1 00:00:02,720 --> 00:00:10,559 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,600 --> 00:00:14,560 Speaker 1: Bloomberg Intelligence podcast. Catch us live weekdays at ten am. 3 00:00:14,600 --> 00:00:17,239 Speaker 1: He's done on Apple, Cocklay and Android Auto with the 4 00:00:17,280 --> 00:00:21,040 Speaker 1: Bloomberg Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,360 --> 00:00:23,520 Speaker 1: or watch us live on YouTube. 6 00:00:24,320 --> 00:00:26,600 Speaker 2: Just down the street from us in our San Francisco 7 00:00:26,640 --> 00:00:27,880 Speaker 2: bureau is Ed Lovelow. 8 00:00:27,920 --> 00:00:29,120 Speaker 3: He's our b Tech anchor. 9 00:00:29,200 --> 00:00:31,120 Speaker 2: We tried to convince them to couldn't work over it, 10 00:00:31,200 --> 00:00:33,440 Speaker 2: I know, but I think he has to get ready 11 00:00:33,479 --> 00:00:36,000 Speaker 2: for his own show coming up. So Ed is joining 12 00:00:36,080 --> 00:00:38,680 Speaker 2: us right now from our San Francisco bureau and Ed 13 00:00:39,000 --> 00:00:43,280 Speaker 2: the big story here in the Bay Area in Silicon Valleys, Anthropic, 14 00:00:43,440 --> 00:00:46,840 Speaker 2: the AI startup in talks to raise thirty billion dollars 15 00:00:47,080 --> 00:00:49,919 Speaker 2: that would give it a nine hundred billion dollar valuation. 16 00:00:50,360 --> 00:00:52,640 Speaker 2: I mean, this company just gets bigger and bigger, more 17 00:00:52,680 --> 00:00:55,640 Speaker 2: and more valuable every time we talk about it. 18 00:00:55,400 --> 00:00:57,920 Speaker 4: It's it's been a bit of a rollercoaster in the 19 00:00:58,000 --> 00:01:01,840 Speaker 4: sense that the story started with basically rebuffing its investors. 20 00:01:01,920 --> 00:01:04,520 Speaker 4: It's investors were like kicking down the door saying, let 21 00:01:04,600 --> 00:01:07,080 Speaker 4: us give you some money, and here's how we think 22 00:01:07,080 --> 00:01:09,720 Speaker 4: you should be valued, and they just weren't interested for 23 00:01:10,080 --> 00:01:12,880 Speaker 4: quite a number of weeks until this week, where this 24 00:01:13,040 --> 00:01:17,080 Speaker 4: is like a real live situation. They kind of accept 25 00:01:17,120 --> 00:01:19,959 Speaker 4: that the idea of raising thirty to thirty five billion 26 00:01:20,000 --> 00:01:23,480 Speaker 4: dollars makes sense right now through the private markets. And 27 00:01:23,880 --> 00:01:26,680 Speaker 4: you know, the discussions are around a nine hundred billion 28 00:01:26,680 --> 00:01:29,160 Speaker 4: dollar valuation, but probably if they're a bit higher than that, 29 00:01:29,280 --> 00:01:31,960 Speaker 4: which if it happens, you know, we're reporting it could 30 00:01:31,959 --> 00:01:34,160 Speaker 4: close even by the end of May. It would be 31 00:01:34,160 --> 00:01:37,280 Speaker 4: the world's most valuable AI startup. But if you're keeping track, 32 00:01:37,720 --> 00:01:39,720 Speaker 4: it would mean it would be more valuable than Open AI, 33 00:01:39,800 --> 00:01:42,959 Speaker 4: which is a good bit of rivalry to be covering. 34 00:01:45,800 --> 00:01:47,600 Speaker 3: And after the shows are w I'm going to cruise 35 00:01:47,600 --> 00:01:50,279 Speaker 3: on over to Sandhill Road see some of my buddies there. 36 00:01:50,360 --> 00:01:53,880 Speaker 3: Nice I want to talk to them about IPOs, I mean, 37 00:01:53,920 --> 00:01:56,000 Speaker 3: talk to us about the Anfield pipeline. For all you 38 00:01:56,000 --> 00:01:57,800 Speaker 3: guys out here, this is going to be a big, 39 00:01:57,840 --> 00:01:59,960 Speaker 3: big year potentially. Yeah. 40 00:02:00,040 --> 00:02:03,560 Speaker 4: Yeah, so much time spent down Sandhill Roads. Not just 41 00:02:03,600 --> 00:02:07,400 Speaker 4: like the vcs and the like mutual funds, late stage 42 00:02:07,440 --> 00:02:10,600 Speaker 4: private growth equity, but like if you are a cruising 43 00:02:10,639 --> 00:02:12,679 Speaker 4: and you're using a Tesla for self driving or you 44 00:02:13,200 --> 00:02:15,560 Speaker 4: can almost go that far in a way mo. Actually, 45 00:02:15,960 --> 00:02:17,880 Speaker 4: then the people you meet, they're really interesting and they 46 00:02:17,880 --> 00:02:20,480 Speaker 4: all have skin in the game. Around the IPO this week, 47 00:02:20,520 --> 00:02:24,560 Speaker 4: which is Cerebras, right, and you know, evaluation around thirty 48 00:02:24,600 --> 00:02:27,280 Speaker 4: five billion dollars. It's been a real hot ticket. It 49 00:02:27,320 --> 00:02:29,359 Speaker 4: will be the biggest IPO of