720 Speaker 4: But right now we haven't seen much of it. 682 00:30:37,800 --> 00:30:40,520 Speaker 11: So summer sales have been strong, maybe besides a little 683 00:30:40,520 --> 00:30:40,960 Speaker 11: bit of July. 684 00:30:41,520 --> 00:30:44,720 Speaker 9: Yeah, we haven't talked about anything about this particular quarter 685 00:30:44,800 --> 00:30:47,400 Speaker 9: at this point. We certainly saw strong performance in the 686 00:30:47,400 --> 00:30:50,560 Speaker 9: first quarter sequentially improving in the second quarter. We exited 687 00:30:50,560 --> 00:30:53,040 Speaker 9: the second quarter on a strong note as well, and 688 00:30:53,120 --> 00:30:54,840 Speaker 9: so we're going to continue to play our game and 689 00:30:55,400 --> 00:30:57,840 Speaker 9: execute a game plan that is going to drive long term, 690 00:30:57,880 --> 00:30:59,240 Speaker 9: sustainable same source sales growth. 691 00:30:59,280 --> 00:31:00,320 Speaker 11: So I hate to do this to you, and I 692 00:31:00,360 --> 00:31:02,520 Speaker 11: hope you don't check your social media mentions, but if 693 00:31:02,520 --> 00:31:05,080 Speaker 11: you just look up Jersey mics, there is just a 694 00:31:05,360 --> 00:31:07,360 Speaker 11: wide swath of people who say, ah, since you know, 695 00:31:07,440 --> 00:31:10,959 Speaker 11: the Blackstone pe overlords came in, they've changed the sandwiches. 696 00:31:11,440 --> 00:31:14,160 Speaker 11: They have, you know, shrunken size. People love to complain 697 00:31:14,160 --> 00:31:17,680 Speaker 11: that like Pe comes and ruins their favorite sandwiches. Charlie, 698 00:31:17,720 --> 00:31:20,360 Speaker 11: can you say here, definitively have the sandwiches change at all, 699 00:31:20,440 --> 00:31:23,160 Speaker 11: quality or otherwise not as since you came into the Hell. 700 00:31:23,280 --> 00:31:23,760 Speaker 4: Not at all. 701 00:31:23,800 --> 00:31:26,000 Speaker 9: That's just hype and social media. They like to pick 702 00:31:26,000 --> 00:31:28,160 Speaker 9: on people for that reason. We haven't done nothing. I mean, 703 00:31:28,200 --> 00:31:30,600 Speaker 9: I've been involved almost as long as Blackstone has. 704 00:31:30,800 --> 00:31:32,360 Speaker 4: We haven't changed a thing. Why would we. 705 00:31:32,440 --> 00:31:35,240 Speaker 9: This brand has grown twenty consecutive years positive same sort 706 00:31:35,240 --> 00:31:37,000 Speaker 9: of sales growth. We don't need to change them. In you, 707 00:31:37,080 --> 00:31:39,360 Speaker 9: we enjoy one of the lowest food costs in the industry. 708 00:31:39,640 --> 00:31:42,000 Speaker 9: Our franchisees have some of the highest cash on cash 709 00:31:42,040 --> 00:31:44,880 Speaker 9: returns in the industry. They want to grow and build 710 00:31:44,960 --> 00:31:46,680 Speaker 9: more stores, and they're going to do that and so 711 00:31:47,080 --> 00:31:49,240 Speaker 9: no need to change anything. We love this brand, we 712 00:31:49,320 --> 00:31:51,280 Speaker 9: love the way we delivered the product, and we're going 713 00:31:51,360 --> 00:31:52,800 Speaker 9: to continue to do it that way for a long 714 00:31:52,840 --> 00:31:53,320 Speaker 9: time to come. 715 00:31:53,440 --> 00:31:56,080 Speaker 11: On the cost, because generally this market, if you track 716 00:31:56,120 --> 00:31:59,480 Speaker 11: the macro data things like dairy meats, the prices have 717 00:31:59,560 --> 00:32:01,960 Speaker 11: been right, saying how have you been accounting for that? 718 00:32:02,040 --> 00:32:03,320 Speaker 11: How do you keep your margins? 