1 00:00:02,720 --> 00:00:07,200 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:07,880 --> 00:00:10,760 Speaker 2: This has been a busy stretch for Sam Potter, a 3 00:00:10,840 --> 00:00:13,520 Speaker 2: senior editor for Markets at Bloomberg, And it's like this 4 00:00:13,880 --> 00:00:16,600 Speaker 2: every year. Starting in mid November. 5 00:00:17,000 --> 00:00:19,560 Speaker 1: That's when the very earliest outlooks for the next year 6 00:00:19,640 --> 00:00:23,159 Speaker 1: start to arrive on my desk, coming through email. I 7 00:00:23,239 --> 00:00:26,799 Speaker 1: generally let a little pile build up til I'm ready 8 00:00:26,840 --> 00:00:27,640 Speaker 1: to tackle them. 9 00:00:27,760 --> 00:00:31,080 Speaker 2: Then Sam starts reading, looking for the big themes Wall 10 00:00:31,080 --> 00:00:35,200 Speaker 2: Street strategists and economists and portfolio managers expect will shape 11 00:00:35,240 --> 00:00:37,320 Speaker 2: the year ahead. It's a lot. 12 00:00:37,600 --> 00:00:40,559 Speaker 1: I mean, there are dozens and dozens of these things, 13 00:00:40,640 --> 00:00:42,760 Speaker 1: and many of them run to hundreds of pages. 14 00:00:43,159 --> 00:00:46,640 Speaker 2: For years now, Sam has boiled all that down, synthesizing 15 00:00:46,680 --> 00:00:49,120 Speaker 2: how some of the top names and finance are thinking 16 00:00:49,159 --> 00:00:52,680 Speaker 2: about the coming year. The end product is this amazing 17 00:00:52,760 --> 00:00:54,680 Speaker 2: tool you can find at Bloomberg dot com. 18 00:00:54,880 --> 00:00:57,400 Speaker 1: What I try and do is take the top line 19 00:00:57,480 --> 00:01:00,520 Speaker 1: calls and then we piece them all together in the 20 00:01:00,560 --> 00:01:03,279 Speaker 1: feature and we make it searchable. You know, you can 21 00:01:03,280 --> 00:01:07,120 Speaker 1: filter buy the financial institution, or by the topic, or 22 00:01:07,120 --> 00:01:10,800 Speaker 1: buy the asset, and it allows you to compare and 23 00:01:10,840 --> 00:01:12,400 Speaker 1: contrust all the different calls. 24 00:01:12,640 --> 00:01:16,240 Speaker 2: Sam identifies each firm's base case for the economy and 25 00:01:16,440 --> 00:01:19,000 Speaker 2: markets and what he's keeping an eye out for are 26 00:01:19,120 --> 00:01:20,520 Speaker 2: high conviction calls. 27 00:01:20,880 --> 00:01:24,600 Speaker 1: Lots of them are very much they sit on the fence. 28 00:01:24,760 --> 00:01:28,360 Speaker 1: They say, well, this could happen all that conviction. We're optimistic, 29 00:01:28,400 --> 00:01:32,280 Speaker 1: but they're at risk. Or you get these ones that 30 00:01:32,360 --> 00:01:35,440 Speaker 1: try and be creative and thematic, and they will say, 31 00:01:35,480 --> 00:01:39,000 Speaker 1: here are the top five trends that we think will 32 00:01:39,000 --> 00:01:42,679 Speaker 1: shape humanity in the year's ahead. They are ultimately their 33 00:01:42,760 --> 00:01:47,880 Speaker 1: marketing tools, but some of them can be super interesting, 34 00:01:48,200 --> 00:01:51,400 Speaker 1: either super bullish or super bearish. 35 00:01:51,920 --> 00:01:54,560 Speaker 2: It may not surprise you, given how twenty twenty five 36 00:01:54,640 --> 00:01:57,320 Speaker 2: shaped up, that the biggest theme for twenty twenty six 37 00:01:57,840 --> 00:01:59,120 Speaker 2: is artificial intelligence. 