1 00:00:02,400 --> 00:00:10,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:11,920 --> 00:00:16,320 Speaker 2: This is the Bloomberg Surveillance Podcast. Can't just live weekdays 3 00:00:16,320 --> 00:00:19,560 Speaker 2: at seven am Eastern on Apple car Player, Android Auto 4 00:00:19,720 --> 00:00:23,080 Speaker 2: with the Bloomberg Business App, Listen on demand wherever you 5 00:00:23,120 --> 00:00:26,200 Speaker 2: get your podcasts, or watch us live on YouTube. 6 00:00:26,520 --> 00:00:28,280 Speaker 3: I just go to our first guest here, Robert Teeter. 7 00:00:28,320 --> 00:00:31,479 Speaker 4: He's a chief investment strategist Silver Crest Asset Management joints 8 00:00:31,520 --> 00:00:33,320 Speaker 4: us here in our Bloomberg and Directive Brookers studio. So 9 00:00:33,320 --> 00:00:36,879 Speaker 4: it gets a double gold star coming in on right 10 00:00:36,960 --> 00:00:42,120 Speaker 4: and early exactly. Robert again just mentioning the lack of 11 00:00:42,159 --> 00:00:44,360 Speaker 4: participation may be in this marketplace when you look at 12 00:00:44,360 --> 00:00:48,680 Speaker 4: the SMP up twenty six percent, the SP equal Weighted 13 00:00:48,720 --> 00:00:51,720 Speaker 4: Index up twelve thirteen to fourteen percent, So big divergence 14 00:00:51,760 --> 00:00:53,120 Speaker 4: there is that a concern for you. 15 00:00:53,560 --> 00:00:55,840 Speaker 5: It is a bit of a concern. I think most 16 00:00:55,880 --> 00:00:58,600 Speaker 5: of it is tied to moves in interest rates. In 17 00:00:58,880 --> 00:01:00,640 Speaker 5: my view, we've had a lot of the head fakes 18 00:01:00,680 --> 00:01:04,000 Speaker 5: where you've had enthusiasm over rates coming down more quickly. 19 00:01:04,040 --> 00:01:07,279 Speaker 5: That's led to a broadening out of markets and once again, 20 00:01:07,400 --> 00:01:09,440 Speaker 5: you know we've had that rug pulled out from under 21 00:01:09,520 --> 00:01:11,840 Speaker 5: us with you know, rate expectations for next year now 22 00:01:11,880 --> 00:01:14,640 Speaker 5: being dialed back pretty significantly, and with the ten year 23 00:01:14,640 --> 00:01:16,600 Speaker 5: heading higher, and is the rate on the ten year 24 00:01:16,600 --> 00:01:19,440 Speaker 5: heads higher, people get more and more concerned about smaller companies, 25 00:01:19,760 --> 00:01:21,840 Speaker 5: and you have that narrowing of the market where the 26 00:01:21,880 --> 00:01:24,840 Speaker 5: winners keep winning and the laggards keep lagging by quite 27 00:01:24,880 --> 00:01:27,520 Speaker 5: a bit. The tide could turn for twenty twenty five, 28 00:01:27,560 --> 00:01:30,480 Speaker 5: but that's been the strongest relationship that we've seen for 29 00:01:30,640 --> 00:01:33,679 Speaker 5: that relationship between large and small has been where rates 30 00:01:33,680 --> 00:01:34,760 Speaker 5: are and where they're headed. 31 00:01:35,080 --> 00:01:37,560 Speaker 6: So how are you advising clients to position going at 32 00:01:37,600 --> 00:01:38,199 Speaker 6: in next year. 33 00:01:38,680 --> 00:01:41,840 Speaker 5: We're pretty enthusiastic about small caps for next year. One 34 00:01:41,880 --> 00:01:43,720 Speaker 5: of the key reasons is the M and A works. 35 00:01:44,080 --> 00:01:47,520 Speaker 5: It is it's almost for a long time not working. Yes, 36 00:01:48,720 --> 00:01:51,040 Speaker 5: but we do see a couple of new catalysts and 37 00:01:51,040 --> 00:01:53,960 Speaker 5: those are really with the change in Washington. So M 38 00:01:53,960 --> 00:01:56,080 Speaker 5: and A backdrop, you know, that was a very slow 39 00:01:56,160 --> 00:01:58,200 Speaker 5: environment for most of twenty twenty four. 40 00:01:58,680 --> 00:01:59,800 Speaker 7: Everything we're hearing is. 41 00:01:59,760 --> 00:02:02,200 Speaker 5: That the backlog of deal activity is picking up. People 42 00:02:02,240 --> 00:02:05,160 Speaker 5: are pretty enthusiastic. That tends to accrue to small caps. 43 00:02:05,160 --> 00:02:07,760 Speaker 5: They tend to be the acquisition target and that gets 44 00:02:07,800 --> 00:02:10,200 Speaker 5: you a premium there, and that helps a bit. We 45 00:02:10,240 --> 00:02:12,960 Speaker 5: think the broadening out will continue slowly as rates heads 46 00:02:13,000 --> 00:02:14,560 Speaker 5: slowly lower over the course. 47 00:02:14,400 --> 00:02:15,359 Speaker 7: Of twenty twenty five. 48 00:02:15,400 --> 00:02:18,000 Speaker 5: I'll probably say slowly three or four times, but we 49 00:02:18,040 --> 00:02:20,480 Speaker 5: do think that's headed lower. That alleviates a little pressure 50 00:02:20,520 --> 00:02:22,920 Speaker 5: as well. And then lastly, we see some of this 51 00:02:23,040 --> 00:02:26,240 Speaker 5: profit margin expansion that's been mainly in large caps broadening 52 00:02:26,280 --> 00:02:28,440 Speaker 5: out to the small cap space as well. Of course, 53 00:02:28,440 --> 00:02:30,720 Speaker 5: there are a lot of non earners in indices like 54 00:02:30,720 --> 00:02:33,240 Speaker 5: the Russell two thousand, but we do think there's potential 55 00:02:33,240 --> 00:02:36,320 Speaker 5: for profit margin gain as AI and productivity spreads to 56 00:02:36,440 --> 00:02:38,160 Speaker 5: a broader segment of the market. 57 00:02:38,240 --> 00:02:40,280 Speaker 6: I just pulled up in my g where I have 58 00:02:40,320 --> 00:02:42,000 Speaker 6: a lot of my charts saved. It's the Russell two 59 00:02:42,040 --> 00:02:44,280 Speaker 6: thousand relative to the S and P five hundred year 60 00:02:44,320 --> 00:02:46,240 Speaker 6: to date. So if you look at this year, it's 61 00:02:46,320 --> 00:02:49,400 Speaker 6: underperforming the S and P five hundred by fourteen percentage points, 62 00:02:49,400 --> 00:02:52,880 Speaker 6: So that would be the worst underperformance since actually nineteen 63 00:02:52,960 --> 00:02:54,960 Speaker 6: ninety eight, in the fourth consecutive year in a row 64 00:02:55,120 --> 00:02:56,959 Speaker 6: that the Russell two thousands under performed the S and 65 00:02:57,000 --> 00:02:58,600 Speaker 6: P five hundred. So when you look at an index 66 00:02:58,680 --> 00:03:01,080 Speaker 6: like that versus the S and P six hundred, better 67 00:03:01,120 --> 00:03:03,560 Speaker 6: earnings potential in the six hundred obviously than the two 68 00:03:03,600 --> 00:03:06,440 Speaker 6: thousand because of the zombie companies in the two thousand. 69 00:03:06,639 --> 00:03:07,840 Speaker 6: Which way do you play that? 70 00:03:08,240 --> 00:03:11,520 Speaker 5: Yeah, Absolutely towards the S and P six hundred, the earners. 71 00:03:11,840 --> 00:03:14,800 Speaker 5: Sometimes when you get these these quick turns, it accrues 72 00:03:14,840 --> 00:03:17,239 Speaker 5: to the whole index and some of the quote unquote 73 00:03:17,240 --> 00:03:20,160 Speaker 5: garbage rallies faster. But I think for the full twenty 74 00:03:20,240 --> 00:03:23,000 Speaker 5: twenty five, the reason we're enthusiastic about small caps it 75 00:03:23,040 --> 00:03:26,239 Speaker 5: is the higher quality, profitable companies in small cap narrowing 76 00:03:26,240 --> 00:03:28,160 Speaker 5: the gap against their large cap competitors. 77 00:03:28,240 --> 00:03:31,040 Speaker 6: Which ones do you think are more competitive and more 78 00:03:31,080 --> 00:03:32,800 Speaker 6: profitable in particular industries? 