1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,520 --> 00:00:15,560 Speaker 1: with essential market moving news on the Bloomberg Markets Podcast, 5 00:00:15,600 --> 00:00:18,439 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:21,960 Speaker 1: at Bloomberg dot com slash podcast. So let's talk to 7 00:00:22,280 --> 00:00:25,040 Speaker 1: somebody who does this stuff for a living. Chance see 8 00:00:25,079 --> 00:00:29,920 Speaker 1: I own partner, Oxbow Advisers. Chance you know the last 9 00:00:30,280 --> 00:00:33,720 Speaker 1: I don't know four or five weeks have suggested that 10 00:00:34,280 --> 00:00:37,000 Speaker 1: the market might be thinking maybe this FED can go 11 00:00:37,280 --> 00:00:40,879 Speaker 1: slower rather than faster in terms of raising rates. How 12 00:00:40,880 --> 00:00:43,960 Speaker 1: do you think about it? Yeah, Hi, Paul and Matt, 13 00:00:44,240 --> 00:00:46,600 Speaker 1: I think yeah. It's been interesting to see this rally 14 00:00:46,720 --> 00:00:50,519 Speaker 1: here July and into August. It seems like investors are 15 00:00:50,520 --> 00:00:52,760 Speaker 1: getting more excited that the FED may be able to 16 00:00:52,760 --> 00:00:55,920 Speaker 1: pull off this soft landing. We don't think, though, that 17 00:00:56,000 --> 00:00:58,800 Speaker 1: the lower than expected inflation number yesterday really changes the 18 00:00:58,800 --> 00:01:00,880 Speaker 1: Fed's plans. We think they're still going to hike in 19 00:01:00,920 --> 00:01:04,600 Speaker 1: September and November. You wouldn't really see them hit a 20 00:01:04,640 --> 00:01:07,160 Speaker 1: point that you might think they'd be about done hiking 21 00:01:07,200 --> 00:01:09,560 Speaker 1: until you see the federal funds rate above the two 22 00:01:09,640 --> 00:01:12,360 Speaker 1: year rate. That's usually when you'd start to see maybe 23 00:01:12,400 --> 00:01:15,039 Speaker 1: they would start to pivot in terms of their activity. 24 00:01:15,680 --> 00:01:18,040 Speaker 1: But we would expect the inflation rate to still only 25 00:01:18,080 --> 00:01:21,160 Speaker 1: come down slowly, and we're still seeing an economic slowdown. 26 00:01:21,240 --> 00:01:23,480 Speaker 1: So for us, our positions unchanged that we continue to 27 00:01:23,520 --> 00:01:25,760 Speaker 1: be pretty cautious in this environment. We did see the 28 00:01:25,760 --> 00:01:29,680 Speaker 1: two year come down drastically UM after the CPI number. 29 00:01:29,720 --> 00:01:33,640 Speaker 1: Now it's at three spot one seven three per cent, 30 00:01:34,319 --> 00:01:36,520 Speaker 1: so it looks like we need to go another sixty 31 00:01:36,640 --> 00:01:39,120 Speaker 1: seven point three basis points. Do you think they're gonna 32 00:01:39,160 --> 00:01:43,600 Speaker 1: go seventy five chance? I don't know. It seems like 33 00:01:43,640 --> 00:01:46,600 Speaker 1: maybe they just go with fifty um. Although when you 34 00:01:46,640 --> 00:01:49,320 Speaker 1: have the equity market rising like this, they kind of 35 00:01:49,320 --> 00:01:53,240 Speaker 1: given them permission to raise however much they want. Uh. Really, 36 00:01:53,240 --> 00:01:55,240 Speaker 1: only when the equity market starts to go down into 37 00:01:55,240 --> 00:01:58,040 Speaker 1: a significant extent that you think maybe that might really 38 00:01:58,080 --> 00:02:00,400 Speaker 1: pressed whether they want to push through as many hikes 39 00:02:00,440 --> 00:02:02,400 Speaker 1: as they'd intend to, especially with three and a half 40 00:02:02,400 --> 00:02:05,080 Speaker 1: percent unemployment. I know it's a backwards looking data point, 41 00:02:05,200 --> 00:02:08,920 Speaker 1: but still, uh, they seem to be really interested in 42 00:02:08,960 --> 00:02:12,600 Speaker 1: front loading. I think that's the case. And I think 43 00:02:12,639 --> 00:02:14,760 Speaker 1: the other thing to keep in mind is, even though 44 00:02:14,800 --> 00:02:17,920 Speaker 1: the month over month number on inflation was lower than 45 00:02:18,000 --> 00:02:20,440 Speaker 1: expected and you're starting to see, Okay, maybe we peaked 46 00:02:20,600 --> 00:02:22,400 Speaker 1: at nine percent last month and now it's going to 47 00:02:22,480 --> 00:02:25,519 Speaker 1: start trending down, you're still looking at an above eight 48 00:02:25,520 --> 00:02:28,760 Speaker 1: percent annual inflation number and how many months in a 49 00:02:28,840 --> 00:02:34,280 Speaker 1: row of real wages being negative for workers around the country. 50 00:02:34,320 --> 00:02:36,280 Speaker 1: And that's really where their top of mind is. And 51 00:02:36,320 --> 00:02:38,239 Speaker 1: like you said, if the unemployment rate is this low, 52 00:02:38,520 --> 00:02:40,480 Speaker 1: they're gonna want to keep pushing on that to try 53 00:02:40,520 --> 00:02:42,800 Speaker 1: and get back to an inflation number that at least 54 00:02:43,000 --> 00:02:46,000 Speaker 1: allows wage growth to be at least even, I know, 55 00:02:46,160 --> 00:02:48,799 Speaker 1: rather than losing versus inflation. Yeah, but this you look 56 00:02:48,840 --> 00:02:51,120 Speaker 1: at this equity markets chance and he really gets your 57 00:02:51,160 --> 00:02:53,040 Speaker 1: attention here. I mean, we get the SMP up, you know, 58 00:02:53,200 --> 00:02:58,280 Speaker 1: sixt offense low, the NaSTA on offense low. I mean, 59 00:02:58,280 --> 00:03:01,280 Speaker 1: you can't it's nothing to sneeze at. But is it 60 00:03:01,320 --> 00:03:05,120 Speaker 1: now suggests that maybe there's some risk greater risk in 61 00:03:05,160 --> 00:03:06,720 Speaker 1: the equity markets right here? Or do you think there's 62 00:03:06,720 --> 00:03:10,160 Speaker 1: more upside to go? We certainly think there's greater risk 63 00:03:10,200 --> 00:03:13,840 Speaker 1: at these prices. Just some numbers that we've been looking at. First, 64 00:03:13,840 --> 00:03:16,680 Speaker 1: the forward price to earnings ratio is back to nearly 65 00:03:16,760 --> 00:03:20,560 Speaker 1: eighteen times, which that's above the historic average, and that's 66 00:03:20,560 --> 00:03:23,600 Speaker 1: with earnings growth decelerating. We just went through a quarter 67 00:03:23,639 --> 00:03:27,040 Speaker 1: of earnings reports where it really was the energy, materials, 68 00:03:27,040 --> 00:03:30,120 Speaker 1: and industrial sectors that carried the earnings growth, and we 69 00:03:30,160 --> 00:03:32,320 Speaker 1: would expect their contribution to fade a bit and the 70 00:03:32,360 --> 00:03:35,680 Speaker 1: quarters that come considering the commodities prices are now starting 71 00:03:35,680 --> 00:03:38,160 Speaker 1: to come down. And then just looking at our own 72 00:03:38,200 --> 00:03:41,200 Speaker 1: portfolio are long term growth strategy that we managed for 73 00:03:41,240 --> 00:03:44,640 Speaker 1: our equity clients. We try to hold positions for the 74 00:03:44,720 --> 00:03:47,119 Speaker 1: long term, but we look at all of the positions 75 00:03:47,120 --> 00:03:48,800 Speaker 1: in there, there isn't a single one in that list 76 00:03:48,880 --> 00:03:51,480 Speaker 1: that we would consider to be undervalued versus their UH 77 00:03:51,640 --> 00:03:54,760 Speaker 1: on their current valuation versus their historic average. So it 78 00:03:54,840 --> 00:03:57,520 Speaker 1: just tells you how much markets have rallied back and 79 00:03:57,560 --> 00:03:59,960 Speaker 1: we don't see much opportunity at these prices. We've had 80 00:04:00,000 --> 00:04:03,720 Speaker 1: actually been reducing our exposure to cyclical sectors that typically 81 00:04:03,760 --> 00:04:06,320 Speaker 1: do well late cycle but then start to underperform in 82 00:04:06,360 --> 00:04:10,240 Speaker 1: a recession, So like financials, energy, and