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 crows, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,560 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,680 Speaker 1: at Bloomberg dot com slash podcast. All right, let's get 7 00:00:22,720 --> 00:00:25,959 Speaker 1: to our Big Take story today talks about commodities. And 8 00:00:26,000 --> 00:00:28,080 Speaker 1: you put up the g l c O screen on 9 00:00:28,080 --> 00:00:31,159 Speaker 1: the Bloomberg Terminolts of Global Commodities page and there's just 10 00:00:31,360 --> 00:00:34,279 Speaker 1: a lot of green on their commodities on a year. 11 00:00:34,320 --> 00:00:37,080 Speaker 1: Today basis up a big time. Not just oil, We're 12 00:00:37,080 --> 00:00:40,880 Speaker 1: talking all kinds of commodities. Megan Derris and Albury, agricultural 13 00:00:40,880 --> 00:00:43,280 Speaker 1: reporter for Bloomberg News, joins us with a big take 14 00:00:43,400 --> 00:00:47,200 Speaker 1: story today talking about the global market for grain, corn 15 00:00:47,240 --> 00:00:50,880 Speaker 1: and other commodities amid the Ukraine war. Boy, it seems 16 00:00:50,920 --> 00:00:54,600 Speaker 1: like the Ukraine situation is really exacerbating what had already 17 00:00:54,680 --> 00:00:58,800 Speaker 1: been kind of a commodity inflation story. What do you have, Megan, Yeah, 18 00:00:58,840 --> 00:01:02,400 Speaker 1: that's right. Um, So, you know, ever since freshest attack 19 00:01:02,480 --> 00:01:06,280 Speaker 1: began on Ukraine, it supports have been effectively shut. UM. 20 00:01:06,360 --> 00:01:09,039 Speaker 1: That's where most of its grain would exit, loaded on 21 00:01:09,120 --> 00:01:13,199 Speaker 1: big targo ships headed for Asia, Europe and elsewhere. UM. Now, 22 00:01:13,720 --> 00:01:15,800 Speaker 1: as the top of our story shows, you know, they 23 00:01:16,000 --> 00:01:19,680 Speaker 1: they've resorted to transporting some of those crops out by rail. 24 00:01:19,840 --> 00:01:22,360 Speaker 1: So it's kind of you know, carving routes that we 25 00:01:22,400 --> 00:01:25,720 Speaker 1: haven't seen in the past. UM. But granted that's you know, 26 00:01:25,800 --> 00:01:28,920 Speaker 1: pretty slow going, it's expensive, the volumes are much lower 27 00:01:28,959 --> 00:01:32,640 Speaker 1: than normal, and even at the border with the EU. UM. 28 00:01:32,680 --> 00:01:36,880 Speaker 1: You know, the train trucks are different sizes, so between 29 00:01:36,959 --> 00:01:39,679 Speaker 1: Ukraine and Romania, for example, So it causes a lot 30 00:01:39,720 --> 00:01:45,880 Speaker 1: of um challenges for exporters. How fungible is wheat? UM? 31 00:01:45,920 --> 00:01:50,760 Speaker 1: I mean we I assume farm more than enough wheat 32 00:01:50,840 --> 00:01:54,000 Speaker 1: and corn in this country, UM, not to have to 33 00:01:54,040 --> 00:01:58,520 Speaker 1: worry about any kind of imports from Ukraine halfway across 34 00:01:58,720 --> 00:02:02,760 Speaker 1: across the world. UM. How come we're seeing huge jumps 35 00:02:02,800 --> 00:02:06,040 Speaker 1: here for wheat as well. Yeah, so that would be 36 00:02:06,560 --> 00:02:08,760 Speaker 1: true for the U S certainly. You know they're they're 37 00:02:08,760 --> 00:02:12,520 Speaker 1: pretty self sufficient in grains. UM. But you know, these 38 00:02:12,520 --> 00:02:16,320 Speaker 1: really are our global markets and a country UM like 39 00:02:16,360 --> 00:02:19,880 Speaker 1: the U S or UM like the U EU are 40 00:02:19,919 --> 00:02:24,400 Speaker 1: you know exporters So um, if if Ukraine is effectively 41 00:02:24,520 --> 00:02:27,480 Speaker 1: gone or mostly gone from the world markets, um, there's 42 00:02:27,520 --> 00:02:30,280 Speaker 1: going to need to be alternative origins stepping up. Um. 43 00:02:30,280 --> 00:02:32,959 Speaker 1: As our story shows, you know, we're already seeing some 44 00:02:33,480 --> 00:02:37,679 Speaker 1: non traditional players enter the fray as well. UM. For example, India, 45 00:02:37,840 --> 00:02:42,040 Speaker 1: which typically isn't a very big wheat exporter at all, 46 00:02:42,160 --> 00:02:46,840 Speaker 1: is now selling record volumes all across Asia. Um. Their 47 00:02:46,880 --> 00:02:50,480 Speaker 1: their prices are usually uh, kind of too high, their 48 00:02:50,560 --> 00:02:53,120 Speaker 1: their government set prices. But now that the global market 49 00:02:53,120 --> 00:02:55,840 Speaker 1: has rallied so much, they've become competitive and are joining 50 00:02:55,880 --> 00:02:58,919 Speaker 1: the fray. To what can the American farmer do? Well? 51 00:02:58,919 --> 00:03:00,720 Speaker 1: What are we seeing from the American and farmer? They 52 00:03:00,880 --> 00:03:05,239 Speaker 1: changing the way they operate these days? Are they planning differently? 53 00:03:05,360 --> 00:03:08,200 Speaker 1: Are they stepping up production? What are we seeing there? 