1 00:00:00,280 --> 00:00:07,200 Speaker 1: Bloomberg, Audio Studios, podcasts, radio news. 2 00:00:08,440 --> 00:00:12,800 Speaker 2: Another week, another AI induced panic in the markets. 3 00:00:13,240 --> 00:00:16,120 Speaker 3: An AI scare trade right now. We saw that sell 4 00:00:16,120 --> 00:00:19,000 Speaker 3: off over in the US, another AI scare grips of 5 00:00:19,000 --> 00:00:19,680 Speaker 3: the market. 6 00:00:19,440 --> 00:00:21,360 Speaker 2: And market is just taking a look around at any 7 00:00:21,400 --> 00:00:24,600 Speaker 2: possible sector that could be disrupted by AI, selling first. 8 00:00:24,360 --> 00:00:25,239 Speaker 4: Asking questions later. 9 00:00:25,920 --> 00:00:28,080 Speaker 2: Part of the reason for this week's sell off was 10 00:00:28,120 --> 00:00:31,480 Speaker 2: a thought experiment posted by a research group called Satrini 11 00:00:32,000 --> 00:00:35,239 Speaker 2: playing out some of the ways artificial intelligence could disrupt 12 00:00:35,320 --> 00:00:37,040 Speaker 2: the economy by twenty twenty. 13 00:00:36,760 --> 00:00:41,520 Speaker 1: Eight, Zaitrini Research publishing a hypothetical scenario where the agentic 14 00:00:41,560 --> 00:00:45,120 Speaker 1: AI commerce routing of retail payments up ends apparently the 15 00:00:45,320 --> 00:00:49,000 Speaker 1: E merchant subsidy businesses of names like American Express, Syncrity, 16 00:00:49,040 --> 00:00:50,839 Speaker 1: and Capital One, those names plunging. 17 00:00:51,880 --> 00:00:55,120 Speaker 2: The hypothetical scenario played into fears that have been rippling 18 00:00:55,120 --> 00:00:58,200 Speaker 2: through the market for a while, fears that AI could 19 00:00:58,240 --> 00:01:02,840 Speaker 2: make entire lines of Business Week with consequences for consumer spending, 20 00:01:03,040 --> 00:01:06,800 Speaker 2: real estate, and financial markets. One of the AI tools 21 00:01:06,840 --> 00:01:10,600 Speaker 2: getting attention right now is in thropics Claude Chatbop, which 22 00:01:10,680 --> 00:01:14,480 Speaker 2: promises to write code that businesses have traditionally paid programmers 23 00:01:14,600 --> 00:01:17,880 Speaker 2: or other companies to make Claude has even caught the 24 00:01:17,880 --> 00:01:20,920 Speaker 2: eye of the Pentagon, which is pressing Anthropic to give 25 00:01:20,920 --> 00:01:25,240 Speaker 2: it full access to the technology. On Tuesday, the company 26 00:01:25,280 --> 00:01:29,679 Speaker 2: released new features that had investors fearing further disruption. 27 00:01:30,040 --> 00:01:32,319 Speaker 3: That and thropping out with an update on Claude that 28 00:01:32,400 --> 00:01:35,640 Speaker 3: talked about modernizing the Cobol programming language of dated programming 29 00:01:35,680 --> 00:01:38,520 Speaker 3: language that IBM uses, and that set the IBM share 30 00:01:38,560 --> 00:01:41,080 Speaker 3: price down by thirteen percent. And so it sorts of 31 00:01:41,160 --> 00:01:43,520 Speaker 3: questions about where you could hide, if anywhere. 32 00:01:43,920 --> 00:01:46,600 Speaker 2: And there's a second concern in the market that some 33 00:01:46,640 --> 00:01:49,000 Speaker 2: of the biggest tech companies that place some of the 34 00:01:49,000 --> 00:01:52,600 Speaker 2: biggest bets on AI may not have enough to show 35 00:01:52,640 --> 00:01:52,920 Speaker 2: for it. 36 00:01:54,000 --> 00:01:57,440 Speaker 4: Most notably, you've seen all of the major hyperscalers. So 37 00:01:57,520 --> 00:02:01,200 Speaker 4: the companies that are really spending aggressively on AI, this 38 00:02:01,280 --> 00:02:06,160 Speaker 4: is your Microsoft, Meta Alphabet, Amazon. The market has become 39 00:02:06,240 --> 00:02:10,480 Speaker 4: a lot more impatient looking at this spending, wondering when 40 00:02:10,520 --> 00:02:12,800 Speaker 4: are we going to start seeing this money paying off. 41 00:02:13,280 --> 00:02:17,040 Speaker 2: Ryan Vlastilica covers tech stocks for Bloomberg, and he says 42 00:02:17,160 --> 00:02:20,720 Speaker 2: that as the AI scare trade grips the market, there's 43 00:02:20,800 --> 00:02:23,840 Speaker 2: one company that's been remarkably insulated. 