719 00:32:03,680 --> 00:32:06,840 Speaker 9: Well, we have a very diverse lineup in our menu 720 00:32:06,920 --> 00:32:10,200 Speaker 9: in terms of the proteins that we offer, so beef, chicken, pork, 721 00:32:10,240 --> 00:32:13,040 Speaker 9: different products all within our menu, and we're able to 722 00:32:13,080 --> 00:32:15,440 Speaker 9: balance that over time. So as one is high like 723 00:32:15,480 --> 00:32:18,040 Speaker 9: beef prices today, we focus on other parts of our 724 00:32:18,080 --> 00:32:19,200 Speaker 9: business and we've been able. 725 00:32:19,000 --> 00:32:20,000 Speaker 4: To maintain that over time. 726 00:32:20,000 --> 00:32:22,600 Speaker 9: We also have a very scaled supply chain over three 727 00:32:22,600 --> 00:32:25,720 Speaker 9: thousand restaurants strong. We buy in very high volumes and 728 00:32:25,840 --> 00:32:28,040 Speaker 9: are able to handle that back to our franchisees in 729 00:32:28,040 --> 00:32:30,080 Speaker 9: the form of a very low food cost around twenty 730 00:32:30,080 --> 00:32:32,320 Speaker 9: seven percent of sales, which is industry leading. 731 00:32:32,760 --> 00:32:34,800 Speaker 11: How about prices, Are you able to use that as 732 00:32:34,800 --> 00:32:37,440 Speaker 11: a lever to charge more prices for higher prices for 733 00:32:37,480 --> 00:32:38,040 Speaker 11: your sandwiches? 734 00:32:38,160 --> 00:32:40,800 Speaker 9: Certainly over time we do take price. Our long term 735 00:32:40,840 --> 00:32:43,680 Speaker 9: algorithm is low single digit same store sales growth for 736 00:32:43,720 --> 00:32:46,600 Speaker 9: this business that will be equally balanced between price and 737 00:32:46,680 --> 00:32:49,920 Speaker 9: transaction growth. We air towards transaction growth. That's really how 738 00:32:49,960 --> 00:32:51,920 Speaker 9: you grow the health of the business over time. We've 739 00:32:51,960 --> 00:32:55,080 Speaker 9: taken some price as we've seen commodity inflation, not nearly 740 00:32:55,120 --> 00:32:57,640 Speaker 9: as much as some other brands, and that, quite frankly, 741 00:32:57,720 --> 00:33:00,640 Speaker 9: is what's been fueling our growth this year and years 742 00:33:00,640 --> 00:33:03,000 Speaker 9: prior compared to the rest of the concepts out there. 743 00:33:03,040 --> 00:33:04,560 Speaker 11: All right, Charlie, that's all we have time for. Thank 744 00:33:04,560 --> 00:33:05,760 Speaker 11: you so much and congratulations. 745 00:33:05,760 --> 00:33:06,720 Speaker 4: Ah pleasure, thank you. 746 00:33:07,280 --> 00:33:10,400 Speaker 3: Stay with us. More from Bloomberg Business Weekdaily coming up 747 00:33:10,640 --> 00:33:11,160 Speaker 3: after this. 748 00:33:14,560 --> 00:33:18,040 Speaker 2: If you are listening to the Bloomberg Business Weekdaily podcast, 749 00:33:18,240 --> 00:33:21,840 Speaker 2: catch us live weekday afternoons from two to five pm Eastern. 750 00:33:21,920 --> 00:33:25,000 Speaker 2: Listen on Apple CarPlay and Android Auto with the Bloomberg 751 00:33:25,040 --> 00:33:27,760 Speaker 2: Business app, or watch us live on YouTube. 752 00:33:28,680 --> 00:33:31,360 Speaker 3: Monetary policy matters not just by what we say or 753 00:33:31,400 --> 00:33:33,160 Speaker 3: even what we do. So what did he say? What 754 00:33:33,200 --> 00:33:35,240 Speaker 3: did he do? That's what we want to kind of 755 00:33:35,240 --> 00:33:37,520 Speaker 3: get to. Let's get to it with Stuart Paul. He's 756 00:33:37,520 --> 00:33:40,360 Speaker 3: Bloomberg Economics US and Canada. Economist on set with us 757 00:33:40,400 --> 00:33:43,520 Speaker 3: right here at Bloomberg headquarters in New York City, our 758 00:33:43,640 --> 00:33:46,560 Speaker 3: Jersey out there at our Bloomberg Princeton Bureau, Bloomberg Intelligence 759 00:33:46,600 --> 00:33:50,360 Speaker 3: chief US interest rate strategists. So, Stuart Aira, I put 760 00:33:50,360 --> 00:33:54,560 Speaker 3: this pose, this question to you both. Are we overreacting? Reacting? 