1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg Penl Podcast. I'm Paul Swinge. You, 2 00:00:05,360 --> 00:00:07,680 Speaker 1: along with my co host Lisa Brahma wits each day 3 00:00:07,720 --> 00:00:10,240 Speaker 1: we bring you the most noteworthy and useful interviews for 4 00:00:10,280 --> 00:00:12,520 Speaker 1: you and your money. Whether at the grocery store or 5 00:00:12,560 --> 00:00:15,480 Speaker 1: the trading floor. Find a Bloomberg Penl podcast on Apple 6 00:00:15,520 --> 00:00:17,959 Speaker 1: podcast or wherever you listen to podcasts, as well as 7 00:00:17,960 --> 00:00:23,120 Speaker 1: at Bloomberg dot com. Let's get a little bit more 8 00:00:23,120 --> 00:00:26,200 Speaker 1: insight into the company Slack, and we do that we 9 00:00:26,280 --> 00:00:28,560 Speaker 1: bring in Man Deep. Seeing. Man Deep is senior tech 10 00:00:28,600 --> 00:00:31,960 Speaker 1: industry annalys for Bloomberg Intelligence. So we've talked a lot 11 00:00:32,040 --> 00:00:35,080 Speaker 1: Man Deep about the actual process of a direct listing, 12 00:00:35,159 --> 00:00:37,320 Speaker 1: but I wonder if you can just give us a 13 00:00:37,320 --> 00:00:39,720 Speaker 1: sense of what this company is really all about and 14 00:00:39,800 --> 00:00:42,200 Speaker 1: why investors are, you know, kind of I think pretty 15 00:00:42,240 --> 00:00:45,240 Speaker 1: interested in this in this new offering here. Sure. So, 16 00:00:45,600 --> 00:00:47,760 Speaker 1: Slack is a company that was born on the cloud 17 00:00:47,800 --> 00:00:51,680 Speaker 1: and it's writing this trend of mobility and shift to cloud. 18 00:00:51,960 --> 00:00:55,040 Speaker 1: When you think about their technology stack, you're really re 19 00:00:55,240 --> 00:00:59,320 Speaker 1: platforming from on premise environments to a cloud based environment. 20 00:00:59,600 --> 00:01:03,080 Speaker 1: And Black is a single product company. What it does 21 00:01:03,200 --> 00:01:07,559 Speaker 1: is real time messaging platform zoom IF, which went public 22 00:01:07,640 --> 00:01:11,200 Speaker 1: before Slack, it does you know, real time video communications. 23 00:01:11,200 --> 00:01:13,840 Speaker 1: So I feel like there is a lot of fragmentation 24 00:01:13,920 --> 00:01:16,559 Speaker 1: on the cloud now and what you're seeing is single 25 00:01:16,640 --> 00:01:20,200 Speaker 1: product companies doing very well because cloud, remember is a 26 00:01:20,280 --> 00:01:24,440 Speaker 1: recurring subscription model, so you have tons of visibilities. Once 27 00:01:24,520 --> 00:01:27,560 Speaker 1: you have a customer, it's very sticky, and I think 28 00:01:27,640 --> 00:01:30,280 Speaker 1: that's why these companies are getting a lot of premium 29 00:01:30,319 --> 00:01:33,000 Speaker 1: because there is growth, There is good growth, there is 30 00:01:33,040 --> 00:01:35,760 Speaker 1: predictable growth. But at the end of the day, I 31 00:01:35,800 --> 00:01:38,600 Speaker 1: think they're going to run against some Microsoft or a Google, 32 00:01:38,920 --> 00:01:41,640 Speaker 1: and that's where you're you're gonna say, Okay, how how 33 00:01:41,680 --> 00:01:43,840 Speaker 1: much RAM does this company have? And I feel like 34 00:01:44,160 --> 00:01:46,200 Speaker 1: they haven't hit that point yet, but it will be 35 00:01:46,319 --> 00:01:48,960 Speaker 1: very soon. I should note that Bloomberg Beta, the venture 36 00:01:49,000 --> 00:01:51,840 Speaker 1: capital arm of Bloomberg LP, is an investor in Slack, 37 00:01:52,080 --> 00:01:53,520 Speaker 1: So it kind of brings up one of the questions, 38 00:01:53,520 --> 00:01:56,400 Speaker 1: you know it it seems like a business that very 39 00:01:56,440 --> 00:01:59,360 Speaker 1: relatively early stages that is slack of their growth profile. 40 00:01:59,680 --> 00:02:01,760 Speaker 1: But we've seen in the past or somebod these you know, 41 00:02:01,760 --> 00:02:07,160 Speaker 1: cool technologies really hit that Microsoft Software or or Google 42 00:02:07,280 --> 00:02:08,720 Speaker 1: or an amaza. I can just come in and buy 43 00:02:08,760 --> 00:02:11,480 Speaker 1: them up. And do you think that's a reasonable scenario 44 00:02:11,560 --> 00:02:13,920 Speaker 1: here for a company like Slack. Sure, So that's a 45 00:02:13,960 --> 00:02:17,080 Speaker 1: great point. We've seen that beginning to happen now with 46 00:02:17,200 --> 00:02:22,120 Speaker 1: Salesforce buying Tableau. What it tells you is the cloud. 47 00:02:22,200 --> 00:02:26,280 Speaker 1: The large cloud companies like Salesforce, like Microsoft, even you 48 00:02:26,320 --> 00:02:28,480 Speaker 1: know you can put Service Now in the same bucket, 49 00:02:29,000 --> 00:02:33,399 Speaker 1: are looking for acquisitions because as a company, you don't 50 00:02:33,400 --> 00:02:36,200 Speaker 1: want to deal with fifty different vendors. If I have 51 00:02:36,280 --> 00:02:39,280 Speaker 1: a point product from Slack, point product from Atlastian, point 52 00:02:39,280 --> 00:02:41,840 Speaker 1: product from drop Box, that's not going to help me, 53 00:02:41,880 --> 00:02:45,239 Speaker 1: you know, manage my enterprise systems any easier on the cloud. Yes, 54 00:02:45,280 --> 00:02:49,200 Speaker 1: cloud is a better model with you know, subscriptions on demand. 55 00:02:49,639 --> 00:02:51,320 Speaker 1: But at the end of the day, you want to 56 00:02:51,360 --> 00:02:55,880 Speaker 1: see vendor consolidation. And I think with Slack, their revenue 57 00:02:56,160 --> 00:03:00,120 Speaker 1: is very growth is very strong, it's recurring. But at 58 00:03:00,120 --> 00:03:02,000 Speaker 1: the end of the day, how many customers can they 59 00:03:02,040 --> 00:03:04,400 Speaker 1: add for that single product, And that's a question that 60 00:03:04,440 --> 00:03:06,840 Speaker 1: investors want to know. Well about a month or so, 61 00:03:07,040 --> 00:03:08,919 Speaker 1: it seemed like we were talking to you a lot 62 00:03:09,040 --> 00:03:12,880 Speaker 1: about uber Um and Lift and one of the problems 63 00:03:12,919 --> 00:03:16,640 Speaker 1: was I from an investors perspective is they weren't profitable 64 00:03:16,639 --> 00:03:20,600 Speaker 1: and the path of profitability was very unclear. Is Slack profitable, No, 65 00:03:20,800 --> 00:03:23,600 Speaker 1: it's not. In fact, they spend a ton of money 66 00:03:23,800 --> 00:03:28,239 Speaker 1: on customer acquisition costs that the sales and marketing expenses 67 00:03:28,240 --> 00:03:32,240 Speaker 1: are really high. They have operating margins of negative negative 68 00:03:32,280 --> 00:03:35,520 Speaker 1: free casual margins. The good thing with Slack compared to 69 00:03:35,600 --> 00:03:38,840 Speaker 1: the right sharing guys you alluded to, is that they 70 00:03:38,880 --> 00:03:43,600 Speaker 1: have higher gross margins. Slack has typical you know, plus 71 00:03:43,640 --> 00:03:47,160 Speaker 1: gross margins. That's typical for any software company. And so 72 00:03:47,440 --> 00:03:49,680 Speaker 1: the only level they need to pull this to lower 73 00:03:49,720 --> 00:03:52,440 Speaker 1: their sales and marketing expenses and that way they can 74 00:03:52,480 --> 00:03:55,680 Speaker 1: be operating margin positive. The risk is if they do that, 75 00:03:56,040 --> 00:03:58,200 Speaker 1: then you know they're not going to acquire customers at 76 00:03:58,200 --> 00:04:01,240 Speaker 1: the same pace and that's the key to driving revenue growth. Interesting, 77 00:04:01,360 --> 00:04:04,120 Speaker 1: is this a global stories? Is a u S domestic? 