44 00:02:24,080 --> 00:02:28,880 Speaker 4: Now Apple manages to be nowhere near either of these 45 00:02:29,000 --> 00:02:32,000 Speaker 4: central narratives right now. If you look at the two 46 00:02:32,480 --> 00:02:36,720 Speaker 4: major themes in the technology sector, it is concerns about 47 00:02:36,760 --> 00:02:39,920 Speaker 4: AI capex, which Apple isn't doing, and it's concerns about 48 00:02:39,960 --> 00:02:43,239 Speaker 4: AI related disruption, And it doesn't really seem like Apple 49 00:02:43,360 --> 00:02:45,800 Speaker 4: is really in the path of AI disruption in the 50 00:02:45,800 --> 00:02:48,840 Speaker 4: same way that you would say software companies are, or 51 00:02:49,040 --> 00:02:51,639 Speaker 4: just growing list of companies and sectors are as. 52 00:02:51,680 --> 00:02:54,560 Speaker 2: Most of the NASDAC has trended down in recent weeks, 53 00:02:54,720 --> 00:02:57,640 Speaker 2: Apple stock has often moved in the opposite direction. 54 00:02:58,040 --> 00:03:01,880 Speaker 4: The overall moves of the major ends aren't dictating the 55 00:03:01,880 --> 00:03:06,000 Speaker 4: way Apple moves. This has really been visible in days 56 00:03:06,000 --> 00:03:08,920 Speaker 4: when there's been a lot of AI related against in 57 00:03:08,960 --> 00:03:12,920 Speaker 4: the market. Things are down pretty broadly except for Apple, 58 00:03:13,280 --> 00:03:16,640 Speaker 4: which is up pretty solidly. So we've been describing this 59 00:03:16,680 --> 00:03:20,000 Speaker 4: as Apple decoupling itself from the broader market. 60 00:03:20,280 --> 00:03:23,680 Speaker 2: That's something Ryan says hasn't happened to this degree since 61 00:03:23,760 --> 00:03:25,120 Speaker 2: the days of the iPod. 62 00:03:25,400 --> 00:03:29,560 Speaker 4: This level of decoupling, we're at a nearly two decade long. 63 00:03:29,919 --> 00:03:33,440 Speaker 2: So far, AI jitters don't seem to be hitting Apple 64 00:03:33,520 --> 00:03:37,360 Speaker 2: as hard as its competitors, and Bloomberg's Apple reporter Mark 65 00:03:37,400 --> 00:03:40,000 Speaker 2: German says that's a mixed blessing. 66 00:03:40,360 --> 00:03:43,520 Speaker 5: If you asked Apple six months ago, would you like 67 00:03:43,600 --> 00:03:46,040 Speaker 5: to be an AI company at the forefront or not, 68 00:03:46,320 --> 00:03:50,240 Speaker 5: they would say yes. But they're extremely behind, not on 69 00:03:50,320 --> 00:03:52,000 Speaker 5: purpose but by accident. 70 00:03:56,400 --> 00:03:58,600 Speaker 2: I'm Sarah Holder, and this is the big take from 71 00:03:58,600 --> 00:04:02,400 Speaker 2: Bloomberg News today on the show Apple and the AI 72 00:04:02,560 --> 00:04:06,720 Speaker 2: scare trade. Is Apple a safe haven for investors freaking 73 00:04:06,760 --> 00:04:09,440 Speaker 2: out over AI? And is that a good thing for 74 00:04:09,480 --> 00:04:20,359 Speaker 2: the company long term? Bloomberg's Ryan Vlastilica says that Apple's 75 00:04:20,440 --> 00:04:24,800 Speaker 2: decoupling from the Nasdaq is notable because, if anything, Apple 76 00:04:24,800 --> 00:04:27,160 Speaker 2: has been a longtime market bellweather. 