1 00:00:02,960 --> 00:00:07,280 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:09,960 --> 00:00:13,840 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us Live 3 00:00:13,920 --> 00:00:17,000 Speaker 2: weekdays at ten am Eastern on Apple Card playing Android 4 00:00:17,040 --> 00:00:20,120 Speaker 2: Auto with the Bloomberg Business App. Listen on demand wherever 5 00:00:20,200 --> 00:00:24,040 Speaker 2: you get your podcasts, or watch us live on YouTube. 6 00:00:25,120 --> 00:00:28,480 Speaker 3: Just kind of summarizing that farm non farm payroll data. 7 00:00:28,720 --> 00:00:30,480 Speaker 3: The good news was for the month of February came 8 00:00:30,520 --> 00:00:32,040 Speaker 3: in better than expected. The two hundred and seventy five 9 00:00:32,040 --> 00:00:34,680 Speaker 3: thousand jobs at IT consensus was two hundred thousand, So 10 00:00:34,800 --> 00:00:37,120 Speaker 3: good headline print. There kind of a little bit of 11 00:00:37,159 --> 00:00:39,400 Speaker 3: the downside here is a big negative revision for the 12 00:00:39,440 --> 00:00:41,800 Speaker 3: prior month. The prior month was revised down from a 13 00:00:41,800 --> 00:00:44,000 Speaker 3: gain of three hundred fifty three thousand to two hundred 14 00:00:44,000 --> 00:00:47,000 Speaker 3: and twenty nine. Claudia Asam from them Group said, don't 15 00:00:47,040 --> 00:00:49,279 Speaker 3: worry about it, it's just noise. Taking it in, take 16 00:00:49,320 --> 00:00:51,839 Speaker 3: everything on like a three month basis, rolling basis, and 17 00:00:52,440 --> 00:00:55,959 Speaker 3: basically the payroll market's pretty strong. Jony Biley joins US 18 00:00:56,280 --> 00:01:00,400 Speaker 3: chief workforce analysts at employ Bridge, reportedly on Zoom from 19 00:01:00,440 --> 00:01:01,920 Speaker 3: Pompano Beach, Florida. 20 00:01:02,040 --> 00:01:02,800 Speaker 4: What are we doing here? 21 00:01:02,920 --> 00:01:03,280 Speaker 1: Jealous? 22 00:01:03,360 --> 00:01:03,480 Speaker 5: Right? 23 00:01:03,680 --> 00:01:06,880 Speaker 3: Yeah, why not? But I'm going out to the mountains Sunday, summer, right, Joni, 24 00:01:06,959 --> 00:01:10,199 Speaker 3: what did you make of this jobs report number today? 25 00:01:10,200 --> 00:01:12,880 Speaker 3: A lot of moving parts, as we've been saying, Yeah, you. 26 00:01:12,920 --> 00:01:15,000 Speaker 6: Know, you really have to break it down because there 27 00:01:16,000 --> 00:01:18,800 Speaker 6: is a lot of data in this report, and there's 28 00:01:18,840 --> 00:01:21,080 Speaker 6: some good news and there's some bad news. 29 00:01:21,319 --> 00:01:23,640 Speaker 7: So to your point you were talking about, you know, 30 00:01:23,720 --> 00:01:26,800 Speaker 7: the revisions that were made to the prior months. We 31 00:01:26,880 --> 00:01:30,000 Speaker 7: did see some pretty big revisions. 32 00:01:29,480 --> 00:01:33,920 Speaker 6: Downward to January and then also some revisions in December. 33 00:01:34,000 --> 00:01:38,280 Speaker 6: So you know, the previous month's reports weren't really as 34 00:01:38,319 --> 00:01:41,760 Speaker 6: strong as we thought they were. But however, if you 35 00:01:41,800 --> 00:01:44,360 Speaker 6: look at the overall job growth, you know, the US 36 00:01:44,760 --> 00:01:49,840 Speaker 6: is adding jobs to the economy, mostly in the healthcare sector. 37 00:01:50,760 --> 00:01:54,640 Speaker 6: We did see growth in the retail sector. Construction added 38 00:01:54,680 --> 00:01:58,560 Speaker 6: over twenty thousand jobs, so you know, there is some 39 00:01:58,600 --> 00:02:02,559 Speaker 6: good news and we continue to see wages also moving 40 00:02:02,640 --> 00:02:04,360 Speaker 6: up in the report as well. 41 00:02:04,920 --> 00:02:07,640 Speaker 8: But jo Johnny, do you care that the wages were 42 00:02:07,680 --> 00:02:08,520 Speaker 8: moving up less? 43 00:02:09,960 --> 00:02:11,600 Speaker 7: Yeah, we're definitely seeing a slow down. 44 00:02:11,680 --> 00:02:14,360 Speaker 6: I think with you know, wage growth has been so 45 00:02:14,720 --> 00:02:19,560 Speaker 6: strong over the past few years, so I expect them 46 00:02:19,600 --> 00:02:21,920 Speaker 6: to flatten. I do think you know, wages will kind 47 00:02:21,960 --> 00:02:25,400 Speaker 6: of soften, but I was surprised actually to see that 48 00:02:25,400 --> 00:02:28,160 Speaker 6: we're still having some decent, you know, decent wage growth. 49 00:02:28,960 --> 00:02:31,040 Speaker 3: So the one go ahead. 50 00:02:31,639 --> 00:02:32,960 Speaker 6: Well, the one thing I was going to say that 51 00:02:33,000 --> 00:02:36,720 Speaker 6: concern me the most about this Job's report was actually 52 00:02:36,800 --> 00:02:41,080 Speaker 6: the household survey, and that's where you saw unemployment, you know, 53 00:02:41,200 --> 00:02:44,760 Speaker 6: tick up to three point nine percent. And when you 54 00:02:44,880 --> 00:02:47,480 Speaker 6: look at the data and kind of break that down, 55 00:02:47,960 --> 00:02:51,600 Speaker 6: we see that the population is growing, the size of 56 00:02:51,680 --> 00:02:56,440 Speaker 6: the labor forces growing, but we actually have over three 57 00:02:56,520 --> 00:03:01,120 Speaker 6: hundred and thirty thousand more people on unemployment, and. 58 00:03:01,000 --> 00:03:02,120 Speaker 7: That concerns me. 59 00:03:02,280 --> 00:03:05,200 Speaker 6: So, you know, we have these two surveys, and so 60 00:03:05,360 --> 00:03:08,200 Speaker 6: when you look at you know, the establishment survey, the 61 00:03:08,240 --> 00:03:11,240 Speaker 6: headline number of you know, two hundred and seventy five 62 00:03:11,280 --> 00:03:15,320 Speaker 6: thousand jobs being created looks great, but that household survey 63 00:03:15,520 --> 00:03:19,560 Speaker 6: is really concerning that we're seeing more people on unemployment. 64 00:03:20,400 --> 00:03:23,400 Speaker 3: So, Jony, I think when you listen to earnings conference 65 00:03:23,400 --> 00:03:26,000 Speaker 3: calls from companies and just about every industry, they say 66 00:03:26,040 --> 00:03:30,720 Speaker 3: it's still really hard to attract and retain a good 67 00:03:31,080 --> 00:03:34,440 Speaker 3: talent and labor. Are you still seeing that? Is it 68 00:03:34,560 --> 00:03:36,280 Speaker 3: as a cute today as it was maybe you know, 69 00:03:36,440 --> 00:03:37,200 Speaker 3: a year or two ago. 70 00:03:38,480 --> 00:03:40,200 Speaker 7: Yeah, it's definitely softened a bit. 71 00:03:40,320 --> 00:03:43,680 Speaker 6: The job market, you know, was much stronger last year 72 00:03:43,920 --> 00:03:46,600 Speaker 6: and the prior year, you know, even coming out of 73 00:03:46,600 --> 00:03:48,880 Speaker 6: the pandemic, we just had robust growth. 74 00:03:49,240 --> 00:03:51,040 Speaker 7: It was a very competitive market. 75 00:03:51,360 --> 00:03:54,720 Speaker 6: People were quitting their jobs going somewhere else the grass was. 76 00:03:54,680 --> 00:03:56,040 Speaker 7: Greener, making more money. 77 00:03:56,440 --> 00:03:58,880 Speaker 6: Now we're starting to see, you know, the quits rate 78 00:03:59,120 --> 00:04:02,520 Speaker 6: is coming down. It is still though, a very tight 79 00:04:02,640 --> 00:04:05,960 Speaker 6: job market to your point, you know, we have eight 80 00:04:05,960 --> 00:04:10,960 Speaker 6: point nine million job openings, about six point four million 81 00:04:11,200 --> 00:04:14,640 Speaker 6: unemployed workers, so more jobs than there are people. But 82 00:04:15,080 --> 00:04:18,920 Speaker 6: it depends on the sector you know that you're in. 83 00:04:19,320 --> 00:04:22,000 Speaker 6: We've seen a slowdown in some of the professional and 84 00:04:22,040 --> 00:04:27,760 Speaker 6: business service sector. Healthcare though continues to remain strong. Leisure 85 00:04:27,800 --> 00:04:31,159 Speaker 6: and hospitality, you know, it is very hard to find 86 00:04:31,200 --> 00:04:32,600 Speaker 6: people in that industry. 87 00:04:32,640 --> 00:04:34,040 Speaker 7: So we've seen wages. 88 00:04:33,680 --> 00:04:37,599 Speaker 6: Really start to increase, and employers are focused on that, 89 00:04:37,800 --> 00:04:42,479 Speaker 6: you know, employee retention strategies to keep their workforce engaged 90 00:04:42,520 --> 00:04:43,599 Speaker 6: and keep them with them. 91 00:04:44,000 --> 00:04:46,360 Speaker 8: So to that point, the market is pricing in now 92 00:04:46,440 --> 00:04:48,679 Speaker 8: one hundred basis points of cuts. This year really starts 93 00:04:48,680 --> 00:04:50,839 Speaker 8: to kick off in June. Is this an economy that 94 00:04:51,000 --> 00:04:54,320 Speaker 8: needs that. Like, if we do get those cuts, is 95 00:04:54,400 --> 00:04:57,200 Speaker 8: there now penned up demand with companies so it actually 96 00:04:57,200 --> 00:04:58,400 Speaker 8: make the job market tighter. 97 00:04:59,640 --> 00:05:03,080 Speaker 6: Well, I do think if we get those cuts, you know, 98 00:05:03,200 --> 00:05:05,719 Speaker 6: even if it's in the second, you know, half of 99 00:05:05,760 --> 00:05:11,120 Speaker 6: the year, that will help many companies feel better about 100 00:05:11,120 --> 00:05:14,680 Speaker 6: investing and start hiring again. Because what we see at 101 00:05:14,680 --> 00:05:18,680 Speaker 6: employee Bridge is employers are talking about hiring. They say 102 00:05:18,680 --> 00:05:22,240 Speaker 6: they have the demand, but they do seem a bit cautious. 