the year so far 50 00:02:29,720 --> 00:02:33,680 Speaker 4: in terms of dollars raised. But you know the problem 51 00:02:33,720 --> 00:02:35,400 Speaker 4: that Cerebris will have is that we're all waiting on 52 00:02:35,400 --> 00:02:38,239 Speaker 4: SpaceX and it's very difficult for the market to look 53 00:02:38,280 --> 00:02:41,080 Speaker 4: past that one that's likely to be late June or July. 54 00:02:44,080 --> 00:02:47,200 Speaker 2: To what extent are these AI companies looking at market 55 00:02:47,200 --> 00:02:50,720 Speaker 2: conditions when they consider listing, Because for every other company 56 00:02:50,760 --> 00:02:53,040 Speaker 2: that's would be paramount, But I mean it feels like 57 00:02:53,040 --> 00:02:56,160 Speaker 2: we're talking about a different economy entirely for these AI companies. 58 00:02:56,760 --> 00:02:59,280 Speaker 4: Yeah, sometimes it's really important to say like we just 59 00:02:59,360 --> 00:03:01,560 Speaker 4: don't know, it's not in the reporting. But if you 60 00:03:01,600 --> 00:03:04,800 Speaker 4: take Anthropic as an example, we had reported that they 61 00:03:04,800 --> 00:03:07,919 Speaker 4: would go public in October of this year. Now they're 62 00:03:08,000 --> 00:03:10,800 Speaker 4: raising a big chunk of change in the private markets. 63 00:03:10,840 --> 00:03:12,240 Speaker 3: And the sort of broader story was. 64 00:03:12,240 --> 00:03:15,400 Speaker 4: Like why bother going public, right, if the private markets 65 00:03:15,480 --> 00:03:18,639 Speaker 4: can supply you the liquidity that you need to fund 66 00:03:18,639 --> 00:03:21,200 Speaker 4: your operations and invest in the compute that you need. 67 00:03:21,680 --> 00:03:24,639 Speaker 4: No point. There's also the kind of idea that we're 68 00:03:24,680 --> 00:03:27,680 Speaker 4: in a three line race between SpaceX, Open AI and 69 00:03:27,720 --> 00:03:31,160 Speaker 4: Anthropics all go public in a single calendar year. And 70 00:03:31,200 --> 00:03:34,680 Speaker 4: like Paul, you'll know, it is not infinite liquidity for 71 00:03:35,440 --> 00:03:38,440 Speaker 4: people that matter to participate in three IPOs at that scale. 72 00:03:38,480 --> 00:03:40,480 Speaker 3: Probably, So the reason I. 73 00:03:40,400 --> 00:03:42,480 Speaker 4: Say we don't know is, you know, maybe Anthropic is 74 00:03:42,520 --> 00:03:44,920 Speaker 4: not going to go in October now, maybe it's next year. 75 00:03:45,240 --> 00:03:48,240 Speaker 4: Maybe everyone's waiting on SpaceX to see if at that 76 00:03:48,400 --> 00:03:51,560 Speaker 4: scale Andthropic or open AI could pull off an IPO 77 00:03:52,440 --> 00:03:55,960 Speaker 4: at evaluation that's north of a trillion dollars or whatever 78 00:03:55,960 --> 00:03:58,400 Speaker 4: it ends up being. And with those two in particular, 79 00:03:58,440 --> 00:04:02,680 Speaker 4: scarlet like really interesting point. There's the public benefit corporation 80 00:04:02,800 --> 00:04:06,640 Speaker 4: or the charitable arm of each, which complicates the structure 81 00:04:06,640 --> 00:04:09,880 Speaker 4: of an IPO, which hasn't really been worked out yet 82 00:04:09,920 --> 00:04:10,680 Speaker 4: as far as I know. 83 00:04:13,520 --> 00:04:15,680 Speaker 3: And for better or worse, you are the Elon Musk 84 00:04:15,720 --> 00:04:19,080 Speaker 3: whisperer SpaceX God talk to us about the time and 85 00:04:19,080 --> 00:04:20,040 Speaker 3: of that potential IPO. 86 00:04:20,920 --> 00:04:25,400 Speaker 4: Yeah, I mean, you know, we broke the story first 87 00:04:25,400 --> 00:04:29,600 Speaker 4: week in May. I believe that that they had filed confidentially, 88 00:04:29,640 --> 00:04:32,360 Speaker 4: and you know, if we were right about that, which 89 00:04:32,400 --> 00:04:35,360 Speaker 4: I'm sure we were, then that s one or that 90 00:04:35,360 --> 00:04:38,240 Speaker 4: that filing will be made public by the SEC very 91 00:04:38,360 --> 00:04:41,000 Speaker 4: very soon, very soon, like in a matter of days, 92 00:04:41,400 --> 00:04:43,960 Speaker 4: so they could do it in late mid to late June. 93 00:04:44,040 --> 00:04:47,160 Speaker 4: But you know, again, timing is everything, and you know, 94 00:04:47,600 --> 00:04:51,200 Speaker 4: as we speak, you know there will be ongoing conversations 95 00:04:51,279 --> 00:04:54,120 Speaker 4: with investors. But remember, like look past Elon Musk a 96 00:04:54,120 --> 00:04:56,800 Speaker 4: little bit, SpaceX has got talent beyond him, and you 97 00:04:56,800 --> 00:04:59,040 Speaker 4: know the CFO Brent Johnson handles a lot of that 98 00:04:59,520 --> 00:05:02,240 Speaker 4: when shot, while the President handles a lot of that, 99 00:05:02,960 --> 00:05:05,839 Speaker 4: as does Jared Virtual, who's like Elon's sort of private 100 00:05:05,880 --> 00:05:08,839 Speaker 4: finance guy and straddles all his companies. So you know, 101 00:05:08,880 --> 00:05:09,719 Speaker 4: it's all in the works. 