1 00:00:00,080 --> 00:00:02,240 Speaker 1: All right, thanks very much. AD. Ten minutes here before 2 00:00:02,279 --> 00:00:04,160 Speaker 1: the top of the hour, it's time for the daybreak 3 00:00:04,200 --> 00:00:07,600 Speaker 1: Asian media and Tea Leaves review from the Wall Street Journal, 4 00:00:07,640 --> 00:00:09,360 Speaker 1: and this is a story we've talked a lot about 5 00:00:09,400 --> 00:00:12,600 Speaker 1: this morning. China is preparing to impose a fine of 6 00:00:12,680 --> 00:00:16,160 Speaker 1: about a billion dollars on d D Global. This would 7 00:00:16,160 --> 00:00:19,560 Speaker 1: bring to an end a year long investigation. The inquiry 8 00:00:19,600 --> 00:00:23,920 Speaker 1: has been into the company cyber security practices and protection 9 00:00:23,960 --> 00:00:28,080 Speaker 1: of data. Once this penalty is unveiled, the story says, 10 00:00:28,080 --> 00:00:31,600 Speaker 1: the government plans to ease an earlier restriction that bans 11 00:00:31,680 --> 00:00:34,680 Speaker 1: d D from adding new users to its platform. It 12 00:00:34,760 --> 00:00:37,479 Speaker 1: has tens of millions of users but wasn't able to 13 00:00:37,479 --> 00:00:42,120 Speaker 1: add so this wrapping up of the investigation would pave 14 00:00:42,159 --> 00:00:44,120 Speaker 1: the way for d D to kick start a new 15 00:00:44,159 --> 00:00:48,279 Speaker 1: share listing in Hong Kong from a p and this 16 00:00:48,360 --> 00:00:52,080 Speaker 1: is also from the Financial Times earlier. China will take 17 00:00:52,280 --> 00:00:55,640 Speaker 1: resolute and strong measures should the Speaker of the U 18 00:00:55,720 --> 00:00:59,720 Speaker 1: S House of Representative, Nancy Pelosi, proceed with a reported 19 00:01:00,360 --> 00:01:03,760 Speaker 1: to visit Taiwan. Now this was originally reported by the 20 00:01:03,840 --> 00:01:08,120 Speaker 1: Financial Times. She's originally scheduled, or was originally scheduled to 21 00:01:08,200 --> 00:01:11,160 Speaker 1: visit in April, but had a postpone after she tested 22 00:01:11,160 --> 00:01:15,039 Speaker 1: positive for COVID nineteen and from the Nick, Japan Airlines 23 00:01:15,120 --> 00:01:18,320 Speaker 1: is planning to transfer about three thousand workers from its 24 00:01:18,319 --> 00:01:23,119 Speaker 1: core business to its budget carriers and to non aviation units. 25 00:01:23,120 --> 00:01:26,479 Speaker 1: And that's due to forecast of business travel not returning 26 00:01:26,720 --> 00:01:30,920 Speaker 1: to pre pandemic levels for a prolonged period of time. 27 00:01:31,520 --> 00:01:33,600 Speaker 1: That's from the Nick. And back to that Wall Street 28 00:01:33,640 --> 00:01:36,000 Speaker 1: Journal story we mentioned d d U the A d 29 00:01:36,160 --> 00:01:40,000 Speaker 1: r S did advance in the U S session. That 30 00:01:40,240 --> 00:01:42,600 Speaker 1: is a rap on the media. Nine minutes eight minutes 31 00:01:42,640 --> 00:01:44,880 Speaker 1: now before the top of the hour, Yvon, all right, 32 00:01:44,959 --> 00:01:47,560 Speaker 1: let's get more on those Netflix earnings. Now. Things could 33 00:01:47,600 --> 00:01:52,160 Speaker 1: be turning around for the streaming company, losing fewer subscribers 34 00:01:52,240 --> 00:01:55,680 Speaker 1: expected in the second quarter, but the company isn't projecting 35 00:01:55,680 --> 00:01:58,400 Speaker 1: a return to rapid growth anytime soon. Joining us now 36 00:01:58,440 --> 00:02:01,520 Speaker 1: discuss all this is geta rocket, nothing, Bloomberg Intelligence, tech 37 