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 --> 00:00:24,400 Speaker 1: or watch us live on YouTube. 6 00:00:23,160 --> 00:00:27,200 Speaker 2: Through Netflix shares are down about twenty five percent since 7 00:00:27,240 --> 00:00:32,040 Speaker 2: they began pursuing Warner Brothers in October. So is Netflix 8 00:00:32,200 --> 00:00:33,600 Speaker 2: in a race against time here? 9 00:00:34,960 --> 00:00:37,000 Speaker 3: I think so, Scarlett. I mean, you know, there has 10 00:00:37,080 --> 00:00:40,320 Speaker 3: obviously been a lot of worries about that falling stock 11 00:00:40,400 --> 00:00:43,559 Speaker 3: price and investors kind of questioning, Okay, so really what 12 00:00:43,720 --> 00:00:46,279 Speaker 3: is the value right if that's an eighty five fifteen 13 00:00:46,760 --> 00:00:50,640 Speaker 3: split for Warner Studio and streaming assets. I mean, Warner 14 00:00:50,680 --> 00:00:54,760 Speaker 3: shareholders obviously worried about the falling value of you know, 15 00:00:54,800 --> 00:00:57,760 Speaker 3: the Netflix stock, and so obviously Netflix, you're really trying 16 00:00:57,760 --> 00:01:01,240 Speaker 3: to estivate those investors by making it an all cash offer. 17 00:01:01,560 --> 00:01:04,240 Speaker 3: But yes, they are, you know, very much running against 18 00:01:04,280 --> 00:01:08,280 Speaker 3: the clock. There is the January twenty first deadline from 19 00:01:08,440 --> 00:01:13,000 Speaker 3: a rival, Paramount Skidance for tendering shares at thirty dollars 20 00:01:13,040 --> 00:01:15,640 Speaker 3: for all of Warner Brothers, Discovery, so there are multiple 21 00:01:15,640 --> 00:01:19,440 Speaker 3: things going on here, but this definitely should spark some 22 00:01:19,520 --> 00:01:22,639 Speaker 3: sort of response we think from Paramount Gita. 23 00:01:22,680 --> 00:01:25,440 Speaker 4: It feels like we're getting one escalation after the other 24 00:01:25,600 --> 00:01:28,520 Speaker 4: in the bidding war. Do you think that proposing an 25 00:01:28,600 --> 00:01:32,319 Speaker 4: all cash offer could actually exped expedite the closing of 26 00:01:32,400 --> 00:01:34,880 Speaker 4: this deal by Netflix or do you expect that Paramount 27 00:01:34,920 --> 00:01:35,920 Speaker 4: will fight back again. 28 00:01:37,000 --> 00:01:39,840 Speaker 3: We definitely think that Paramount will fight back because for them, 29 00:01:39,920 --> 00:01:42,679 Speaker 3: the cost of not doing the deal is definitely greater 30 00:01:42,760 --> 00:01:45,119 Speaker 3: than it is for Netflix. Paramount is in a very 31 00:01:45,160 --> 00:01:49,520 Speaker 3: dire situation. They need these assets very, very badly. Not 32 00:01:49,680 --> 00:01:52,640 Speaker 3: the case for Netflix, which has a really strong, you know, 33 00:01:52,680 --> 00:01:55,920 Speaker 3: financial profile, has a really strong content library. This is 34 00:01:55,960 --> 00:01:58,160 Speaker 3: really more of a nice to have rather than a 35 00:01:58,280 --> 00:02:02,240 Speaker 3: must have. So expect expect something from Paramount Skydance. We 36 00:02:02,360 --> 00:02:04,280 Speaker 3: don't expect them to go away quietly. 37 00:02:04,960 --> 00:02:07,160 Speaker 2: We don't expect them to go away quietly. But there's 38 00:02:07,200 --> 00:02:10,960 Speaker 2: a real question mark here because Paramount Skidance's bid for 39 00:02:11,080 --> 00:02:14,600 Speaker 2: Warner Brothers Discovery assumes that the value of the legacy 40 00:02:14,800 --> 00:02:18,240 Speaker 2: cable channels is zero, and of course it's bid covers 41 00:02:18,240 --> 00:02:20,840 Speaker 2: the entire company, whereas Netflix is only looking for the 42 00:02:20,880 --> 00:02:24,440 Speaker 2: streaming and the studio business. Yet what does that say 43 00:02:24,440 --> 00:02:28,119 Speaker 2: about Paramount Skuydiance's own legacy cable business zero? I mean, 44 00:02:28,320 --> 00:02:30,840 Speaker 2: does that mean that its business is also worth something 45 00:02:30,919 --> 00:02:31,680 Speaker 2: similar to zero? 46 00:02:33,000 --> 00:02:35,280 Speaker 3: I mean, that's just such a brilliant point that you raise, 47 00:02:35,320 --> 00:02:38,600 Speaker 3: Scarlett absolutely. I mean, when they, you know, basically devalue 48 00:02:38,680 --> 00:02:41,400 Speaker 3: the Warner Brothers assets, they risk doing the same for 49 00:02:41,480 --> 00:02:43,840 Speaker 3: their own cable networks. But there is, you know, there's 50 00:02:43,880 --> 00:02:46,240 Speaker 3: absolutely no way to sugar coat the fact that the 51 00:02:46,280 --> 00:02:49,840 Speaker 3: cable network business is a