102 00:05:10,960 --> 00:05:11,600 Speaker 3: Stay with us. 103 00:05:11,640 --> 00:05:13,880 Speaker 2: More from Bloomberg Intelligence coming up after this. 104 00:05:17,480 --> 00:05:21,200 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 105 00:05:21,279 --> 00:05:24,359 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 106 00:05:24,400 --> 00:05:27,680 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 107 00:05:27,760 --> 00:05:30,880 Speaker 1: you get your podcasts, or watch us live on YouTube. 108 00:05:31,680 --> 00:05:34,520 Speaker 3: We're broadcasting live from the Eisner Emperor West Coast Real 109 00:05:34,640 --> 00:05:37,520 Speaker 3: Estate Summit in San Francisco, and out here at SF 110 00:05:37,560 --> 00:05:40,920 Speaker 3: it is all about AI. Everybody is into it. It 111 00:05:40,960 --> 00:05:45,279 Speaker 3: has revitalized this city post pandemic, which is a beautiful 112 00:05:45,279 --> 00:05:49,359 Speaker 3: thing because I'm a huge fan of San Francisco. Right now, 113 00:05:49,400 --> 00:05:52,080 Speaker 3: we're going to check in with Turun Russoni, CEO at 114 00:05:52,120 --> 00:05:54,240 Speaker 3: Groove AI. My notes tell me that Groove is an 115 00:05:54,360 --> 00:05:58,920 Speaker 3: enterprise AI services platform that helps businesses move from AI experimentation, 116 00:05:59,360 --> 00:06:02,800 Speaker 3: which is where I, to full scale deployment. Taran, thanks 117 00:06:02,839 --> 00:06:05,159 Speaker 3: so much for joining us here. How do you get 118 00:06:05,279 --> 00:06:08,440 Speaker 3: your clients, the companies you deal with, from experimenting with 119 00:06:08,600 --> 00:06:12,120 Speaker 3: AI to really deploying it fully in their business? What 120 00:06:12,160 --> 00:06:12,720 Speaker 3: do you do there? 121 00:06:13,160 --> 00:06:14,600 Speaker 5: Thank you so much for having me here. 122 00:06:15,800 --> 00:06:20,840 Speaker 6: So we help companies understand how AI adoption can be 123 00:06:21,160 --> 00:06:25,800 Speaker 6: improved in their environment, thinking about security, data and the 124 00:06:25,960 --> 00:06:30,440 Speaker 6: underlying governance and infrastructure that they need to securely adopt 125 00:06:30,520 --> 00:06:35,479 Speaker 6: AI in their environment and to adopt EI within the enterprise. 126 00:06:35,560 --> 00:06:38,000 Speaker 5: Security, privacy, trust. 127 00:06:37,720 --> 00:06:41,039 Speaker 6: And governments are very important parameters before you get into 128 00:06:41,400 --> 00:06:42,120 Speaker 6: AI adoption. 129 00:06:42,800 --> 00:06:46,280 Speaker 2: So at this conference, the iSER Amper's West Coast real 130 00:06:46,400 --> 00:06:49,400 Speaker 2: Estate Summit where there's a lot of folks in commercial 131 00:06:49,440 --> 00:06:51,800 Speaker 2: real estate, their investors or their principles. 132 00:06:52,160 --> 00:06:53,160 Speaker 3: What is your message? 133 00:06:53,200 --> 00:06:56,080 Speaker 2: What is the message of an AI company to these 134 00:06:56,120 --> 00:06:57,560 Speaker 2: folks in the real estate industry. 135 00:06:57,960 --> 00:07:00,800 Speaker 6: Yeah, as you know, AI requires a lot of infrastructure. 136 00:07:00,839 --> 00:07:05,200 Speaker 6: The underlying infrastructure is energy, data centers, a lot of compute, 137 00:07:05,520 --> 00:07:09,120 Speaker 6: and the compute requirements are ten hundred thousand x bigger. 138 00:07:09,840 --> 00:07:14,280 Speaker 6: So real estate group is a very important part of 139 00:07:14,320 --> 00:07:15,040 Speaker 6: this buildout. 140 00:07:15,360 --> 00:07:16,960 Speaker 5: And the message here is very simple. 141 00:07:17,760 --> 00:07:19,800 Speaker 6: There's going to be a lot of demand and needs 142 00:07:19,800 --> 00:07:24,040 Speaker 6: for these AI inference data centers that are going to 143 00:07:24,080 --> 00:07:26,520 Speaker 6: grow in the next three to five years, and it 144 00:07:26,560 --> 00:07:29,400 Speaker 6: is going to require us to build inference clusters at 145 00:07:29,400 --> 00:07:29,840 Speaker 6: the edge. 146 00:07:31,160 --> 00:07:33,720 Speaker 5: The last mile and the edge has always been very important. 