1 00:00:02,480 --> 00:00:03,040 Speaker 1: Good morning. 2 00:00:03,080 --> 00:00:05,920 Speaker 2: I'm Nathan Hager and I'm Karen Moscow. Here are the 3 00:00:05,960 --> 00:00:07,440 Speaker 2: stories we're following today. 4 00:00:08,200 --> 00:00:11,719 Speaker 3: We begin in Iowa, where Donald Trump has cruised to 5 00:00:11,840 --> 00:00:15,040 Speaker 3: victory in the first in the nation Republican Caucasus. Now 6 00:00:15,160 --> 00:00:18,319 Speaker 3: the former president is calling on his rivals to drop out. 7 00:00:18,640 --> 00:00:21,680 Speaker 4: And I really think this is time now for everybody 8 00:00:22,320 --> 00:00:24,720 Speaker 4: our country to come together. We want to come together, 9 00:00:25,760 --> 00:00:29,400 Speaker 4: whether it's Republican or a Democrat, or a liberal or conservative. 10 00:00:29,440 --> 00:00:32,320 Speaker 4: It would be so nice if we could come together 11 00:00:32,479 --> 00:00:35,360 Speaker 4: and straighten out the world, and straighten out the problems, 12 00:00:35,400 --> 00:00:37,960 Speaker 4: and straighten out all of the death and destruction that 13 00:00:38,000 --> 00:00:38,840 Speaker 4: we're witnessing. 14 00:00:39,400 --> 00:00:42,120 Speaker 3: The former president won the Hawkeye state with fifty one 15 00:00:42,200 --> 00:00:45,239 Speaker 3: percent of the vote. Florida Governor Ron DeSantis came in 16 00:00:45,280 --> 00:00:48,159 Speaker 3: a distant second with twenty one point three percent. That's 17 00:00:48,200 --> 00:00:50,680 Speaker 3: after Poul suggested he had dropped a third place before 18 00:00:50,720 --> 00:00:51,360 Speaker 3: caucus night. 19 00:00:51,760 --> 00:00:54,400 Speaker 5: In spite of all of that that they threw out us, 20 00:00:54,840 --> 00:00:59,320 Speaker 5: everyone against us, we've got our ticket punched out of Iowa. 21 00:01:00,080 --> 00:01:02,920 Speaker 3: Governor DeSantis came in just ahead of Nicky Haley with 22 00:01:03,080 --> 00:01:06,360 Speaker 3: nineteen point one percent of the vote. Entrepreneur Vivik Graham 23 00:01:06,360 --> 00:01:09,280 Speaker 3: Oswami dropped out of the race and endorse Trump after 24 00:01:09,400 --> 00:01:11,360 Speaker 3: finishing fourth well Nathan. 25 00:01:11,400 --> 00:01:14,720 Speaker 2: The resounding victory sets up the former president very well. 26 00:01:14,720 --> 00:01:18,759 Speaker 2: Bloomberg Politics contributor Rick Davis explains how the nomination race 27 00:01:18,760 --> 00:01:20,840 Speaker 2: could now unfold for Donald Trump. 28 00:01:21,240 --> 00:01:24,160 Speaker 6: If Trump does run the table and gets both Iowa 29 00:01:24,240 --> 00:01:28,120 Speaker 6: New Hampshire a really unusual thing, then he's got four 30 00:01:28,760 --> 00:01:32,160 Speaker 6: weeks to consolidate his hold on South Carolina. And we've 31 00:01:32,200 --> 00:01:35,399 Speaker 6: seen early polling the campaign hasn't gotten to South Carolina yet, 32 00:01:35,680 --> 00:01:39,000 Speaker 6: so it's not reflective of a real campaign. But right 33 00:01:39,040 --> 00:01:42,480 Speaker 6: now he's twenty points ahead of Nicki Haley, who calls 34 00:01:42,480 --> 00:01:45,040 Speaker 6: it home. So and then after that, the really next 35 00:01:45,080 --> 00:01:48,880 Speaker 6: big thing is Super Tuesday, So he could actually walk 36 00:01:48,920 --> 00:01:52,040 Speaker 6: into Super Tuesday basically unchallenged at that point. 