103 00:05:22,400 --> 00:05:25,920 Speaker 6: They're not adding, you know, to their payrolls as quickly 104 00:05:26,160 --> 00:05:28,599 Speaker 6: as they have before, and I think they have to 105 00:05:28,640 --> 00:05:32,719 Speaker 6: be careful with their cash position. And certainly you know, 106 00:05:32,960 --> 00:05:37,080 Speaker 6: their their debt and the interest rates being high, you know, 107 00:05:37,320 --> 00:05:41,080 Speaker 6: of course it's impacting companies with making those investments. So 108 00:05:41,160 --> 00:05:43,839 Speaker 6: if we start to see those rates, you know, begin 109 00:05:43,920 --> 00:05:47,920 Speaker 6: to ease, I would certainly feel better about companies starting 110 00:05:47,920 --> 00:05:50,240 Speaker 6: to add to their permanent payrolls again. 111 00:05:51,080 --> 00:05:53,640 Speaker 3: JNY last night was the State of the Union address 112 00:05:53,640 --> 00:05:57,479 Speaker 3: and one of the key issues was immigration issues at 113 00:05:57,680 --> 00:06:01,080 Speaker 3: the border. How does immigration with it's legal or illegal, 114 00:06:01,120 --> 00:06:04,120 Speaker 3: how has it been impacting Have you seen it anywhere 115 00:06:04,120 --> 00:06:06,360 Speaker 3: in the labor market? What are your clients saying, because 116 00:06:06,360 --> 00:06:08,200 Speaker 3: I was speaking to a buddy mine who owns a 117 00:06:08,240 --> 00:06:10,159 Speaker 3: restaurant just yesterday, and he was saying, for the first 118 00:06:10,200 --> 00:06:12,920 Speaker 3: time in three years, he actually has everybody he needs 119 00:06:13,600 --> 00:06:15,840 Speaker 3: for all his shifts. And these are you know, bus 120 00:06:15,839 --> 00:06:18,880 Speaker 3: boys and waiting staff and dishwashers and things like that. 121 00:06:19,680 --> 00:06:21,520 Speaker 3: Has it shown up in your work. 122 00:06:22,680 --> 00:06:25,440 Speaker 6: Yeah, so we're we I think it's still too soon 123 00:06:25,640 --> 00:06:29,119 Speaker 6: to tell. To be honest with you, it definitely will 124 00:06:29,160 --> 00:06:31,680 Speaker 6: have an impact. When you look at the numbers of 125 00:06:31,720 --> 00:06:35,560 Speaker 6: people that are coming into the country. You know, obviously 126 00:06:35,600 --> 00:06:40,200 Speaker 6: that's adding, you know, to the population, and many of 127 00:06:40,240 --> 00:06:45,080 Speaker 6: them are unskilled workers, you know, so they will really 128 00:06:45,400 --> 00:06:49,160 Speaker 6: you know, if obviously getting their green cards are being 129 00:06:49,200 --> 00:06:53,040 Speaker 6: able to work in the United States, they will impact 130 00:06:53,279 --> 00:06:56,720 Speaker 6: the lower level, lower level. 131 00:06:56,560 --> 00:07:01,720 Speaker 7: Jobs, you know, looking for talent more in those unskilled positions. 132 00:07:01,760 --> 00:07:04,280 Speaker 7: And we see that we haven't really seen. 133 00:07:04,040 --> 00:07:07,760 Speaker 6: The big impact in the workforce yet, but it certainly 134 00:07:07,960 --> 00:07:10,080 Speaker 6: would impact the workforce in the future. 135 00:07:11,280 --> 00:07:13,640 Speaker 8: What do you look for next then, so if there's 136 00:07:13,680 --> 00:07:15,600 Speaker 8: some good interest in bad it's like a Worsheck test, 137 00:07:15,680 --> 00:07:18,440 Speaker 8: right when it comes to the jobs data, what's going 138 00:07:18,520 --> 00:07:20,680 Speaker 8: to be the next data point that you're really paying 139 00:07:20,680 --> 00:07:22,680 Speaker 8: attention to in the jobs numbers. 140 00:07:23,640 --> 00:07:25,920 Speaker 6: Well, I think there's a couple of things that'll that 141 00:07:26,000 --> 00:07:27,800 Speaker 6: we need to continue to watch. 142 00:07:28,640 --> 00:07:30,920 Speaker 7: One thing is labor participation. 143 00:07:31,440 --> 00:07:34,240 Speaker 6: You know, if you look at the overall workforce, we're 144 00:07:34,280 --> 00:07:39,320 Speaker 6: at about sixty two point five percent labor participation, and 145 00:07:39,320 --> 00:07:42,520 Speaker 6: that if you break that down, you know, men over 146 00:07:42,600 --> 00:07:45,320 Speaker 6: twenty years old we're up at seventy percent, which is 147 00:07:45,360 --> 00:07:49,679 Speaker 6: a pretty good number. Women for over twenty years old 148 00:07:50,240 --> 00:07:54,280 Speaker 6: are We're at fifty nine percent. So when I look 149 00:07:54,320 --> 00:07:56,880 Speaker 6: at the overall job market, I'm also looking not only 150 00:07:56,920 --> 00:07:59,679 Speaker 6: where is the job growth and who's adding what's happening 151 00:07:59,680 --> 00:08:04,040 Speaker 6: with ages, but are we getting people back to work 152 00:08:04,720 --> 00:08:07,600 Speaker 6: in the United States? And are we seeing that labor 153 00:08:07,640 --> 00:08:11,640 Speaker 6: participation start to tick up? And that's a very important 154 00:08:11,640 --> 00:08:15,840 Speaker 6: indicator that I certainly watch. It's still at a very 155 00:08:15,960 --> 00:08:19,560 Speaker 6: very low rate, and we have some work to do 156 00:08:19,680 --> 00:08:21,560 Speaker 6: I think in encouraging people that it is a. 157 00:08:21,480 --> 00:08:22,320 Speaker 7: Good job market. 158 00:08:22,400 --> 00:08:26,440 Speaker 6: There are opportunities out there, there's training opportunities out there, 159 00:08:27,240 --> 00:08:30,640 Speaker 6: and certainly need to get that number up. I'll also 160 00:08:30,680 --> 00:08:33,319 Speaker 6: be watching for revisions next month, you know, are the 161 00:08:33,400 --> 00:08:38,839 Speaker 6: numbers getting continually revised downward? The temporary help sector is 162 00:08:39,520 --> 00:08:43,720 Speaker 6: interesting to follow. Usually, if we're losing jobs in the 163 00:08:43,880 --> 00:08:47,880 Speaker 6: temporary help services sector, that's not a good sign for 164 00:08:47,960 --> 00:08:51,800 Speaker 6: the economy because companies will lay off temporary workers first, 165 00:08:52,200 --> 00:08:54,120 Speaker 6: and unfortunately. 166 00:08:53,440 --> 00:08:58,320 Speaker 7: That has been declining for many months, which could show 167 00:08:58,440 --> 00:08:59,400 Speaker 7: us that, you. 168 00:08:59,320 --> 00:09:02,080 Speaker 6: Know, we're not at this yet, Johnny, there are definitely 169 00:09:02,280 --> 00:09:03,520 Speaker 6: some softening Johnny. 170 00:09:03,559 --> 00:09:06,920 Speaker 8: We appreciate your time. Thank you so much. Jony Biley, 171 00:09:07,040 --> 00:09:11,400 Speaker 8: she is employee Bridge, Chief Workforced Analyst, joining us there. 172 00:09:11,400 --> 00:09:12,719 Speaker 8: We very much appreciate your time. 173 00:09:14,240 --> 00:09:18,160 Speaker 2: You're listening to the Bloomberg Intelligence podcast. Catch us live 174 00:09:18,240 --> 00:09:21,760 Speaker 2: weekdays at ten am Eastern on applecar Play and Android 175 00:09:21,760 --> 00:09:24,559 Speaker 2: Auto with the Bloomberg Business app. You can also listen 176 00:09:24,679 --> 00:09:27,760 Speaker 2: live on Amazon Alexa from our flagship New York station. 177 00:09:28,120 --> 00:09:30,880 Speaker 2: Just say Alexa play Bloomberg eleven thirty. 178 00:09:32,200 --> 00:09:35,199 Speaker 8: Happy Friday to everyone we made at the end of 179 00:09:35,240 --> 00:09:38,000 Speaker 8: the week. You're listening to Bloomberg Intelligence. I'm Bloomberg Radio. 180 00:09:38,040 --> 00:09:40,480 Speaker 8: You can also check us out on YouTube. We are 181 00:09:40,520 --> 00:09:42,600 Speaker 8: live in the interactive at Broker Studio right here at 182 00:09:42,600 --> 00:09:45,640 Speaker 8: headquarters in New York. I'm Alex Steel, Paul Sweeney as well. 183 00:09:45,800 --> 00:09:48,839 Speaker 8: So we have thousands of analysts hundreds. It's good. With 184 00:09:48,920 --> 00:09:51,160 Speaker 8: hundreds hundred of analysts that cover two thousand companies and 185 00:09:51,160 --> 00:09:53,400 Speaker 8: one hundred and thirty industries around the world, they are 186 00:09:53,400 --> 00:09:56,400 Speaker 8: truly the best of the best. And one of the 187 00:09:56,400 --> 00:09:59,080 Speaker 8: headliners here is Gina Martin Adams. She is the chief 188 00:09:59,120 --> 00:10:02,160 Speaker 8: equity strategist at Bloomberg Intelligence and she joined us now 189 00:10:02,760 --> 00:10:05,840 Speaker 8: from the Golden State. Gina, I'm looking at the market, 190 00:10:06,160 --> 00:10:08,360 Speaker 8: and I've been skeptical of the rally for a long time. 191 00:10:08,400 --> 00:10:11,400 Speaker 8: But then I get things like the Rustle two thousand 192 00:10:11,679 --> 00:10:13,800 Speaker 8: up the most and hitting its highest level since March 193 00:10:13,800 --> 00:10:16,200 Speaker 8: of twenty twenty two. Then I get things like you 194 00:10:16,280 --> 00:10:18,960 Speaker 8: have the equal Weighted Index sitting at a record high, 195 00:10:18,960 --> 00:10:21,960 Speaker 8: you have industrials doing really well, and it's not just uber. 196 00:10:22,520 --> 00:10:24,480 Speaker 8: Is it time for me to stop being skeptical? 