77 00:04:27,560 --> 00:04:30,000 Speaker 4: I think in a normal kind of environment, when you 78 00:04:30,040 --> 00:04:33,240 Speaker 4: don't have this sort of AI wildcard, it's pretty common 79 00:04:33,240 --> 00:04:36,839 Speaker 4: to see Apple moving somewhat more or less in line 80 00:04:36,880 --> 00:04:40,240 Speaker 4: with the overall market because it has sort of traditional 81 00:04:40,320 --> 00:04:44,800 Speaker 4: drivers like consumer spinning, consumers sentiment, overall growth rates. How 82 00:04:45,279 --> 00:04:48,080 Speaker 4: what is GDP doing right now? All those other factors now, 83 00:04:48,080 --> 00:04:50,760 Speaker 4: Applestock has been a pretty strong performer. That's why it's 84 00:04:50,760 --> 00:04:52,640 Speaker 4: one of the biggest companies in the world. 85 00:04:52,680 --> 00:04:55,720 Speaker 2: To understand just how far Apple has diverged from its 86 00:04:55,720 --> 00:04:58,840 Speaker 2: peers in the Nasdaq. Ryan looks at correlation. 87 00:04:59,279 --> 00:05:02,520 Speaker 4: Basically, you measured on a range of positive one to 88 00:05:02,640 --> 00:05:07,000 Speaker 4: negative one. So positive one would be complete correlation, two 89 00:05:07,279 --> 00:05:11,080 Speaker 4: different securities moving in complete synchronicity with each other, and 90 00:05:11,120 --> 00:05:14,920 Speaker 4: of course negative one would be complete inverse correlation. Say 91 00:05:15,000 --> 00:05:17,960 Speaker 4: oil prices in airline stocks, so if oil prices are 92 00:05:17,960 --> 00:05:20,360 Speaker 4: going up, airline stocks are probably going down, so that 93 00:05:20,400 --> 00:05:21,600 Speaker 4: would be inverse correlation. 94 00:05:22,040 --> 00:05:24,000 Speaker 2: And he applied that analysis to Apple. 95 00:05:24,520 --> 00:05:28,640 Speaker 4: So we charted out correlation between Apple and the NASTAQ 96 00:05:28,680 --> 00:05:31,839 Speaker 4: one hundred, which is primarily composed of these big tech companies. 97 00:05:32,200 --> 00:05:34,039 Speaker 4: If you want to put a number on it, it 98 00:05:34,040 --> 00:05:36,680 Speaker 4: fell to a correlation of think point two one. 99 00:05:37,040 --> 00:05:40,280 Speaker 2: That's a forty day average, and that zero point two 100 00:05:40,440 --> 00:05:43,880 Speaker 2: one from earlier in February was the lowest level since 101 00:05:43,920 --> 00:05:46,960 Speaker 2: two thousand and six. Ryan says it's bounced up a 102 00:05:47,000 --> 00:05:47,760 Speaker 2: little since then. 103 00:05:48,120 --> 00:05:51,560 Speaker 4: Apple is basically no correlation at all, which means it's 104 00:05:51,600 --> 00:05:54,760 Speaker 4: not really moving on the major themes that are driving 105 00:05:55,000 --> 00:05:57,040 Speaker 4: the overall index, the. 106 00:05:57,000 --> 00:06:01,560 Speaker 2: Big themes like the AI hype cycles and selloffs. Over 107 00:06:01,560 --> 00:06:04,440 Speaker 2: the past month, at least, Apple hasn't really been getting 108 00:06:04,480 --> 00:06:07,159 Speaker 2: caught up in the drama. While the mag seven is 109 00:06:07,240 --> 00:06:10,159 Speaker 2: down about four and a half percent so far in February, 110 00:06:10,560 --> 00:06:14,560 Speaker 2: Apple is up. That's after underperforming the MAG seven in 111 00:06:14,640 --> 00:06:18,200 Speaker 2: the longer term. Ryan says, there's a number of reasons 112 00:06:18,200 --> 00:06:18,480 Speaker 2: for this. 113 00:06:18,960 --> 00:06:21,400 Speaker 4: It's not a major spinder, and it doesn't seem like 114 00:06:21,440 --> 00:06:23,920 Speaker 4: it's really at risk of AI disruption in the way 115 00:06:23,920 --> 00:06:25,479 Speaker 4: that some of these other stocks are. 116 00:06:25,920 --> 00:06:28,280 Speaker 2: But that doesn't mean investors see a bet on Apple 117 00:06:28,400 --> 00:06:29,880 Speaker 2: as a bet against AI. 118 00:06:30,560 --> 00:06:32,760 Speaker 4: The fact that you can get all of these AI 119 00:06:32,920 --> 00:06:36,200 Speaker 4: services on the iPhone, the fact that people will be 120 00:06:36,360 --> 00:06:40,760 Speaker 4: accessing AI through the iPhone or other Apple products means 121 00:06:40,800 --> 00:06:44,160 Speaker 4: that if you are still optimistic about