37 00:01:52,320 --> 00:01:55,840 Speaker 2: And Bloomberg Politics contributor Rick Davis says a Trump presidential 38 00:01:55,960 --> 00:01:59,680 Speaker 2: victory could result in sweeping changes for US policies on trade, 39 00:01:59,720 --> 00:02:02,919 Speaker 2: over sees, conflicts, taxes, and civil rights. 40 00:02:03,280 --> 00:02:05,640 Speaker 3: Karen Donald Trump's victory will be the talk of the town. 41 00:02:05,680 --> 00:02:08,920 Speaker 3: At the World Economic Forum in Davos today, President Biden 42 00:02:09,000 --> 00:02:12,720 Speaker 3: is once again skipping the event. Microsoft CEO Satia Nadella 43 00:02:12,840 --> 00:02:15,120 Speaker 3: is in Davos. He talked to us about the importance 44 00:02:15,160 --> 00:02:16,360 Speaker 3: of election integrity. 45 00:02:16,680 --> 00:02:20,720 Speaker 7: Misinformation and election interference is going to be a real 46 00:02:20,840 --> 00:02:24,200 Speaker 7: challenge that we all have to tackle. Me as a 47 00:02:24,280 --> 00:02:26,560 Speaker 7: company have to do our best work right whether in 48 00:02:26,560 --> 00:02:29,800 Speaker 7: the context of AI. We have lots of initiatives around 49 00:02:29,800 --> 00:02:32,760 Speaker 7: content IDs and other things that will then help us. 50 00:02:32,960 --> 00:02:35,760 Speaker 3: On a separate note, Microsoft CEO Satia Nodella said he 51 00:02:35,800 --> 00:02:38,680 Speaker 3: wants good governance and steadiness at OpenAI, but he says 52 00:02:38,680 --> 00:02:42,040 Speaker 3: he's not worried about the company's nonprofit structure and doesn't 53 00:02:42,080 --> 00:02:44,720 Speaker 3: want greater control over his partner Well. 54 00:02:44,680 --> 00:02:47,240 Speaker 2: Nathan out to the latest developments in the Middle East, 55 00:02:47,240 --> 00:02:49,880 Speaker 2: around has attacked what it's said was an Israeli spy 56 00:02:50,000 --> 00:02:52,760 Speaker 2: base in a rock with missiles. If true, it would 57 00:02:52,800 --> 00:02:55,720 Speaker 2: be the first direct strike on Israeli interest since this 58 00:02:55,800 --> 00:02:58,840 Speaker 2: started the war in Gaza, and a move that escalates 59 00:02:58,840 --> 00:03:02,600 Speaker 2: the regent's conflicts. Israel is not commented and rarely does 60 00:03:02,720 --> 00:03:04,560 Speaker 2: with such incidents and. 61 00:03:04,440 --> 00:03:07,360 Speaker 3: Who the militants have attacked a US owned containership in 62 00:03:07,400 --> 00:03:09,280 Speaker 3: the Red Sea Karen. That vessel was hit by a 63 00:03:09,320 --> 00:03:12,640 Speaker 3: ballistic missile but avoided significant damage or injuries to the crew. 64 00:03:13,000 --> 00:03:15,800 Speaker 3: This latest attack in the Red Sea comes after American 65 00:03:15,840 --> 00:03:18,040 Speaker 3: and British forces bonded the hoof He's in an effort 66 00:03:18,040 --> 00:03:19,960 Speaker 3: to deter them from disrupting global shipping. 67 00:03:20,520 --> 00:03:23,800 Speaker 2: Well to Wall Street Now and Nathan Bank earnings kickoff 68 00:03:23,880 --> 00:03:27,120 Speaker 2: this holiday shortened trading week with Goldman Sachs and Morgan 69 00:03:27,240 --> 00:03:31,480 Speaker 2: Stanley reporting before the opening bell. Bloomberg Intelligence Senior analyst 70 00:03:31,520 --> 00:03:34,320 Speaker 2: Alison Williams says she'll be watching how the trading desks 71 00:03:34,360 --> 00:03:35,800 Speaker 2: performed in the fourth quarter. 