197 00:10:25,760 --> 00:10:28,600 Speaker 5: Yeah, I dare say, Alex, we should have convinced you 198 00:10:28,640 --> 00:10:32,240 Speaker 5: a little while ago to stop being skeptical. But frankly, 199 00:10:32,320 --> 00:10:34,360 Speaker 5: I do think that what is happening in the market, 200 00:10:34,600 --> 00:10:36,560 Speaker 5: You're not alone. There are a lot of people that 201 00:10:36,600 --> 00:10:38,560 Speaker 5: are very skeptical to in the market, and that is 202 00:10:38,600 --> 00:10:41,520 Speaker 5: what makes what makes the wall of worry that stocks 203 00:10:41,520 --> 00:10:44,640 Speaker 5: tend to climb right and I do think though that 204 00:10:44,640 --> 00:10:46,280 Speaker 5: when you look at the bulk of the evidence, you 205 00:10:46,440 --> 00:10:50,559 Speaker 5: see fundamentals starting to turn a corner. For the vast 206 00:10:50,600 --> 00:10:53,240 Speaker 5: majority of the S and P five hundred and prices 207 00:10:53,240 --> 00:10:56,920 Speaker 5: are reflecting that corner that fundamentals are turning over the 208 00:10:56,920 --> 00:10:59,240 Speaker 5: course of twenty twenty three. Of course, the big argument 209 00:10:59,280 --> 00:11:03,640 Speaker 5: against stuff is that this market was really just driven 210 00:11:03,679 --> 00:11:06,800 Speaker 5: by the biggest names, but that argument has been diminished 211 00:11:06,840 --> 00:11:09,280 Speaker 5: considerably over the last three months. So we're starting to 212 00:11:09,280 --> 00:11:11,760 Speaker 5: see breakouts across the board. As a matter of fact, 213 00:11:12,320 --> 00:11:15,400 Speaker 5: more than half of industrials companies are making new all 214 00:11:15,480 --> 00:11:18,439 Speaker 5: time highs over the last three months, so you are 215 00:11:18,520 --> 00:11:22,840 Speaker 5: starting to see much broader gains emerge. Small caps starting 216 00:11:22,880 --> 00:11:25,720 Speaker 5: to show some signs of life as well, breaking across 217 00:11:25,840 --> 00:11:29,599 Speaker 5: key resistance levels just this week. So we're starting to 218 00:11:29,600 --> 00:11:34,320 Speaker 5: see more participation, more capitalization, participation, more sectors, more stocks 219 00:11:34,360 --> 00:11:36,160 Speaker 5: really getting on board this full market. 220 00:11:37,000 --> 00:11:40,480 Speaker 3: So I guess, just in the back Gina on the 221 00:11:40,600 --> 00:11:42,840 Speaker 3: jobs number today, it seems like the bond market is 222 00:11:42,840 --> 00:11:45,400 Speaker 3: pricing in, you know, pretty confidently. 223 00:11:45,520 --> 00:11:46,400 Speaker 2: A rate cut in. 224 00:11:46,840 --> 00:11:50,800 Speaker 3: June gave us just kind of what you're fed outlook 225 00:11:50,960 --> 00:11:53,560 Speaker 3: is for kind of the remainder this year, and how 226 00:11:53,920 --> 00:11:55,920 Speaker 3: important that is to kind of just the overall fundament 227 00:11:56,000 --> 00:11:57,439 Speaker 3: of the movement of the markets. 228 00:11:58,160 --> 00:12:00,800 Speaker 5: Yeah, so luckily, paul I, that's one thing I don't 229 00:12:00,840 --> 00:12:02,760 Speaker 5: have to set is a FED outlook. But I will 230 00:12:02,800 --> 00:12:06,760 Speaker 5: say that what the equity market is pricing is generally 231 00:12:07,040 --> 00:12:10,640 Speaker 5: we're starting to adopt the thesis that earnings are improving. 232 00:12:11,160 --> 00:12:13,840 Speaker 5: I do think that what's really driving the equity market 233 00:12:13,840 --> 00:12:16,320 Speaker 5: more than anything is not what's happening in rates. As 234 00:12:16,320 --> 00:12:18,520 Speaker 5: a matter of fact, we see some very clear evidence 235 00:12:18,559 --> 00:12:22,600 Speaker 5: that equities are detaching from the rates landscape, and we're 236 00:12:22,600 --> 00:12:26,080 Speaker 5: not necessarily as closely correlated on a daily basis, monthly 237 00:12:26,120 --> 00:12:28,800 Speaker 5: basis with watchab what's happening with rates and the bond market, 238 00:12:28,840 --> 00:12:32,679 Speaker 5: speculation about the FED, and instead we're looking at much 239 00:12:32,679 --> 00:12:35,480 Speaker 5: stronger than expected earnings and cash flow growth that has 240 00:12:35,520 --> 00:12:38,240 Speaker 5: emerged for the S and P five hundred, and the 241 00:12:38,320 --> 00:12:42,040 Speaker 5: anticipation that maybe earnings actually will prove to be much 242 00:12:42,080 --> 00:12:45,480 Speaker 5: stronger than the market was forecasting over the course of 243 00:12:45,520 --> 00:12:47,559 Speaker 5: this year. I do think that that's the most important 244 00:12:47,640 --> 00:12:51,160 Speaker 5: driver of stocks. That said, you can't completely ignore the FED. 245 00:12:51,320 --> 00:12:55,560 Speaker 5: If the FED is going to even just modestly reduce 246 00:12:55,640 --> 00:12:58,640 Speaker 5: interest rates because inflation risks has diminished. That could be 247 00:12:58,720 --> 00:13:02,840 Speaker 5: very supportive of equities as well and certainly contribute to valuations. 248 00:13:03,000 --> 00:13:06,199 Speaker 5: I think the most dangerous condition for stocks right now 249 00:13:06,880 --> 00:13:10,280 Speaker 5: is one of two things happen. First and foremost, the 250 00:13:10,320 --> 00:13:14,720 Speaker 5: biggest sort of not predicted component of the market outlook 251 00:13:14,840 --> 00:13:18,000 Speaker 5: is this idea that maybe inflation is stickier than anticipated. 252 00:13:18,400 --> 00:13:22,079 Speaker 5: If inflation reaccelerates, that is obviously very bad for stocks 253 00:13:22,120 --> 00:13:24,040 Speaker 5: because it could compress profit margins. 254 00:13:24,440 --> 00:13:25,439 Speaker 7: On the other end of the. 255 00:13:25,400 --> 00:13:28,600 Speaker 5: Spectrum, if the FED is easing policy because growth is 256 00:13:28,640 --> 00:13:32,520 Speaker 5: breaking down, that's also not great for stocks. We need 257 00:13:32,520 --> 00:13:36,840 Speaker 5: this middle zone of sort of stable policy, stable inflation, 258 00:13:37,160 --> 00:13:40,240 Speaker 5: and modest improvement and earnings growth to really support the 259 00:13:40,280 --> 00:13:41,320 Speaker 5: equity market right now. 260 00:13:41,400 --> 00:13:45,120 Speaker 8: That is a Goldilocks word there for Gina. Okay, But 261 00:13:45,160 --> 00:13:47,040 Speaker 8: here's my question is that if we do get the cuts, 262 00:13:47,480 --> 00:13:49,959 Speaker 8: let's say they start in June, and neither of those 263 00:13:50,000 --> 00:13:52,800 Speaker 8: negative scenarios imply like there's no sticky inflation and there's 264 00:13:52,800 --> 00:13:56,160 Speaker 8: no disastrous economy, the risk of the cuts is that 265 00:13:56,200 --> 00:14:00,440 Speaker 8: we actually fuel more investment into an economy that doesn't 266 00:14:00,440 --> 00:14:02,160 Speaker 8: need it, and then that kind of sets us up 267 00:14:02,200 --> 00:14:04,080 Speaker 8: for a rougher twenty twenty five. 268 00:14:05,000 --> 00:14:07,200 Speaker 5: I think that's a really good point, is how much 269 00:14:07,240 --> 00:14:11,360 Speaker 5: can they cut before they ultimately the ultimate result is 270 00:14:11,400 --> 00:14:14,200 Speaker 5: another bout of inflation into twenty twenty five, And we 271 00:14:14,240 --> 00:14:17,480 Speaker 5: won't know this until we get to mid twenty twenty 272 00:14:17,480 --> 00:14:20,760 Speaker 5: four when they do start cutting. If they do, but 273 00:14:20,840 --> 00:14:23,520 Speaker 5: the Fed does have to threat a pretty fine needle 274 00:14:23,960 --> 00:14:26,840 Speaker 5: if we're at a point where growth is relatively stable 275 00:14:26,880 --> 00:14:30,560 Speaker 5: and inflation is simply decelerating, I think the arguments for 276 00:14:30,640 --> 00:14:35,120 Speaker 5: those cuts are relatively deminimus. So if we do get 277 00:14:35,120 --> 00:14:37,560 Speaker 5: to that point and the Fed does start cutting, you 278 00:14:37,640 --> 00:14:40,400 Speaker 5: could indeed see the markets start to think about, well, 279 00:14:40,440 --> 00:14:42,960 Speaker 5: what does this really mean for inflation prospects in twenty 280 00:14:43,000 --> 00:14:46,400 Speaker 5: twenty five? Is it justified to see these growth this 281 00:14:46,520 --> 00:14:50,520 Speaker 5: sort of outlook from the Fed? Will we see much 282 00:14:50,520 --> 00:14:53,240 Speaker 5: more volatile inflation conditions emerging? What will that mean for 283 00:14:53,320 --> 00:14:56,440 Speaker 5: profit margins? That of course comes in the middle landscape 284 00:14:56,480 --> 00:14:59,640 Speaker 5: of we do have the election coming later this year, 285 00:14:59,680 --> 00:15:01,880 Speaker 5: We've gone I have a lot of other potential moving 286 00:15:01,920 --> 00:15:04,800 Speaker 5: parts to contend with in the economy, but it's certainly 287 00:15:04,800 --> 00:15:05,920 Speaker 5: one factor to consider. 288 00:15:06,440 --> 00:15:09,520 Speaker 3: Geet, I'm glad you brought the election because we'd had 289 00:15:09,520 --> 00:15:11,120 Speaker 3: this State of the Union last night, So it just 290 00:15:11,120 --> 00:15:13,440 Speaker 3: feels like that's kicking off what's going to be a 291 00:15:13,560 --> 00:15:17,840 Speaker 3: very long campaign here in a very long process. Historically speaking, 292 00:15:18,240 --> 00:15:20,880 Speaker 3: How do markets perform in a presidential election year? 293 00:15:21,840 --> 00:15:25,120 Speaker 5: Yeah, I think Paul I tend to dismiss a lot 294 00:15:25,120 --> 00:15:28,120 Speaker 5: of those sort of the statistical evidence about election years 295 00:15:28,160 --> 00:15:30,680 Speaker 5: because you get very different results if you talk about 296 00:15:30,840 --> 00:15:34,000 Speaker 5: how seasonality and political cycles play out over the last 297 00:15:34,000 --> 00:15:36,240 Speaker 5: twenty years versus the last fifty years versus the last 298 00:15:36,280 --> 00:15:38,560 Speaker 5: one hundred years. So you can kind of pick your narrative. 299 00:15:38,760 --> 00:15:38,920 Speaker 2: Yep. 300 00:15:39,600 --> 00:15:41,840 Speaker 5: I think that things that are most important, of course 301 00:15:41,880 --> 00:15:44,760 Speaker 5: to drive stocks really are what's happening with growth and inflation. 