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 --> 00:00:17,840 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 --> 00:00:23,480 Speaker 1: or watch us live on YouTube. 6 00:00:24,040 --> 00:00:26,040 Speaker 2: It is Tuesday, but there's still a lot of mmah 7 00:00:26,040 --> 00:00:29,200 Speaker 2: to talk about Tuesday. Yeah, murder Tuesday. Although this one's 8 00:00:29,200 --> 00:00:31,760 Speaker 2: been like in the works for so long. Now Warner 9 00:00:31,800 --> 00:00:35,800 Speaker 2: Brothers Paramount Netflix looks like Warner Brothers is now open 10 00:00:35,960 --> 00:00:38,440 Speaker 2: to a paramount bid, a little bit more open than 11 00:00:38,440 --> 00:00:42,320 Speaker 2: it was before. It is reopening talks with Paramount as 12 00:00:42,320 --> 00:00:44,960 Speaker 2: Paramount signals a higher bid, but has not actually raised. 13 00:00:45,080 --> 00:00:47,239 Speaker 3: I'm glad you've been You reported it correctly because they 14 00:00:47,240 --> 00:00:48,879 Speaker 3: haven't raised their summit yet. 15 00:00:49,040 --> 00:00:51,159 Speaker 2: They said, you know, we could, so I guess that's 16 00:00:51,159 --> 00:00:53,680 Speaker 2: good enough for them to reopen discussion. Stephen Flynn is 17 00:00:53,680 --> 00:00:57,000 Speaker 2: our senior credit end list on this developing story. So Stephen, 18 00:00:57,000 --> 00:00:58,440 Speaker 2: how are you looking at this development? 19 00:00:58,760 --> 00:00:58,960 Speaker 4: Yeah? 20 00:00:59,040 --> 00:01:01,880 Speaker 5: So you think a couple of weeks ago, on February tenth, 21 00:01:01,920 --> 00:01:04,760 Speaker 5: Paramount actually came out. They reiterated a thirty dollars per 22 00:01:04,800 --> 00:01:08,120 Speaker 5: share cash offer for the entire Warner Brothers Discovery, but 23 00:01:08,200 --> 00:01:10,600 Speaker 5: they did add in a few other things. Number One, 24 00:01:10,640 --> 00:01:12,399 Speaker 5: they said that they would pay the two point eight 25 00:01:12,440 --> 00:01:16,200 Speaker 5: billion dollar termination fee that Warner Brothers would owe Netflix 26 00:01:16,200 --> 00:01:19,280 Speaker 5: for breaking that deal. They'd said that they would help 27 00:01:19,360 --> 00:01:23,760 Speaker 5: with the fifteen billion dollars of bridge loan that Warner 28 00:01:23,760 --> 00:01:26,400 Speaker 5: Brothers has outstanding from a bond tendor. 29 00:01:26,680 --> 00:01:28,920 Speaker 4: Deal that they did mid last year. 30 00:01:29,360 --> 00:01:32,600 Speaker 5: They'd also fully reimburse Warner Brother's Discovery for a potential 31 00:01:32,640 --> 00:01:36,000 Speaker 5: one point five billion dollar fee that Warner Brothers could 32 00:01:36,080 --> 00:01:38,520 Speaker 5: owe certain bond holders if they do not do a 33 00:01:38,600 --> 00:01:41,520 Speaker 5: debt exchange by the end of this year. So this 34 00:01:41,600 --> 00:01:44,119 Speaker 5: is a complicated story that keeps getting more and more 35 00:01:44,200 --> 00:01:46,440 Speaker 5: layers of complexity on top of it. 36 00:01:46,959 --> 00:01:50,800 Speaker 3: Remind us, Steve, if Paramount were to win this deal 37 00:01:50,840 --> 00:01:54,400 Speaker 3: for Warner brother this would be a very highly indebted company. 38 00:01:54,800 --> 00:01:55,760 Speaker 6: You guys don't like that. 39 00:01:56,120 --> 00:01:59,160 Speaker 5: Correct, Yes, So, Warner Brothers Discovery would have about eighty 40 00:01:59,200 --> 00:02:02,680 Speaker 5: five billion dollars of total debt pro form for this deal, 41 00:02:03,240 --> 00:02:05,360 Speaker 5: a combination of Paramount and Warner Brothers. Right, So, Warner 42 00:02:05,360 --> 00:02:08,079 Speaker 5: Brothers has about thirty one billion dollars a debt Paramount 43 00:02:08,080 --> 00:02:11,000 Speaker 5: has about fifteen. This deal would add about thirty nine, 44 00:02:11,040 --> 00:02:13,400 Speaker 5: so you're talking about eighty five billion. If you just 45 00:02:13,440 --> 00:02:16,240 Speaker 5: look at the combined EBITDAT for both Warner Brothers and 46 00:02:16,600 --> 00:02:21,680 Speaker 5: Paramount for twenty twenty six combined, they're about twelve billion dollars, 47 00:02:22,040 --> 00:02:25,160 Speaker 5: you know, just just space math, you're talking seven times levers. 