38 00:01:59,400 --> 00:02:01,280 Speaker 1: The thing it sort of leapt out of me in 39 00:02:01,320 --> 00:02:05,400 Speaker 1: this year's outlet was this idea that everyone on Wall Street, 40 00:02:05,480 --> 00:02:08,840 Speaker 1: or seemingly everyone in Wall Street, is bullish about AI. 41 00:02:09,600 --> 00:02:13,440 Speaker 1: They talk of it as a game changing, revolutionary technology, 42 00:02:14,000 --> 00:02:17,239 Speaker 1: but at the same time, the biggest risk that most 43 00:02:17,280 --> 00:02:23,440 Speaker 1: of them see is that the AI investment cycle is overhyped, 44 00:02:23,600 --> 00:02:26,359 Speaker 1: that we could be in a bubble and that things 45 00:02:26,520 --> 00:02:27,360 Speaker 1: could turn ugly. 46 00:02:27,600 --> 00:02:29,880 Speaker 2: And it wasn't lost on me as I talked to 47 00:02:29,919 --> 00:02:32,280 Speaker 2: Sam about all the work that went into this project, 48 00:02:32,840 --> 00:02:36,760 Speaker 2: that maybe AI, the technology that led markets to record highs, 49 00:02:37,320 --> 00:02:39,239 Speaker 2: could have made his job a lot easier. 50 00:02:39,440 --> 00:02:41,240 Speaker 1: Actually, in the end, I made a point of not 51 00:02:41,400 --> 00:02:43,960 Speaker 1: using AI for this. I used the same method that 52 00:02:44,040 --> 00:02:47,760 Speaker 1: I was using seven years ago, which means possibly I'm 53 00:02:47,760 --> 00:02:53,000 Speaker 1: inserting my own bias and misfunctioning brain instead of AIS. 54 00:02:53,160 --> 00:02:55,360 Speaker 1: But at least it's consistent over the years. 55 00:02:58,600 --> 00:03:00,959 Speaker 2: I'm David Gerat, and this is the take from Bloomberg 56 00:03:01,000 --> 00:03:05,000 Speaker 2: News today on the show, From AI to Geopolitical Risks 57 00:03:05,040 --> 00:03:08,360 Speaker 2: to Gold What Wall Street expects for twenty twenty six. 58 00:03:15,480 --> 00:03:17,799 Speaker 2: We're at this moment where more investors seem to be 59 00:03:17,880 --> 00:03:21,720 Speaker 2: questioning or thinking differently about AI's growth, in particular, how 60 00:03:21,760 --> 00:03:24,560 Speaker 2: much money is being poured into the infrastructure that power 61 00:03:24,600 --> 00:03:27,440 Speaker 2: is AI. How does Wall Street see that playing out 62 00:03:27,600 --> 00:03:28,480 Speaker 2: in twenty twenty six? 63 00:03:28,880 --> 00:03:34,000 Speaker 1: On balance, they lean on optimism here. Most of them 64 00:03:34,080 --> 00:03:38,640 Speaker 1: see the transformative power of AI changing the way we work, 65 00:03:38,800 --> 00:03:43,760 Speaker 1: changing the way we innovate, boosting productivity. They also look 66 00:03:43,800 --> 00:03:46,880 Speaker 1: at the expenditure and say, well, who's paying for all this? 67 00:03:47,040 --> 00:03:50,880 Speaker 1: And in many cases, these multi multi billion dollar deals 68 00:03:50,880 --> 00:03:54,560 Speaker 1: that we see hit the headlines. The company behind them 69 00:03:54,640 --> 00:03:58,240 Speaker 1: is one of the tech megacaps, you know, heavily cash rich. 70 00:03:58,880 --> 00:04:02,320 Speaker 1: They can afford to make this expenditure until they see 71 00:04:02,360 --> 00:04:06,840 Speaker 1: returns on it. And these tech megacaps, their earnings are 72 00:04:06,880 --> 00:04:10,000 Speaker 1: still super solid. It's not like the dot com where 73 00:04:10,800 --> 00:04:13,800 Speaker 1: the firms that were throwing out these huge deals didn't 74 00:04:13,800 --> 00:04:18,039 Speaker 1: really have earnings potential, were very concentrated. You know. The 75 00:04:18,120 --> 00:04:22,720 Speaker 1: Magnificent Seven are highly diversifized companies with massive earnings potential. 