materials. We've been 83 00:04:10,240 --> 00:04:12,800 Speaker 1: cutting back in those areas. How do you assess earning 84 00:04:12,880 --> 00:04:16,040 Speaker 1: season so far? I mean what, um, you know, what 85 00:04:16,160 --> 00:04:20,160 Speaker 1: kind of forward e from the forward price earnings ratio 86 00:04:20,279 --> 00:04:24,120 Speaker 1: can you gauge from what we've seen. Yeah, it seems 87 00:04:24,160 --> 00:04:28,040 Speaker 1: like this current quarter that just we got done reporting, Uh, 88 00:04:28,320 --> 00:04:30,760 Speaker 1: everyone has seemed to already expect there's going to be 89 00:04:30,800 --> 00:04:33,400 Speaker 1: some disappointment. So it was actually the first quarter you 90 00:04:33,480 --> 00:04:36,760 Speaker 1: had in quite a while where companies that reported mrs 91 00:04:36,800 --> 00:04:39,279 Speaker 1: actually were up one percent the day after they reported, 92 00:04:39,279 --> 00:04:41,680 Speaker 1: which that rarely ever happened. So that tells you how 93 00:04:41,720 --> 00:04:44,560 Speaker 1: low expectations were. But it is notable to us that 94 00:04:44,640 --> 00:04:49,680 Speaker 1: companies with very long track records of outperforming expectations reported mrs, 95 00:04:49,720 --> 00:04:53,160 Speaker 1: like Microsoft or Alphabet and uh, and that just tells 96 00:04:53,200 --> 00:04:54,880 Speaker 1: you that it's going to be a more difficult environment 97 00:04:54,880 --> 00:04:57,360 Speaker 1: in the quarters to come. And you're still seeing some 98 00:04:57,440 --> 00:04:59,840 Speaker 1: news coming out like we're seeing with a Nvidia or 99 00:05:00,160 --> 00:05:03,800 Speaker 1: icon that there's some weakness on the horizon. And uh, frankly, 100 00:05:03,839 --> 00:05:06,599 Speaker 1: it's almost a quarter early for some of those semiconductor businesses. 101 00:05:06,640 --> 00:05:08,159 Speaker 1: I think it was gonna be more the third quarter 102 00:05:08,240 --> 00:05:11,240 Speaker 1: that people were expecting to see that weakness and it 103 00:05:11,320 --> 00:05:16,040 Speaker 1: arrived even sooner than that. So monitoring this closely. Alright, Chance, 104 00:05:16,480 --> 00:05:19,159 Speaker 1: question of the morning. Here, You've got your undergraduate degree 105 00:05:19,200 --> 00:05:22,680 Speaker 1: and your NBA Indiana. What the heck is a Hoosier? 106 00:05:25,440 --> 00:05:28,680 Speaker 1: I actually I don't even have a great explanation for that. 107 00:05:29,760 --> 00:05:34,240 Speaker 1: Nobody does. No, I don't know, um and I'm probably 108 00:05:34,240 --> 00:05:36,920 Speaker 1: failing for everybody who who grew up and I went 109 00:05:36,960 --> 00:05:38,640 Speaker 1: to school at that there. But I wouldn't be able 110 00:05:38,640 --> 00:05:40,320 Speaker 1: to agree with you a great definition. I mean, my 111 00:05:40,440 --> 00:05:43,919 Speaker 1: mild definition. It's somebody from Indiana. I think that might be. 112 00:05:43,960 --> 00:05:47,080 Speaker 1: It actually is basically it not based off an animal 113 00:05:47,120 --> 00:05:49,240 Speaker 1: or anything like That's like, it wasn't the state bird? 114 00:05:49,320 --> 00:05:51,679 Speaker 1: Is it a state? I got nothing, and I've asked 115 00:05:51,680 --> 00:05:55,680 Speaker 1: every Indiana grad I know, I got nothing. But anyway, Chance, 116 00:05:55,720 --> 00:05:58,760 Speaker 1: thanks for chipping in there. We appreciate it. Chance Fukan 117 00:05:58,960 --> 00:06:06,520 Speaker 1: c I O partner Oxbow Advisors. Danielle Bragg, a founder 118 00:06:06,560 --> 00:06:11,080 Speaker 1: and CEO of Defined dot AI, joins US fashionating area 119 00:06:11,080 --> 00:06:14,560 Speaker 1: of technology artificial intelligence. Danielle, thank you so much for 120 00:06:14,640 --> 00:06:17,640 Speaker 1: joining us, just for my own sake. How do you 121 00:06:17,760 --> 00:06:25,240 Speaker 1: define artificial intelligence? Hi? Medh and everybody? Well, artificial intelligence 122 00:06:25,480 --> 00:06:29,560 Speaker 1: is the simulation of a of a human brain. And 123 00:06:29,680 --> 00:06:33,040 Speaker 1: just like a name says artisticially, so it is it 124 00:06:33,520 --> 00:06:38,520 Speaker 1: counts with unlight and unlike UH software, it is trained, 125 00:06:38,640 --> 00:06:42,239 Speaker 1: it is not coded. So it's just like a human brain. 126 00:06:42,760 --> 00:06:47,719 Speaker 1: The more we learn, the more we can resolve daily situation. 127 00:06:48,040 --> 00:06:50,280 Speaker 1: And you know, I think I heard a lot about 128 00:06:50,360 --> 00:06:53,599 Speaker 1: this a couple of days ago as President Biden signed 129 00:06:53,960 --> 00:06:58,480 Speaker 1: the Chips Act. Is the federal government subsidizing AI research? 130 00:06:59,000 --> 00:07:01,120 Speaker 1: You think enough that we can keep up in the 131 00:07:01,200 --> 00:07:06,280 Speaker 1: kind of race to win technology. Well, the the US 132 00:07:06,279 --> 00:07:11,280 Speaker 1: government has been has been growing AI investment across all 133 00:07:11,600 --> 00:07:15,720 Speaker 1: their uh, all the departments that that has been on 134 00:07:15,800 --> 00:07:20,240 Speaker 1: the rise in the last five years. We have now 135 00:07:20,560 --> 00:07:25,800 Speaker 1: this Unair Task Force for the for the Investment of 136 00:07:26,040 --> 00:07:30,280 Speaker 1: AI in the Nation, which I'm part of alongside with 137 00:07:31,280 --> 00:07:37,720 Speaker 1: my colleagues twelve called well independent people. So yeah, the 138 00:07:37,840 --> 00:07:40,480 Speaker 1: West CONN continues to pour. But the interesting thing is 139 00:07:40,520 --> 00:07:44,600 Speaker 1: that the US on itself, the United States with the 140 00:07:44,600 --> 00:07:48,800 Speaker 1: private sector part as well, has been has invested fifty 141 00:07:48,880 --> 00:07:54,200 Speaker 1: two point nine billion last year, UH, followed by China 142 00:07:54,440 --> 00:07:57,640 Speaker 1: very far out with seventeen point two billions. So we 143 00:07:57,720 --> 00:08:00,120 Speaker 1: are putting in the public and the private sector are 144 00:08:00,160 --> 00:08:03,880 Speaker 1: a lot of investment. So where where where do you 145 00:08:03,880 --> 00:08:08,840 Speaker 1: think the most I guess appealing or attractive applications for 146 00:08:08,920 --> 00:08:12,440 Speaker 1: artificial intelligence are because you know, I listen to conference calls, 147 00:08:12,640 --> 00:08:16,240 Speaker 1: quarterly earnings conference calls, and I've got companies from you know, 148 00:08:16,320 --> 00:08:21,120 Speaker 1: like cookie makers, to technology companies, to entertainment companies, to 149 00:08:21,520 --> 00:08:26,000 Speaker 1: people who make shoes whatever, everybody's carmakers. Everybody talks about 150 00:08:26,240 --> 00:08:29,480 Speaker 1: artificial intelligence in their business. So I'm just wondering, where 151 00:08:29,480 --> 00:08:32,320 Speaker 1: do you think some of the most you know, tragic 152 00:08:32,360 --> 00:08:36,680 Speaker 1: actuations are. Yeah, well, the thing is a lot of 153 00:08:36,720 --> 00:08:40,080 Speaker 1: people talk about it and they're not doing AI. They 154 00:08:40,080 --> 00:08:43,240 Speaker 1: are still doing rule based systems and they just INSERTA 155 00:08:43,280 --> 00:08:46,400 Speaker 1: to where they A because it looks more fancy. But 156 00:08:46,559 --> 00:08:50,040 Speaker 1: where the thing is exciting right now, And you can 157 00:08:50,080 --> 00:08:52,720 Speaker 1: see in the rise, including in our business, which is 158 00:08:52,760 --> 00:08:57,439 Speaker 1: what we see our clients do is conversationally everywhere, which 159 00:08:57,480 --> 00:08:59,920 Speaker 1: is this part of the I where you can talk 160 00:09:00,120 --> 00:09:03,720 Speaker 1: two machine as you are talking to people. And this 161 00:09:03,840 --> 00:09:08,439 Speaker 1: is happening across everywhere. So in fitness steak in of course, 162 00:09:08,559 --> 00:09:12,280 Speaker 1: now we we are I mean in education and healthcare 163 00:09:12,520 --> 00:09:18,720 Speaker 1: with tele medazine, with and the classic ones on virtual 164 00:09:18,880 --> 00:09:21,360 Speaker 1: systems and in the car and in the house. And 165 00:09:21,400 --> 00:09:25,320 Speaker 1: if you combine conversationally I with robots, that will help 166 00:09:25,400 --> 00:09:27,640 Speaker 1: you whether you're in a work setting on or you 167 00:09:27,720 --> 00:09:31,840 Speaker 1: environ in a in a homesteading with daily tasks around 168 00:09:31,840 --> 00:09:34,959 Speaker 1: the house. This is becoming really exciting. How long until 169 00:09:35,000 --> 00:09:38,559 Speaker 1: it actually works? I mean I've been using the newest 170 00:09:38,640 --> 00:09:42,200 Speaker 1: and best car in fontainment systems. You know, I test 171 00:09:42,240 --> 00:09:45,040 Speaker 1: out new cars every every couple of weeks, and it 172 00:09:45,200 --> 00:09:48,199 Speaker 1: never really works. I'll say, you know, like play the 173 00:09:48,240 --> 00:09:51,880 Speaker 1: grateful Dead channel for me and it'll call my mom 174 00:09:51,920 --> 00:09:56,679 Speaker 1: that That is a great point. The investment done so 175 00:09:56,720 --> 00:10:00,720 Speaker 1: far is still not up to the results the we 176 00:10:00,760 --> 00:10:04,640 Speaker 1: should be at already. Uh And and on top of that, 177 00:10:05,120 --> 00:10:08,600 Speaker 1: while language model language models are more capable than ever 178 00:10:08,800 --> 00:10:14,240 Speaker 1: and you probably all know the latest on the the 179 00:10:14,320 --> 00:10:17,280 Speaker 1: suspicion that Google has created as C D N A I, 180 00:10:17,400 --> 00:10:20,079 Speaker 1: which is not We're so far from resolving the basics. 181 00:10:20,200 --> 00:10:24,040 Speaker 1: We can't get into the emotion emotionally I yet. But 182 00:10:24,200 --> 00:10:26,640 Speaker 1: the problem with that is the as you as you 183 00:10:26,720 --> 00:10:31,079 Speaker 1: grow more larger models, the models are more biased too, 184 00:10:31,600 --> 00:10:35,720 Speaker 1: and the rise of the ethical AI is everywhere, which 185 00:10:35,760 --> 00:10:41,200 Speaker 1: also translates into regulations, and we've seen from twenty sixteen 186 00:10:41,200 --> 00:10:46,600 Speaker 1: to twenty twenty one bills in twenty twenty five countries 187 00:10:46,640 --> 00:10:49,720 Speaker 1: going from one to eighteen. And now you see all 188 00:10:49,760 --> 00:10:52,960 Speaker 1: the data privacy all around. So now you're right, we're 189 00:10:53,040 --> 00:10:55,360 Speaker 1: very far. I'm glad you brought up the sentient AI 190 00:10:55,440 --> 00:10:58,880 Speaker 1: at Google because that's one of my favorite stories, really 191 00:10:58,920 --> 00:11:00,600 Speaker 1: non market stories of the here. But are we in 192 00:11:00,640 --> 00:11:03,480 Speaker 1: a race to our own enslavement or death? I mean, 193 00:11:03,559 --> 00:11:06,120 Speaker 1: isn't this AI going to eventually take us over or 194 00:11:06,200 --> 00:11:09,079 Speaker 1: kill us? I mean a movie about that. I think 195 00:11:09,080 --> 00:11:11,320 Speaker 1: Ellen must Bill Gates. All these people are worried about 196 00:11:11,320 --> 00:11:15,840 Speaker 1: that the terminator, Well they yeah, they are really being 197 00:11:15,840 --> 00:11:19,000 Speaker 1: in the space for twenty two years and understanding how 198 00:11:19,080 --> 00:11:24,079 Speaker 1: slow technology moves in these fields. We are still resolving barely, 199 00:11:24,640 --> 00:11:28,600 Speaker 1: like you guys said, the narrow AI problem, which is 200 00:11:28,679 --> 00:11:32,239 Speaker 1: resolving one task at the time. Lets let alone a contextual, 201 00:11:32,640 --> 00:11:37,600 Speaker 1: contextual information interaction between systems. We're very sharp on that. 202 00:11:37,760 --> 00:11:40,440 Speaker 1: We are in towards the world and more and more 203 00:11:40,520 --> 00:11:44,200 Speaker 1: this ethically I is uh an every big company and 204 00:11:44,280 --> 00:11:49,800 Speaker 1: small company has this UH this charter. Now starting data, 205 00:11:49,920 --> 00:11:54,280 Speaker 1: if you starting the data side but everybody is on 206 00:11:53,920 --> 00:12:01,119 Speaker 1: the same path to work along machine and not replace humans. 207 00:12:01,280 --> 00:12:07,600 Speaker 1: Humans activity will continue to be right for generations her 208 00:12:08,280 --> 00:12:10,560 Speaker 1: years from now, I hope so. Daniel Le Bragga, founder 209 00:12:10,600 --> 00:12:16,040 Speaker 1: and CEO of to Find dot Ai. Our next guest 210 00:12:16,720 --> 00:12:18,880 Speaker 1: is from the Great State of Ohio. And remember Mary, 211 00:12:18,920 --> 00:12:21,440 Speaker 1: yesterday we were talking about Cedar Point. They had the Gemini, 212 00:12:21,800 --> 00:12:25,880 Speaker 1: they have the Demon draw but they but they never 213 00:12:25,960 --> 00:12:28,400 Speaker 1: to me. I never thought it was as good as 214 00:12:28,480 --> 00:12:30,960 Speaker 1: King's Island, probably because King's I was a little bit 215 00:12:30,960 --> 00:12:33,000 Speaker 1: further away. I couldn't get there as easily, and King's 216 00:12:33,040 --> 00:12:35,480 Speaker 1: Island had the Beast, which was the largest wooden roller 217 00:12:35,520 --> 00:12:39,679 Speaker 1: coaster in the whole world. Yeah. So the Beck Ramaswamy 218 00:12:39,880 --> 00:12:42,439 Speaker 1: is in the studio with us right now. He has 219 00:12:42,480 --> 00:12:46,640 Speaker 1: started um an asset management company called Strive Asset Management. 220 00:12:46,640 --> 00:12:49,120 Speaker 1: He's written a couple of books as well, um the 221 00:12:49,160 --> 00:12:53,000 Speaker 1: most well, the first one being Woke Incorporated Inside Corporate 222 00:12:53,040 --> 00:12:56,880 Speaker 1: America's Social Justice Scam, and the second book, I'm Gonna 223 00:12:57,160 --> 00:12:59,840 Speaker 1: Guess is not yet published next month, next next month. 224 00:13:00,280 --> 00:13:02,160 Speaker 1: So Beck is here with us in studio. I'm really 225 00:13:02,160 --> 00:13:05,040 Speaker 1: excited because yesterday he launched his first E T F 226 00:13:05,120 --> 00:13:08,319 Speaker 1: strive Asset Management's first e t f UM which is 227 00:13:08,440 --> 00:13:10,240 Speaker 1: d r l L that's the ticker in the New 228 00:13:10,320 --> 00:13:14,120 Speaker 1: York Stock Exchange, and uh, it was extremely successful. Tell 229 00:13:14,160 --> 00:13:15,760 Speaker 1: us about it. Yeah, we're happy to have seen this 230 00:13:15,800 --> 00:13:18,360 Speaker 1: taken off. Hopefully that that, you know, trend continues, because 231 00:13:18,360 --> 00:13:20,160 Speaker 1: I think it's really important what we hope to deliver 232 00:13:20,200 --> 00:13:22,319 Speaker 1: to the U S energy sector the man It actually 233 00:13:22,320 --> 00:13:25,000 Speaker 1: is really simple, dr LLL drill. It's a new what 234 00:13:25,120 --> 00:13:27,680 Speaker 1: I call post E s G mandate to the U 235 00:13:27,760 --> 00:13:31,079 Speaker 1: S energy sector, telling these companies that you should focus 236 00:13:31,120 --> 00:13:34,280 Speaker 1: exclusively on what allows you to be most successful, most 237 00:13:34,320 --> 00:13:40,200 Speaker 1: profitable over the long run, without regard to any other environmental, social, 238 00:13:40,320 --> 00:13:44,000 Speaker 1: or political agenda. As important as those agendas, maybe we 239 00:13:44,000 --> 00:13:46,520 Speaker 1: should sort them out through the political process, but in 240 00:13:46,520 --> 00:13:49,800 Speaker 1: the boardroom, we're focused exclusively on the success of companies 241 00:13:50,120 --> 00:13:52,560 Speaker 1: and that's a really different message then you get from 242 00:13:52,600 --> 00:13:54,480 Speaker 1: other large asset managers, and we think we need to 243 00:13:54,520 --> 00:13:56,800 Speaker 1: have that debate well in the boardrooms. It was described 244 00:13:56,840 --> 00:13:59,640 Speaker 1: to me yesterday when we were talking about your launch, 245 00:13:59,720 --> 00:14:01,599 Speaker 1: because is we're gonna have you on Bloomberg's e t 246 00:14:01,760 --> 00:14:04,280 Speaker 1: f i Q on Monday UM. It was described to 247 00:14:04,280 --> 00:14:06,160 Speaker 1: me as an anti woke e t F. And my 248 00:14:06,200 --> 00:14:08,400 Speaker 1: first thought was, why would you want to do an 249 00:14:08,440 --> 00:14:11,240 Speaker 1: anti woke or awoke e t F because you wanted 250 00:14:11,320 --> 00:14:13,200 Speaker 1: the goal of investing is to make the most money 251 00:14:13,200 --> 00:14:16,120 Speaker 1: you can. And then so it's not, actually it's anti 252 00:14:16,120 --> 00:14:18,200 Speaker 1: woke e t F. It's not. I have I have 253 00:14:18,280 --> 00:14:22,120 Speaker 1: literally no idea why the well, Actually, my best guess 254 00:14:22,200 --> 00:14:24,840 Speaker 1: is in fairness, my book was called woking. I wrote 255 00:14:24,840 --> 00:14:27,440 Speaker 1: that in a personal capacity. So maybe people want to 256 00:14:27,480 --> 00:14:31,720 Speaker 1: push this narrative together for a headline, but for Stripes purposes, 257 00:14:31,800 --> 00:14:35,040 Speaker 1: our goal is to focus companies on excellence. There's nothing 258 00:14:35,080 --> 00:14:37,600 Speaker 1: woke or anti woke about it. And you know what, 259 00:14:37,800 --> 00:14:39,760 Speaker 1: I think that the E s G movement may have 260 00:14:40,000 --> 00:14:43,800 Speaker 1: offered some useful lessons for energy companies in the last decade, 261 00:14:43,880 --> 00:14:45,920 Speaker 1: maybe not the ones that they offered as their headlines, 262 00:14:46,280 --> 00:14:49,560 Speaker 1: but energy companies did overspend and over lever in the 263 00:14:49,600 --> 00:14:52,640 Speaker 1: early twenty teens, saying they're investing for growth. The shale 264 00:14:52,640 --> 00:14:55,560 Speaker 1: revolution was assigned shiny object. Interest rates were low, there 265 00:14:55,560 --> 00:14:57,960 Speaker 1: were some mistakes made for profitability in this sector. So 266 00:14:58,000 --> 00:15:00,320 Speaker 1: I think there are good lessons learned, but I think 267 00:15:00,360 --> 00:15:02,560 Speaker 1: the time has come to move past that e s 268 00:15:02,600 --> 00:15:05,400 Speaker 1: G investment consensus to say, you know what, fossil fuels 269 00:15:05,400 --> 00:15:08,960 Speaker 1: are not going anywhere after and if American energy companies 270 00:15:09,160 --> 00:15:13,080 Speaker 1: can actually invest to fill a massive looming supply, demand 271 00:15:13,120 --> 00:15:16,080 Speaker 1: and balance for global energy, that can lead these companies 272 00:15:16,080 --> 00:15:18,880 Speaker 1: to be more successful to trade at higher multiples. They 273 00:15:18,880 --> 00:15:21,680 Speaker 1: traded a lower multiple than the SMP five hundred, certainly 274 00:15:21,680 --> 00:15:24,400 Speaker 1: than US Tech today. They traded a lower multiple than 275 00:15:24,400 --> 00:15:26,480 Speaker 1: they've traded over their last thirty year average. I think 276 00:15:26,480 --> 00:15:29,240 Speaker 1: a b SG movement is in large part responsible for that. 277 00:15:29,680 --> 00:15:33,720 Speaker 1: We can unlock value by causing these companies to behave 278 00:15:33,760 --> 00:15:37,320 Speaker 1: in a way that actually takes exclusively their own financial 279 00:15:37,320 --> 00:15:40,040 Speaker 1: interests over the long run into account, rather than these 280 00:15:40,160 --> 00:15:43,400 Speaker 1: environmental and social agendas that have been imposed on them 281 00:15:43,440 --> 00:15:46,680 Speaker 1: top down by their shareholders. And it's interesting because when 282 00:15:46,680 --> 00:15:49,520 Speaker 1: I went to business school many moons ago, I learned 283 00:15:49,640 --> 00:15:53,360 Speaker 1: that the responsibility of the corporation was to maximize profits 284 00:15:53,400 --> 00:15:56,360 Speaker 1: for shareholders. Uh that has changed, I guess over the 285 00:15:56,440 --> 00:15:58,560 Speaker 1: last six, seven, eight years. I think the Business Roundtable 286 00:15:58,640 --> 00:16:01,880 Speaker 1: even came out with something saying kind of replacing shareholders 287 00:16:01,960 --> 00:16:06,040 Speaker 1: with stakeholders, introducing this whole against certain elements of the 288 00:16:06,040 --> 00:16:08,560 Speaker 1: E s G concept. Um, that's what I learned, and 289 00:16:08,560 --> 00:16:11,040 Speaker 1: I went to the most leftist college in the entire country, 290 00:16:11,040 --> 00:16:14,680 Speaker 1: exactly in Antioch. So what's the response been to your 291 00:16:14,800 --> 00:16:17,400 Speaker 1: your book, this E T F. Maybe I know you've 292 00:16:17,400 --> 00:16:21,000 Speaker 1: had discussions probably with investors, boards, things like that. What's 293 00:16:21,040 --> 00:16:24,480 Speaker 1: the feedback. So the feedback, certainly behind closed doors, is 294 00:16:24,520 --> 00:16:27,240 Speaker 1: almost universally positive. And then I think even in the 295 00:16:27,280 --> 00:16:29,960 Speaker 1: open what I've been pleased about is we're starting conversations 296 00:16:30,000 --> 00:16:31,680 Speaker 1: that people were not having, and I want to see 297 00:16:31,680 --> 00:16:34,920 Speaker 1: those conversations happen in the boardrooms of U S energy companies. 298 00:16:34,960 --> 00:16:37,200 Speaker 1: I think we're gonna catalyze. It actually spoke to the 299 00:16:37,280 --> 00:16:39,080 Speaker 1: one of the largest that might be the largest energy 300 00:16:39,080 --> 00:16:41,560 Speaker 1: conference in the country. It was the Intercom conference in 301 00:16:41,600 --> 00:16:44,080 Speaker 1: Denver earlier this week. It was a room full of 302 00:16:44,120 --> 00:16:46,960 Speaker 1: oil and gas ceo s. I don't think it's because 303 00:16:47,000 --> 00:16:48,720 Speaker 1: of the quality of my speech, but I got a 304 00:16:48,720 --> 00:16:51,320 Speaker 1: standing ovation at the end of the speech, which actually mystified. 305 00:16:51,320 --> 00:16:52,960 Speaker 1: There was a reporter in the room who tweeted about this, 306 00:16:52,960 --> 00:16:55,200 Speaker 1: who said, wait a minute, why are the same oil 307 00:16:55,240 --> 00:16:57,000 Speaker 1: executives who told me that they believe in their E 308 00:16:57,120 --> 00:17:00,000 Speaker 1: S G principles giving a standing ovation to Vec ramist 309 00:17:00,000 --> 00:17:02,480 Speaker 1: Amy speech because she, I think misunderstood it to be 310 00:17:02,480 --> 00:17:04,680 Speaker 1: anti E s G. I think the things she missed 311 00:17:04,760 --> 00:17:08,000 Speaker 1: is we're talking about moving forward past the E s 312 00:17:08,040 --> 00:17:11,679 Speaker 1: G investment consensus to meet an important human need. We 313 00:17:11,800 --> 00:17:16,320 Speaker 1: have a massive energy shortage, a supply demand imbalance that 314 00:17:16,440 --> 00:17:20,040 Speaker 1: isn't just short term. This isn't going away because systematic 315 00:17:20,160 --> 00:17:25,000 Speaker 1: underinvestment in production is a multi year peycle, not being 316 00:17:25,000 --> 00:17:27,600 Speaker 1: an energy When I see these energy prices going higher 317 00:17:27,600 --> 00:17:29,399 Speaker 1: and higher and higher, that yes, come back a little bit. 318 00:17:29,400 --> 00:17:31,879 Speaker 1: I see what's going on in Ukraine and Germany and 319 00:17:31,920 --> 00:17:34,560 Speaker 1: the and the energy crisis they're having in Europe, which 320 00:17:34,600 --> 00:17:36,880 Speaker 1: is going to get even worse this winter. Mike's dumb 321 00:17:37,000 --> 00:17:39,560 Speaker 1: question is like, just go build some more refineries on 322 00:17:39,600 --> 00:17:42,120 Speaker 1: the Gulf coast and we'll crank all this stuff out. 323 00:17:42,320 --> 00:17:44,959 Speaker 1: It would you really do that? In this regulatory environment 324 00:17:45,080 --> 00:17:47,920 Speaker 1: that my own president goes to Saudi Arabia before he 325 00:17:47,960 --> 00:17:50,160 Speaker 1: goes to Texas, Well, you know what it's it's it's 326 00:17:50,160 --> 00:17:52,600 Speaker 1: really interesting. So I think that there's there's two shackles 327 00:17:52,640 --> 00:17:55,400 Speaker 1: on the U s energy industry. One is imposed by policymakers. 