761 00:33:54,640 --> 00:33:56,600 Speaker 3: Is us a new version of greenspan speak? We know 762 00:33:57,320 --> 00:34:02,360 Speaker 3: the iconic fed share. He often intentional used vague, highly technical, 763 00:34:02,640 --> 00:34:06,600 Speaker 3: ambiguous language when talking about or asked about monetary policy, 764 00:34:07,040 --> 00:34:09,560 Speaker 3: and you had to read between the lines. So is this, 765 00:34:10,160 --> 00:34:12,759 Speaker 3: let me start with you, Stuart, Kevin Worsh doing the 766 00:34:12,760 --> 00:34:14,200 Speaker 3: same thing, or is he just kind of new on 767 00:34:14,239 --> 00:34:15,359 Speaker 3: the job finding his way. 768 00:34:15,600 --> 00:34:17,439 Speaker 7: I think that it's an attempt at the same thing. 769 00:34:17,480 --> 00:34:20,799 Speaker 7: I think that Kevin Worsh's attempt to use abstraction or obfuscation. 770 00:34:21,120 --> 00:34:25,800 Speaker 7: It is intended to provide less guidance to financial markets 771 00:34:25,800 --> 00:34:29,000 Speaker 7: and to market participants. But we live in a materially 772 00:34:29,040 --> 00:34:31,200 Speaker 7: different world than we did twenty years ago, and Alan 773 00:34:31,280 --> 00:34:34,439 Speaker 7: greenspand would do the same thing. Market participants are used 774 00:34:34,440 --> 00:34:37,560 Speaker 7: to guidance, for one, and we are also in a 775 00:34:37,600 --> 00:34:40,400 Speaker 7: period where we're trying to understand the federal reserves reaction 776 00:34:40,600 --> 00:34:44,080 Speaker 7: function separate apart from the verbal guidance that's being given. 777 00:34:44,320 --> 00:34:46,319 Speaker 7: So I think that the different world that we live 778 00:34:46,360 --> 00:34:51,360 Speaker 7: in actually makes it almost impossible for Kevin Worsh to 779 00:34:51,360 --> 00:34:55,640 Speaker 7: pull off a good Alan Greenspan impression. I also think 780 00:34:55,719 --> 00:34:59,280 Speaker 7: that the abstraction and obfuscation is an attempt to basically 781 00:34:59,400 --> 00:35:00,200 Speaker 7: kick the can. 782 00:35:00,080 --> 00:35:01,160 Speaker 1: Down the road a little bit. 783 00:35:01,800 --> 00:35:05,640 Speaker 7: And when you see market pricing starting to get ahead 784 00:35:05,680 --> 00:35:10,080 Speaker 7: of the FED, it actually makes it it's him failing 785 00:35:10,120 --> 00:35:12,080 Speaker 7: to do his job. If his attempt is to buy 786 00:35:12,239 --> 00:35:14,839 Speaker 7: additional time by kicking the can down the road, If 787 00:35:15,000 --> 00:35:18,640 Speaker 7: failure to provide guidance ends up resulting any sort of 788 00:35:18,680 --> 00:35:21,160 Speaker 7: additional market pricing, that will end up getting a rate hike, 789 00:35:21,239 --> 00:35:23,839 Speaker 7: let's say in September, then he's not achieving the goal 790 00:35:23,840 --> 00:35:25,120 Speaker 7: of kicking the can down the road. 791 00:35:25,320 --> 00:35:27,640 Speaker 1: We're gonna bring you in just a second. But I 792 00:35:27,640 --> 00:35:29,359 Speaker 1: want to just pull on this thread a little bit. 793 00:35:29,400 --> 00:35:31,200 Speaker 1: Why is he kicking the can? Which can is he 794 00:35:31,280 --> 00:35:32,520 Speaker 1: kicking down the road? And why do you think he's 795 00:35:32,560 --> 00:35:32,880 Speaker 1: giving this. 796 00:35:33,280 --> 00:35:35,360 Speaker 7: To go back to the To go back to the 797 00:35:35,360 --> 00:35:38,040 Speaker 7: Alan Greenspan analogy. One thing that we know that Kevin 798 00:35:38,080 --> 00:35:42,120 Speaker 7: Worsh is indexing on is the potential for AI to 799 00:35:42,239 --> 00:35:45,600 