54 00:03:08,240 --> 00:03:10,960 Speaker 1: And by the way, Megan, she's a sparty Yes, I know. 55 00:03:12,360 --> 00:03:17,160 Speaker 1: So she's from the Great Midwest. And I mean, you know, 56 00:03:18,400 --> 00:03:20,840 Speaker 1: is there an American farmer? Ohio is the gateway to 57 00:03:20,880 --> 00:03:23,320 Speaker 1: the West, think the heart of it all? Is there 58 00:03:23,320 --> 00:03:27,600 Speaker 1: an American farmer? Or is it just like large corporations? Oh, 59 00:03:27,720 --> 00:03:30,360 Speaker 1: there's there's certainly an American farm or two. And just 60 00:03:30,120 --> 00:03:33,680 Speaker 1: to just to clarify, I from Michigan from wild I'm 61 00:03:33,760 --> 00:03:37,480 Speaker 1: from the great State of Okay. Great, but I appreciate 62 00:03:37,520 --> 00:03:40,480 Speaker 1: you as a Sparta because we both hate you have 63 00:03:40,720 --> 00:03:44,600 Speaker 1: m that's true U. So, um, yes, there certainly is, 64 00:03:44,680 --> 00:03:48,640 Speaker 1: you know, American farmers. And the one challenge with wheat is, 65 00:03:48,760 --> 00:03:52,160 Speaker 1: you know, um, pretty much in across the northern hemisphere. 66 00:03:52,200 --> 00:03:54,000 Speaker 1: So here in Europe where I am, and also in 67 00:03:54,040 --> 00:03:57,160 Speaker 1: the US, most of the wheat is sewn in autumn. 68 00:03:57,240 --> 00:03:59,360 Speaker 1: Um they plant it, it goes dormant for the winter 69 00:03:59,760 --> 00:04:02,200 Speaker 1: and starts growing again in the spring. So there's not 70 00:04:02,680 --> 00:04:05,480 Speaker 1: too much of a chance to really boost wheat plantings 71 00:04:05,480 --> 00:04:09,840 Speaker 1: at this stage. UM. Besides in the southern hemisphere, UM, 72 00:04:09,920 --> 00:04:11,560 Speaker 1: but in the U s as well. You know, one 73 00:04:11,560 --> 00:04:15,040 Speaker 1: of the challenges is input costs are really high. Costs 74 00:04:15,040 --> 00:04:18,120 Speaker 1: for fertilizer have been rising. We saw a usc A 75 00:04:18,279 --> 00:04:21,680 Speaker 1: plantings report last week that showed UM, US farmers are 76 00:04:21,680 --> 00:04:24,880 Speaker 1: actually going to cut back on corn plantings in favor 77 00:04:24,960 --> 00:04:27,640 Speaker 1: of of soybeans. UM. And the extent was kind of 78 00:04:27,640 --> 00:04:30,080 Speaker 1: a surprise to the market and has has kept grain 79 00:04:30,279 --> 00:04:34,640 Speaker 1: prices supported here going forward. So uh, you know there 80 00:04:34,680 --> 00:04:37,680 Speaker 1: there is rising crop prices, but farmers are facing challenges 81 00:04:37,720 --> 00:04:41,080 Speaker 1: on the input side as well. So what is the 82 00:04:41,120 --> 00:04:45,440 Speaker 1: expectation the market megan about any output from Ukraine? Is it? 83 00:04:45,760 --> 00:04:48,960 Speaker 1: Are we assuming zero? Are we assuming kind of how 84 00:04:49,000 --> 00:04:51,920 Speaker 1: we're thinking about that? Um, you know, analysts rangers are 85 00:04:51,960 --> 00:04:54,719 Speaker 1: are pretty wide at this point. Uh, it's unlikely to 86 00:04:54,720 --> 00:04:58,520 Speaker 1: be zero. You know. For example, UM, the CEO of 87 00:04:58,600 --> 00:05:02,640 Speaker 1: Colonel was on bloom TV earlier today. He was expecting 88 00:05:03,120 --> 00:05:07,200 Speaker 1: that Ukraine would produce something like a maximum of sixty 89 00:05:07,240 --> 00:05:09,800 Speaker 1: million tons of grains and oils this year. But that 90 00:05:09,839 --> 00:05:12,640 Speaker 1: compares to a record over a hundred million tons last year. 91 00:05:12,839 --> 00:05:15,599 Speaker 1: So it is a significant cutback. But the supply you know, 92 00:05:15,680 --> 00:05:18,599 Speaker 1: could still be there. Um, the challenges you know that 93 00:05:18,800 --> 00:05:22,600 Speaker 1: there's still obviously, uh, a lot of difficulties. I mean 94 00:05:22,680 --> 00:05:26,440 Speaker 1: that the country is at war, there's um challenges securing diesel, 95 00:05:26,920 --> 00:05:30,599 Speaker 1: um fertilizer, you know, with with occupied land and UM. 96 00:05:30,640 --> 00:05:33,640 Speaker 1: Even depending on what they can harvest this season, the 97 00:05:33,720 --> 00:05:37,320 Speaker 1: challenge will still be what can they export? Um. You know, 98 00:05:37,480 --> 00:05:41,680 Speaker 1: Ukraine and in Russian wheat exports typically accelerate in the 99 00:05:41,720 --> 00:05:44,240 Speaker 1: middle of the year when the next wheat harvest come 100 00:05:44,279 --> 00:05:47,039 Speaker 1: in um if they can't do that as usual, that's 101 00:05:47,480 --> 00:05:49,919 Speaker 1: as our stories had from one analyst, that's kind of 102 00:05:49,920 --> 00:05:54,320 Speaker 1: when the world's wheat shortfalls could come more into focus. Alright, Megan, 103 00:05:54,520 --> 00:05:59,280 Speaker 1: really good stuff. We appreciate that. Megan Derison Albury, agricultural 104 00:05:59,360 --> 00:06:03,640 Speaker 1: purporter for Bloomberg News. The Big Take story talking about 105 00:06:03,680 --> 00:06:06,520 Speaker 1: the global market for grain, corns and other commodities amid 106 00:06:06,520 --> 00:06:08,719 Speaker 1: the Ukraine wore a big, big issue. You can read 107 00:06:08,720 --> 00:06:12,000 Speaker 1: more Bloomberg Big Take stories at Bloomberg dot com slash 108 00:06:12,080 --> 00:06:15,640 Speaker 1: Big Take or on the terminal and I Big Take go. 109 00:06:19,920 --> 00:06:22,320 Speaker 1: All right, let's talk about this market here. If you've 110 00:06:22,320 --> 00:06:24,480 Speaker 1: got some fresh money, what are you doing today? Yes, 111 00:06:25,200 --> 00:06:28,640 Speaker 1: a shot, I'll carry equity. Analyst of Brutuman Asset Management 112 00:06:28,720 --> 00:06:31,040 Speaker 1: joins us. Actually, thanks so much for taking the time here. 113 00:06:31,360 --> 00:06:33,279 Speaker 1: If I got some fresh equity, maybe I got a 114 00:06:33,279 --> 00:06:35,720 Speaker 1: little bit of a stimmy check that I haven't spent. 