48 00:02:25,200 --> 00:02:26,400 Speaker 4: That's obviously huge. 49 00:02:26,600 --> 00:02:31,320 Speaker 5: But Warner Brothers Paramount expect about six billion dollars of 50 00:02:31,480 --> 00:02:34,239 Speaker 5: cost synergies. So if you give them credit for that, 51 00:02:34,240 --> 00:02:36,040 Speaker 5: that turns it gives you about eighteen billion dollars. 52 00:02:36,160 --> 00:02:38,600 Speaker 4: VIPA DOT still get you credit well over four times 53 00:02:38,760 --> 00:02:39,480 Speaker 4: synergy credit. 54 00:02:39,520 --> 00:02:40,520 Speaker 6: You guys are pretty stinchy. 55 00:02:40,600 --> 00:02:43,480 Speaker 5: Well, yeah, we can give it, but we give you 56 00:02:43,520 --> 00:02:45,400 Speaker 5: a certain amount of time to actually show it. 57 00:02:45,480 --> 00:02:45,679 Speaker 4: Right. 58 00:02:45,760 --> 00:02:48,000 Speaker 5: So, and this is really important because what will the 59 00:02:48,080 --> 00:02:51,240 Speaker 5: rating agencies do and for the fifty four billion dollars 60 00:02:51,280 --> 00:02:54,079 Speaker 5: of debt financing that they have in place to support 61 00:02:54,120 --> 00:02:57,040 Speaker 5: this deal, to what extent will it be ahead of 62 00:02:57,080 --> 00:03:01,200 Speaker 5: the other debt through either guarantees and or security. So 63 00:03:01,240 --> 00:03:03,640 Speaker 5: if you could argue that it is ahead of all 64 00:03:03,680 --> 00:03:06,799 Speaker 5: the other debt and you give them pro former credit 65 00:03:06,800 --> 00:03:10,280 Speaker 5: for the synergies, you're talking about three times leverage through 66 00:03:10,320 --> 00:03:13,600 Speaker 5: that fifty four billion dollars, which could potentially get you 67 00:03:13,720 --> 00:03:16,080 Speaker 5: IG credit ratings. Right, So if we look at Charter 68 00:03:16,160 --> 00:03:19,200 Speaker 5: as a comparable, So Charter for many years had a 69 00:03:19,240 --> 00:03:21,239 Speaker 5: total net leverage target of four to four and a 70 00:03:21,280 --> 00:03:22,480 Speaker 5: half times, but they had. 71 00:03:22,360 --> 00:03:23,920 Speaker 4: A split capital structure. 72 00:03:23,960 --> 00:03:27,720 Speaker 5: The secure bond debt was IG, the unsecured debt was 73 00:03:27,800 --> 00:03:30,079 Speaker 5: high yield, and the secure debt they kept that a 74 00:03:30,160 --> 00:03:32,560 Speaker 5: little bit over three times. And so if you use 75 00:03:32,639 --> 00:03:35,640 Speaker 5: that as a comp and give them credit for the synergies, 76 00:03:35,960 --> 00:03:37,920 Speaker 5: you know, you could say that. 77 00:03:38,160 --> 00:03:40,200 Speaker 4: There's a lot of ifs there. Yes, there is, there's 78 00:03:40,200 --> 00:03:40,960 Speaker 4: a lot of ifs there. 79 00:03:41,040 --> 00:03:42,680 Speaker 6: That Starter's cash a little better and I like that. 80 00:03:42,840 --> 00:03:46,280 Speaker 5: Yeah, but you know, pro form powermount Warner Brothers should 81 00:03:46,280 --> 00:03:48,240 Speaker 5: generate a lot of free cash flow, and they, you know, 82 00:03:48,240 --> 00:03:48,760 Speaker 5: they should. 83 00:03:48,760 --> 00:03:50,680 Speaker 4: I assume they will commit to use all that to 84 00:03:50,840 --> 00:03:51,680 Speaker 4: reduce the debt. 85 00:03:51,920 --> 00:03:55,000 Speaker 5: And typically grating agencies will give the company a few 86 00:03:55,080 --> 00:03:57,680 Speaker 5: years to kind of hit their targets and show the delaveraging. 87 00:03:57,840 --> 00:04:01,000 Speaker 2: So Warner Brothers when it merged with Discovery also took 88 00:04:01,040 --> 00:04:03,360 Speaker 2: on a lot of debt. How does this potential Warner 89 00:04:03,400 --> 00:04:07,920 Speaker 2: Brothers and paramount debt profile look compared to what Warner 90 00:04:07,920 --> 00:04:09,080 Speaker 2: Brothers look like after emerging. 91 00:04:09,200 --> 00:04:11,360 Speaker 5: You know, it's total in thinking about the leverage, it's 92 00:04:11,440 --> 00:04:12,280 Speaker 5: not too different. 93 00:04:12,320 --> 00:04:14,320 Speaker 4: But let's hope that this works better, right, So, because 94 00:04:15,680 --> 00:04:16,720 Speaker 4: it didn't. 95 00:04:16,560 --> 00:04:20,320 Speaker 2: Work so well and Zoslov was kind of just preoccupied 96 00:04:20,360 --> 00:04:23,000 Speaker 2: with bringing down the debt for years. 