declining business. What Paramount is 52 00:02:49,880 --> 00:02:52,720 Speaker 3: doing to its you know, kind of favoring its argument 53 00:02:52,840 --> 00:02:56,359 Speaker 3: is basically using the poor stock performance of Versut, which 54 00:02:56,440 --> 00:02:58,959 Speaker 3: is the cable network group from or the cable network 55 00:02:59,000 --> 00:03:01,880 Speaker 3: spin off from Comcast. Its poor performance is kind of 56 00:03:02,120 --> 00:03:05,640 Speaker 3: the reason their justification for why the Warner Brothers legacy 57 00:03:05,639 --> 00:03:08,280 Speaker 3: networks should not really be worth much. But I still think, 58 00:03:08,600 --> 00:03:11,640 Speaker 3: you know, obviously they're still Yes, there is cord cutting, 59 00:03:11,720 --> 00:03:14,600 Speaker 3: Yes advertising is under pressure, but they are still cashcows. 60 00:03:14,639 --> 00:03:16,399 Speaker 3: They still do throw out a good amount of cash. 61 00:03:16,440 --> 00:03:18,080 Speaker 3: And that is true both for Warner Brothers as well 62 00:03:18,080 --> 00:03:21,119 Speaker 3: as for Paramount. And obviously Paramount still sees a lot 63 00:03:21,160 --> 00:03:24,200 Speaker 3: of you know, rationale and kind of combining those two 64 00:03:24,240 --> 00:03:29,040 Speaker 3: portfolios Paramounts own cable networks along with warners to kind 65 00:03:29,040 --> 00:03:34,079 Speaker 3: of just stem that whole melting ice cube argument that said, yeah, 66 00:03:34,200 --> 00:03:37,080 Speaker 3: it's it's this, This is really turning out to be, 67 00:03:38,400 --> 00:03:40,640 Speaker 3: you know, very very interesting. I think Warner Brothers still 68 00:03:40,720 --> 00:03:42,720 Speaker 3: kind of sees a lot of value in its networks. 69 00:03:42,720 --> 00:03:46,280 Speaker 3: They do want, you know, that the separation. They think 70 00:03:46,320 --> 00:03:49,040 Speaker 3: they can extract a lot more value with the separation 71 00:03:49,080 --> 00:03:51,120 Speaker 3: of their global networks business, which is supposed to happen 72 00:03:51,160 --> 00:03:53,920 Speaker 3: by the third quarter of this year. So again it's 73 00:03:53,920 --> 00:03:56,320 Speaker 3: still a wait and watch, but I think at this point, Scarlett, 74 00:03:56,360 --> 00:03:58,600 Speaker 3: the ball is definitely in Paramounts court. 75 00:03:59,160 --> 00:04:01,560 Speaker 4: Githa not too long ago, Bank of America said that 76 00:04:01,640 --> 00:04:05,040 Speaker 4: this bidding war is reshaping the broader media industry. What 77 00:04:05,120 --> 00:04:08,800 Speaker 4: are the consequences of it for the broader media industry, 78 00:04:08,800 --> 00:04:11,160 Speaker 4: do you think, and what kind of precedent does it 79 00:04:11,240 --> 00:04:13,680 Speaker 4: set for future media company acquisitions? 80 00:04:14,600 --> 00:04:16,560 Speaker 3: Yeah, absolutely, Alex. I think one of the things one 81 00:04:16,560 --> 00:04:19,480 Speaker 3: of our key takeaways from this whole exercise is that, 82 00:04:19,640 --> 00:04:22,760 Speaker 3: you know, obviously, linear networks are in a really precarious position, 83 00:04:23,200 --> 00:04:26,039 Speaker 3: no doubt about that. But then the studio assets as 84 00:04:26,040 --> 00:04:28,960 Speaker 3: well as the streaming platforms, the content generation part of it, 85 00:04:29,320 --> 00:04:31,520 Speaker 3: there's still quite a lot of value in those. So 86 00:04:31,600 --> 00:04:33,480 Speaker 3: any of you know, the studios that you see out there, 87 00:04:33,480 --> 00:04:36,640 Speaker 3: whether it's Alliance Gate or you know, maybe even an 88 00:04:36,640 --> 00:04:39,480 Speaker 3: AMC Networks which has a television production studio, maybe all 89 00:04:39,520 --> 00:04:41,600 Speaker 3: of that still has some value. But I think really 90 00:04:41,640 --> 00:04:44,080 Speaker 3: the biggest question for us, and I think for media 91 00:04:44,120 --> 00:04:47,440 Speaker 3: investors at large, is what happens with Comcast and what 92 00:04:47,520 --> 00:04:51,600 Speaker 3: happens with its NBC media group that really is somewhat of, 93 00:04:51,680 --> 00:04:54,680 Speaker 3: you know, this hidden jewel. I would say they have 94 00:04:54,760 --> 00:04:56,960 Speaker 3: to extract value for that. They probably have to spin 95 00:04:57,040 --> 00:04:59,920 Speaker 3: off that asset. So I think everybody is really super 96 00:05:00,160 --> 00:05:02,080 Speaker 3: focused on what they do next. 97 00:05:02,279 --> 00:05:04,400 Speaker 2: Okay, so in terms of what happens next, we are 98 00:05:04,400 --> 00:05:06,800 Speaker 2: waiting to see if Netflix actually does revise the term 99 00:05:06,839 --> 00:05:09,720 Speaker 2: of its offer to something that's all cash. And then 100 00:05:09,839 --> 00:05:12,599 Speaker 2: on the paramount skidance side, you said the deadline is 101 00:05:12,600 --> 00:05:13,799 Speaker 2: coming up for the tender offer. 