1 00:00:00,160 --> 00:00:04,160 Speaker 1: This is Bloomberg Business Week with Carol Messer and Bloomberg 2 00:00:04,240 --> 00:00:08,200 Speaker 1: Quick Takes Tim Stinovic on Bloomberg Radio. Tim, how often 3 00:00:08,200 --> 00:00:10,559 Speaker 1: do we talk about companies going all in on digital 4 00:00:10,720 --> 00:00:13,680 Speaker 1: or hear from leaders, CEOs and more saying that's exactly 5 00:00:13,680 --> 00:00:15,640 Speaker 1: what they're doing, especially during the pandemic. I mean, that 6 00:00:15,720 --> 00:00:18,280 Speaker 1: is exactly what we heard over the last sixteen months, right. 7 00:00:18,280 --> 00:00:20,759 Speaker 1: And our next guest says, fun, you can go digital, 8 00:00:20,760 --> 00:00:22,920 Speaker 1: but it really needs to be about blending digital and 9 00:00:22,960 --> 00:00:26,599 Speaker 1: traditional business functions if you want a competitive advantage long term. 10 00:00:26,640 --> 00:00:28,720 Speaker 1: I think it's so timely that we're going to talk 11 00:00:28,760 --> 00:00:31,480 Speaker 1: to this guest, especially on a day when we're all 12 00:00:31,480 --> 00:00:33,320 Speaker 1: in on big tech and we're talking a lot about 13 00:00:33,440 --> 00:00:36,880 Speaker 1: digital strategies. We certainly are. Rob Siegel is a general 14 00:00:36,880 --> 00:00:39,960 Speaker 1: partner at ex C Capital, also a lecturer at Stanford's 15 00:00:39,960 --> 00:00:43,159 Speaker 1: Graduate School of Business, and the author of The Brains 16 00:00:43,240 --> 00:00:46,839 Speaker 1: and Braun Company, How leading organizations blend the best of 17 00:00:47,000 --> 00:00:49,839 Speaker 1: digital and physical. He joins us on the phone from 18 00:00:49,880 --> 00:00:53,000 Speaker 1: Silicon Valley, Rod, How you doing, I'm doing great, Tim, 19 00:00:53,040 --> 00:00:55,040 Speaker 1: Thanks for having me. What do you what do you 20 00:00:55,240 --> 00:00:57,880 Speaker 1: think of when you hear a company say what what? 21 00:00:57,960 --> 00:00:59,960 Speaker 1: Carol just said, because they tell us that all the 22 00:01:00,120 --> 00:01:03,040 Speaker 1: time that the key to growth is making sure that 23 00:01:03,080 --> 00:01:06,640 Speaker 1: you disrupt your existing business model, but do it in 24 00:01:06,680 --> 00:01:10,440 Speaker 1: a way that allows you to not actually cannibalize what 25 00:01:10,520 --> 00:01:15,039 Speaker 1: exists already. But digitization is really really important, but it's 26 00:01:15,080 --> 00:01:18,560 Speaker 1: not a panacea. And increasingly, what I see through the 27 00:01:18,560 --> 00:01:21,280 Speaker 1: companies I invest in as a as a as a 28 00:01:21,360 --> 00:01:23,959 Speaker 1: venture capitalist, but also those that I get to study 29 00:01:24,000 --> 00:01:26,720 Speaker 1: through my work at Stanford, is that the best companies 30 00:01:26,840 --> 00:01:30,000 Speaker 1: right now are blending the best of both digital and physical. 31 00:01:30,319 --> 00:01:32,720 Speaker 1: And we saw this, you know, the pandemic accelerated this, 32 00:01:32,840 --> 00:01:34,920 Speaker 1: that it wasn't just enough that we could shop online 33 00:01:34,920 --> 00:01:37,600 Speaker 1: and communicate online. You're all about case, Yeah, you're all 34 00:01:37,600 --> 00:01:39,240 Speaker 1: about case studies in this book. So give us a 35 00:01:39,240 --> 00:01:42,119 Speaker 1: few examples of some of these best companies. Well, so, 36 00:01:42,280 --> 00:01:46,160 Speaker 1: on the retail side, we saw magnificent performance from home Depot, 37 00:01:46,319 --> 00:01:49,760 Speaker 1: from Best Buy, and from Target, who really invested in 38 00:01:49,760 --> 00:01:53,280 Speaker 1: infrastructure and logistics as well as a great