the potential of AI, 122 00:06:44,520 --> 00:06:47,679 Speaker 4: Apple isn't a terrible way to play that thesis, because 123 00:06:47,720 --> 00:06:52,000 Speaker 4: it is something that could see as AI proliferates increased 124 00:06:52,200 --> 00:06:55,400 Speaker 4: growth or adoption. People aren't going to start abandoning their 125 00:06:55,440 --> 00:06:58,200 Speaker 4: phones on account of this issue. As somebody told me, 126 00:06:58,520 --> 00:07:00,839 Speaker 4: no one is out there vibe coding of a new iPhone 127 00:07:00,839 --> 00:07:01,479 Speaker 4: for themselves. 128 00:07:01,920 --> 00:07:04,080 Speaker 2: So it's clear that investors are treating Apple as a 129 00:07:04,080 --> 00:07:06,200 Speaker 2: bit of an outlier right now, But it's not as 130 00:07:06,200 --> 00:07:08,880 Speaker 2: simple as Apple going up. While others are going down. 131 00:07:08,920 --> 00:07:11,240 Speaker 2: Apple shares have had their own ups and downs even 132 00:07:11,280 --> 00:07:14,240 Speaker 2: over the past two weeks. They're just out of sync 133 00:07:14,400 --> 00:07:17,160 Speaker 2: in this way that you're describing. Can this be explained 134 00:07:17,160 --> 00:07:20,800 Speaker 2: by investors seeing Apple as this kind of hedge against 135 00:07:20,920 --> 00:07:23,280 Speaker 2: AI bets or are they also responding to other kinds 136 00:07:23,280 --> 00:07:24,800 Speaker 2: of news coming out of the company. 137 00:07:25,080 --> 00:07:27,200 Speaker 4: I do think a lot of it is Apple's sort 138 00:07:27,240 --> 00:07:30,240 Speaker 4: of insulation from some of these a cross currents. 139 00:07:30,240 --> 00:07:30,360 Speaker 5: Now. 140 00:07:30,360 --> 00:07:33,080 Speaker 4: I was speaking to someone who basically said, the fact 141 00:07:33,120 --> 00:07:35,520 Speaker 4: that correlation is so low with the broader market does 142 00:07:35,600 --> 00:07:38,880 Speaker 4: kind of increase its value as sort of diversification within 143 00:07:38,960 --> 00:07:41,640 Speaker 4: the overall market, especially since you do have this sort 144 00:07:41,680 --> 00:07:45,679 Speaker 4: of AI upside optionality from the fact that if AI 145 00:07:45,840 --> 00:07:48,760 Speaker 4: really proliferates and everyone is using it, maybe that needs 146 00:07:48,840 --> 00:07:52,200 Speaker 4: more demand for the next generation of iPhone or other 147 00:07:52,240 --> 00:07:54,440 Speaker 4: Apple products like that, so you can use these things 148 00:07:54,760 --> 00:07:56,800 Speaker 4: on the most advanced hardware that you can get. 149 00:07:57,440 --> 00:07:59,200 Speaker 2: Yes, and we'll talk to Mark about some of the 150 00:07:59,200 --> 00:08:02,160 Speaker 2: ways that Apple is investing in AI moving forward and 151 00:08:02,200 --> 00:08:05,320 Speaker 2: how it's AI bets have gone so far. But I'm 152 00:08:05,320 --> 00:08:09,640 Speaker 2: wondering why this decoupling matters right now. What does it 153 00:08:09,680 --> 00:08:13,000 Speaker 2: reveal about how investors are viewing the AI race more 154 00:08:13,040 --> 00:08:16,560 Speaker 2: broadly because these two fears that you laid out, that 155 00:08:16,600 --> 00:08:19,400 Speaker 2: companies are spending too much on AI or that AI 156 00:08:19,520 --> 00:08:21,760 Speaker 2: is going to disrupt all these software companies, they feel 157 00:08:21,760 --> 00:08:23,640 Speaker 2: a little bit in intention. 