78 00:04:04,400 --> 00:04:07,320 Speaker 1: So they have exposure in Europe. For most of the 79 00:04:07,360 --> 00:04:10,800 Speaker 1: software companies, especially the cloud ones, they are America and 80 00:04:10,800 --> 00:04:14,400 Speaker 1: Europe centric. They have very little exposure to China, and 81 00:04:14,480 --> 00:04:16,760 Speaker 1: so in this case they are thirty percent of their 82 00:04:16,800 --> 00:04:20,120 Speaker 1: revenue comes from Europe. Interesting, so it's we'll have to 83 00:04:20,160 --> 00:04:22,240 Speaker 1: take a look, Mandy, if you're gonna stay with us. 84 00:04:22,279 --> 00:04:24,559 Speaker 1: So we're gonna see how this stock opens that hasn't 85 00:04:24,560 --> 00:04:28,560 Speaker 1: open yet in the marketplace, um, but expected sometime later 86 00:04:28,600 --> 00:04:31,080 Speaker 1: this afternoon. UM. So we'll have to see other place 87 00:04:31,120 --> 00:04:33,839 Speaker 1: coming up. Of course, we have Emily Chang of Bloomberg Television. 88 00:04:33,880 --> 00:04:37,680 Speaker 1: She's sitting down with Slack CEO Stewart Butterfield and the 89 00:04:37,720 --> 00:04:40,560 Speaker 1: CFO Alan Shim at the New York Stock Exchange to 90 00:04:40,640 --> 00:04:43,760 Speaker 1: talk about this new offering, to talk about the future 91 00:04:44,320 --> 00:04:47,000 Speaker 1: of the company. So that'll be coming up in just moments. 92 00:04:47,240 --> 00:04:51,080 Speaker 1: But but clearly and highly anticipated transaction. Not only is 93 00:04:51,120 --> 00:04:54,040 Speaker 1: it a you know, a well known technology company, high growth, 94 00:04:54,120 --> 00:04:58,320 Speaker 1: lots of investor interest, but it's also direct listing way 95 00:04:58,440 --> 00:05:00,520 Speaker 1: of issuing shares to the public and is not an 96 00:05:00,520 --> 00:05:02,640 Speaker 1: I p O. It is a direct listing where your 97 00:05:02,640 --> 00:05:07,400 Speaker 1: secondary shareholders are offering shares in the public marketplace. Uh. 98 00:05:07,440 --> 00:05:09,800 Speaker 1: And buyers are being lined up and they're trying to 99 00:05:09,839 --> 00:05:13,200 Speaker 1: figure out the right price which they can open this stock. 100 00:05:13,279 --> 00:05:15,480 Speaker 1: So we will see that coming right now. Let's go 101 00:05:15,560 --> 00:05:18,159 Speaker 1: to Emily Chang of Bloomberg Television. Welcome to our Bloomberg 102 00:05:18,200 --> 00:05:22,120 Speaker 1: TV and radio audiences. After bumper crop of I p 103 00:05:22,200 --> 00:05:26,400 Speaker 1: O s either languishing or wildly exceeding expectations, Slack is 104 00:05:26,440 --> 00:05:28,960 Speaker 1: taking a route to the trading fuller, it hopes will 105 00:05:29,000 --> 00:05:32,960 Speaker 1: provide a much more well boring outcome a direct listing. 106 00:05:33,240 --> 00:05:34,800 Speaker 1: As we wait for the stock to start trading on 107 00:05:34,839 --> 00:05:36,640 Speaker 1: the New York Stock Exchange, I am joined from the 108 00:05:36,640 --> 00:05:39,800 Speaker 1: trading floor by the company's co founder and CEO Stewart Butterfield, 109 00:05:40,080 --> 00:05:43,600 Speaker 1: and CFO Alan Shim. Gentlemen, thank you for joining us. 110 00:05:43,680 --> 00:05:47,360 Speaker 1: Congratulation big milestone. We are waiting for first trade. The 111 00:05:47,400 --> 00:05:49,880 Speaker 1: stock indicated to open thirty to thirty four dollars a share, 112 00:05:49,920 --> 00:05:51,960 Speaker 1: which is higher than your reference price of twenty six 113 00:05:51,960 --> 00:05:55,719 Speaker 1: dollars a share. Stewart, how confident are you in this 114 00:05:55,800 --> 00:05:57,800 Speaker 1: moment as you wait there for this stock to start 115 00:05:57,800 --> 00:06:01,200 Speaker 1: trading about the process that the wreck listing was the 116 00:06:01,200 --> 00:06:05,960 Speaker 1: way to go. Um. We'll see, But I think for 117 00:06:06,400 --> 00:06:09,640 Speaker 1: at this point it has been working exactly the way 118 00:06:09,680 --> 00:06:13,320 Speaker 1: we're supposed to work. Um. And ultimately we'll open, we'll 119 00:06:13,320 --> 00:06:15,440 Speaker 1: have a high and a low today, we'll close, and 120 00:06:15,440 --> 00:06:17,040 Speaker 1: then the same thing is gonna happen tomorrow and the 121 00:06:17,080 --> 00:06:19,400 Speaker 1: next day and the next day, and we are very 122 00:06:19,480 --> 00:06:22,599 Speaker 1: much focused on the long term. Now, you're still paying 123 00:06:22,640 --> 00:06:24,800 Speaker 1: large fees to bankers. You still raised a lot of 124 00:06:24,800 --> 00:06:27,680 Speaker 1: money on the private market. So what problem are you 125 00:06:27,720 --> 00:06:31,719 Speaker 1: really solving Stewart by doing a direct listing versus the 126 00:06:31,760 --> 00:06:36,440 Speaker 1: traditional I P O. Well, the first one is that 127 00:06:36,480 --> 00:06:38,599 Speaker 1: no need to raise primary capital. We came into this 128 00:06:38,680 --> 00:06:41,480 Speaker 1: process with over million dollars on the balance sheet, so 129 00:06:41,920 --> 00:06:44,320 Speaker 1: the delusion to existing shareholders would have been tough. I 130 00:06:44,320 --> 00:06:46,280 Speaker 1: think we did get a little bit more freedom and 131 00:06:46,320 --> 00:06:48,880 Speaker 1: how we tell the story. So in addition to a 132 00:06:49,000 --> 00:06:51,920 Speaker 1: road show, but instead of only having a road show 133 00:06:52,000 --> 00:06:54,800 Speaker 1: in private rooms with the investors, we were able to 134 00:06:54,800 --> 00:06:57,440 Speaker 1: do an investor day, live stream it and make the 135 00:06:57,520 --> 00:07:00,120 Speaker 1: video available to everyone. Um, and that I think is 136 00:07:00,160 --> 