102 00:05:13,920 --> 00:05:14,839 Speaker 5: When is that exactly? 103 00:05:15,600 --> 00:05:16,600 Speaker 3: Jan twenty first? 104 00:05:16,960 --> 00:05:19,400 Speaker 2: Jan twenty first, So next Wednesday we'll get a sense 105 00:05:19,440 --> 00:05:21,919 Speaker 2: of whether shareholders are in favor of it, and what 106 00:05:22,000 --> 00:05:24,160 Speaker 2: do we think is the reception right now. 107 00:05:25,279 --> 00:05:28,840 Speaker 3: Very very poor. The last we heard, only about two 108 00:05:28,920 --> 00:05:33,000 Speaker 3: percent of outstanding shares had been tendered, so really a 109 00:05:33,080 --> 00:05:35,919 Speaker 3: shareholder is still kind of holding out for that sweetened offer. 110 00:05:36,760 --> 00:05:37,400 Speaker 1: Stay with us. 111 00:05:37,440 --> 00:05:39,640 Speaker 2: More from Bloomberg Intelligence coming up after this. 112 00:05:43,279 --> 00:05:46,960 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 113 00:05:47,040 --> 00:05:50,120 Speaker 1: weekdays at ten am Eastern on Apple, cocklay and Android 114 00:05:50,120 --> 00:05:53,440 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 115 00:05:53,520 --> 00:05:56,600 Speaker 1: you get your podcasts, or watch us live on YouTube. 116 00:05:57,600 --> 00:05:59,640 Speaker 2: Some big news out of Big Tech this week when 117 00:05:59,680 --> 00:06:03,800 Speaker 2: it comes to jobs as well, Yeah, layoffs from meta platforms. 118 00:06:04,040 --> 00:06:06,559 Speaker 4: It is beginning to cut more than a thousand jobs 119 00:06:06,600 --> 00:06:09,760 Speaker 4: from the company's Reality Labs division, part of its plan 120 00:06:09,920 --> 00:06:13,760 Speaker 4: to redirect resources from virtual reality and metaverse products, which 121 00:06:13,800 --> 00:06:17,000 Speaker 4: is really really interesting given the facts that it invested 122 00:06:17,080 --> 00:06:20,880 Speaker 4: so much into this endeavor, even change its name accordingly, 123 00:06:21,560 --> 00:06:24,560 Speaker 4: and we have with us Man Deep Saying, Global Tech 124 00:06:24,640 --> 00:06:27,800 Speaker 4: Research head of Bloomberg Intelligence, to discuss this. Man Deep, 125 00:06:28,120 --> 00:06:30,240 Speaker 4: what does this all mean for Meta's bottom line? What 126 00:06:30,279 --> 00:06:32,039 Speaker 4: do these jobs job cuts? 127 00:06:32,080 --> 00:06:32,120 Speaker 3: Do? 128 00:06:32,960 --> 00:06:37,080 Speaker 5: I mean Reality lab segment is almost losing twenty billion 129 00:06:37,160 --> 00:06:41,640 Speaker 5: dollars a year and cumulatively they've lost about seventy billion 130 00:06:41,720 --> 00:06:44,800 Speaker 5: dollars over the past three years, so a lot of 131 00:06:44,839 --> 00:06:49,440 Speaker 5: investors questioned, you know, how long they were expected to 132 00:06:50,240 --> 00:06:53,960 Speaker 5: remain patient on those kind of losses. And I think 133 00:06:54,000 --> 00:06:57,280 Speaker 5: the initial rumors were about a thirty percent cut in 134 00:06:57,320 --> 00:07:01,560 Speaker 5: that unit. So this is somewhat build expectations in terms 135 00:07:01,640 --> 00:07:04,839 Speaker 5: of ten percent job cut, but it just goes to 136 00:07:04,960 --> 00:07:09,159 Speaker 5: show that right now, the companies obviously focus more on 137 00:07:09,200 --> 00:07:12,400 Speaker 5: the AI side in terms of building the infrastructure, building 138 00:07:12,400 --> 00:07:15,400 Speaker 5: their own large angrid model, and it may take a 139 00:07:15,440 --> 00:07:20,840 Speaker 5: while to you know, really bring it, bring that LLLM 140 00:07:20,960 --> 00:07:24,600 Speaker 5: concept in that variables or the whether it's a VR 141 00:07:24,680 --> 00:07:30,080 Speaker 5: headsets or the glasses. And I mean when you compare 142 00:07:30,560 --> 00:07:34,440 Speaker 5: VR headsets or the glasses that they're selling to let's 143 00:07:34,480 --> 00:07:37,800 Speaker 5: say air pods, the number of units pale in comparison. 144 00:07:37,840 --> 00:07:40,240 Speaker 5: We're talking, you know, ten million, maybe if they do 145 00:07:40,320 --> 00:07:44,040 Speaker 5: twenty million. Apple does more than one hundred million AirPods 146 00:07:44,040 --> 00:07:48,080 Speaker 5: a year, So what's the opportunity here? And I think 147 00:07:48,120 --> 00:07:51,800 Speaker 5: that's where you probably will see more cuts in that business. 