328 00:17:55,640 --> 00:17:58,440 Speaker 1: The second is imposed by lowercase p policymakers through the 329 00:17:58,440 --> 00:18:01,280 Speaker 1: E s G movement in the boardroom. I'm actually optimistic 330 00:18:01,280 --> 00:18:03,280 Speaker 1: on the first of those. So here's something that I 331 00:18:03,320 --> 00:18:05,880 Speaker 1: think most market participants have not caught up to yet. 332 00:18:05,920 --> 00:18:08,119 Speaker 1: But it was a big deal West Virginia versus e 333 00:18:08,200 --> 00:18:10,000 Speaker 1: p A. I personally think it was the most important 334 00:18:10,040 --> 00:18:13,040 Speaker 1: Supreme Court case on this year's docket, which found that 335 00:18:13,160 --> 00:18:15,399 Speaker 1: one of the regulations imposed by the e p A 336 00:18:15,480 --> 00:18:19,800 Speaker 1: on the coal industry was actually unconstitutional because it caused 337 00:18:20,000 --> 00:18:23,480 Speaker 1: the EPA basically exceeded the scope of the statutory authority 338 00:18:23,520 --> 00:18:26,640 Speaker 1: granted to it by Congress. If that was unconstitutional, then 339 00:18:26,920 --> 00:18:29,520 Speaker 1: most of the regulations on the U. S energy industry 340 00:18:29,520 --> 00:18:32,480 Speaker 1: are also unconstitutional. And guess what the one way to 341 00:18:32,520 --> 00:18:34,440 Speaker 1: fix that is for Congress. In the spring Court basically 342 00:18:34,440 --> 00:18:36,760 Speaker 1: implies this Congress could pass the law and make it 343 00:18:36,800 --> 00:18:38,520 Speaker 1: part of the law. That's not gonna happen after what's 344 00:18:38,520 --> 00:18:41,240 Speaker 1: coming this November, after the changing political wins in this country. 345 00:18:41,280 --> 00:18:44,000 Speaker 1: So on the political and regulatory side, I think what 346 00:18:44,040 --> 00:18:46,560 Speaker 1: people see as a headwind amongst investors could actually be 347 00:18:46,560 --> 00:18:48,880 Speaker 1: a tail wind for the sector that leaves the real 348 00:18:49,320 --> 00:18:52,080 Speaker 1: remaining obstacle to be in the boardrooms imposed by e 349 00:18:52,200 --> 00:18:54,560 Speaker 1: SG linked asset managers. That's what we're hoping to fix 350 00:18:54,600 --> 00:18:56,040 Speaker 1: it strip. By the way, a lot of people on 351 00:18:56,080 --> 00:18:58,639 Speaker 1: the left also think that was the most important ruling, 352 00:18:58,800 --> 00:19:02,920 Speaker 1: but they're very much ended it right. Well, Congress is 353 00:19:02,960 --> 00:19:06,480 Speaker 1: going to have to make laws for every single regulation 354 00:19:06,880 --> 00:19:10,919 Speaker 1: rather than uh, you know, giving that power to a 355 00:19:10,960 --> 00:19:13,200 Speaker 1: board like the body like the e p A exactly. 356 00:19:13,440 --> 00:19:15,440 Speaker 1: Let let me ask quickly, how difficult is it to 357 00:19:15,480 --> 00:19:17,040 Speaker 1: go up against the goliath in the E t F 358 00:19:17,080 --> 00:19:19,359 Speaker 1: industry like black Rock, which does have some pretty strong 359 00:19:19,400 --> 00:19:21,680 Speaker 1: E s G and sustainability principle. But we'll find out. 360 00:19:21,720 --> 00:19:24,800 Speaker 1: It's it's it's we announced it yesterday. I will say 361 00:19:24,840 --> 00:19:26,400 Speaker 1: that the folks of the New York Stock Exchange told 362 00:19:26,440 --> 00:19:28,160 Speaker 1: me it was one of the strongest, if not strongest 363 00:19:28,240 --> 00:19:30,280 Speaker 1: launch of its kind in years that they had seen. 364 00:19:30,640 --> 00:19:32,439 Speaker 1: And I think that again, I don't take credit for that. 365 00:19:32,480 --> 00:19:34,800 Speaker 1: I think that this is this is a demand that 366 00:19:34,840 --> 00:19:38,159 Speaker 1: already exists amongst capital owners in this country, amongst everyday 367 00:19:38,200 --> 00:19:41,800 Speaker 1: citizens whose money is today being invested by large asset 368 00:19:41,800 --> 00:19:45,360 Speaker 1: managers who are delivering messages to the energy company's boardrooms 369 00:19:45,400 --> 00:19:47,960 Speaker 1: that most of those everyday citizens disagree with. So that's 370 00:19:47,960 --> 00:19:49,080 Speaker 1: what we have going for us is I think the 371 00:19:49,119 --> 00:19:51,840 Speaker 1: majority of capital owners, the majority of capital does not 372 00:19:51,920 --> 00:19:54,280 Speaker 1: want the black Rock message delivered to the boardrooms. They 373 00:19:54,320 --> 00:19:56,760 Speaker 1: want the Strive message, I believe, delivered to the boardrooms. Now. 374 00:19:56,840 --> 00:19:58,159 Speaker 1: The question is there's a lot of plumbing to do 375 00:19:58,240 --> 00:20:00,960 Speaker 1: to make sure that capital can actually flow through vehicles 376 00:20:01,000 --> 00:20:03,240 Speaker 1: like ours that actually speak on their behalf. It's up 377 00:20:03,280 --> 00:20:04,479 Speaker 1: to us to see if we can do it. All right, 378 00:20:04,640 --> 00:20:07,399 Speaker 1: Thanks so much for joining us here in our studios. 379 00:20:07,440 --> 00:20:11,359 Speaker 1: Here the fact. Ramiswanny, co founder and executive chairman of 380 00:20:11,480 --> 00:20:18,240 Speaker 1: Strive Asset Management. I'm not a gamer, Matt, you probably 381 00:20:18,280 --> 00:20:21,359 Speaker 1: know that. But our next guest is going to give 382 00:20:21,400 --> 00:20:22,720 Speaker 1: us a kind of lay of the land. What's going 383 00:20:22,720 --> 00:20:24,200 Speaker 1: on in the world. I used to be a big 384 00:20:24,240 --> 00:20:27,240 Speaker 1: gamer back in the day. I have. I've bought every 385 00:20:27,280 --> 00:20:32,680 Speaker 1: single Call of Duty release and spent hundreds of dollars 386 00:20:32,760 --> 00:20:35,439 Speaker 1: in the game up until what age, up until I 387 00:20:35,520 --> 00:20:40,240 Speaker 1: had a baby, which was October. That's when I stopped 388 00:20:40,240 --> 00:20:43,760 Speaker 1: putting in three to four hours the world. You're forty 389 00:20:43,800 --> 00:20:47,000 Speaker 1: eight years of age, and but I will play until 390 00:20:47,040 --> 00:20:50,680 Speaker 1: the end of my life. I love playing called. Mark Alfinbain, 391 00:20:50,800 --> 00:20:54,240 Speaker 1: CEO of X one e Sports, joins us. Mark, give 392 00:20:54,320 --> 00:20:56,439 Speaker 1: us a sense of kind of where we are in 393 00:20:56,480 --> 00:21:00,520 Speaker 1: the gaming market trends, you know, kind of prependemic, going 394 00:21:00,520 --> 00:21:04,000 Speaker 1: into the pandemic and now coming out of the pandemic. Yeah, 395 00:21:04,040 --> 00:21:06,160 Speaker 1: thanks for having me here today and just going back, 396 00:21:06,200 --> 00:21:08,360 Speaker 1: if you held onto some