00:07:04,159 Speaker 1: a pertition a better position. Now Alan Slack is still 137 00:07:04,200 --> 00:07:07,120 Speaker 1: unprofitable and the markets have rewarded profits even if they're 138 00:07:07,120 --> 00:07:11,400 Speaker 1: slim profits. How far out is profitability? Well, our primary 139 00:07:11,400 --> 00:07:14,400 Speaker 1: focus right now is to invest in growth, and as 140 00:07:14,440 --> 00:07:16,640 Speaker 1: we continue to build on what we think is a 141 00:07:16,640 --> 00:07:18,840 Speaker 1: new category, that's going to be our focus for a 142 00:07:18,880 --> 00:07:21,280 Speaker 1: long time. But we've also said to investors that our 143 00:07:21,320 --> 00:07:24,600 Speaker 1: near term priority is to drive towards cash will break even. 144 00:07:24,960 --> 00:07:27,200 Speaker 1: We have high confidence in the strong economics of our 145 00:07:27,240 --> 00:07:30,280 Speaker 1: business that we can still invest very aggressively while driving 146 00:07:30,320 --> 00:07:35,320 Speaker 1: towards that near term profitability market. So, then, Stewart, how 147 00:07:35,400 --> 00:07:38,200 Speaker 1: much of a priority would you say that profitability actually is. 148 00:07:39,400 --> 00:07:41,640 Speaker 1: I think, uh, I don't want to get you technical 149 00:07:41,680 --> 00:07:44,280 Speaker 1: about it. In sas there's a lot of deferred revenues, 150 00:07:44,320 --> 00:07:47,000 Speaker 1: so accounting profitability isn't that much of a priority. As 151 00:07:47,040 --> 00:07:49,640 Speaker 1: Alan was saying, bringing in more cash than we put 152 00:07:49,680 --> 00:07:52,120 Speaker 1: out on an ongoing basis is a priority because it 153 00:07:52,120 --> 00:07:55,000 Speaker 1: allows us to control our own destiny. The ideal for 154 00:07:55,120 --> 00:07:57,720 Speaker 1: us though, is that we continually find new ways and 155 00:07:57,760 --> 00:08:00,720 Speaker 1: new opportunities to invest to further grow the business, and 156 00:08:00,760 --> 00:08:02,560 Speaker 1: we don't need a lot of free cash flow, but 157 00:08:03,160 --> 00:08:07,320 Speaker 1: just a little bit. Now, Allen, revenue growth is slowing. 158 00:08:07,440 --> 00:08:11,000 Speaker 1: What are some new sources of revenue you're expecting to tap. Well, 159 00:08:11,040 --> 00:08:12,920 Speaker 1: we're very pleased with the revenue growth. I think what 160 00:08:12,960 --> 00:08:16,080 Speaker 1: you're seeing is also we're making great track when customers 161 00:08:16,360 --> 00:08:20,560 Speaker 1: and we've gotten customers today. Our enterprise customers are also 162 00:08:20,600 --> 00:08:23,640 Speaker 1: growing even faster, so we have six customers over hun 163 00:08:23,840 --> 00:08:25,280 Speaker 1: Kane revenue and I think what you're seeing is we're 164 00:08:25,320 --> 00:08:27,320 Speaker 1: scaling so at the base of revenue that we're right now. 165 00:08:27,520 --> 00:08:29,720 Speaker 1: Some of the revenue growth this mathematically will come down, 166 00:08:30,000 --> 00:08:33,199 Speaker 1: but we're very optimizing about the opportunity. We believe it's 167 00:08:33,200 --> 00:08:35,480 Speaker 1: a huge new category to be built and invested behind. 168 00:08:35,679 --> 00:08:39,560 Speaker 1: So we're focused on that now. Stewart, We've charted your 169 00:08:39,559 --> 00:08:42,040 Speaker 1: progress from the very beginning. I went back into our archives. 170 00:08:42,040 --> 00:08:44,640 Speaker 1: The first interview I did with you was inn when 171 00:08:44,640 --> 00:08:47,000 Speaker 1: you were CEO of Tiny Speck and you were making 172 00:08:47,040 --> 00:08:51,280 Speaker 1: a game called Glitch, which sort of became slack in 173 00:08:52,360 --> 00:08:56,880 Speaker 1: Jared Leto crashed our interview. I will never forget that. Um, 174 00:08:56,960 --> 00:09:02,040 Speaker 1: your employees, your users really love the sort of quirkiness 175 00:09:02,040 --> 00:09:05,560 Speaker 1: of Slack, which is an ethos very much inspired by you. 176 00:09:05,880 --> 00:09:10,080 Speaker 1: That said, you are becoming a public company. You're going 177 00:09:10,120 --> 00:09:12,600 Speaker 1: to be doing earnings calls every quarter. How do you 178 00:09:12,679 --> 00:09:16,320 Speaker 1: manage that transition with public investors holding your feet to 179 00:09:16,320 --> 00:09:19,240 Speaker 1: the fire. I think both Al and I have been 180 00:09:19,280 --> 00:09:21,360 Speaker 1: committed and this is not a recent thing, but over 181 00:09:21,400 --> 00:09:23,120 Speaker 1: the course of many years on building the kind of 182 00:09:23,120 --> 00:09:25,840 Speaker 1: internal controls and systems that would allow us to operate 183 00:09:25,880 --> 00:09:29,040 Speaker 1: as a public company. UM. So you know the financial 184 00:09:29,120 --> 00:09:32,640 Speaker 1: business operations side. That again a long time ago, and 185 00:09:32,679 --> 00:09:35,360 Speaker 1: we've been working with the whole company that kind of 186 00:09:35,400 --> 00:09:38,199 Speaker 1: transition in the limited number of ways that we do. 187 00:09:38,280 --> 00:09:41,040 Speaker 1: I mean, the we believe we can keep the same culture. 188 00:09:41,120 --> 00:09:43,760 Speaker 1: We can believe we can keep the same approach to 189 00:09:43,920 --> 00:09:46,360 Speaker 1: serving customers. If you think about our mission to make 190 00:09:46,400 --> 00:09:49,640 Speaker 1: people's working life simpler, more pleasant, and more productive, there's 191 00:09:49,920 --> 00:09:51,520 Speaker 1: a nice humility to it because we do want to 192 00:09:51,520 --> 00:09:54,160 Speaker 1: be of service. So there's also a huge ambition, and 193 00:09:54,440 --> 00:09:57,520 Speaker 1: I think the challenge for us or you know, like 194 00:09:57,720 --> 00:09:59,600 Speaker 1: kind of the what we're going to have to pull 195 00:09:59,640 --> 00:10:03,280 Speaker 1: off is bringing investors along on that ride and help 196 00:10:03,360 --> 00:10:05,839 Speaker 1: them understand what the long term vision is and what 197 00:10:05,880 --> 00:10:09,000 Speaker 1: we can truly do to support companies all over the world. 198 00:10:10,120 --> 00:10:12,440 Speaker 1: Now you're entering the volatile market. We're in the midst 199 00:10:12,480 --> 00:10:16,240 Speaker 1: of a trade war with China. You could imagine in 200 00:10:16,480 --> 00:10:20,080 Speaker 1: an economic downturn that businesses are going to cut budgets. 