00:02:01,880 --> 00:02:05,800 Speaker 1: and media analysts and geta It's interesting because even read 38 00:02:05,840 --> 00:02:10,160 Speaker 1: hastings at himself, losing close to a million subscribers can't 39 00:02:10,200 --> 00:02:13,120 Speaker 1: be really seen as a success, but investors centainly are 40 00:02:13,200 --> 00:02:17,720 Speaker 1: cheering the news what's your take overall, Yes, so Yvonne, 41 00:02:18,120 --> 00:02:21,240 Speaker 1: definitely a mixed bag, you know, and I think right 42 00:02:21,240 --> 00:02:25,160 Speaker 1: now we're we're you know, just with the stock having 43 00:02:25,160 --> 00:02:27,520 Speaker 1: taken such a beating, I think the general sentiment is 44 00:02:27,560 --> 00:02:30,480 Speaker 1: just less bad is good, which is why we're kind 45 00:02:30,520 --> 00:02:33,920 Speaker 1: of seeing this uh short term relief rally. But if 46 00:02:33,960 --> 00:02:35,840 Speaker 1: you kind of just dig through the numbers a little 47 00:02:35,840 --> 00:02:37,560 Speaker 1: bit and look under the hood. As far as the 48 00:02:37,720 --> 00:02:40,880 Speaker 1: three Q guidance sys concerned, there's really not a whole 49 00:02:40,960 --> 00:02:44,640 Speaker 1: lot to cheer about. Um. So they are guiding to growth, yes, 50 00:02:45,200 --> 00:02:48,320 Speaker 1: so you know they're guiding to about a million subscriber ads. 51 00:02:48,360 --> 00:02:50,640 Speaker 1: But then you look at the number of subscribers that 52 00:02:50,680 --> 00:02:52,960 Speaker 1: you've lost so far in the first half of the year, 53 00:02:53,040 --> 00:02:55,880 Speaker 1: that's just over a million. So it's about one point 54 00:02:55,960 --> 00:02:58,040 Speaker 1: two million or so. So this is really going to 55 00:02:58,080 --> 00:03:00,679 Speaker 1: be a wash at the end of three Q. Uh. 56 00:03:00,680 --> 00:03:04,120 Speaker 1: And there's really no clarity in terms of what the 57 00:03:04,200 --> 00:03:08,240 Speaker 1: long term subscriber trajectory is going to be, uh, you know, 58 00:03:08,400 --> 00:03:12,079 Speaker 1: especially with all these macro headmands kind of building. Um. 59 00:03:12,120 --> 00:03:15,800 Speaker 1: But there are some positives, there are some positives to 60 00:03:15,840 --> 00:03:19,080 Speaker 1: think about. I mean, one thing was the valuation of 61 00:03:19,120 --> 00:03:21,720 Speaker 1: the stock had dropped so far that you know there 62 00:03:21,800 --> 00:03:26,520 Speaker 1: was some room there. Uh. The the the advertising option, which 63 00:03:26,520 --> 00:03:29,240 Speaker 1: is which is coming. I guess they're testing in Latin America. 64 00:03:29,280 --> 00:03:32,680 Speaker 1: I want to ask you specifically about that. Uh, that 65 00:03:33,000 --> 00:03:35,880 Speaker 1: would seem to suggest that there could be some positives 66 00:03:35,920 --> 00:03:38,280 Speaker 1: from that, but that it might be really slow in coming. 67 00:03:39,400 --> 00:03:42,440 Speaker 1: That's exactly right, brand, So this is all going to 68 00:03:42,480 --> 00:03:46,400 Speaker 1: take a while. Yes, there are positives, Uh, definitely, as 69 00:03:46,400 --> 00:03:48,440 Speaker 1: you pointed out, that they are trying to do their 70 00:03:48,480 --> 00:03:52,480 Speaker 1: best in terms of monetizing all of these incremental revenue opportunities, 71 00:03:52,520 --> 00:03:55,960 Speaker 1: whether it is cracking down or password sharing as as 72 00:03:56,000 --> 00:03:57,760 Speaker 1: they are doing as they're testing out right now in 73 00:03:57,800 --> 00:04:00,720 