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 --> 00:00:17,880 Speaker 1: Eastern on Apple, Cocklay and Android Auto with the Bloomberg 4 00:00:17,920 --> 00:00:21,040 Speaker 1: Business app. Listen on demand wherever you get your podcasts, 5 00:00:21,360 --> 00:00:23,080 Speaker 1: or watch us live on YouTube. 6 00:00:24,200 --> 00:00:28,760 Speaker 2: Switch gears to technology? Why not? Mandy sing joints us here, 7 00:00:28,760 --> 00:00:31,560 Speaker 2: globalhead of tech Research for Bloomberg Intelligence. Lots of ways 8 00:00:31,560 --> 00:00:34,760 Speaker 2: to go here, man deep, Start with sk Heinex. What 9 00:00:34,800 --> 00:00:37,880 Speaker 2: did you make of their US listing on Friday? And 10 00:00:37,920 --> 00:00:40,040 Speaker 2: maybe how that in the stocks trading off today? You know, 11 00:00:40,080 --> 00:00:44,040 Speaker 2: five percent and then traded off pretty I think was 12 00:00:44,040 --> 00:00:46,080 Speaker 2: it fifteen percent in yeah Korea? 13 00:00:46,320 --> 00:00:48,440 Speaker 3: Yeah, and it costs me down about nine percent on 14 00:00:48,479 --> 00:00:48,800 Speaker 3: the day. 15 00:00:48,960 --> 00:00:49,960 Speaker 2: What do you make of all that? 16 00:00:50,800 --> 00:00:54,360 Speaker 4: I mean, I think the data day volatility will be there, 17 00:00:54,480 --> 00:00:57,960 Speaker 4: and uh, we're kind of going through a phase where 18 00:00:58,280 --> 00:01:01,640 Speaker 4: everyone is trying to figure out the next leg of 19 00:01:01,680 --> 00:01:05,480 Speaker 4: this AI infrastructure build out and how the companies would 20 00:01:05,520 --> 00:01:08,640 Speaker 4: be reporting, especially the hyperscalers. I mean, at the end 21 00:01:08,680 --> 00:01:13,120 Speaker 4: of the day, everything comes down to the CAPEX numbers 22 00:01:13,120 --> 00:01:16,240 Speaker 4: for twenty twenty seven and twenty twenty eight, and we'll 23 00:01:16,319 --> 00:01:19,880 Speaker 4: learn about that when they report earnings, the hyperscalers and 24 00:01:21,400 --> 00:01:25,920 Speaker 4: you know there is some profit taking right now. But overall, 25 00:01:26,600 --> 00:01:29,880 Speaker 4: I thought the IPO was well received in terms of 26 00:01:30,319 --> 00:01:34,039 Speaker 4: you know, the first day bump that we saw in 27 00:01:34,160 --> 00:01:37,959 Speaker 4: terms of a close and everyone, the long term investors 28 00:01:38,000 --> 00:01:42,600 Speaker 4: do think this is a multi year cycle for memory names, 29 00:01:42,720 --> 00:01:46,480 Speaker 4: and even though they are cyclical and there is a 30 00:01:46,560 --> 00:01:50,280 Speaker 4: fear around peak earnings, I think on the whole, everyone 31 00:01:50,320 --> 00:01:53,640 Speaker 4: buys into this multi year buildout for AI. 32 00:01:54,200 --> 00:01:57,680 Speaker 3: It feels increasingly like everyone's taking their cue from the 33 00:01:57,720 --> 00:02:01,160 Speaker 3: COSP from what happens in Korea and that the tail 34 00:02:01,280 --> 00:02:03,760 Speaker 3: is wiking the dog here is that the case? 35 00:02:03,920 --> 00:02:04,080 Speaker 5: Man? 36 00:02:04,120 --> 00:02:05,880 Speaker 3: Deep? I mean, when you come in the morning, do 37 00:02:05,920 --> 00:02:07,720 Speaker 3: you look at what's happening in Korea and say, okay, 38 00:02:07,720 --> 00:02:09,040 Speaker 3: now I have a better picture of what's going to 39 00:02:09,040 --> 00:02:11,519 Speaker 3: happen globally because that sets the tone every day. 40 00:02:12,400 --> 00:02:15,360 Speaker 4: No, I mean, for me, it's just another data point 41 00:02:15,400 --> 00:02:18,480 Speaker 4: where yeah, I look at the futures, I look at 42 00:02:18,480 --> 00:02:21,560 Speaker 4: how the markets have reacted, But at the end of 43 00:02:21,600 --> 00:02:24,920 Speaker 4: the day, there are some data points that weigh a 44 00:02:24,919 --> 00:02:29,080 Speaker 4: lot more from me, and the hyper scale Capex guide 45 00:02:29,160 --> 00:02:32,120 Speaker 4: is one of them. And if I know that all 46 00:02:32,160 --> 00:02:36,799 Speaker 4: these companies are raising their capex for next year, and 47 00:02:36,840 --> 00:02:40,000 Speaker 4: we're into a thirty year of a seventy percent increase 48 00:02:40,040 --> 00:02:41,920 Speaker 4: in capex, and if next year is going to be 49 00:02:42,200 --> 00:02:45,400 Speaker 4: another fifty percent, then there is not much to worry 50 00:02:45,440 --> 00:02:48,080 Speaker 4: about at least for the next twelve to eighteen months. 