158 00:08:24,200 --> 00:08:26,000 Speaker 4: Yes, I think you're right about that. I think there 159 00:08:26,080 --> 00:08:28,040 Speaker 4: is a lot of concern right now about when are 160 00:08:28,040 --> 00:08:30,080 Speaker 4: we going to see this payoff? And at the same time, 161 00:08:30,280 --> 00:08:32,679 Speaker 4: is this going to destroy everything? So those two narrios 162 00:08:32,720 --> 00:08:35,640 Speaker 4: have been very much president in the market, and you're 163 00:08:35,720 --> 00:08:37,760 Speaker 4: right that there might be some tension. But I think 164 00:08:37,800 --> 00:08:39,920 Speaker 4: people if you're looking around and you're trying to find 165 00:08:39,920 --> 00:08:42,679 Speaker 4: something that feels like a safe bet right now, Apple 166 00:08:42,760 --> 00:08:46,040 Speaker 4: is sort of a kind of obvious place, especially within 167 00:08:46,080 --> 00:08:48,280 Speaker 4: big tech, to look for something like that. 168 00:08:49,679 --> 00:08:52,760 Speaker 2: Coming up. Bloomberg's Mark German on how a series of 169 00:08:52,840 --> 00:08:56,400 Speaker 2: missteps and missed opportunities put Apple in this position in 170 00:08:56,440 --> 00:08:59,120 Speaker 2: the first place, and what the company is doing to 171 00:08:59,200 --> 00:09:09,920 Speaker 2: catch up on AI. This Winter Olympics, there was a 172 00:09:10,000 --> 00:09:12,880 Speaker 2: video going around from the two thousand and two Winter 173 00:09:13,000 --> 00:09:16,400 Speaker 2: Games in Salt Lake City. It was that year's thousand 174 00:09:16,400 --> 00:09:19,840 Speaker 2: meters short track speed skating final, and it's relevant to 175 00:09:19,840 --> 00:09:20,880 Speaker 2: today's AI race. 176 00:09:21,120 --> 00:09:24,520 Speaker 4: I promise this is a nine lap race and now 177 00:09:24,559 --> 00:09:27,439 Speaker 4: it's only one man across the line for gold, it'll 178 00:09:27,480 --> 00:09:27,719 Speaker 4: be over. 179 00:09:27,760 --> 00:09:32,760 Speaker 2: In ninety six, five skaters were competed, including Apollo Ono, 180 00:09:33,080 --> 00:09:37,080 Speaker 2: the American speed skating icon. By the final lap, Ono 181 00:09:37,120 --> 00:09:39,560 Speaker 2: is at the head of a tight pass and an 182 00:09:39,559 --> 00:09:44,000 Speaker 2: Australian skater, Stephen Bradbury, is dead last. But then something 183 00:09:44,480 --> 00:09:50,360 Speaker 2: remarkable happens and the other three leading skaters topple onto 184 00:09:50,400 --> 00:09:51,000 Speaker 2: the ice. 185 00:09:52,280 --> 00:09:56,800 Speaker 4: Say brad your class the line. 186 00:09:56,000 --> 00:10:00,280 Speaker 2: And Bradbury glides past them for the gold, Australia's first 187 00:10:00,320 --> 00:10:03,720 Speaker 2: in the Winter Games. To this day, when somebody wins 188 00:10:03,760 --> 00:10:06,839 Speaker 2: because the rest of the field has flamed out, Australians 189 00:10:06,880 --> 00:10:11,320 Speaker 2: call it doing a Bradbury. I wanted to bring Bloomberg's 190 00:10:11,400 --> 00:10:15,880 Speaker 2: chief Apple correspondent, Mark German into the conversation and ask him, 191 00:10:16,240 --> 00:10:20,840 Speaker 2: with Apple getting investor love for effectively being behind in AI, 192 00:10:21,600 --> 00:10:23,600 Speaker 2: is the company doing a Bradbury? 193 00:10:23,920 --> 00:10:26,360 Speaker 5: Well, if they're doing a Bradberry, I think they fell 194 00:10:26,400 --> 00:10:29,640 Speaker 5: backwards into it, because the plan certainly wasn't for them 195 00:10:29,679 --> 00:10:32,520 Speaker 5: to do a Bradbury. The reality is is that Apple 196 00:10:32,600 --> 00:10:35,640 Speaker 5: was caught flat footed, and so yes, they're getting the 197 00:10:35,679 --> 00:10:38,200 Speaker 5: benefit on the stock right now because of that. But 198 00:10:38,920 --> 00:10:42,560 Speaker 5: that's not a good thing for the long term business 199 00:10:42,920 --> 00:10:46,600 Speaker 5: being so behind in a core technology, and we're talking 200 00:10:46,679 --> 00:10:49,480 Speaker 5: about the core technology of all core technologies here. 201 00:10:50,080 --> 00:10:54,080 Speaker 2: So right Apple has trailed its magnificent seven peers pretty significantly, 202 00:10:54,120 --> 00:10:57,240 Speaker 2: at least when it comes to spending on AI, even 203 00:10:57,240 --> 00:10:59,920 Speaker 2: though the company famously is sitting on a lot of cash. 204 00:11:00,360 --> 00:11:03,839 Speaker 2: So when you think about Apple's position right now, how 205 00:11:03,920 --> 00:11:06,760 Speaker 2: much of the you know, separation from the pack is 206 00:11:06,880 --> 00:11:10,520 Speaker 2: due to a strategy or is it a result of 207 00:11:10,800 --> 00:11:11,959 Speaker 2: a failed strategy? 