72 00:03:36,160 --> 00:03:39,680 Speaker 8: Morgan Stanley and Goldman Sachs are the two top players 73 00:03:39,720 --> 00:03:44,520 Speaker 8: in that business. Goldman was the leader, Morgan Stanley sort 74 00:03:44,520 --> 00:03:47,240 Speaker 8: of took that position for several years, but now Goldman 75 00:03:47,320 --> 00:03:49,800 Speaker 8: Sachs is sort of back in the lead, and so 76 00:03:49,840 --> 00:03:52,920 Speaker 8: I think that's that's something that investors are watching for, 77 00:03:53,320 --> 00:03:55,760 Speaker 8: you know, more of the interest of bragging rights because 78 00:03:55,800 --> 00:03:58,960 Speaker 8: as the top two players, they are profitable in those businesses. 79 00:03:59,280 --> 00:04:02,600 Speaker 2: And Bloomberg and Eligence senior analyst Allison Williams says investment 80 00:04:02,640 --> 00:04:04,920 Speaker 2: banking fees and the outlook for a twenty twenty four 81 00:04:04,960 --> 00:04:07,280 Speaker 2: recovery will be a focus for these banks. 82 00:04:07,640 --> 00:04:11,080 Speaker 3: Hearin retirement savers are putting more money into stocks. That's 83 00:04:11,120 --> 00:04:13,400 Speaker 3: among the findings of a new Bloomberg survey, and we 84 00:04:13,440 --> 00:04:16,360 Speaker 3: get more in this report from Bloomberg's John Tucker, John. 85 00:04:16,279 --> 00:04:19,839 Speaker 9: And Nathan latest Bloomberg Marcus Live Pulse survey finds almost 86 00:04:19,880 --> 00:04:22,680 Speaker 9: half the respondents that they were putting more funds into stocks. 87 00:04:23,040 --> 00:04:26,240 Speaker 9: It's a response to rising prices. Real estate and commodities 88 00:04:26,240 --> 00:04:29,080 Speaker 9: are among the other choices, but shares of companies whose 89 00:04:29,120 --> 00:04:31,839 Speaker 9: earnings are expended to rise with prices were clearly the 90 00:04:31,960 --> 00:04:36,200 Speaker 9: preferred option. Now, this potentially offers a long term tailwind 91 00:04:36,279 --> 00:04:40,000 Speaker 9: for stocks as societies get older. Now, this doesn't necessarily 92 00:04:40,000 --> 00:04:42,800 Speaker 9: make stocks the right choice to counter inflation. You'll remember 93 00:04:42,800 --> 00:04:45,520 Speaker 9: in the inflation are in nineteen seventies, stocks were the 94 00:04:45,720 --> 00:04:49,880 Speaker 9: worst performing acid in real terms. I'm John Tucker, Bloomberg Radio. 95 00:04:50,320 --> 00:04:52,840 Speaker 2: All right, John, thanks well. In company news, Apple as 96 00:04:52,839 --> 00:04:55,440 Speaker 2: we're moving up blood oxygen feature from its latest smart 97 00:04:55,480 --> 00:04:57,880 Speaker 2: watches to get around a US band stemming from a 98 00:04:57,880 --> 00:05:01,640 Speaker 2: pen dispute with the Massimo had ruled in October that 99 00:05:01,680 --> 00:05:05,960 Speaker 2: Apple's devices violated Massimo patents related to blood oxygen measurement 100 00:05:06,240 --> 00:05:08,640 Speaker 2: that led Apple to pause sales with the smart watches. 101 00:05:08,680 --> 00:05:11,120 Speaker 2: Just ahead of Christmas, though an interim stay allow the 102 00:05:11,120 --> 00:05:13,520 Speaker 2: company to bring the products back late last month. 