1 00:00:03,720 --> 00:00:07,119 Speaker 1: Global business news twenty four hours a day at Bloomberg 2 00:00:07,160 --> 00:00:10,240 Speaker 1: dot Com, the Radio plus Mobile Act and on your radio. 3 00:00:10,520 --> 00:00:14,680 Speaker 1: This is a Bloomberg Business Flash from Bloomberg World Headquarters. 4 00:00:14,720 --> 00:00:18,040 Speaker 1: I'm Charlie Pelota. The down Jones industrial averages trading lower, 5 00:00:18,079 --> 00:00:21,160 Speaker 1: the SMP and nez DAC both higher, and this update 6 00:00:21,280 --> 00:00:24,720 Speaker 1: is brought to you by Bentley University. What to tying 7 00:00:24,800 --> 00:00:28,520 Speaker 1: up the finances at Converse and managing asset allocations at 8 00:00:28,600 --> 00:00:32,720 Speaker 1: JP Morgan have in common a business degree from Bentley University. 9 00:00:32,760 --> 00:00:38,120 Speaker 1: Because business is everywhere, prepare here. Stocks are fluctuating. We've 10 00:00:38,159 --> 00:00:41,159 Speaker 1: got the SMP up two points to four. That is 11 00:00:41,200 --> 00:00:43,960 Speaker 1: a gain of one tenth of one percent, as stack 12 00:00:44,080 --> 00:00:46,240 Speaker 1: up nine a gain of two tenths of one percent. 13 00:00:46,560 --> 00:00:49,880 Speaker 1: Down Industrials lower by a point now to eighteen thousand, 14 00:00:49,960 --> 00:00:53,240 Speaker 1: five hundred seventy three. The ten year of five thirty 15 00:00:53,280 --> 00:00:56,480 Speaker 1: seconds yield one point five three percent. Gold up eight 16 00:00:56,520 --> 00:00:59,520 Speaker 1: thirty ounce the thirteen fifty three in advance of six 17 00:00:59,560 --> 00:01:03,319 Speaker 1: tenths of crude oil West Texas Intermediate traded in New 18 00:01:03,400 --> 00:01:07,440 Speaker 1: York up three point three four. Brent is above fifty 19 00:01:07,480 --> 00:01:09,920 Speaker 1: dollars a barrel, first time since July of two percent 20 00:01:10,040 --> 00:01:15,240 Speaker 1: now fifty nine. I'm Charlie Pallotte. That's a Bloomberg Business flash. 21 00:01:16,160 --> 00:01:19,680 Speaker 1: You're listening to taking Stock with pim Box and Kathleen 22 00:01:19,720 --> 00:01:24,880 Speaker 1: Hayes on Bloomberg Radio. Eat or Be Eaten, Acquire or 23 00:01:25,160 --> 00:01:28,520 Speaker 1: Be Acquired? M and A madness in the startup universe, 24 00:01:28,560 --> 00:01:31,120 Speaker 1: and our next guest says, if you want to survive 25 00:01:31,160 --> 00:01:34,520 Speaker 1: and thrive, you better pay attention to a very major trend, 26 00:01:34,800 --> 00:01:38,360 Speaker 1: the move from the information age into the intelligence age. 27 00:01:38,560 --> 00:01:41,120 Speaker 1: Joining us the studio day is gust Tie. He's general 28 00:01:41,160 --> 00:01:45,160 Speaker 1: partner at Trinity Ventures in Menlo Park, California, the heart 29 00:01:45,560 --> 00:01:48,160 Speaker 1: of the valley, and he's here today to join us 30 00:01:48,160 --> 00:01:51,240 Speaker 1: to talk about this. Gus, welcome, Thank you. So, uh, 31 00:01:51,840 --> 00:01:54,600 Speaker 1: there is certainly a lot of M and A activity 32 00:01:54,640 --> 00:01:57,120 Speaker 1: what is driving in and we're talking about trends, but 33 00:01:57,200 --> 00:02:02,640 Speaker 1: is there anything about people uh getting more confident, financing 34 00:02:02,680 --> 00:02:05,640 Speaker 1: being cheap? What's behind it? Yes, Kathleen, I think we're 35 00:02:05,640 --> 00:02:09,360 Speaker 1: in a super fascinating time right now where you have 36 00:02:09,480 --> 00:02:12,959 Speaker 1: Microsoft buying LinkedIn for six billion, you have Walmart buying 37 00:02:13,040 --> 00:02:16,240 Speaker 1: Jet for three point three billion, and even GM bought 38 00:02:16,320 --> 00:02:19,440 Speaker 1: Crews for billion dollars. I think that the trend is driving. 