51 00:02:48,120 --> 00:02:50,280 Speaker 3: Okay, And it looks like some of those hyperscalers really 52 00:02:50,400 --> 00:02:53,239 Speaker 3: don't report earnings until the end of this month. Next 53 00:02:53,280 --> 00:02:55,560 Speaker 3: tomorrow we're going to get the big banks reporting. We're 54 00:02:55,560 --> 00:02:59,480 Speaker 3: also going to hear from TSMC and ASML, two big 55 00:02:59,520 --> 00:03:03,520 Speaker 3: big names globally. How do you see that kind of 56 00:03:03,520 --> 00:03:06,760 Speaker 3: filling the vacuum between now and when the hyperscalers do 57 00:03:06,880 --> 00:03:09,600 Speaker 3: report and give us a better picture of their capex 58 00:03:09,639 --> 00:03:11,200 Speaker 3: plans for twenty twenty seven and beyond. 59 00:03:11,440 --> 00:03:16,440 Speaker 4: Yeah, I mean TSMC reported their monthly number today and 60 00:03:16,520 --> 00:03:19,400 Speaker 4: you know, we are easily tracking over a forty percent 61 00:03:19,560 --> 00:03:23,000 Speaker 4: increase or a year over year, and the seasonality was 62 00:03:23,040 --> 00:03:27,000 Speaker 4: better than expected. So when you look at TSMC's results, 63 00:03:27,040 --> 00:03:30,520 Speaker 4: which hasn't really used their pricing power like the Memory 64 00:03:30,560 --> 00:03:33,400 Speaker 4: guys have, so in the case of Memory top line, 65 00:03:33,760 --> 00:03:36,600 Speaker 4: you see a lot of pricing growth. TSMC, on the 66 00:03:36,600 --> 00:03:39,040 Speaker 4: other hand, has been a lot more balanced in terms 67 00:03:39,040 --> 00:03:44,240 Speaker 4: of volume versus pricing. And it's just a question like 68 00:03:44,600 --> 00:03:48,920 Speaker 4: the durability of TSMC's growth ASML's growth. And all of 69 00:03:48,920 --> 00:03:52,640 Speaker 4: these Memory guys, whether it's ske Heinex or Micron, have 70 00:03:52,760 --> 00:03:56,760 Speaker 4: talked about raising their own capex, so that means ASML 71 00:03:56,920 --> 00:04:02,920 Speaker 4: is a beneficiary of Memory capex. And right now everyone 72 00:04:03,040 --> 00:04:06,560 Speaker 4: buys into this thesis that you have to keep investing 73 00:04:06,680 --> 00:04:09,960 Speaker 4: to keep raising their capex just to increase the supply 74 00:04:10,120 --> 00:04:14,040 Speaker 4: by fifteen twenty percent, and even that would not be sufficient. 75 00:04:14,360 --> 00:04:17,040 Speaker 4: That's what the skehih next cheerman said is we will 76 00:04:17,080 --> 00:04:19,800 Speaker 4: double our supply through twenty thirty at a kegre of 77 00:04:19,839 --> 00:04:23,560 Speaker 4: fifteen percent, but we will still be under supplied. So 78 00:04:24,240 --> 00:04:28,560 Speaker 4: the demand growth will outpace fifteen to twenty percent supply 79 00:04:28,680 --> 00:04:31,159 Speaker 4: growth that these companies are investing in. 80 00:04:31,640 --> 00:04:34,880 Speaker 2: Okay, again, the numbers is blown me away, dude, But 81 00:04:34,920 --> 00:04:37,600 Speaker 2: I'm going to take what you're seeing face value. If 82 00:04:37,640 --> 00:04:41,040 Speaker 2: I'm a Meta or Google or Amazon, what do I 83 00:04:41,640 --> 00:04:45,039 Speaker 2: want to put up a big capex forecast or not? 84 00:04:45,320 --> 00:04:46,640 Speaker 2: Where are we in that play? 85 00:04:46,680 --> 00:04:46,880 Speaker 5: There? 