79 00:03:33,000 --> 00:03:36,000 Speaker 5: Yeah, I think it's really a stock by stock situation, 80 00:03:36,280 --> 00:03:38,600 Speaker 5: not only in small cap but in large cap as well. 81 00:03:38,680 --> 00:03:40,840 Speaker 5: So our view has been that the driver going forward 82 00:03:40,880 --> 00:03:43,480 Speaker 5: will be, you know, less from the economic side, less 83 00:03:43,480 --> 00:03:46,240 Speaker 5: from the multiple side, and more from the earnings growth side. 84 00:03:46,400 --> 00:03:48,480 Speaker 5: And the earnings growth side we see really coming from 85 00:03:48,520 --> 00:03:50,680 Speaker 5: profit margins rather than the top line. And so it's 86 00:03:50,760 --> 00:03:54,080 Speaker 5: just this case by case implementation of you know, technology 87 00:03:54,160 --> 00:03:57,160 Speaker 5: enabled efficiencies boosting margins, and that can come in any 88 00:03:57,160 --> 00:03:58,800 Speaker 5: industry or any company at any time. 89 00:03:58,880 --> 00:04:00,400 Speaker 7: So it's a harder market. 90 00:04:00,440 --> 00:04:02,280 Speaker 5: We think it is one that lends itself more to 91 00:04:02,320 --> 00:04:06,160 Speaker 5: stock selection, understanding management teams, understanding you know, how the 92 00:04:06,320 --> 00:04:09,440 Speaker 5: environment might shift from the creators of AI to the 93 00:04:09,520 --> 00:04:12,200 Speaker 5: users of AI, and those users of AI really deploying 94 00:04:12,200 --> 00:04:13,920 Speaker 5: in an effective way to boost margins. 95 00:04:14,160 --> 00:04:15,480 Speaker 3: What are we doing in the bond market here? 96 00:04:15,520 --> 00:04:16,960 Speaker 4: I can sit there in a two year treasure and 97 00:04:17,000 --> 00:04:18,279 Speaker 4: get four point three three percent. 98 00:04:18,279 --> 00:04:19,000 Speaker 3: I don't have to be a. 99 00:04:18,960 --> 00:04:21,960 Speaker 7: Hero, do I take you credit risk here? We have 100 00:04:22,000 --> 00:04:24,920 Speaker 7: not been big fans of credit risk. You're absolutely right. 101 00:04:24,960 --> 00:04:26,800 Speaker 5: You get a pretty good yield without taking on that 102 00:04:26,880 --> 00:04:31,520 Speaker 5: illiquidity premium or in private and the credit risk premium 103 00:04:31,520 --> 00:04:33,840 Speaker 5: in the credit space. So we've been pretty cautious there. 104 00:04:34,000 --> 00:04:36,159 Speaker 5: You know, we've missed out obviously. Those are areas that 105 00:04:36,160 --> 00:04:38,360 Speaker 5: have done quite well, but pretty easy to sit at 106 00:04:38,360 --> 00:04:39,719 Speaker 5: the short end of the curve and get, you know, 107 00:04:39,760 --> 00:04:42,080 Speaker 5: close to five percent and be pretty content there. 108 00:04:42,480 --> 00:04:45,040 Speaker 6: So when people want to talk about especially the annual 109 00:04:45,040 --> 00:04:46,840 Speaker 6: gains in the S and P five hundred being up 110 00:04:46,960 --> 00:04:49,800 Speaker 6: once again more than twenty percent this year, second consecutive 111 00:04:49,839 --> 00:04:51,800 Speaker 6: year in a row and the first time we've seen 112 00:04:51,800 --> 00:04:54,760 Speaker 6: that since the late nineteen nineties. How are you thinking 113 00:04:54,800 --> 00:04:57,000 Speaker 6: next year can shape out? And can that continue to 114 00:04:57,040 --> 00:04:59,360 Speaker 6: where we'll still have double digit maybe even more than 115 00:04:59,360 --> 00:05:02,640 Speaker 6: twenty percent again for potentially a third consecutive year in a row. 116 00:05:02,920 --> 00:05:04,920 Speaker 7: I see that as a pretty low probability. 117 00:05:05,000 --> 00:05:07,599 Speaker 5: So our base case is really nine percent gains, just 118 00:05:07,640 --> 00:05:11,320 Speaker 5: tracking earnings higher, holding multiples where they are. Street consensus 119 00:05:11,360 --> 00:05:13,839 Speaker 5: is more like, you know, fifteen percent fourteen percent earnings, 120 00:05:13,880 --> 00:05:16,760 Speaker 5: where at about nine you could see a case where 121 00:05:16,920 --> 00:05:19,680 Speaker 5: enthusiasm builds. We've got pretty high multiples here. You know, 122 00:05:19,720 --> 00:05:22,480 Speaker 5: most of the twenty twenty four gain, about two thirds 123 00:05:22,520 --> 00:05:24,480 Speaker 5: of it has come from multiple expansions, So we think 124 00:05:24,480 --> 00:05:27,360 Speaker 5: we've kind of pulled forward some gains. Unlikely to see 125 00:05:27,400 --> 00:05:29,479 Speaker 5: that happen, but you know, you could always push higher 126 00:05:29,480 --> 00:05:32,640 Speaker 5: to those nineties type of multiples. I think that's that's unlikely. 127 00:05:33,160 --> 00:05:35,080 Speaker 5: And the big key for us is really the economy. 128 00:05:35,120 --> 00:05:38,080 Speaker 5: If there's no recession, we think that earnings backdrop holds 129 00:05:38,120 --> 00:05:40,920 Speaker 5: and the gains continue, but only at the high single 130 00:05:40,960 --> 00:05:42,440 Speaker 5: digit level, not not much more than that. 131 00:05:42,520 --> 00:05:43,920 Speaker 3: Why did you, I mean the street, I think one 132 00:05:43,920 --> 00:05:44,360 Speaker 3: of the risks. 133 00:05:44,360 --> 00:05:46,960 Speaker 4: Perhaps in a market in twenty twenty five, is the 134 00:05:47,000 --> 00:05:49,520 Speaker 4: earnings risk because I think I've got to fed it's 135 00:05:49,520 --> 00:05:51,479 Speaker 4: going to cut maybe a couple of times, so that's. 136 00:05:51,279 --> 00:05:52,560 Speaker 3: Not really going to be a catalyst for me. 137 00:05:52,800 --> 00:05:55,599 Speaker 4: Earnings really have to come through for this market to 138 00:05:55,600 --> 00:05:59,120 Speaker 4: move higher. And again thirteen fourteen, fifteen percent earning shots, 139 00:05:59,120 --> 00:06:02,120 Speaker 4: which seems to be dialed into street consensus, that seems 140 00:06:02,120 --> 00:06:05,560 Speaker 4: pretty I'm not to say aggressive, but boy, that's a 141 00:06:05,560 --> 00:06:06,080 Speaker 4: heavy lift. 142 00:06:06,080 --> 00:06:08,040 Speaker 5: I would think I think it's a heavy lift as well, 143 00:06:08,120 --> 00:06:10,320 Speaker 5: especially when you look through at at a sector level. 144 00:06:10,440 --> 00:06:12,400 Speaker 5: You know, some of the cyclical sectors are expected to 145 00:06:12,400 --> 00:06:14,720 Speaker 5: see pretty high earnings gains. I'm not sure how that 146 00:06:14,760 --> 00:06:18,320 Speaker 5: happens unless the economy reaccelerates, and I don't see that happening. 147 00:06:18,320 --> 00:06:20,880 Speaker 5: I certainly don't see a recession. But if you're tracking 148 00:06:20,960 --> 00:06:23,720 Speaker 5: along at two two and a half percent GDP, I'm 149 00:06:23,760 --> 00:06:25,479 Speaker 5: not sure how you get an acceleration in some of 150 00:06:25,480 --> 00:06:27,440 Speaker 5: the cyclical space. So that's one reason we're a bit 151 00:06:27,480 --> 00:06:30,320 Speaker 5: more conservative on the earnings front than street consensus. 152 00:06:30,400 --> 00:06:32,719 Speaker 6: We'll leave about thirty seconds left, But what's the top 153 00:06:32,760 --> 00:06:35,159 Speaker 6: advice you'd give your clients going into twenty twenty five. 154 00:06:35,480 --> 00:06:36,600 Speaker 7: Yeah, I think it's stay the course. 155 00:06:36,640 --> 00:06:39,080 Speaker 5: You know, Paul was mentioning about the long term, you know, 156 00:06:39,160 --> 00:06:41,440 Speaker 5: compounding effect, and I think, really stay the course here. 157 00:06:41,480 --> 00:06:44,880 Speaker 5: There's no immediate you know, big recession. There's no giant 158 00:06:44,880 --> 00:06:48,520 Speaker 5: imbalance in markets right now. Economy looks okay, earnings look okay. 159 00:06:48,600 --> 00:06:50,800 Speaker 5: Just keep compounding that earnings growth going forward. 