Speaker 1: Latin America, whether it's introducing that new ad vertizing tier. 74 00:04:02,160 --> 00:04:05,760 Speaker 1: But again, remember none of these are inherently in their DNA. 75 00:04:05,880 --> 00:04:08,600 Speaker 1: They have to build this from scratch, and so it 76 00:04:08,720 --> 00:04:11,480 Speaker 1: is definitely going to take time. Uh, you know, and 77 00:04:11,480 --> 00:04:15,280 Speaker 1: and before like it kind of uh has a material 78 00:04:15,320 --> 00:04:18,159 Speaker 1: impact on financials, it's going to be We're we're looking 79 00:04:18,200 --> 00:04:21,440 Speaker 1: at at least another twelve to eighteen months before this 80 00:04:21,560 --> 00:04:25,440 Speaker 1: really kind of boost the top line and the bottom line. 81 00:04:26,440 --> 00:04:29,040 Speaker 1: And what really drove these results was you know, as 82 00:04:29,040 --> 00:04:32,359 Speaker 1: they said one single thing, which was stranger things. I 83 00:04:32,400 --> 00:04:34,520 Speaker 1: wonder in terms of how much they're saying that they're 84 00:04:34,520 --> 00:04:37,160 Speaker 1: going to put into putting generally new content, what's in 85 00:04:37,200 --> 00:04:39,440 Speaker 1: the pipeline. Is there anything there to kind of sort 86 00:04:39,440 --> 00:04:44,120 Speaker 1: of reverse this tide and actually beat the competition spending less? Yes, 87 00:04:44,200 --> 00:04:47,719 Speaker 1: they are. They're actually holding spending flat at about seventeen 88 00:04:47,720 --> 00:04:51,320 Speaker 1: billion dollars in cash content spend. Um. Is that a 89 00:04:51,400 --> 00:04:54,840 Speaker 1: good thing? Well, yes, it does help them from you know, 90 00:04:55,040 --> 00:04:58,200 Speaker 1: an overall financial perspective that is going to partly contribute 91 00:04:58,279 --> 00:05:00,520 Speaker 1: to their free cash flow, their positive free cash flow 92 00:05:00,520 --> 00:05:03,440 Speaker 1: guidance for about a billion dollars this year and substantial 93 00:05:03,480 --> 00:05:07,280 Speaker 1: growth into three. But then, um, you know, you do 94 00:05:07,360 --> 00:05:10,840 Speaker 1: have their competitors kind of really really ramping up, um, 95 00:05:10,880 --> 00:05:12,839 Speaker 1: you know, when it comes to content, whether it's a Disney, 96 00:05:12,880 --> 00:05:15,760 Speaker 1: whether it's an Amazon Prime that's going after football, that's 97 00:05:15,760 --> 00:05:18,960 Speaker 1: going after all of these expensive new drama series. You 98 00:05:19,040 --> 00:05:21,880 Speaker 1: have Apple foraying into sports. So you have all of 99 00:05:21,920 --> 00:05:25,120 Speaker 1: their competitors kind of really going after a huge, big, 100 00:05:25,160 --> 00:05:28,400 Speaker 1: massive pieces of content, taking big swings. And so I'm 101 00:05:28,440 --> 00:05:30,960 Speaker 1: not necessarily sure it's a prudent move for Netflix to 102 00:05:31,040 --> 00:05:34,480 Speaker 1: kind of hold back when you have competition ratcheting up 103 00:05:34,560 --> 00:05:39,120 Speaker 1: so fiercely. That said, uh, and we always defer to 104 00:05:39,160 --> 00:05:41,560 Speaker 1: you a gitab but just to challenge you a little 105 00:05:41,560 --> 00:05:44,359 Speaker 1: bit um, you know, they did have the first mover 106 00:05:44,960 --> 00:05:48,240 Speaker 1: advantage the name. I mean, you know you're gonna cancel. 