97 00:04:23,040 --> 00:04:27,520 Speaker 5: Correct, correct, So when they emerged Discovery with Warner Brothers, 98 00:04:27,560 --> 00:04:30,599 Speaker 5: they purchased it from AT and T effectively and it 99 00:04:30,640 --> 00:04:33,160 Speaker 5: had a high leverage and they promised to d lever 100 00:04:33,520 --> 00:04:36,000 Speaker 5: and it did not deliver as quickly as anticipated. So 101 00:04:36,040 --> 00:04:38,080 Speaker 5: then that's when last summer you had the whole announcement 102 00:04:38,120 --> 00:04:40,799 Speaker 5: of the split and they decided to launch a tenor 103 00:04:40,839 --> 00:04:42,640 Speaker 5: off or where they got some new financing in place 104 00:04:42,640 --> 00:04:45,120 Speaker 5: and told the existing bond holders will buy the bonds 105 00:04:45,160 --> 00:04:47,599 Speaker 5: back from you. But you know, you're taking some pretty 106 00:04:47,600 --> 00:04:49,680 Speaker 5: big haircuts to the mount that you're owed, and they 107 00:04:49,680 --> 00:04:51,120 Speaker 5: still had very good participation. 108 00:04:52,279 --> 00:04:52,920 Speaker 4: Stay with us. 109 00:04:53,080 --> 00:04:55,440 Speaker 6: More from Bloomberg Intelligence coming up after this. 110 00:04:59,279 --> 00:05:02,960 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 111 00:05:03,040 --> 00:05:06,159 Speaker 1: weekdays at ten am Eastern on Apple, Coarclay, and Android 112 00:05:06,160 --> 00:05:09,479 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 113 00:05:09,520 --> 00:05:12,640 Speaker 1: you get your podcasts or watch us live on YouTube. 114 00:05:13,240 --> 00:05:17,360 Speaker 3: Anthropics PPC talks about extending and contract with the Pentagon 115 00:05:17,400 --> 00:05:20,240 Speaker 3: are being held up over additional protections to the artificial 116 00:05:20,240 --> 00:05:23,520 Speaker 3: intelligence company wants to put on its clawed tool. 117 00:05:24,520 --> 00:05:25,920 Speaker 6: Absolutely no idea what that means. 118 00:05:26,000 --> 00:05:29,040 Speaker 3: Mandeep Seeing does mandep Seeing, Global Tech research head for 119 00:05:29,080 --> 00:05:32,080 Speaker 3: Bloomberg Intelligence, what's going on with our friends at Anthropic 120 00:05:32,120 --> 00:05:33,479 Speaker 3: because I know they do a lot of work with 121 00:05:33,640 --> 00:05:34,479 Speaker 3: the US government. 122 00:05:34,880 --> 00:05:38,120 Speaker 7: Yeah, and look, I think Palenteer is the company that 123 00:05:38,240 --> 00:05:41,279 Speaker 7: really made a name for themselves in the kind of 124 00:05:41,320 --> 00:05:44,440 Speaker 7: work that all these LLM companies are being tasked to 125 00:05:44,480 --> 00:05:50,040 Speaker 7: do for the Department of War. And look, it's going 126 00:05:50,120 --> 00:05:53,799 Speaker 7: beyond analytics now. So what Palenteer did was you could 127 00:05:54,080 --> 00:05:59,480 Speaker 7: look at unstructured data like the GPS coordinates tie intelligence 128 00:06:00,080 --> 00:06:04,000 Speaker 7: in terms of you know, finding about some source or 129 00:06:04,040 --> 00:06:08,080 Speaker 7: some entity, and that was heavily used in a variety 130 00:06:08,120 --> 00:06:11,360 Speaker 7: of use cases. Now, I think these llms are trained 131 00:06:11,400 --> 00:06:16,800 Speaker 7: on we know, fifteen trillion tokens and they can ingest 132 00:06:16,960 --> 00:06:20,520 Speaker 7: large amounts of data and do analytics at a level. 133 00:06:20,320 --> 00:06:21,960 Speaker 4: That you know, we have not seen. 134 00:06:22,080 --> 00:06:26,120 Speaker 7: So in this case, the company Inthropic has talked about 135 00:06:26,160 --> 00:06:30,560 Speaker 7: their AI constitution or in other words, putting guardrails around 136 00:06:30,560 --> 00:06:33,680 Speaker 7: the kind of surveillance activities they want the llms to do. 137 00:06:34,400 --> 00:06:38,880 Speaker 7: And obviously from a government perspective, they want to do 138 00:06:39,000 --> 00:06:42,479 Speaker 7: whatever it takes from a national security perspective. So I 139 00:06:42,480 --> 00:06:46,919 Speaker 7: think that's where there is a discussion going around the 140 00:06:47,000 --> 00:06:50,120 Speaker 7: kind of guardrails that they want to see and the 141 00:06:50,240 --> 00:06:53,080 Speaker 7: level of I guess work that the government wants them 142 00:06:53,080 --> 00:06:53,279 Speaker 7: to do. 143 00:06:53,600 --> 00:06:55,880 Speaker 2: Okay, So the Department of Defense or a Department of 144 00:06:55,880 --> 00:06:59,680 Speaker 2: War as it's now known, this relationship with Anthropic, it's 145 00:06:59,680 --> 00:07:03,440 Speaker 2: not limited to just using anthropics models, is it, Because 146 00:07:03,480 --> 00:07:04,960 Speaker 2: it wants to make sure that it's got kind of 147 00:07:05,000 --> 00:07:08,880 Speaker 2: a wide source of AI large language models to draw from. 148 00:07:09,120 --> 00:07:11,840 Speaker 2: So what is that relationship like with I don't know, chat, 149 00:07:11,840 --> 00:07:13,960 Speaker 2: GPT or Gemini or even Grock. 