76 00:04:23,360 --> 00:04:25,839 Speaker 1: So a lot of Wall streak takes comfort from that, 77 00:04:26,240 --> 00:04:29,280 Speaker 1: and it sort of backs them into thinking that this 78 00:04:29,400 --> 00:04:32,400 Speaker 1: AI expansion is going to be sustainable for the near 79 00:04:32,440 --> 00:04:33,200 Speaker 1: future at least. 80 00:04:33,279 --> 00:04:36,640 Speaker 2: Are there any outliers of note, anyone who is calling 81 00:04:36,680 --> 00:04:37,520 Speaker 2: this a bubble? 82 00:04:38,040 --> 00:04:42,839 Speaker 1: Definitively, there's not an awful lot this year. There's not 83 00:04:42,880 --> 00:04:46,520 Speaker 1: an awful lot of kind of outlier that firms Vanguard 84 00:04:46,600 --> 00:04:51,120 Speaker 1: springs to mind. They're very cautious on the valuations currently 85 00:04:51,160 --> 00:04:55,400 Speaker 1: being quoted for the Magnificent Seven. They're worried about it. 86 00:04:56,040 --> 00:05:01,360 Speaker 1: But even there they say, we think that market's over concentrated. 87 00:05:01,440 --> 00:05:05,440 Speaker 1: We think these companies are potentially overvalued, but we don't 88 00:05:05,520 --> 00:05:08,680 Speaker 1: recommend you get out of AI investing instead, look for 89 00:05:08,720 --> 00:05:11,120 Speaker 1: the second order, so the company is the ones who 90 00:05:11,160 --> 00:05:14,360 Speaker 1: will benefit from AI, or look for the infrastructure investments 91 00:05:14,400 --> 00:05:16,120 Speaker 1: that are tied in with it. 92 00:05:18,080 --> 00:05:20,200 Speaker 2: Twenty twenty five was this year in which so much 93 00:05:20,200 --> 00:05:22,000 Speaker 2: focus was on in so many of the returns came 94 00:05:22,040 --> 00:05:24,479 Speaker 2: from just a handful of stocks. It's also true of 95 00:05:24,480 --> 00:05:26,800 Speaker 2: twenty twenty four. I should say, all the while, there's 96 00:05:26,839 --> 00:05:30,200 Speaker 2: been this conversation, this persistent conversation in the background about 97 00:05:30,200 --> 00:05:32,839 Speaker 2: whether this market is going to broaden out, the need 98 00:05:32,880 --> 00:05:35,960 Speaker 2: for it to broaden out. As these strategists look ahead 99 00:05:36,000 --> 00:05:37,919 Speaker 2: to twenty twenty six, is there any confidence that is 100 00:05:37,960 --> 00:05:38,560 Speaker 2: going to happen? 101 00:05:39,160 --> 00:05:43,240 Speaker 1: They certainly think so. A lot of the recommendations are 102 00:05:43,760 --> 00:05:46,679 Speaker 1: AI is not a bubble, or it's not yet a bubble, 103 00:05:47,080 --> 00:05:51,880 Speaker 1: but given the valuations and the market concentration surrounding the megacaps, 104 00:05:52,360 --> 00:05:56,040 Speaker 1: it may be time to diversify and bind. Diversify they 105 00:05:56,080 --> 00:05:59,320 Speaker 1: mean look for the sectors that are going to really 106 00:05:59,320 --> 00:06:04,400 Speaker 1: benefit from implementing AI. Look at where this expenditure is going, 107 00:06:04,440 --> 00:06:09,320 Speaker 1: so in infrastructure and data centers. So these outlooks are 108 00:06:09,360 --> 00:06:12,640 Speaker 1: telling us get ready for this market to broaden out. 109 00:06:12,920 --> 00:06:16,200 Speaker 1: But would just point out, this isn't the first year 110 00:06:16,279 --> 00:06:20,040 Speaker 1: we've heard that, and probably not the second year we've 111 00:06:20,040 --> 00:06:23,560 Speaker 1: heard