115 00:06:36,000 --> 00:06:38,880 Speaker 1: Where do I put it in the market? Thank you 116 00:06:38,880 --> 00:06:42,039 Speaker 1: guys for having me on. I mean definitely, you know, 117 00:06:42,160 --> 00:06:46,000 Speaker 1: we still recommend putting your money in the equity markets, 118 00:06:46,080 --> 00:06:48,560 Speaker 1: and for us, your long term investors, we're looking at, 119 00:06:48,640 --> 00:06:50,440 Speaker 1: you know, if there's a sell off you want to 120 00:06:50,440 --> 00:06:53,440 Speaker 1: look for high quality names, and you know, and those 121 00:06:53,520 --> 00:06:56,039 Speaker 1: kind of names that have high earning visibility and strong 122 00:06:56,120 --> 00:06:59,240 Speaker 1: underlying secular growth and a lot of uncertain times, be 123 00:06:59,320 --> 00:07:04,120 Speaker 1: like opportunities and healthcare especially like those ones that have 124 00:07:04,200 --> 00:07:07,880 Speaker 1: really strong underlying secular growth in women's help, so an 125 00:07:08,000 --> 00:07:11,120 Speaker 1: organ On which is a pharmaceutical company that was found 126 00:07:11,160 --> 00:07:13,880 Speaker 1: off on Mark or pro Jenny which is a fertility 127 00:07:13,880 --> 00:07:16,680 Speaker 1: benefits manager, and as well as managed healthcare which is 128 00:07:16,840 --> 00:07:19,400 Speaker 1: United Healthcare that has a large scale and a lot 129 00:07:19,400 --> 00:07:24,640 Speaker 1: of population involvements into their medical advantage. Pray, can I 130 00:07:24,640 --> 00:07:28,200 Speaker 1: ask you about the midterm elections? Phil Orlando yesterday from 131 00:07:28,200 --> 00:07:30,840 Speaker 1: Federated Hermy was just telling us that you know, they 132 00:07:30,880 --> 00:07:34,680 Speaker 1: expect a good for the Market's not not a political commentary, 133 00:07:34,720 --> 00:07:37,360 Speaker 1: but a good outcome from the midterm elections in that 134 00:07:37,400 --> 00:07:42,720 Speaker 1: we won't see much Um. Uh, well, we'll see the 135 00:07:42,760 --> 00:07:44,800 Speaker 1: government set up so that they can't really do anything. 136 00:07:45,000 --> 00:07:48,800 Speaker 1: Gridlock is good, um, although maybe it's bad for society. 137 00:07:48,840 --> 00:07:53,640 Speaker 1: But uh is that does that play into it? All? Um? 138 00:07:53,760 --> 00:07:57,360 Speaker 1: Your picks? Because it strikes me that depending on the outcome, 139 00:07:57,880 --> 00:08:03,000 Speaker 1: you could have a very different um expectation for managed 140 00:08:03,000 --> 00:08:08,480 Speaker 1: healthcare I mean for us just like the population dynamics too. 141 00:08:08,600 --> 00:08:10,720 Speaker 1: You know, more and more people are getting older. You're 142 00:08:10,720 --> 00:08:12,960 Speaker 1: looking at more people moving into the sixty five plus 143 00:08:13,000 --> 00:08:15,880 Speaker 1: buckets UM and those people are going to be starting 144 00:08:15,880 --> 00:08:19,800 Speaker 1: to the eligible for their Medicare, Medicaid programs and all 145 00:08:19,920 --> 00:08:23,440 Speaker 1: those different features. So managed healthcare in general we see 146 00:08:23,440 --> 00:08:25,640 Speaker 1: a pickup on that end of you know, the the 147 00:08:25,880 --> 00:08:28,840 Speaker 1: hired spending for senior sixty five plus UM as they 148 00:08:28,880 --> 00:08:32,000 Speaker 1: started to get enrolled into these programs. UM that that 149 00:08:32,360 --> 00:08:34,320 Speaker 1: top line growth is going to pick up for managed 150 00:08:34,320 --> 00:08:38,600 Speaker 1: healthcare companies, and specifically large ones like Healthcare has that scale, 151 00:08:39,000 --> 00:08:41,600 Speaker 1: especially with a ship towards value based care to really 152 00:08:41,600 --> 00:08:44,360 Speaker 1: take advantage of the large scale that it has to 153 00:08:44,400 --> 00:08:46,679 Speaker 1: reduce this cost over a large number of people that 154 00:08:46,720 --> 00:08:51,360 Speaker 1: are coming into into the even rollness overall, we've got 155 00:08:51,360 --> 00:08:55,280 Speaker 1: earnings coming up. How much does corporate American need to 156 00:08:55,360 --> 00:08:58,000 Speaker 1: really deliver on the earnings front? What are you gonna 157 00:08:58,000 --> 00:09:01,600 Speaker 1: pay pay attention to? I mean, yes, do you want earning? 