Speaker 7: produce a lot of productivity gains and additional supply capacity 800 00:35:45,640 --> 00:35:48,560 Speaker 7: that would result in disinflation, and that would make a 801 00:35:48,680 --> 00:35:53,000 Speaker 7: rate hike today a policy misstep. I think that he's 802 00:35:53,040 --> 00:35:56,600 Speaker 7: trying to draw a similar comparison to his circumstances today 803 00:35:56,680 --> 00:35:59,200 Speaker 7: to what Alan greenspand was doing in the nineties, and 804 00:35:59,280 --> 00:36:01,759 Speaker 7: so by buying some time before he has to make 805 00:36:01,840 --> 00:36:08,040 Speaker 7: any decision on policy rates, he's essentially trying to This 806 00:36:08,080 --> 00:36:10,960 Speaker 7: is the cancacking exercise. He's trying to buy that time 807 00:36:11,000 --> 00:36:13,439 Speaker 7: to avoid the potential for a policy misstep by moving 808 00:36:13,480 --> 00:36:14,480 Speaker 7: too soon in either direction. 809 00:36:14,560 --> 00:36:17,479 Speaker 3: Right now, wise Man would say, is he right, which 810 00:36:17,520 --> 00:36:20,080 Speaker 3: is something I often hear in my life from various 811 00:36:20,120 --> 00:36:24,319 Speaker 3: people in my circle in world you're right about everything. Oh, 812 00:36:24,360 --> 00:36:26,759 Speaker 3: it's not me, it's not me. Hey, Irack, come on 813 00:36:26,840 --> 00:36:29,560 Speaker 3: in on this same question to you. Is it Alan 814 00:36:29,560 --> 00:36:31,839 Speaker 3: Greenspan two point zero or is he just figuring things out? 815 00:36:31,880 --> 00:36:33,960 Speaker 3: Or do you kind of agree with what we just 816 00:36:33,960 --> 00:36:36,000 Speaker 3: got from Stewart Well. 817 00:36:36,360 --> 00:36:38,960 Speaker 12: I think he is trying to bring things back to 818 00:36:39,000 --> 00:36:42,560 Speaker 12: the pre global financial crisis communications period, and I mean 819 00:36:42,600 --> 00:36:45,920 Speaker 12: you've seen that very clearly in the last two statements 820 00:36:46,160 --> 00:36:48,480 Speaker 12: where you have one hundred and fifteen words compared to 821 00:36:48,640 --> 00:36:50,800 Speaker 12: the eight hundred words that we had in twenty fourteen 822 00:36:51,239 --> 00:36:55,840 Speaker 12: in the post meeting statement. I think that the market's 823 00:36:55,880 --> 00:36:57,759 Speaker 12: not going to like what Kevin Watrish is trying to do, 824 00:36:57,800 --> 00:37:01,400 Speaker 12: and not because it doesn't provide but mostly because it 825 00:37:01,400 --> 00:37:03,359 Speaker 12: doesn't provide any information at all. 826 00:37:03,480 --> 00:37:04,760 Speaker 1: Right, so one why. 827 00:37:04,600 --> 00:37:06,920 Speaker 12: Bother having the press conference? He said that the reason 828 00:37:07,040 --> 00:37:09,080 Speaker 12: they're doing it is because they promised to do it. 829 00:37:09,960 --> 00:37:11,879 Speaker 12: He could have just made a statement and said I'm 830 00:37:11,880 --> 00:37:14,000 Speaker 12: not taking any questions and walked away. That might have, 831 00:37:14,360 --> 00:37:16,520 Speaker 12: you know, helped him his cause at least a little bit. 832 00:37:17,200 --> 00:37:19,560 Speaker 12: And the market's not very trusting of him right now, 833 00:37:19,560 --> 00:37:21,840 Speaker 12: and in order to get that trust back, he is 834 00:37:21,920 --> 00:37:24,439 Speaker 12: going to have to kind of live up to there, 835 00:37:25,560 --> 00:37:27,839 Speaker 12: to what they've been saying. And he said we want 836 00:37:27,840 --> 00:37:30,799 Speaker 12: to fight inflation. Well to the market that's saying, okay, well, 837 00:37:30,800 --> 00:37:32,960 Speaker 12: if you're fighting inflation, that means you have to increase 838 