86 00:04:47,720 --> 00:04:49,440 Speaker 2: Does a mark I want to see these guys keep 87 00:04:49,560 --> 00:04:51,279 Speaker 2: spending or we kind of pass that. 88 00:04:52,040 --> 00:04:54,800 Speaker 4: I think the market wants to see them spending at 89 00:04:54,839 --> 00:04:59,920 Speaker 4: the same time show some revenue lift to their top lines. 90 00:05:00,080 --> 00:05:03,320 Speaker 4: So in the case of Meta and Microsoft and Google, 91 00:05:03,880 --> 00:05:06,840 Speaker 4: they want to see that cloud business get a bump, 92 00:05:07,480 --> 00:05:10,880 Speaker 4: the core ads business get a bump from AI, and 93 00:05:11,000 --> 00:05:15,320 Speaker 4: the AI contribution has to be very clear. So like 94 00:05:15,400 --> 00:05:19,200 Speaker 4: Google Cloud growth, for example, has surpassed fifty percent. Now 95 00:05:19,360 --> 00:05:23,799 Speaker 4: expectations why they were growing traditionally Cloud rose growing twenty 96 00:05:23,839 --> 00:05:28,320 Speaker 4: to twenty five percent. That additional twenty five percent plus 97 00:05:28,360 --> 00:05:32,440 Speaker 4: growth is coming from AI. So similarly, you want to 98 00:05:32,480 --> 00:05:36,000 Speaker 4: see that reflected in all the hyperscalers that are reporting 99 00:05:36,320 --> 00:05:38,960 Speaker 4: that this is the AI portion, and hence we are 100 00:05:39,040 --> 00:05:41,360 Speaker 4: raising our capex, and I think the market will cheer 101 00:05:41,400 --> 00:05:41,600 Speaker 4: for that. 102 00:05:42,320 --> 00:05:42,920 Speaker 6: Stay with us. 103 00:05:43,040 --> 00:05:45,240 Speaker 3: More from Bloomberg Intelligence coming up after this. 104 00:05:49,440 --> 00:05:53,120 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 105 00:05:53,200 --> 00:05:56,680 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 106 00:05:56,680 --> 00:05:59,719 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 107 00:05:59,720 --> 00:06:02,800 Speaker 1: get your podcasts, or watch us live on YouTube. 108 00:06:03,440 --> 00:06:05,800 Speaker 2: Right now, we want to talk about Apple. They're in 109 00:06:05,839 --> 00:06:11,920 Speaker 2: the courts fighting Open AI regarding intellectual property. It's I 110 00:06:11,960 --> 00:06:13,960 Speaker 2: don't know it's legal stuff, folks. But let's get to 111 00:06:14,000 --> 00:06:16,200 Speaker 2: an expert because I'm not really sure what's going on here. 112 00:06:16,200 --> 00:06:20,040 Speaker 2: Talent Basin joins us here tech litigation analysts for Bloomberg Intelligence. 113 00:06:20,040 --> 00:06:24,520 Speaker 2: He's based in London. Talent summarize what's going on here 114 00:06:24,640 --> 00:06:27,480 Speaker 2: with open ai and our good friends at Apple. 115 00:06:28,520 --> 00:06:31,800 Speaker 6: Yeah, sure, parl Yeah. So this is a intellectual property case, 116 00:06:31,800 --> 00:06:35,120 Speaker 6: and specifically it's on trade secrets. On trade secrets are 117 00:06:35,160 --> 00:06:39,080 Speaker 6: sort of the most cloaking dagger form of intellectual property disputes, 118 00:06:39,279 --> 00:06:42,040 Speaker 6: and sort of reading the complaint over the weekend, that's 119 00:06:42,240 --> 00:06:44,600 Speaker 6: you know, there's no exception here. So Apple is accusing 120 00:06:44,680 --> 00:06:49,719 Speaker 6: open Ai of a coordinated orchestrated attempt to gain some 121 00:06:49,839 --> 00:06:54,320 Speaker 6: of it's proprietary know how relating to making devices for 122 00:06:54,839 --> 00:06:58,960 Speaker 6: the next iteration of AI rollouts. So they started about 123 00:06:58,960 --> 00:07:02,440 Speaker 6: a year and a half ago and open ai spent 124 00:07:02,520 --> 00:07:06,320 Speaker 6: about six point five billion dollars to acquire a companied 125 00:07:06,440 --> 00:07:11,680 Speaker 6: coyled io. This had been founded by some former Apple executives. 