1 00:00:02,520 --> 00:00:09,960 Speaker 1: Bloomberg Audio Studios, podcasts, radio news, The Stock Movers Report, 2 00:00:10,280 --> 00:00:13,520 Speaker 1: your roundup of companies making moves in the stock market 3 00:00:13,680 --> 00:00:15,880 Speaker 1: harnessing the power of Bloomberg Data. 4 00:00:16,480 --> 00:00:18,119 Speaker 2: Let's take a look some of the stocks on the 5 00:00:18,160 --> 00:00:20,720 Speaker 2: move today on Paul Sweeney alongside Alexis Christophers, and we're 6 00:00:20,760 --> 00:00:22,599 Speaker 2: joined by Bloomber's John Tucker. John, what are you have 7 00:00:22,680 --> 00:00:23,040 Speaker 2: for us today? 8 00:00:23,160 --> 00:00:26,080 Speaker 3: You ever hear of Manis now? Neither of I Well, 9 00:00:26,120 --> 00:00:30,520 Speaker 3: Meta Platforms has agreed to buy Manus. This is based 10 00:00:30,640 --> 00:00:34,239 Speaker 3: in Singapore. It's an artificial intelligence agent. They also have 11 00:00:34,360 --> 00:00:37,760 Speaker 3: Chinese roots, which is kind of interesting. So Meta this 12 00:00:37,840 --> 00:00:39,840 Speaker 3: is part of the effort to build a business around 13 00:00:39,880 --> 00:00:45,839 Speaker 3: the massive AI investment that mister Zuckerberg has undertaken. The 14 00:00:45,880 --> 00:00:48,839 Speaker 3: deal right now values Manus at some two billion dollars 15 00:00:49,440 --> 00:00:52,680 Speaker 3: and it's a pretty rare US acquisition of an Asian 16 00:00:52,720 --> 00:00:56,920 Speaker 3: tech company, the latest multi billion dollar AI bet from Zuckerberg. 17 00:00:57,160 --> 00:01:00,880 Speaker 3: The agreement was struck in only about ten days. What 18 00:01:00,960 --> 00:01:04,480 Speaker 3: Meta plans to do is to continue operating and selling 19 00:01:04,480 --> 00:01:07,920 Speaker 3: the man of service while also integrating it into its 20 00:01:08,000 --> 00:01:12,360 Speaker 3: own particts. Now the Manus AI agent can complete a 21 00:01:12,400 --> 00:01:18,240 Speaker 3: handful of some general tasks like screening resumes, creating trip itineraries, 22 00:01:18,680 --> 00:01:23,319 Speaker 3: analyzing stocks. Well, yeah, in response to basic instructions, maybe 23 00:01:23,319 --> 00:01:26,160 Speaker 3: it can replace me at some point. It's backed by 24 00:01:26,160 --> 00:01:30,440 Speaker 3: some of Chinese's biggest names, like Tensent Holdings. Man has 25 00:01:30,480 --> 00:01:33,720 Speaker 3: shot to prominence earlier this year, not long after the 26 00:01:33,720 --> 00:01:37,760 Speaker 3: debut of Deep Seek. All of its existing investors have 27 00:01:37,840 --> 00:01:40,920 Speaker 3: been brought out in bought out, that is, in metas takeover. 28 00:01:41,920 --> 00:01:48,080 Speaker 3: Zuckerberg has made AI his investors the top priority, spending 29 00:01:48,120 --> 00:01:52,000 Speaker 3: billions to hire researchers, building data centers, developing new models. 30 00:01:52,480 --> 00:01:55,400 Speaker 3: Manus actually had an annual revenue run rate of one 31 00:01:55,440 --> 00:01:59,200 Speaker 3: hundred and twenty five million dollars earlier this year from 32 00:01:59,560 --> 00:02:03,880 Speaker 3: selling it it's AI agent business via subscriptions, so they 33 00:02:03,880 --> 00:02:07,280 Speaker 3: could give Meta a more immediate return on some of 34 00:02:07,320 --> 00:02:07,840 Speaker 3: the spending. 35 00:02:08,040 --> 00:02:10,000 Speaker 4: It doesn't look like it's doing anything to Meta stock. 36 00:02:10,040 --> 00:02:11,639 Speaker 4: I mean it's down just fractionally in. 37 00:02:11,639 --> 00:02:14,919 Speaker 3: As far as you know, two billion dollars for Meta, Yeah. 38 00:02:14,880 --> 00:02:15,919 Speaker 4: It's like a drop of the john. 39 00:02:15,960 --> 00:02:16,359 Speaker 3: Talk about that. 40 00:02:16,400 --> 00:02:19,280 Speaker 2: You talk about the spending for Meta cappex in twenty 41 00:02:19,280 --> 00:02:23,119 Speaker 2: twenty three twenty seven billion dollars, twenty twenty five, seventy 42 00:02:23,720 --> 00:02:28,359 Speaker 2: twenty twenty six and ten talk about ramping up your spending, 43 00:02:28,440 --> 00:02:30,560 Speaker 2: going all in on Ai man and he's got all. 44 00:02:30,480 --> 00:02:33,320 Speaker 3: Those people that he's hired for, you know, millions of 45 00:02:33,360 --> 00:02:37,080 Speaker 3: dollars in salaries all sitting around him. It gives some 46 00:02:37,240 --> 00:02:40,040 Speaker 3: degree of It gives you an idea of the degree 47 00:02:40,200 --> 00:02:41,480 Speaker 3: of importancy. 