that. Either. I was interested to write the summary 112 00:06:23,600 --> 00:06:26,839 Speaker 1: section for AI, and as I wrote it, I was 113 00:06:26,839 --> 00:06:29,520 Speaker 1: actually in the on the back end in the system 114 00:06:29,520 --> 00:06:31,720 Speaker 1: we use. I was deleting the old one from last year, 115 00:06:32,440 --> 00:06:34,880 Speaker 1: and the old one from last year was talking about 116 00:06:35,240 --> 00:06:38,159 Speaker 1: we expect the gains of AI to broaden out into 117 00:06:38,200 --> 00:06:41,719 Speaker 1: more sectors, and you look for the winners from AI. 118 00:06:42,640 --> 00:06:46,200 Speaker 1: So it seems like we're still waiting for that broadening 119 00:06:46,200 --> 00:06:50,240 Speaker 1: out and for those sectors to really adopt and apply it. 120 00:06:50,320 --> 00:06:53,040 Speaker 1: So a good question is whether in a year's time 121 00:06:53,120 --> 00:06:56,480 Speaker 1: we're going to be having a very similar conversation to this, 122 00:06:56,560 --> 00:06:57,039 Speaker 1: I suppose. 123 00:06:57,440 --> 00:07:01,240 Speaker 2: So what about other risk gas That's something stocks commodities. 124 00:07:01,680 --> 00:07:03,720 Speaker 2: Does Wallstreet expect they're going to continue to climb? 125 00:07:03,880 --> 00:07:08,520 Speaker 1: Yeah, mostly again off the back of the AI boom 126 00:07:08,640 --> 00:07:13,280 Speaker 1: and the frenzy around that. Plus we have very fiscally 127 00:07:13,320 --> 00:07:19,560 Speaker 1: loose governments. Plus we have central banks leaning towards easier 128 00:07:19,720 --> 00:07:24,320 Speaker 1: policy in most major geographies. All of these things are 129 00:07:24,360 --> 00:07:28,160 Speaker 1: seen as a tailwind for risk assets. So while no 130 00:07:28,200 --> 00:07:33,960 Speaker 1: one's predicting huge double digit returns this year, everyone seems 131 00:07:34,000 --> 00:07:36,840 Speaker 1: pretty confident that you're better off being invested than not. 132 00:07:36,960 --> 00:07:39,440 Speaker 2: Put in that way, I wanted to ask you about gold. 133 00:07:39,520 --> 00:07:42,800 Speaker 2: What do these outlooks say about the prospects for assets 134 00:07:42,800 --> 00:07:45,240 Speaker 2: that aren't risky, ones that are considered kind of more 135 00:07:45,280 --> 00:07:46,680 Speaker 2: haven or safer assets. 136 00:07:47,200 --> 00:07:50,840 Speaker 1: Yeah, there's some advice to look for new hedges. I 137 00:07:50,840 --> 00:07:54,640 Speaker 1: think one thing noted that given the situation where we've 138 00:07:54,640 --> 00:07:58,280 Speaker 1: potentially got short term boring rates coming down, but very 139 00:07:58,280 --> 00:08:02,200 Speaker 1: fiscally expansive program in government, that means the long end 140 00:08:02,720 --> 00:08:04,880 Speaker 1: yields are going to stay high, so a steeper curve. 141 00:08:05,600 --> 00:08:09,040 Speaker 1: What that can mean is that maybe bonds bonds will 142 00:08:09,040 --> 00:08:11,480 Speaker 1: provide you income, they're not necessarily going to act as 143 00:08:11,560 --> 00:08:15,520 Speaker 1: that hedge against equity risk. So there's talk about where 144 00:08:15,520 --> 00:08:19,560 Speaker 1: you find your hedges. Gold is still up. There seems 145 00:08:19,600 --> 00:08:21,960 Speaker 1: like not many firms want to predict the end of 146 00:08:22,440 --> 00:08:23,280 Speaker 1: gold's upswing. 