39 00:02:19,480 --> 00:02:22,640 Speaker 1: All of these are large corporations seeking to bring in 40 00:02:22,720 --> 00:02:26,120 Speaker 1: DNA and capability to move from the information age to 41 00:02:26,120 --> 00:02:29,480 Speaker 1: the intelligence age. Hey, Gus, you know, just to give 42 00:02:29,520 --> 00:02:35,000 Speaker 1: some context here, at Trinity Ventures, Zu Lily initial public offering, 43 00:02:35,160 --> 00:02:39,280 Speaker 1: that would be you, Blue Nile initial public offering, that 44 00:02:39,360 --> 00:02:42,720 Speaker 1: would be you. If I always keep asking myself, if 45 00:02:42,720 --> 00:02:46,720 Speaker 1: these are all such great companies, whether it's publical private, 46 00:02:47,280 --> 00:02:52,160 Speaker 1: why sell them? Sure? Well, from a venture capital standpoint, 47 00:02:52,160 --> 00:02:55,240 Speaker 1: when we make investments in companies, we do make agreement 48 00:02:55,280 --> 00:02:57,320 Speaker 1: with the management team and the other shareholders to have 49 00:02:57,400 --> 00:03:00,240 Speaker 1: some form of liquidity. And so if the liquidity comes 50 00:03:00,240 --> 00:03:03,079 Speaker 1: in other forms such as dividends, that would be possible. 51 00:03:03,120 --> 00:03:06,360 Speaker 1: But in general, when a company is acquired or goes public, 52 00:03:06,440 --> 00:03:10,200 Speaker 1: it makes their capital liquid and then we could we 53 00:03:10,320 --> 00:03:12,760 Speaker 1: buy in and we liquid eight and we distribute those 54 00:03:12,760 --> 00:03:15,080 Speaker 1: profits back to our LPs. That makes sense to me. 55 00:03:15,200 --> 00:03:16,440 Speaker 1: You want to put some money in your pocket when 56 00:03:16,440 --> 00:03:18,160 Speaker 1: you put all that work into starting up a company. 57 00:03:19,160 --> 00:03:21,919 Speaker 1: What about this? What are you talking about? Information age 58 00:03:21,919 --> 00:03:25,280 Speaker 1: to intelligence age? What does that mean? It's it's very 59 00:03:25,320 --> 00:03:28,600 Speaker 1: it's very compelling. What does it mean? Yeah, we view 60 00:03:28,720 --> 00:03:32,720 Speaker 1: this as as transformative from moving from the industrial revolution 61 00:03:32,760 --> 00:03:35,840 Speaker 1: to the information revolution. And so now over the last 62 00:03:35,880 --> 00:03:39,480 Speaker 1: twenty years, we've been aggregating all of this information about things. 63 00:03:39,480 --> 00:03:42,120 Speaker 1: So if you look at Amazon when they pulled together 64 00:03:42,200 --> 00:03:45,200 Speaker 1: all the things you could buy, that's pulling together information 65 00:03:45,280 --> 00:03:49,840 Speaker 1: on one particular place. However, the information overwhelms all of us, 66 00:03:49,880 --> 00:03:52,840 Speaker 1: whether we're individuals or businesses, and so you need to 67 00:03:52,880 --> 00:03:55,720 Speaker 1: add intelligence to be able to sort through that information. 68 00:03:56,160 --> 00:04:00,680 Speaker 1: So you've seen this intelligence revolution where you makes sense 69 00:04:00,760 --> 00:04:04,120 Speaker 1: of the data in in information technology companies, but you 70 00:04:04,200 --> 00:04:07,000 Speaker 1: haven't seen that shift yet in all the other industries. 