48 00:02:40,960 --> 00:02:45,200 Speaker 4: Attaches manus is privately held, right, Yes, it is ok. 49 00:02:46,880 --> 00:02:50,000 Speaker 3: Tesla, let's go there are always one of the most 50 00:02:50,120 --> 00:02:53,160 Speaker 3: active in the pre market and in the regular trading. 51 00:02:53,440 --> 00:02:55,960 Speaker 3: They have published a compilation of analyst asim it's for 52 00:02:56,040 --> 00:02:59,840 Speaker 3: vehicle deliveries to its website, and these averages for the 53 00:03:00,680 --> 00:03:04,400 Speaker 3: are even more pessimistic than those that we gathered here 54 00:03:04,520 --> 00:03:08,640 Speaker 3: at Bloomberg. By Tesla's count, analysts on average expected company 55 00:03:08,680 --> 00:03:11,880 Speaker 3: to deliver over four hundred and twenty two thousand cars 56 00:03:11,880 --> 00:03:15,160 Speaker 3: in the fourth quarter, and that's actually down about fifteen 57 00:03:15,240 --> 00:03:19,240 Speaker 3: percent from the year earlier. It compares with the Bloomberg 58 00:03:19,320 --> 00:03:22,519 Speaker 3: compiled the average of four hundred and forty five thousand vehicles, 59 00:03:22,800 --> 00:03:26,440 Speaker 3: a ten percent drop. Now, the investor relations team at 60 00:03:26,480 --> 00:03:31,280 Speaker 3: Tesla has compiled the average delivery estimates for years, but 61 00:03:31,639 --> 00:03:36,080 Speaker 3: until now they haven't shared the figures on their website. 62 00:03:36,280 --> 00:03:39,520 Speaker 3: The Carmaker en course for its second consecutive decline and 63 00:03:39,600 --> 00:03:43,520 Speaker 3: annual vehicle sales, having compiled an average estimate for one 64 00:03:43,520 --> 00:03:47,080 Speaker 3: point six million deliveries that is now more than eight 65 00:03:47,120 --> 00:03:50,720 Speaker 3: percent from the year earlier period, and Tesla shares they've 66 00:03:50,720 --> 00:03:55,560 Speaker 3: actually plunged early in the years the company retooled production 67 00:03:55,760 --> 00:04:00,360 Speaker 3: lines at the assembly plants for the redesigned model. Why 68 00:04:01,120 --> 00:04:05,040 Speaker 3: the period also coincides with Elon Mounsk playing a role 69 00:04:05,160 --> 00:04:06,600 Speaker 3: in the Trump administry. 70 00:04:06,800 --> 00:04:09,920 Speaker 4: In doge, Tesla is up though about fourteen percent year 71 00:04:09,960 --> 00:04:10,240 Speaker 4: to date. 72 00:04:10,320 --> 00:04:14,160 Speaker 3: Having said all that, let's look at a bunch of 73 00:04:14,680 --> 00:04:18,640 Speaker 3: artificial intelligence related stocks as we close out. We'll call 74 00:04:18,680 --> 00:04:23,279 Speaker 3: these the pick and shovel stocks. Investors seeking cutting edge 75 00:04:23,320 --> 00:04:27,440 Speaker 3: ways to play it snapping up technology pick and shovel stocks. 76 00:04:27,839 --> 00:04:31,479 Speaker 3: As the massive cloud service providers pour billions into new 77 00:04:31,560 --> 00:04:35,560 Speaker 3: data centers, the data storage companies dominated the S and 78 00:04:35,600 --> 00:04:38,280 Speaker 3: P five hundred this year. He had sand Dish shares 79 00:04:38,360 --> 00:04:42,719 Speaker 3: soaring five hundred and eighty percent. That was the best 80 00:04:42,760 --> 00:04:46,440 Speaker 3: performer in the benchmark. Western Digital was in second place, 81 00:04:46,440 --> 00:04:50,599 Speaker 3: Seagate Technology Holdings in fourth, and Meanwhile, some of the 82 00:04:50,640 --> 00:04:56,480 Speaker 3: original AI link power providers and cable and fiber producers 83 00:04:56,600 --> 00:05:01,480 Speaker 3: like Anfanhol, Corning Energy Energy, and g Vernova. They were 84 00:05:01,520 --> 00:05:05,480 Speaker 3: also among the top twenty five performers. 85 00:05:06,080 --> 00:05:10,320 Speaker 1: The Stockmovers Report from Bloomberg Radio. Check back with us 86 00:05:10,360 --> 00:05:13,159 Speaker 1: throughout the day for the latest roundup of companies making 87 00:05:13,240 --> 00:05:16,839 Speaker 1: news on Wall Street and for the latest market moving headlines. 88 00:05:17,080 --> 00:05:21,080 Speaker 1: Listen to Bloomberg Radio Live, catch us on YouTube, Bloomberg 89 00:05:21,120 --> 00:05:24,200 Speaker 1: dot com, and on Applecarplay and Android Auto with the 90 00:05:24,240 --> 00:05:25,599 Speaker 1: Bloomberg Business app.