147 00:08:25,440 --> 00:08:28,200 Speaker 2: We start twenty twenty six with the Federals are still 148 00:08:28,240 --> 00:08:31,000 Speaker 2: very much focused on inflation higher than it wants it 149 00:08:31,040 --> 00:08:34,840 Speaker 2: to be, also very clearly worried about future prospects of 150 00:08:34,840 --> 00:08:36,960 Speaker 2: the labor market. What did you learn say from these 151 00:08:37,000 --> 00:08:39,880 Speaker 2: outlooks about what Wall Street expects from the economy in 152 00:08:39,880 --> 00:08:40,680 Speaker 2: twenty twenty six. 153 00:08:41,080 --> 00:08:43,959 Speaker 1: Yes, so it's interesting. The FED is definitely a big 154 00:08:44,040 --> 00:08:49,160 Speaker 1: question because they are very much seen caught between slowly 155 00:08:49,280 --> 00:08:53,319 Speaker 1: declining but still very sticky inflation that's way above target 156 00:08:54,080 --> 00:08:57,920 Speaker 1: and a labor market that is sort of feeling the 157 00:08:57,960 --> 00:09:02,880 Speaker 1: pressures of rising costs of tariffs and the political pressure, 158 00:09:03,200 --> 00:09:06,960 Speaker 1: let's face it, from the Trump administration for lower rates, 159 00:09:06,960 --> 00:09:09,920 Speaker 1: and we also have the FED chair set to be 160 00:09:09,960 --> 00:09:12,680 Speaker 1: replaced a number of votes surrounding other members of the 161 00:09:12,720 --> 00:09:18,000 Speaker 1: Federal Reserve. On balance, mostly people expect the FED to 162 00:09:18,040 --> 00:09:21,280 Speaker 1: ease a little bit, but the stickiness of inflation will 163 00:09:21,360 --> 00:09:24,560 Speaker 1: mean they can't go quite as far as perhaps Trump 164 00:09:24,559 --> 00:09:28,920 Speaker 1: and the politics want. Economy wise, the various tailwinds mean 165 00:09:29,400 --> 00:09:32,679 Speaker 1: moderating growth, most of them saying growth is going to 166 00:09:32,760 --> 00:09:35,120 Speaker 1: be pretty much in line with the long term trend. 167 00:09:35,520 --> 00:09:39,120 Speaker 2: Another big theme in twenty twenty five was private markets, 168 00:09:39,160 --> 00:09:41,680 Speaker 2: private credit, and a couple of bankruptcies in that space 169 00:09:41,720 --> 00:09:45,280 Speaker 2: that really raised worries that an economic downturn could maybe 170 00:09:45,320 --> 00:09:49,120 Speaker 2: expose troubled companies. We had JP Morgan Chase CEO Jamie 171 00:09:49,160 --> 00:09:52,319 Speaker 2: Diamond now famously warning that when you see a cockroach, 172 00:09:52,600 --> 00:09:54,720 Speaker 2: there are probably more that could emerge in the space. 173 00:09:55,440 --> 00:09:57,680 Speaker 2: I'm curious how much ink was spilled about that in 174 00:09:57,720 --> 00:10:00,920 Speaker 2: these outlooks, kind of raising concerned raising quests, thinking about 175 00:10:00,960 --> 00:10:03,480 Speaker 2: sort of the way that private markets are going to 176 00:10:03,480 --> 00:10:05,560 Speaker 2: play a role, a continued role in the economy in 177 00:10:05,600 --> 00:10:06,440 Speaker 2: twenty twenty six. 178 00:10:07,000 --> 00:10:09,920 Speaker 1: Yeah, a lot of them tackle that pretty much head on. 179 00:10:10,920 --> 00:10:15,320 Speaker 1: They see the various you know, the cockroaches. It's pretty 180 00:10:15,400 --> 00:10:18,400 Speaker 1: much contained, to be honest, there's a lot of positivity 181 00:10:18,679 --> 00:10:23,800 Speaker 1: around private market still, private equity and credit, various credit structures. 