302 00:15:45,560 --> 00:15:47,960 Speaker 5: That said, as we move closer to the election, I 303 00:15:48,000 --> 00:15:50,320 Speaker 5: do think that there are two major macro issues to 304 00:15:50,520 --> 00:15:53,960 Speaker 5: consider with respect to the twenty twenty five outlook, and 305 00:15:54,000 --> 00:15:57,600 Speaker 5: they will matter depending upon who ultimately becomes the US president, 306 00:15:57,640 --> 00:16:00,560 Speaker 5: and that is really tax and trade. And trade are 307 00:16:00,560 --> 00:16:03,680 Speaker 5: the two issues that could have very meaningful impacts on 308 00:16:03,720 --> 00:16:06,920 Speaker 5: the outlook for earnings growth. Both of these presidents do 309 00:16:07,040 --> 00:16:11,320 Speaker 5: tend to have fight bipolar policies with respect to especially taxation, 310 00:16:11,520 --> 00:16:15,520 Speaker 5: but also trade policies and a sort of international framework 311 00:16:15,560 --> 00:16:18,400 Speaker 5: of relationships. So I think we want to pay pretty 312 00:16:18,440 --> 00:16:21,000 Speaker 5: close attention to those two issues as we get closer 313 00:16:21,040 --> 00:16:23,480 Speaker 5: to the election because they could have meaningful outcomes for 314 00:16:23,520 --> 00:16:25,200 Speaker 5: equities going into twenty twenty five. 315 00:16:25,520 --> 00:16:27,160 Speaker 8: So before we get there, I just want to before 316 00:16:27,160 --> 00:16:28,960 Speaker 8: we let you go enjoy the weekend, I want to 317 00:16:28,960 --> 00:16:31,520 Speaker 8: get your take on what's happening with certain areas of tech. 318 00:16:31,840 --> 00:16:34,720 Speaker 8: So if you have Tesla, if you have Apple, if 319 00:16:34,760 --> 00:16:39,280 Speaker 8: you have maybe Alphabet starting to really break down, yep, 320 00:16:39,360 --> 00:16:41,160 Speaker 8: but yet you still have an Aazak one hundred at 321 00:16:41,160 --> 00:16:42,800 Speaker 8: a record high. How long do you think that that 322 00:16:42,920 --> 00:16:44,680 Speaker 8: divergence can last? 323 00:16:45,240 --> 00:16:47,640 Speaker 5: Yeah, I think this is super interesting, Alex And something 324 00:16:47,680 --> 00:16:49,760 Speaker 5: we've been actually exploring over the course of the last 325 00:16:49,760 --> 00:16:52,480 Speaker 5: two weeks as well is what's happening in the market 326 00:16:52,520 --> 00:16:55,720 Speaker 5: is quite interesting. Beneath that headline, what we see is 327 00:16:55,800 --> 00:17:00,560 Speaker 5: actually tech stops relative performance, failing to make new so 328 00:17:00,640 --> 00:17:04,520 Speaker 5: tech appears to be consolidating, even communications, as you noted, 329 00:17:04,520 --> 00:17:08,199 Speaker 5: with Alphabet sort of breaking down, communication stocks have been 330 00:17:08,240 --> 00:17:10,520 Speaker 5: in a bit of a downtrend. At the same time 331 00:17:10,640 --> 00:17:13,400 Speaker 5: the broader markets are moving higher and that's because we're 332 00:17:13,440 --> 00:17:17,399 Speaker 5: seeing greater participation outside tech really push those markets higher. 333 00:17:17,760 --> 00:17:20,680 Speaker 5: Within the Nasdaq, for instance, you've started to see breakouts 334 00:17:20,720 --> 00:17:24,399 Speaker 5: in healthcare. Healthcare of courses is horrible laggard in twenty 335 00:17:24,480 --> 00:17:27,520 Speaker 5: twenty three. If you get momentum games in the rest 336 00:17:27,520 --> 00:17:30,240 Speaker 5: of the market and tech just stalls or even starts 337 00:17:30,280 --> 00:17:33,000 Speaker 5: to break down a little bit, you can see stocks work. 338 00:17:33,040 --> 00:17:34,720 Speaker 5: And the last week and a half or so has 339 00:17:35,000 --> 00:17:38,560 Speaker 5: proves some evidence of that case. We do need to see, though, 340 00:17:38,600 --> 00:17:41,240 Speaker 5: participation continue to emerge in the rest of the market 341 00:17:41,280 --> 00:17:44,040 Speaker 5: if tech is indeed going into a stall state. 342 00:17:45,240 --> 00:17:47,120 Speaker 3: All right, Gina, thanks so much for joining us, as 343 00:17:47,160 --> 00:17:48,080 Speaker 3: always appreciate it. 344 00:17:48,119 --> 00:17:48,320 Speaker 4: Geina. 345 00:17:48,359 --> 00:17:51,600 Speaker 3: Martin Adams, chief equity strategist for Bloomberg Intelligence, joining us 346 00:17:51,600 --> 00:17:52,960 Speaker 3: from zoom from NJ. 347 00:17:54,920 --> 00:17:58,800 Speaker 2: You're listening to the Bloomberg Intelligence podcast. Catch us live 348 00:17:58,880 --> 00:18:01,639 Speaker 2: weekdays at ten am on Eppo car Play and then 349 00:18:01,720 --> 00:18:04,600 Speaker 2: broud Otto with the Bloomberg Business app. Listen on demand 350 00:18:04,640 --> 00:18:08,960 Speaker 2: wherever you get your podcasts, or watch us live on YouTube. 351 00:18:09,480 --> 00:18:11,119 Speaker 8: Let's get broader market. I want to pick up on 352 00:18:11,160 --> 00:18:12,879 Speaker 8: where John Tucker sort of left off there, which is 353 00:18:12,960 --> 00:18:16,400 Speaker 8: the Russell. It's at a highest level since twenty twenty two, 354 00:18:16,640 --> 00:18:18,960 Speaker 8: and again the signs of the broadening part of the 355 00:18:19,040 --> 00:18:21,359 Speaker 8: rally and all of that significant as certain parts of 356 00:18:21,400 --> 00:18:24,440 Speaker 8: tech really start to underperform. So joining us now is 357 00:18:24,480 --> 00:18:27,720 Speaker 8: Grace Lee, senior portfolio manager for Columbia Thread Needle. She 358 00:18:27,840 --> 00:18:30,480 Speaker 8: is standing by for us. Is this the moment for 359 00:18:30,600 --> 00:18:33,080 Speaker 8: value and is it going to last? 360 00:18:34,320 --> 00:18:36,879 Speaker 4: That's a great question, and thanks for having me on today. 361 00:18:38,000 --> 00:18:42,720 Speaker 4: I think we're getting closer to a tipping point for value. 362 00:18:42,760 --> 00:18:46,600 Speaker 4: I think you know, last year our value was certainly 363 00:18:46,680 --> 00:18:50,639 Speaker 4: hit with a double whammy of rates rising, hurting a 364 00:18:50,680 --> 00:18:55,040 Speaker 4: lot of the defensive sectors, and then you had the 365 00:18:55,480 --> 00:19:00,000 Speaker 4: AI trade where our value really doesn't play very obviously 366 00:19:00,160 --> 00:19:03,239 Speaker 4: in the first round. But I think right now what 367 00:19:03,240 --> 00:19:07,200 Speaker 4: you're seeing is is people are looking for other other 368 00:19:07,280 --> 00:19:11,240 Speaker 4: opportunities and even other ways to play the AI trade, 369 00:19:12,000 --> 00:19:14,560 Speaker 4: and we're seeing rate cuts on the horizon, and I 370 00:19:14,600 --> 00:19:18,280 Speaker 4: think that's that's also going to be you know, a 371 00:19:18,840 --> 00:19:21,280 Speaker 4: it's going to drive a return to some of these 372 00:19:21,359 --> 00:19:23,200 Speaker 4: underperforming sectors from last year. 373 00:19:24,000 --> 00:19:26,760 Speaker 3: Grace, how do you find define value? 374 00:19:27,560 --> 00:19:31,560 Speaker 4: I like this, Well, we look at value in a 375 00:19:31,640 --> 00:19:33,640 Speaker 4: number of ways. I think you know, we do look 376 00:19:33,680 --> 00:19:36,600 Speaker 4: to the Rustle one thousand. Value is as sort of 377 00:19:36,680 --> 00:19:41,960 Speaker 4: the you know, the broader index, but but it also 378 00:19:42,040 --> 00:19:47,600 Speaker 4: involves just looking for undervalued opportunities and and so you know, 379 00:19:47,640 --> 00:19:50,159 Speaker 4: I think one thing that has been overlooked is that 380 00:19:50,640 --> 00:19:54,359 Speaker 4: a lot of companies are going through transformations. And and 381 00:19:54,560 --> 00:19:57,840 Speaker 4: you know, as much as people think that that, you know, 382 00:19:57,920 --> 00:20:02,640 Speaker 4: equities are are valued or something, but there's there's always pockets, 383 00:20:02,680 --> 00:20:04,040 Speaker 4: and we look for those pockets. 384 00:20:04,680 --> 00:20:04,840 Speaker 7: You know. 385 00:20:04,880 --> 00:20:07,480 Speaker 4: I think City Group is actually a really interesting example 386 00:20:07,520 --> 00:20:11,959 Speaker 4: where the company is going through a significant transformation, simplifying 387 00:20:12,000 --> 00:20:16,280 Speaker 4: the business, really driving better accountability, and you know that 388 00:20:16,480 --> 00:20:20,800 Speaker 4: that stock still trades a maybe seventy percent of book value, 389 00:20:21,200 --> 00:20:23,439 Speaker 4: and we think that that one's very interesting. So we 390 00:20:23,480 --> 00:20:26,760 Speaker 4: look for those types of opportunities where even in a 391 00:20:26,880 --> 00:20:29,879 Speaker 4: very strong market, you know, you look under the covers 392 00:20:29,880 --> 00:20:33,120 Speaker 4: and there's always something there that looks interesting. 393 00:20:33,800 --> 00:20:37,560 Speaker 8: What gives you confidence at this time will be different? 394 00:20:37,680 --> 00:20:40,919 Speaker 8: I mean I feel like value, specifically small caps go 395 00:20:41,000 --> 00:20:43,919 Speaker 8: there had their chance their moment last year, it didn't 396 00:20:44,000 --> 00:20:44,920 Speaker 8: last for very long. 397 00:20:45,960 --> 00:20:49,600 Speaker 4: What do you think, Well, I think it does feel 398 00:20:49,680 --> 00:20:54,520 Speaker 4: like it's always one step forward, two steps back for value. 