148 00:07:51,840 --> 00:07:54,520 Speaker 2: That is a really really important contrast to make their 149 00:07:54,880 --> 00:07:56,840 Speaker 2: in terms of what Meta is trying to do, because 150 00:07:56,840 --> 00:07:59,040 Speaker 2: they want to be a part of the mass market here, 151 00:07:59,080 --> 00:08:03,440 Speaker 2: but it's not quite there yet. Mindy, As Meta pivots 152 00:08:03,440 --> 00:08:05,640 Speaker 2: away from VR in the metaverse to AI, what does 153 00:08:05,640 --> 00:08:07,720 Speaker 2: that mean for spending? I mean, they obviously had to 154 00:08:07,760 --> 00:08:10,400 Speaker 2: spend a lot to build out the metaverse, to build 155 00:08:10,440 --> 00:08:14,640 Speaker 2: out their VR offerings, and now they're going to shift 156 00:08:14,680 --> 00:08:18,040 Speaker 2: everything to building out the AI offerings, large language models, 157 00:08:18,080 --> 00:08:22,320 Speaker 2: these AI glasses. What do you think that the pace 158 00:08:22,320 --> 00:08:24,440 Speaker 2: of spending would just kind of continue, It won't really 159 00:08:24,520 --> 00:08:25,400 Speaker 2: shift all that much. 160 00:08:26,160 --> 00:08:29,320 Speaker 5: Yes, On the AI side, the opportunity is huge. What 161 00:08:29,440 --> 00:08:33,079 Speaker 5: everyone is chasing right now is an AI agent that 162 00:08:33,160 --> 00:08:37,200 Speaker 5: can book your travel, your Uber trip, order food, you know, 163 00:08:37,520 --> 00:08:40,679 Speaker 5: do shopping for you. That's the vision Google is chasing. 164 00:08:40,720 --> 00:08:45,040 Speaker 5: That's what Amazon alexaplus launch was all about. So Meta 165 00:08:45,160 --> 00:08:48,440 Speaker 5: has that surface area with you know, Instagram and WhatsApp, 166 00:08:48,520 --> 00:08:52,520 Speaker 5: and you could argue they could in theory develop such 167 00:08:52,520 --> 00:08:56,880 Speaker 5: an agent, but the hard part is integration and getting 168 00:08:56,960 --> 00:08:59,959 Speaker 5: the AI to where it's you know, reliable and pretty. 169 00:09:00,480 --> 00:09:04,840 Speaker 5: And that's where I mean, it's anybody's guests who is 170 00:09:04,880 --> 00:09:08,960 Speaker 5: best positioned. I think that Apple Google partnership that we 171 00:09:09,000 --> 00:09:12,320 Speaker 5: saw this week is probably a negative for Meta in 172 00:09:12,360 --> 00:09:16,079 Speaker 5: this sense. Like, if Apple is setting up defaults in 173 00:09:16,160 --> 00:09:19,240 Speaker 5: their phone, then that makes it hard for an external 174 00:09:20,320 --> 00:09:23,920 Speaker 5: kind of agent to do these kind of things. So 175 00:09:24,320 --> 00:09:29,280 Speaker 5: from that perspective, distribution really matters and operating system control 176 00:09:29,400 --> 00:09:33,920 Speaker 5: really matters. So Meta is somewhat at a disadvantage when 177 00:09:33,920 --> 00:09:36,880 Speaker 5: it comes to, you know, their distribution on Apple and 178 00:09:36,880 --> 00:09:37,800 Speaker 5: Android devices. 179 00:09:38,240 --> 00:09:41,800 Speaker 4: Mandy. We also got news today that Airbnb hired Meta's 180 00:09:41,880 --> 00:09:45,680 Speaker 4: head of General AI, which is really interesting because wasn't 181 00:09:45,720 --> 00:09:48,040 Speaker 4: it not too long ago that they declined to work 182 00:09:48,080 --> 00:09:50,240 Speaker 4: with open AI. What does this all mean for its 183 00:09:50,440 --> 00:09:52,040 Speaker 4: artificial intelligence endeavors. 184 00:09:52,200 --> 00:09:55,920 Speaker 5: Yeah, I think Brian Chesky has been quite vocal about 185 00:09:56,200 --> 00:10:00,679 Speaker 5: using open source llms as opposed to you know, proprietary 186 00:10:00,960 --> 00:10:05,200 Speaker 5: llms like open AI and Gemini, and so his thing is, 187 00:10:05,600 --> 00:10:09,040 Speaker 5: I've got a direct customer traffic coming to my website. 188 00:10:09,559 --> 00:10:13,760 Speaker 5: If I give away you know, my bookings interface to 189 00:10:13,840 --> 00:10:17,760 Speaker 5: these llms, then I'm losing that customer direct customer touch, 190 00:10:18,400 --> 00:10:20,760 Speaker 5: and he doesn't want to do that. He instead wants 191 00:10:20,800 --> 00:10:23,600 Speaker 5: to build his own LM based on an open source 192 00:10:24,040 --> 00:10:26,240 Speaker 5: model that's already out there, and that's where you know, 193 00:10:27,000 --> 00:10:30,160 Speaker 5: Meta has open source their model in the past, so 194 00:10:30,200 --> 00:10:33,120 Speaker 5: it makes sense to have somebody from Meta come in 195 00:10:33,200 --> 00:10:37,400 Speaker 5: and do something along those lines. ABNP has been open 196 00:10:37,440 --> 00:10:40,520 Speaker 5: to using Chinese open source models and building on top 197 00:10:40,559 --> 00:10:43,480 Speaker 5: of that. So from that perspective, it's an interesting strategy 198 00:10:43,960 --> 00:10:46,920 Speaker 5: that they are going ahead with in terms of using 199 00:10:47,000 --> 00:10:49,240 Speaker 5: all kinds of open source and not just you know, 200 00:10:49,280 --> 00:10:50,280 Speaker 5: the US based model. 