182 00:10:24,480 --> 00:10:28,559 Speaker 1: I think their argument is that it's a good diversifier, 183 00:10:28,840 --> 00:10:34,560 Speaker 1: that their returns are potentially good, that mostly companies corporations 184 00:10:34,559 --> 00:10:38,160 Speaker 1: are in pretty rude health. It does bear saying, though 185 00:10:38,200 --> 00:10:41,600 Speaker 1: that most of them say, private markets look good, but 186 00:10:41,760 --> 00:10:44,160 Speaker 1: what you need is expertise to guide you through it, 187 00:10:44,440 --> 00:10:46,760 Speaker 1: and we're the ones to give you that expertise. So 188 00:10:46,880 --> 00:10:51,319 Speaker 1: I'm always well aware that the more complicated or obscure 189 00:10:51,880 --> 00:10:54,800 Speaker 1: or hard to invest in the market, the more money 190 00:10:54,800 --> 00:10:59,000 Speaker 1: that Wall Street can make from helping you invest in it. So, yeah, 191 00:10:59,040 --> 00:11:01,840 Speaker 1: a lot of talk about private markets. They think that 192 00:11:01,920 --> 00:11:04,360 Speaker 1: bandwagon has got some distance to go. 193 00:11:04,320 --> 00:11:10,440 Speaker 2: Yet coming up, How accurate were last year's calls and 194 00:11:10,480 --> 00:11:12,520 Speaker 2: what does that say about how we should look at 195 00:11:12,520 --> 00:11:25,600 Speaker 2: this year's Bloomberg. Sam Potter has done this analysis of 196 00:11:25,640 --> 00:11:28,120 Speaker 2: Wall Street outlooks for seven years in a row now, 197 00:11:28,720 --> 00:11:31,640 Speaker 2: and while he looks ahead, Sam also takes stock of 198 00:11:31,679 --> 00:11:34,840 Speaker 2: how accurate the preceding years outlooks were. So I asked 199 00:11:34,880 --> 00:11:37,840 Speaker 2: him how often Wall Street's predictions pan out? 200 00:11:38,080 --> 00:11:41,760 Speaker 1: That's so hard to answer because so often they couch 201 00:11:42,040 --> 00:11:44,839 Speaker 1: everything and this could happen, this may happen. This is 202 00:11:44,880 --> 00:11:49,040 Speaker 1: what we're worried about. I think if you're in our business, 203 00:11:49,080 --> 00:11:52,600 Speaker 1: if you're in the financial business, what you're probably dealing 204 00:11:52,640 --> 00:11:57,520 Speaker 1: in as much as anything else's ideas, ideas and possibility, 205 00:11:58,280 --> 00:12:01,360 Speaker 1: and oftentimes the audience to these things are going to 206 00:12:01,360 --> 00:12:03,000 Speaker 1: be making their own mind up as well. They're going 207 00:12:03,000 --> 00:12:06,679 Speaker 1: to be experienced professionals, They're going to have their own expertise. 208 00:12:07,120 --> 00:12:09,920 Speaker 1: When I look through them, I'm looking for something, anything 209 00:12:09,960 --> 00:12:13,120 Speaker 1: that jumps out as unique or sticks out about a 210 00:12:13,160 --> 00:12:16,440 Speaker 1: year ahead. And also the common themes when we see 211 00:12:17,360 --> 00:12:20,520 Speaker 1: dozens of reports saying we don't think AI is a 212 00:12:20,520 --> 00:12:24,920 Speaker 1: bubble that lends you some maybe confidence, I don't know, 213 00:12:24,960 --> 00:12:27,560 Speaker 1: maybe we should be worried everyone thinks it's not a bubble. 