digital capability 39 00:01:53,400 --> 00:01:56,080 Speaker 1: where people could shop that way. And we also saw 40 00:01:56,080 --> 00:01:59,000 Speaker 1: obviously Amazon has done a tremendous job. And so we're 41 00:01:59,040 --> 00:02:04,640 Speaker 1: seeing organization in functions like retail, financial services, even healthcare, 42 00:02:04,680 --> 00:02:07,000 Speaker 1: doing a great job of making sure that there's both 43 00:02:07,000 --> 00:02:10,040 Speaker 1: a digital and physical component to everything that they do. So, 44 00:02:10,320 --> 00:02:12,800 Speaker 1: you know, it's in an interesting time to be talking about, 45 00:02:12,919 --> 00:02:17,399 Speaker 1: especially when we've seen increased Chinese oversight of uh they're 46 00:02:17,440 --> 00:02:21,840 Speaker 1: big tech companies specifically about data collection and China wanting 47 00:02:21,840 --> 00:02:24,520 Speaker 1: more at the government, the Chinese government wanting more control. 48 00:02:25,080 --> 00:02:28,480 Speaker 1: Do you believe that because of this combination of brains 49 00:02:28,480 --> 00:02:31,440 Speaker 1: and braun that some of those big tech companies they 50 00:02:31,560 --> 00:02:34,240 Speaker 1: do have too much focus on kind of the brainy 51 00:02:34,320 --> 00:02:37,480 Speaker 1: element of what they're doing and that they need to 52 00:02:37,560 --> 00:02:42,880 Speaker 1: be either more diverse or more government oversight. Well, you 53 00:02:42,960 --> 00:02:45,120 Speaker 1: raised an interesting point, Carroll, and that what's going to 54 00:02:45,280 --> 00:02:47,760 Speaker 1: end up happening is how supply chains will we configure 55 00:02:48,000 --> 00:02:50,799 Speaker 1: Where manufacturing jobs are going to be placed is a 56 00:02:50,880 --> 00:02:55,239 Speaker 1: function of the global economic competitiveness, largely written by the 57 00:02:55,960 --> 00:02:58,520 Speaker 1: challenges in the United States and China. And so no 58 00:02:58,560 --> 00:03:01,200 Speaker 1: matter what you manufact tour, no matter what you deliver 59 00:03:01,600 --> 00:03:05,040 Speaker 1: to your customers, as every good becomes connected, right because 60 00:03:05,080 --> 00:03:08,080 Speaker 1: there's a software component and the connectivity component to everything 61 00:03:08,720 --> 00:03:11,119 Speaker 1: digital organization, they're going to have to think about where 62 00:03:11,200 --> 00:03:13,679 Speaker 1: they're going to put their factories and factories can be 63 00:03:13,720 --> 00:03:16,600 Speaker 1: you know, traditional you know manufacturing factories. We do also 64 00:03:16,600 --> 00:03:19,000 Speaker 1: have additive manufacturing will which will allow you to put 65 00:03:19,040 --> 00:03:22,680 Speaker 1: basically factories at your customers client sides. And the companies 66 00:03:22,720 --> 00:03:25,840 Speaker 1: are going to think about how they construct all of 67 00:03:25,880 --> 00:03:28,840 Speaker 1: their digital and physical attributes. And historically companies are in 68 00:03:28,880 --> 00:03:31,200 Speaker 1: Silicon Valley haven't had to do that, and that's going 69 00:03:31,280 --> 00:03:34,480 Speaker 1: to have to change. Hey, rob we can learn a 70 00:03:34,520 --> 00:03:37,520 Speaker 1: lot from companies that have been really successful in this transition, 71 00:03:37,560 --> 00:03:39,560 Speaker 1: but we can also learn a lot from companies that 72 00:03:39,760 --> 00:03:42,680 Speaker 1: haven't been. What are some examples of companies that didn't 73 00:03:42,720 --> 00:03:46,560 Speaker 1: successfully make this transition and we can learn from that. Well, 74 00:03:47,040 --> 00:03:49,280 Speaker 1: you can think about that. For example, Borders