147 00:07:33,800 --> 00:07:36,920 Speaker 6: So the real estate group plays a very big role 148 00:07:37,040 --> 00:07:38,440 Speaker 6: in that last mile and edge. 149 00:07:38,520 --> 00:07:40,560 Speaker 3: So when you talk when you work with your clients, 150 00:07:41,040 --> 00:07:44,160 Speaker 3: are you talking to like the chief technical officer, Are 151 00:07:44,200 --> 00:07:47,240 Speaker 3: you talking to the CEO? Are you talking to the board? 152 00:07:47,640 --> 00:07:52,240 Speaker 3: I mean my question is are companies just broadly defined here? 153 00:07:53,000 --> 00:07:55,640 Speaker 3: How much are they really into AI? How much? At 154 00:07:55,640 --> 00:07:58,560 Speaker 3: what level they trying to really grasp it and attack it? 155 00:07:58,840 --> 00:08:01,840 Speaker 5: Yeah? This is a this is a of great questions. 156 00:08:01,840 --> 00:08:08,080 Speaker 6: So at the board level, every board is talking about 157 00:08:08,120 --> 00:08:12,040 Speaker 6: AI right now. That's their biggest focus. And AI is compounding, 158 00:08:12,680 --> 00:08:16,040 Speaker 6: So the sooner you start, the more compounding benefits you 159 00:08:16,120 --> 00:08:20,440 Speaker 6: derive out of AI. At the c level, every CEO's 160 00:08:20,720 --> 00:08:25,000 Speaker 6: first concern is is this something I can trust? Is 161 00:08:25,040 --> 00:08:28,160 Speaker 6: this going to help me keep my enterprise secure? Is 162 00:08:28,200 --> 00:08:32,160 Speaker 6: this going to help me take it forward? At the CEO, CIO, 163 00:08:32,320 --> 00:08:35,360 Speaker 6: CSOW level, the concerns are more around how do we 164 00:08:35,400 --> 00:08:39,160 Speaker 6: make sure like our business lines, our service groups can 165 00:08:39,200 --> 00:08:41,880 Speaker 6: adopt this very efficiently, and it's going to. 166 00:08:42,200 --> 00:08:45,360 Speaker 2: Be at varying rates of adoption for different companies depending 167 00:08:45,400 --> 00:08:47,920 Speaker 2: on how management feels about it, you know, how committed 168 00:08:47,960 --> 00:08:50,720 Speaker 2: the staff is as well. But in the physical buildout 169 00:08:50,880 --> 00:08:54,800 Speaker 2: of AI, the data centers, the infrastructure, we're in California 170 00:08:54,880 --> 00:08:57,440 Speaker 2: right now, but that's not necessarily where the data centers 171 00:08:57,480 --> 00:09:00,400 Speaker 2: are being built, right, I mean, it's being clustered across 172 00:09:00,440 --> 00:09:01,000 Speaker 2: the country. 173 00:09:02,320 --> 00:09:04,920 Speaker 6: Yeah, So all of the EI data centers that have 174 00:09:05,040 --> 00:09:08,640 Speaker 6: been built in the last three to five years were purely. 175 00:09:08,280 --> 00:09:10,160 Speaker 5: Focused on energy efficiency. 176 00:09:10,679 --> 00:09:13,360 Speaker 6: Where could they find the lowest cost of energy and 177 00:09:13,440 --> 00:09:15,400 Speaker 6: how could they build a massive training cluster. 178 00:09:15,640 --> 00:09:16,719 Speaker 2: So that's not California. 179 00:09:16,840 --> 00:09:19,360 Speaker 5: That's not definitely not California, you know. 180 00:09:20,040 --> 00:09:24,440 Speaker 6: But as we go from training to inferencing, where everybody 181 00:09:24,480 --> 00:09:27,400 Speaker 6: starts adopting and using more AI, that is going to 182 00:09:27,440 --> 00:09:30,520 Speaker 6: require us to build these clusters very close to tier 183 00:09:30,559 --> 00:09:33,680 Speaker 6: one tier to cities, because that is where the users 184 00:09:33,720 --> 00:09:36,839 Speaker 6: are and that is where the consumption of AI is 185 00:09:36,880 --> 00:09:37,480 Speaker 6: going to occur. 186 00:09:38,480 --> 00:09:41,120 Speaker 3: You've mentioned security a couple times here. I can't even 187 00:09:41,160 --> 00:09:45,440 Speaker 3: imagine the security risks of AI. I mean, it's better 188 00:09:45,520 --> 00:09:47,680 Speaker 3: enough to have somebody's account hacked, but if you're going 189 00:09:47,720 --> 00:09:51,480 Speaker 3: to have some of these AI agents taking over the 190 00:09:51,520 --> 00:09:54,920 Speaker 3: world here, I'm thinking Arnold Schwarzenegger type stuff here, they 191 00:09:54,960 --> 00:09:56,920 Speaker 3: could get bad at there. How do you think about 192 00:09:57,000 --> 00:09:59,439 Speaker 3: what are the security conversations you're having with your clients. 193 00:09:59,480 --> 00:10:02,480 Speaker 6: We This conversation I have with my clients is are 194 00:10:02,520 --> 00:10:04,800 Speaker 6: you using AI to make your security better? 