160 00:06:51,000 --> 00:06:52,960 Speaker 3: That's a message I give to my kids. 161 00:06:52,960 --> 00:06:56,680 Speaker 4: Three or humor in the working force, match your four one. 162 00:06:56,760 --> 00:06:57,280 Speaker 4: That's right. 163 00:06:57,360 --> 00:06:58,800 Speaker 7: Yeah, and I thweek they're doing it. 164 00:06:58,760 --> 00:07:00,800 Speaker 3: And I think that's going to be it. So good thing. 165 00:07:00,880 --> 00:07:02,800 Speaker 4: Robert Teeter, thank you so much for joining us. Robert Teeter, 166 00:07:03,200 --> 00:07:06,279 Speaker 4: chief investment strategy is Silver Cross Asset Men and Management, 167 00:07:06,320 --> 00:07:10,360 Speaker 4: joining us here in studio on Friday, December twenty seventh. 168 00:07:10,400 --> 00:07:14,320 Speaker 4: I mean that exactly. I mean definitely. So we appreciate that. 169 00:07:18,920 --> 00:07:22,760 Speaker 2: You're listening to the Bloomberg Surveillance Podcast. Catch us live 170 00:07:22,880 --> 00:07:26,160 Speaker 2: weekday afternoons from seven to ten am Easter Listen on 171 00:07:26,200 --> 00:07:29,440 Speaker 2: Apple car Play and Android Auto with a Bloomberg Business app, 172 00:07:29,560 --> 00:07:31,320 Speaker 2: or watch us live on YouTube. 173 00:07:31,840 --> 00:07:34,080 Speaker 4: I know, as long as I can remember, you probably 174 00:07:34,120 --> 00:07:35,760 Speaker 4: know this better than me, But it just seems like 175 00:07:36,120 --> 00:07:40,280 Speaker 4: tech has been leading this market forever and I can't 176 00:07:40,280 --> 00:07:42,880 Speaker 4: imagine a market where tech does not lead. 177 00:07:43,040 --> 00:07:45,200 Speaker 3: I mean, is you know it doesn't lead. 178 00:07:45,120 --> 00:07:47,760 Speaker 6: Us hard all different acronyms. We've gone from things to 179 00:07:48,040 --> 00:07:50,280 Speaker 6: Matt seven's. Now people want to call it batman if 180 00:07:50,280 --> 00:07:51,320 Speaker 6: you throw in break data. 181 00:07:51,560 --> 00:07:53,600 Speaker 7: Now. 182 00:07:53,640 --> 00:07:55,080 Speaker 4: Our next guest has been on top of all this, 183 00:07:55,160 --> 00:07:58,280 Speaker 4: Melissa Auto, head of TMT Research at sp Global Visible 184 00:07:58,320 --> 00:08:03,040 Speaker 4: Alpha Joints US. Here in our our studio, Melissa, what 185 00:08:03,120 --> 00:08:05,640 Speaker 4: is your call on what are some of your. 186 00:08:05,600 --> 00:08:07,560 Speaker 3: Top picks in global tech? 187 00:08:07,600 --> 00:08:10,640 Speaker 4: Because again it feels like if this market's going to 188 00:08:10,680 --> 00:08:13,520 Speaker 4: move higher, another leg higher after two twenty plus years 189 00:08:13,520 --> 00:08:17,080 Speaker 4: in performance, technology has got to leave us yet again? 190 00:08:17,400 --> 00:08:19,840 Speaker 4: Do you think technology can lead this market yet again? 191 00:08:20,520 --> 00:08:23,280 Speaker 1: Good morning, Happy holidays twenty twenty five. 192 00:08:23,320 --> 00:08:24,240 Speaker 7: Here we call yep. 193 00:08:26,080 --> 00:08:28,760 Speaker 1: You know, I think there are a couple trends that 194 00:08:28,800 --> 00:08:31,760 Speaker 1: we're really looking at for twenty twenty five. First and foremost, 195 00:08:31,800 --> 00:08:33,880 Speaker 1: are we going to start to see an upgrade cycle? 196 00:08:34,800 --> 00:08:37,560 Speaker 1: We were looking for that this year it didn't really 197 00:08:37,679 --> 00:08:42,440 Speaker 1: pan out. Apple and Dell look very well positioned to 198 00:08:42,480 --> 00:08:47,920 Speaker 1: benefit from an upgrade cycle based on visible African census. 199 00:08:47,920 --> 00:08:52,760 Speaker 1: We're seeing that analysts haven't really taken their numbers up 200 00:08:52,760 --> 00:08:56,400 Speaker 1: for an upgrade cycle. But if we do start to 201 00:08:56,440 --> 00:08:59,760 Speaker 1: see a catalyst there, that would be an interesting theme 202 00:09:00,760 --> 00:09:04,360 Speaker 1: enterprises coming in and saying, Okay, we need to upgrade 203 00:09:04,840 --> 00:09:09,520 Speaker 1: our employees laptops, our employees iPhones, and we saw that 204 00:09:10,360 --> 00:09:16,440 Speaker 1: in mass in COVID and so you know, we haven't 205 00:09:16,480 --> 00:09:19,440 Speaker 1: really seen that cycle kick in yet. So over the 206 00:09:19,480 --> 00:09:25,320 Speaker 1: next say, six to eighteen months, that could potentially be 207 00:09:25,360 --> 00:09:29,000 Speaker 1: a window where that kicks into gear and would be positive. 208 00:09:29,440 --> 00:09:32,640 Speaker 6: It's interesting looking at Apple specifically because the stocks up 209 00:09:32,679 --> 00:09:34,880 Speaker 6: about thirty five percent year to date, and if you 210 00:09:35,280 --> 00:09:37,040 Speaker 6: think back to the first quarter of this year, that 211 00:09:37,120 --> 00:09:39,440 Speaker 6: was one of its worst underperformances relative to the S 212 00:09:39,480 --> 00:09:43,560 Speaker 6: and P five hundred since the dot com bubble bursting there. 213 00:09:44,120 --> 00:09:47,160 Speaker 6: But since made a bottom in the middle of April, 214 00:09:47,200 --> 00:09:49,160 Speaker 6: it's just continued to taken off and to fight a 215 00:09:49,200 --> 00:09:51,640 Speaker 6: lot of those expectations. Obviously, in early May it announced 216 00:09:51,679 --> 00:09:54,959 Speaker 6: that another historic buyback program that still needs to execute 217 00:09:55,320 --> 00:09:57,360 Speaker 6: a lot of that on. But when you're thinking about 218 00:09:57,400 --> 00:09:59,839 Speaker 6: more of the fundamentals versus the technicals, where do you 219 00:10:00,240 --> 00:10:02,600 Speaker 6: this is pointing in the direction when you have other 220 00:10:02,640 --> 00:10:05,920 Speaker 6: stocks like Nvidia and a very different type of chip company. 221 00:10:05,960 --> 00:10:07,960 Speaker 6: But when you're thinking about how to position into that 222 00:10:08,000 --> 00:10:08,440 Speaker 6: next year. 223 00:10:09,160 --> 00:10:12,520 Speaker 1: Indeed, we're an interesting point with Apple. They were a 224 00:10:12,520 --> 00:10:16,720 Speaker 1: bit late to the game around the whole AI theme. 225 00:10:17,400 --> 00:10:22,600 Speaker 1: They came out in June at WWDC and revealed their 226 00:10:22,679 --> 00:10:27,840 Speaker 1: Apple Intelligence and the market got very excited about that. 227 00:10:28,120 --> 00:10:31,200 Speaker 1: It drove some upside in the stock, and then you know, 228 00:10:31,240 --> 00:10:33,680 Speaker 1: it's sort of petered out. And I think we're coming 229 00:10:33,720 --> 00:10:37,719 Speaker 1: into twenty twenty five potentially with this upgrade cycle in 230 00:10:37,840 --> 00:10:43,720 Speaker 1: mind and the idea that AI may start to drive 231 00:10:43,840 --> 00:10:48,320 Speaker 1: more of an enterprise adoption, and that enterprise adoption could 232 00:10:48,360 --> 00:10:53,640 Speaker 1: potentially lead us into a broader adoption. And I think 233 00:10:53,720 --> 00:10:57,760 Speaker 1: that's what the market is, that there's some market consensus 234 00:10:57,800 --> 00:11:01,199 Speaker 1: around that theme. There's a lot of debate. 