103 00:05:13,720 --> 00:05:17,279 Speaker 3: And Elon Musk says he is uncomfortable growing Tesla's AI 104 00:05:17,400 --> 00:05:20,640 Speaker 3: capacity without a larger share of voting control. The automaker's 105 00:05:20,680 --> 00:05:23,280 Speaker 3: currently investing more than a billion dollars into its Dojo 106 00:05:23,400 --> 00:05:27,320 Speaker 3: supercomputer product and working to develop humanoid robots, but in 107 00:05:27,360 --> 00:05:30,200 Speaker 3: a post on his social platform x, Musk said without 108 00:05:30,200 --> 00:05:33,280 Speaker 3: twenty five percent of voting control in Tesla, he'd prefer 109 00:05:33,320 --> 00:05:34,880 Speaker 3: to develop products independently. 110 00:05:35,520 --> 00:05:38,760 Speaker 2: And Nathan Microsoft is opening up its artificial intelligence assistant 111 00:05:38,800 --> 00:05:42,600 Speaker 2: to consumers and making the corporate aversion available to smaller companies. 112 00:05:42,640 --> 00:05:44,360 Speaker 2: It's all part of an effort to increase the number 113 00:05:44,400 --> 00:05:47,760 Speaker 2: of paying customers for the new services. Microsoft is selling 114 00:05:47,800 --> 00:05:51,000 Speaker 2: a twenty dollars a month consumer version of Copilot with 115 00:05:51,080 --> 00:05:54,800 Speaker 2: access to open AI's latest chat, GPT technology, and image 116 00:05:54,880 --> 00:06:00,840 Speaker 2: creation features. If a look at some of the other 117 00:06:00,920 --> 00:06:03,080 Speaker 2: stories making news around the world. For that, we're joined 118 00:06:03,120 --> 00:06:05,599 Speaker 2: by Bloomberg's Amy Moore's Amy Good Morning. 119 00:06:05,640 --> 00:06:08,320 Speaker 10: Good Morning, Karen. Most of the East Coast now has 120 00:06:08,400 --> 00:06:11,960 Speaker 10: been without snow for a couple of years until now. 121 00:06:12,120 --> 00:06:15,920 Speaker 10: The Midwest also dealing with some dangerously cold temperatures. Let's 122 00:06:15,920 --> 00:06:18,360 Speaker 10: get more from Bloomberg meteorologist Rob Carolyn. 123 00:06:18,400 --> 00:06:20,800 Speaker 11: Week area of low pressure bringing some snow to areas 124 00:06:20,800 --> 00:06:22,480 Speaker 11: that haven't really seen a whole lot of snow over 125 00:06:22,480 --> 00:06:25,040 Speaker 11: the last two years. We're having some snow this morning 126 00:06:25,080 --> 00:06:26,960 Speaker 11: in the Baltimore area, but it'll be ending the New 127 00:06:27,040 --> 00:06:29,080 Speaker 11: York City area. We'll see the light snow end by 128 00:06:29,160 --> 00:06:32,320 Speaker 11: early afternoon, and Boston light snow will continue throughout the 129 00:06:32,400 --> 00:06:34,920 Speaker 11: day and and during the evening. Looks like the Boston 130 00:06:34,920 --> 00:06:36,880 Speaker 11: area picks up an inch or two before it mixes 131 00:06:36,920 --> 00:06:39,360 Speaker 11: a little bit of rain. An additional intro so possible 132 00:06:39,360 --> 00:06:42,039 Speaker 11: in the New York City area, very little additional accumulation 133 00:06:42,120 --> 00:06:44,720 Speaker 11: around the district in Baltimore. Also, looks like the cold 134 00:06:44,760 --> 00:06:47,000 Speaker 11: in the Upper Midwest will continue for a while longer, 135 00:06:47,000 --> 00:06:48,920 Speaker 11: and then it shifts east this weekend. 136 00:06:48,600 --> 00:06:50,920 Speaker 10: And we continue to track the winter weather, and we'll 137 00:06:50,960 --> 00:06:53,440 Speaker 10: hear from Rob throughout the morning here on Bloomberg Now. 138 00:06:53,440 --> 00:06:55,320 Speaker 10: We've been telling you about the results of the Iowa 139 00:06:55,400 --> 00:06:58,800 Speaker 10: Caucus and part of the fallout, entrepreneur vivek Ramaswami is 140 00:06:58,880 --> 00:07:00,720 Speaker 10: dropping out of the for president. 