00:37:33,000 --> 00:37:36,279 Speaker 12: interest rates. If they don't increase interest rates and you 839 00:37:36,360 --> 00:37:40,000 Speaker 12: still have three plus percent year on year PCE over 840 00:37:40,040 --> 00:37:42,040 Speaker 12: the next couple of months, the market's not going to 841 00:37:42,120 --> 00:37:43,359 Speaker 12: like that, and you're going to see more of what 842 00:37:43,400 --> 00:37:45,759 Speaker 12: you saw yesterday. You'll see higher yields in the long 843 00:37:45,880 --> 00:37:48,360 Speaker 12: end because there's going to be a lack of trust 844 00:37:48,400 --> 00:37:49,239 Speaker 12: in the Central Bank. 845 00:37:49,400 --> 00:37:52,040 Speaker 1: How high could that yield on the long end get, IIRA. 846 00:37:53,200 --> 00:37:55,680 Speaker 12: Well, so it'll be difficult for it, I think, to 847 00:37:55,719 --> 00:37:57,680 Speaker 12: break around five and a half percent, but that would 848 00:37:57,719 --> 00:38:00,600 Speaker 12: still be the highest level in almost two decades. 849 00:38:00,680 --> 00:38:00,879 Speaker 4: Right. 850 00:38:01,360 --> 00:38:04,880 Speaker 12: So that is a scenario where you have all of 851 00:38:04,880 --> 00:38:08,319 Speaker 12: these AI hyperscalers, and just about everyone who issues long 852 00:38:08,400 --> 00:38:11,120 Speaker 12: term debt is going to find it harder to borrow 853 00:38:11,320 --> 00:38:13,680 Speaker 12: or at least more expensive to borrow. Right now, whether 854 00:38:13,760 --> 00:38:16,440 Speaker 12: or not they're immune to higher interest rates or not, 855 00:38:16,719 --> 00:38:19,399 Speaker 12: I think is you have to be seen. But if 856 00:38:19,440 --> 00:38:21,520 Speaker 12: presumably if the long end goes up to five and 857 00:38:21,520 --> 00:38:23,319 Speaker 12: a half percent, you're probably going to get close to 858 00:38:23,360 --> 00:38:26,239 Speaker 12: five percent on the ten year, which means you're going 859 00:38:26,239 --> 00:38:28,080 Speaker 12: to have much higher mortgage rates. Right So you're going 860 00:38:28,120 --> 00:38:30,560 Speaker 12: to wind up with probably a slowing in the mortgage 861 00:38:30,600 --> 00:38:33,839 Speaker 12: market and the housing market in general, and it will 862 00:38:33,840 --> 00:38:36,600 Speaker 12: filter through to just about everything throughout the economy. 863 00:38:36,680 --> 00:38:38,960 Speaker 3: Right US mortgage rates already rising to a twelve month 864 00:38:39,040 --> 00:38:42,640 Speaker 3: high amid you know some of the fighting in Iran, 865 00:38:43,200 --> 00:38:45,759 Speaker 3: you know, feeling concerned about higher inflation. But it's just 866 00:38:45,920 --> 00:38:48,319 Speaker 3: kind of the general macro there on that Stuart, is. 867 00:38:48,520 --> 00:38:51,880 Speaker 1: There a real case to be made that it's not 868 00:38:51,880 --> 00:38:54,200 Speaker 1: really within the Fed's remit to communicate with us at all. 869 00:38:54,239 --> 00:38:57,120 Speaker 1: I mean, this is an organization that is responsible for 870 00:38:57,120 --> 00:39:02,280 Speaker 1: two things, maximum employment and stable prices, not explaining itself 871 00:39:02,320 --> 00:39:04,279 Speaker 1: to us, you know, eight times a year. 872 00:39:05,200 --> 00:39:10,120 Speaker 7: It's certainly not obligated to explain itself the way that 873 00:39:10,160 --> 00:39:12,800 Speaker 7: it has been, and certainly not obligated to bride guidance 874 00:39:12,840 --> 00:39:17,279 Speaker 7: to the extended guidance is useful in achieving those two objectives, 875 00:39:17,320 --> 00:39:21,960 Speaker 7: price stability and maximum employment. I think that and it's worked. 