150 00:07:14,120 --> 00:07:17,800 Speaker 7: Yeah, all of these companies have a contract with the 151 00:07:17,880 --> 00:07:22,119 Speaker 7: Department of War and like for example XAI is Grock 152 00:07:22,800 --> 00:07:25,920 Speaker 7: has a two hundred million dollar contract. So you know, 153 00:07:26,360 --> 00:07:30,480 Speaker 7: the department is using all the possible tools that are available, 154 00:07:30,640 --> 00:07:33,760 Speaker 7: and from that perspective, Enthropic is one of them, but 155 00:07:34,080 --> 00:07:37,200 Speaker 7: no one else like chatchipt hasn't talked about you know, 156 00:07:37,600 --> 00:07:40,840 Speaker 7: guardrails in such a big way as Entthropic has, So 157 00:07:40,920 --> 00:07:44,280 Speaker 7: that's the big distinction. And obviously SpaceX is a defense 158 00:07:44,320 --> 00:07:49,640 Speaker 7: contractor for the Department, and now with Xai merger, I 159 00:07:49,720 --> 00:07:52,320 Speaker 7: think they can do more work around the drone side. 160 00:07:52,360 --> 00:07:56,160 Speaker 7: So at the end of the day, I think you 161 00:07:56,240 --> 00:07:59,360 Speaker 7: have to think of it from a geopolitical standpoint. What 162 00:07:59,480 --> 00:08:03,240 Speaker 7: China is doing, you know, with that infrastructure and similar concepts, 163 00:08:03,720 --> 00:08:07,000 Speaker 7: and what I think the US defense is looking to 164 00:08:07,040 --> 00:08:10,200 Speaker 7: do in terms of surveillance and national security interests. And 165 00:08:10,600 --> 00:08:13,679 Speaker 7: these llms will play a pivotal role because, as I said, 166 00:08:13,920 --> 00:08:16,400 Speaker 7: they can help you find that needle in the haystack 167 00:08:16,880 --> 00:08:19,720 Speaker 7: that the current technology wasn't able to do. 168 00:08:20,240 --> 00:08:21,840 Speaker 6: Who Isntropic? Who are these people? 169 00:08:22,440 --> 00:08:25,320 Speaker 7: Well, they just raised thirty billion dollars in their latest 170 00:08:25,320 --> 00:08:30,560 Speaker 7: funding round sound fundraiser, and they'll most likely go public 171 00:08:30,600 --> 00:08:33,520 Speaker 7: this year. There is a very high likelihood of both 172 00:08:33,559 --> 00:08:37,800 Speaker 7: and Tropic and open Ai going public. And that's why 173 00:08:37,840 --> 00:08:40,520 Speaker 7: you know they're out there in terms of establishing the 174 00:08:40,679 --> 00:08:43,840 Speaker 7: use cases and the utility is not just a coding agent. 175 00:08:44,480 --> 00:08:47,239 Speaker 7: They want to show you know that they are addressing 176 00:08:47,280 --> 00:08:50,480 Speaker 7: a lot more areas in terms of you know, where 177 00:08:50,520 --> 00:08:53,079 Speaker 7: these models are touching and the companies that they are 178 00:08:53,320 --> 00:08:55,960 Speaker 7: interfacing with, So there is a very high chance that 179 00:08:56,040 --> 00:08:57,200 Speaker 7: we'll see IPOs. 180 00:08:58,040 --> 00:08:58,720 Speaker 4: Stay with us. 181 00:08:58,840 --> 00:09:01,199 Speaker 6: More from Bloomberg Intelligence coming up after this. 182 00:09:05,080 --> 00:09:08,800 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 183 00:09:08,880 --> 00:09:11,920 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 184 00:09:11,960 --> 00:09:15,280 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 185 00:09:15,320 --> 00:09:18,440 Speaker 1: you get your podcasts, or watch us live on YouTube. 186 00:09:19,160 --> 00:09:21,679 Speaker 3: I' let's switch gears to the healthcare space, and to 187 00:09:21,800 --> 00:09:24,040 Speaker 3: do that on a Tuesday morning, we check in with 188 00:09:24,040 --> 00:09:26,439 Speaker 3: Sam Fazelli, director of Research for Global Industries and a 189 00:09:26,559 --> 00:09:28,959 Speaker 3: senior pharmaceuticals analyst for Bloomberg Intelligence. 