126 00:07:12,720 --> 00:07:15,640 Speaker 6: One of those executives is now the head of software 127 00:07:15,680 --> 00:07:18,800 Speaker 6: development at open ai. And what this lawsuit lays out 128 00:07:18,920 --> 00:07:26,000 Speaker 6: is at various stages where even engineers at Apple were recruited, 129 00:07:26,040 --> 00:07:30,200 Speaker 6: were asked to bring Apple devices to open AI interviews 130 00:07:30,520 --> 00:07:34,000 Speaker 6: and to share proprietary information. So what Apple was doing 131 00:07:34,080 --> 00:07:36,200 Speaker 6: is they have sued, they want an injunction. They want 132 00:07:36,240 --> 00:07:37,800 Speaker 6: to put a stop to what they see as an 133 00:07:37,800 --> 00:07:41,760 Speaker 6: attempt to shortcut Open Eyes, attempt to shorten its way 134 00:07:41,800 --> 00:07:43,240 Speaker 6: into the devices. 135 00:07:43,960 --> 00:07:47,640 Speaker 3: Okay, so lawsuits typically take a long time to get resolved, 136 00:07:47,680 --> 00:07:51,600 Speaker 3: and of course technology and technological change happens very very quickly. 137 00:07:52,200 --> 00:07:54,680 Speaker 3: What are you thinking about in terms of timeline for 138 00:07:54,720 --> 00:07:59,320 Speaker 3: any kind of landmark not even decisions, but landmark events 139 00:07:59,360 --> 00:08:02,480 Speaker 3: in this loss to affect the technology that both sides 140 00:08:02,520 --> 00:08:03,080 Speaker 3: are working on. 141 00:08:04,160 --> 00:08:07,840 Speaker 6: Yeah, and that's an excellent point. These cases long often 142 00:08:07,880 --> 00:08:10,160 Speaker 6: do have long tails to them. However, I think what 143 00:08:10,160 --> 00:08:13,200 Speaker 6: we're expecting over the next two to three weeks is 144 00:08:13,240 --> 00:08:15,920 Speaker 6: Apple to file up, follow up with a request for 145 00:08:16,040 --> 00:08:19,960 Speaker 6: a preliminary injunction. Really, what it's going to ask the 146 00:08:20,000 --> 00:08:22,640 Speaker 6: court to do is put some guardware else around what 147 00:08:22,720 --> 00:08:26,480 Speaker 6: it says are as trade secrets, preservations of evidence. So 148 00:08:26,560 --> 00:08:29,440 Speaker 6: it's going to be probably looking for something in three Q, 149 00:08:29,640 --> 00:08:32,640 Speaker 6: if not in four Q, for an early ruling on 150 00:08:32,880 --> 00:08:35,480 Speaker 6: that preliminary injunctioning request, and we do think Apple has 151 00:08:35,520 --> 00:08:39,040 Speaker 6: a pretty strong argument here. Courts are you know, it's 152 00:08:39,080 --> 00:08:42,080 Speaker 6: so difficult to pull those trade secrets out of a 153 00:08:42,120 --> 00:08:44,600 Speaker 6: product if it goes to market. So I think, now 154 00:08:44,960 --> 00:08:47,280 Speaker 6: no products have shipped yet, I think Apple is going 155 00:08:47,320 --> 00:08:50,119 Speaker 6: to have a fairly strong chance to get that temporary 156 00:08:50,400 --> 00:08:54,120 Speaker 6: preliminary injunction probably in the next few months. After that, 157 00:08:54,160 --> 00:08:55,680 Speaker 6: we're going to have to see you know that there's 158 00:08:55,720 --> 00:08:58,880 Speaker 6: potentially going to be settlement talks as I go forward, 159 00:08:59,640 --> 00:09:02,680 Speaker 6: But I think Apple's eyes right now are on getting 160 00:09:02,720 --> 00:09:04,640 Speaker 6: some near term relief in this. 161 00:09:05,559 --> 00:09:08,920 Speaker 3: How do you think about the employees that have left 162 00:09:08,960 --> 00:09:11,319 Speaker 3: Apple and gone over to open Ai. What kind of 163 00:09:11,400 --> 00:09:12,520 Speaker 3: risks did they face? 164 00:09:12,559 --> 00:09:16,320 Speaker 6: Now, Yeah, a few of them have been named in 165 00:09:16,400 --> 00:09:19,880 Speaker 6: this lawsuit, and for those name defendants, the risks are 166 00:09:20,360 --> 00:09:24,200 Speaker 6: very high. So we've seen these litigations play out. Some 167 00:09:24,320 --> 00:09:28,360 Speaker 6: other high sticks instances are Weaimo, which is Google self 168 00:09:28,440 --> 00:09:32,240 Speaker 6: driving car division. About five years ago it sued Uber 169 00:09:32,400 --> 00:09:36,160 Speaker 6: over sort of self driving car technology. The executive there 170 00:09:36,320 --> 00:09:39,000 Speaker 6: ended up going to jail. This was somebody who left 171 00:09:39,080 --> 00:09:42,120 Speaker 6: Weimo went to Uber. So the stakes can be pretty high. 172 00:09:42,280 --> 00:09:45,200 Speaker 6: Right now, there is no criminal component to this case. However, 173 00:09:45,640 --> 00:09:48,680 Speaker 6: for trade secrets disputes, that can sort of escalate quickly, 174 00:09:49,120 --> 00:09:51,160 Speaker 6: So I think everybody is going to be a little 175 00:09:51,160 --> 00:09:53,880 Speaker 6: bit on edge. And it's also interesting because there's such 176 00:09:53,880 --> 00:09:56,480 Speaker 6: a talent warrant right now, not just between these companies, 177 00:09:56,480 --> 00:09:59,920 Speaker 6: for all companies trying to gain as much AI talent 178 00:10:00,200 --> 00:10:01,960 Speaker 6: as possible. So I think we're going to have to 179 00:10:01,960 --> 00:10:04,120 Speaker 6: see if this has sort of a dampening impact on 180 00:10:04,160 --> 00:10:06,320 Speaker 6: how much poaching we're seeing in the industry. 181 00:10:07,400 --> 00:10:10,640 Speaker 2: On Wall Street, there's something called garden leave. When you 182 00:10:10,720 --> 00:10:13,679 Speaker 2: leave one firm for another. There you can't go start 183 00:10:13,720 --> 00:10:16,240 Speaker 2: work at that new firm for at least six months, 184 00:10:16,240 --> 00:10:21,319 Speaker 2: sometimes longer, to try to preserve some of the corporate 185 00:10:21,480 --> 00:10:23,840 Speaker 2: in intellectual property from the firm you're leaving. Is there 186 00:10:23,840 --> 00:10:25,120 Speaker 2: anything like that in technology? 187 00:10:26,160 --> 00:10:29,040 Speaker 6: Technology is generally pushed back on that, just because sort of, 188 00:10:29,040 --> 00:10:32,120 Speaker 6: again as pointing out, a lot of the development and 189 00:10:32,200 --> 00:10:36,040 Speaker 6: this is so fast paced that having an executive having 190 00:10:36,080 --> 00:10:38,880 Speaker 6: a star engineer sort of sit on our sidelines for 191 00:10:38,920 --> 00:10:41,600 Speaker 6: six months can be really a disadvantage. So sort of 192 00:10:41,679 --> 00:10:44,960 Speaker 6: we've seen across the entire tech space is resistance to 193 00:10:45,000 --> 00:10:48,360 Speaker 6: that sort of garden leave type scenario. We'll see get 194 00:10:48,440 --> 00:10:52,439 Speaker 6: going forward if firms are more open to implementing that, 195 00:10:52,600 --> 00:10:54,920 Speaker 6: But so far we've seen a lot of reluctance. 196 00:10:56,040 --> 00:10:58,480 Speaker 3: What does this mean for open aiy's ability to recruit, 197 00:10:59,400 --> 00:11:02,120 Speaker 3: you know, tech folks from other firms in Silicon Valley. 198 00:11:03,400 --> 00:11:05,880 Speaker 6: Yeah, I do think it's a bit of a reputational 199 00:11:06,280 --> 00:11:09,200 Speaker 6: risk right now. I think until there's more clarity on 200 00:11:09,240 --> 00:11:11,920 Speaker 6: what's going to happen with this lawsuit. And again, this 201 00:11:12,400 --> 00:11:14,840 Speaker 6: is not the first time open ai has been sued, 202 00:11:15,480 --> 00:11:17,280 Speaker 6: so I think there's been a lot of litigation that's 203 00:11:17,280 --> 00:11:19,800 Speaker 6: attached to it. So I think it probably does over 204 00:11:19,840 --> 00:11:22,800 Speaker 6: the near term, until there's more clarity, it probably does 205 00:11:22,840 --> 00:11:25,280 Speaker 6: put a bit of a dampening impact on its ability 206 00:11:25,320 --> 00:11:27,920 Speaker 6: to go out there and recruit some of the biggest 207 00:11:27,960 --> 00:11:28,760 Speaker 6: names that it may want. 208 00:11:29,760 --> 00:11:30,400 Speaker 4: Stay with us. 209 00:11:30,480 --> 00:11:32,679 Speaker 3: More from Bloomberg Intelligence coming up after this. 210 00:11:36,480 --> 00:11:40,160 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 211 00:11:40,240 --> 00:11:43,280 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 212 00:11:43,320 --> 00:11:46,560 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 213 00:11:46,640 --> 00:11:49,720 Speaker 1: you get your podcasts, or watch us live on YouTube. 