201 00:10:20,120 --> 00:10:23,079 Speaker 1: They might not cut email, they might not cut Microsoft Office, 202 00:10:23,120 --> 00:10:25,400 Speaker 1: they might cut the nice to haves, and they might 203 00:10:25,440 --> 00:10:29,040 Speaker 1: think that Slack falls into that category. Stewart, how big 204 00:10:29,080 --> 00:10:32,440 Speaker 1: a risk is that? I don't see any real risk 205 00:10:32,440 --> 00:10:35,280 Speaker 1: in that we have exceptional retention, so industry leading on 206 00:10:35,320 --> 00:10:38,440 Speaker 1: both the enterprise side and the SMB side. Um Our 207 00:10:38,440 --> 00:10:40,720 Speaker 1: customers tell us black is the kind of thing that 208 00:10:40,880 --> 00:10:42,360 Speaker 1: they didn't know they needed, but once they have it, 209 00:10:42,559 --> 00:10:44,720 Speaker 1: can't live without it. And if you can't live without Sudden, 210 00:10:45,080 --> 00:10:46,960 Speaker 1: it's not going to be one of the items that 211 00:10:47,000 --> 00:10:51,599 Speaker 1: are cut on a discretionary basis. So Alan would you say, 212 00:10:51,640 --> 00:10:54,240 Speaker 1: you know, how much do these market fluctuations? How much 213 00:10:54,240 --> 00:10:58,480 Speaker 1: are you following what's happening in the global economy. Well, 214 00:10:58,520 --> 00:11:00,319 Speaker 1: we we watched it like anybody, all us, but it 215 00:11:00,360 --> 00:11:02,280 Speaker 1: doesn't necessarily affect the way we are on our business. 216 00:11:02,280 --> 00:11:04,600 Speaker 1: We're building a new category. We have so many things 217 00:11:04,600 --> 00:11:07,720 Speaker 1: to focus on, supporting our customers and building this ambition 218 00:11:07,760 --> 00:11:10,120 Speaker 1: of a new way of working. So we've control we 219 00:11:10,160 --> 00:11:11,960 Speaker 1: can control, and the markets see what they need to 220 00:11:11,960 --> 00:11:16,720 Speaker 1: do now. Stewart analysts say that chat apps are a 221 00:11:16,760 --> 00:11:20,600 Speaker 1: dime of dozen. You've got huge competitors like Microsoft, like Facebook, 222 00:11:20,640 --> 00:11:24,760 Speaker 1: with deep pockets and billions of users over the longer term, 223 00:11:24,800 --> 00:11:28,280 Speaker 1: how do you differentiate yourself? How do you compete when 224 00:11:28,320 --> 00:11:30,640 Speaker 1: even you say in your own risk factors, you haven't 225 00:11:30,640 --> 00:11:33,720 Speaker 1: figured out the optimal price because it depends often on 226 00:11:33,800 --> 00:11:37,319 Speaker 1: what your competitors are doing. At Slack, we say we 227 00:11:37,400 --> 00:11:40,360 Speaker 1: are a competitor aware, but customer assessed, and I know 228 00:11:40,840 --> 00:11:43,080 Speaker 1: it's hard for me to imagine anything that any competitor 229 00:11:43,080 --> 00:11:45,640 Speaker 1: would do that would cause us to change our plans 230 00:11:46,080 --> 00:11:49,160 Speaker 1: um when those plans are all oriented around creating value 231 00:11:49,240 --> 00:11:52,400 Speaker 1: for our customers. So one of the things you want 232 00:11:52,440 --> 00:11:53,959 Speaker 1: to do is put ourselves in the position sets that 233 00:11:54,000 --> 00:11:56,600 Speaker 1: Slack the company becomes more valuable as the world uses 234 00:11:56,640 --> 00:11:59,560 Speaker 1: more software because Slack the product becomes more valuable for 235 00:11:59,600 --> 00:12:02,200 Speaker 1: each of our customers as they use more software because 236 00:12:02,200 --> 00:12:05,720 Speaker 1: of the platform, because of the integrations. Uh, you know, 237 00:12:05,800 --> 00:12:09,720 Speaker 1: there's a whole world out there of other software. The 238 00:12:09,800 --> 00:12:11,640 Speaker 1: number of categories continues to put there for it, the 239 00:12:11,720 --> 00:12:15,079 Speaker 1: number of dollars that companies investment software every year continues 240 00:12:15,120 --> 00:12:17,040 Speaker 1: to go up. So in that kind of market, and 241 00:12:17,040 --> 00:12:19,000 Speaker 1: in a world where we have ten million daily active 242 00:12:19,080 --> 00:12:21,880 Speaker 1: users out of the million plus that we believe would 243 00:12:21,880 --> 00:12:25,800 Speaker 1: benefits from Slock, it's just wide open all right. Shares 244 00:12:25,840 --> 00:12:29,679 Speaker 1: now indicated to open thirty two thirty four dollars a share, 245 00:12:29,760 --> 00:12:31,760 Speaker 1: So so we're getting a little bit higher. This means 246 00:12:31,840 --> 00:12:36,120 Speaker 1: that you know, investors, employees can sell their shares immediately. Alan, 247 00:12:36,400 --> 00:12:38,480 Speaker 1: should we be worried about a brain drain? Should we 248 00:12:38,520 --> 00:12:42,240 Speaker 1: be worried about a talent exodus once employees can sell 249 00:12:42,600 --> 00:12:47,000 Speaker 1: with no lock up. I think employees like investors, they're 250 00:12:47,000 --> 00:12:49,959 Speaker 1: appreciating how big of a category and opportunity this is. 251 00:12:50,160 --> 00:12:53,079 Speaker 1: We estimate this addressable market to be twenty billion dollars 252 00:12:53,360 --> 00:12:55,800 Speaker 1: and we're just getting started here at one where a 253 00:12:55,880 --> 00:12:59,920 Speaker 1: category and a product and a hub that values adoption 254 00:13:00,000 --> 00:13:03,560 Speaker 1: and use er engagement, you know, customer experience as well 255 00:13:03,640 --> 00:13:05,480 Speaker 1: as the thoughtless sort of alluded to which we think 256 00:13:05,600 --> 00:13:07,760 Speaker 1: is going to transform the way people work in the future. 257 00:13:07,840 --> 00:13:11,880 Speaker 1: Here now, Stewart, last quick question for you. You've been 258 00:13:11,920 --> 00:13:15,080 Speaker 1: very focused on building a diverse team. Slack punches above 259 00:13:15,080 --> 00:13:17,200 Speaker 1: its way on women and minorities that I know even 260 00:13:17,240 --> 00:13:20,920 Speaker 1: you admit that that you still have work to do. Unfortunately, 261 00:13:21,000 --> 00:13:23,920 Speaker 1: other CEOs still don't think diversity is a priority. How 262 00:13:24,000 --> 00:13:26,719 Speaker 1: has having a diverse team, having more voices in the 263 00:13:26,800 --> 00:13:29,920 Speaker 1: room helped you get to this moment, helped you improve 264 00:13:29,960 --> 00:13:33,760 Speaker 1: the bottom line? Well, I think that there's a bit 265 00:13:33,760 --> 00:13:36,360 Speaker 1: of an increasing return dynamic. So the better job we 266 00:13:36,480 --> 00:13:38,920 Speaker 1: do the easier it is to take the next step. 267 00:13:39,200 --> 00:13:41,959 Speaker 1: And so UM, there's a lot of early employees I 268 00:13:41,960 --> 00:13:44,720 Speaker 1: think who made really important contributions to the Slack culture 269 00:13:45,080 --> 00:13:48,280 Speaker 1: opened it up