107 00:05:48,320 --> 00:05:50,720 Speaker 1: If you're going to cancel some streaming, Netflix wouldn't be 108 00:05:50,960 --> 00:05:53,640 Speaker 1: first on your list. It would probably be last on 109 00:05:53,680 --> 00:05:55,880 Speaker 1: the list for for a lot of people. And and 110 00:05:55,920 --> 00:05:58,920 Speaker 1: the past word strategy is kind of interesting. Is there 111 00:05:58,960 --> 00:06:03,039 Speaker 1: some room there? The past word strategy is definitely interesting, 112 00:06:03,120 --> 00:06:06,719 Speaker 1: But remember you have trained people over so many years 113 00:06:06,760 --> 00:06:09,440 Speaker 1: now to kind of do this. They almost encouraged it 114 00:06:09,560 --> 00:06:12,720 Speaker 1: in many ways, and so now suddenly to kind of 115 00:06:12,760 --> 00:06:17,640 Speaker 1: clamp down on it. Uh, is I don't know if 116 00:06:17,680 --> 00:06:19,279 Speaker 1: if it's really kind of going to bring in the 117 00:06:19,320 --> 00:06:21,760 Speaker 1: results that they're hoping it will. And remember that first 118 00:06:21,800 --> 00:06:24,560 Speaker 1: introducing this in Latin America, and Latin America is is 119 00:06:24,600 --> 00:06:28,599 Speaker 1: a very very price sensitive market. You have consumers who 120 00:06:28,600 --> 00:06:31,000 Speaker 1: are you know, where the elasticity demand is extremely high. 121 00:06:31,040 --> 00:06:33,680 Speaker 1: So I'm not really necessarily sure it's going to do 122 00:06:33,760 --> 00:06:36,400 Speaker 1: a whole lot in terms of boosting top line revenue. 123 00:06:36,760 --> 00:06:38,719 Speaker 1: That said, it's definitely a step in the right direction. 124 00:06:38,760 --> 00:06:40,279 Speaker 1: We'll have to wait and water and see how that 125 00:06:40,400 --> 00:06:43,920 Speaker 1: kind of plays out. Um, so yeah, I think they 126 00:06:43,920 --> 00:06:45,720 Speaker 1: are taking a lot of that. There are a lot 127 00:06:45,720 --> 00:06:50,120 Speaker 1: of good initiatives in in the in the pipeline. But again, 128 00:06:50,160 --> 00:06:52,960 Speaker 1: this is still very much a weight and watch story. 129 00:06:53,720 --> 00:06:56,520 Speaker 1: And one one of the interesting things with Ozark. I 130 00:06:56,520 --> 00:06:58,159 Speaker 1: guess that was one of the first where they sort 131 00:06:58,160 --> 00:07:01,200 Speaker 1: of delayed the final episodes or split it into and 132 00:07:01,200 --> 00:07:03,520 Speaker 1: it is not a strategy that kind of helps rather 133 00:07:03,560 --> 00:07:05,920 Speaker 1: than you know, blow everything out of the door at once, 134 00:07:05,960 --> 00:07:09,960 Speaker 1: that you sustain your subscribers. That's actually a great point, 135 00:07:10,000 --> 00:07:13,080 Speaker 1: and that staggered release schedule actually ted Sarandos just mentioned 136 00:07:13,080 --> 00:07:15,160 Speaker 1: this on the call. He said, the main reason for 137 00:07:15,200 --> 00:07:18,920 Speaker 1: the staggered release of you know, Stranger Things, for instance, 138 00:07:18,960 --> 00:07:22,200 Speaker 1: one uh one drop in in in May and the 139 00:07:22,240 --> 00:07:25,440 Speaker 1: second drop in July was really because they hadn't finished production. 140 00:07:25,480 --> 00:07:28,120 Speaker 1: They hadn't wrapped up production on all of it. Of course, 141 00:07:28,160 --> 00:07:31,000 Speaker 1: it does help, it does help with the with with 142 00:07:31,080 --> 00:07:35,000 Speaker 1: the subscriber churn numbers. And I'm just wondering, alright, we 143 00:07:35,000 --> 00:07:37,120 Speaker 1: we have to go You're one of our favorites love, 144 00:07:37,200 --> 00:07:40,080 Speaker 1: You are rung and often Bloomberg intelligence. This is Bloomberg