195 00:10:05,760 --> 00:10:07,640 Speaker 5: And that, I think is the more important part. 196 00:10:07,760 --> 00:10:08,120 Speaker 3: Are They? 197 00:10:09,040 --> 00:10:10,320 Speaker 5: Majority of them are not? 198 00:10:10,720 --> 00:10:12,880 Speaker 6: And that's what we do first, is we use AI 199 00:10:13,280 --> 00:10:16,280 Speaker 6: to actually make your security better, and then we use 200 00:10:16,280 --> 00:10:20,240 Speaker 6: security in everything you do with AI. So when you 201 00:10:20,320 --> 00:10:24,400 Speaker 6: start doing that, you automatically improve the trust factor within 202 00:10:24,520 --> 00:10:25,360 Speaker 6: every enterprise. 203 00:10:26,440 --> 00:10:28,280 Speaker 2: If you had to give one piece of advice to 204 00:10:28,520 --> 00:10:32,120 Speaker 2: the folks attending this conference, investors, developers who are trying 205 00:10:32,120 --> 00:10:35,240 Speaker 2: to understand how AI fits into what they've built up, 206 00:10:35,280 --> 00:10:37,320 Speaker 2: what they have been working on, what would it be. 207 00:10:38,080 --> 00:10:41,680 Speaker 6: I think the first one would be AI is only 208 00:10:41,720 --> 00:10:43,920 Speaker 6: going to grow from here, and it is very real, 209 00:10:44,400 --> 00:10:47,400 Speaker 6: and every enterprise is going to adopt AI at a 210 00:10:47,480 --> 00:10:50,680 Speaker 6: much more faster pace than they did with the Internet, 211 00:10:50,840 --> 00:10:52,800 Speaker 6: than they did with the mobile, than they did. 212 00:10:52,679 --> 00:10:53,280 Speaker 5: With the cloud. 213 00:10:53,520 --> 00:10:56,080 Speaker 6: We're at a very starting stage of this, so the 214 00:10:56,160 --> 00:10:58,119 Speaker 6: infrastructure required to build. 215 00:10:57,840 --> 00:11:00,600 Speaker 5: This AI is going to be a massive investment. 216 00:11:00,640 --> 00:11:03,760 Speaker 6: Think of it like the electrical infrastructure we built in 217 00:11:03,760 --> 00:11:06,559 Speaker 6: the last hundred plus years in the world, the transport 218 00:11:06,600 --> 00:11:07,520 Speaker 6: infrastructure we've. 219 00:11:07,400 --> 00:11:09,000 Speaker 5: Built in the last hundred years in the world. 220 00:11:09,280 --> 00:11:11,160 Speaker 6: EI should be thought of the same way in terms 221 00:11:11,200 --> 00:11:12,400 Speaker 6: of the infrastructure built out. 222 00:11:13,280 --> 00:11:16,400 Speaker 3: Stay with us. More from Bloomberg Intelligence coming up after this. 223 00:11:20,280 --> 00:11:24,000 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 224 00:11:24,040 --> 00:11:27,160 Speaker 1: weekdays at ten am Eastern on Apple Cocklay and Android 225 00:11:27,160 --> 00:11:30,480 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 226 00:11:30,520 --> 00:11:33,640 Speaker 1: you get your podcasts, or watch us live on YouTube. 227 00:11:34,440 --> 00:11:37,360 Speaker 3: We're broadcasting live from the Eisner Emperor West Coast Real 228 00:11:37,440 --> 00:11:39,559 Speaker 3: Estate Summit here in San Francisco. Before we laeve, I 229 00:11:39,559 --> 00:11:42,839 Speaker 3: gotta get some credit to Sebastian or technical director, get 230 00:11:42,920 --> 00:11:44,679 Speaker 3: us all set up out here in San Francisco and 231 00:11:44,760 --> 00:11:47,760 Speaker 3: so smooth, and he makes it done. But now I 232 00:11:47,760 --> 00:11:49,480 Speaker 3: got to throw him under the bus big time. I 233 00:11:49,480 --> 00:11:51,040 Speaker 3: come in this morning, I say, hey, go make a 234 00:11:51,040 --> 00:11:53,800 Speaker 3: Starbucks run. What do you want here? We go listen 235 00:11:53,880 --> 00:11:57,080 Speaker 3: to this tall macha. I'm already done at that point. 236 00:11:57,360 --> 00:12:01,880 Speaker 3: Tall macha with banana cream, cold foam. Don't tell any 237 00:12:01,880 --> 00:12:03,320 Speaker 3: of my boys back home that I made that. 238 00:12:03,360 --> 00:12:03,760 Speaker 2: But you did? 239 00:12:03,840 --> 00:12:06,240 Speaker 3: You put anywhere and it came back. It looked actually 240 00:12:06,280 --> 00:12:08,440 Speaker 3: like okay, if you like green drinks in the morning. 