of those video games you're 397 00:21:08,359 --> 00:21:11,800 Speaker 1: talking about, they may actually be worth some money right now. 398 00:21:12,240 --> 00:21:15,480 Speaker 1: A lot of these video games self for like thousands 399 00:21:15,480 --> 00:21:17,120 Speaker 1: of dollars on eBay, so you might want to hold 400 00:21:17,160 --> 00:21:21,639 Speaker 1: onto the I've still got Duke Newcomb um for the 401 00:21:21,760 --> 00:21:24,600 Speaker 1: Nintendo sixty four. I've still got Kid Chameleon, which is 402 00:21:24,600 --> 00:21:27,280 Speaker 1: one of my all time favorite games um as well 403 00:21:27,320 --> 00:21:31,520 Speaker 1: as obviously all the Mario titles. YEA, keep from a 404 00:21:31,600 --> 00:21:34,680 Speaker 1: good condition and pass them down. But yeah, the the 405 00:21:34,800 --> 00:21:38,160 Speaker 1: you know, the industry really significantly increased. If we looked 406 00:21:38,160 --> 00:21:41,680 Speaker 1: at the global value of the industry, just before COVID 407 00:21:42,080 --> 00:21:44,480 Speaker 1: in around two thousand nineteen, the industry was around a 408 00:21:44,520 --> 00:21:48,040 Speaker 1: hundred and thirty billion dollar industry, and by about two 409 00:21:48,600 --> 00:21:50,639 Speaker 1: one it had grown to a hundred and eighty billion 410 00:21:50,680 --> 00:21:54,520 Speaker 1: dollar industry. As you could imagine, um generations of people 411 00:21:54,600 --> 00:21:57,040 Speaker 1: were at home and we're you know, spending a lot 412 00:21:57,080 --> 00:21:59,360 Speaker 1: of time doing things like you know, looking at TikTok 413 00:21:59,480 --> 00:22:03,960 Speaker 1: videos and playing video games. So it generated a significant, uh, 414 00:22:04,000 --> 00:22:08,560 Speaker 1: you know, sustainable bump for overall video game usage. I 415 00:22:08,600 --> 00:22:11,159 Speaker 1: have to say, during the pandemic, I got this um 416 00:22:11,280 --> 00:22:14,280 Speaker 1: high school friends chat group and we're all, you know, 417 00:22:16,680 --> 00:22:18,840 Speaker 1: some of my buddies were paying like a grand for 418 00:22:18,880 --> 00:22:22,439 Speaker 1: a Microsoft Xbox or for the PlayStation five because you 419 00:22:22,440 --> 00:22:25,720 Speaker 1: couldn't just you couldn't find them anywhere. Is that demand? 420 00:22:25,800 --> 00:22:30,479 Speaker 1: Has that fallen and has the supply caught up it? Actually, 421 00:22:30,520 --> 00:22:33,240 Speaker 1: interestingly it hasn't. So the you know, if you can 422 00:22:33,320 --> 00:22:36,480 Speaker 1: find a PlayStation five right now, that's something you may 423 00:22:36,520 --> 00:22:38,400 Speaker 1: also want to want to get your hands on. They've 424 00:22:38,440 --> 00:22:42,480 Speaker 1: been very very elusive to find. Probably last year, I 425 00:22:42,520 --> 00:22:45,600 Speaker 1: would say we're one of the largest Christmas gifts out there, 426 00:22:45,640 --> 00:22:48,320 Speaker 1: if you can, if you can get them. But between 427 00:22:48,400 --> 00:22:52,159 Speaker 1: the consoles, the other thing really moving up on popularity 428 00:22:52,400 --> 00:22:56,840 Speaker 1: is the virtual reality gaming we're seeing with the Oculus Quest, 429 00:22:57,240 --> 00:22:59,800 Speaker 1: and that's almost like the next revolution of gaming as 430 00:22:59,800 --> 00:23:03,320 Speaker 1: the aiming industry reinvents itself. Can you play legit games 431 00:23:03,320 --> 00:23:07,040 Speaker 1: with that? I mean can you really, um have a 432 00:23:07,080 --> 00:23:10,600 Speaker 1: first person shooter that works well with the oculus there 433 00:23:10,600 --> 00:23:13,160 Speaker 1: are you know, there's a game up there called Population One, 434 00:23:13,320 --> 00:23:16,480 Speaker 1: which is a multiplayer game. UM and it's really the 435 00:23:16,520 --> 00:23:20,080 Speaker 1: new form of social you know, kind of social communication. 436 00:23:20,119 --> 00:23:23,119 Speaker 1: I would say, jumping on these multiplayer games, especially if 437 00:23:23,160 --> 00:23:26,560 Speaker 1: you could imagine you're in the same virtual reality environment 438 00:23:27,080 --> 00:23:29,320 Speaker 1: and your friends are, you know, people around the world. 439 00:23:29,359 --> 00:23:32,119 Speaker 1: It's it's a really incredible experience. It's it's come a 440 00:23:32,119 --> 00:23:34,840 Speaker 1: little bit since the days of Atari in the early eighties. 441 00:23:34,840 --> 00:23:37,080 Speaker 1: I would say, I gotta say that's how I mean. 442 00:23:37,119 --> 00:23:40,760 Speaker 1: I've I was always into Atari and Nintendo and Sega. 443 00:23:40,840 --> 00:23:43,560 Speaker 1: But when I first got a job and moved to 444 00:23:43,600 --> 00:23:46,200 Speaker 1: Germany out of college, all my friends were scattered around 445 00:23:46,240 --> 00:23:48,600 Speaker 1: the world and we couldn't really afford to call each other. 446 00:23:49,000 --> 00:23:51,320 Speaker 1: So what we did is we all got xboxes, we 447 00:23:51,359 --> 00:23:53,960 Speaker 1: all got Halo, and we would just sit in Halo 448 00:23:54,359 --> 00:23:57,680 Speaker 1: in the chat, you know, and like shooting at each other. Well, 449 00:23:57,680 --> 00:24:00,480 Speaker 1: it's also incredibly if you think about during COVID couldn't 450 00:24:00,520 --> 00:24:04,240 Speaker 1: really see people. People were are restricted, especially in certain 451 00:24:04,240 --> 00:24:06,760 Speaker 1: parts of the world, and it's really was the only 452 00:24:06,800 --> 00:24:09,639 Speaker 1: way to feel like you were with people during this time, 453 00:24:09,960 --> 00:24:12,719 Speaker 1: which probably is the reason why the industry grew so 454 00:24:12,800 --> 00:24:16,119 Speaker 1: tremendously during that cult period. Alright, Mark, I see on 455 00:24:16,160 --> 00:24:18,240 Speaker 1: your CV that you have a bachelor's in business from 456 00:24:18,240 --> 00:24:21,239 Speaker 1: the University of Manitoba. And to be honest to just 457 00:24:21,280 --> 00:24:24,080 Speaker 1: to show my ignorance, I did not know where Manitoba was. 458 00:24:25,640 --> 00:24:27,280 Speaker 1: I know it's in Canada, but wearing Canada. So I 459 00:24:27,320 --> 00:24:29,040 Speaker 1: go to my Google Maps. It's kind of right smack 460 00:24:29,040 --> 00:24:32,840 Speaker 1: in the middle of Canada. It's home to Winnipeg and 461 00:24:32,880 --> 00:24:36,320 Speaker 1: it's also home to Lake Winnipeg. Do people kind of 462 00:24:36,400 --> 00:24:40,320 Speaker 1: is that a busy like summer place to go, like Winnipeg. Yeah, yeah, 463 00:24:40,320 --> 00:24:42,600 Speaker 1: if you're if you're living in Winnipeg right now, chances 464 00:24:42,680 --> 00:24:45,520 Speaker 1: you would not be in your home during the summertime. 465 00:24:45,560 --> 00:24:47,480 Speaker 1: You're going to be at one of the lakes. Lake 466 00:24:47,480 --> 00:24:50,600 Speaker 1: Winnipeg is a nice place called Grand Beach Um also 467 00:24:50,640 --> 00:24:56,280 Speaker 1: a home actually of the NHL's Winnipeg jeff A Story franchise. 468 00:24:56,680 --> 00:24:58,639 Speaker 1: But the one thing I would say about Winnipeg, I 469 00:24:58,640 --> 00:25:02,600 Speaker 1: think it might literally be the coldest place in the world, 470 00:25:02,600 --> 00:25:08,000 Speaker 1: with the population of over five thousand people. I heard Philip, Well, 471 00:25:08,200 --> 00:25:10,320 Speaker 1: so when you guys, have your fifteen minutes of summer. 