UM and brought in people from their network, 270 00:13:48,480 --> 00:13:51,240 Speaker 1: and that has allowed us to kind of continue, which 271 00:13:51,280 --> 00:13:53,160 Speaker 1: reduces some of the resistance because it can be very 272 00:13:53,200 --> 00:13:55,280 Speaker 1: difficult if company gets too big. Is that's something that 273 00:13:55,320 --> 00:13:57,400 Speaker 1: we're we're proud of, but you know, you said, we 274 00:13:57,440 --> 00:14:00,760 Speaker 1: have more work to do. It's uh, that doesn't end. 275 00:14:01,200 --> 00:14:04,199 Speaker 1: We're part of the larger culture, in the larger society UM, 276 00:14:04,240 --> 00:14:07,560 Speaker 1: and we do what we can. Uh. My hope is 277 00:14:07,600 --> 00:14:09,320 Speaker 1: that there are you know, a group of people who 278 00:14:09,360 --> 00:14:12,480 Speaker 1: graduate from SLOCK and go on to start other companies, UM, 279 00:14:12,600 --> 00:14:15,440 Speaker 1: to have careers at other companies and kind of spread 280 00:14:15,440 --> 00:14:18,959 Speaker 1: that way of working on all right, Stewart Butterfield, CEO 281 00:14:19,000 --> 00:14:21,480 Speaker 1: and co founder Slack Ellen Shim the CFO, we're waiting 282 00:14:21,480 --> 00:14:23,720 Speaker 1: for shares to start trading. Thank you both so much 283 00:14:23,760 --> 00:14:26,800 Speaker 1: for joining us. Back to you, Emily Chang, thank you 284 00:14:26,880 --> 00:14:29,720 Speaker 1: so much. That was Emily Chang of Bloomberg Television interviewing 285 00:14:29,960 --> 00:14:33,040 Speaker 1: Slack CEO Stewart Butterfield and CFO Allen Shim who were 286 00:14:33,040 --> 00:14:36,560 Speaker 1: on the New York Stock Exchange floors. The stock opens 287 00:14:36,720 --> 00:14:40,640 Speaker 1: begins to openfor trading. At some point later this this morning, 288 00:14:40,960 --> 00:14:42,560 Speaker 1: we still have man Deep seeing with us Man Deep 289 00:14:42,600 --> 00:14:45,760 Speaker 1: as the senior technology annals for Bloomberg Intelligence, So Manteep. 290 00:14:45,840 --> 00:14:47,520 Speaker 1: One of the things I thought was interesting was the 291 00:14:47,560 --> 00:14:51,560 Speaker 1: discussion around competition. Um. The question, I guess is there 292 00:14:51,560 --> 00:14:53,920 Speaker 1: are some big competitors in the marketplace. How do you 293 00:14:53,960 --> 00:14:58,720 Speaker 1: think Slack is positioned in that space? Sure? So, I 294 00:14:58,760 --> 00:15:01,280 Speaker 1: think when I look at, you know, the comparative landscape, 295 00:15:01,280 --> 00:15:05,000 Speaker 1: obviously Microsoft is the biggest one for Slack, and Microsoft 296 00:15:05,080 --> 00:15:07,600 Speaker 1: is still a hybrid company. It's you know, it's got 297 00:15:07,640 --> 00:15:11,960 Speaker 1: a huge legacy on premise customer base and it's got 298 00:15:11,960 --> 00:15:14,920 Speaker 1: a lot of new cloud offerings. I think what they're 299 00:15:14,960 --> 00:15:17,400 Speaker 1: trying to do, what Microsoft specifically is trying to do, 300 00:15:17,440 --> 00:15:20,440 Speaker 1: is to build their team's product which competes with Slack, 301 00:15:20,480 --> 00:15:24,160 Speaker 1: and Slack will have a tough time displacing a Microsoft 302 00:15:24,240 --> 00:15:27,320 Speaker 1: when it comes to you know, large enterprises. So I 303 00:15:27,360 --> 00:15:30,520 Speaker 1: think Stewart alluded to it that they're gonna keep spending on, 304 00:15:30,600 --> 00:15:33,080 Speaker 1: you know, acquiring new customers. That seems to be the 305 00:15:33,120 --> 00:15:37,000 Speaker 1: path to sustain revenue growth. Here, I would have wanted to, 306 00:15:37,080 --> 00:15:39,880 Speaker 1: you know, hear more around product expansion and how they 307 00:15:39,920 --> 00:15:42,760 Speaker 1: want to move into different areas of software versus just 308 00:15:42,920 --> 00:15:46,520 Speaker 1: focusing on chats, because there are a lot of chat 309 00:15:46,560 --> 00:15:49,760 Speaker 1: companies out there and it's hard to you know, sustain 310 00:15:49,880 --> 00:15:52,520 Speaker 1: your revenue growth just when you're a single product company. Yeah. 311 00:15:52,560 --> 00:15:55,800 Speaker 1: The other thing I heard there which kind of concerned 312 00:15:55,800 --> 00:15:58,400 Speaker 1: me a little bit, is a discussion about profitability. This is, 313 00:15:58,440 --> 00:16:00,080 Speaker 1: you know, this the standard line from a lot of 314 00:16:00,160 --> 00:16:02,080 Speaker 1: these technology companies that they are going to continue to 315 00:16:02,160 --> 00:16:05,360 Speaker 1: invest in growth. And I think what we saw again 316 00:16:05,840 --> 00:16:09,040 Speaker 1: from Uber and Lift is investors are all for the 317 00:16:09,040 --> 00:16:12,080 Speaker 1: top line, but they least have to have some path 318 00:16:12,240 --> 00:16:14,960 Speaker 1: to profitability, a vision of how a company can get 319 00:16:14,960 --> 00:16:18,200 Speaker 1: to profitability, and arguably Uber and Left have not made 320 00:16:18,200 --> 00:16:20,720 Speaker 1: that clear to investors. Do you think investors are going 321 00:16:20,800 --> 00:16:23,920 Speaker 1: to give this company? I pass on this don't worry 322 00:16:23,960 --> 00:16:26,920 Speaker 1: about the profits right now story. I think as long 323 00:16:26,960 --> 00:16:29,880 Speaker 1: as they maintained the top line growth of over fifty 324 00:16:30,680 --> 00:16:33,440 Speaker 1: that's the key here, because the overall cloud market is 325 00:16:33,480 --> 00:16:36,400 Speaker 1: still growing over and we're talking about, you know, a 326 00:16:36,440 --> 00:16:39,800 Speaker 1: hundred and fifty billion plus market growing at this is 327 00:16:39,840 --> 00:16:42,640 Speaker 1: a company with four hundred million dollars in revenue, it 328 00:16:42,720 --> 00:16:45,880 Speaker 1: has to you know, grow at least fifty. As long 329 00:16:45,920 --> 00:16:49,160 Speaker 1: as they maintain that top line growth, it should be okay. 330 00:16:49,200 --> 00:16:51,400 Speaker 1: But I think where they're gonna struggle is we've got 331 00:16:51,440 --> 00:16:53,680 Speaker 1: good comps for Slack. You have a company like a 332 00:16:53,760 --> 00:16:57,640 Speaker 1: Classian that is operating margin positive. You have a company 333 00:16:57,720 --> 00:17:01,360 Speaker 1: like DocuSign that is operating margin positive. Box and drop 334 00:17:01,400 --> 00:17:04,720 Speaker 1: Box are trading at much lower multiples than Slack is. 335 00:17:05,080 --> 00:17:07,240 Speaker 1: So I think there will be a real challenge for 336 00:17:07,359 --> 00:17:10,720 Speaker 1: Slack to make sure investors are able to you know, 337 00:17:10,800 --> 00:17:13,639 Speaker 1: write in that growth story without them having a clear 338 00:17:13,640 --> 00:17:16,360 Speaker 1: path through profitability. Men Deep Seek, thank you so much. 339 00:17:16,440 --> 00:17:19,399 Speaker 1: A man Deep, senior tech analyst for Bluemberg Intelligence, joining 340 00:17:19,440 --> 00:17:38,639 Speaker 1: me here in the Bloomberg Interactor Brooker Studios. Trade back 341 00:17:38,800 --> 00:17:41,600 Speaker 1: on the front, Bernard, and I guess despite some deverished 342 00:17:41,640 --> 00:17:46,080 Speaker 1: comments by President Trump yesterday about trade tensions, remain high 343 00:17:46,080 --> 00:17:48,679 Speaker 1: concerns about what the impact will be on corporate America. 