141 00:07:00,880 --> 00:07:04,760 Speaker 12: As of this moment, we are going to suspend this 142 00:07:04,839 --> 00:07:08,719 Speaker 12: presidential campaign, and this is going to have to be. 143 00:07:10,200 --> 00:07:13,320 Speaker 12: There is no path for me to be the next 144 00:07:13,360 --> 00:07:16,320 Speaker 12: president absent things that we don't want to see happen 145 00:07:16,400 --> 00:07:16,960 Speaker 12: in this country. 146 00:07:17,040 --> 00:07:20,320 Speaker 10: Namaswami suspended his bid after a disappointing showing in the 147 00:07:20,320 --> 00:07:23,000 Speaker 10: Iowa caucus, deciding instead to throw his support to former 148 00:07:23,080 --> 00:07:25,840 Speaker 10: President Trump, who was declared the winner last night. He 149 00:07:25,920 --> 00:07:28,800 Speaker 10: told his supporters there are two America First candidates and 150 00:07:28,800 --> 00:07:31,800 Speaker 10: that he called Trump earlier in the evening to congratulate 151 00:07:31,920 --> 00:07:35,240 Speaker 10: and endorse him. Secretary of Defense Lloyd Austin out of 152 00:07:35,280 --> 00:07:37,800 Speaker 10: the hospital and recovering now. The Pentagon says he was 153 00:07:37,840 --> 00:07:41,400 Speaker 10: released from Walter Reed National Military Medical Center yesterday. He 154 00:07:41,520 --> 00:07:44,680 Speaker 10: was admitted the hospital two weeks ago from complications from 155 00:07:44,760 --> 00:07:49,360 Speaker 10: prostate cancer surgery. Three shows dominated the Emmys last night. 156 00:07:53,560 --> 00:07:57,880 Speaker 10: The HBO drama Succession won six awards, including Best Drama Series. 157 00:07:58,200 --> 00:08:00,960 Speaker 10: Effx Is The Bear won Best Colum had won several 158 00:08:01,000 --> 00:08:04,920 Speaker 10: acting honors. Netflix Limited series Beef won five trophies at 159 00:08:05,000 --> 00:08:08,280 Speaker 10: last night ceremony. Quenta Brunson's win for Comedy was the 160 00:08:08,320 --> 00:08:11,400 Speaker 10: first for a female block actor in more than forty years. 161 00:08:11,840 --> 00:08:14,000 Speaker 10: Global News twenty four hours a day and whenever you 162 00:08:14,040 --> 00:08:16,600 Speaker 10: want it with Bloomberg News Now. I'm Amy Morrison. This 163 00:08:16,640 --> 00:08:17,679 Speaker 10: is Bloomberg Karen. 164 00:08:17,560 --> 00:08:19,280 Speaker 2: All right, Amy, thank you. What we do bring you 165 00:08:19,360 --> 00:08:22,840 Speaker 2: news throughout the day right here on Bloomberg Radio. But now, 166 00:08:22,920 --> 00:08:25,640 Speaker 2: as Amy said, you can get the latest news on demand, 167 00:08:25,640 --> 00:08:28,520 Speaker 2: and that means whenever you want it. Just subscribe to 168 00:08:28,560 --> 00:08:30,880 Speaker 2: Bloomberg News Now and you can get the latest headlines 169 00:08:30,920 --> 00:08:33,160 Speaker 2: right at the click of a button. Get informed on 170 00:08:33,320 --> 00:08:36,400 Speaker 2: your schedule. You can listen and subscribe to Bloomberg and 171 00:08:36,520 --> 00:08:39,839 Speaker 2: News Now on the Bloomberg Business app, Bloomberg dot Com 172 00:08:39,840 --> 00:08:43,640 Speaker 2: plus Apples, Spotify, and anywhere else you get your podcasts. 