158 00:09:01,640 --> 00:09:03,839 Speaker 1: Summing up? You know, companies are able to maintain that 159 00:09:03,960 --> 00:09:05,880 Speaker 1: growth and their hard margins are really going to be 160 00:09:05,960 --> 00:09:08,600 Speaker 1: more in focus. You know, current effacts that Q one 161 00:09:08,880 --> 00:09:12,000 Speaker 1: twenty two estimated earnings growths around four point seven percent. 162 00:09:12,679 --> 00:09:14,320 Speaker 1: And but what we've seen is like, if you know 163 00:09:14,440 --> 00:09:16,640 Speaker 1: those are the you know, we're looking at the similar factors, 164 00:09:16,720 --> 00:09:19,439 Speaker 1: are they able to maintain um you know, their their 165 00:09:19,480 --> 00:09:22,160 Speaker 1: growth and their margins in general. And we've seen that 166 00:09:22,240 --> 00:09:26,400 Speaker 1: earning estimates really have been quite resilient despite a number 167 00:09:26,400 --> 00:09:29,880 Speaker 1: of astro headwinds that we've seen and based recently. Is 168 00:09:29,880 --> 00:09:33,840 Speaker 1: there a huge number of them, the inflation and geo 169 00:09:33,840 --> 00:09:38,480 Speaker 1: political risks and whatnot. But earning estimates combined with dividingde 170 00:09:38,520 --> 00:09:41,960 Speaker 1: of the stocks by plants, do uh doing a lot 171 00:09:41,960 --> 00:09:44,800 Speaker 1: of room for positive returns even if there's some level 172 00:09:44,880 --> 00:09:48,200 Speaker 1: of multiple contractions due to some risks here. UM So 173 00:09:48,320 --> 00:09:50,679 Speaker 1: for us, our long term view on the SMP five 174 00:09:50,720 --> 00:09:54,040 Speaker 1: hundreds remain strong with above average return potential and we 175 00:09:54,080 --> 00:09:57,800 Speaker 1: see through what do you think about the big tech companies, 176 00:09:57,960 --> 00:10:01,800 Speaker 1: the mega cap tech companies so widely held these days. 177 00:10:03,440 --> 00:10:06,040 Speaker 1: I mean, you know, you know, we've seen here some 178 00:10:06,280 --> 00:10:09,760 Speaker 1: talking about procession risks coming up with inverdi via cars. 179 00:10:09,800 --> 00:10:12,319 Speaker 1: Tech is an interesting place to be in UM your 180 00:10:12,600 --> 00:10:15,880 Speaker 1: large connegict cap companies, you know, especially ones with a 181 00:10:15,880 --> 00:10:19,320 Speaker 1: lot of subscription related growth that has that shows that 182 00:10:19,360 --> 00:10:22,920 Speaker 1: has has some much more visibility. UM like Adobe, for example, 183 00:10:23,880 --> 00:10:26,319 Speaker 1: intends to have these recurrent revity model that offers that 184 00:10:26,480 --> 00:10:28,600 Speaker 1: more top line visibility and it makes it easier to 185 00:10:28,600 --> 00:10:31,959 Speaker 1: trag growth. UM. So that's in Adobe and companies like 186 00:10:32,000 --> 00:10:34,959 Speaker 1: Amazon have that kind of feature and it's easier to see. 187 00:10:35,280 --> 00:10:40,240 Speaker 1: So those are still attractive names that we feel so shoddy. 188 00:10:40,240 --> 00:10:42,640 Speaker 1: We've got w T I cod oil still over hundred 189 00:10:42,679 --> 00:10:45,559 Speaker 1: dollars about a hundred three dollars, and it's had such 190 00:10:45,600 --> 00:10:52,679 Speaker 1: a great move. Has the energy play played out eighty again? 191 00:10:52,720 --> 00:10:55,080 Speaker 1: But it's hard to say, um, you know we have 192 00:10:55,120 --> 00:10:58,120 Speaker 1: there's verisic high of altility and sharply high you know, 193 00:10:58,200 --> 00:11:02,280 Speaker 1: higher oil prices. Uh, you know, going into more arms 194 00:11:02,280 --> 00:11:06,760 Speaker 1: their environment. Energy is probably a difficult sector to be 195 00:11:06,920 --> 00:11:11,240 Speaker 1: in UM with the level of all totally underlying it. UM. 196 00:11:11,280 --> 00:11:13,200 Speaker 1: That said, again, it's it's hard to say was exactly 197 00:11:13,200 --> 00:11:17,319 Speaker 1: gonna be driving it down immediately? But you know, we 198 00:11:17,400 --> 00:11:20,400 Speaker 1: have seen the fact that you know, these are star 199 00:11:20,559 --> 00:11:23,719 Speaker 1: part ll prices, you know, but you are continuing to 200 00:11:23,840 --> 00:11:26,680 Speaker 1: ride and the fact is tightening overall. So what we 201 00:11:26,840 --> 00:11:30,760 Speaker 1: expect is eventually I supply, you know, supply demand. If 202 00:11:30,800 --> 00:11:33,120 Speaker 1: you kind of eat up a little bit um that 203 00:11:33,240 --> 00:11:36,400 Speaker 1: should come back down. Actual, thanks so much for joining 204 00:11:36,480 --> 00:11:39,920 Speaker 1: us a shadow bell carry their equity analyst at Brewderman 205 00:11:40,360 --> 00:11:45,320 Speaker 1: Asset Management. Right now, I want to get over to 206 00:11:46,440 --> 00:11:49,680 Speaker 1: I feel like we're connected in some way. I think 207 00:11:49,720 --> 00:11:53,560 Speaker 1: so Matt Kramer, um from the National the National Security Leader, 208 00:11:53,679 --> 00:11:59,200 Speaker 1: Consumer and Retail and advisory partner at KPMG, must be 209 00:11:59,320 --> 00:12:01,840 Speaker 1: from the great at of Ohio, you know, I mean, Matt, 210 00:12:01,880 --> 00:12:03,599 Speaker 1: I'm just looking through not only do we have the 211 00:12:03,640 --> 00:12:06,439 Speaker 1: same first name, but um, I'm just looking through all 212 00:12:06,480 --> 00:12:10,080 Speaker 1: of your experience and a lot of it centers around 213 00:12:10,160 --> 00:12:13,400 Speaker 1: the heart of it all after you graduated from uh 214 00:12:13,520 --> 00:12:16,720 Speaker 1: Miami of Ohio. You have done so much charity work 215 00:12:16,800 --> 00:12:20,720 Speaker 1: there And I just one question, what is the Furniture 216 00:12:20,800 --> 00:12:25,959 Speaker 1: Bank of Central Ohio. Yeah it's uh it's no longer 217 00:12:26,040 --> 00:12:30,120 Speaker 1: a flyover state Ohio is here to stay. But yeah, 218 00:12:30,160 --> 00:12:33,120 Speaker 1: I um, I was on the board at the Furniture Bank, 219 00:12:33,280 --> 00:12:38,239 Speaker 1: um and many years and and uh great nonprofit organization 220 00:12:38,320 --> 00:12:41,160 Speaker 1: that serves people that are in need of furniture. And 221 00:12:41,240 --> 00:12:43,800 Speaker 1: then also currently at a Big Brothers Big Sisters. So 222 00:12:43,960 --> 00:12:47,679 Speaker 1: love connecting in the community. So men doing a lot 223 00:12:47,720 --> 00:12:51,960 Speaker 1: of mentoring then, um, which is which is great? I 224 00:12:52,000 --> 00:12:54,439 Speaker 1: think that kind of hands on charity work is so rewarding. 225 00:12:54,960 --> 00:12:57,640 Speaker 1: And a furniture bank, I guess then is like a 226 00:12:57,679 --> 00:13:01,800 Speaker 1: food bank. So edge a thought. Because you're in finance 227 00:13:02,559 --> 00:13:04,440 Speaker 1: and you were at the furniture bank, I thought maybe 228 00:13:04,440 --> 00:13:06,920 Speaker 1: it was like some sort of financial institution. But it's actually, 229 00:13:07,640 --> 00:13:12,200 Speaker 1: UM doing good. That's fantastic. UM. And you're from Ohio. 230 00:13:12,240 --> 00:13:17,959 Speaker 1: You must be from Ohio. Absolutely from Ohio. Alright, there's two. 231 00:13:19,480 --> 00:13:22,959 Speaker 1: It is the Ohio State University. I don't still don't 232 00:13:22,960 --> 00:13:25,520 Speaker 1: get it. I don't understand that. All right, So mat 233 00:13:25,679 --> 00:13:29,640 Speaker 1: talk to us about the metaverse? What is it to you? 234 00:13:29,800 --> 00:13:33,000 Speaker 1: Just described to our listeners what the metaverse means to 235 00:13:33,040 --> 00:13:34,680 Speaker 1: you and maybe maybe some of the clients that you 236 00:13:34,720 --> 00:13:39,319 Speaker 1: deal with. Yeah, it's it's amazing. You know. In my sector, 237 00:13:39,360 --> 00:13:42,680 Speaker 1: consumer and retail, everybody thought I heard you mentioned omni 238 00:13:42,800 --> 00:13:48,200 Speaker 1: early being omnipresent, but the omni channel they thought was maximizing, 239 00:13:48,280 --> 00:13:51,440 Speaker 1: you know, the digital and online mobile channels. But now 240 00:13:51,440 --> 00:13:55,440 Speaker 1: we've got this whole new um stratosphere, Web three, dot 241 00:13:55,440 --> 00:13:59,360 Speaker 1: O metaverse. UM, it's actually very exciting. For you know, 242 00:13:59,440 --> 00:14:03,200 Speaker 1: Brandon marketing enthusiasts, and in this sector creates a whole 243 00:14:03,200 --> 00:14:07,920 Speaker 1: new opportunity to express your brand. I think for consumers, UM, 244 00:14:08,080 --> 00:14:10,360 Speaker 1: you actually don't have to be yourself in the metaverse. 245 00:14:10,400 --> 00:14:12,920 Speaker 1: You can be your alter ego, you can be whoever 246 00:14:12,960 --> 00:14:15,160 Speaker 1: you want to be. So I think actually it's it's 247 00:14:15,160 --> 00:14:19,440 Speaker 1: pretty exciting, very broad based, and what companies are trying 248 00:14:19,440 --> 00:14:21,400 Speaker 1: to figure out now is just how do I engage? 249 00:14:21,440 --> 00:14:25,280 Speaker 1: But clearly from our survey we surveted thousand consumers, we 250 00:14:25,280 --> 00:14:29,240 Speaker 1: think that's extremely relevant, is UM. What you're finding is 251 00:14:29,320 --> 00:14:33,720 Speaker 1: the future generations are most passionate about engaging in the metaverse. 252 00:14:33,800 --> 00:14:38,600 Speaker 1: We found that of generations UM, gen y and millennials 253 00:14:38,640 --> 00:14:43,320 Speaker 1: are are very familiar in the mid eight UM and 254 00:14:43,400 --> 00:14:46,320 Speaker 1: certainly also the people that are that are engaging in 255 00:14:46,400 --> 00:14:51,160 Speaker 1: the metaverse. Also found that being friends UM in the 256 00:14:51,200 --> 00:14:53,840 Speaker 1: metaverse is about half of the people thought it was 257 00:14:53,920 --> 00:14:56,480 Speaker 1: just as good as in person, which kind of shocked me. 258 00:14:56,520 --> 00:14:59,640 Speaker 1: So we're getting some data that's telling us that this 259 00:15:00,480 --> 00:15:02,360 Speaker 1: this is probably going to be on a hockey stick. 