back in 75 00:03:49,320 --> 00:03:51,520 Speaker 1: the day did not do a good job of figuring 76 00:03:51,560 --> 00:03:53,840 Speaker 1: out what Amazon was going to be doing to their business, 77 00:03:53,840 --> 00:03:56,440 Speaker 1: how they partner, how they you know, made sure they 78 00:03:56,440 --> 00:03:58,400 Speaker 1: talk to their customers. And we're seeing I think a 79 00:03:58,440 --> 00:04:01,280 Speaker 1: lot of the large mobility company really struggle. One of 80 00:04:01,280 --> 00:04:03,200 Speaker 1: the companies we look at in the book is Daimler, 81 00:04:03,440 --> 00:04:07,280 Speaker 1: which is a manufacturing and design engineering powerhouse, but they've 82 00:04:07,360 --> 00:04:11,080 Speaker 1: really done a very poor job on connectivity, on software, 83 00:04:11,400 --> 00:04:14,520 Speaker 1: and so they're really struggling behind companies like Tesla, which 84 00:04:14,560 --> 00:04:16,360 Speaker 1: you're going to do a phenomenal job and are doing 85 00:04:16,360 --> 00:04:20,479 Speaker 1: a phenomenal job of designing cars digitally first, and soon 86 00:04:20,520 --> 00:04:23,279 Speaker 1: that you mentioned China earlier, China will become an export 87 00:04:23,279 --> 00:04:25,640 Speaker 1: player in the automotive market. And so you can see 88 00:04:25,640 --> 00:04:28,320 Speaker 1: a lot of the incumbent carmakers really trying to fight 89 00:04:28,400 --> 00:04:31,120 Speaker 1: what they were doing before, which was basically bending metal 90 00:04:31,120 --> 00:04:34,360 Speaker 1: and designing great machines instead of thinking these devices as 91 00:04:34,360 --> 00:04:37,440 Speaker 1: if you will moving sensors on wheels, Well, what's interesting, 92 00:04:37,440 --> 00:04:42,240 Speaker 1: and I think about, in particular our audience, how do 93 00:04:42,400 --> 00:04:45,080 Speaker 1: they need to think about what you're saying in terms 94 00:04:45,200 --> 00:04:50,599 Speaker 1: of long term investment plays well, if you are thinking 95 00:04:50,600 --> 00:04:53,680 Speaker 1: about a physical company or something was with a physical DNA, 96 00:04:54,080 --> 00:04:55,880 Speaker 1: one of the questions you want to be asking is 97 00:04:56,120 --> 00:04:59,160 Speaker 1: are they investing in things like analytics and digital infrastructure? 98 00:04:59,160 --> 00:05:01,640 Speaker 1: Are they hiring the right type of people. Are they 99 00:05:02,320 --> 00:05:05,560 Speaker 1: developing competencies in ways that they can communicate with their customers. 100 00:05:05,839 --> 00:05:08,960 Speaker 1: We also need to think about are they changing, you know, creatively, 101 00:05:08,960 --> 00:05:11,840 Speaker 1: their business models as well as the technologies that they developed. 102 00:05:12,120 --> 00:05:14,320 Speaker 1: Are they really reaching out to their customers. One of 103 00:05:14,320 --> 00:05:17,239 Speaker 1: the companies we studied was Kaiser Permanente to the large 104 00:05:17,240 --> 00:05:19,920 Speaker 1: healthcare provider. And you know Bernard Thompson used to when 105 00:05:19,960 --> 00:05:21,880 Speaker 1: he would come to Stanford and talk to the students, 106 00:05:22,160 --> 00:05:25,000 Speaker 1: really kind of showed empathy, empathy for all the players 107 00:05:25,000 --> 00:05:28,479 Speaker 1: in the ecosystem, his doctors, his nurses, the communities, he 108 00:05:28,560 --> 00:05:31,960 Speaker 1: was in, the patients, and he really understood where everybody 109 00:05:32,040 --> 00:05:34,400 Speaker 1: was shaping their business. And so the question we have 110 00:05:34,400 --> 00:05:37,240 Speaker 1: to asked about the large incumbent organizations are they doing 111 00:05:37,279 --> 00:05:40,240 Speaker 1: those