173 00:08:48,080 --> 00:08:52,079 Speaker 2: Time now for the Bloomberg Sports Update, Here's John stash Hour, John. 174 00:08:52,240 --> 00:08:55,000 Speaker 5: Karen An NFL put out doubleheader on a Monday. The 175 00:08:55,000 --> 00:08:57,640 Speaker 5: Buffalo game, of course, moved from Sunday because of all 176 00:08:57,720 --> 00:09:00,360 Speaker 5: the snow there, and they did shovel away at least 177 00:09:00,440 --> 00:09:02,600 Speaker 5: much of the snow in the stands and the fans 178 00:09:02,600 --> 00:09:05,840 Speaker 5: were able to see the Bills defeat Pittsburgh thirty one 179 00:09:05,960 --> 00:09:08,640 Speaker 5: to seventeen. Bills jumped in front twenty one to nothing 180 00:09:08,720 --> 00:09:11,120 Speaker 5: and held on. Josh Allen threw for two touchdowns, also 181 00:09:11,160 --> 00:09:13,040 Speaker 5: had a fifty two yard TV run. The Bills were 182 00:09:13,080 --> 00:09:15,199 Speaker 5: six and six, they've won six in a row and 183 00:09:15,240 --> 00:09:19,040 Speaker 5: they will host Kansas City on Sunday night. The Tampa 184 00:09:19,040 --> 00:09:21,600 Speaker 5: Bay Bucks were four and seven. Since then they've gone 185 00:09:21,679 --> 00:09:25,160 Speaker 5: six and one. Meanwhile, Philadelphia was ten and one, closed 186 00:09:25,160 --> 00:09:27,760 Speaker 5: out the season going one and six. It was all 187 00:09:27,880 --> 00:09:31,160 Speaker 5: Bucks last night, thirty two to nine. Baker Mayfield through 188 00:09:31,200 --> 00:09:33,400 Speaker 5: for three hundred and thirty seven yards three touchdowns. They 189 00:09:33,440 --> 00:09:37,120 Speaker 5: covered twenty three, forty four and fifty six yards and 190 00:09:37,160 --> 00:09:40,000 Speaker 5: now the Bucks get ready to play the Lions in 191 00:09:40,080 --> 00:09:44,280 Speaker 5: Detroit on Sunday. Meanwhile, Bill Belichick is a coaching free 192 00:09:44,280 --> 00:09:46,680 Speaker 5: agent and he has had his first job interview, and 193 00:09:46,720 --> 00:09:49,040 Speaker 5: it's with the Atlanta Falcons. That's, of course, the team 194 00:09:49,080 --> 00:09:51,839 Speaker 5: the Patriots had the big comeback against in Super Bowl 195 00:09:51,880 --> 00:09:54,360 Speaker 5: fifty one. Falcons not a particularly good team under five 196 00:09:54,440 --> 00:09:58,280 Speaker 5: hundred that they do not have a good quarterback. Belichick's sons, 197 00:09:58,440 --> 00:10:00,760 Speaker 5: Steve and Brian, who were both the assistance to him 198 00:10:00,800 --> 00:10:03,839 Speaker 5: in New England, have been told by Giron Mayo, who 199 00:10:03,880 --> 00:10:06,480 Speaker 5: replaced Beeblechick as a new head coach, that they can 200 00:10:06,640 --> 00:10:10,120 Speaker 5: remain with the Pats Jim Harbaugh had an interview with 201 00:10:10,240 --> 00:10:12,760 Speaker 5: the La Chargers. Celtics went to thirty one to nine. 202 00:10:12,800 --> 00:10:15,000 Speaker 5: They wanted Toronto one O five to ninety six. The 203 00:10:15,000 --> 00:10:18,440 Speaker 5: Wizard lost to lowly Detroit at home, and the Warrior 204 00:10:18,480 --> 00:10:22,640 Speaker 5: struggles continue. They lost in Memphis. Just dashaward Bloomberg's. 205 00:10:22,160 --> 00:10:28,320 Speaker 13: Plots from coast to coast, from New York to San Francisco, 206 00:10:28,640 --> 00:10:32,720 Speaker 13: Boston to Washington, d C. Nationwide on Syrias exam the 207 00:10:32,760 --> 00:10:37,480 Speaker 13: Bloomberg Business app in Bloomberg dot Com. This is Bloomberg Daybreak. 208 00:10:38,640 --> 00:10:39,120 Speaker 13: Good morning. 