235 00:11:00,960 --> 00:11:03,040 Speaker 3: Though, AI. 236 00:11:04,880 --> 00:11:06,680 Speaker 4: How much are you buying into this AI thing? I 237 00:11:06,679 --> 00:11:11,840 Speaker 4: mean everybody's telling me. You know, Gene Munster, you know, 238 00:11:11,880 --> 00:11:14,200 Speaker 4: he put it into context of it's it's bigger than 239 00:11:14,200 --> 00:11:16,960 Speaker 4: the Internet potentially. How do you think about it? How 240 00:11:16,960 --> 00:11:19,680 Speaker 4: does that factor into your kind of your thematic research AI? 241 00:11:21,400 --> 00:11:26,840 Speaker 1: The challenge with AI is that in building AI application, 242 00:11:27,040 --> 00:11:29,760 Speaker 1: So we've seen to your point, we've seen a lot 243 00:11:29,760 --> 00:11:32,839 Speaker 1: of innovation in the chip and in the model. Where 244 00:11:32,920 --> 00:11:36,280 Speaker 1: the challenge is the is in the application layer. And 245 00:11:36,480 --> 00:11:38,840 Speaker 1: part of the reason for that is that the application 246 00:11:39,000 --> 00:11:45,920 Speaker 1: layer requires deep domain expertise, and in order to have 247 00:11:46,000 --> 00:11:51,560 Speaker 1: the application really resonate with the user and really be 248 00:11:51,800 --> 00:11:57,120 Speaker 1: useful to us, it requires a high degree of accuracy. 249 00:11:57,640 --> 00:12:00,719 Speaker 1: And I think that's where it's becoming challengeing, is that 250 00:12:01,160 --> 00:12:04,320 Speaker 1: when you have an agent or you have some sort 251 00:12:04,360 --> 00:12:15,200 Speaker 1: of generative AI bot or tool, it's not as smooth 252 00:12:15,440 --> 00:12:19,760 Speaker 1: or as streamlined or as accurate sometimes as the user 253 00:12:19,880 --> 00:12:22,000 Speaker 1: needs it to be. And so I think that's where 254 00:12:22,200 --> 00:12:26,200 Speaker 1: you know, you're getting some pushback, particularly in enterprises, where 255 00:12:26,280 --> 00:12:30,200 Speaker 1: companies are saying, hey, if we're going to have our salespeople, 256 00:12:30,240 --> 00:12:31,679 Speaker 1: if we're going to have marketing, if we're going to 257 00:12:31,720 --> 00:12:35,240 Speaker 1: have you know, the business side really leveraging this, it 258 00:12:35,360 --> 00:12:38,760 Speaker 1: needs to be very high quality. And I think that's 259 00:12:38,800 --> 00:12:42,600 Speaker 1: where you know, if you're looking for a hotel, for example, 260 00:12:42,640 --> 00:12:47,040 Speaker 1: and it's a little bit off, that's one thing, But 261 00:12:47,120 --> 00:12:50,079 Speaker 1: if you're having it write an email for a customer, 262 00:12:50,200 --> 00:12:54,480 Speaker 1: that's a different thing. So I think having the domain 263 00:12:54,520 --> 00:12:58,080 Speaker 1: expertise in the application layer is probably making it a 264 00:12:58,080 --> 00:13:02,439 Speaker 1: bit slower than the market had initially expected. 265 00:13:02,880 --> 00:13:04,880 Speaker 6: So, Paul, who do you think is the best performing 266 00:13:04,920 --> 00:13:06,760 Speaker 6: stock in the S and P five hundred this year? 267 00:13:07,160 --> 00:13:09,600 Speaker 6: Because there's one stock that comes in mind, so you 268 00:13:09,600 --> 00:13:12,280 Speaker 6: would think it was, it's actually it was for most 269 00:13:12,320 --> 00:13:12,679 Speaker 6: of the year. 270 00:13:12,720 --> 00:13:13,439 Speaker 7: It's Vistra. 271 00:13:14,040 --> 00:13:16,440 Speaker 6: Actually, so it's the power producers that are tied to 272 00:13:16,440 --> 00:13:18,239 Speaker 6: the AI play and utilities. 273 00:13:18,320 --> 00:13:19,600 Speaker 7: So actually that stocks up. 274 00:13:20,400 --> 00:13:23,000 Speaker 6: Gosh, if you look at that f VST is actually 275 00:13:23,000 --> 00:13:25,640 Speaker 6: the ticker symbol on this up two hundred and seventy 276 00:13:25,760 --> 00:13:27,880 Speaker 6: four percent. So when it comes to more of the 277 00:13:28,000 --> 00:13:31,720 Speaker 6: data center type plays, I'm wondering what's your view on 278 00:13:31,760 --> 00:13:33,760 Speaker 6: that when it's beyond even just what you think of 279 00:13:33,800 --> 00:13:35,760 Speaker 6: the cohort of the mag seven if you're thinking about 280 00:13:35,760 --> 00:13:38,400 Speaker 6: those sort of data center plays that people are investing in. 281 00:13:38,400 --> 00:13:41,280 Speaker 6: Because Nvidia actually up one hundred and eighty three percent 282 00:13:41,320 --> 00:13:42,079 Speaker 6: year today. 283 00:13:42,000 --> 00:13:46,199 Speaker 1: Right, Yeah. I mean SMP Global four or five to 284 00:13:46,200 --> 00:13:48,520 Speaker 1: one research has done a lot of work on the 285 00:13:48,679 --> 00:13:53,240 Speaker 1: energy side of it, and Vistra fits right into that. 286 00:13:53,360 --> 00:14:00,840 Speaker 1: With the potential merger of Energy Harbor, they are likely 287 00:14:00,880 --> 00:14:04,320 Speaker 1: to really benefit from the AI data center energy consumption. 288 00:14:04,440 --> 00:14:05,360 Speaker 7: I mean that it's. 289 00:14:06,640 --> 00:14:14,839 Speaker 1: The reality is that all this computation and the velocity 290 00:14:14,920 --> 00:14:19,040 Speaker 1: of power that is required for a data center is going. 291 00:14:18,800 --> 00:14:23,920 Speaker 4: To increase real quick thirty seconds. Microsoft what you call there? 292 00:14:24,720 --> 00:14:29,760 Speaker 1: You know, Microsoft's interesting. They recast their accounting lines. They 293 00:14:29,800 --> 00:14:34,200 Speaker 1: now have an AI services line, and what's amazing about 294 00:14:34,200 --> 00:14:37,480 Speaker 1: that is that we can start to really see how 295 00:14:37,520 --> 00:14:43,680 Speaker 1: AI is dropping into their P and L. And Microsoft 296 00:14:44,640 --> 00:14:47,000 Speaker 1: last year did about four billion dollars in that line, 297 00:14:47,040 --> 00:14:49,360 Speaker 1: and then based on Visible Aphric consensus, that's going to 298 00:14:49,480 --> 00:14:53,240 Speaker 1: eighteen billion dollars by fiscal year twenty six, So some 299 00:14:53,280 --> 00:14:55,160 Speaker 1: real acceleration there. 300 00:14:55,800 --> 00:14:59,200 Speaker 4: Yeah, it's just been extraordinary here. So I guess my 301 00:14:59,280 --> 00:15:03,600 Speaker 4: takeaway is AIS like a thing, and it's impacting a 302 00:15:03,600 --> 00:15:04,960 Speaker 4: lot of companies. 303 00:15:04,840 --> 00:15:06,960 Speaker 3: And we're gonna be talking about it more and more 304 00:15:07,000 --> 00:15:07,280 Speaker 3: and more. 305 00:15:07,320 --> 00:15:08,640 Speaker 4: But I remember it just you know, a couple of 306 00:15:08,680 --> 00:15:12,360 Speaker 4: quarters ago, every company, yes and P five hundred talked about. 307 00:15:13,880 --> 00:15:15,800 Speaker 6: Great Kroger was one of them too. 308 00:15:16,120 --> 00:15:19,040 Speaker 4: Yeah, I mean mcconnald's Yeah, I don't know. Melissa Auto, 309 00:15:19,040 --> 00:15:21,160 Speaker 4: thank you so much for joining us. Melissa Auto. She's 310 00:15:21,160 --> 00:15:24,960 Speaker 4: out of TMT Research, SMP Global, Visible Alpha, joining us 311 00:15:24,960 --> 00:15:32,080 Speaker 4: here in our Bloomberg Interactive Brokers Studio. 312 00:15:32,920 --> 00:15:37,200 Speaker 2: This is the Bloomberg Surveillance Podcast. Listen live each weekday 313 00:15:37,320 --> 00:15:40,520 Speaker 2: starting at seven am Eastern on applecar Play and Android 314 00:15:40,560 --> 00:15:43,400 Speaker 2: Auto with the Bloomberg Business App. You can also listen 315 00:15:43,520 --> 00:15:46,600 Speaker 2: live on Amazon Alexa from our flagship New York station, 316 00:15:47,000 --> 00:15:49,720 Speaker 2: Just Say Alexa playing Bloomberg eleven thirty. 317 00:15:50,000 --> 00:15:51,000 Speaker 3: Jennifer Lee joins us. 318 00:15:51,280 --> 00:15:54,840 Speaker 4: She's a senior Congress She's a managing director at BMO 319 00:15:55,160 --> 00:15:58,640 Speaker 4: Capital Markets. Jennifer, as we think about twenty twenty five, 320 00:15:58,720 --> 00:15:59,040 Speaker 4: I'm not. 321 00:15:59,000 --> 00:16:01,200 Speaker 3: Even sure where tot. I mean, let's just start. 