201 00:10:50,480 --> 00:10:52,400 Speaker 2: Who in the tech world is winning the talent war 202 00:10:52,440 --> 00:10:55,720 Speaker 2: because it felt like for a long time open AI 203 00:10:55,840 --> 00:10:57,920 Speaker 2: and traffic they were, you know, picking up a lot 204 00:10:57,960 --> 00:10:58,360 Speaker 2: of talent. 205 00:10:58,559 --> 00:10:59,760 Speaker 4: Is that still the case? 206 00:11:00,880 --> 00:11:03,200 Speaker 5: I mean right now, the talent is going to where 207 00:11:03,200 --> 00:11:06,440 Speaker 5: the compute is. If you don't have the compute, you 208 00:11:06,679 --> 00:11:10,000 Speaker 5: just cannot attract the talent because these models need a 209 00:11:10,000 --> 00:11:13,200 Speaker 5: lot of compute for training. And you may be the 210 00:11:13,240 --> 00:11:15,800 Speaker 5: smartest person, but if you don't have the computer, you 211 00:11:15,800 --> 00:11:19,720 Speaker 5: can't test your idea. So from that perspective, infrastructure bill 212 00:11:19,880 --> 00:11:22,600 Speaker 5: really matters, which is why in Nvidia, even though they 213 00:11:22,600 --> 00:11:25,880 Speaker 5: are the chip provider, now they launch their own foundational 214 00:11:25,920 --> 00:11:30,079 Speaker 5: model in autos self driving that just goes to show 215 00:11:30,160 --> 00:11:33,400 Speaker 5: what compute can do, you know, and Vidia is definitely 216 00:11:33,440 --> 00:11:35,520 Speaker 5: moving up the stax. It will be interesting to see 217 00:11:35,520 --> 00:11:39,720 Speaker 5: how many areas where they compete in with their own foundational. 218 00:11:39,160 --> 00:11:42,080 Speaker 4: Model man Deep. We're early into the earning season, but 219 00:11:42,200 --> 00:11:44,440 Speaker 4: big tech results will be here before we know it. 220 00:11:44,480 --> 00:11:46,880 Speaker 4: And obviously the bar is really high when it comes 221 00:11:46,880 --> 00:11:50,040 Speaker 4: to what these companies are saying about how they're monetizing 222 00:11:50,080 --> 00:11:52,240 Speaker 4: their heavy AI in investments. Do you think that they'll 223 00:11:52,280 --> 00:11:53,840 Speaker 4: live up to the expectations. 224 00:11:54,280 --> 00:11:56,480 Speaker 5: I think right now you have to focus on where 225 00:11:56,520 --> 00:12:01,560 Speaker 5: you will see positive earnings revisions, and given the KAPEX 226 00:12:01,640 --> 00:12:04,520 Speaker 5: investments are going up for this year, it's going to 227 00:12:04,600 --> 00:12:07,600 Speaker 5: be hard to show, you know, positive revisions when it 228 00:12:07,640 --> 00:12:12,079 Speaker 5: comes to earnings, except for someone like Alphabet that really 229 00:12:12,120 --> 00:12:17,800 Speaker 5: has seen a big shift in sentiment because everyone realizes 230 00:12:17,960 --> 00:12:20,200 Speaker 5: that their models have caught up, and they also are 231 00:12:20,240 --> 00:12:22,760 Speaker 5: the most efficient when it comes to their stack, the 232 00:12:22,880 --> 00:12:26,920 Speaker 5: use of TPUs and low cost inferencing. So from that perspective, 233 00:12:27,200 --> 00:12:31,280 Speaker 5: I think Alphabet clearly is best position to deliver positive surprises. 234 00:12:31,640 --> 00:12:34,200 Speaker 5: But for someone like Meta, I mean, if you're hearing 235 00:12:34,280 --> 00:12:37,079 Speaker 5: job cuts, then you know probably it's going to be 236 00:12:37,120 --> 00:12:39,760 Speaker 5: hard for them to you know, show positive revisions this year. 237 00:12:40,320 --> 00:12:44,040 Speaker 2: And I feel like the counterpoint to an Alphabet a 238 00:12:44,120 --> 00:12:48,480 Speaker 2: Google that's doing really well is Oracle. We've seen it 239 00:12:48,559 --> 00:12:52,320 Speaker 2: really fall from grace of it, and I wonder how 240 00:12:52,360 --> 00:12:55,520 Speaker 2: critical investors are going to be when they hear from 241 00:12:55,559 --> 00:12:56,840 Speaker 2: the company this earning season. 