344 00:17:48,760 --> 00:17:51,160 Speaker 1: Now we're actually starting to see some of the leading 345 00:17:51,200 --> 00:17:54,760 Speaker 1: corporations in America kind of voicing their concerns to the 346 00:17:54,760 --> 00:17:57,199 Speaker 1: appropriate folks in Washington. So you get a sense of 347 00:17:57,200 --> 00:17:59,720 Speaker 1: what's going on there. We welcome Sarah How's Actually's a 348 00:17:59,760 --> 00:18:03,000 Speaker 1: retail colms for Bloomberg Opinion, usually based in d C, 349 00:18:03,119 --> 00:18:06,600 Speaker 1: but joining us today in our Bloomberg Interactive Broker Studio. Sarah, 350 00:18:06,640 --> 00:18:08,600 Speaker 1: thanks so much for being with us. So we think 351 00:18:08,640 --> 00:18:11,760 Speaker 1: about some of these big companies, big brands, how are 352 00:18:11,800 --> 00:18:15,520 Speaker 1: they trying to get their story about to the Washington 353 00:18:15,560 --> 00:18:18,600 Speaker 1: regulators about what could really impact their business if these 354 00:18:18,640 --> 00:18:21,280 Speaker 1: tariffs do in fact go through. So so far, they're 355 00:18:21,359 --> 00:18:25,080 Speaker 1: using a pretty traditional playbook. They're using their trade groups 356 00:18:25,080 --> 00:18:28,720 Speaker 1: in Washington, like the National Retail Federation. They're writing sternly 357 00:18:28,760 --> 00:18:31,800 Speaker 1: worded letters to the President that are signed by coalitions 358 00:18:31,840 --> 00:18:34,520 Speaker 1: of big name retailers UM and this week, what we're 359 00:18:34,560 --> 00:18:37,280 Speaker 1: seeing is that they are testifying at hearings for the 360 00:18:37,320 --> 00:18:39,760 Speaker 1: Office of the U. S. Trade Representative, trying to make 361 00:18:39,760 --> 00:18:42,199 Speaker 1: their case in that format. And I'm sort of wondering 362 00:18:42,240 --> 00:18:44,680 Speaker 1: if it's time for them to go off script here 363 00:18:44,760 --> 00:18:47,440 Speaker 1: and try something different, if it's time for these really 364 00:18:47,480 --> 00:18:50,040 Speaker 1: high profile consumer brands to get out there in a 365 00:18:50,080 --> 00:18:53,119 Speaker 1: more individual way and make their case directly to consumers 366 00:18:53,119 --> 00:18:55,240 Speaker 1: that these tariffs are not a good policy. Idea because 367 00:18:55,280 --> 00:18:58,520 Speaker 1: what we've not seen I don't believe is the you 368 00:18:58,560 --> 00:18:59,960 Speaker 1: know what we used to see in years past on 369 00:19:00,040 --> 00:19:01,760 Speaker 1: time maybe would be a you know, full page ed 370 00:19:01,840 --> 00:19:05,000 Speaker 1: in the New York Times or Walsh Journal, or television 371 00:19:05,000 --> 00:19:08,119 Speaker 1: ads or you know, a social media campaign. We haven't 372 00:19:08,119 --> 00:19:10,800 Speaker 1: really seen that yet, have we. That's exactly right, and 373 00:19:10,840 --> 00:19:13,640 Speaker 1: I think that we should imagine the power of Nike. 374 00:19:13,800 --> 00:19:16,240 Speaker 1: We all know it's marketing prowess. Imagine if they put 375 00:19:16,280 --> 00:19:19,240 Speaker 1: together a TV commercial sort of outlaying how this affects 376 00:19:19,240 --> 00:19:21,919 Speaker 1: them and their consumers. Imagine if you walked into a 377 00:19:22,080 --> 00:19:24,359 Speaker 1: retailer like Old Navy and they had a sign ups thing. 378 00:19:24,640 --> 00:19:26,720 Speaker 1: This ten dollar T shirt will be fifteen dollars in 379 00:19:26,760 --> 00:19:29,480 Speaker 1: November if this tariff policy is enacted. I think that 380 00:19:29,520 --> 00:19:31,800 Speaker 1: there's a fear out there that President Trump's brand is 381 00:19:31,840 --> 00:19:35,520 Speaker 1: so powerful that nobody wants to sort of go toe 382 00:19:35,560 --> 00:19:37,359 Speaker 1: to toe with him. But at the end of the day, 383 00:19:37,400 --> 00:19:40,119 Speaker 1: these retailers ought to remember their brands are really powerful too. 384 00:19:40,160 --> 00:19:42,399 Speaker 1: They serve millions of customers every day who have a 385 00:19:42,440 --> 00:19:45,239 Speaker 1: real loyalty to them, and that they should play on 386 00:19:45,320 --> 00:19:46,960 Speaker 1: that and try to get out there, get on the 387 00:19:47,000 --> 00:19:50,400 Speaker 1: Today Show, make their case directly to consumers. Is there 388 00:19:50,440 --> 00:19:53,320 Speaker 1: a sense that GF one or two big brands like 389 00:19:53,359 --> 00:19:55,880 Speaker 1: a Nike or something like that does it first, then 390 00:19:55,920 --> 00:19:59,600 Speaker 1: others will follow. I think that could certainly help. And 391 00:19:59,720 --> 00:20:03,040 Speaker 1: I just think that retailers have to remember that. I 392 00:20:03,080 --> 00:20:05,760 Speaker 1: think that we've just sort of seen Trump has a 393 00:20:05,760 --> 00:20:09,320 Speaker 1: willingness to put them in the center of all sorts 394 00:20:09,320 --> 00:20:12,000 Speaker 1: of issues that don't even relate to trade at this point. 