399 00:20:54,680 --> 00:20:56,840 Speaker 4: And I think you know, to a certain extent you 400 00:20:56,920 --> 00:21:01,080 Speaker 4: can you can certainly extend that to small caps. But 401 00:21:02,160 --> 00:21:05,720 Speaker 4: I think over the long term there is mean reversion, 402 00:21:06,000 --> 00:21:10,240 Speaker 4: and it's it's always hard to pinpoint exactly what will 403 00:21:10,320 --> 00:21:14,320 Speaker 4: drive that and when that will happen. But you know, 404 00:21:14,440 --> 00:21:16,760 Speaker 4: AI is not going to eat the world. It's it's 405 00:21:16,760 --> 00:21:20,640 Speaker 4: certainly growing very fast, and we have very high optimism 406 00:21:20,680 --> 00:21:24,080 Speaker 4: on on what it can accomplish. But but there are 407 00:21:24,160 --> 00:21:28,119 Speaker 4: other sectors and and things have to sort of normalize 408 00:21:28,119 --> 00:21:28,400 Speaker 4: a bit. 409 00:21:29,320 --> 00:21:32,119 Speaker 3: So are there sectors per se that that you like 410 00:21:32,200 --> 00:21:34,800 Speaker 3: here or do you kind of go stock by stock? 411 00:21:35,200 --> 00:21:37,080 Speaker 3: How do you guys screen for value? 412 00:21:38,520 --> 00:21:43,240 Speaker 4: So there are some sectors that that are interesting, you know, 413 00:21:43,280 --> 00:21:47,400 Speaker 4: I think healthcare which was mentioned earlier, there's a lot 414 00:21:47,400 --> 00:21:51,600 Speaker 4: of interesting value names there. AD buys or I would 415 00:21:51,600 --> 00:21:54,680 Speaker 4: call out is the stock is the stock dividend is 416 00:21:54,720 --> 00:21:57,560 Speaker 4: actually higher than any of its A rated bonds right now, 417 00:21:58,320 --> 00:22:01,760 Speaker 4: which which is an interesting setup, and they've been emphatic 418 00:22:01,840 --> 00:22:04,680 Speaker 4: in terms of saying that they will support that dividend. 419 00:22:05,320 --> 00:22:11,240 Speaker 4: So I think that one's interesting. So aside from healthcare, 420 00:22:11,240 --> 00:22:16,040 Speaker 4: I think there are also very uh company specific opportunities, 421 00:22:16,960 --> 00:22:19,400 Speaker 4: you know, and we we've looked at the AI trade 422 00:22:19,440 --> 00:22:23,320 Speaker 4: and AI is not value, but there are certainly uh 423 00:22:23,760 --> 00:22:29,600 Speaker 4: opportunities for for AI participation amongst value names, and I 424 00:22:29,640 --> 00:22:33,440 Speaker 4: think that's probably one of the most the most interesting 425 00:22:34,600 --> 00:22:38,560 Speaker 4: things within our space right now. So I think I 426 00:22:38,560 --> 00:22:40,520 Speaker 4: think old tech is actually seeing a bit of a 427 00:22:40,560 --> 00:22:45,320 Speaker 4: renaissance driven by AI. Where people used to think that 428 00:22:45,320 --> 00:22:49,520 Speaker 4: that servers and storage were kind of low growth, may 429 00:22:49,560 --> 00:22:52,000 Speaker 4: be dead for a while because everyone's moving to the 430 00:22:52,000 --> 00:22:56,040 Speaker 4: cloud and they need less hardware. But you know, as 431 00:22:56,160 --> 00:22:58,720 Speaker 4: we're we're seeing now that is not the case, and 432 00:22:58,880 --> 00:23:02,639 Speaker 4: there's there's AI servers that's driving a lot of growth, 433 00:23:03,400 --> 00:23:06,000 Speaker 4: you know both. So I think we saw that specifically 434 00:23:06,040 --> 00:23:09,720 Speaker 4: with Dell, which were actually involved in and and you 435 00:23:09,760 --> 00:23:15,359 Speaker 4: know that company. It was not initially a an AI 436 00:23:15,680 --> 00:23:19,320 Speaker 4: play for us. It was really that PCs are going 437 00:23:19,359 --> 00:23:23,399 Speaker 4: to see a refresh cycle. Servers and storage will certainly 438 00:23:23,440 --> 00:23:27,359 Speaker 4: pick up and they might gain a little bit from AI. 439 00:23:28,080 --> 00:23:29,960 Speaker 4: It looks like the market thinks are going to gain 440 00:23:30,000 --> 00:23:32,760 Speaker 4: a lot more from that. Yeah, And then you've got 441 00:23:32,840 --> 00:23:36,360 Speaker 4: old companies like IBM, which I think again has has 442 00:23:36,400 --> 00:23:39,040 Speaker 4: really transformed itself over the last couple of years and 443 00:23:39,240 --> 00:23:41,840 Speaker 4: become more of a software and services company, which is 444 00:23:41,880 --> 00:23:44,680 Speaker 4: not how you think of the traditional IBM. 445 00:23:45,040 --> 00:23:47,400 Speaker 8: Yeah, and that's exactly what we pointed out. And Paul 446 00:23:47,440 --> 00:23:50,159 Speaker 8: in particular, after earnings for Dell, like that stock just 447 00:23:50,200 --> 00:23:52,359 Speaker 8: like shooting up. It's like, oh right, right, Dell is 448 00:23:52,400 --> 00:23:56,760 Speaker 8: still around. They do stuff. You also like some utilities, why. 449 00:23:58,240 --> 00:24:00,960 Speaker 4: So what what AI is going to do. It's going 450 00:24:01,040 --> 00:24:03,880 Speaker 4: to drive a lot of power demand. And there are 451 00:24:03,920 --> 00:24:07,679 Speaker 4: some and they're they're probably not they're in the utility category, 452 00:24:07,680 --> 00:24:10,960 Speaker 4: but they're the independent power producers and they're the ones 453 00:24:11,000 --> 00:24:15,360 Speaker 4: that will benefit directly from higher power prices. There are 454 00:24:15,400 --> 00:24:20,760 Speaker 4: some that own nuclear assets where clean energy, clean clean 455 00:24:20,880 --> 00:24:23,200 Speaker 4: power is actually going to be very much in demand 456 00:24:23,280 --> 00:24:29,400 Speaker 4: by the large hyper scale cloud providers as they want 457 00:24:29,440 --> 00:24:34,439 Speaker 4: to balance their environmental goals with this this massive demand 458 00:24:34,560 --> 00:24:40,000 Speaker 4: for AI power. So so I think there's there's opportunities there, 459 00:24:40,040 --> 00:24:44,600 Speaker 4: and I think companies that own power producing assets, and 460 00:24:44,720 --> 00:24:47,400 Speaker 4: especially nuclear assets, are very well positioned. 461 00:24:47,800 --> 00:24:49,720 Speaker 8: All right, Grace, thanks lot, We really appreciate it. Thank 462 00:24:49,720 --> 00:24:52,479 Speaker 8: you so much for joining. Grace Lee, Senior portfolio manager 463 00:24:52,520 --> 00:24:54,160 Speaker 8: for Columbia thread Needle. 464 00:24:55,640 --> 00:24:59,520 Speaker 2: You're listening to the Bloomberg Intelligence podcast. Catch us Live 465 00:24:59,640 --> 00:25:03,120 Speaker 2: we get ten am Eastern on Applecar Play and Android 466 00:25:03,160 --> 00:25:05,960 Speaker 2: Auto with a Bloomberg Business Act. You can also listen 467 00:25:06,040 --> 00:25:09,160 Speaker 2: live on Amazon Alexa from our flagship New York station, 468 00:25:09,520 --> 00:25:12,320 Speaker 2: Just Say Alexa playing Bloomberg eleven thirty. 469 00:25:13,400 --> 00:25:15,760 Speaker 8: Let's talk about the real economy front real world. Yeah, 470 00:25:15,800 --> 00:25:19,000 Speaker 8: let's talk about the real world here. So Arcadus is 471 00:25:19,160 --> 00:25:22,360 Speaker 8: a company based in Amsterdam, but the bulk of their 472 00:25:22,400 --> 00:25:26,000 Speaker 8: revenue really now comes from the US and Canada. And 473 00:25:26,240 --> 00:25:32,560 Speaker 8: they do things like sustainable design, engineering, consultancy, solutions for assets, 474 00:25:32,600 --> 00:25:35,719 Speaker 8: they build stuff, and just to make Paul happy, they 475 00:25:35,720 --> 00:25:38,480 Speaker 8: are also working on the Hudson Tunnel project. 476 00:25:38,640 --> 00:25:39,040 Speaker 2: Thank you. 477 00:25:39,119 --> 00:25:41,719 Speaker 8: That's going to get about twelve billion dollars in federal funding. 478 00:25:41,760 --> 00:25:44,720 Speaker 8: It includes two four and a half mile long tracks 479 00:25:44,760 --> 00:25:47,679 Speaker 8: and tunneling. It's a big deal. So I always love 480 00:25:47,760 --> 00:25:49,760 Speaker 8: checking on these companies because they're the people who are 481 00:25:49,760 --> 00:25:51,879 Speaker 8: putting your shovels in the ground, right, And that's what 482 00:25:51,880 --> 00:25:54,480 Speaker 8: we really want to understand. And we're lucky now to 483 00:25:54,640 --> 00:25:59,159 Speaker 8: join Virginie Duperrat. She is CFO of Arcadis. She's in 484 00:25:59,280 --> 00:26:02,720 Speaker 8: town joining us. It's so wonderful to have you here. 485 00:26:02,880 --> 00:26:04,199 Speaker 8: Thank you for joining us. 486 00:26:04,800 --> 00:26:06,920 Speaker 9: Thank you Alex, and thank you Paul, and very happy 487 00:26:06,960 --> 00:26:08,520 Speaker 9: to be with you tomorrow this morning. 488 00:26:08,920 --> 00:26:11,800 Speaker 8: So in Amsterdam over in Europe, I should say, right, 489 00:26:11,800 --> 00:26:13,679 Speaker 8: a fifty two week high for the stock earning is 490 00:26:13,680 --> 00:26:16,560 Speaker 8: super good. You got a strong story. I just want 491 00:26:16,560 --> 00:26:18,960 Speaker 8: to get your take on kind of what how's it 492 00:26:19,040 --> 00:26:23,080 Speaker 8: going like, how what demand is like? Where in the 493 00:26:23,160 --> 00:26:25,960 Speaker 8: world are you seeing the most demand and for what stuff? 494 00:26:27,280 --> 00:26:29,679 Speaker 9: Thank you, Alex. I think that we are in a 495 00:26:29,800 --> 00:26:34,359 Speaker 9: very buoyant moment. Frankly, it is not started yesterday already, 496 00:26:34,560 --> 00:26:37,159 Speaker 9: I think you know, just after COVID we started to 497 00:26:37,240 --> 00:26:41,200 Speaker 9: see some changes, but definitely there is quite an ask 498 00:26:41,240 --> 00:26:45,639 Speaker 9: at the moment for more sustainable things and quite a change. 499 00:26:45,640 --> 00:26:49,080 Speaker 9: Also we see a lot of traction in the sustainability 500 00:26:49,119 --> 00:26:53,359 Speaker 9: space boss in Europe and on the US continent, and 501 00:26:53,440 --> 00:26:58,080 Speaker 9: that happens in very different areas such as climate adaptation. 