876 00:39:22,360 --> 00:39:26,760 Speaker 3: Right, has FED speak kind of like so much recent history, 877 00:39:26,800 --> 00:39:30,640 Speaker 3: which is FED speakers in general kind of maneuvering the market? 878 00:39:30,760 --> 00:39:31,279 Speaker 1: They get it. 879 00:39:31,520 --> 00:39:34,480 Speaker 7: Yeah, Look, I think that it has worked. I think 880 00:39:34,480 --> 00:39:37,120 Speaker 7: that communication as a tool is asymmetric. I think that 881 00:39:37,160 --> 00:39:40,879 Speaker 7: it's really valuable when policy rates are low. I think 882 00:39:40,920 --> 00:39:44,279 Speaker 7: that when you have two sided risk and you're trying 883 00:39:44,280 --> 00:39:46,320 Speaker 7: to be really deliberate about which direction you're going to 884 00:39:46,360 --> 00:39:48,360 Speaker 7: move on the policy front, you don't want to bind 885 00:39:48,400 --> 00:39:51,319 Speaker 7: your hands by offering too much guidance if you haven't 886 00:39:51,360 --> 00:39:53,520 Speaker 7: truly made up your mind on what you're going to 887 00:39:53,560 --> 00:39:56,000 Speaker 7: do over the next two years, it's actually it could 888 00:39:56,000 --> 00:39:58,600 Speaker 7: be a little bit detrimental to your own cause to 889 00:39:59,000 --> 00:40:01,399 Speaker 7: offer too much guide. One thing that I do want 890 00:40:01,440 --> 00:40:03,600 Speaker 7: to circle back to is the point that IRA made earlier, 891 00:40:03,680 --> 00:40:06,719 Speaker 7: which is one that Kevin Walsh also commented on during 892 00:40:06,719 --> 00:40:09,080 Speaker 7: his press conference, which is that if you end up 893 00:40:09,080 --> 00:40:11,000 Speaker 7: seeing selling off on the long end of the curve 894 00:40:11,040 --> 00:40:13,600 Speaker 7: and it does ripple through into the real economy, it's 895 00:40:13,600 --> 00:40:15,640 Speaker 7: almost as though markets are doing some of the heavy 896 00:40:15,680 --> 00:40:18,040 Speaker 7: lifting for the FED. But I think that I differ 897 00:40:18,120 --> 00:40:20,279 Speaker 7: from Chairman Warsh and maybe a little bit with IRA 898 00:40:20,400 --> 00:40:24,160 Speaker 7: here too. It seems as though over the last over 899 00:40:24,200 --> 00:40:28,239 Speaker 7: the last several years, the real economy has been basically 900 00:40:28,480 --> 00:40:32,840 Speaker 7: insensitive to both policy rates and even two longer term rates. 901 00:40:33,200 --> 00:40:36,240 Speaker 7: I think that where and maybe this is slicing everything 902 00:40:36,360 --> 00:40:38,400 Speaker 7: just a little bit too thin. The thing that I 903 00:40:38,480 --> 00:40:43,440 Speaker 7: worry about is where market volatility starts and deteriorating wealth 904 00:40:43,440 --> 00:40:46,799 Speaker 7: effects actually start weighing on consumer spending. It's really been 905 00:40:46,840 --> 00:40:50,359 Speaker 7: favorable wealth effects that have undergirded consumer spending in the 906 00:40:50,360 --> 00:40:52,920 Speaker 7: face of souring sentiment I think that if we end 907 00:40:53,000 --> 00:40:55,560 Speaker 7: up seeing that, we end up seeing market volatility and 908 00:40:55,600 --> 00:40:58,880 Speaker 7: deteriorating wealth effects. I think that that, frankly, will matter 909 00:40:58,960 --> 00:41:00,840 Speaker 7: more than sell off and bond. 910 00:41:00,640 --> 00:41:01,200 Speaker 1: To the log end. 911 00:41:01,400 --> 00:41:03,400 Speaker 3: Interesting, Hey, guys, what I want to do? And I 912 00:41:03,520 --> 00:41:06,680 Speaker 3: rack come on back in here. President Trump, shortly after 913 00:41:06,680 --> 00:41:10,040 Speaker 3: the decision, you know, made some comments about he's a 914 00:41:10,040 --> 00:41:12,799 Speaker 3: brilliant guy, I meaning Kevin Warsh he was in the 915 00:41:12,800 --> 00:41:16,000 Speaker 3: Oval office. He goes, I know, he'd love to actually 916 00:41:16,040 --> 00:41:17,920 Speaker 3: see lower interest rates. He's got a board, it's a 917 00:41:17,920 --> 00:41:20,520 Speaker 3: political board. They want to keep rates up, but we 918 00:41:20,600 --> 00:41:23,920 Speaker 3: fight through rates. Is this in your view? Do markets 919 00:41:23,960 --> 00:41:26,360 Speaker 3: think this is an independent fed share? 