214 00:11:50,280 --> 00:11:52,480 Speaker 2: When you think about the charging of the EV business, 215 00:11:52,559 --> 00:11:55,240 Speaker 2: I think of it as still an industry that's in infancy, 216 00:11:55,440 --> 00:11:58,160 Speaker 2: still growing, trying to add capacity. So when I read 217 00:11:58,280 --> 00:12:01,800 Speaker 2: this kind of surprised me. There has been an increasing 218 00:12:02,080 --> 00:12:05,680 Speaker 2: number of charging network acquisitions in Europe. Again, I wasn't 219 00:12:05,720 --> 00:12:08,960 Speaker 2: expecting to see that from this industry at this stage 220 00:12:09,000 --> 00:12:12,319 Speaker 2: of its life cycle. Ryan Fisher, ev Charging team leader 221 00:12:12,559 --> 00:12:16,880 Speaker 2: for Bloomberg bn EF, joins us from London. So Ryan, 222 00:12:16,960 --> 00:12:20,680 Speaker 2: we're seeing some consolidation in Europe of the charging business. 223 00:12:20,679 --> 00:12:21,440 Speaker 2: What's going on there? 224 00:12:22,800 --> 00:12:25,439 Speaker 5: Yeah, so thanks Paul. What we've started to see is 225 00:12:25,480 --> 00:12:28,080 Speaker 5: a numerous amount of acquisitions that you've kind of got 226 00:12:28,280 --> 00:12:30,520 Speaker 5: well funded players and then you've got a load of 227 00:12:30,559 --> 00:12:33,800 Speaker 5: smaller businesses who are trying to stay aflow and they're 228 00:12:33,800 --> 00:12:36,520 Speaker 5: starting to be acquired. You've also seen some mergers. There's 229 00:12:36,800 --> 00:12:39,679 Speaker 5: a merger just happened last week between a couple of 230 00:12:39,679 --> 00:12:44,439 Speaker 5: the biggest providers MR and Evini in largely Scandinavia, where 231 00:12:44,440 --> 00:12:46,320 Speaker 5: they got some German assets. I think that are also 232 00:12:46,400 --> 00:12:48,200 Speaker 5: going to be transferred in that deal, which makes them 233 00:12:48,240 --> 00:12:50,440 Speaker 5: the biggest company. So more and more of them thinking 234 00:12:50,480 --> 00:12:53,880 Speaker 5: about scale as an opportunity. And obviously you said kind 235 00:12:53,880 --> 00:12:55,920 Speaker 5: of a surprise maybe difference between what you see in 236 00:12:55,960 --> 00:12:57,720 Speaker 5: Europe and what you sing in the US within these 237 00:12:57,720 --> 00:12:58,480 Speaker 5: markets as well. 238 00:12:58,880 --> 00:13:01,320 Speaker 2: So give us a sense of kind of where the 239 00:13:01,480 --> 00:13:03,640 Speaker 2: charging network in Europe. I don't know if you can 240 00:13:03,800 --> 00:13:07,520 Speaker 2: call it Europe writ larger or if it's country by country. Again, 241 00:13:07,559 --> 00:13:10,200 Speaker 2: I would say here in the US, I mean just 242 00:13:10,280 --> 00:13:12,200 Speaker 2: barely a blip on the screen. Talk to us about 243 00:13:12,280 --> 00:13:13,400 Speaker 2: in your world over in Europe. 244 00:13:14,600 --> 00:13:17,120 Speaker 5: Yeah, yeah, So there's hundreds of thousands of these things 245 00:13:17,120 --> 00:13:18,960 Speaker 5: been installed, and often the question is like, oh, I 246 00:13:18,960 --> 00:13:21,640 Speaker 5: can't buy an EV there's no charges. Well, actually they've 247 00:13:21,679 --> 00:13:24,640 Speaker 5: been installed at such a pace that utilization has been 248 00:13:24,640 --> 00:13:26,679 Speaker 5: a bit of a problem for some of these companies, 249 00:13:26,720 --> 00:13:29,640 Speaker 5: and then the revenues because there's just so many charges 250 00:13:29,679 --> 00:13:31,720 Speaker 5: for people to choose. So then it becomes like if 251 00:13:31,760 --> 00:13:34,679 Speaker 5: you're buying a network, like