395 00:20:12,040 --> 00:20:14,760 Speaker 1: We saw that most clearly with his threats on Mexico 396 00:20:15,000 --> 00:20:18,119 Speaker 1: right there. That's been averted temporarily, but that he was 397 00:20:18,160 --> 00:20:20,320 Speaker 1: going to put tariffs on all goods coming in from 398 00:20:20,320 --> 00:20:22,639 Speaker 1: Mexico to get his way on immigration. And so I 399 00:20:22,680 --> 00:20:25,720 Speaker 1: think whatever risk they see out there in speaking up 400 00:20:25,720 --> 00:20:28,520 Speaker 1: on this issue, the risk to being put in the 401 00:20:28,520 --> 00:20:30,919 Speaker 1: center of another one of these entanglements, I think for 402 00:20:30,960 --> 00:20:33,159 Speaker 1: them is far worse. Right. And what have you have 403 00:20:33,240 --> 00:20:35,760 Speaker 1: we seen anybody kind of maybe just do a little 404 00:20:35,760 --> 00:20:37,639 Speaker 1: bit more. Have we seen anybody do anything on this 405 00:20:37,760 --> 00:20:39,920 Speaker 1: front um or do you think maybe they're just waiting 406 00:20:39,960 --> 00:20:41,840 Speaker 1: to see what happens down the road, maybe the G 407 00:20:41,960 --> 00:20:44,600 Speaker 1: twenty or something like that. Now, I think we've seen, 408 00:20:44,680 --> 00:20:47,080 Speaker 1: you know, comments here and there on earnings calls like 409 00:20:47,119 --> 00:20:50,760 Speaker 1: Walmart just kept repeating something along the lines of uh, 410 00:20:50,800 --> 00:20:54,639 Speaker 1: there's no question that increased taxes result increased prices. But 411 00:20:54,680 --> 00:20:58,080 Speaker 1: they weren't saying any specific, anything specific. And I think 412 00:20:58,080 --> 00:20:59,919 Speaker 1: that's where it would really make a difference, Right if 413 00:21:00,000 --> 00:21:02,560 Speaker 1: consumers could hear on this particular item that I put 414 00:21:02,560 --> 00:21:04,879 Speaker 1: in my pantry every week, or on this particular item 415 00:21:05,080 --> 00:21:06,480 Speaker 1: I know I'm going to need to buy for my 416 00:21:06,560 --> 00:21:09,240 Speaker 1: kids back to school shopping, I'm going to see higher prices. 417 00:21:09,440 --> 00:21:11,280 Speaker 1: I think that could go a long way towards getting 418 00:21:11,280 --> 00:21:14,120 Speaker 1: people riled up. Um, And we're just not seeing action there. 419 00:21:14,320 --> 00:21:16,520 Speaker 1: I think the other thing to remember is that I 420 00:21:16,600 --> 00:21:19,280 Speaker 1: have covered so many of these collisions of retail and 421 00:21:19,320 --> 00:21:22,720 Speaker 1: politics over the years, going back to Chipotle saying we 422 00:21:22,720 --> 00:21:25,240 Speaker 1: don't want people to bring guns into our stores, going 423 00:21:25,320 --> 00:21:29,120 Speaker 1: back to Walmart's UH saying urging its governor in Arkansas 424 00:21:29,160 --> 00:21:32,359 Speaker 1: to Vito or religious freedom bill, um. And none of 425 00:21:32,400 --> 00:21:35,280 Speaker 1: this has long term impact on any of these retailers. 426 00:21:35,440 --> 00:21:37,639 Speaker 1: I think we just live in a moment where politics 427 00:21:37,640 --> 00:21:40,439 Speaker 1: and business are colliding more and they should speak up 428 00:21:40,440 --> 00:21:42,440 Speaker 1: on the stuff that matters to them. This is fascinating. 429 00:21:42,440 --> 00:21:44,920 Speaker 1: We'll have to see how that plays out, because clearly 430 00:21:45,400 --> 00:21:48,879 Speaker 1: the impact on retailers and big consumer companies could in 431 00:21:48,920 --> 00:21:51,760 Speaker 1: fact be substantial. Some of these tariffs do go through 432 00:21:51,800 --> 00:21:55,480 Speaker 1: and likely, very likely could impact their businesses. Sarah Hawsak, 433 00:21:55,520 --> 00:21:57,840 Speaker 1: thanks so much for joining us in studio. We appreciate it. 434 00:21:57,960 --> 00:22:13,919 Speaker 1: Sarah's a retail calumnist for Bloomberg at Opinion. Well, equity 435 00:22:14,000 --> 00:22:17,240 Speaker 1: markets are certainly applauding the Fed's statement yesterday of likely 436 00:22:17,280 --> 00:22:19,640 Speaker 1: easing later this year. To get a sense of where 437 00:22:19,640 --> 00:22:22,080 Speaker 1: we go from here, we welcome Barry nap Berry is 438 00:22:22,080 --> 00:22:26,240 Speaker 1: a managing partner for Iron Sides macro Economics, based in Westland, 439 00:22:26,240 --> 00:22:29,480 Speaker 1: New Jersey, but now Vail, Colorado. Lucky Barry, Barry, thanks 440 00:22:29,520 --> 00:22:31,880 Speaker 1: so much for joining us. Just wonder if you can 441 00:22:31,960 --> 00:22:34,840 Speaker 1: give us kind of your takeaways from what we heard 442 00:22:34,840 --> 00:22:41,080 Speaker 1: from Chairman Pal yesterday. Sure. Um, well, they seem absolutely 443 00:22:41,200 --> 00:22:45,679 Speaker 1: committed to Uh, we're trying to resolve at least the 444 00:22:46,320 --> 00:22:50,600 Speaker 1: low inflation that's so persistent in the economy. Um. I 445 00:22:50,640 --> 00:22:54,000 Speaker 1: think it's an exercise and utility. Quite frankly, we've done 446 00:22:54,000 --> 00:22:56,919 Speaker 1: a lot of work on the correlation of the components 447 00:22:56,960 --> 00:23:01,360 Speaker 1: of GPI to convince ourselves that you me, what's causing 448 00:23:01,400 --> 00:23:05,840 Speaker 1: that the low inflation is um innovation adoption in the 449 00:23:05,880 --> 00:23:09,480 Speaker 1: service sector, and global excess capacity and goods. Even an 450 00:23:09,560 --> 00:23:14,040 Speaker 1: energy um shale has fundamentally changed the elasticity of supply 451 00:23:14,200 --> 00:23:17,720 Speaker 1: and likely dampen volatility and energy prices over time. So 452 00:23:18,000 --> 00:23:19,920 Speaker 1: all these things are out of the purview of the FETE, 453 00:23:20,000 --> 00:23:25,080 Speaker 1: but none. Nonetheless, they seem absolutely convinced that, uh, you know, 454 00:23:25,119 --> 00:23:28,280 Speaker 1: they've got to try and ease policy to to boost 455 00:23:28,320 --> 00:23:33,560 Speaker 1: inflation backwards two percent. Now I'm trying to avoid falling 456 00:23:33,560 --> 00:23:35,359 Speaker 1: into the trap of sounding like a bit of a 457 00:23:35,400 --> 00:23:39,560 Speaker 1: shrill and saying, well, this is going to cause um, 458 00:23:39,640 --> 00:23:42,920 Speaker 1: you know, impair creative destruction and cause asset bubbles and all. 459 00:23:43,040 --> 00:23:45,400 Speaker 1: Both those things are certainly true in the long run, 460 00:23:45,800 --> 00:23:48,000 Speaker 1: but in the near term, I don't think there's a 461 00:23:48,040 --> 00:23:50,000 Speaker 1: heck of a lot of risk to them easing from 462 00:23:50,000 --> 00:23:52,959 Speaker 1: this point, and so I'm a I'm a bit indifferent 463 00:23:53,040 --> 00:23:56,000 Speaker 1: to the whole thing. Obviously, investors in the near term 464 00:23:56,040 --> 00:23:59,600 Speaker 1: cheered it though we're well off or high um. But 465 00:24:00,119 --> 00:24:04,040 Speaker 1: I think on balance, to really understand what's going on 466 00:24:04,119 --> 00:24:07,040 Speaker 1: with the FED and what happened last year, I think 467 00:24:07,080 --> 00:24:09,679 Speaker 1: you need to step back from conventional rate policy and 468 00:24:09,760 --> 00:24:13,439 Speaker 1: think about just that. The demand for bonds from the 469 00:24:13,600 --> 00:24:17,080 Speaker 1: three major developed world central banks. So the e c B, 470 00:24:17,280 --> 