208 00:11:12,280 --> 00:11:14,959 Speaker 5: Oh, I absolutely think it's the result of failed strategy. 209 00:11:15,400 --> 00:11:18,720 Speaker 5: And then they've seen how these other companies are having 210 00:11:18,720 --> 00:11:21,120 Speaker 5: their own financial issues and their own problems, and they said, 211 00:11:21,480 --> 00:11:23,200 Speaker 5: you know, maybe it's kind of a good thing that 212 00:11:23,240 --> 00:11:25,920 Speaker 5: we failed, So maybe let's turn the failed strategy into 213 00:11:25,960 --> 00:11:28,760 Speaker 5: our strategy. Is that what's happening I think to some extent. 214 00:11:28,880 --> 00:11:31,079 Speaker 2: Yeah, is that what you're hearing from people at Apple 215 00:11:31,120 --> 00:11:32,920 Speaker 2: that they want to lean into this now? 216 00:11:33,040 --> 00:11:35,000 Speaker 5: Well, no, I haven't heard specifically they want to lead 217 00:11:35,040 --> 00:11:37,080 Speaker 5: into it, but they're you know, very careful when it 218 00:11:37,080 --> 00:11:40,160 Speaker 5: comes to investing. They've had opportunities to buy you know, 219 00:11:40,240 --> 00:11:44,360 Speaker 5: major AI companies like Mistral out of France and Perplexity, 220 00:11:44,440 --> 00:11:47,800 Speaker 5: that search engine AI app, and they've chosen not to 221 00:11:47,840 --> 00:11:51,480 Speaker 5: make those major investments. They're partnering with Google to help 222 00:11:51,520 --> 00:11:55,080 Speaker 5: them build their own new Apple Foundation model using Gemini. 223 00:11:55,240 --> 00:11:57,959 Speaker 5: So they're going at it very slow after trying to 224 00:11:58,040 --> 00:12:00,000 Speaker 5: race into it and it blowing up in their faces. 225 00:12:00,200 --> 00:12:04,720 Speaker 5: I mean, Apple Intelligence lags behind the competition significantly. They've 226 00:12:04,760 --> 00:12:06,960 Speaker 5: been trying to release this new version of Siri now 227 00:12:07,000 --> 00:12:09,960 Speaker 5: for two years that uses AI to let you tap 228 00:12:10,000 --> 00:12:13,319 Speaker 5: into your personal data and on screen content and control 229 00:12:13,360 --> 00:12:16,080 Speaker 5: applications in a more precise way. It's going to take 230 00:12:16,120 --> 00:12:18,680 Speaker 5: them another you know, three to six months, maybe even 231 00:12:18,720 --> 00:12:21,080 Speaker 5: longer to get those features out. They're not going to 232 00:12:21,120 --> 00:12:23,560 Speaker 5: launch their first chatbot into the tail end of this year, 233 00:12:23,720 --> 00:12:27,000 Speaker 5: so they're definitely behind by any metric, and trust me, 234 00:12:27,120 --> 00:12:28,360 Speaker 5: it wasn't supposed to be this way. 235 00:12:28,679 --> 00:12:31,800 Speaker 2: In some ways, Apple is being rewarded by investors for that. 236 00:12:32,240 --> 00:12:36,319 Speaker 2: Can you talk more about how you're viewing this decoupling dynamic. 