what's actually considered a good network, 252 00:13:35,240 --> 00:13:37,160 Speaker 5: and some of them have more charges at the site, 253 00:13:37,200 --> 00:13:40,160 Speaker 5: some of them had these really fast power chargers, and 254 00:13:40,200 --> 00:13:41,920 Speaker 5: that makes a big difference to like whether you want 255 00:13:41,920 --> 00:13:44,079 Speaker 5: to buy it. As well as fundamentally, do they actually 256 00:13:44,120 --> 00:13:47,400 Speaker 5: own the land, and what's the right to expand and 257 00:13:47,440 --> 00:13:49,400 Speaker 5: have you got good grid connections and all this is 258 00:13:49,440 --> 00:13:52,400 Speaker 5: coming into play when somebody's fundamentally assessing like do I 259 00:13:52,440 --> 00:13:56,000 Speaker 5: want to buy this company or not? When you think 260 00:13:56,040 --> 00:13:58,679 Speaker 5: about the US, it's just so heavily dominated by Tesla's 261 00:13:58,720 --> 00:14:01,520 Speaker 5: and I think then you've also got all of the 262 00:14:01,559 --> 00:14:06,480 Speaker 5: policy environment which has affected people's confidence to roll things out. 263 00:14:06,520 --> 00:14:09,960 Speaker 5: They've got rid of the Navy grants. Obviously, they've got 264 00:14:10,040 --> 00:14:11,960 Speaker 5: rid of the grants for the actual buying of the 265 00:14:12,040 --> 00:14:15,560 Speaker 5: vehicles as well. But we are seeing pockets of companies 266 00:14:15,679 --> 00:14:18,240 Speaker 5: raising money and rolling out and having a bit more 267 00:14:18,240 --> 00:14:21,400 Speaker 5: interest in preparation for what obviously is a growing fleet. 268 00:14:21,600 --> 00:14:24,320 Speaker 5: Like sales might be consistent, but the actual fleet of 269 00:14:24,360 --> 00:14:28,200 Speaker 5: electric vehicles is therefore still growing, and it's somewhat monopolistic. 270 00:14:29,160 --> 00:14:30,880 Speaker 5: I alluded to a point about Tesla, and I'll just 271 00:14:30,920 --> 00:14:34,000 Speaker 5: remake that one, so on market share that they own 272 00:14:34,040 --> 00:14:35,320 Speaker 5: a big portion of the market. You want to go 273 00:14:35,320 --> 00:14:36,840 Speaker 5: to a fast charger, you're probably going to turn up 274 00:14:36,840 --> 00:14:39,760 Speaker 5: a Tesla in the US. But weirdly that actually is 275 00:14:40,120 --> 00:14:42,840 Speaker 5: having some consequences for the market because a lot of 276 00:14:42,880 --> 00:14:45,479 Speaker 5: the cars are changing to new eight hundred vault platforms, 277 00:14:45,920 --> 00:14:47,920 Speaker 5: and this means that you can get super fast charging 278 00:14:48,000 --> 00:14:52,400 Speaker 5: rates that can get you like five ten minutes and 279 00:14:52,440 --> 00:14:55,480 Speaker 5: you're on the move, whereas the Tesla chargers don't have 280 00:14:55,560 --> 00:14:58,560 Speaker 5: that higher voltage availability. They've sort of announced it with 281 00:14:58,640 --> 00:15:01,560 Speaker 5: these V four kind of, but actually they've only installed 282 00:15:01,560 --> 00:15:05,000 Speaker 5: like ten sites with them. So in a weird way, 283 00:15:05,040 --> 00:15:07,560 Speaker 5: if you're buying one of these fancy evs in the US, 284 00:15:07,640 --> 00:15:10,760 Speaker 5: the kind of new platforms, the BMW's and things like that, 285 00:15:11,280 --> 00:15:13,240 Speaker 5: you can't actually turn up at the Tesla site and 286 00:15:13,240 --> 00:15:16,200 Speaker 5: get the advertised charging power that they were saying. So 287 00:15:16,960 --> 00:15:19,640 Speaker 5: Tesla has been the leader, but in some ways having 288 00:15:19,640 --> 00:15:21,720 Speaker 5: such market share and not having the latest technology, it's 289 00:15:21,720 --> 00:15:23,000 Speaker 5: a bit of a problem. 