71 00:04:07,280 --> 00:04:10,160 Speaker 1: And that's what we're arguing is taking place right now 72 00:04:10,280 --> 00:04:13,480 Speaker 1: that if these large companies don't add intelligence to all 73 00:04:13,480 --> 00:04:17,000 Speaker 1: the information they have already, they may become dinosaurs. Does 74 00:04:17,080 --> 00:04:21,320 Speaker 1: that same strategy apply to the venture capital world? Well, 75 00:04:21,400 --> 00:04:23,159 Speaker 1: because I understand that what is it you know? You 76 00:04:23,200 --> 00:04:27,080 Speaker 1: do ten investments, seven dive, three maybe live on, and 77 00:04:27,200 --> 00:04:30,400 Speaker 1: one is the thing that you know puts the roof 78 00:04:30,440 --> 00:04:34,440 Speaker 1: over everybody's head, it sure does apply to venture capital 79 00:04:34,480 --> 00:04:37,960 Speaker 1: in all other industries. And you are seeing innovation at 80 00:04:38,360 --> 00:04:41,240 Speaker 1: various different types of venture firms, particularly the newer ones 81 00:04:41,560 --> 00:04:44,039 Speaker 1: that have this fresh look A dear friend of mine 82 00:04:44,040 --> 00:04:46,960 Speaker 1: who who inspires me in the valley is Dave McClure. 83 00:04:47,360 --> 00:04:51,000 Speaker 1: He has five startups, and he would argue that firms 84 00:04:51,040 --> 00:04:53,479 Speaker 1: that are traditional, perhaps even a firm like ours, as 85 00:04:53,520 --> 00:04:56,080 Speaker 1: a dinosaur, and and we have to pay attention to 86 00:04:56,120 --> 00:04:58,680 Speaker 1: that because you need to sort data better. I mean, seriously, 87 00:04:58,720 --> 00:05:00,640 Speaker 1: what does that mean for you? If you're a dinosaur? 88 00:05:00,680 --> 00:05:02,880 Speaker 1: How could you be a dinosaur? Well? You know, I 89 00:05:02,880 --> 00:05:06,000 Speaker 1: would argue that venture firms are more resilient to this 90 00:05:06,080 --> 00:05:10,039 Speaker 1: trend because we actually are competing to understand and makes 91 00:05:10,040 --> 00:05:12,480 Speaker 1: sense of data we already have and put it in 92 00:05:12,520 --> 00:05:17,520 Speaker 1: the forms of or what it's it's the model of 93 00:05:17,920 --> 00:05:21,880 Speaker 1: so so a thesis for a disruption for venture capital 94 00:05:21,920 --> 00:05:23,880 Speaker 1: what pim the way, what I inferred from what Pim 95 00:05:23,920 --> 00:05:27,200 Speaker 1: was saying is that the traditional model is you make 96 00:05:27,680 --> 00:05:29,960 Speaker 1: two investments per partner per year. And if you have 97 00:05:29,960 --> 00:05:32,680 Speaker 1: a firm of ten ten partners at investments per year, 98 00:05:32,920 --> 00:05:35,800 Speaker 1: from a portfolio theory basis, it may make sense to 99 00:05:35,839 --> 00:05:38,440 Speaker 1: make a hundred investments per year. If you have a 100 00:05:38,440 --> 00:05:41,880 Speaker 1: strategy for feeding the winners and calling the losers, that's 101 00:05:41,920 --> 00:05:45,200 Speaker 1: a legitimate strategy. And if you have information that that 102 00:05:45,440 --> 00:05:47,960 Speaker 1: you can transform it intelligence to understand that trend better. 