209 00:10:39,120 --> 00:10:40,000 Speaker 1: I'm Nathan Hager. 210 00:10:40,360 --> 00:10:43,400 Speaker 3: Donald Trump's front runner status in the twenty twenty four 211 00:10:43,480 --> 00:10:47,560 Speaker 3: Republican presidential race now appears sealed. That's after the former 212 00:10:47,600 --> 00:10:51,240 Speaker 3: president cruise to victory in last night's Iowa caucuses, with 213 00:10:51,320 --> 00:10:54,760 Speaker 3: many news organizations calling the race before some caucus sites 214 00:10:54,920 --> 00:10:58,479 Speaker 3: even opened in the Hawkeye state. For some morning after analysis, 215 00:10:58,480 --> 00:11:01,079 Speaker 3: we are joined by Greg Valier, the chief US policy 216 00:11:01,120 --> 00:11:05,520 Speaker 3: strategist at AGF Investments. Greg, Good morning. When we listen 217 00:11:05,600 --> 00:11:08,640 Speaker 3: to former President Trump's victory speech, he sounded like a 218 00:11:08,679 --> 00:11:10,600 Speaker 3: candidate who's sealed up the nomination. 219 00:11:10,920 --> 00:11:11,200 Speaker 13: Has he? 220 00:11:11,880 --> 00:11:14,880 Speaker 14: Oh? I think he has? Nathan, Maybe we go until 221 00:11:14,960 --> 00:11:18,640 Speaker 14: March fifth, which is super Tuesday. I think after March fifth, 222 00:11:18,679 --> 00:11:21,280 Speaker 14: Trump will be the presumptive nominee. 223 00:11:21,640 --> 00:11:24,840 Speaker 3: Why do you think he's not the presumptive nominee necessarily? 224 00:11:25,240 --> 00:11:28,360 Speaker 14: Now, well, let's see how New Hampshire turns out. It's 225 00:11:28,400 --> 00:11:32,520 Speaker 14: possible Nikki Haley could have a strong second. Let's see 226 00:11:32,520 --> 00:11:35,520 Speaker 14: how South Carolina turns out a couple of weeks later, 227 00:11:35,960 --> 00:11:39,400 Speaker 14: where Haley could do well. But I'd out of caution. 228 00:11:39,840 --> 00:11:42,160 Speaker 14: I will say maybe this goes until March fifth, but 229 00:11:42,200 --> 00:11:43,720 Speaker 14: I don't think it's going any longer. 230 00:11:44,120 --> 00:11:48,680 Speaker 3: Okay, So, coming out of the Iowa caucuses, the former 231 00:11:48,720 --> 00:11:52,360 Speaker 3: president had more than double the previous record when it 232 00:11:52,400 --> 00:11:55,840 Speaker 3: comes to the margin of victory, coming in nearly thirty 233 00:11:55,880 --> 00:11:59,760 Speaker 3: points ahead of Ron DeSantis. But turnout in this race 234 00:12:00,360 --> 00:12:02,120 Speaker 3: was as low as it's been in more than a 235 00:12:02,200 --> 00:12:05,040 Speaker 3: decade by some counts, as low as it's been in 236 00:12:05,200 --> 00:12:07,600 Speaker 3: a quarter century. I mean, what does that tell you 237 00:12:07,920 --> 00:12:09,800 Speaker 3: about where things stand in the race now? 238 00:12:10,520 --> 00:12:12,760 Speaker 14: I think it shows as a lot of people have 239 00:12:13,240 --> 00:12:17,760 Speaker 14: commented that Donald Trump's supporters would walk over broken glass 240 00:12:18,240 --> 00:12:21,240 Speaker 14: to go to a polling place to vote for Donald Trump. 