241 00:12:08,480 --> 00:12:10,240 Speaker 3: I'm not sure how that works, but we're here in 242 00:12:10,240 --> 00:12:11,720 Speaker 3: San Francisco, happy to be heer. This is one of 243 00:12:11,720 --> 00:12:14,000 Speaker 3: my favorite towns, always has been. When people come from 244 00:12:14,400 --> 00:12:16,000 Speaker 3: Europe and say, hey, I got three or four weeks 245 00:12:16,040 --> 00:12:17,240 Speaker 3: with the family. Where am I going on? I say, 246 00:12:17,280 --> 00:12:19,160 Speaker 3: you do to Vegas and New York whatever? You have 247 00:12:19,240 --> 00:12:20,959 Speaker 3: to spend three or four days in the Beyer hang 248 00:12:21,000 --> 00:12:22,679 Speaker 3: out in San Francisco. That's how cool this part of 249 00:12:22,720 --> 00:12:24,800 Speaker 3: the world is ned single Joints is here, Chief of 250 00:12:24,840 --> 00:12:27,920 Speaker 3: Housing and Economic Development for the City and County of 251 00:12:27,960 --> 00:12:30,959 Speaker 3: San Francisco. Then, thanks so much for joining us here. 252 00:12:31,000 --> 00:12:32,280 Speaker 7: Good morning, Thanks for having me. 253 00:12:33,160 --> 00:12:36,720 Speaker 3: Tell us how you guys, when you came into office 254 00:12:37,080 --> 00:12:38,880 Speaker 3: and he looked at the city in the County of 255 00:12:38,880 --> 00:12:41,800 Speaker 3: San Francisco, what was your to do list to get 256 00:12:41,840 --> 00:12:42,880 Speaker 3: the city back? 257 00:12:43,080 --> 00:12:45,199 Speaker 7: Well, First of all, San Francisco is the most beautiful 258 00:12:45,240 --> 00:12:47,960 Speaker 7: city in the world, I agreed. Second, we have this 259 00:12:48,120 --> 00:12:52,319 Speaker 7: incredible mindset of innovation and anything as possible with a 260 00:12:53,200 --> 00:12:56,200 Speaker 7: culture that is so much bigger than our footprint of 261 00:12:56,240 --> 00:12:58,440 Speaker 7: eight hundred and fifty thousand people, and so we have 262 00:12:58,600 --> 00:13:03,000 Speaker 7: all of the tools available to us to realize our potential. 263 00:13:03,200 --> 00:13:04,800 Speaker 7: And the last year and a half have really been 264 00:13:04,840 --> 00:13:07,040 Speaker 7: about making it easier for people to do the things 265 00:13:07,040 --> 00:13:10,440 Speaker 7: that they're best at in San Francisco, cleaning up the streets, 266 00:13:11,400 --> 00:13:14,840 Speaker 7: making this a safe, great place to raise a family. 267 00:13:15,160 --> 00:13:17,800 Speaker 7: And so the list always starts with clean and safe 268 00:13:19,280 --> 00:13:21,840 Speaker 7: because that's foundational to so many the things that we do, 269 00:13:21,920 --> 00:13:24,040 Speaker 7: whether it's for a company or for a family. 270 00:13:25,040 --> 00:13:26,600 Speaker 5: And then we think about the. 271 00:13:26,520 --> 00:13:29,360 Speaker 7: Mental health and drug crises on our streets, and then 272 00:13:29,360 --> 00:13:31,600 Speaker 7: we think about our economy and all the things we 273 00:13:31,640 --> 00:13:33,320 Speaker 7: need to do to revitalize our economy, and we feel 274 00:13:33,360 --> 00:13:34,480 Speaker 7: like we're on a really good start. 275 00:13:34,760 --> 00:13:37,160 Speaker 2: You work very closely with the new mayor, Dan Lourie, 276 00:13:37,600 --> 00:13:40,920 Speaker 2: and he has made permitting reform a big, big issue. 277 00:13:40,960 --> 00:13:44,080 Speaker 2: And this has to do with how easy or in 278 00:13:44,280 --> 00:13:46,800 Speaker 2: San Francisco's case, how difficult it's been for a small 279 00:13:46,840 --> 00:13:49,400 Speaker 2: business to open a business, to just be able to 280 00:13:49,440 --> 00:13:50,560 Speaker 2: get stuff done. 281 00:13:50,720 --> 00:13:51,839 Speaker 3: What did it look like before? 282 00:13:51,880 --> 00:13:52,959 Speaker 2: What does it look like now? 283 00:13:53,160 --> 00:13:55,000 Speaker 7: Well, I'd say we've changed it in two ways. One 284 00:13:55,080 --> 00:13:58,160 Speaker 7: is there's clearly a mindset in city Hall from people 285 00:13:58,200 --> 00:14:00,120 Speaker 7: who've been there for decades and those of us who've 286 00:14:00,160 --> 00:14:02,480 Speaker 7: only been there for a small amount of time, that 287 00:14:02,679 --> 00:14:05,320 Speaker 7: we want to fix the small problems and make it easier. 288 00:14:05,320 --> 00:14:07,920 Speaker 7: And that message has become crystal clear to small businesses. 289 00:14:08,080 --> 00:14:10,720 Speaker 7: So they come to us with ideas they open a 290 00:14:10,760 --> 00:14:13,440 Speaker 7: business or a second store that they may not have 291 00:14:13,520 --> 00:14:15,800 Speaker 7: before because they know that we're on their side and 292 00:14:15,840 --> 00:14:18,479 Speaker 7: that we're trying to help them. That mindset has helped tremendously. 