214 00:12:27,640 --> 00:12:29,920 Speaker 1: Maybe that's the contrarian warning sign. 215 00:12:30,920 --> 00:12:34,400 Speaker 2: Sam says. One of last year's most prescient calls also 216 00:12:34,480 --> 00:12:35,800 Speaker 2: involved breaking from the pack. 217 00:12:36,160 --> 00:12:40,480 Speaker 1: We saw that actually in twenty twenty five. One that 218 00:12:40,559 --> 00:12:46,600 Speaker 1: stood out last year BCA were extremely bearish on tariffs, 219 00:12:47,160 --> 00:12:52,520 Speaker 1: and they basically in their outlook said, everyone's underestimating Trump 220 00:12:52,520 --> 00:12:54,439 Speaker 1: and what he wants to do with tariffs. It's going 221 00:12:54,440 --> 00:12:56,000 Speaker 1: to be ugly. This is what we think is going 222 00:12:56,000 --> 00:12:59,800 Speaker 1: to happen. And of course come April they were pretty 223 00:12:59,840 --> 00:13:00,440 Speaker 1: much spot on. 224 00:13:01,080 --> 00:13:03,000 Speaker 2: Sam, You've been through this cycle a few times now, 225 00:13:03,040 --> 00:13:04,960 Speaker 2: and every year you start with a stack of calls 226 00:13:04,960 --> 00:13:08,320 Speaker 2: that may look totally reasonable. What sort of things tend 227 00:13:08,320 --> 00:13:10,000 Speaker 2: to upbend them? What are the X factors? 228 00:13:10,360 --> 00:13:13,480 Speaker 1: Geopolitics is always the one that they worry most about 229 00:13:13,559 --> 00:13:17,920 Speaker 1: because it's the hardest to foresee, particularly with Trump administration, 230 00:13:18,360 --> 00:13:21,480 Speaker 1: and he's a fairly unpredictable guy. In fact, at one 231 00:13:21,520 --> 00:13:24,360 Speaker 1: point that was seen as a deliberate policy that he 232 00:13:24,800 --> 00:13:29,960 Speaker 1: would sort of surprise people. But the shocks, Yeah, I 233 00:13:30,000 --> 00:13:33,480 Speaker 1: think it's not so much shocks they're worried about this 234 00:13:33,640 --> 00:13:40,560 Speaker 1: year as any major shift in trend. So AI maybe 235 00:13:40,559 --> 00:13:42,760 Speaker 1: it's a bubble. Maybe it isn't a bubble. Even if 236 00:13:42,760 --> 00:13:45,760 Speaker 1: it's not a bubble, if confidence starts to weigh in AI, 237 00:13:46,000 --> 00:13:48,560 Speaker 1: then it would be it would be like the tanker turning, 238 00:13:48,600 --> 00:13:52,160 Speaker 1: you know, it'd be a big mega trend turning and 239 00:13:52,320 --> 00:13:56,320 Speaker 1: in credit and private credit and private markets. If they're 240 00:13:56,360 --> 00:13:59,880 Speaker 1: wrong and there are more cock croaches than they think, 241 00:14:00,240 --> 00:14:02,040 Speaker 1: it could bring to an end a sort of long 242 00:14:02,120 --> 00:14:06,640 Speaker 1: term trend. If Trump does do something unexpected and there 243 00:14:06,720 --> 00:14:10,720 Speaker 1: is more trade friction and inflation actually starts to increase, 244 00:14:11,200 --> 00:14:15,240 Speaker 1: a big inflation shock is actually probably that's one of 245 00:14:15,280 --> 00:14:18,800 Speaker 1: the biggest potential tail risks that people say. You know, 246 00:14:18,880 --> 00:14:21,960 Speaker 1: that's the fat tale. If inflation goes the wrong way, 247 00:14:21,960 --> 00:14:26,800 Speaker 1: then it throws so much other stuff, fiscal monetary out 248 00:14:26,800 --> 00:14:27,440 Speaker 1: of the window. 249 00:14:27,840 --> 00:14:30,960 Speaker 2: We've talked about AI, We've talked about the megacaps, talked 250 00:14:30,960 --> 00:14:34,880 Speaker 2: about this narrow market. When you compare the outlooks for 251 00:14:34,920 --> 00:14:37,600 Speaker 2: twenty twenty six the outlooks for twenty twenty five, how 252 00:14:37,680 --> 00:14:40,160 Speaker 2: much do they have in common? How similar are they 253 00:14:40,360 --> 00:14:41,680 Speaker 2: this year to what we saw last year? 254 00:14:42,200 --> 00:14:45,840 Speaker 1: Thematically? Yeah, last year, I remember leading the story part 255 00:14:45,880 --> 00:14:49,040 Speaker 1: of the feature with Trump because he had just been 256 00:14:49,080 --> 00:14:54,440 Speaker 1: re elected, he was set to take office, and that 257 00:14:54,440 --> 00:14:58,720 Speaker 1: that kind of overhung everything. Obviously, that's much more if 258 00:14:58,760 --> 00:15:00,720 Speaker 1: you can ever call Trump and I'm quantity, but it 259 00:15:00,760 --> 00:15:03,480 Speaker 1: is much more of a known quantity. Now the tariff 260 00:15:03,480 --> 00:15:08,680 Speaker 1: situation is seen as stable, if not settled, So we've 261 00:15:08,680 --> 00:15:10,760 Speaker 1: been able to move on from last year, move on 262 00:15:10,840 --> 00:15:13,280 Speaker 1: a little bit from Trump. I think people also look 263 00:15:13,320 --> 00:15:15,600 Speaker 1: ahead and see the midterms and think that that might 264 00:15:15,720 --> 00:15:21,880 Speaker 1: restrain Trump's excesses a little bit. But there remain some 265 00:15:22,160 --> 00:15:23,280 Speaker 1: big similarities. 266 00:15:25,760 --> 00:15:28,000 Speaker 2: Before I let him go, I ask Sam how he 267 00:15:28,000 --> 00:15:31,479 Speaker 2: helps people in the industry. Readers and the generally curious 268 00:15:31,640 --> 00:15:32,560 Speaker 2: will use his tool. 269 00:15:32,920 --> 00:15:38,400 Speaker 1: So I think that such as the volume of stuff 270 00:15:38,400 --> 00:15:42,000 Speaker 1: that Wall Street produces for the year ahead and so 271 00:15:42,280 --> 00:15:46,600 Speaker 1: sort of disparate, I don't think people have the time 272 00:15:47,240 --> 00:15:50,360 Speaker 1: or necessarily the easy access to read it or to 273 00:15:50,440 --> 00:15:53,560 Speaker 1: consume it, or I hope what I do, if nothing else, 274 00:15:54,200 --> 00:15:58,840 Speaker 1: is give them a tool that aggregates and allows them 275 00:15:58,880 --> 00:16:01,520 Speaker 1: to compare and control, and it allows them to sort 276 00:16:01,520 --> 00:16:04,480 Speaker 1: of fix their place in the Wall Street universe, their 277 00:16:04,520 --> 00:16:09,320 Speaker 1: firm standing alongside others. I'd also hope that if I 278 00:16:09,400 --> 00:16:11,400 Speaker 1: was in the industry, I'd want to be checking it 279 00:16:11,480 --> 00:16:14,400 Speaker 1: and make sure that I wasn't accidentally in a huge 280 00:16:14,400 --> 00:16:20,320 Speaker 1: outlier position with all my money on betting against AI 281 00:16:20,520 --> 00:16:23,120 Speaker 1: or something when everyone else on Wall Street feels differently. 282 00:16:27,680 --> 00:16:30,080 Speaker 2: This is the Big Take from Bloomberg News. I'm David Gura. 283 00:16:30,320 --> 00:16:33,200 Speaker 2: The show is hosted by me Wanha and Sarah Holder. 284 00:16:33,640 --> 00:16:36,480 Speaker 2: The show is made by Aaron Edwards, David Fox, Eleanor 285 00:16:36,520 --> 00:16:40,680 Speaker 2: Harrison Dengate, Patty Hirsch, Rachel Lewis, Krisky, Naomi, Julia Press, 286 00:16:40,800 --> 00:16:44,880 Speaker 2: Tracy Samuelson, Naomi Shaven, Alex Cura, Julia Weaver, Young Young, 287 00:16:45,160 --> 00:16:47,720 Speaker 2: and Takei Yasuzawa. To get more from the Big Take 288 00:16:47,760 --> 00:16:50,920 Speaker 2: and unlimited access to all of Bloomberg dot Com, subscribe 289 00:16:50,920 --> 00:16:54,960 Speaker 2: today at Bloomberg dot com Slash Podcast Offer. Thanks for listening. 290 00:16:55,080 --> 00:16:56,120 Speaker 2: We'll be back on Monday.