103 00:05:48,120 --> 00:05:49,960 Speaker 1: You could have a leg up. I just want to 104 00:05:50,000 --> 00:05:53,359 Speaker 1: go through some recent deals to get your thoughts on this. Gillette, 105 00:05:53,520 --> 00:05:57,000 Speaker 1: Dollar Shave Club. Yeah, I mean Dollar Shave Club, as 106 00:05:57,000 --> 00:06:00,240 Speaker 1: I understand, doesn't make money necessarily, at least not yet. 107 00:06:01,080 --> 00:06:02,960 Speaker 1: Is there a strategy or a theme that we need 108 00:06:03,000 --> 00:06:06,839 Speaker 1: to understand here? Yes? And and so? Uh the theme 109 00:06:07,000 --> 00:06:09,680 Speaker 1: and Uni Leaver purchased Dollar Shave Club for a billion 110 00:06:09,720 --> 00:06:12,440 Speaker 1: in Gillette, which is owned by PNG, had a lawsuit 111 00:06:12,440 --> 00:06:16,000 Speaker 1: against Dollar Shave Club. If I understand the public information properly, 112 00:06:16,720 --> 00:06:20,200 Speaker 1: the theme would be that Uni Lever, being a hundred 113 00:06:20,200 --> 00:06:23,400 Speaker 1: and thirty billion dollar, hundred forty billion dollar company, would 114 00:06:23,440 --> 00:06:26,640 Speaker 1: be interested in developing a deeper relationship with end consumers 115 00:06:26,720 --> 00:06:30,000 Speaker 1: and collecting information from them and serving them. Dollar Shave 116 00:06:30,080 --> 00:06:33,960 Speaker 1: Club innovated in moving from a product to a service 117 00:06:34,440 --> 00:06:37,440 Speaker 1: and using analytics of understanding the customers and how to 118 00:06:37,520 --> 00:06:42,080 Speaker 1: tune products for those customers. So it's very savvy. So 119 00:06:42,760 --> 00:06:44,479 Speaker 1: what what do you make of I just have to 120 00:06:44,480 --> 00:06:46,760 Speaker 1: ask you. Just Walmart just seems like a match made 121 00:06:46,800 --> 00:06:50,640 Speaker 1: in heaven potentially, sure, yes, Uh, it's I think it's 122 00:06:50,680 --> 00:06:54,360 Speaker 1: a very savvy strategic move and strategic moves have to 123 00:06:54,360 --> 00:06:56,840 Speaker 1: play out operationally. You have to execute. But why so 124 00:06:57,080 --> 00:07:01,760 Speaker 1: savvy strategically is that Walmart is a four billion is 125 00:07:01,960 --> 00:07:04,640 Speaker 1: revenue company. Last year it actually shrank from the previous year. 126 00:07:05,080 --> 00:07:10,320 Speaker 1: It's online business last year was fourteen billion dollars. And 127 00:07:10,360 --> 00:07:14,280 Speaker 1: if you think online revenue retail is important, that fourteen 128 00:07:14,280 --> 00:07:18,640 Speaker 1: billion dollars barely matched the growth of of Amazon, so 129 00:07:18,640 --> 00:07:21,320 Speaker 1: they have to do something to catch up. You remember 130 00:07:21,320 --> 00:07:24,080 Speaker 1: a dollar Shape Club? I am not no would you 131 00:07:24,160 --> 00:07:26,440 Speaker 1: invest in that? Would you have invested in Dollar Shape Club? 132 00:07:26,520 --> 00:07:29,480 Speaker 1: I made the mistake in passing, and I regretted, but 133 00:07:29,560 --> 00:07:34,480 Speaker 1: you were offered Yes both, Thanks very much, Gus, general 134 00:07:34,520 --> 00:07:38,080 Speaker 1: partner at Trinity Ventures. They're based in Menlo Park, California. 135 00:07:38,560 --> 00:07:46,400 Speaker 1: You're listening to taking Stock. This is Bloomberg coming up. 136 00:07:46,880 --> 00:07:52,120 Speaker 1: Designers on a dime, a global consignment business selling merchandise 137 00:07:52,200 --> 00:07:55,720 Speaker 1: via e commerce platform. I'm gonna take a look at 138 00:07:55,760 --> 00:07:58,040 Speaker 1: how it works and why small business and focus something 139 00:07:58,040 --> 00:07:58,600 Speaker 1: of the radio