1 00:00:00,080 --> 00:00:03,040 Speaker 1: All right, So this is when you know Tesla is 2 00:00:03,080 --> 00:00:06,920 Speaker 1: not just a technology company, it's an actual automobile manufacturer. 3 00:00:06,920 --> 00:00:11,760 Speaker 1: That's when the National Highway Traffic Safety Administration recalls two 4 00:00:11,760 --> 00:00:15,080 Speaker 1: million cars from Tesla. Let's see what this means for 5 00:00:15,400 --> 00:00:18,000 Speaker 1: the company for the stock. Dan ives he's a senior 6 00:00:18,000 --> 00:00:20,320 Speaker 1: equity analyst at what Bush Securities. He joins us on 7 00:00:20,360 --> 00:00:23,599 Speaker 1: the phone here, Hey, Dan, I know you're a tech guy, 8 00:00:24,120 --> 00:00:26,800 Speaker 1: but you're now an auto guy too, metal bender, you 9 00:00:26,880 --> 00:00:29,600 Speaker 1: got to deal with recalls for one of your companies. 10 00:00:29,840 --> 00:00:31,720 Speaker 1: What do you make of this for Tesla? 11 00:00:33,040 --> 00:00:33,240 Speaker 2: Yeah? 12 00:00:33,320 --> 00:00:37,440 Speaker 3: Look, I think this has been an overhang for Tesla 13 00:00:37,520 --> 00:00:41,800 Speaker 3: for years, and it's an Ota update, It's a software updas. 14 00:00:42,120 --> 00:00:44,839 Speaker 3: I think it's important it gets it's going to get Tesla, 15 00:00:45,040 --> 00:00:47,519 Speaker 3: Cluiser and Clusor to what I believe is going to 16 00:00:47,560 --> 00:00:50,720 Speaker 3: be full self driving in the next few years. And 17 00:00:50,760 --> 00:00:52,920 Speaker 3: I think this is something they had to get over 18 00:00:53,479 --> 00:00:57,000 Speaker 3: to resolve to actually move forward into twenty twenty four. 19 00:00:57,840 --> 00:00:59,880 Speaker 2: Dan, I want to get to the tech that's out there. 20 00:01:00,160 --> 00:01:02,480 Speaker 2: Just met and mentioning a Microsoft by here looking on 21 00:01:02,600 --> 00:01:04,120 Speaker 2: three years. I want to get to that. But first, 22 00:01:04,160 --> 00:01:07,960 Speaker 2: one more question on Tesla on the Bloomberg. The Tesla 23 00:01:08,080 --> 00:01:12,000 Speaker 2: multiple is seventy six, the GM multiple is I think 24 00:01:12,120 --> 00:01:16,360 Speaker 2: eight or nine. Doesn't don't they just by definition of 25 00:01:16,440 --> 00:01:19,680 Speaker 2: margin compression out three years or five years if the 26 00:01:19,720 --> 00:01:22,839 Speaker 2: Tesla experiment works. 27 00:01:23,560 --> 00:01:27,000 Speaker 3: Yeah, Look, I think that's the common Detroit because ultimately 28 00:01:27,959 --> 00:01:31,080 Speaker 3: I believe margins will expand over the next few years. 29 00:01:31,160 --> 00:01:34,320 Speaker 3: Battery technology, they have scalonsc that's on matts and that's 30 00:01:34,319 --> 00:01:37,600 Speaker 3: why you're seeing Marry at GM and Barley and Board. 31 00:01:37,680 --> 00:01:40,040 Speaker 3: Maybe he just kept right in terms of the easy 32 00:01:40,160 --> 00:01:43,840 Speaker 3: strategy given where Tea is that shadow. 33 00:01:43,760 --> 00:01:46,720 Speaker 2: With us Dana Eyes, Webbush and I just got to say, folks, 34 00:01:46,760 --> 00:01:50,000 Speaker 2: in this year of the Magnificent seven, he has been 35 00:01:50,480 --> 00:01:53,480 Speaker 2: the magnificent analyst. There's no There's others that have been 36 00:01:53,520 --> 00:01:56,720 Speaker 2: bullish like Dan Eyes, but no one has carried the 37 00:01:56,760 --> 00:02:00,400 Speaker 2: torch of the Magnificent seven like mister Ives. We heard 38 00:02:00,440 --> 00:02:03,760 Speaker 2: a rating there from Jeff Matton of Microsoft with a 39 00:02:03,880 --> 00:02:06,680 Speaker 2: vision out three years, which is up up in a way. 40 00:02:07,160 --> 00:02:11,040 Speaker 2: How do you frame the Magnificent seven out three years 41 00:02:11,400 --> 00:02:12,600 Speaker 2: or five years? 42 00:02:13,000 --> 00:02:15,280 Speaker 3: And yeah, and Tom, you've talked about this. I mean, 43 00:02:15,880 --> 00:02:18,960 Speaker 3: is it four is it five trillion? I believe two three, 44 00:02:19,040 --> 00:02:22,200 Speaker 3: years from now, we're going to be talking about four 45 00:02:22,320 --> 00:02:25,280 Speaker 3: trillion and five trillion for some of these names. I 46 00:02:25,320 --> 00:02:28,680 Speaker 3: think Microsoft by twenty twenty five is a four trillion 47 00:02:28,720 --> 00:02:31,400 Speaker 3: dollars market. I think Apple hits it, you know, by 48 00:02:31,440 --> 00:02:34,800 Speaker 3: the end of twenty twenty four, because it's a golden 49 00:02:34,840 --> 00:02:37,280 Speaker 3: age for tech, and