190 00:09:29,160 --> 00:09:30,760 Speaker 6: He's based over there in London. 191 00:09:31,120 --> 00:09:34,440 Speaker 3: So Sam, I see that Moderna and Merk they're working 192 00:09:34,480 --> 00:09:36,800 Speaker 3: together on a melanoma drug. 193 00:09:36,840 --> 00:09:39,040 Speaker 6: Here, cancer drug. What's the status there? 194 00:09:40,600 --> 00:09:44,040 Speaker 8: Yeah, so Paul, thanks for having me back on. Look, 195 00:09:44,080 --> 00:09:46,120 Speaker 8: they have a trial coming up which is a very 196 00:09:46,120 --> 00:09:49,959 Speaker 8: innovative approach to trying to treat cancer. I e. I'm 197 00:09:50,000 --> 00:09:53,959 Speaker 8: going to take miss a drug that releases your immune 198 00:09:53,960 --> 00:09:55,560 Speaker 8: system and at the same time I'm going to give 199 00:09:55,600 --> 00:09:58,600 Speaker 8: it stuff from your tumors so that you can recognize 200 00:09:58,600 --> 00:10:01,839 Speaker 8: the tumors. So you got vaccine, that's what a vaccine is, right, 201 00:10:02,360 --> 00:10:05,880 Speaker 8: and the immunotherapy drug y true that everybody's used to. 202 00:10:05,920 --> 00:10:08,760 Speaker 8: And they've had some really strong Phase two data that's 203 00:10:08,760 --> 00:10:10,559 Speaker 8: come out. So what we've done here is that we've 204 00:10:10,559 --> 00:10:12,320 Speaker 8: gone and have a look. That's one of the key 205 00:10:12,360 --> 00:10:15,320 Speaker 8: catalysts for twenty twenty six and everyone's waiting for this 206 00:10:15,400 --> 00:10:18,240 Speaker 8: trial to read that as to what are the chances 207 00:10:18,280 --> 00:10:20,560 Speaker 8: of what are the issues that this trial might face? 208 00:10:20,600 --> 00:10:23,120 Speaker 8: You know, that's our job, right We look for problems, 209 00:10:23,240 --> 00:10:26,480 Speaker 8: look for trying to measure up if there's any risk here, 210 00:10:26,520 --> 00:10:30,439 Speaker 8: and we've identified three. One is that the phase two 211 00:10:30,520 --> 00:10:33,760 Speaker 8: data wasn't as easy to interpret because the control army 212 00:10:33,800 --> 00:10:37,320 Speaker 8: in it. That initial data that looked great didn't behave 213 00:10:37,360 --> 00:10:40,760 Speaker 8: as we thought it should have done. The second issue 214 00:10:40,840 --> 00:10:44,000 Speaker 8: is that in the Phase three they're unrolling some healthier patients. 215 00:10:44,080 --> 00:10:46,120 Speaker 8: What is that going to? Can you therefore use the 216 00:10:46,160 --> 00:10:50,160 Speaker 8: phase two to bridge your thoughts to the phase three? 217 00:10:50,440 --> 00:10:53,600 Speaker 8: And on top of that, here's an interesting part. Who 218 00:10:53,640 --> 00:10:58,040 Speaker 8: makes COVID shots well, Fizer, BioNTech, and Moderna. Another study 219 00:10:58,080 --> 00:11:01,200 Speaker 8: showed that if you use COVID shots within one hundred days, 220 00:11:01,760 --> 00:11:05,600 Speaker 8: of one of these immadiotherapy drives in cancer patients, they 221 00:11:05,640 --> 00:11:09,360 Speaker 8: survive longer, they have better survival rates. What if that 222 00:11:09,520 --> 00:11:14,319 Speaker 8: happened in the MODERNA trial the control arm has COVID 223 00:11:14,320 --> 00:11:16,720 Speaker 8: shots in it, and that lifts up the survival if 224 00:11:16,800 --> 00:11:19,400 Speaker 8: that data was correct. So all these things makes us 225 00:11:19,400 --> 00:11:21,320 Speaker 8: a little bit worried about this data coming. And of 226 00:11:21,360 --> 00:11:23,840 Speaker 8: course WADERNA has other issues to deal with, which I'm 227 00:11:23,840 --> 00:11:25,240 Speaker 8: sure you're going to come up to, which is that 228 00:11:25,640 --> 00:11:29,680 Speaker 8: i FDA rejection to accepting their file for the flu vaccine, 229 00:11:29,720 --> 00:11:31,960 Speaker 8: which is blew my mind. 230 00:11:32,000 --> 00:11:32,439 Speaker 3: I have to. 231 00:11:32,360 --> 00:11:36,679 Speaker 2: Say, well, this administration doesn't like vaccines period. So and 232 00:11:36,720 --> 00:11:39,319 Speaker 2: it's been a brutal flu season, right Sam, I mean 233 00:11:39,360 --> 00:11:42,000 Speaker 2: it's nothing kind. I mean I think something like twenty 234 00:11:42,000 --> 00:11:44,040 Speaker 2: two million Americans have fallen ill to the flu. 235 00:11:44,920 --> 00:11:46,920 Speaker 8: Yeah, they have, and to be just called it. The 236 00:11:47,000 --> 00:11:50,920 Speaker 8: issue is now they're deciding what flu vaccine to give 237 00:11:50,960 --> 00:11:53,800 Speaker 8: us in the US and Europe in a couple of 238 00:11:53,840 --> 00:11:57,720 Speaker 8: months of bicht in nine months time, as nonsense. This 239 00:11:57,880 --> 00:11:59,840 Speaker 8: is the flu. These are viruses. They change all the time. 240 00:12:00,160 --> 00:12:00,680 Speaker 2: We've learned that. 241 00:12:00,840 --> 00:12:04,040 Speaker 8: Right, here's a technology that could have potentially enabled you 242 00:12:04,440 --> 00:12:07,959 Speaker 8: M R and A vaccines to react much quicker, nearer 243 00:12:08,080 --> 00:12:10,920 Speaker 8: the time, when you know what training need to target. 244 00:12:11,840 --> 00:12:14,679 Speaker 8: This could have been the approval that the world needs. 245 00:12:14,720 --> 00:12:16,720 Speaker 8: I mean, in this world we need to be able 246 00:12:16,760 --> 00:12:19,240 Speaker 8: to deal with these infectious is that we've learned our lessons, 247 00:12:19,280 --> 00:12:22,880 Speaker 8: haven't we. Unfortunately, the person at the head of the 248 00:12:24,440 --> 00:12:28,600 Speaker 8: division of the of the FDA called Sieber, made a 249 00:12:28,640 --> 00:12:32,640 Speaker 8: decision unilaterally by the look of it, based on what 250 00:12:32,720 --> 00:12:37,080 Speaker 8: people have reported, that he doesn't want to review this 251 00:12:37,160 --> 00:12:41,440 Speaker 8: file having they Mona had all the right things in place, 252 00:12:41,760 --> 00:12:46,240 Speaker 8: they had discussed with the FDA, they had the allowance 253 00:12:46,280 --> 00:12:48,160 Speaker 8: to go ahead, They did the trial that's in line 254 00:12:48,200 --> 00:12:50,960 Speaker 8: with other people's trials. It just doesn't make any sense. 255 00:12:50,960 --> 00:12:53,960 Speaker 8: And I tell you what that really worries me about 256 00:12:54,160 --> 00:12:56,920 Speaker 8: any company interacting with the FDA. How can you know 257 00:12:57,600 --> 00:12:59,840 Speaker 8: that you're not going to get a next week or 258 00:13:00,000 --> 00:13:02,400 Speaker 8: six months, or ten months or twelve months down the road, 259 00:13:02,720 --> 00:13:05,160 Speaker 8: a random rejection despite the discussions you've had. 260 00:13:06,080 --> 00:13:11,680 Speaker 3: So how are these big healthcare companies, pharmaceutical companies, biotech companies, 261 00:13:12,280 --> 00:13:14,320 Speaker 3: how are they dealing with the FDA? Because it seems 262 00:13:14,320 --> 00:13:16,840 Speaker 3: to be a very difficult relationship at the moment. 263 00:13:18,240 --> 00:13:20,600 Speaker 8: Paul only a week before we were talking about the 264 00:13:20,679 --> 00:13:22,760 Speaker 8: FDA showing its teeth when he came out and said, 265 00:13:22,960 --> 00:13:25,520 Speaker 8: HYMN says to stop selling copycat drugs, which it had 266 00:13:25,600 --> 00:13:28,560 Speaker 8: no right to sell. And now we have this this 267 00:13:28,840 --> 00:13:32,679 Speaker 8: uncertainty is a problem, and they're all trying to manage it. 268 00:13:33,040 --> 00:13:35,679 Speaker 8: The larger companies can manage it because they have teams 269 00:13:35,720 --> 00:13:39,880 Speaker 8: of people, et cetera. But it's the biotechs that suffer 270 00:13:39,960 --> 00:13:43,360 Speaker 8: because they have limited amounts of cash on a relative basis, 271 00:13:43,559 --> 00:13:45,600 Speaker 8: and we've had several of these things that have hit 272 00:13:45,640 --> 00:13:50,160 Speaker 8: the block with regards to irregulatory pushback, which you didn't 273 00:13:50,200 --> 00:13:52,439 Speaker 8: expect to have. So it is a problem for the 274 00:13:52,480 --> 00:13:54,720 Speaker 8: biotech sector're more than the pharmacy. 275 00:13:55,559 --> 00:13:56,160 Speaker 4: Stay with us. 276 00:13:56,360 --> 00:13:57,960 Speaker 6: More from Bloomberg Intelligence coming up. 277 00:14:01,720 --> 00:14:05,400 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 278 00:14:05,480 --> 00:14:08,880 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 279 00:14:08,960 --> 00:14:12,040 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 280 00:14:12,080 --> 00:14:15,080 Speaker 1: get your podcasts, or watch us live on YouTube. 