293 00:14:18,559 --> 00:14:21,600 Speaker 7: It's not enough, though we've passed twenty pieces of legislation 294 00:14:21,880 --> 00:14:24,600 Speaker 7: to make it easier to build housing and to start 295 00:14:24,720 --> 00:14:27,400 Speaker 7: or run a small business. Now get this. If you 296 00:14:27,440 --> 00:14:30,440 Speaker 7: want to paint your logo on the window of your store, 297 00:14:30,760 --> 00:14:33,080 Speaker 7: you don't need a permit anymore. I know it sounds 298 00:14:33,280 --> 00:14:35,600 Speaker 7: like something maybe you didn't need a permit for before, 299 00:14:35,600 --> 00:14:37,200 Speaker 7: but now you don't need a permit for it today. 300 00:14:37,440 --> 00:14:39,800 Speaker 7: If you want to put tables and chairs outside your 301 00:14:40,160 --> 00:14:43,880 Speaker 7: bar or restaurant, you don't need to come see us 302 00:14:43,920 --> 00:14:46,560 Speaker 7: once a year when you should be at your bar restaurant, 303 00:14:46,600 --> 00:14:49,440 Speaker 7: and you don't need to pass twenty five hundred dollars 304 00:14:49,520 --> 00:14:52,440 Speaker 7: a year for that permit. Those are two great examples, 305 00:14:52,440 --> 00:14:55,520 Speaker 7: but there's so many more of where we're just knocking 306 00:14:55,560 --> 00:14:58,160 Speaker 7: down challenges that we put in front of people. These 307 00:14:58,160 --> 00:15:00,520 Speaker 7: things were all there through good intent. There were too 308 00:15:00,520 --> 00:15:02,400 Speaker 7: many of them, and were trying to remove as many 309 00:15:02,440 --> 00:15:02,920 Speaker 7: of them as we can. 310 00:15:02,960 --> 00:15:05,040 Speaker 3: It's funny you mentioned you out there diningis my cab, 311 00:15:05,400 --> 00:15:07,280 Speaker 3: my uber coming in. I did not take the way moo. 312 00:15:07,440 --> 00:15:08,000 Speaker 5: I tried it. 313 00:15:09,080 --> 00:15:11,680 Speaker 3: Take my uber coming in. I saw people sitting outside 314 00:15:11,680 --> 00:15:13,480 Speaker 3: with the lights out, in the restaurant's habits, out there, 315 00:15:13,480 --> 00:15:15,480 Speaker 3: sitting where you used to that in the city. And yes, city, Yes, 316 00:15:15,640 --> 00:15:17,840 Speaker 3: I hadn't seen that before too often in San Francisco. 317 00:15:17,880 --> 00:15:18,920 Speaker 3: It's kind of too cold for that. 318 00:15:19,680 --> 00:15:22,440 Speaker 7: You know, you're telling me it's colder in San Francisco 319 00:15:22,560 --> 00:15:23,480 Speaker 7: than it is in New York. 320 00:15:25,320 --> 00:15:26,960 Speaker 3: Because of the month of the year. It is, no 321 00:15:27,080 --> 00:15:28,600 Speaker 3: it's you know, the coldest winter I ever spent was 322 00:15:28,640 --> 00:15:31,760 Speaker 3: the summer I spent sat That's cool. Talk to us 323 00:15:31,760 --> 00:15:34,800 Speaker 3: about just the business community here. AI has been such 324 00:15:35,600 --> 00:15:39,520 Speaker 3: a big development globally, but boy, the epicenter's right here 325 00:15:39,560 --> 00:15:40,720 Speaker 3: in San Francisco. 326 00:15:40,360 --> 00:15:40,840 Speaker 5: Isn't it. 327 00:15:40,840 --> 00:15:43,200 Speaker 7: It really is right here in San Francisco. It's incredible 328 00:15:43,200 --> 00:15:44,760 Speaker 7: that you can walk just a few blocks from where 329 00:15:44,760 --> 00:15:47,240 Speaker 7: we are today and those companies that you hear about 330 00:15:47,320 --> 00:15:51,240 Speaker 7: changing the world wherever you are in the world, uh, 331 00:15:51,280 --> 00:15:54,720 Speaker 7: they are right here, and their employees are living here, 332 00:15:55,160 --> 00:15:57,920 Speaker 7: they are going to dinner here, they are raising families here, 333 00:15:58,160 --> 00:16:00,840 Speaker 7: and the mayor, myself and others, we're also asked them 334 00:16:00,880 --> 00:16:04,000 Speaker 7: to be a part of helping San Francisco realize its 335 00:16:04,000 --> 00:16:06,520 Speaker 7: potential if that means chipping in, whether it's through volunteering 336 00:16:06,840 --> 00:16:09,480 Speaker 7: or contributing capital to some of the real opportunities that 337 00:16:09,520 --> 00:16:11,920 Speaker 7: we see for public private partnerships as well. 338 00:16:12,520 --> 00:16:15,160 Speaker 2: So it's not just office demand that gets a lot 339 00:16:15,200 --> 00:16:19,080 Speaker 2: of the headlines, but it's also conventions towardsm the visitor's economy. 340 00:16:19,080 --> 00:16:19,920 Speaker 3: Paul and I are here. 341 00:16:19,920 --> 00:16:22,040 Speaker 2: We're spending money at the Four Seasons of Marcadero. 342 00:16:22,120 --> 00:16:23,320 Speaker 3: We're spending money in the city. 343 00:16:23,320 --> 00:16:27,360 Speaker 2: Today, we're attending the eiser ampor West Coast Real Estate Summit. 