472 00:25:10,680 --> 00:25:13,679 Speaker 1: You've got to get out to Lake Winnipeg. It is 473 00:25:13,720 --> 00:25:16,480 Speaker 1: so I think it's literally three months and you're really 474 00:25:16,560 --> 00:25:20,240 Speaker 1: maximizing that time. So a lot of out there barbecues. Um, 475 00:25:20,280 --> 00:25:22,520 Speaker 1: you do get de sensipized with the cold a little bit. 476 00:25:22,600 --> 00:25:25,320 Speaker 1: So if you come anywhere south of the border, winter 477 00:25:25,480 --> 00:25:28,800 Speaker 1: is like summer too. All right, we gotta get you 478 00:25:28,840 --> 00:25:30,400 Speaker 1: back on mar because I want to know about the 479 00:25:30,400 --> 00:25:33,399 Speaker 1: the next sort of evolutions that are coming in the 480 00:25:33,400 --> 00:25:35,000 Speaker 1: gaming industry. But we don't have any more time. So 481 00:25:35,040 --> 00:25:38,440 Speaker 1: Mark elfen Bind, their CEO of x one E Sports, 482 00:25:40,520 --> 00:25:42,760 Speaker 1: do a remote in Manitoba. The tick, yeah, we should 483 00:25:42,760 --> 00:25:44,399 Speaker 1: do that. We should go up there. The ticker is 484 00:25:44,720 --> 00:25:47,840 Speaker 1: this is on the Canadian Stock Exchange X one so 485 00:25:48,160 --> 00:25:51,760 Speaker 1: x O n E. That's some cool stuff. So yeah, 486 00:25:51,800 --> 00:25:53,440 Speaker 1: I want to get to the sports next time we 487 00:25:53,520 --> 00:25:59,160 Speaker 1: chat with them, because that's actually big business there. We're 488 00:25:59,160 --> 00:26:01,000 Speaker 1: gonna talk about some this near and dear to my 489 00:26:01,080 --> 00:26:04,960 Speaker 1: hard pol And I'm pretty excited about the story. Um, 490 00:26:05,000 --> 00:26:07,840 Speaker 1: it's probably a big deal for you too, being a 491 00:26:07,880 --> 00:26:11,080 Speaker 1: calms guy. Um, but the reporter we're gonna bring in 492 00:26:11,160 --> 00:26:15,679 Speaker 1: he he dissed me pretty hard twice yesterday. Jerry Smith 493 00:26:15,720 --> 00:26:17,840 Speaker 1: is a media reporter for Bloomberg News. One of them. 494 00:26:17,840 --> 00:26:24,359 Speaker 1: He wrote the story about CBS and NBC vying for 495 00:26:24,680 --> 00:26:29,080 Speaker 1: the Big Ten um getting it from ESPN. And Jerry, 496 00:26:29,520 --> 00:26:35,000 Speaker 1: you referred to the Buckeyes as Ohio State University, but 497 00:26:35,160 --> 00:26:38,320 Speaker 1: you know it's the Ohio State University. Boy, And I 498 00:26:38,359 --> 00:26:43,160 Speaker 1: can only imagine you did this because you're a Northwestern guy. Yeah. 499 00:26:43,240 --> 00:26:45,960 Speaker 1: I just wanted to apologize personally to you for that 500 00:26:46,119 --> 00:26:49,560 Speaker 1: and and I really do hope you forgive me. I 501 00:26:49,600 --> 00:26:52,920 Speaker 1: even messaged you and you didn't message back. Busy guy. 502 00:26:53,000 --> 00:26:56,399 Speaker 1: He's he's got big media moguls. He talks to Jerry 503 00:26:56,440 --> 00:26:59,439 Speaker 1: to me, the news was here the Big ten. You know, 504 00:27:00,320 --> 00:27:04,160 Speaker 1: Big ten has been on ESPN for a very long time, 505 00:27:04,800 --> 00:27:07,560 Speaker 1: and the ESPN kind of walked away. That's what shocked me. 506 00:27:07,680 --> 00:27:11,840 Speaker 1: What's going on there? Yeah, so they walked away from 507 00:27:11,840 --> 00:27:14,439 Speaker 1: the bidding, and it's it's a big deal because this 508 00:27:14,520 --> 00:27:16,720 Speaker 1: is a relationship that ESPN has had with the Big 509 00:27:16,760 --> 00:27:20,679 Speaker 1: Tent for about four decades UM, and the price just 510 00:27:20,760 --> 00:27:23,960 Speaker 1: got too high for them. Um. So what you know, 511 00:27:24,000 --> 00:27:28,080 Speaker 1: what we expect to see now is that Big ten sports, 512 00:27:28,520 --> 00:27:31,840 Speaker 1: with college football being the big draw, are going to 513 00:27:31,960 --> 00:27:35,480 Speaker 1: be on Fox, CBS, and NBC. Fox is going to 514 00:27:35,560 --> 00:27:38,520 Speaker 1: have that noon window, CBS will have a three thirty window, 515 00:27:38,600 --> 00:27:42,200 Speaker 1: and and UM an NBC, which really to this point 516 00:27:42,320 --> 00:27:45,280 Speaker 1: is just mostly broadcast Notre Dame football, they'll have the 517 00:27:45,400 --> 00:27:49,159 Speaker 1: evening window in prime time. So, I mean, I've covered 518 00:27:49,200 --> 00:27:52,959 Speaker 1: the Walt Disney Company for decades from a financial analyst perspective, 519 00:27:52,760 --> 00:27:56,120 Speaker 1: I I can't recall them walking away from too many 520 00:27:56,640 --> 00:28:00,040 Speaker 1: marquee events. Now the Big ten here, we've got a 521 00:28:00,240 --> 00:28:02,240 Speaker 1: cricket league, which I know that's a big fan of 522 00:28:02,680 --> 00:28:05,600 Speaker 1: in India. I'm sorry, the India Cricket League. Um they 523 00:28:05,640 --> 00:28:09,119 Speaker 1: walked away from that? Is? Well? Here is it? Are 524 00:28:09,160 --> 00:28:13,880 Speaker 1: things changing at ESPN where they tightening their belts? Yeah, well, 525 00:28:13,880 --> 00:28:16,320 Speaker 1: I think a couple of things are happening. You. You're right. 526 00:28:16,440 --> 00:28:20,119 Speaker 1: They are under pressure from Wall Street to UM you know, 527 00:28:20,200 --> 00:28:22,919 Speaker 1: show more profits, particularly in streaming, and we saw that 528 00:28:22,960 --> 00:28:25,679 Speaker 1: in UM some of the moves they're making, uh in 529 00:28:25,720 --> 00:28:30,560 Speaker 1: their earnings yesterday where they're raising prices for their streaming services. Uh. 530 00:28:30,680 --> 00:28:33,680 Speaker 1: So they are being a little more selective about what 531 00:28:33,840 --> 00:28:36,560 Speaker 1: type of sports rights. Uh they go after and as 532 00:28:36,600 --> 00:28:39,240 Speaker 1: you know, sports rights to keep getting more expensive. Uh. 533 00:28:39,320 --> 00:28:42,080 Speaker 1: The other thing to think about is ESPN is still 534 00:28:42,600 --> 00:28:44,960 Speaker 1: has a lot of sports rights, and if you think 535 00:28:45,000 --> 00:28:48,880 Speaker 1: about college they still have. They actually going to take 536 00:28:48,920 --> 00:28:51,840 Speaker 1: over the SEC and a couple of years from CS 537 00:28:52,280 --> 00:28:55,320 Speaker 1: and that's that's huge. I mean, that's arguably more popular 538 00:28:55,360 --> 00:28:57,719 Speaker 1: than the Big Ten in terms of college football. And 539 00:28:57,720 --> 00:28:59,440 Speaker 1: then you've got you know, they have the rights to 540 00:28:59,440 --> 00:29:01,959 Speaker 1: the a c S, the Big Twelve, the Pack twelve, 541 00:29:02,520 --> 00:29:05,520 Speaker 1: which are going to be renewing renegotiating their rights soon. 542 00:29:05,720 --> 00:29:09,280 Speaker 1: So I would not say that ESPN is walking away 543 00:29:09,280 --> 00:29:12,560 Speaker 1: from college sports. They're very much uh still a major 544 00:29:12,640 --> 00:29:16,400 Speaker 1: college sports broadcaster. But they did decide that the Big 545 00:29:16,440 --> 00:29:18,640 Speaker 1: Ten is going to be too um, you know, just 546 00:29:18,680 --> 00:29:21,479 Speaker 1: too much too expenses for them. How about just broadly 547 00:29:21,520 --> 00:29:23,680 Speaker 1: speaking about sports rights fees, Jerry, you can you cover 548 00:29:23,720 --> 00:29:26,160 Speaker 1: a lot of these all these big media companies with 549 00:29:26,240 --> 00:29:30,600 Speaker 1: court cutting at all and streaming taking a bigger percentage 550 00:29:30,600 --> 00:29:35,400 Speaker 1: of viewership. How did the big media companies justify spending 551 00:29:36,000 --> 00:29:39,360 Speaker 1: ever increasing amounts on sports rights when their audience is 552 00:29:39,400 --> 00:29:43,440 Speaker 1: really in decline because of court cutting. Yeah, I mean, 553 00:29:43,560 --> 00:29:45,960 Speaker 1: I think we're the media companies are really going to 554 00:29:46,040 --> 00:29:48,800 Speaker 1: start to feel the squeeze here going forward. I mean, 555 00:29:48,840 --> 00:29:51,560 Speaker 1: on one hand, they're trying to protect the cable bundle 556 00:29:51,840 --> 00:29:55,680 Speaker 1: and live sports is really the biggest reason why people 557 00:29:55,720 --> 00:29:58,760 Speaker 1: are still subscribing to cable. But as you point out 558 00:29:58,840 --> 00:30:03,920 Speaker 1: that there's cable subscriptions are really um. Cord cutting is accelerating, 559 00:30:04,120 --> 00:30:07,480 Speaker 1: and the fees that these media companies get from cable 560 00:30:07,520 --> 00:30:10,400 Speaker 1: subscribers is continuing to go down at the same time 561 00:30:10,440 --> 00:30:13,080 Speaker 1: that they're paying more and more for these sports rights. 