322 00:16:01,240 --> 00:16:05,680 Speaker 4: We've got a new administration coming in in the United States. Uh, 323 00:16:05,760 --> 00:16:07,920 Speaker 4: We've got a new Congress about to be seated in 324 00:16:07,960 --> 00:16:12,200 Speaker 4: the new year. What do you expect from again the 325 00:16:12,200 --> 00:16:14,680 Speaker 4: new sheriff in town. From an economic perspective, I don't 326 00:16:14,680 --> 00:16:18,440 Speaker 4: know if it's you know, tax policy, if it's if 327 00:16:18,440 --> 00:16:22,080 Speaker 4: it's you know, tariffs, if it's uh, you know, changes 328 00:16:22,080 --> 00:16:24,520 Speaker 4: in immigration policy. There's a lot of moving parts. How 329 00:16:24,560 --> 00:16:27,360 Speaker 4: does that impact your outlook for this US economy? 330 00:16:28,240 --> 00:16:30,600 Speaker 8: Well, good morning, Happy holidays to both, and thank you 331 00:16:30,640 --> 00:16:31,240 Speaker 8: very much for. 332 00:16:31,160 --> 00:16:31,680 Speaker 2: Having me on. 333 00:16:31,720 --> 00:16:34,560 Speaker 8: You know, this is a it's that key word uncertainty. 334 00:16:35,080 --> 00:16:38,920 Speaker 8: You know, expect the unexpected. There is so much unknowns 335 00:16:38,960 --> 00:16:41,680 Speaker 8: as we're heading into the new year with the new 336 00:16:41,960 --> 00:16:45,440 Speaker 8: Trump administration. He's already talked about what he plans to 337 00:16:45,480 --> 00:16:47,160 Speaker 8: do with everything that he wants to do on is 338 00:16:47,160 --> 00:16:49,400 Speaker 8: to do list. Whether or not he's going to be 339 00:16:49,440 --> 00:16:51,920 Speaker 8: checking them all off on day one, Uh, that will 340 00:16:51,960 --> 00:16:56,080 Speaker 8: be very interesting to see. But certainly tariffs are the 341 00:16:56,160 --> 00:16:58,800 Speaker 8: key uh, or is the key measure that he's planned 342 00:16:58,800 --> 00:17:01,280 Speaker 8: to play out to roll out. He's already talking about 343 00:17:01,400 --> 00:17:05,000 Speaker 8: the ten twenty percent blanket tariff on all three trillion 344 00:17:05,040 --> 00:17:08,080 Speaker 8: dollars worth of goods coming into the US, and that 345 00:17:08,119 --> 00:17:10,800 Speaker 8: will be already significant compared to what he did back 346 00:17:10,840 --> 00:17:13,399 Speaker 8: in twenty seventeen, which was, you know, targeted tariffs on 347 00:17:13,440 --> 00:17:15,280 Speaker 8: about three hundred billion dollars worth of good So this 348 00:17:15,320 --> 00:17:18,960 Speaker 8: is a bigger impact. And of course twenty five percent 349 00:17:19,080 --> 00:17:23,399 Speaker 8: tariffs on Canada and Mexico, an extra ten percent on China. 350 00:17:23,440 --> 00:17:25,000 Speaker 8: Maybe this is on top of the sixty percent, So 351 00:17:25,000 --> 00:17:26,480 Speaker 8: I'm not sure what the figure is going to be. 352 00:17:26,760 --> 00:17:29,080 Speaker 8: So there's a lot of unservedy I think heading into 353 00:17:30,240 --> 00:17:32,520 Speaker 8: into this new year. But terrorists is certainly or certainly 354 00:17:32,600 --> 00:17:38,440 Speaker 8: the key factor. Taxes corporate tax, targeted tax cuts, I think, 355 00:17:38,760 --> 00:17:41,920 Speaker 8: which would be great for corporate America, and of course 356 00:17:42,000 --> 00:17:45,560 Speaker 8: different tax relief measures for those who are you know, 357 00:17:45,640 --> 00:17:49,280 Speaker 8: are reading overtime, Social Security, and of course all those 358 00:17:49,280 --> 00:17:53,879 Speaker 8: other other issues like the biggest deportation effort ever in 359 00:17:53,960 --> 00:17:57,760 Speaker 8: the US, cleaning out all all the extra stuff that 360 00:17:57,800 --> 00:17:59,640 Speaker 8: you know doesn't need to be spent. That's where doage 361 00:17:59,680 --> 00:18:01,439 Speaker 8: comes in. And so a lot of things on his 362 00:18:01,560 --> 00:18:04,040 Speaker 8: to do list about how that is going to play 363 00:18:04,080 --> 00:18:06,240 Speaker 8: out remains to be seen, and I think this is 364 00:18:06,240 --> 00:18:08,240 Speaker 8: why we're expecting a lot of uncertainty as we start 365 00:18:08,240 --> 00:18:08,720 Speaker 8: the new year. 366 00:18:09,000 --> 00:18:11,879 Speaker 6: The latest estimate for the Atlanta Fed's GDP NOW model 367 00:18:11,920 --> 00:18:15,200 Speaker 6: for the current fourth quarter actually above three percent Paul. 368 00:18:15,320 --> 00:18:18,240 Speaker 6: And of course we were talking about earlier the economic 369 00:18:18,400 --> 00:18:20,840 Speaker 6: growth projections. If you look at the ECFC function and 370 00:18:20,880 --> 00:18:22,320 Speaker 6: the terminal that can pull it up for you on 371 00:18:22,359 --> 00:18:25,600 Speaker 6: a quarterly as well as an annual basis. So, Jennifer, 372 00:18:25,640 --> 00:18:28,960 Speaker 6: I'm curious because year after year, especially coming out of COVID, 373 00:18:29,240 --> 00:18:32,080 Speaker 6: there's so much doom and gloom even for the expectations 374 00:18:32,080 --> 00:18:34,720 Speaker 6: in twenty twenty three, twenty twenty four, that a lot 375 00:18:34,720 --> 00:18:36,800 Speaker 6: of economists ended up being on the wrong side of 376 00:18:36,840 --> 00:18:38,919 Speaker 6: that and getting it wrong. So what are people getting 377 00:18:38,920 --> 00:18:41,439 Speaker 6: wrong about next year? Because I feel like once we 378 00:18:41,480 --> 00:18:43,240 Speaker 6: wrap up a year and look ahead, we always have 379 00:18:43,320 --> 00:18:46,320 Speaker 6: these kind of anticipations that never quite come to fruition 380 00:18:46,400 --> 00:18:47,320 Speaker 6: when you look a year out. 381 00:18:48,600 --> 00:18:50,920 Speaker 8: That is true, and we have been, I think on 382 00:18:50,960 --> 00:18:53,840 Speaker 8: too low on our growth expectations. We were never in 383 00:18:53,840 --> 00:18:56,560 Speaker 8: the recession camp, thankfully, but we're you know, I think 384 00:18:56,560 --> 00:18:59,040 Speaker 8: everyone was always too low on their growth expectations. We've 385 00:18:59,040 --> 00:19:01,760 Speaker 8: got about two about two and a quarter percent, just 386 00:19:01,800 --> 00:19:03,880 Speaker 8: under two and a half percent penciled in for next year. 387 00:19:04,400 --> 00:19:08,040 Speaker 8: Where I think where the myths has been is certainly 388 00:19:08,040 --> 00:19:11,320 Speaker 8: from the US consumer. The US consumer continues to be 389 00:19:11,520 --> 00:19:15,280 Speaker 8: the big driving force of the the broader US economy. 390 00:19:15,359 --> 00:19:17,600 Speaker 8: That and of course over the past few years was 391 00:19:17,640 --> 00:19:20,840 Speaker 8: all the business investment and government spending as well. Helped 392 00:19:21,160 --> 00:19:23,919 Speaker 8: with the Chips Act in the IRA that's certainly helped 393 00:19:24,200 --> 00:19:27,119 Speaker 8: boost the economy of the US consumer continues to surprise, 394 00:19:27,600 --> 00:19:30,840 Speaker 8: and we should always say, never ever underestimate the US consumer. 