502 00:26:58,240 --> 00:27:02,360 Speaker 9: Obviously if you think about out some of the storms 503 00:27:02,359 --> 00:27:05,399 Speaker 9: that are increasing, but also the rainfalls that now you 504 00:27:05,440 --> 00:27:07,720 Speaker 9: can get, you know, the volume of a month within 505 00:27:07,760 --> 00:27:08,160 Speaker 9: an hour. 506 00:27:08,320 --> 00:27:14,240 Speaker 8: And then in New York we definitely feel that. God 507 00:27:14,560 --> 00:27:17,840 Speaker 8: So to that point though, I hear you, and politically 508 00:27:17,920 --> 00:27:19,840 Speaker 8: as well, you get the Chips Act here, the Infrastructure 509 00:27:19,880 --> 00:27:22,679 Speaker 8: Act and the IRA, and there's so much money to 510 00:27:22,720 --> 00:27:25,960 Speaker 8: be deployed so quickly. But I'm seeing a disconnect, particularly 511 00:27:25,960 --> 00:27:30,679 Speaker 8: in industrials, about backlog and projects versus actually getting money, 512 00:27:30,720 --> 00:27:33,800 Speaker 8: like people actually poining up the cash. Are you guys 513 00:27:33,800 --> 00:27:35,080 Speaker 8: noticing that right now too? 514 00:27:36,400 --> 00:27:38,679 Speaker 9: If we are honest, we need to admit, you know 515 00:27:38,760 --> 00:27:41,680 Speaker 9: that all these similar packages in some respect of creating 516 00:27:41,760 --> 00:27:44,120 Speaker 9: some sort of a pose because suddenly, you know, people 517 00:27:44,200 --> 00:27:46,280 Speaker 9: are saying, I could get a bunch of money, so 518 00:27:46,320 --> 00:27:50,520 Speaker 9: then you know I should wait to make my decisions. 519 00:27:50,560 --> 00:27:53,720 Speaker 9: We've been some people hesitating between the stimulus in Europe 520 00:27:53,800 --> 00:27:56,920 Speaker 9: versus the stimidius in the US, but what we can 521 00:27:56,960 --> 00:28:00,280 Speaker 9: see is that traction is now coming. We are already 522 00:28:00,359 --> 00:28:02,639 Speaker 9: have a first project. For example, we work on the 523 00:28:02,720 --> 00:28:07,680 Speaker 9: Nano Research Center in New York Albany, which is funded 524 00:28:08,480 --> 00:28:12,680 Speaker 9: by stimulus package money, and we still have other projects 525 00:28:12,680 --> 00:28:15,400 Speaker 9: coming in. We also have the same thing in Europe 526 00:28:15,480 --> 00:28:18,880 Speaker 9: with a very large semiconductor factory in Germany one mile 527 00:28:18,960 --> 00:28:22,720 Speaker 9: per one mile or a very large thing. And definitely 528 00:28:23,960 --> 00:28:26,840 Speaker 9: there is the need for more of these elements. And 529 00:28:26,880 --> 00:28:29,920 Speaker 9: then this is going to happen, but probably H two 530 00:28:29,960 --> 00:28:31,720 Speaker 9: will be showing us more of. 531 00:28:31,640 --> 00:28:35,440 Speaker 3: That so I would think for your business, those projects 532 00:28:35,480 --> 00:28:38,120 Speaker 3: that you work on are just some multi year projects. 533 00:28:38,520 --> 00:28:41,200 Speaker 3: What kind of visibility do you have into your business 534 00:28:41,240 --> 00:28:41,880 Speaker 3: going forward? 535 00:28:42,800 --> 00:28:46,320 Speaker 9: We have quite a long term visibility. Our way of 536 00:28:46,360 --> 00:28:51,000 Speaker 9: freakenting backlog whatever is very conservative and then our backlog 537 00:28:51,040 --> 00:28:53,160 Speaker 9: at any moment is not more than ten months. Is 538 00:28:53,520 --> 00:28:56,720 Speaker 9: but if we consider our entire pipeline, quite a number 539 00:28:56,720 --> 00:29:00,200 Speaker 9: of our project like the asentannel, you are referring to 540 00:29:00,200 --> 00:29:02,880 Speaker 9: several years projects, so we have visibility in what's going 541 00:29:02,920 --> 00:29:08,720 Speaker 9: to happen. We recently signed a strong project in Europe 542 00:29:09,040 --> 00:29:17,360 Speaker 9: with Shell about gas extraction cleaning to get the rebigation 543 00:29:17,560 --> 00:29:21,600 Speaker 9: of the soil and convert that, you know, potentially either 544 00:29:21,760 --> 00:29:26,200 Speaker 9: back into farmland the one it's theremediated or into a 545 00:29:26,240 --> 00:29:31,840 Speaker 9: different sort of compression storage for example for energy. So 546 00:29:32,120 --> 00:29:34,640 Speaker 9: this type of project gives you a ten year of 547 00:29:34,720 --> 00:29:37,800 Speaker 9: visibility on some of those different things. We have also 548 00:29:37,920 --> 00:29:40,840 Speaker 9: large frameworks with some clients you know that also want 549 00:29:40,920 --> 00:29:43,360 Speaker 9: us to accompany on the long time and very long 550 00:29:43,400 --> 00:29:47,040 Speaker 9: lasting relationship here in the US with more seventy years 551 00:29:47,080 --> 00:29:47,840 Speaker 9: with some clients. 552 00:29:48,120 --> 00:29:50,200 Speaker 8: Yeah, and I know that at least in my world, 553 00:29:50,320 --> 00:29:52,640 Speaker 8: I do energy transition stuff. A lot of businesses are 554 00:29:52,680 --> 00:29:54,720 Speaker 8: just like they're staying in the queue for stuff even 555 00:29:54,760 --> 00:29:55,920 Speaker 8: if they don't need it or they don't have the 556 00:29:55,960 --> 00:29:58,200 Speaker 8: money right now, because it just takes so long to 557 00:29:58,280 --> 00:30:02,600 Speaker 8: get on a line. And if it's like companies like yours, 558 00:30:02,640 --> 00:30:05,040 Speaker 8: at the end of the day, I'm interested in terms 559 00:30:05,080 --> 00:30:09,240 Speaker 8: of how you're managing costs, like where are you still 560 00:30:09,280 --> 00:30:12,760 Speaker 8: seeing inflation, where are you seeing deflation? And where do 561 00:30:12,800 --> 00:30:14,120 Speaker 8: you feel like prices are sticky? 562 00:30:15,720 --> 00:30:20,160 Speaker 9: So I think we've been over the worst phase of inflation, obviously, 563 00:30:20,920 --> 00:30:24,080 Speaker 9: But at the end of the day, when we talk about, 564 00:30:24,120 --> 00:30:26,720 Speaker 9: you know, such a large project like the Santanel or 565 00:30:27,600 --> 00:30:30,280 Speaker 9: other project we are in, the share of course that 566 00:30:30,360 --> 00:30:34,040 Speaker 9: we represent is super small. So I wouldn't be honest 567 00:30:34,080 --> 00:30:36,840 Speaker 9: if I'm not admitting, you know that pushing inflation in 568 00:30:36,880 --> 00:30:40,320 Speaker 9: our revenue has not been really a key question. That's 569 00:30:40,400 --> 00:30:42,680 Speaker 9: been something you know that the way we organize, the 570 00:30:42,680 --> 00:30:44,680 Speaker 9: way we work and what we deliver you know, for 571 00:30:44,840 --> 00:30:49,480 Speaker 9: our clients has been something quite smooth, and the operating 572 00:30:49,520 --> 00:30:51,840 Speaker 9: performance of the last few years have shown that. 573 00:30:52,320 --> 00:30:56,320 Speaker 3: So what type of specific consulting services do you provide? 574 00:30:56,360 --> 00:30:59,680 Speaker 3: You focus just trying to get a sense of how 575 00:31:00,120 --> 00:31:02,320 Speaker 3: what role you guys play in these different projects. 576 00:31:02,720 --> 00:31:06,440 Speaker 9: So Arcadis would be able to intervene around any natural 577 00:31:06,600 --> 00:31:10,719 Speaker 9: or built asset from the very beginning conception thinking and 578 00:31:10,760 --> 00:31:15,480 Speaker 9: such down to remediation and potentially dismantling. So that's where 579 00:31:15,520 --> 00:31:18,800 Speaker 9: we operate, and in that space we will never take 580 00:31:18,840 --> 00:31:21,440 Speaker 9: any construction. This is not where we operate, but we 581 00:31:21,520 --> 00:31:24,760 Speaker 9: are really an advisor, a consultant that will be able 582 00:31:24,840 --> 00:31:33,120 Speaker 9: to give environmental permitting for example, or design construction. Architecture 583 00:31:33,200 --> 00:31:38,880 Speaker 9: also thinks about the fifth Avenue. We've been recently refurbishing 584 00:31:38,920 --> 00:31:40,040 Speaker 9: the Tiffany store. 585 00:31:40,080 --> 00:31:44,120 Speaker 10: But you know, towards you guys, yes, okay, okay, all right, 586 00:31:46,200 --> 00:31:49,800 Speaker 10: yeah right, So what is the hardest part of your 587 00:31:49,800 --> 00:31:50,600 Speaker 10: business right now? 588 00:31:50,680 --> 00:31:54,440 Speaker 8: Like what keeps you up at night? As CFO, what. 589 00:31:54,560 --> 00:31:58,400 Speaker 9: Keeps me upset night? My kid is more than my job. 590 00:31:59,000 --> 00:32:03,440 Speaker 8: I really get that. Yeah, for sure, I'm just curious 591 00:32:03,440 --> 00:32:06,040 Speaker 8: as to what the hardest part of your job is. 592 00:32:08,720 --> 00:32:12,280 Speaker 9: This is a very fragmented portfolio. So you know, you 593 00:32:12,440 --> 00:32:14,920 Speaker 9: need to have a view on everything, and you need 594 00:32:14,920 --> 00:32:16,640 Speaker 9: to admit also that you can't have a view on 595 00:32:17,000 --> 00:32:18,880 Speaker 9: everything at the same time. So it's the way you 596 00:32:18,920 --> 00:32:22,200 Speaker 9: are organized, the way you make people, you know, have 597 00:32:22,320 --> 00:32:24,720 Speaker 9: the information that they need to make the relevant decision 598 00:32:25,040 --> 00:32:28,320 Speaker 9: at any moment. And part of our new strategic cycle 599 00:32:28,440 --> 00:32:32,360 Speaker 9: is really around that there's more project outside that project 600 00:32:32,400 --> 00:32:34,160 Speaker 9: that we can see. So then what do we do 601 00:32:34,200 --> 00:32:37,440 Speaker 9: internally to make sure that our salesforce has a capability 602 00:32:37,680 --> 00:32:40,320 Speaker 9: to make the right decision and not work on a 603 00:32:40,440 --> 00:32:41,840 Speaker 9: first and first mode? 604 00:32:41,880 --> 00:32:44,800 Speaker 3: You know, I see they have about thirty five thousand employees. 