281 00:14:16,080 --> 00:14:18,440 Speaker 3: Let's switch gears here talk about the real estate business 282 00:14:18,480 --> 00:14:19,720 Speaker 3: here in the United States. We can do that with 283 00:14:19,760 --> 00:14:23,760 Speaker 3: Jeff Langboun. He's to read analyst for the US Is 284 00:14:23,800 --> 00:14:24,880 Speaker 3: it all just data. 285 00:14:24,680 --> 00:14:25,760 Speaker 6: Centers today, Jeff? 286 00:14:25,840 --> 00:14:27,120 Speaker 3: Is that all people want to talk to you about 287 00:14:27,160 --> 00:14:30,800 Speaker 3: because it seems like that's the AI play in real estate. 288 00:14:31,480 --> 00:14:34,280 Speaker 9: Well, that's that's one way to play AI from a 289 00:14:34,320 --> 00:14:37,240 Speaker 9: positive perspective, okay, But right now what people are thinking 290 00:14:37,240 --> 00:14:39,160 Speaker 9: about is what the impact is going to be on 291 00:14:39,560 --> 00:14:43,200 Speaker 9: office space If AI makes all of these industries that 292 00:14:43,760 --> 00:14:47,120 Speaker 9: lease office space irrelevant, Okay, what does that mean for 293 00:14:47,200 --> 00:14:51,840 Speaker 9: demand for space? And you know, we saw last week 294 00:14:52,520 --> 00:14:54,640 Speaker 9: that you know, that started with software and then it 295 00:14:54,680 --> 00:14:57,840 Speaker 9: went to you know, industry after industry and ended up 296 00:14:57,880 --> 00:14:59,880 Speaker 9: with the real estate brokers and eventually the office roads 297 00:15:00,400 --> 00:15:01,160 Speaker 9: getting hit hard. 298 00:15:01,640 --> 00:15:03,640 Speaker 2: So so far, this is just kind of fear that's 299 00:15:03,680 --> 00:15:06,760 Speaker 2: wafting across the market. Have we actually seen any evidence 300 00:15:06,880 --> 00:15:07,600 Speaker 2: of this happening. 301 00:15:07,720 --> 00:15:10,040 Speaker 9: Not yet, And in fact, we've seen some of the opposite. 302 00:15:11,000 --> 00:15:16,040 Speaker 9: Leasing velocity has been at the highest level since before 303 00:15:16,080 --> 00:15:18,640 Speaker 9: the pandemic in markets like New York and San Francisco. 304 00:15:19,360 --> 00:15:22,960 Speaker 9: The reats that we follow, names like sl Green Bornado, 305 00:15:23,040 --> 00:15:27,160 Speaker 9: Boston properties are now BXP. These guys are reporting very 306 00:15:27,160 --> 00:15:29,960 Speaker 9: strong leasing volumes. We're starting to see occupancies tick up 307 00:15:30,000 --> 00:15:33,560 Speaker 9: off the bottom in their portfolios, and you know, one 308 00:15:33,600 --> 00:15:35,640 Speaker 9: of the one of the dynamics at play is that 309 00:15:35,840 --> 00:15:40,240 Speaker 9: AI firms are leasing space as they grow, and to 310 00:15:40,280 --> 00:15:45,280 Speaker 9: the extent that companies being impacted by AI start to 311 00:15:45,320 --> 00:15:47,560 Speaker 9: receive a little bit, there's an offset there. 312 00:15:48,240 --> 00:15:53,200 Speaker 3: So your office rate stocks last week sold off on 313 00:15:53,360 --> 00:15:53,840 Speaker 3: this fear. 314 00:15:54,480 --> 00:15:56,200 Speaker 9: Yeah, and it's not a new fear. I mean, it's 315 00:15:56,600 --> 00:16:00,320 Speaker 9: it's been at play for some time now. You know, 316 00:16:01,240 --> 00:16:04,840 Speaker 9: work from home kind of worked its way through and 317 00:16:04,960 --> 00:16:08,440 Speaker 9: everyone kind of got comfortable with where hybrid kind of 318 00:16:08,440 --> 00:16:10,960 Speaker 9: settled in, and then you know, what was the next 319 00:16:10,960 --> 00:16:12,880 Speaker 9: thing to hit office? And it was this And it's 320 00:16:12,880 --> 00:16:15,280 Speaker 9: been you know, it's been out there for probably a 321 00:16:15,280 --> 00:16:17,560 Speaker 9: couple of quarters. Now, what is the impact going to be? 322 00:16:18,000 --> 00:16:22,040 Speaker 9: But last week when when software rolled over, it's just compounded. 323 00:16:23,840 --> 00:16:27,400 Speaker 2: Is this something where because of the evidence that companies 324 00:16:27,440 --> 00:16:29,320 Speaker 2: are still leased in quite a bit of space, that 325 00:16:29,320 --> 00:16:32,360 Speaker 2: we're going to see a just as sharp recovery. 