00:24:20,440 Speaker 1: b o J and FED bought two trillion dollars worth 471 00:24:20,440 --> 00:24:25,160 Speaker 1: the bonds in ten they bought zero. And that really 472 00:24:25,320 --> 00:24:29,280 Speaker 1: accelerated around the September October time frame, when e C 473 00:24:29,400 --> 00:24:32,520 Speaker 1: D cut their purchases in half then reached their maximum 474 00:24:32,560 --> 00:24:35,200 Speaker 1: caps for balance sheet runoff. The B o J had 475 00:24:35,200 --> 00:24:38,640 Speaker 1: altered their guield curve control program a bit, and there 476 00:24:38,680 --> 00:24:41,159 Speaker 1: was a provision in the tax bill that ended that 477 00:24:41,560 --> 00:24:44,280 Speaker 1: allowed companies to contribute to their pension plan at the 478 00:24:44,280 --> 00:24:48,240 Speaker 1: old rate. So really what you had was a liquidity shocked, 479 00:24:48,359 --> 00:24:51,880 Speaker 1: going from two trillion of demands to zero in demand, 480 00:24:52,160 --> 00:24:54,960 Speaker 1: and that's what caused what we've been calling the q T, 481 00:24:55,680 --> 00:24:58,359 Speaker 1: you know, stock market crash in the fourth quarter. It 482 00:24:58,400 --> 00:25:01,000 Speaker 1: wasn't that rates got too tight. There was no part 483 00:25:01,000 --> 00:25:06,199 Speaker 1: of the economy really that exhibited um signs that that 484 00:25:06,359 --> 00:25:09,200 Speaker 1: policy was quite even the housing market. We thought the 485 00:25:09,240 --> 00:25:12,440 Speaker 1: slowdown last year was attributable to the state and local 486 00:25:12,480 --> 00:25:17,640 Speaker 1: tax production elimination, not higher rates. So much so I'm balancing, 487 00:25:17,840 --> 00:25:20,760 Speaker 1: I'm sort of been different to FED policy here. I 488 00:25:20,800 --> 00:25:24,479 Speaker 1: think what's more important is the improvement in domestic demand 489 00:25:24,480 --> 00:25:27,560 Speaker 1: and the pick back up and consumption from that QUT 490 00:25:27,760 --> 00:25:31,600 Speaker 1: crash that's been so evident in retail sales in particularly 491 00:25:31,680 --> 00:25:34,679 Speaker 1: last week's numbers. All Right, So if the FED is 492 00:25:34,680 --> 00:25:36,639 Speaker 1: what it is here, it's on the sidelines at least 493 00:25:36,800 --> 00:25:39,720 Speaker 1: for the very near term and then likely to ease 494 00:25:39,800 --> 00:25:42,000 Speaker 1: a little bit later in the year. The other big 495 00:25:42,080 --> 00:25:45,119 Speaker 1: driver of the market's performance really, you know, over the 496 00:25:45,200 --> 00:25:48,640 Speaker 1: last six to nine months, has been global trade tensions 497 00:25:48,680 --> 00:25:50,439 Speaker 1: and then appears that they might be coming to a 498 00:25:50,480 --> 00:25:53,320 Speaker 1: head here with China. How do you think that plays 499 00:25:53,480 --> 00:25:56,720 Speaker 1: out and how should investors kind of be positioned for 500 00:25:57,040 --> 00:26:01,920 Speaker 1: How do you think trade discussions with China my playout? Um? Well, 501 00:26:02,200 --> 00:26:06,560 Speaker 1: I thought that last week's numbers from China were really 502 00:26:07,000 --> 00:26:11,440 Speaker 1: very telling inasmuch as um industrial production was weaker than expected, 503 00:26:11,600 --> 00:26:14,920 Speaker 1: fix ass and investment was weaker than expected. The import 504 00:26:14,960 --> 00:26:17,680 Speaker 1: component of the trade data was much weaker than expected, 505 00:26:18,119 --> 00:26:21,520 Speaker 1: and whatever strength there was was in their traditional heavy 506 00:26:21,520 --> 00:26:27,240 Speaker 1: industry state owned enterprise sectors so steel cement those sectors, 507 00:26:27,320 --> 00:26:31,560 Speaker 1: and consumer sectors like auto production was decidedly weak. Technology 508 00:26:31,680 --> 00:26:35,640 Speaker 1: was very weak, So I we expect that this really 509 00:26:35,720 --> 00:26:39,480 Speaker 1: strengthened the hands of her formers and led to President 510 00:26:39,600 --> 00:26:41,960 Speaker 1: she being willing to come back to the table and 511 00:26:42,000 --> 00:26:45,960 Speaker 1: restart negotiations. So we've placed a fairly high probability that 512 00:26:46,040 --> 00:26:48,720 Speaker 1: we get a trade to tant h next week and 513 00:26:48,760 --> 00:26:52,879 Speaker 1: that pushes UM any further tariffs down the road at 514 00:26:52,960 --> 00:26:56,119 Speaker 1: least still much later this fall. So I think on 515 00:26:56,320 --> 00:27:00,359 Speaker 1: balance that's the key driver of the recovery and business 516 00:27:00,400 --> 00:27:03,280 Speaker 1: confidence in the US. That's been evident in capital spending 517 00:27:03,320 --> 00:27:08,280 Speaker 1: plans and the National Federation of Small Business confidence measures, 518 00:27:08,440 --> 00:27:10,560 Speaker 1: as well as a pickup and labor market turnover. So 519 00:27:10,720 --> 00:27:14,800 Speaker 1: that to us is the most likely scenario now if 520 00:27:14,800 --> 00:27:17,040 Speaker 1: the deal falls apart or if there is no trade 521 00:27:17,040 --> 00:27:21,240 Speaker 1: to time, because the stock markets, the fries UM, we're 522 00:27:21,280 --> 00:27:25,080 Speaker 1: clearly more vulnerable than we than we had been, perhaps 523 00:27:25,119 --> 00:27:29,280 Speaker 1: even going into you know, the May trade tweets. Still 524 00:27:29,320 --> 00:27:33,560 Speaker 1: I think that's a low probability, but you know that 525 00:27:34,320 --> 00:27:36,760 Speaker 1: you know that the downside associated with that is even 526 00:27:36,800 --> 00:27:38,639 Speaker 1: greater now that we're back up at the high. Now 527 00:27:38,680 --> 00:27:40,400 Speaker 1: that we're back up at the high, Barry Nap, thanks 528 00:27:40,440 --> 00:27:43,160 Speaker 1: so much for joining us. Barry's managing partner at Iron 529 00:27:43,200 --> 00:27:45,760 Speaker 1: Science of macro Economics joining us on the phone today 530 00:27:45,840 --> 00:27:49,800 Speaker 1: from Lovely Vail, Colorado. We appreciate his comments. Thanks for 531 00:27:49,840 --> 00:27:52,040 Speaker 1: listening to the Bloomberg P and L podcast. You can 532 00:27:52,080 --> 00:27:54,919 Speaker 1: subscribe and listen to interviews at Apple Podcasts or whatever 533 00:27:54,960 --> 00:27:57,960 Speaker 1: podcast platform you prefer. On Paul Sweeney, I'm on Twitter 534 00:27:58,040 --> 00:28:01,600 Speaker 1: at pt Sweeney, Brahmway Time on Twitter at Lisa Abramo. 535 00:28:01,680 --> 00:28:04,080 Speaker 1: It's one before the podcast. You can always catch us 536 00:28:04,200 --> 00:28:05,760 Speaker 1: worldwide on Bloomberg Radio.