I think more and more market 50 00:02:37,280 --> 00:02:40,440 Speaker 3: share games you're gonna see. And in my opinion, this 51 00:02:40,560 --> 00:02:43,600 Speaker 3: is just the start of this new tech bow market, 52 00:02:44,080 --> 00:02:46,040 Speaker 3: not just for example, the rest of tech. 53 00:02:46,240 --> 00:02:48,400 Speaker 2: Okay, see if a want on one Joel Fish buying 54 00:02:48,480 --> 00:02:52,240 Speaker 2: over truist securities with a three year vision on Microsoft, 55 00:02:52,440 --> 00:02:54,720 Speaker 2: are we going to be so old foggy Dan that 56 00:02:54,800 --> 00:02:58,079 Speaker 2: you're going to be wearing a blue suit a white tie, 57 00:02:58,120 --> 00:03:00,840 Speaker 2: look like you're working at IBM, and we're going back 58 00:03:01,080 --> 00:03:04,480 Speaker 2: to win sweet as a chap with actual three year 59 00:03:04,680 --> 00:03:06,040 Speaker 2: vision on equities. 60 00:03:07,400 --> 00:03:11,480 Speaker 3: Look, I think what they're doing there is trying to 61 00:03:11,560 --> 00:03:14,360 Speaker 3: show far through the trees. If you start to take 62 00:03:14,560 --> 00:03:20,160 Speaker 3: AI and put it into Microsoft's valuation, they're ultimately Microsoft. 63 00:03:20,480 --> 00:03:23,919 Speaker 3: It could it eclipse Apple down the road. And that's 64 00:03:23,919 --> 00:03:28,160 Speaker 3: why right now in Nedella and Redmond, they're really owning 65 00:03:28,240 --> 00:03:32,000 Speaker 3: an AI torch. And that's why Jassie, Aws, Google, Work Live, 66 00:03:32,080 --> 00:03:35,160 Speaker 3: dm all chasing them. I think this is the biggest 67 00:03:35,240 --> 00:03:38,360 Speaker 3: tet transformation thirty years and it's get out the popcorn, 68 00:03:38,440 --> 00:03:40,360 Speaker 3: just start, Hey, Dan. 69 00:03:41,360 --> 00:03:42,840 Speaker 1: One of the risks out there, and I have no 70 00:03:42,920 --> 00:03:46,600 Speaker 1: idea how to handicap it is regulatory risk. If I'm 71 00:03:46,600 --> 00:03:49,440 Speaker 1: sitting in Congress and I know you know one one 72 00:03:49,520 --> 00:03:52,560 Speaker 1: hundredth of what you know about technology, I can see 73 00:03:52,560 --> 00:03:55,200 Speaker 1: that these companies are big, They're getting bigger. We have 74 00:03:55,200 --> 00:03:58,880 Speaker 1: analysts talking about three four five billion trillion dollar market caps. 75 00:03:59,520 --> 00:04:02,800 Speaker 1: How do you game out the regulatory risk for some 76 00:04:02,840 --> 00:04:05,000 Speaker 1: of these big tech industries companies? 77 00:04:06,040 --> 00:04:08,280 Speaker 3: Well, look, I mean I spent you know, the last 78 00:04:08,280 --> 00:04:10,400 Speaker 3: few weeks of out of time in DC, and I'd 79 00:04:10,440 --> 00:04:14,279 Speaker 3: say regulatory is an issue, but it's a lack of consensus. 80 00:04:14,360 --> 00:04:16,920 Speaker 3: Regulatory is going twenty miles an hour in the right 81 00:04:17,000 --> 00:04:21,000 Speaker 3: lane in a minifare, the technology's going in a ferrari 82 00:04:21,360 --> 00:04:24,120 Speaker 3: at one hundred miles in the left. And I think 83 00:04:25,560 --> 00:04:28,799 Speaker 3: that's really the issue here is that allows me self regulation. 84 00:04:28,960 --> 00:04:32,599 Speaker 3: And look, the STC con it's been black eye after 85 00:04:32,720 --> 00:04:36,560 Speaker 3: Blacky Tech does not hear con the SDC anymore. And 86 00:04:36,640 --> 00:04:38,560 Speaker 3: I believe that means there's going to be a tidal 87 00:04:38,600 --> 00:04:41,400 Speaker 3: wave of M and A in twenty twenty four. 88 00:04:42,360 --> 00:04:44,520 Speaker 1: Really, but I can't imagine any of the big tech 89 00:04:44,600 --> 00:04:47,640 Speaker 1: names like a Microsoft, like an Amazon, like a Google 90 00:04:48,320 --> 00:04:52,640 Speaker 1: being involved. Or do you or do you think so? Oh? 91 00:04:52,720 --> 00:04:55,640 Speaker 3: I believe, I mean, I believe we will see big 92 00:04:55,720 --> 00:04:58,880 Speaker 3: tech do more M and A from Magnificent seven terms 93 00:04:59,000 --> 00:05:03,360 Speaker 3: AI cyber software, and I think this is something where 94 00:05:03,400 --> 00:05:05,720 Speaker 3: we're going to see a change here in terms of 95 00:05:05,760 --> 00:05:08,600 Speaker 3: the M and A landscape, given this game at Brunes 96 00:05:08,600 --> 00:05:09,360 Speaker 3: that's playing out 97 00:05:09,480 --> 00:05:11,800 Speaker 1: All right, Dan, I've the best, Dan, I have senior 98 00:05:11,800 --> 00:05:14,000 Speaker 1: analyst covering all the tech stuff for win More Securities