920 00:41:28,200 --> 00:41:28,319 Speaker 4: So? 921 00:41:28,480 --> 00:41:30,520 Speaker 12: Well, we we have you know, I talked to a 922 00:41:30,560 --> 00:41:32,800 Speaker 12: lot of investors every day. We have you know, several 923 00:41:33,040 --> 00:41:36,239 Speaker 12: thousand that we interact with on the Bloomberg terminal on 924 00:41:36,280 --> 00:41:38,800 Speaker 12: a regular basis. And one of the uh, one of 925 00:41:38,840 --> 00:41:41,040 Speaker 12: the things that people said was that there is a 926 00:41:41,120 --> 00:41:44,080 Speaker 12: large swath of investors who worry that worsh is not 927 00:41:44,440 --> 00:41:48,560 Speaker 12: uh you know, is in the is an accolade of Trump, right, 928 00:41:48,719 --> 00:41:51,000 Speaker 12: and that basically he wants the lower interest rates, but 929 00:41:51,040 --> 00:41:53,239 Speaker 12: he can't because of the committee. So you know what 930 00:41:53,239 --> 00:41:55,600 Speaker 12: President Trump said yesterday is not a surprise, and I 931 00:41:55,640 --> 00:41:58,680 Speaker 12: think it didn't really surprise many of us that you know, 932 00:41:58,719 --> 00:42:01,640 Speaker 12: Warsh maybe wants to keep where they are or ease them, 933 00:42:01,880 --> 00:42:05,040 Speaker 12: but there's a huge part of number, you know, swath 934 00:42:05,120 --> 00:42:07,439 Speaker 12: of people on the board that don't want to move 935 00:42:07,600 --> 00:42:09,920 Speaker 12: the UH, don't want to move interest rates or want 936 00:42:10,000 --> 00:42:12,400 Speaker 12: to increase them importantly, And I want to go back 937 00:42:12,440 --> 00:42:15,920 Speaker 12: to something that Stewart was mentioning before. There's a difference 938 00:42:15,960 --> 00:42:18,960 Speaker 12: between forward guidance and reaction function, right there are two 939 00:42:19,000 --> 00:42:19,760 Speaker 12: different things. 940 00:42:20,480 --> 00:42:21,920 Speaker 1: And I think Kevin. 941 00:42:21,719 --> 00:42:24,400 Speaker 12: Worsh you know, for as smart as he is, didn't 942 00:42:24,480 --> 00:42:27,840 Speaker 12: understand that the markets don't really necessarily need or want 943 00:42:28,200 --> 00:42:31,000 Speaker 12: the actual forward guidance. What they want to know is 944 00:42:31,120 --> 00:42:34,879 Speaker 12: what will you do if these three, four or five scenarios, 945 00:42:35,120 --> 00:42:37,440 Speaker 12: And if you do that, you'll actually will get then 946 00:42:37,520 --> 00:42:40,680 Speaker 12: the market reaction and what the market then telling the 947 00:42:40,719 --> 00:42:43,480 Speaker 12: Fed what it thinks is going to happen as a 948 00:42:43,520 --> 00:42:45,279 Speaker 12: forward looking discounting mechanism. 949 00:42:45,640 --> 00:42:46,399 Speaker 4: And you can't do. 950 00:42:46,400 --> 00:42:48,360 Speaker 12: That right now if you don't exactly know what the 951 00:42:48,400 --> 00:42:52,560 Speaker 12: reaction function is. Because you told us effectively at your 952 00:42:52,680 --> 00:42:55,000 Speaker 12: Humphrey hawkins sestimony that you're going to fight inflation and 953 00:42:55,040 --> 00:42:57,520 Speaker 12: you didn't, right, And that's where I think there's a 954 00:42:57,560 --> 00:43:00,480 Speaker 12: disconnect between the market and what Kevin wore think. 