290 00:15:23,560 --> 00:15:25,680 Speaker 2: Yeah, I mean that's there's one of many here in 291 00:15:25,720 --> 00:15:27,600 Speaker 2: the US, as you were mentioning here. But how about 292 00:15:27,680 --> 00:15:32,920 Speaker 2: in Europe? Do I've heard that or I've seen that 293 00:15:33,320 --> 00:15:36,200 Speaker 2: some of the field distribution centers, to the gas stations, 294 00:15:36,240 --> 00:15:38,680 Speaker 2: the BPS, the shells of the world, how are they 295 00:15:38,720 --> 00:15:41,000 Speaker 2: adapting to evs and charging. 296 00:15:42,320 --> 00:15:44,520 Speaker 5: Yeah, they were both pretty big as they were in 297 00:15:44,600 --> 00:15:47,080 Speaker 5: everything energy transition, and I'd say they pulled back. You've 298 00:15:47,080 --> 00:15:49,440 Speaker 5: seen that across all energy transition things from many of 299 00:15:49,480 --> 00:15:53,120 Speaker 5: these oil majors. I'd say they still have activities, though 300 00:15:53,160 --> 00:15:57,000 Speaker 5: Total is doing a lot in the energy transition at large, 301 00:15:57,000 --> 00:15:59,880 Speaker 5: but also pretty pretty active, the same as BP and 302 00:16:00,320 --> 00:16:03,320 Speaker 5: and they're more focused on four courts. But they these 303 00:16:03,400 --> 00:16:07,200 Speaker 5: companies have quite a big set of offerings for people 304 00:16:07,240 --> 00:16:09,320 Speaker 5: in the fleet sector, so they want to keep that. 305 00:16:09,400 --> 00:16:13,680 Speaker 5: So you can don't fill up your company's vehicles with 306 00:16:13,760 --> 00:16:15,680 Speaker 5: petrol and diesel, what you can fill them up with 307 00:16:15,720 --> 00:16:18,880 Speaker 5: electricity as well. So they've been involved in the sector 308 00:16:18,920 --> 00:16:21,200 Speaker 5: pretty heavily, but it can be a little bit difficult. 309 00:16:21,280 --> 00:16:23,960 Speaker 5: Quite a lot of sites might be franchised across the network, 310 00:16:24,040 --> 00:16:26,440 Speaker 5: so how do you convert them? And then fundamentally there's 311 00:16:26,480 --> 00:16:28,920 Speaker 5: just quite a lot of competition. Before you could only 312 00:16:28,920 --> 00:16:30,920 Speaker 5: fill up your vehicle at a fuel station. Now you 313 00:16:30,960 --> 00:16:32,720 Speaker 5: can fill up your vehicle if you've got an electric 314 00:16:32,800 --> 00:16:34,920 Speaker 5: one at home, so that cuts the market. Then you've 315 00:16:34,920 --> 00:16:37,120 Speaker 5: got all of these like supermarkets and stuff coming in. 316 00:16:37,440 --> 00:16:39,760 Speaker 5: So in the US I think Walmart has rolled out 317 00:16:39,760 --> 00:16:43,080 Speaker 5: pretty heavily. A good example in the UK Sainsbury's, which 318 00:16:43,120 --> 00:16:46,080 Speaker 5: is a pretty big supermarket over here, and what they've 319 00:16:46,120 --> 00:16:48,480 Speaker 5: managed to do is say, okay, something like twenty five 320 00:16:48,520 --> 00:16:50,800 Speaker 5: percent of evs that turn up are now actually charging 321 00:16:50,840 --> 00:16:54,200 Speaker 5: on the sainsbury sites, and they offer pretty cheap charging 322 00:16:54,280 --> 00:16:56,840 Speaker 5: so these oil and gas majors have got a lot 323 00:16:56,880 --> 00:17:00,320 Speaker 5: of competition, and the competition, like the supermarket, is offering 324 00:17:00,360 --> 00:17:03,200 Speaker 5: quite cheap charging as well. It's a big, big threat, 325 00:17:03,200 --> 00:17:04,520 Speaker 5: I would say for some of those, even if they 326 00:17:04,520 --> 00:17:05,320 Speaker 5: are still involved. 327 00:17:06,080 --> 00:17:10,760 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 328 00:17:10,960 --> 00:17:14,440 Speaker 1: and anywhere else you get your podcasts. Listen live each 329 00:17:14,440 --> 00:17:18,200 Speaker 1: weekday ten am to noon Eastern on Bloomberg dot com, 330 00:17:18,320 --> 00:17:21,879 Speaker 1: the iHeartRadio app tune In, and the Bloomberg Business app. 331 00:17:22,280 --> 00:17:25,240 Speaker 1: You can also watch us live every weekday on YouTube 332 00:17:25,600 --> 00:17:27,840 Speaker 1: and always on the Bloomberg terminal