242 00:12:57,120 --> 00:13:00,160 Speaker 5: Well, they will have to give foof points of the 243 00:13:00,200 --> 00:13:04,000 Speaker 5: build out, the open AI backlock that they have and 244 00:13:04,080 --> 00:13:07,080 Speaker 5: how that translates into revenue. Because the good thing is 245 00:13:07,559 --> 00:13:12,000 Speaker 5: market is skeptical of, you know, really far out revenue streams, 246 00:13:12,040 --> 00:13:14,560 Speaker 5: and so from that perspective, this is quite healthy that 247 00:13:14,720 --> 00:13:18,160 Speaker 5: you know, there was a correction in Oracle even though 248 00:13:18,160 --> 00:13:20,560 Speaker 5: they have given a four or five year revenue guide 249 00:13:20,800 --> 00:13:23,520 Speaker 5: and they have the backlock, market doesn't believe it. The 250 00:13:23,600 --> 00:13:25,480 Speaker 5: market wants to see more proof points. So I think 251 00:13:25,559 --> 00:13:27,480 Speaker 5: that's what companies will have to do when it comes 252 00:13:27,480 --> 00:13:31,640 Speaker 5: to open AI monetization and ROI. They'll have to start 253 00:13:31,640 --> 00:13:33,200 Speaker 5: showing more tangible proof points. 254 00:13:33,880 --> 00:13:36,800 Speaker 2: Stay with us more from Bloomberg Intelligence coming up after this. 255 00:13:40,559 --> 00:13:44,240 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 256 00:13:44,320 --> 00:13:47,400 Speaker 1: weekdays at ten am Eastern on Apple Corplay and Android 257 00:13:47,400 --> 00:13:50,720 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 258 00:13:50,760 --> 00:13:53,920 Speaker 1: you get your podcasts, or watch us live on YouTube. 259 00:13:54,559 --> 00:13:56,640 Speaker 2: We are talking about the big take that Bloomberg has 260 00:13:56,679 --> 00:14:00,760 Speaker 2: published today, and it's called the CEO playbook to navigate Trump. 261 00:14:00,880 --> 00:14:04,800 Speaker 2: This is kind of the question of the president's second, 262 00:14:05,920 --> 00:14:09,040 Speaker 2: second four year term. How do you manage this president? 263 00:14:09,080 --> 00:14:12,520 Speaker 2: And the answers with difficulty because the rules kind of 264 00:14:12,559 --> 00:14:15,120 Speaker 2: keep changing. Matt Boyle is one of the co authors 265 00:14:15,160 --> 00:14:17,280 Speaker 2: of this story, and Matt joins us now in studio. 266 00:14:17,480 --> 00:14:20,320 Speaker 2: Great story, Matt, and it was something that you had 267 00:14:20,400 --> 00:14:24,000 Speaker 2: trouble reporting on insofar as a lot of people wouldn't. 268 00:14:23,680 --> 00:14:26,800 Speaker 6: Talk to you exactly. I mean, the usual sort of 269 00:14:26,960 --> 00:14:31,000 Speaker 6: voices of Corporate America, the Chamber of Commerce, the Business Roundtable, 270 00:14:31,080 --> 00:14:32,920 Speaker 6: We're just like, you know, we're going to take a 271 00:14:33,000 --> 00:14:36,040 Speaker 6: pass on this one, and just about every CEO under 272 00:14:36,040 --> 00:14:38,440 Speaker 6: the sun, you know, just they just don't want to 273 00:14:38,480 --> 00:14:40,880 Speaker 6: go there. It's like the third rail. So it was 274 00:14:41,000 --> 00:14:43,560 Speaker 6: challenging to report. But we had a lot of great conversations, 275 00:14:43,600 --> 00:14:47,240 Speaker 6: let's say, on background, with those who are advising CEOs, 276 00:14:47,320 --> 00:14:50,040 Speaker 6: and that led to our playbook. Here the five Rules 277 00:14:50,040 --> 00:14:52,120 Speaker 6: for dealing with the Trump Madness. 278 00:14:52,680 --> 00:14:55,360 Speaker 4: Matt. We've seen a growing number of business leaders recently 279 00:14:55,480 --> 00:14:57,640 Speaker 4: kind of push back more than usual on some of 280 00:14:57,680 --> 00:15:01,400 Speaker 4: President Trump's policy proposals. We had City CFO this morning 281 00:15:01,440 --> 00:15:04,000 Speaker 4: pushing back on the credit card cap, x On Mobile 282 00:15:04,080 --> 00:15:07,520 Speaker 4: CEO calling Venezuela an investable? Is this unusual in what 283 00:15:07,600 --> 00:15:09,720 Speaker 4: might be the consequences for them? 284 00:15:09,920 --> 00:15:12,160 Speaker 6: Yeah, it takes a certain CEO to push back. It 285 00:15:12,200 --> 00:15:14,480 Speaker 6: takes a Jamie Diamond or the CEO of ex On 286 00:15:14,560 --> 00:15:17,040 Speaker 6: Mobile who have the clout and the authority and the 287 00:15:17,040 --> 00:15:20,440 Speaker 6: industry backing to say no. You know, this is actually 288 00:15:20,480 --> 00:15:23,000 Speaker 6: not perhaps a good idea. But most of the time, 289 00:15:23,040 --> 00:15:26,240 Speaker 6: as we saw with tariffs, it was happening behind the scenes. 