605 00:32:45,120 --> 00:32:48,960 Speaker 3: Is it hard to attract and retain employees in your business? 606 00:32:50,960 --> 00:32:55,040 Speaker 9: There are some difficult elements, but obviously we've worked a 607 00:32:55,120 --> 00:32:57,240 Speaker 9: lot on that. Maybe one you hand a half ago 608 00:32:57,360 --> 00:33:00,840 Speaker 9: we were above fourteen percent attrition rate, which was quite 609 00:33:00,920 --> 00:33:04,000 Speaker 9: high just after COVID, So we worked a lot into 610 00:33:04,040 --> 00:33:08,040 Speaker 9: that trying to understand what's happening in terms of engagement score. 611 00:33:08,200 --> 00:33:10,760 Speaker 9: Now we close the year of fifty two, which puts 612 00:33:10,880 --> 00:33:14,280 Speaker 9: US in the highest quartile of our industry, and our 613 00:33:14,560 --> 00:33:18,000 Speaker 9: nutrition is down, you know, just above eleven percent. 614 00:33:18,200 --> 00:33:21,959 Speaker 3: Are you backed in Amsterdam? Are you back to office hybrid? 615 00:33:22,040 --> 00:33:22,560 Speaker 3: What are you doing? 616 00:33:23,080 --> 00:33:26,440 Speaker 9: We are hybrid. We've reduced our office print by thirty 617 00:33:26,480 --> 00:33:27,920 Speaker 9: five percent, you know. 618 00:33:28,040 --> 00:33:30,320 Speaker 8: As the last yes, So what is your policy? 619 00:33:30,360 --> 00:33:32,720 Speaker 3: How does it work for you? Guys. So in Amsterdam, 620 00:33:32,760 --> 00:33:34,440 Speaker 3: for example, Well. 621 00:33:34,760 --> 00:33:36,720 Speaker 9: I would not talk about the head quarter, you know, 622 00:33:36,760 --> 00:33:38,880 Speaker 9: because this is not where it is buoyant and where 623 00:33:38,960 --> 00:33:41,920 Speaker 9: you have a life of the company. But in a 624 00:33:42,000 --> 00:33:45,720 Speaker 9: normal office where we operate for project and for client 625 00:33:45,880 --> 00:33:50,280 Speaker 9: number one, you potentially have people with the client on 626 00:33:50,400 --> 00:33:54,240 Speaker 9: mix site working on the project from time to time 627 00:33:54,360 --> 00:33:56,200 Speaker 9: if we can do it. We love, you know, having 628 00:33:56,240 --> 00:33:59,000 Speaker 9: those teams in our offices because that's you know, quite 629 00:33:59,040 --> 00:34:03,880 Speaker 9: attractive and stimulate everyone, and we we encourage them to 630 00:34:04,400 --> 00:34:07,360 Speaker 9: come in the office two to three days a week. 631 00:34:07,400 --> 00:34:10,480 Speaker 9: But we have, you know, broken our capabilities in terms 632 00:34:10,520 --> 00:34:13,760 Speaker 9: of open spaces and search to create more collaborative spaces 633 00:34:13,840 --> 00:34:16,360 Speaker 9: where a team would gather and go into a specific 634 00:34:17,239 --> 00:34:19,279 Speaker 9: meeting that they have prepared and where they want to 635 00:34:19,320 --> 00:34:19,920 Speaker 9: collaborate on. 636 00:34:20,000 --> 00:34:22,799 Speaker 8: Okay, right, Virginie, thank you so much. Really appreciate your time. 637 00:34:22,840 --> 00:34:25,680 Speaker 8: It was really wonderful to get that perspective. Virginie du 638 00:34:25,760 --> 00:34:30,080 Speaker 8: Parachi joins us Arcadus chief financial Officer. You're jealous of 639 00:34:30,120 --> 00:34:33,560 Speaker 8: the work, Yeah, yes, you want the remote radio working. 640 00:34:33,800 --> 00:34:35,680 Speaker 8: That's part of things it works. 641 00:34:37,200 --> 00:34:41,080 Speaker 2: You're listening to the Bloomberg Intelligence podcast Catch us Live 642 00:34:41,160 --> 00:34:44,200 Speaker 2: weekdays at ten am Eastern on Apple Car Play and 643 00:34:44,200 --> 00:34:47,480 Speaker 2: Android Auto with the Bloomberg Business. You can also listen 644 00:34:47,600 --> 00:34:50,680 Speaker 2: live on Amazon Alexa from our flagship New York station, 645 00:34:51,080 --> 00:34:53,840 Speaker 2: Just say Alexa play Bloomberg eleven thirty. 646 00:34:55,080 --> 00:34:58,799 Speaker 8: Let's get the sort of innovation startups, how do you 647 00:34:58,800 --> 00:35:01,160 Speaker 8: get it done? How do you start a business? What 648 00:35:01,200 --> 00:35:02,719 Speaker 8: does it mean? How do you do it in the 649 00:35:02,719 --> 00:35:05,319 Speaker 8: world of AI. Also, and there's a great person to 650 00:35:05,320 --> 00:35:08,320 Speaker 8: talk to you about this, Sunny Bonell. She's co founder 651 00:35:08,400 --> 00:35:12,839 Speaker 8: and CEO of Mato, which is a global brand strategy 652 00:35:12,880 --> 00:35:18,120 Speaker 8: and design firm focused on brand transformations for innovative tech companies. 653 00:35:18,360 --> 00:35:20,120 Speaker 8: So let's get more on all of this and what 654 00:35:20,160 --> 00:35:22,040 Speaker 8: it means and how hard it is to start a business. 655 00:35:22,080 --> 00:35:23,720 Speaker 8: I certainly don't want to do that, by the way, 656 00:35:24,160 --> 00:35:27,200 Speaker 8: Sonny joins us. Now, Sonny, first of all, what is Mato. 657 00:35:28,880 --> 00:35:32,879 Speaker 11: Well, we are a brand strategy and design agency and 658 00:35:33,200 --> 00:35:36,920 Speaker 11: we work on brand transformations for innovative tech companies. As 659 00:35:36,960 --> 00:35:40,760 Speaker 11: you said there, we typically join forces with visionary leadership 660 00:35:40,760 --> 00:35:44,799 Speaker 11: teams executive teams at very pivotal inflection points in their 661 00:35:44,840 --> 00:35:47,200 Speaker 11: business to help them sort of define what's new and 662 00:35:47,239 --> 00:35:50,120 Speaker 11: what's next. And we really are known as this kind 663 00:35:50,120 --> 00:35:53,280 Speaker 11: of big idea company, So we work with leadership teams 664 00:35:53,280 --> 00:35:55,439 Speaker 11: to kind of find what is that big idea worth 665 00:35:55,520 --> 00:35:59,359 Speaker 11: ratling around, how do we make it famous for them, 666 00:35:59,360 --> 00:36:01,920 Speaker 11: how do we areticulate it within the company and without 667 00:36:01,920 --> 00:36:04,640 Speaker 11: the company in terms of external and how do we 668 00:36:04,719 --> 00:36:08,000 Speaker 11: get people really excited to champion and build that future 669 00:36:08,040 --> 00:36:11,319 Speaker 11: with them. So that's kind of us working with all 670 00:36:11,360 --> 00:36:16,759 Speaker 11: sorts of brands like Minnesota, Vikings, Google, Hershey's, Virgin and 671 00:36:16,920 --> 00:36:18,799 Speaker 11: a lot of challenger startups as well. 672 00:36:19,160 --> 00:36:22,319 Speaker 3: So, Sonny, what's I guess some of the types of 673 00:36:22,320 --> 00:36:25,520 Speaker 3: work you're doing now with clients and maybe how's that 674 00:36:25,600 --> 00:36:26,640 Speaker 3: changed over the years. 675 00:36:28,360 --> 00:36:29,080 Speaker 9: Well, I think a. 676 00:36:29,040 --> 00:36:32,000 Speaker 11: Lot of teams in particular, are you know, navigating a 677 00:36:32,040 --> 00:36:34,000 Speaker 11: very tricky landscape, and so a lot of our work 678 00:36:34,040 --> 00:36:38,480 Speaker 11: is really focused on leadership alignment. Many teams, with the 679 00:36:38,960 --> 00:36:42,040 Speaker 11: advance of AI, with the way the world is evolving 680 00:36:42,080 --> 00:36:45,600 Speaker 11: and changing so quickly, they need to adapt and be 681 00:36:45,680 --> 00:36:48,399 Speaker 11: very agile, and so what we're often doing is we're 682 00:36:48,480 --> 00:36:51,040 Speaker 11: coming in and working with visionary leadership teams to sort 683 00:36:51,080 --> 00:36:54,399 Speaker 11: of help them align around what is it that they're 684 00:36:54,400 --> 00:36:57,279 Speaker 11: fighting for, what is it that they're fighting against, what 685 00:36:57,400 --> 00:37:00,040 Speaker 11: future are they trying to move the organization towards and 686 00:37:00,920 --> 00:37:04,000 Speaker 11: how do we get everybody to adopt that and really 687 00:37:04,040 --> 00:37:07,600 Speaker 11: buy into that future And and most importantly, you know, 688 00:37:07,719 --> 00:37:11,440 Speaker 11: really not just not just anticipate it, but really be 689 00:37:11,520 --> 00:37:16,080 Speaker 11: proactive and trying to move their businesses to that future 690 00:37:16,120 --> 00:37:20,080 Speaker 11: so they can remain relevant and achieve resonance in this 691 00:37:20,480 --> 00:37:21,920 Speaker 11: wild landscape that we're all in. 692 00:37:22,920 --> 00:37:25,560 Speaker 8: Do you feel like companies Paul and I were in 693 00:37:26,160 --> 00:37:28,040 Speaker 8: Newark at nj T earlier in the week, do you 694 00:37:28,040 --> 00:37:32,560 Speaker 8: feel like companies and the c suite really understand the 695 00:37:32,680 --> 00:37:34,920 Speaker 8: role of AI and their business and like, have the 696 00:37:35,000 --> 00:37:38,360 Speaker 8: right vocabulary, have the right strategy, have the right outward 697 00:37:38,400 --> 00:37:39,840 Speaker 8: facing stuff. 