395 00:19:31,000 --> 00:19:34,040 Speaker 8: Just the last November data for personal income and spending 396 00:19:34,080 --> 00:19:38,439 Speaker 8: showed continuing spending. It wasn't exactly super strong, but it 397 00:19:38,520 --> 00:19:40,679 Speaker 8: was still spent. They were still spending. And also in 398 00:19:40,680 --> 00:19:43,200 Speaker 8: those areas that if things are really tough, we wouldn't 399 00:19:43,240 --> 00:19:47,280 Speaker 8: be spending on, like regret, recreational goods and services, recreational 400 00:19:47,359 --> 00:19:50,560 Speaker 8: vehicles that area. There's a bit of a pullback on 401 00:19:50,720 --> 00:19:56,320 Speaker 8: dining out, hotel stays, but overall still decent, consumer spending, 402 00:19:56,680 --> 00:20:00,840 Speaker 8: still decent, consumer wages, savings great. So over four percent 403 00:20:00,920 --> 00:20:03,440 Speaker 8: is still pretty decent as well. So I think that's 404 00:20:03,480 --> 00:20:05,800 Speaker 8: where the mistake has been. So we'll have to see 405 00:20:05,800 --> 00:20:08,159 Speaker 8: how things go in the coming year, just given that 406 00:20:08,400 --> 00:20:11,040 Speaker 8: we are expecting inflation to take higher. 407 00:20:11,960 --> 00:20:14,679 Speaker 4: So the dollar just in this last three months is 408 00:20:14,760 --> 00:20:17,359 Speaker 4: up nearly seven percent. And for the tom Kings of 409 00:20:17,359 --> 00:20:19,200 Speaker 4: the world that like the you know, vacation over in 410 00:20:19,280 --> 00:20:22,959 Speaker 4: Rome or Parish or London, it's a good thing. What 411 00:20:23,000 --> 00:20:27,120 Speaker 4: do you make of this strong dollar, Jennifer, So the strong. 412 00:20:26,840 --> 00:20:29,840 Speaker 8: Dollar has been at the beginning, it was a function 413 00:20:29,960 --> 00:20:32,520 Speaker 8: I think of the stronger US E climbing like throughout 414 00:20:32,520 --> 00:20:34,920 Speaker 8: twenty twenty four. The mistake has I mean, I think 415 00:20:34,920 --> 00:20:38,000 Speaker 8: everyone has already underestimated the global growth as well. I 416 00:20:38,000 --> 00:20:41,000 Speaker 8: don't think there was one G seven country that had 417 00:20:41,119 --> 00:20:44,600 Speaker 8: back to back negative GDP reading, so nobody was in 418 00:20:44,640 --> 00:20:47,280 Speaker 8: an official recession. Things got revised a lot, which I 419 00:20:47,320 --> 00:20:49,600 Speaker 8: thought was very interesting. It's just on the data front. 420 00:20:49,840 --> 00:20:53,560 Speaker 8: But everyone ended up stronger, I think, than expected, especially 421 00:20:53,600 --> 00:20:56,120 Speaker 8: in the US, so a lot of that US dollar 422 00:20:56,200 --> 00:21:00,439 Speaker 8: strength was reflection of much stronger US strength relative to 423 00:21:00,480 --> 00:21:03,560 Speaker 8: everyone else. And now over the last few months it's 424 00:21:03,560 --> 00:21:06,520 Speaker 8: been a reflection of I guess at FED expectations, at 425 00:21:06,600 --> 00:21:09,119 Speaker 8: least over the last few weeks in particular, just given 426 00:21:09,160 --> 00:21:13,360 Speaker 8: how everyone's expecting the Fed to not cut as quickly 427 00:21:14,000 --> 00:21:18,720 Speaker 8: as originally had Anticipation is given again incoming Tearo's potential 428 00:21:18,760 --> 00:21:22,400 Speaker 8: income impact on inflation, and now with the last dot 429 00:21:22,440 --> 00:21:25,920 Speaker 8: plot showing only fifty bases points of rate cuts penciled in, which, 430 00:21:25,960 --> 00:21:27,080 Speaker 8: by the way, I think, let's sort of have to 431 00:21:27,119 --> 00:21:29,159 Speaker 8: take with a grain of salt, that's certainly put a 432 00:21:29,160 --> 00:21:32,360 Speaker 8: little little new fire underneath the green back, and that's 433 00:21:32,400 --> 00:21:35,240 Speaker 8: been very, very difficult to make calls good calls on 434 00:21:35,280 --> 00:21:37,840 Speaker 8: the currency market, just given all this volatility, So the 435 00:21:37,880 --> 00:21:41,080 Speaker 8: FED not cutting as quickly or as much everyone else 436 00:21:41,200 --> 00:21:44,640 Speaker 8: seeming to face slower growth as we're entering the new year, 437 00:21:44,720 --> 00:21:47,600 Speaker 8: and more rate cuts coming like from the ECB from 438 00:21:47,640 --> 00:21:49,560 Speaker 8: the Bank of England, maybe not the BAKE of Japan. 439 00:21:49,960 --> 00:21:53,040 Speaker 8: The RBA is probably going to start cutting rates in February. 440 00:21:53,480 --> 00:21:56,440 Speaker 8: That is going to also lower their weekend their currencies 441 00:21:56,480 --> 00:21:58,440 Speaker 8: and put more strengths underneath the US dollar. 442 00:21:58,960 --> 00:22:01,440 Speaker 6: I'm curious is the calendar flips to twenty twenty five. 443 00:22:01,720 --> 00:22:04,360 Speaker 6: The FED of course will have new voters. Who are 444 00:22:04,400 --> 00:22:06,920 Speaker 6: you keeping a close eye on for as we get 445 00:22:06,920 --> 00:22:10,880 Speaker 6: closer to what people are arguing debatably that neutral rate? 446 00:22:10,920 --> 00:22:12,480 Speaker 6: Who do you think is more of a close callum 447 00:22:12,520 --> 00:22:13,160 Speaker 6: to cents here? 448 00:22:14,240 --> 00:22:16,320 Speaker 8: Well, you know what I think. I think I'm going 449 00:22:16,400 --> 00:22:17,959 Speaker 8: to go back to just to see what i think. 450 00:22:18,000 --> 00:22:21,560 Speaker 8: Fedhair pal is going to be the key FED policy 451 00:22:21,600 --> 00:22:23,920 Speaker 8: maker of course, that makes the key decisions, and he's 452 00:22:23,960 --> 00:22:27,040 Speaker 8: whatever he says sort of reflects I think the broader consensus. 453 00:22:27,080 --> 00:22:28,520 Speaker 8: So I think it's just it's I'm going to keep 454 00:22:28,600 --> 00:22:30,480 Speaker 8: listening to what the FED chair says. I mean, everyone 455 00:22:30,480 --> 00:22:32,919 Speaker 8: else has their own opinion, everyone has their own dots, 456 00:22:33,119 --> 00:22:34,720 Speaker 8: but I think ultimately it's going to be up to 457 00:22:34,720 --> 00:22:36,640 Speaker 8: the FED chair to make that deciding factor. So I'm 458 00:22:36,640 --> 00:22:38,160 Speaker 8: just going to go straight to the boss and say 459 00:22:38,200 --> 00:22:39,119 Speaker 8: it's going to be a feed schair. 460 00:22:39,000 --> 00:22:41,960 Speaker 4: Pal, Jennifer, you're up there in Toronto. How are our 461 00:22:42,000 --> 00:22:45,280 Speaker 4: good friends in Canada thinking about this new administration? Maybe 462 00:22:45,320 --> 00:22:48,360 Speaker 4: some terroriffs because last I checked, we do a lot 463 00:22:48,359 --> 00:22:49,600 Speaker 4: of trading with you guys up there. 464 00:22:50,400 --> 00:22:53,080 Speaker 8: Yes, the US is our biggest trading partner, sending five 465 00:22:53,119 --> 00:22:57,080 Speaker 8: percent of our experts head down to the US. So obviously, 466 00:22:57,640 --> 00:22:59,960 Speaker 8: you know we are. We were already pretty nervous because 467 00:23:00,359 --> 00:23:03,960 Speaker 8: the us mcas up from renegotiation in May of twenty 468 00:23:04,000 --> 00:23:06,200 Speaker 8: twenty six, so we already knew that there is something 469 00:23:06,240 --> 00:23:08,360 Speaker 8: going on on that front. And now with the new 470 00:23:08,480 --> 00:23:12,399 Speaker 8: threats of a twenty five percent tariff on both of 471 00:23:12,440 --> 00:23:14,919 Speaker 8: the US's trading partners from that deal, from both Mexico 472 00:23:15,040 --> 00:23:18,119 Speaker 8: and Canada, obviously makes us very nervous. And we're going 473 00:23:18,200 --> 00:23:20,040 Speaker 8: to have to see if we are going to be 474 00:23:20,040 --> 00:23:24,080 Speaker 8: able to do some you know, decent negotiations that will hopefully, 475 00:23:24,800 --> 00:23:27,000 Speaker 8: you know, soften the blow and hopefully we won't see 476 00:23:27,040 --> 00:23:29,520 Speaker 8: this play out even if it's you know, it's also 477 00:23:29,520 --> 00:23:31,600 Speaker 8: going to depend on how long if he does do 478 00:23:31,720 --> 00:23:33,639 Speaker 8: what he threatens, which is the twenty five percent tariff 479 00:23:33,640 --> 00:23:36,760 Speaker 8: on Canadian imports, how long that's going to stick around 480 00:23:36,840 --> 00:23:38,639 Speaker 8: for and you know, hopefully it's not going to come 481 00:23:38,680 --> 00:23:41,280 Speaker 8: to fruition, but they will be very bad news for 482 00:23:41,320 --> 00:23:45,120 Speaker 8: a Canadian economy. But we've got about two percent penciled 483 00:23:45,119 --> 00:23:48,160 Speaker 8: in for Canadian GDP growth this year or for next 484 00:23:48,200 --> 00:23:52,040 Speaker 8: year at least. Ray kusters still have had a good impact, 485 00:23:52,280 --> 00:23:55,200 Speaker 8: but all that could be erased if we do see 486 00:23:55,320 --> 00:23:57,840 Speaker 8: a blanket twenty five percent tariff on all Canadian imports. 