326 00:16:33,440 --> 00:16:38,480 Speaker 9: Well, that's possible, but you know, there's also the risk 327 00:16:38,600 --> 00:16:43,360 Speaker 9: that you know, the equity markets are turbulent and forecasting right, 328 00:16:43,440 --> 00:16:45,840 Speaker 9: and so there is the possibility that there will be 329 00:16:46,640 --> 00:16:50,200 Speaker 9: negative leasing news to come. It's certainly not showing up 330 00:16:50,200 --> 00:16:53,000 Speaker 9: in the numbers now. And we do think and this 331 00:16:53,120 --> 00:16:55,240 Speaker 9: is backed up by some survey work that we just 332 00:16:55,280 --> 00:16:57,840 Speaker 9: did last week of office workers in both New York 333 00:16:57,840 --> 00:17:00,440 Speaker 9: and San Francisco. We actually think that they're there's still 334 00:17:00,560 --> 00:17:03,960 Speaker 9: a period of time to come where firms are actually 335 00:17:04,080 --> 00:17:08,560 Speaker 9: leasing more space, they're expanding their headcount to try and 336 00:17:08,560 --> 00:17:11,639 Speaker 9: figure out how to take advantage of AI and to 337 00:17:11,680 --> 00:17:16,399 Speaker 9: grow their business. And that could actually, you know, I 338 00:17:16,440 --> 00:17:19,480 Speaker 9: don't know about a sharp snapback, but it could you know, 339 00:17:19,560 --> 00:17:22,200 Speaker 9: prolong the positive vibes for some time. 340 00:17:22,280 --> 00:17:24,199 Speaker 6: What's the sector of the remarket that you like the 341 00:17:24,240 --> 00:17:24,920 Speaker 6: most right now? 342 00:17:25,280 --> 00:17:29,440 Speaker 9: Senior housing is I mean, you know, it's it's the 343 00:17:29,920 --> 00:17:36,000 Speaker 9: one aspect where you cannot refute the demand story at all. 344 00:17:36,400 --> 00:17:39,399 Speaker 9: And at the same time, where real estate guys typically 345 00:17:39,600 --> 00:17:42,720 Speaker 9: love to build what to take advantage of those demand stories. 346 00:17:42,960 --> 00:17:45,760 Speaker 9: There's not a there's not much senior housing coming out 347 00:17:45,760 --> 00:17:48,879 Speaker 9: of the ground, so there's a huge supply demand imbalance. 348 00:17:49,080 --> 00:17:51,640 Speaker 2: Okay, but is senior housing more attractive in certain markets 349 00:17:51,640 --> 00:17:53,800 Speaker 2: over other markets? How do you pick between winners and 350 00:17:53,800 --> 00:17:55,200 Speaker 2: losers when it comes to senior housing. 351 00:17:55,280 --> 00:17:58,720 Speaker 9: It's really more about the local operator than it is 352 00:17:58,760 --> 00:18:01,960 Speaker 9: about the specific market. I mean, obviously if you're in 353 00:18:02,000 --> 00:18:06,000 Speaker 9: a place where you know, the economics aren't as strong 354 00:18:06,040 --> 00:18:10,440 Speaker 9: and you don't have this affluent a potential resident base, 355 00:18:10,520 --> 00:18:13,120 Speaker 9: and that's going to you know, potentially impact but. 356 00:18:13,600 --> 00:18:16,560 Speaker 4: Local strong, local operators. 357 00:18:17,880 --> 00:18:19,680 Speaker 9: When there's not a lot of supply coming out of 358 00:18:19,720 --> 00:18:22,080 Speaker 9: the ground, and you know you basically just have an 359 00:18:22,240 --> 00:18:26,159 Speaker 9: aging American population that is going to need housing solutions. 360 00:18:26,520 --> 00:18:29,440 Speaker 9: It's really a play across the board thirty seconds. Why 361 00:18:29,480 --> 00:18:33,760 Speaker 9: isn't there the supply cost of capital is still a 362 00:18:33,800 --> 00:18:37,240 Speaker 9: little bit elevated, and it's tough to get It's tough 363 00:18:37,240 --> 00:18:40,760 Speaker 9: for developers to get capital and and underwrite new deals 364 00:18:40,760 --> 00:18:43,760 Speaker 9: to make sense. Really, man, you want to you want 365 00:18:43,800 --> 00:18:46,159 Speaker 9: to start putting capital to work. Yeah, I'm sure there 366 00:18:46,160 --> 00:18:48,919 Speaker 9: are developers who would who would take your money. 367 00:18:48,960 --> 00:18:53,679 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 368 00:18:53,840 --> 00:18:57,320 Speaker 1: and anywhere else you get your podcasts. Listen live each 369 00:18:57,359 --> 00:19:01,200 Speaker 1: weekday ten am to noon Eastern on Blue, Bomberg dot com, 370 00:19:01,240 --> 00:19:04,760 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business app. 371 00:19:05,200 --> 00:19:08,120 Speaker 1: You can also watch us live every weekday on YouTube 372 00:19:08,520 --> 00:19:10,760 Speaker 1: and always on the Bloomberg terminal