237 00:12:36,600 --> 00:12:41,199 Speaker 5: I think investors have realized that Apple is failing in AI, 238 00:12:42,040 --> 00:12:45,400 Speaker 5: and they're seeing Apple as a company that's very focused 239 00:12:45,440 --> 00:12:48,000 Speaker 5: on the hardware, and if you look at you know 240 00:12:48,200 --> 00:12:52,720 Speaker 5: investments and portfolio diversification. You know, Apple really is not 241 00:12:52,840 --> 00:12:55,719 Speaker 5: an AI company. It's a hardware company, whereas all these 242 00:12:55,760 --> 00:12:59,319 Speaker 5: other companies have become AI companies. And it's not the 243 00:12:59,320 --> 00:13:01,199 Speaker 5: way it was supposed to be. Apple was supposed to 244 00:13:01,240 --> 00:13:04,280 Speaker 5: become an AI company by now, but it's diversified because 245 00:13:04,280 --> 00:13:04,880 Speaker 5: it's simply not. 246 00:13:06,000 --> 00:13:08,400 Speaker 2: How does the company think about its place in the 247 00:13:08,440 --> 00:13:09,040 Speaker 2: AI race. 248 00:13:09,360 --> 00:13:11,920 Speaker 5: It depends who you're asking, It depends when you're asking them. 249 00:13:12,000 --> 00:13:14,920 Speaker 5: If you ask them in an official setting, they'll probably 250 00:13:14,920 --> 00:13:16,560 Speaker 5: tell you that they think they're doing a great job 251 00:13:16,559 --> 00:13:20,280 Speaker 5: in AI. The reality is is that they're trailing all 252 00:13:20,320 --> 00:13:25,040 Speaker 5: their competitors in AI. Their lms are subpar, their models 253 00:13:25,480 --> 00:13:28,640 Speaker 5: for all intentsive purposes or subpar. Their integration of AI 254 00:13:28,760 --> 00:13:32,800 Speaker 5: across the software stack is subpar. They're only really getting 255 00:13:32,800 --> 00:13:36,160 Speaker 5: religion now on using AI to run the company, so 256 00:13:36,200 --> 00:13:37,680 Speaker 5: they are very much far behind. 257 00:13:37,840 --> 00:13:40,760 Speaker 2: Apple has declined to comment on Bloomberg's reporting about these 258 00:13:40,840 --> 00:13:41,640 Speaker 2: AI efforts. 259 00:13:42,120 --> 00:13:46,080 Speaker 5: Will they turn things around, Absolutely, But will they be 260 00:13:46,160 --> 00:13:48,880 Speaker 5: pushed to the forefront. No. But I think with the 261 00:13:48,960 --> 00:13:52,080 Speaker 5: right combination of models and the combination of their hardware, 262 00:13:52,320 --> 00:13:55,040 Speaker 5: I think from an AI hardware perspective, they could definitely 263 00:13:55,080 --> 00:13:55,600 Speaker 5: be a leader. 264 00:13:56,240 --> 00:13:59,000 Speaker 2: Well, Apple does have several AI hardware products on their way. 265 00:13:59,000 --> 00:14:00,320 Speaker 2: Tell me a little bit more about those. 266 00:14:00,600 --> 00:14:03,920 Speaker 5: So they're working on three main ones. One is a 267 00:14:04,000 --> 00:14:06,959 Speaker 5: version of air pods with cameras, One is smart classes 268 00:14:07,000 --> 00:14:10,000 Speaker 5: with cameras, and one is a necklace slash pendant that 269 00:14:10,000 --> 00:14:11,640 Speaker 5: you can wear on your shirt or run your neck 270 00:14:11,640 --> 00:14:14,840 Speaker 5: with cameras. And the idea is to use visual intelligence 271 00:14:14,880 --> 00:14:18,160 Speaker 5: the environment around you to feed data into sery for 272 00:14:18,200 --> 00:14:21,280 Speaker 5: it to help you take action. One classic example is 273 00:14:21,400 --> 00:14:23,360 Speaker 5: you know, right now, if you're wearing air pods or 274 00:14:23,440 --> 00:14:25,920 Speaker 5: using an Apple device while on a walk and you 275 00:14:25,960 --> 00:14:28,120 Speaker 5: have turned by turn directions on in maps, it'll tell 276 00:14:28,160 --> 00:14:30,360 Speaker 5: you, you know, make a turn four hundred and fifty feet 277 00:14:30,640 --> 00:14:33,720 Speaker 5: or in one mile or whatever. Now it could tell 278 00:14:33,760 --> 00:14:37,160 Speaker 5: you make a right turn past the gray three story 279 00:14:37,200 --> 00:14:40,520 Speaker 5: building because it can see what's around you, not only 280 00:14:40,760 --> 00:14:41,520 Speaker 5: no distances. 