290 00:15:26,600 --> 00:15:29,200 Speaker 6: You know, remember this is going back aways. But when 291 00:15:29,320 --> 00:15:33,200 Speaker 6: Trump told the Walmart CEO, Doug McMillan to eat the tariffs, 292 00:15:34,040 --> 00:15:36,640 Speaker 6: Walmart said nothing, and that was probably pretty wise. There 293 00:15:36,720 --> 00:15:38,600 Speaker 6: was no reason to get into a public spat on 294 00:15:38,640 --> 00:15:42,720 Speaker 6: true social with Trump. So but now maybe it's because 295 00:15:42,720 --> 00:15:45,440 Speaker 6: Trump is in a different position twelve months later, or 296 00:15:45,480 --> 00:15:48,640 Speaker 6: it's the issues involved. You know, banking CEOs are very 297 00:15:48,680 --> 00:15:52,120 Speaker 6: happy to go out against interest ratecaps, but we are 298 00:15:52,200 --> 00:15:54,680 Speaker 6: seeing in certain cases some CEOs pushed back. 299 00:15:54,760 --> 00:15:57,960 Speaker 2: Yes, and direct engagement does seem to pay off. If 300 00:15:58,000 --> 00:16:01,320 Speaker 2: you can find your way to the President and mobile phone, 301 00:16:01,320 --> 00:16:04,240 Speaker 2: which apparently he pans out the number pretty willingly to 302 00:16:04,560 --> 00:16:08,600 Speaker 2: certain top CEOs. You talk about in videos Jensen Huang 303 00:16:08,960 --> 00:16:13,080 Speaker 2: having a direct line to the President, also Lipboon Tam 304 00:16:13,200 --> 00:16:15,160 Speaker 2: of Intel being able to do that as well. 305 00:16:15,280 --> 00:16:18,160 Speaker 6: Exactly. I mean Jensen in video CEO one on Joe 306 00:16:18,240 --> 00:16:22,400 Speaker 6: Rogan in December and said, you know, Trump is extraordinarily accessible. 307 00:16:22,440 --> 00:16:25,040 Speaker 6: The United Airline CEO said the same thing to us. 308 00:16:25,120 --> 00:16:27,560 Speaker 6: I mean, you can call this man up. He does 309 00:16:27,640 --> 00:16:29,840 Speaker 6: answer his cell phone, as we've seen. Sometimes at four 310 00:16:29,960 --> 00:16:32,320 Speaker 6: thirty in the morning, he will pick up his cell phone. 311 00:16:32,360 --> 00:16:35,720 Speaker 6: But not everybody has Trump on speed dials. So a 312 00:16:35,800 --> 00:16:37,680 Speaker 6: point of our story was that you have to find 313 00:16:37,720 --> 00:16:40,400 Speaker 6: a way in, whether that's Susie Wiles, the chief of Staff, 314 00:16:40,880 --> 00:16:44,440 Speaker 6: whether it's Scott Besson Treasury or Commerce, Howard Lutnick, or 315 00:16:44,520 --> 00:16:46,960 Speaker 6: one of the sort of lower level aids. Also, I 316 00:16:46,960 --> 00:16:49,280 Speaker 6: mean we found that, you know, the director of the 317 00:16:49,280 --> 00:16:52,600 Speaker 6: White House Office of Public Liaison is somebody you can 318 00:16:52,760 --> 00:16:54,880 Speaker 6: you can go to also, So the point is to 319 00:16:54,880 --> 00:16:56,880 Speaker 6: find a way in, no matter how you do it. 320 00:16:57,280 --> 00:16:59,560 Speaker 4: Matt, what are some of the differences in how President 321 00:16:59,600 --> 00:17:02,280 Speaker 4: and Trump deals with business leaders in his second term 322 00:17:02,320 --> 00:17:03,280 Speaker 4: from his first term. 323 00:17:03,600 --> 00:17:07,000 Speaker 6: Well, the second term he's a little bit more unshackled. 324 00:17:07,119 --> 00:17:09,320 Speaker 6: Let's say in the first term, you had a few 325 00:17:09,359 --> 00:17:13,040 Speaker 6: more traditional Republican voices, you know, you had Rex Tillerson 326 00:17:13,440 --> 00:17:16,600 Speaker 6: in there and other folks who you know, were able 327 00:17:16,640 --> 00:17:19,399 Speaker 6: to maybe play little defense. They were able to slow 328 00:17:19,520 --> 00:17:24,400 Speaker 6: walk some of Trump's more outrageous policy proposals. Now it's 329 00:17:24,440 --> 00:17:29,040 Speaker 6: just all true believers. So he's sort of unfettered, he's unshackled, 330 00:17:29,200 --> 00:17:31,960 Speaker 6: and there's really not many checks. So what this means 331 00:17:31,960 --> 00:17:34,399 Speaker 6: for CEOs is, yeah, they really can't hide. They can't 332 00:17:34,440 --> 00:17:37,040 Speaker 6: just say well, we'll let our industry association take care 333 00:17:37,080 --> 00:17:39,080 Speaker 6: of this or don't worry. I mean, look at just 334 00:17:39,119 --> 00:17:42,320 Speaker 6: the past week what's been going on. CEOs really need 335 00:17:42,400 --> 00:17:43,080 Speaker 6: to be on watch. 336 00:17:43,280 --> 00:17:46,680 Speaker 4: Yeah, shackles is a fantastic word, a free range Trump right, 337 00:17:46,800 --> 00:17:47,879 Speaker 4: there we go, There we go. 338 00:17:48,280 --> 00:17:50,200 Speaker 2: The other thing that you could do, if you're trying 339 00:17:50,200 --> 00:17:52,400 Speaker 2: to get his attention or curry favor, is to give 340 00:17:52,520 --> 00:17:53,679 Speaker 2: him a made up award. 