487 00:23:58,119 --> 00:23:59,960 Speaker 3: All right, we'll stay on top of that forever. 488 00:24:00,040 --> 00:24:00,159 Speaker 8: One. 489 00:24:00,240 --> 00:24:03,000 Speaker 4: Jennifer Lee, Senior e Commerce Managing Director at Pimo Capital Markets. 490 00:24:03,000 --> 00:24:04,480 Speaker 4: You appreciate getting some of your time. 491 00:24:09,080 --> 00:24:13,400 Speaker 2: This is the Bloomberg Surveillance Podcast. Listen live each weekday 492 00:24:13,480 --> 00:24:16,640 Speaker 2: starting at seven am Eastern on applecar Play and Android 493 00:24:16,680 --> 00:24:19,639 Speaker 2: Auto with the Bloomberg Business app. You can also watch 494 00:24:19,720 --> 00:24:22,960 Speaker 2: us live every weekday on YouTube and always on the 495 00:24:22,960 --> 00:24:24,000 Speaker 2: Bloomberg terminal. 496 00:24:24,760 --> 00:24:25,119 Speaker 3: I don't know. 497 00:24:25,200 --> 00:24:29,359 Speaker 4: Holiday shopping done. Feels like I spent about the same. 498 00:24:29,480 --> 00:24:31,720 Speaker 3: What do you think you did more or less the same? 499 00:24:31,880 --> 00:24:34,840 Speaker 6: I spent a lot on Black Friday and cyber money. 500 00:24:34,880 --> 00:24:38,040 Speaker 7: I'm not gonna lie. That's all right. I did all 501 00:24:38,119 --> 00:24:40,480 Speaker 7: the the damage. The damage was done. 502 00:24:40,640 --> 00:24:41,240 Speaker 3: The damage was. 503 00:24:41,240 --> 00:24:43,080 Speaker 4: Done, all right, let's see how this thing's kind of 504 00:24:43,119 --> 00:24:44,520 Speaker 4: shaping at here as we kind of get a little 505 00:24:44,520 --> 00:24:46,800 Speaker 4: bit of a look back here, Julievan Allen, Chief Revenue Officer. 506 00:24:46,880 --> 00:24:50,960 Speaker 4: Racketan joins us. Julie, here we are here on December 507 00:24:50,960 --> 00:24:53,840 Speaker 4: twenty seventh. Any early sense of hell kind of how 508 00:24:53,840 --> 00:24:59,120 Speaker 4: that holiday shopping kind of panned out in dollars cents? 509 00:25:00,040 --> 00:25:00,240 Speaker 8: Yeah? 510 00:25:00,280 --> 00:25:03,240 Speaker 9: Absolutely. First of all, thanks for having me again. This 511 00:25:03,359 --> 00:25:06,440 Speaker 9: was an interesting holiday. As the whole year has been, 512 00:25:06,600 --> 00:25:10,360 Speaker 9: it has been pivots after pivots looking at consumer behavior, 513 00:25:10,920 --> 00:25:14,639 Speaker 9: and what we saw this Cyber was the developing behavior. 514 00:25:14,520 --> 00:25:16,400 Speaker 10: Of a very uncertain consumer. 515 00:25:16,480 --> 00:25:21,000 Speaker 9: I will say we monitored daily shopping pre brought Black 516 00:25:21,040 --> 00:25:25,119 Speaker 9: Friday and throughout main cyber shopping days, and what we 517 00:25:25,200 --> 00:25:27,600 Speaker 9: saw a shoppers came out very early this year. 518 00:25:28,000 --> 00:25:30,720 Speaker 10: They were really looking for the deal and not the day. 519 00:25:31,680 --> 00:25:35,480 Speaker 9: But we had done some research with Harris Poll earlier 520 00:25:35,600 --> 00:25:38,680 Speaker 9: this year, and we knew that retailers were highly confident 521 00:25:38,680 --> 00:25:40,160 Speaker 9: that they were going to be able to drive all 522 00:25:40,200 --> 00:25:43,000 Speaker 9: of their sales during peak moments like Black Friday and 523 00:25:43,080 --> 00:25:47,080 Speaker 9: Cyber Monday. And I think unfortunately many of those retailers 524 00:25:47,080 --> 00:25:49,959 Speaker 9: who took that tact missed out on a lot of 525 00:25:49,960 --> 00:25:54,600 Speaker 9: this pull forward of early shopper demand in moments where 526 00:25:54,640 --> 00:25:57,320 Speaker 9: they feel uncertain and are really willing to pull the 527 00:25:57,320 --> 00:26:00,240 Speaker 9: trigger when they get enough of an incentive to buy, 528 00:26:01,400 --> 00:26:05,480 Speaker 9: And we also saw them buying with much more specific intent. 529 00:26:05,640 --> 00:26:08,399 Speaker 10: I heard you both say that either you shop. 530 00:26:08,200 --> 00:26:11,200 Speaker 9: The same or perhaps a little bit more on those 531 00:26:11,280 --> 00:26:15,119 Speaker 9: key days, and what we saw was something similar but 532 00:26:15,280 --> 00:26:19,639 Speaker 9: much less browsing. So consumers were very clear about what 533 00:26:19,720 --> 00:26:22,520 Speaker 9: they wanted to buy, and they came to the sites. 534 00:26:22,720 --> 00:26:26,000 Speaker 9: They purchased in a very purposeful way at a very 535 00:26:26,320 --> 00:26:30,240 Speaker 9: high average order value per trip, meaning that they were ready, 536 00:26:30,280 --> 00:26:32,679 Speaker 9: they knew what they wanted, and when they got that 537 00:26:32,760 --> 00:26:34,600 Speaker 9: incentive that they needed, they bought. 538 00:26:34,960 --> 00:26:37,280 Speaker 6: What were consumers buying more or less of. 539 00:26:39,520 --> 00:26:42,320 Speaker 9: That's actually one of the most interesting trends of this 540 00:26:42,440 --> 00:26:45,199 Speaker 9: year that's certainly new to me having been in this 541 00:26:45,240 --> 00:26:49,000 Speaker 9: space for a long time, where leading up to Black Friday, 542 00:26:49,040 --> 00:26:52,080 Speaker 9: we saw a trend that I started calling first me 543 00:26:52,240 --> 00:26:55,719 Speaker 9: than you, which was to say that consumers were buying 544 00:26:55,760 --> 00:26:59,639 Speaker 9: from very non traditional gift giving categories, think things like 545 00:27:00,200 --> 00:27:04,120 Speaker 9: pet care or personal banking. And as Black Friday hit 546 00:27:04,240 --> 00:27:08,760 Speaker 9: and we're monitoring trends. We continued to see that behavior happen, 547 00:27:09,119 --> 00:27:11,360 Speaker 9: and we kept waiting for it to shift to more 548 00:27:11,400 --> 00:27:15,520 Speaker 9: traditional gift giving, and fundamentally it just kind of didn't. 549 00:27:16,040 --> 00:27:21,160 Speaker 9: And it wasn't until after prime holiday shopping, after Cyber Monday, 550 00:27:21,200 --> 00:27:26,960 Speaker 9: really that the last minute shopping started to move back 551 00:27:27,000 --> 00:27:31,240 Speaker 9: toward normal gift giving categories like gift cars, toys and games, 552 00:27:31,280 --> 00:27:32,439 Speaker 9: sports and outdoors. 553 00:27:32,960 --> 00:27:35,040 Speaker 10: But really fascinating. 554 00:27:34,359 --> 00:27:38,080 Speaker 9: And I think continues that trend of an uncertain consumer 555 00:27:38,119 --> 00:27:41,399 Speaker 9: who's using moments that they know that they're going to 556 00:27:41,400 --> 00:27:44,240 Speaker 9: get the most value to shore up themselves and their 557 00:27:44,280 --> 00:27:47,439 Speaker 9: families before they started to think about gift giving. 