281 00:14:41,800 --> 00:14:44,160 Speaker 2: So it's not investing in chapbots to the same scale 282 00:14:44,200 --> 00:14:46,160 Speaker 2: as some of its competitors, but it is investing in 283 00:14:46,200 --> 00:14:49,040 Speaker 2: these hardware products. Can you talk about how that's a 284 00:14:49,080 --> 00:14:51,960 Speaker 2: different strategy than some of the other mag seven companies 285 00:14:52,080 --> 00:14:55,160 Speaker 2: and why you think it's developed that way, Well, they. 286 00:14:55,040 --> 00:14:57,640 Speaker 5: Are building a chatbot. They are going to revamp theory 287 00:14:57,680 --> 00:15:00,400 Speaker 5: around this chatbot type of interface later this year and 288 00:15:00,720 --> 00:15:05,520 Speaker 5: deeply integrate these Gemini models across iOS, IPOs and macOS 289 00:15:05,560 --> 00:15:07,320 Speaker 5: with the next major versions that are going to be 290 00:15:07,320 --> 00:15:09,280 Speaker 5: introduced in June and released in September. 291 00:15:09,320 --> 00:15:10,680 Speaker 2: But they're late on that front. 292 00:15:10,880 --> 00:15:14,480 Speaker 5: Yeah, they're you know, pretty late. And then in terms 293 00:15:14,480 --> 00:15:17,280 Speaker 5: of hardware, you know, Apple makes eighty percent of the 294 00:15:17,360 --> 00:15:20,600 Speaker 5: revenue from products. They're a hardware business. They have not 295 00:15:20,760 --> 00:15:23,240 Speaker 5: really shown a way that they're going to be able 296 00:15:23,280 --> 00:15:26,280 Speaker 5: to monetize AI in the near future from a software 297 00:15:26,400 --> 00:15:28,600 Speaker 5: stack standpoint, and so the only way they're going to 298 00:15:28,600 --> 00:15:31,920 Speaker 5: be able to monetize AI to any considerable degree for 299 00:15:32,000 --> 00:15:34,840 Speaker 5: the underlying business is going to be through hardware. So 300 00:15:34,880 --> 00:15:37,840 Speaker 5: from that standpoint, AI hardware is the game in town 301 00:15:37,920 --> 00:15:39,920 Speaker 5: for Apple to augment iPhone revenue. 302 00:15:40,560 --> 00:15:43,080 Speaker 2: So if investors get past their ditters about AI and 303 00:15:43,080 --> 00:15:46,080 Speaker 2: they decide in whatever way that the technology will be 304 00:15:46,160 --> 00:15:51,000 Speaker 2: transformative will support high company valuations and massive spending, what 305 00:15:51,040 --> 00:15:52,520 Speaker 2: does it mean for Apple from. 306 00:15:52,440 --> 00:15:57,040 Speaker 5: An investment standpoint? I just don't see how Apple being 307 00:15:57,120 --> 00:16:00,880 Speaker 5: so behind and not showing any engineer in terms of 308 00:16:00,920 --> 00:16:04,960 Speaker 5: AI makes them an interesting company to invest in right 309 00:16:05,280 --> 00:16:08,080 Speaker 5: They're an interesting company to invest in because everyone knows 310 00:16:08,080 --> 00:16:10,360 Speaker 5: they're going to come out with great hardware. Everyone knows 311 00:16:10,560 --> 00:16:13,360 Speaker 5: that they're forecasting solid results for the current quarter. Everyone 312 00:16:13,400 --> 00:16:15,480 Speaker 5: knows they're going to continue making a ton of money 313 00:16:15,760 --> 00:16:20,120 Speaker 5: on the devices. But in terms of future upside, it's 314 00:16:20,200 --> 00:16:26,280 Speaker 5: just not exciting to investors right now in my view. 315 00:16:27,400 --> 00:16:30,360 Speaker 2: This is the Big Take from Bloomberg News. I'm Sarah Holder. 316 00:16:30,720 --> 00:16:33,320 Speaker 2: To get more from The Big Take and unlimited access 317 00:16:33,360 --> 00:16:37,239 Speaker 2: to all of Bloomberg dot com, subscribe today at Bloomberg 318 00:16:37,280 --> 00:16:40,760 Speaker 2: dot com Slash podcast Offer. If you liked this episode, 319 00:16:40,880 --> 00:16:43,520 Speaker 2: make sure to subscribe and review The Big Take wherever 320 00:16:43,560 --> 00:16:46,440 Speaker 2: you listen to podcasts. It helps people find the show. 321 00:16:47,240 --> 00:16:49,240 Speaker 2: Thanks for listening. We'll be back tomorrow