260 00:15:03,000 --> 00:15:05,960 Speaker 1: I totally get it. You know, as someone who's played 261 00:15:06,000 --> 00:15:11,040 Speaker 1: grown up playing video games UM and well, so I 262 00:15:11,120 --> 00:15:14,280 Speaker 1: moved at a very young age to Berlin, and I 263 00:15:14,320 --> 00:15:17,640 Speaker 1: had friends who from Ohio who had moved to d 264 00:15:17,720 --> 00:15:21,040 Speaker 1: C and some who were in Paris. And at the time, 265 00:15:21,200 --> 00:15:24,520 Speaker 1: the Xbox was a new thing and we couldn't afford 266 00:15:24,600 --> 00:15:26,440 Speaker 1: to call each other on the phone all the time. 267 00:15:26,520 --> 00:15:29,120 Speaker 1: So what we did was we all got xboxes and 268 00:15:29,120 --> 00:15:31,720 Speaker 1: we could play Halo and and talk to each other 269 00:15:31,760 --> 00:15:33,240 Speaker 1: at the same time. That was my first, I think 270 00:15:33,280 --> 00:15:38,000 Speaker 1: kind of metaverse experience. But now everybody or many people 271 00:15:38,040 --> 00:15:40,160 Speaker 1: have a metaverse experience in that you work from home 272 00:15:40,280 --> 00:15:44,400 Speaker 1: and you live in kind of zoom or next Year 273 00:15:44,480 --> 00:15:48,000 Speaker 1: or whatever it is. Can we have a broader definition 274 00:15:48,000 --> 00:15:49,520 Speaker 1: of the metaverse doesn't have to be this kind of 275 00:15:49,520 --> 00:15:52,160 Speaker 1: thing where you put on VR goggles and you um 276 00:15:52,240 --> 00:15:57,320 Speaker 1: go and play some fantasy game with wizards and goblins, right, yeah, 277 00:15:57,320 --> 00:15:59,680 Speaker 1: and that's it's it is the entry point now, I 278 00:16:00,200 --> 00:16:03,840 Speaker 1: um you know, people are certainly entering through gaming and 279 00:16:03,920 --> 00:16:06,840 Speaker 1: through movies. UM. I was talking to a CFO the 280 00:16:06,880 --> 00:16:08,760 Speaker 1: other day and he was it was a wake up 281 00:16:08,800 --> 00:16:11,800 Speaker 1: call for him when his um college aged son was 282 00:16:11,880 --> 00:16:14,880 Speaker 1: home and he was spending almost daily time with his 283 00:16:15,040 --> 00:16:17,920 Speaker 1: roommate who had lived in Chicago and felt like they 284 00:16:17,960 --> 00:16:21,840 Speaker 1: never left college together. They were engaging on a daily basis. 285 00:16:21,920 --> 00:16:25,040 Speaker 1: But I also think the categories that are going to 286 00:16:25,120 --> 00:16:29,000 Speaker 1: start to emerge beyond gaming and movies are really telling 287 00:16:29,040 --> 00:16:34,440 Speaker 1: in our survey. The next three we're education, fitness, and events. 288 00:16:34,720 --> 00:16:38,320 Speaker 1: So when you think of training and developing talent through 289 00:16:38,800 --> 00:16:42,120 Speaker 1: UM using you know, a r VR devices, that's the 290 00:16:42,120 --> 00:16:44,160 Speaker 1: current mechanism. I don't think that's always going to be 291 00:16:44,160 --> 00:16:48,640 Speaker 1: the mechanism. Also, just building health and wellness into your culture. 292 00:16:48,680 --> 00:16:50,960 Speaker 1: I've frequently talked to people who are engaging in the 293 00:16:51,000 --> 00:16:55,680 Speaker 1: metaversity of fitness, bike riding, and other activities UM. And 294 00:16:55,680 --> 00:16:59,720 Speaker 1: then employees gathering, you know, company wide meetings UM, certainly 295 00:17:00,040 --> 00:17:03,000 Speaker 1: heart metal meetings. Does it have to be flying across 296 00:17:03,040 --> 00:17:05,879 Speaker 1: the country and meeting UH and incurring a lot of 297 00:17:05,880 --> 00:17:08,760 Speaker 1: costs to do that or can it be as effective 298 00:17:09,520 --> 00:17:13,000 Speaker 1: to meet in the metaverse? All right, Matt, thanks so 299 00:17:13,080 --> 00:17:14,959 Speaker 1: much for joining us giving us some thoughts there as 300 00:17:15,080 --> 00:17:17,920 Speaker 1: people try to get forgere out what the metaverse is, 301 00:17:18,119 --> 00:17:21,000 Speaker 1: what it means for them and maybe their businesses their 302 00:17:21,040 --> 00:17:23,760 Speaker 1: day to day. Do you exercise in the metaverse? Right? 303 00:17:24,240 --> 00:17:27,480 Speaker 1: I don't know your friends with that famous trainer who 304 00:17:27,520 --> 00:17:29,320 Speaker 1: shows you how to rid your bike every day. When 305 00:17:29,440 --> 00:17:32,480 Speaker 1: Sherman gen Sherman there, you are absolutely a big fan, 306 00:17:32,640 --> 00:17:35,119 Speaker 1: all right. Mack Cramer, National sector leader for Consumer and 307 00:17:35,160 --> 00:17:39,639 Speaker 1: Retailing as advisory partner partner KPMG, talking to his clients 308 00:17:39,640 --> 00:17:43,080 Speaker 1: and advising his clients on in the consumer space, in 309 00:17:43,119 --> 00:17:45,480 Speaker 1: the retail space, how to kind of try to adapt 310 00:17:45,640 --> 00:17:50,439 Speaker 1: the metaverse UH for their businesses. I'm not sure I 311 00:17:50,520 --> 00:17:53,600 Speaker 1: necessarily get it, but I agree with Matt that it 312 00:17:53,840 --> 00:17:56,360 Speaker 1: is what a lot of future generations are looking at. 313 00:18:00,040 --> 