558 00:27:48,280 --> 00:27:52,239 Speaker 4: Trulie, how promotional were the retailers this season? What did 559 00:27:52,240 --> 00:27:54,600 Speaker 4: they have to do to get people kind of in 560 00:27:54,680 --> 00:27:56,879 Speaker 4: the door or clicking that mouse. 561 00:27:58,720 --> 00:28:00,680 Speaker 9: They knew that it was going to be a season 562 00:28:00,880 --> 00:28:02,720 Speaker 9: of value seeking consumers. 563 00:28:02,760 --> 00:28:04,320 Speaker 10: It was no secret to anyone. 564 00:28:04,480 --> 00:28:08,119 Speaker 9: So it was very much a season of stacking and 565 00:28:08,240 --> 00:28:12,320 Speaker 9: using whatever lever brands could, whether that's their own in 566 00:28:12,440 --> 00:28:17,000 Speaker 9: house deals and promotions, whether that's things like free shipping 567 00:28:17,560 --> 00:28:20,520 Speaker 9: by online pickup in the store deals as we got 568 00:28:20,520 --> 00:28:25,080 Speaker 9: closer to holiday shipping cutoffs, and also of course other 569 00:28:25,160 --> 00:28:30,160 Speaker 9: levers that will drive permission to buy things like cash back, 570 00:28:30,680 --> 00:28:34,080 Speaker 9: especially for brands who maybe don't want to do as 571 00:28:34,160 --> 00:28:36,879 Speaker 9: much discounting. We saw a lot of that happening in 572 00:28:36,880 --> 00:28:40,280 Speaker 9: the luxury space in particular, but it was really whatever 573 00:28:40,440 --> 00:28:43,400 Speaker 9: lever a brand or retailer could use in order to 574 00:28:43,440 --> 00:28:46,640 Speaker 9: be competitive in a market where they knew that consumers 575 00:28:46,640 --> 00:28:48,960 Speaker 9: were going to be much more loyal to the deal 576 00:28:49,360 --> 00:28:52,000 Speaker 9: than to the brand, which is exactly what happened. 577 00:28:52,360 --> 00:28:55,640 Speaker 6: Now that we're past the Christmas holiday, what other promotions 578 00:28:55,680 --> 00:28:57,600 Speaker 6: could we see at the end of this year and 579 00:28:57,640 --> 00:28:58,600 Speaker 6: going into January. 580 00:29:00,680 --> 00:29:02,560 Speaker 9: Well, of course, at the end of the year, you're 581 00:29:02,600 --> 00:29:06,520 Speaker 9: always going to continue to see brands offering deals to 582 00:29:06,920 --> 00:29:11,040 Speaker 9: offload any gluts of inventory that they may have. We 583 00:29:11,160 --> 00:29:15,280 Speaker 9: had a lot of interesting shipping moments leading up to 584 00:29:16,000 --> 00:29:19,120 Speaker 9: Cyber Week this year, so you'll see those deals continue 585 00:29:19,120 --> 00:29:22,040 Speaker 9: through the end of the year for certain But what 586 00:29:22,080 --> 00:29:24,920 Speaker 9: I predict going into twenty twenty five is really that 587 00:29:25,040 --> 00:29:27,640 Speaker 9: we're going to continue to see this developing habit of 588 00:29:27,680 --> 00:29:31,880 Speaker 9: a very uncertain consumer and retailers trying to meet them 589 00:29:31,920 --> 00:29:35,520 Speaker 9: in that space, which means that the deals and incentives 590 00:29:35,560 --> 00:29:40,480 Speaker 9: can't stop. However, brands and retailers need to figure out 591 00:29:40,920 --> 00:29:43,560 Speaker 9: what works for them in order to give shoppers the 592 00:29:43,600 --> 00:29:46,840 Speaker 9: most bang for their book. And one of the interesting 593 00:29:46,880 --> 00:29:49,760 Speaker 9: trends we started to see even in Black Friday and 594 00:29:49,800 --> 00:29:53,760 Speaker 9: Cyber Monday is this very delicate dance between direct to 595 00:29:53,840 --> 00:30:00,000 Speaker 9: consumer brands and retailers. Where brands were offering in many 596 00:30:00,320 --> 00:30:03,920 Speaker 9: is higher cash back than the retailers who carry them 597 00:30:04,240 --> 00:30:07,160 Speaker 9: because that's a lever that they have. They have potentially 598 00:30:07,320 --> 00:30:10,560 Speaker 9: more margin on those products to offer to the value 599 00:30:10,560 --> 00:30:15,200 Speaker 9: seeking consumer, and the retailer has other levers, perhaps things 600 00:30:15,360 --> 00:30:18,840 Speaker 9: like free shipping that they have an ability to offer 601 00:30:18,880 --> 00:30:22,520 Speaker 9: with better infrastructure to consumers. So it's really going to 602 00:30:22,520 --> 00:30:24,960 Speaker 9: be this dance to meet the consumer where they are 603 00:30:25,280 --> 00:30:28,240 Speaker 9: as they continue to focus on things like everyday items 604 00:30:28,240 --> 00:30:29,000 Speaker 9: and essentials. 605 00:30:30,080 --> 00:30:34,080 Speaker 4: Julie the pandemic it seemed to bring forward by several 606 00:30:34,160 --> 00:30:37,960 Speaker 4: years the percentage of market share for e commerce versus 607 00:30:37,960 --> 00:30:41,360 Speaker 4: bricks and mortar, and e commerce really grew. Where's that 608 00:30:41,440 --> 00:30:43,920 Speaker 4: relationship now? E commerce versus brick, bricks and mortar For 609 00:30:44,000 --> 00:30:45,320 Speaker 4: most retailers. 610 00:30:46,240 --> 00:30:49,880 Speaker 10: E commerce did grow leaps and bounds. 611 00:30:49,920 --> 00:30:52,280 Speaker 9: We took what we saw about like a five year 612 00:30:52,360 --> 00:30:54,720 Speaker 9: leap into the future in terms of e commerce growth, 613 00:30:54,760 --> 00:30:58,880 Speaker 9: and it really does continue, but we are seeing a 614 00:30:58,960 --> 00:31:02,280 Speaker 9: dramatic increase this year in terms of in store behavior. 615 00:31:02,760 --> 00:31:05,800 Speaker 9: Racketon has ability to give cash back in store as well, 616 00:31:05,880 --> 00:31:10,200 Speaker 9: so we monitor these these trends, and that piece of 617 00:31:10,240 --> 00:31:12,760 Speaker 9: our business has been one of the most dramatic areas 618 00:31:12,840 --> 00:31:15,560 Speaker 9: of growth year over year, and I think we're going 619 00:31:15,600 --> 00:31:18,880 Speaker 9: to continue to see that into next year, especially with 620 00:31:18,960 --> 00:31:24,400 Speaker 9: that very highly coveted next generation gen Z shopper continuing 621 00:31:24,480 --> 00:31:28,080 Speaker 9: to grow and bring strength to the market. They prefer 622 00:31:28,320 --> 00:31:35,280 Speaker 9: a very tactile shopping experience, worried about quality and sustainability, 623 00:31:35,960 --> 00:31:37,960 Speaker 9: so I think that we're going to continue to see 624 00:31:38,000 --> 00:31:41,840 Speaker 9: that that trend move more toward brick and mortar next year. 625 00:31:42,240 --> 00:31:45,960 Speaker 9: But again that doesn't change the fact that this is 626 00:31:46,000 --> 00:31:50,719 Speaker 9: still a value seeking consumer, so in store retailers are 627 00:31:50,720 --> 00:31:53,440 Speaker 9: going to need to find those incentives to continue to 628 00:31:53,520 --> 00:31:55,080 Speaker 9: drive shopping in store. 629 00:31:55,320 --> 00:31:57,000 Speaker 4: All right, Julie, thank you so much for joining us. 630 00:31:57,080 --> 00:31:58,960 Speaker 4: I always appreciate getting a few minutes of your time. 631 00:31:59,040 --> 00:32:02,719 Speaker 4: Julie Van Allen, she's the chief revenue officer at Racketend. 632 00:32:03,320 --> 00:32:07,760 Speaker 2: This is the Bloomberg Surveillance podcast available on Apple Spotify, 633 00:32:07,920 --> 00:32:12,040 Speaker 2: and anywhere else you get your podcasts. Listen live each weekday, 634 00:32:12,120 --> 00:32:15,200 Speaker 2: seven to ten am Eastern on Bloomberg dot Com, the 635 00:32:15,320 --> 00:32:19,120 Speaker 2: iHeartRadio app, tune In, and the Bloomberg Business app. You 636 00:32:19,120 --> 00:32:22,440 Speaker 2: can also watch us live every weekday on YouTube and 637 00:32:22,600 --> 00:32:24,160 Speaker 2: always on the Bloomberg terminal