562 00:30:13,200 --> 00:30:16,080 Speaker 1: Uh So, yeah, it's um. That's part of why you're 563 00:30:16,080 --> 00:30:18,479 Speaker 1: starting to see companies like ESPN be a little more 564 00:30:18,520 --> 00:30:22,440 Speaker 1: selective because the money from the cable bundle UM is 565 00:30:22,480 --> 00:30:25,840 Speaker 1: not supporting it's not going to support these ever escalating 566 00:30:25,920 --> 00:30:28,080 Speaker 1: rights fees the way they used to. It hurts me 567 00:30:28,160 --> 00:30:32,160 Speaker 1: to think of the SEC, well just in general, but 568 00:30:32,240 --> 00:30:36,360 Speaker 1: as a better, more popular football company. It's close. No, 569 00:30:36,560 --> 00:30:39,880 Speaker 1: it's I think it's it's not good what's happening. The 570 00:30:39,920 --> 00:30:42,440 Speaker 1: Big Town was three and three against the SEC last season. 571 00:30:43,360 --> 00:30:45,280 Speaker 1: But I mean, Jerry, one of the things that we've 572 00:30:45,280 --> 00:30:48,920 Speaker 1: seen is you know, these super the expansion Jerry, how 573 00:30:49,000 --> 00:30:51,480 Speaker 1: how how much were the realignment really so you've got 574 00:30:51,520 --> 00:30:53,360 Speaker 1: USC and U c l A going into the big 575 00:30:53,480 --> 00:30:56,480 Speaker 1: tent exactly. And I mean it just kind of says, hey, Jerry, 576 00:30:56,520 --> 00:31:01,000 Speaker 1: you're awake Forest undergrad. Like if you're the SEC for football, 577 00:31:01,040 --> 00:31:03,400 Speaker 1: You're like, well, if I'm not in the SEC and 578 00:31:03,440 --> 00:31:07,160 Speaker 1: I'm not in the Big Ten, where am I. I 579 00:31:07,200 --> 00:31:12,040 Speaker 1: think we're seeing a real consolidation in both UM college 580 00:31:12,280 --> 00:31:15,280 Speaker 1: sports and college sports broadcasting. I think what you're starting 581 00:31:15,280 --> 00:31:17,960 Speaker 1: to see now is that the Big Ten and the 582 00:31:18,120 --> 00:31:22,920 Speaker 1: SEC are the super conferences, and ESPN and Fox are 583 00:31:23,440 --> 00:31:25,560 Speaker 1: the broadcasters that have the rights. I mean, you know, 584 00:31:25,600 --> 00:31:28,440 Speaker 1: Fox has UM, you know, part owner of a Big 585 00:31:28,440 --> 00:31:31,800 Speaker 1: ten network, and they've got UM They've renewed their Big 586 00:31:31,800 --> 00:31:34,920 Speaker 1: Ten rights deal. And then ESPN as as chose in 587 00:31:34,920 --> 00:31:37,720 Speaker 1: the SEC, so um, you know, and we I think 588 00:31:37,720 --> 00:31:41,000 Speaker 1: we're going to start to see more schools that continue 589 00:31:41,040 --> 00:31:44,480 Speaker 1: to go towards these bigger super conferences and UM it's 590 00:31:44,480 --> 00:31:46,880 Speaker 1: really a rivalry that a lot of people feel like 591 00:31:47,040 --> 00:31:51,360 Speaker 1: between ESPN and Fox here alright. So I mean I 592 00:31:51,440 --> 00:31:54,000 Speaker 1: think that the question for a lot of folks is 593 00:31:54,000 --> 00:31:56,000 Speaker 1: is it you know, if I'm a I don't know, 594 00:31:56,320 --> 00:31:59,040 Speaker 1: the University of Colorado, If I'm Awake Force or even 595 00:31:59,040 --> 00:32:01,640 Speaker 1: a Duke. I mean, it just seems like if I'm 596 00:32:01,640 --> 00:32:05,400 Speaker 1: not in one of these big power power conferences, I'm 597 00:32:05,400 --> 00:32:07,520 Speaker 1: going to risk out on some of the losing the 598 00:32:07,520 --> 00:32:09,880 Speaker 1: growth in the TV money which is kind of driving 599 00:32:09,960 --> 00:32:12,840 Speaker 1: all of this. Um. I mean to put USC and 600 00:32:12,960 --> 00:32:14,920 Speaker 1: U c l A to leave that Packed twelve or 601 00:32:14,920 --> 00:32:18,400 Speaker 1: Pack ten, whatever it's called, it just seems sacrilege to me. 602 00:32:18,560 --> 00:32:20,800 Speaker 1: And you're not gonna but it's all about the money, yeah, 603 00:32:20,920 --> 00:32:23,360 Speaker 1: to eat TV money. So Jerry's just a trend that's 604 00:32:23,360 --> 00:32:26,320 Speaker 1: gonna continue. Do you think. I think the big test 605 00:32:26,360 --> 00:32:30,600 Speaker 1: will be the next big college right sports rights deal, 606 00:32:30,600 --> 00:32:32,280 Speaker 1: and that's going to be the Pack twelve. And then 607 00:32:32,360 --> 00:32:34,360 Speaker 1: I think after that will be the Big twelve and 608 00:32:34,400 --> 00:32:37,680 Speaker 1: we'll have to see, um, you know, whether the big 609 00:32:37,680 --> 00:32:42,560 Speaker 1: broadcasters like ESPN are are willing to u spend um 610 00:32:42,880 --> 00:32:46,360 Speaker 1: more and more money for these conferences that have lost 611 00:32:46,480 --> 00:32:49,480 Speaker 1: some really popular teams. And then and then schools like 612 00:32:49,560 --> 00:32:52,280 Speaker 1: Duke or Wake Forest aren't going to be able to 613 00:32:52,320 --> 00:32:54,440 Speaker 1: spend as much money on the program, right. So I mean, 614 00:32:54,480 --> 00:32:56,600 Speaker 1: I mean, at least Duke has the hoops, which really 615 00:32:56,680 --> 00:33:00,239 Speaker 1: drives the athletics. Well, wait for great football team they 616 00:33:00,280 --> 00:33:02,280 Speaker 1: had for such how many people go there? Like a 617 00:33:02,320 --> 00:33:04,160 Speaker 1: fifty people go to week for Erry Head Wait for 618 00:33:04,280 --> 00:33:06,160 Speaker 1: you got thirty seconds Stary to give us breakdown wake 619 00:33:06,200 --> 00:33:09,840 Speaker 1: Forest football? Why are they so good? You know, you'd 620 00:33:09,840 --> 00:33:12,000 Speaker 1: have to have somebody smarter than me. But I feel 621 00:33:12,040 --> 00:33:15,080 Speaker 1: like wake Forest has always um hunched above its weight. 622 00:33:15,120 --> 00:33:17,000 Speaker 1: I mean when I was there, there were four thousand 623 00:33:17,120 --> 00:33:20,280 Speaker 1: undergrads and uh I was there when Chris Paul was there. Yeah, 624 00:33:20,320 --> 00:33:23,280 Speaker 1: we had a nice run in basketball. Um so yeah, 625 00:33:23,360 --> 00:33:26,720 Speaker 1: the conference is still is still strong. But um, you know, 626 00:33:26,760 --> 00:33:29,200 Speaker 1: I think we're seeing with these sports right deals at 627 00:33:29,200 --> 00:33:32,160 Speaker 1: Big ten and SEC really dominate, all right, Jerry good, 628 00:33:32,160 --> 00:33:35,680 Speaker 1: good stuff. Jerry Smith excellent media reporter for Bloomberg News, 629 00:33:35,800 --> 00:33:40,640 Speaker 1: phoning it in. I will note today thanks for listening 630 00:33:40,680 --> 00:33:44,160 Speaker 1: to the Bloomberg Markets podcast. You can subscribe and listen 631 00:33:44,200 --> 00:33:48,480 Speaker 1: to interviews at Apple Podcasts or whatever podcast platform you prefer. 632 00:33:48,880 --> 00:33:52,840 Speaker 1: I'm Matt Miller. I'm on Twitter at Matt Miller three. 633 00:33:53,200 --> 00:33:55,760 Speaker 1: Pet On false Sweeney I'm on Twitter at pt Sweeney. 634 00:33:55,800 --> 00:33:58,479 Speaker 1: Before the podcast, you can always catch us worldwide at 635 00:33:58,480 --> 00:34:00,400 Speaker 1: Bloomberg Radio four