344 00:16:27,680 --> 00:16:29,760 Speaker 3: What is that like to try to get. 345 00:16:29,560 --> 00:16:33,040 Speaker 2: Companies to get back in here and commit to building 346 00:16:33,120 --> 00:16:36,240 Speaker 2: up a presence again in San Francisco. How's that different 347 00:16:36,240 --> 00:16:39,600 Speaker 2: from building affordable housing and reducing the red tape for 348 00:16:39,640 --> 00:16:40,440 Speaker 2: small businesses. 349 00:16:40,480 --> 00:16:43,040 Speaker 7: Well, it's all linked. Those same things that you do 350 00:16:43,120 --> 00:16:45,880 Speaker 7: for small businesses or for families to make it use 351 00:16:45,960 --> 00:16:47,680 Speaker 7: that I have a home, those ladder up to the 352 00:16:47,680 --> 00:16:49,560 Speaker 7: work for businesses as well, because if you run a 353 00:16:49,560 --> 00:16:53,600 Speaker 7: big company and your team can't live in the city 354 00:16:53,920 --> 00:16:57,240 Speaker 7: where you operate, that's hard for them and they're going 355 00:16:57,320 --> 00:16:59,840 Speaker 7: to choose to be somewhere else. If there aren't restaurants 356 00:16:59,840 --> 00:17:02,240 Speaker 7: and small businesses to patronize, they're not going to want 357 00:17:02,280 --> 00:17:04,639 Speaker 7: to have their employees come downtown. They're not going to 358 00:17:04,640 --> 00:17:06,600 Speaker 7: ask them to come back five days a week. So, 359 00:17:06,880 --> 00:17:08,960 Speaker 7: first of all, that work is really important. But second 360 00:17:08,960 --> 00:17:11,400 Speaker 7: of all, just as we were talking about small businesses 361 00:17:11,560 --> 00:17:14,320 Speaker 7: where we need to be cheerleaders, we need the big 362 00:17:14,320 --> 00:17:16,720 Speaker 7: companies to know that we are open for business and 363 00:17:16,760 --> 00:17:18,959 Speaker 7: we're open for feedback. We're on the phone with them 364 00:17:19,000 --> 00:17:22,879 Speaker 7: all the time. We're touring them around downtown hand in hand, 365 00:17:23,240 --> 00:17:26,480 Speaker 7: showing them the progress that we've made and talking about 366 00:17:26,520 --> 00:17:28,320 Speaker 7: the work that's still in front of us. And then 367 00:17:28,680 --> 00:17:32,000 Speaker 7: we're talking about how we know we need to be principled, predictable, 368 00:17:32,080 --> 00:17:35,800 Speaker 7: and transparent, whether it's around our tax code, or our 369 00:17:35,880 --> 00:17:39,560 Speaker 7: permitting processes, or what all the things that ladder up 370 00:17:39,600 --> 00:17:42,520 Speaker 7: to them running a big, successful company here. We've always 371 00:17:42,560 --> 00:17:46,600 Speaker 7: been a place where people start start companies. Over time 372 00:17:47,000 --> 00:17:49,600 Speaker 7: we tend to export those companies. We need them to 373 00:17:49,640 --> 00:17:51,800 Speaker 7: be comfortable that this is a great place not just 374 00:17:51,840 --> 00:17:53,800 Speaker 7: to start, but to stay for a really long time. 375 00:17:53,920 --> 00:17:56,600 Speaker 3: About affordability thirty seconds left. That's a big issue talked 376 00:17:56,600 --> 00:17:58,160 Speaker 3: to about how you're approaching affordability. 377 00:17:58,320 --> 00:18:01,520 Speaker 7: Well, we pass something called the Families Zone in December. 378 00:18:01,560 --> 00:18:03,720 Speaker 7: The mayor signed it in January. This is a roadmap 379 00:18:03,760 --> 00:18:08,800 Speaker 7: to build more height on transit corridors and denser in neighborhoods. 380 00:18:09,000 --> 00:18:11,400 Speaker 7: We need a lot more people to live in San Francisco. 381 00:18:11,520 --> 00:18:14,040 Speaker 7: Dan Doctoroff, who had a job like mine in New York, 382 00:18:14,040 --> 00:18:15,720 Speaker 7: he said to me once, he said, if the city 383 00:18:15,760 --> 00:18:18,680 Speaker 7: isn't growing, it's dying. And we know that we need 384 00:18:18,720 --> 00:18:20,920 Speaker 7: a roadmap for people to build against and that will 385 00:18:20,960 --> 00:18:22,679 Speaker 7: ladder up to affordability over time. 386 00:18:23,680 --> 00:18:28,359 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 387 00:18:28,560 --> 00:18:32,040 Speaker 1: and anywhere else you get your podcasts. Listen live each 388 00:18:32,080 --> 00:18:35,800 Speaker 1: weekday ten am to noon Eastern on Bloomberg dot com, 389 00:18:35,920 --> 00:18:39,480 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business app. 390 00:18:39,880 --> 00:18:42,840 Speaker 1: You can also watch us live every weekday on YouTube 391 00:18:43,200 --> 00:18:46,200 Speaker 1: and always on the Bloomberg terminal