698 00:37:42,960 --> 00:37:47,319 Speaker 11: Yes, and no, I think that we're leadership teams need 699 00:37:47,360 --> 00:37:50,920 Speaker 11: to understand that AI is now part of the dominant 700 00:37:50,920 --> 00:37:55,040 Speaker 11: conversation and it is important to not only mobilize your 701 00:37:55,080 --> 00:37:59,560 Speaker 11: team and understand the technology to become really fluent in 702 00:37:59,640 --> 00:38:04,080 Speaker 11: the in the technology, but to adopt that technology company wide. 703 00:38:04,640 --> 00:38:06,719 Speaker 11: But I think it even goes higher up right with 704 00:38:06,840 --> 00:38:10,440 Speaker 11: visionary leadership, which is what I really speak about and 705 00:38:11,280 --> 00:38:13,920 Speaker 11: am an expert in, which is you know, how do 706 00:38:14,640 --> 00:38:18,880 Speaker 11: visionary leaders help their teams not only see that future, 707 00:38:19,320 --> 00:38:22,520 Speaker 11: but continue using these tools to sort of amplify it, 708 00:38:22,600 --> 00:38:27,200 Speaker 11: to make efficiency greater, to just help them transform, to 709 00:38:27,520 --> 00:38:29,720 Speaker 11: to stay relevant and meet that new future. 710 00:38:30,600 --> 00:38:32,160 Speaker 3: Sonny, it used to be back in the day. If 711 00:38:32,160 --> 00:38:33,560 Speaker 3: you want to build a brand, you just bought a 712 00:38:33,560 --> 00:38:37,720 Speaker 3: thirty second spot on you know, network television. Those days, 713 00:38:37,840 --> 00:38:41,560 Speaker 3: I believe are over. What are some successful ways or 714 00:38:41,640 --> 00:38:46,440 Speaker 3: strategies that you've used with some of your clients. 715 00:38:47,320 --> 00:38:50,120 Speaker 1: Well, I think a lot of it is positioning, you know, 716 00:38:50,200 --> 00:38:53,400 Speaker 1: making sure that you have a very clear. 717 00:38:53,200 --> 00:38:55,880 Speaker 11: Point of view, what do you stand for, what do 718 00:38:55,960 --> 00:38:59,120 Speaker 11: you stand against? And more importantly, how do you get everybody, 719 00:39:00,080 --> 00:39:03,719 Speaker 11: both your audience and your internal team aligned to that? 720 00:39:03,960 --> 00:39:05,880 Speaker 11: And then what is that sort of core story that 721 00:39:05,920 --> 00:39:09,000 Speaker 11: you're trying to tell and to remain that to build 722 00:39:09,000 --> 00:39:12,239 Speaker 11: that authenticity within the company. So you're trying to sort 723 00:39:12,239 --> 00:39:14,880 Speaker 11: of have something to say, not just something to sell, 724 00:39:15,160 --> 00:39:19,480 Speaker 11: and that's extraordinarily difficult when things are very competitive, when 725 00:39:19,480 --> 00:39:21,400 Speaker 11: you have a lot of people in many. 726 00:39:21,200 --> 00:39:22,719 Speaker 1: Businesses doing the same thing as you. 727 00:39:23,239 --> 00:39:27,319 Speaker 11: What is going to define your competitive advantage? What is 728 00:39:27,360 --> 00:39:29,560 Speaker 11: that cutting edge thing that you bring to the table, 729 00:39:29,840 --> 00:39:31,960 Speaker 11: and how do you get people really excited about it? 730 00:39:32,000 --> 00:39:33,600 Speaker 11: And how do you make it in a way that 731 00:39:33,680 --> 00:39:37,759 Speaker 11: it's clear, it's compelling, it's articulate, and people want to 732 00:39:37,800 --> 00:39:38,360 Speaker 11: be part. 733 00:39:38,200 --> 00:39:39,279 Speaker 1: Of that dialogue. 734 00:39:39,440 --> 00:39:41,279 Speaker 11: And so a lot of our work is really helping 735 00:39:41,360 --> 00:39:45,120 Speaker 11: teams and organizations just define that what is that big idea? 736 00:39:45,440 --> 00:39:47,840 Speaker 11: What is that thing that you want people to rally around, 737 00:39:48,040 --> 00:39:51,240 Speaker 11: and then how do we ultimately, uh, you know, build 738 00:39:51,280 --> 00:39:54,799 Speaker 11: that into the brand and into the mechanisms, into our ecosystem, 739 00:39:55,440 --> 00:39:58,440 Speaker 11: into our language, into our into our brands, you know 740 00:39:58,560 --> 00:40:01,080 Speaker 11: system essentially to get people really excited about that. 741 00:40:01,680 --> 00:40:04,160 Speaker 8: How did you get into this business? And like, how 742 00:40:04,160 --> 00:40:06,840 Speaker 8: did you start your own company? Like what was that journey? 743 00:40:06,920 --> 00:40:10,759 Speaker 11: Like, well, I was on track to be a veterinarian 744 00:40:11,480 --> 00:40:15,160 Speaker 11: no candidate college. Yeah, so my partner and I dropped 745 00:40:15,160 --> 00:40:18,440 Speaker 11: out of college in our early twenties to start Motto 746 00:40:18,640 --> 00:40:21,840 Speaker 11: and we had been moonlighting as designers on the side 747 00:40:22,280 --> 00:40:24,239 Speaker 11: and just kind of fell in love with it and 748 00:40:24,320 --> 00:40:27,080 Speaker 11: started to be hired for it. And so that was 749 00:40:27,080 --> 00:40:29,440 Speaker 11: two thousand and five. This is eighteen years later, and 750 00:40:29,440 --> 00:40:31,600 Speaker 11: now we've worked with some of the biggest brands on 751 00:40:31,640 --> 00:40:34,720 Speaker 11: Earth and it's it's it's a labor of love because 752 00:40:34,920 --> 00:40:37,520 Speaker 11: it's taught us like how to evolve with times. 753 00:40:37,680 --> 00:40:40,359 Speaker 1: When we started, it was yellow pages and digital at 754 00:40:40,560 --> 00:40:42,920 Speaker 1: you know, basically like yeah. 755 00:40:42,800 --> 00:40:46,000 Speaker 11: Like printed materials, you know, whereas now everything's digital and 756 00:40:46,040 --> 00:40:49,640 Speaker 11: everything's you know, much much more diverse. But back then, 757 00:40:49,719 --> 00:40:53,880 Speaker 11: you know, you had to really continue adapting, you know, 758 00:40:54,080 --> 00:40:57,600 Speaker 11: every so couple of years. And then also seeing organizations 759 00:40:57,600 --> 00:40:59,680 Speaker 11: that you're working with also have to be agile on 760 00:40:59,719 --> 00:41:02,359 Speaker 11: a day app and your strategies and the way that 761 00:41:02,400 --> 00:41:05,920 Speaker 11: you move teams forward is some of it remains the same. 762 00:41:06,040 --> 00:41:08,719 Speaker 11: You know, values and authenticity will always be at the heart. 763 00:41:08,800 --> 00:41:11,160 Speaker 11: I think of every organization. You have to know what 764 00:41:11,200 --> 00:41:14,160 Speaker 11: you stand for and what you don't and and ultimately 765 00:41:14,160 --> 00:41:17,040 Speaker 11: again what is your competitive difference? Is what is your 766 00:41:17,080 --> 00:41:20,120 Speaker 11: point of view? And everything? And so as brands become 767 00:41:20,160 --> 00:41:24,359 Speaker 11: more demanding of not only people, demanding of you know, 768 00:41:24,400 --> 00:41:27,440 Speaker 11: how do they what do they feel about political issues? 769 00:41:27,640 --> 00:41:30,760 Speaker 11: What do they feel about the issues of our time, 770 00:41:31,080 --> 00:41:34,080 Speaker 11: you find organizations having to be and called upon to 771 00:41:34,200 --> 00:41:37,520 Speaker 11: speak about these things, to really sort of plant their flags. 772 00:41:37,600 --> 00:41:40,279 Speaker 11: And so that's why we call the company motto is 773 00:41:40,320 --> 00:41:41,600 Speaker 11: because what is your flag? 774 00:41:41,680 --> 00:41:45,800 Speaker 1: What is what flags are you planting so that people 775 00:41:45,800 --> 00:41:48,600 Speaker 1: can understand who you are? As a rallying call for 776 00:41:48,680 --> 00:41:49,160 Speaker 1: who you are. 777 00:41:49,320 --> 00:41:50,880 Speaker 8: We only have like twenty seconds. But do you think 778 00:41:50,920 --> 00:41:52,719 Speaker 8: if you had started this business today, you would have 779 00:41:52,760 --> 00:41:55,160 Speaker 8: been able to do it? Like has environment has changed 780 00:41:55,160 --> 00:41:55,640 Speaker 8: this much? 781 00:41:58,120 --> 00:42:00,840 Speaker 11: It has changed, but I think that but that would 782 00:42:00,840 --> 00:42:03,839 Speaker 11: not have been I think. I think visionary leaders are 783 00:42:03,880 --> 00:42:05,920 Speaker 11: driven by two things, innovation and progress. 784 00:42:06,320 --> 00:42:08,319 Speaker 1: And I believe that if I had to start this 785 00:42:08,440 --> 00:42:09,560 Speaker 1: business today. 786 00:42:09,280 --> 00:42:11,200 Speaker 11: I would absolutely be able, we would be able to 787 00:42:11,239 --> 00:42:13,520 Speaker 11: do it because I think that if you are a 788 00:42:13,600 --> 00:42:17,759 Speaker 11: visionary leader, you're able to understand and follow kind of 789 00:42:17,800 --> 00:42:19,960 Speaker 11: move towards the trends and move your business towards that 790 00:42:20,000 --> 00:42:20,560 Speaker 11: new future. 791 00:42:20,600 --> 00:42:24,279 Speaker 8: So absolutely, all right, Sonny, I mean really, starting my 792 00:42:24,280 --> 00:42:26,719 Speaker 8: own business seems like the hardest, scariest thing in the world. 793 00:42:26,760 --> 00:42:29,239 Speaker 8: All right, Sonny Banilla co founder and CEO at Mina, 794 00:42:29,320 --> 00:42:32,120 Speaker 8: We super appreciate it. Kudos to you. That is quite 795 00:42:32,120 --> 00:42:34,120 Speaker 8: a journey. Thank you for all of that part. 796 00:42:34,239 --> 00:42:38,719 Speaker 2: This is the Bloomberg Intelligence Podcast, available on Apples, Spotify, 797 00:42:38,960 --> 00:42:41,839 Speaker 2: and anywhere else you will get your podcasts. Listen live 798 00:42:41,960 --> 00:42:45,560 Speaker 2: each weekday ten am to noon Eastern on Bloomberg dot Com, 799 00:42:45,640 --> 00:42:49,080 Speaker 2: Thehart Radio app, tune In, and the Bloomberg Business app. 800 00:42:49,160 --> 00:42:52,279 Speaker 2: You can also watch US live every weekday on YouTube 801 00:42:52,400 --> 00:42:54,160 Speaker 2: and always on the Bloomberg terminal