955 00:43:00,800 --> 00:43:03,680 Speaker 7: It's an interesting point that you make, Ira, And Kevin 956 00:43:03,719 --> 00:43:07,880 Speaker 7: Warsh said a few times over that he's happy that 957 00:43:08,000 --> 00:43:11,080 Speaker 7: markets are playing, that markets are playing the ball, they're 958 00:43:11,120 --> 00:43:13,880 Speaker 7: following the data rather than playing the ref the FED. 959 00:43:14,680 --> 00:43:17,160 Speaker 7: I think that that's a horrible analogy that Chairman worsh 960 00:43:17,280 --> 00:43:20,080 Speaker 7: was making though, because the FED is a player on 961 00:43:20,160 --> 00:43:23,080 Speaker 7: the field, right, So it's not the case that markets 962 00:43:23,080 --> 00:43:25,760 Speaker 7: can just strictly pay attention to the data without knowing 963 00:43:25,800 --> 00:43:29,160 Speaker 7: the fed's reaction function. You're exactly right, Ira, And when 964 00:43:29,320 --> 00:43:32,439 Speaker 7: Chairman Walsh is unwilling to specify either how he would 965 00:43:32,440 --> 00:43:35,000 Speaker 7: respond to different scenarios because he doesn't want to bind 966 00:43:35,040 --> 00:43:37,520 Speaker 7: his own hands, or he doesn't even want to specify 967 00:43:37,600 --> 00:43:41,400 Speaker 7: what inflation measures he's looking at, it becomes really difficult 968 00:43:41,560 --> 00:43:45,000 Speaker 7: for markets to anticipate what the other player on the 969 00:43:45,040 --> 00:43:47,560 Speaker 7: field is doing. To put this in sort of a 970 00:43:47,640 --> 00:43:51,759 Speaker 7: geopolitical context as an analogy, the US has always maintained this, 971 00:43:51,840 --> 00:43:55,239 Speaker 7: you know, sort of strategic ambiguity about what it would 972 00:43:55,280 --> 00:43:58,600 Speaker 7: do in the context of China and Iran, or excuse me, 973 00:43:58,680 --> 00:44:03,440 Speaker 7: China and Taiwan. But strategic ambiguity does not work for 974 00:44:04,120 --> 00:44:06,919 Speaker 7: the most important central bank. It does not work when 975 00:44:06,920 --> 00:44:09,760 Speaker 7: you have literally trillions of dollars moving around the world, 976 00:44:09,800 --> 00:44:12,279 Speaker 7: and it does not work when you're trying to at 977 00:44:12,400 --> 00:44:17,720 Speaker 7: least ensure stable prices, maximum employment and stability and financial markets. 978 00:44:17,800 --> 00:44:21,480 Speaker 7: It's not really a strategy strategic ambiguity. 979 00:44:21,719 --> 00:44:24,880 Speaker 3: All right, Well, you can read a lot about all this, 980 00:44:25,080 --> 00:44:29,279 Speaker 3: the questions after that press conference and decision by the 981 00:44:29,360 --> 00:44:31,399 Speaker 3: FMC and really the new fedchair. All right, guys, thank 982 00:44:31,400 --> 00:44:33,520 Speaker 3: you so much, really appreciate it. As Alway Stewart, Paul 983 00:44:33,520 --> 00:44:37,560 Speaker 3: Bloomberg Economics US and Canada economist, Our Jersey Bloomberg Intelligence 984 00:44:37,680 --> 00:44:39,640 Speaker 3: Chief US interest rates strategist. 985 00:44:40,360 --> 00:44:45,719 Speaker 2: This is the Bloomberg Business Week Daily podcast, available on Apple, Spotify, 986 00:44:45,840 --> 00:44:49,560 Speaker 2: and anywhere else you get your podcasts. Listen live weekday 987 00:44:49,600 --> 00:44:53,600 Speaker 2: afternoons from two to five pm Eastern on Bloomberg dot Com, 988 00:44:53,640 --> 00:44:57,560 Speaker 2: the iHeartRadio app, tune In, and the Bloomberg Business App. 989 00:44:57,800 --> 00:45:00,840 Speaker 2: You can also watch us live every weekday YouTube and 990 00:45:01,040 --> 00:45:02,920 Speaker 2: always on the Bloomberg terminal. 991 00:45:04,080 --> 00:45:10,400 Speaker 10: MHM