00:18:03,080 Speaker 1: Wendy Thomas, CEO and president of Secure Works, that's a 314 00:18:03,160 --> 00:18:07,600 Speaker 1: NAZAC tradd stock the tickers sc as in Charlie w X. 315 00:18:07,840 --> 00:18:10,920 Speaker 1: Wendy joins us. Wendy, give us, just give us your 316 00:18:11,600 --> 00:18:15,320 Speaker 1: threat assessment, if you will. Kind of the cybersecurity landscape 317 00:18:15,320 --> 00:18:17,439 Speaker 1: that we live in now, it seems like we haven't 318 00:18:17,440 --> 00:18:23,800 Speaker 1: had any major breach recently. What's going on absolutely, And 319 00:18:24,160 --> 00:18:28,200 Speaker 1: you're right, Russia has definitely been more constrained than anticipated, 320 00:18:28,760 --> 00:18:32,720 Speaker 1: and we haven't seen the kind of widespread, really disruptive 321 00:18:32,720 --> 00:18:35,920 Speaker 1: attacks outside of Ukraine. And I think we all either 322 00:18:36,000 --> 00:18:39,520 Speaker 1: expected or feared. Yet what we what we saw was 323 00:18:40,200 --> 00:18:43,400 Speaker 1: in the days kind of leading up to the physical 324 00:18:43,440 --> 00:18:46,840 Speaker 1: military invasion. We did definitely see what we call wiper 325 00:18:46,920 --> 00:18:50,800 Speaker 1: type malware deployed in Ukraine, so so think of malware 326 00:18:50,840 --> 00:18:53,280 Speaker 1: that wipees data for fast damage versus trying to hold 327 00:18:53,280 --> 00:18:56,840 Speaker 1: it hostage for a ransom. But none of that malware 328 00:18:56,920 --> 00:19:00,680 Speaker 1: was particularly sophisticated. Much of it was ployed against a 329 00:19:00,680 --> 00:19:04,800 Speaker 1: pretty small targeted set of organizations in the Ukraine. UH. 330 00:19:04,840 --> 00:19:07,679 Speaker 1: And of course there's cyber attacks continue to be directed 331 00:19:07,680 --> 00:19:12,800 Speaker 1: at the Ukrainian government both UM, with various regional threat 332 00:19:12,840 --> 00:19:17,280 Speaker 1: groups conducting operations and even some international threat groups including 333 00:19:17,320 --> 00:19:20,320 Speaker 1: some suspected Chinese groups kind of taking an interest there. 334 00:19:21,040 --> 00:19:23,520 Speaker 1: But the other piece that we that we thought, if 335 00:19:23,600 --> 00:19:27,720 Speaker 1: you recall the Conti group, they're a large Russian ransomware 336 00:19:27,800 --> 00:19:31,600 Speaker 1: gang initially talked about, you know, posted early on that 337 00:19:31,640 --> 00:19:36,919 Speaker 1: they would seek retribution for sanctions that targeted Russia, but 338 00:19:37,800 --> 00:19:41,040 Speaker 1: even then, we haven't seen any notable rise in Russian 339 00:19:41,080 --> 00:19:45,080 Speaker 1: e crime activities in recent weeks. UM. In fact, that 340 00:19:45,200 --> 00:19:50,240 Speaker 1: Kanti group was disrupted UH pretty significantly when their own 341 00:19:50,320 --> 00:19:54,080 Speaker 1: chat servers and their malware source code was leaked. So 342 00:19:54,160 --> 00:19:56,639 Speaker 1: while they're not down and out, they keep posting a 343 00:19:56,680 --> 00:20:02,119 Speaker 1: list of victims to their name and shame leak site definitely, 344 00:20:02,359 --> 00:20:05,280 Speaker 1: uh put a put a damper on their activities. Well, 345 00:20:05,280 --> 00:20:08,320 Speaker 1: but you know, we're still at a point where a 346 00:20:08,359 --> 00:20:11,600 Speaker 1: lot of people think the war could get worse in 347 00:20:11,720 --> 00:20:14,879 Speaker 1: terms of the kind of artillery that Russia uses. Talk 348 00:20:14,960 --> 00:20:18,560 Speaker 1: of the possibility of tactical nukes is terrifying. Is it 349 00:20:18,680 --> 00:20:22,560 Speaker 1: the same? Is the same true in terms of cyber warfare? 350 00:20:23,160 --> 00:20:25,840 Speaker 1: Is it possible that Russia could pull out the big 351 00:20:25,880 --> 00:20:30,159 Speaker 1: guns when it really when Putin really feels cornered and 352 00:20:30,200 --> 00:20:33,400 Speaker 1: what would that look like? It is? It is absolutely 353 00:20:33,600 --> 00:20:36,800 Speaker 1: possible and something that frankly, we've been preparing for. And 354 00:20:36,840 --> 00:20:40,800 Speaker 1: I think that's why you see so many advisories from 355 00:20:40,920 --> 00:20:46,520 Speaker 1: the White House right now about advising organizations to be vigilant, 356 00:20:47,080 --> 00:20:50,800 Speaker 1: because while it's quiet right now, that could absolutely change rapidly, 357 00:20:51,320 --> 00:20:54,440 Speaker 1: and if you wait until it starts happening to be prepared, 358 00:20:54,520 --> 00:20:59,160 Speaker 1: it's it's obviously too late. Um. What we have seen 359 00:20:59,280 --> 00:21:03,520 Speaker 1: is that it could be that that the um the 360 00:21:03,560 --> 00:21:09,320 Speaker 1: focus right now around activism is really distracting from the 361 00:21:09,359 --> 00:21:14,040 Speaker 1: sort of US based companies. We certainly have seen a 362 00:21:14,080 --> 00:21:19,000 Speaker 1: lot of conversation around retaliation attacks potentially focusing on businesses 363 00:21:19,480 --> 00:21:22,800 Speaker 1: in the US that you know or or NATO affiliated 364 00:21:22,880 --> 00:21:28,240 Speaker 1: UM country organizations uk US that have either withdrawn from 365 00:21:28,359 --> 00:21:33,120 Speaker 1: Russia or frankly from activists that have not withdrawn from Russia, 366 00:21:33,240 --> 00:21:36,119 Speaker 1: and so the the the concern there is not just 367 00:21:36,240 --> 00:21:40,080 Speaker 1: those organizations, but all of their ecosystem partners, their suppliers 368 00:21:40,160 --> 00:21:43,280 Speaker 1: that that can access their systems that that you're depending 369 00:21:43,359 --> 00:21:45,840 Speaker 1: on for your business to run. They can be an 370 00:21:45,840 --> 00:21:50,320 Speaker 1: easy attack vector for your organization as well. So as 371 00:21:50,440 --> 00:21:56,080 Speaker 1: as Russia starts to deploy more sophisticated potentially malware for 372 00:21:56,200 --> 00:21:59,359 Speaker 1: youth e criminal groups tend to pick those up quickly 373 00:21:59,400 --> 00:22:03,520 Speaker 1: in Russia and then use those for monetary gain against 374 00:22:03,840 --> 00:22:10,000 Speaker 1: businesses globally. What do you advise your clients to do 375 00:22:10,119 --> 00:22:12,320 Speaker 1: in terms of which they be how should they be 376 00:22:12,320 --> 00:22:17,920 Speaker 1: protecting themselves from a cyber perspective. Well, the good news 377 00:22:18,000 --> 00:22:23,080 Speaker 1: is if you're already pursuing defenses against cyber attacks like 378 00:22:23,200 --> 00:22:28,199 Speaker 1: ransomware and I we definitely saw a lift in UH 379 00:22:28,960 --> 00:22:32,600 Speaker 1: business and activity after the Colonial pipeline incident, which just 380 00:22:32,760 --> 00:22:38,000 Speaker 1: raised awareness again, you're already hardening your infrastructure around the 381 00:22:38,119 --> 00:22:41,320 Speaker 1: same kind of nation state tradecraft that could fall out 382 00:22:41,359 --> 00:22:46,400 Speaker 1: from any Russian government cyber actions. So there's a few 383 00:22:46,440 --> 00:22:51,080 Speaker 1: things that that we um talked to boards and executives 384 00:22:51,080 --> 00:22:55,560 Speaker 1: about quite a bit um. That is being brilliant at 385 00:22:55,600 --> 00:22:59,600 Speaker 1: the basics, because the reality is that that the criminals 386 00:22:59,600 --> 00:23:03,320 Speaker 1: who you is nation state tradecraft. It is all about 387 00:23:03,680 --> 00:23:06,280 Speaker 1: monetary reward. So if we don't protect ourselves, we keep 388 00:23:06,280 --> 00:23:08,720 Speaker 1: the cycle going Cryme pays, and it just fuels these 389 00:23:08,760 --> 00:23:12,120 Speaker 1: cyberganttings to continue the attacks. So we talk about being 390 00:23:12,160 --> 00:23:15,800 Speaker 1: brilliant at the basics really cross three things. And the 391 00:23:15,840 --> 00:23:20,560 Speaker 1: first one is really prioritizing the patches on any of 392 00:23:20,600 --> 00:23:27,520 Speaker 1: your externally facing systems and implementing multi factor authentications, kind 393 00:23:27,520 --> 00:23:29,800 Speaker 1: of like the doctor tells you to exercise and eat 394 00:23:29,800 --> 00:23:33,360 Speaker 1: your vegetables. Absolutely need to make sure that that your 395 00:23:33,400 --> 00:23:38,520 Speaker 1: exposed systems are patched for vulnerabilities. Yeah. The second one, 396 00:23:38,520 --> 00:23:41,760 Speaker 1: which well, I was just gonna say, people around here 397 00:23:41,800 --> 00:23:44,600 Speaker 1: talk so much about how much bitcoin has stolen, and somebody, 398 00:23:45,080 --> 00:23:47,120 Speaker 1: you know, how the story seem like, oh, man, two 399 00:23:47,160 --> 00:23:50,639 Speaker 1: billion dollars in bitcoin has been stolen, But then I 400 00:23:50,680 --> 00:23:53,680 Speaker 1: thought she has six hundred billion dollars is stolen from 401 00:23:53,760 --> 00:23:57,320 Speaker 1: US consumers and just fishing and identity theft attacks last year. 402 00:23:57,400 --> 00:24:01,439 Speaker 1: So um, you know, dollars to bitcoins is is a 403 00:24:01,480 --> 00:24:03,879 Speaker 1: much higher rate of death. Unfortunately, Wendy, that's all you 404 00:24:03,920 --> 00:24:05,200 Speaker 1: have time Force, so I gotta wrap it up, but 405 00:24:05,240 --> 00:24:06,600 Speaker 1: we'd love to have you back on so I hope 406 00:24:06,640 --> 00:24:09,480 Speaker 1: you can join us again. Wendy Thomas there, the CEO 407 00:24:09,640 --> 00:24:13,800 Speaker 1: and president of Secure Works. Thanks for listening to the 408 00:24:13,840 --> 00:24:17,760 Speaker 1: Bloomberg Markets podcast. You can subscribe and listen to interviews 409 00:24:17,760 --> 00:24:22,080 Speaker 1: with Apple Podcasts or whatever podcast platform you prefer. I'm 410 00:24:22,119 --> 00:24:26,560 Speaker 1: Matt Miller. I'm on Twitter at Matt Miller three. On 411 00:24:26,680 --> 00:24:29,720 Speaker 1: Fall Sweeney, I'm on Twitter at pt Sweeney before the podcast. 412 00:24:29,800 --> 00:24:32,280 Speaker 1: You can always catch us worldwide at Bloomberg Radio