things? Are they really taking risks and running towards 112 00:05:40,240 --> 00:05:42,280 Speaker 1: the disruption or they just trying to hold on to 113 00:05:42,400 --> 00:05:47,680 Speaker 1: what they have before. All right, So it's interesting, Um, 114 00:05:47,720 --> 00:05:50,320 Speaker 1: if the companies don't get it right and do that 115 00:05:50,400 --> 00:05:55,480 Speaker 1: combination rob of brains and braun, then what well, then 116 00:05:55,520 --> 00:05:58,320 Speaker 1: everybody who works there should probably update their LinkedIn profiles 117 00:05:58,760 --> 00:06:01,000 Speaker 1: because you know what is going to happen, and what 118 00:06:01,000 --> 00:06:04,560 Speaker 1: what digital enables is you have companies that can come 119 00:06:04,600 --> 00:06:07,119 Speaker 1: into new market segments and maybe you didn't see them coming. 120 00:06:07,279 --> 00:06:09,120 Speaker 1: I mean a great example is that as Stripe and 121 00:06:09,160 --> 00:06:12,520 Speaker 1: what Stripe has done in payments and transactions in ways 122 00:06:12,520 --> 00:06:15,400 Speaker 1: that a lot of the large existing players didn't see 123 00:06:15,480 --> 00:06:17,280 Speaker 1: who were in kind of bee the whole transaction and 124 00:06:17,400 --> 00:06:19,839 Speaker 1: merchant process and account and so you've got to really 125 00:06:19,920 --> 00:06:22,440 Speaker 1: kind of be playing offense on this because you don't 126 00:06:22,480 --> 00:06:24,839 Speaker 1: always know where the attack is coming from. You know, 127 00:06:24,880 --> 00:06:27,919 Speaker 1: what happens when Uber and DD going to logistics and 128 00:06:27,960 --> 00:06:30,719 Speaker 1: what impact is that going to have on Federal Express 129 00:06:30,760 --> 00:06:34,320 Speaker 1: and ups and DHL. So people are gonna be completely 130 00:06:34,360 --> 00:06:37,839 Speaker 1: rethinking their business models and the technologies and the market 131 00:06:37,920 --> 00:06:39,920 Speaker 1: that they can go after. Hey, Rob always like to ask, 132 00:06:39,920 --> 00:06:42,200 Speaker 1: and we only have about twenty seconds left. Um. People 133 00:06:42,240 --> 00:06:44,880 Speaker 1: who teach a business schools lecture, a business schools lecture 134 00:06:44,880 --> 00:06:46,960 Speaker 1: at Stanford, where do your students want to go work 135 00:06:47,040 --> 00:06:50,119 Speaker 1: right now? So it's funny they a lot of times 136 00:06:50,120 --> 00:06:51,880 Speaker 1: they want to actually go to what I'll call the 137 00:06:52,000 --> 00:06:54,960 Speaker 1: sexy tech companies or they want to start their own companies. 138 00:06:55,160 --> 00:06:57,080 Speaker 1: We are starting to steal a lot of you know, 139 00:06:57,240 --> 00:06:59,280 Speaker 1: of the students, and we teach students from all over 140 00:06:59,320 --> 00:07:01,520 Speaker 1: the world. We're actually looking at a lot of the 141 00:07:01,640 --> 00:07:05,200 Speaker 1: larger established organizations who are doing some really interesting things. 142 00:07:05,360 --> 00:07:07,039 Speaker 1: So it's not just that everybody wants to do their 143 00:07:07,080 --> 00:07:09,840 Speaker 1: own startup anymore. We're starting to see people who actually 144 00:07:09,880 --> 00:07:12,160 Speaker 1: want to go in and actually have some big impacts 145 00:07:12,160 --> 00:07:15,040 Speaker 1: in some of the larger organizations because they really exciting 146 00:07:15,080 --> 00:07:17,560 Speaker 1: things going on there. That is an interesting trend um. 147 00:07:17,640 --> 00:07:20,040 Speaker 1: Rob Segel, thank you so much. Really enjoyed this general 148 00:07:20,040 --> 00:07:23,239 Speaker 1: partner Next Capital, author of the Brains and Braun Company,