341 00:17:54,119 --> 00:17:59,200 Speaker 6: Yes, he does respond to these types of trinkets and trophies, 342 00:17:59,400 --> 00:18:02,280 Speaker 6: as we've seen of the Apple CEO, Tim Cook was 343 00:18:02,280 --> 00:18:04,520 Speaker 6: able to give him this sort of glass you know, 344 00:18:05,040 --> 00:18:07,720 Speaker 6: trophy with a twenty four carrot gold base or something, 345 00:18:07,720 --> 00:18:10,159 Speaker 6: you know, with the Apple logo on it. And you know, 346 00:18:10,200 --> 00:18:12,840 Speaker 6: guess what, you know, it was over tariffs and Cook 347 00:18:12,920 --> 00:18:17,040 Speaker 6: and Apple we're looking for some relief on foreign microchip tariffs. 348 00:18:17,040 --> 00:18:19,520 Speaker 6: So and you know that helped. It also helped though 349 00:18:19,520 --> 00:18:21,680 Speaker 6: that Cook had really put in the work though, talking 350 00:18:21,720 --> 00:18:24,440 Speaker 6: to Trump for years now, going back to the first administration. 351 00:18:24,760 --> 00:18:26,359 Speaker 6: So you can't just you know, sort of throw a 352 00:18:26,400 --> 00:18:29,360 Speaker 6: trophy at him. But it does take some groundwork as well. 353 00:18:29,480 --> 00:18:32,040 Speaker 6: But look at the Swiss business executives also giving him 354 00:18:32,040 --> 00:18:34,080 Speaker 6: a you know, a gold role X and you know, 355 00:18:34,160 --> 00:18:37,359 Speaker 6: so these things do tend to have an impact. As 356 00:18:37,400 --> 00:18:40,160 Speaker 6: we say, everything is a transaction with this president. 357 00:18:40,440 --> 00:18:43,440 Speaker 4: Matt, you mentioned it's been difficult getting people to speak 358 00:18:43,480 --> 00:18:45,600 Speaker 4: to you for this story. Did any of the business 359 00:18:45,680 --> 00:18:48,360 Speaker 4: leaders you spoke to give you reasoning for why they 360 00:18:48,480 --> 00:18:50,280 Speaker 4: might be afraid to talk or did they kind of 361 00:18:50,320 --> 00:18:51,160 Speaker 4: just brush you off? 362 00:18:51,440 --> 00:18:54,080 Speaker 6: It's I mean, many brush us off through their gatekeepers. 363 00:18:54,119 --> 00:18:56,520 Speaker 6: They just the thing is, they just don't see much upside. 364 00:18:56,520 --> 00:18:59,119 Speaker 6: They don't want to be the one CEO talking to 365 00:18:59,320 --> 00:19:02,200 Speaker 6: any report are on the record. But as we've seen now, 366 00:19:02,200 --> 00:19:03,840 Speaker 6: maybe we might see some more come out of the 367 00:19:03,880 --> 00:19:07,320 Speaker 6: woodwork now that Diamond and others are talking about you know, 368 00:19:07,400 --> 00:19:11,320 Speaker 6: the interest rates. The defense companies also might have something 369 00:19:11,359 --> 00:19:14,040 Speaker 6: to say about Trump pressuring them, you know, to up 370 00:19:14,040 --> 00:19:17,119 Speaker 6: their game. So we'll see. But it's that, you know, 371 00:19:17,600 --> 00:19:20,520 Speaker 6: CEOs again that they might be speaking out on certain issues, 372 00:19:20,520 --> 00:19:23,720 Speaker 6: but when it comes to Trump again, they just fail 373 00:19:23,800 --> 00:19:26,720 Speaker 6: to see the upside. But at this point, as we say, 374 00:19:26,840 --> 00:19:30,000 Speaker 6: or it was a Yale School of Management person wrote 375 00:19:30,040 --> 00:19:33,200 Speaker 6: today in Bloomberg Opinion, the chaos is not just no 376 00:19:33,200 --> 00:19:35,920 Speaker 6: longer in the background. The chaos is baked in. It's 377 00:19:35,960 --> 00:19:38,480 Speaker 6: in the system. It's coming for them, So they might 378 00:19:38,520 --> 00:19:39,040 Speaker 6: want us talk. 379 00:19:39,240 --> 00:19:41,199 Speaker 2: So yeah, it's front and center, and it feels in 380 00:19:41,240 --> 00:19:44,160 Speaker 2: many ways like those who know how to navigate governments 381 00:19:44,200 --> 00:19:46,200 Speaker 2: and emerging markets might be better positioned. 382 00:19:46,280 --> 00:19:48,639 Speaker 6: Yeah, so you have that experience exactly, you know, of 383 00:19:48,640 --> 00:19:52,359 Speaker 6: that sort of slightly more chaotic, slightly more freewheeling environments, 384 00:19:52,640 --> 00:19:55,520 Speaker 6: and many of these big multinationals, of course, do operate. 385 00:19:55,240 --> 00:19:56,040 Speaker 5: In those areas. 386 00:19:57,840 --> 00:20:02,520 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 387 00:20:02,720 --> 00:20:06,160 Speaker 1: and anywhere else you get your podcasts. 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