241 00:12:21,480 --> 00:12:24,680 Speaker 14: His base is really adamantly in favor of him. 242 00:12:25,520 --> 00:12:30,319 Speaker 3: Well, what about Ron DeSantis? The polls coming into this 243 00:12:30,440 --> 00:12:34,920 Speaker 3: caucus appeared as though he might slip to third place, 244 00:12:34,960 --> 00:12:38,520 Speaker 3: but he managed to squeak out second. Does he have 245 00:12:38,640 --> 00:12:39,360 Speaker 3: momentum now? 246 00:12:40,240 --> 00:12:42,600 Speaker 14: Not a lot. I mean it was still a fairly 247 00:12:43,000 --> 00:12:46,840 Speaker 14: week second. And I think that DeSantis is in trouble 248 00:12:46,880 --> 00:12:49,400 Speaker 14: in New Hampshire. I think Nicky Haley will have a 249 00:12:49,440 --> 00:12:52,760 Speaker 14: fairly good night in New Hampshire next week, but DeSantis 250 00:12:52,840 --> 00:12:55,000 Speaker 14: is on really thin ice right now. 251 00:12:55,840 --> 00:12:59,480 Speaker 3: Okay, so how about Nicki Haley? You mentioned that she 252 00:12:59,559 --> 00:13:01,800 Speaker 3: could have a good night in New Hampshire. How do 253 00:13:01,840 --> 00:13:05,480 Speaker 3: you see things playing out in New Hampshire a week 254 00:13:05,520 --> 00:13:06,120 Speaker 3: from today? 255 00:13:06,720 --> 00:13:09,120 Speaker 14: Yeah, I don't think Trump will get fifty percent like 256 00:13:09,160 --> 00:13:11,280 Speaker 14: he did last night. I think he got fifty one 257 00:13:11,400 --> 00:13:13,920 Speaker 14: last night. I think it'll be closer, but I think 258 00:13:13,960 --> 00:13:18,160 Speaker 14: Trump will still win. Then South Carolina a couple weeks 259 00:13:18,400 --> 00:13:21,480 Speaker 14: later could be really interesting because of course Haley is 260 00:13:21,520 --> 00:13:26,400 Speaker 14: from South Carolina, but Trump is very popular there. I 261 00:13:26,640 --> 00:13:30,000 Speaker 14: just don't see a big opening left for Desantus. 262 00:13:30,640 --> 00:13:35,320 Speaker 3: So with the race heading into New Hampshire next week, 263 00:13:35,440 --> 00:13:39,400 Speaker 3: South Carolina the week after that, going into Super Tuesday, 264 00:13:39,480 --> 00:13:43,360 Speaker 3: you don't see it as necessarily being a long slog. 265 00:13:43,679 --> 00:13:48,840 Speaker 3: But how does this race shape President Trump? Former President 266 00:13:48,920 --> 00:13:52,760 Speaker 3: Trump up for a general election contest? Should he be 267 00:13:52,800 --> 00:13:54,880 Speaker 3: thinking about the general election at this point? 268 00:13:55,080 --> 00:13:59,280 Speaker 14: Yeah, the general election looks roughly tied, Paul. Some poles 269 00:13:59,280 --> 00:14:01,840 Speaker 14: showed Trump ahead by two or behind by two. A 270 00:14:01,880 --> 00:14:05,560 Speaker 14: lot of wildcards, Nathan, whether it's immigration. You look at 271 00:14:05,559 --> 00:14:09,080 Speaker 14: the Chinese election this past weekend, you look at a 272 00:14:09,160 --> 00:14:12,560 Speaker 14: need to support Ukraine, you look at what's happening right 273 00:14:12,600 --> 00:14:15,000 Speaker 14: now in the Red Sea. There's a lot of big 274 00:14:15,040 --> 00:14:16,600 Speaker 14: wildcards still to play out. 275 00:14:17,600 --> 00:14:21,040 Speaker 3: And how should President Biden be reacting to this result? 276 00:14:21,120 --> 00:14:26,040 Speaker 3: You mentioned immigration, and going into the race, immigration was 277 00:14:26,040 --> 00:14:28,840 Speaker 3: seen as the biggest issue for many of the voters 278 00:14:29,000 --> 00:14:32,080 Speaker 3: going in here. How should President Biden react to a 279 00:14:32,120 --> 00:14:33,200 Speaker 3: Trump victory in Iowa? 280 00:14:33,680 --> 00:14:36,240 Speaker 14: Well, I'm told that in private he's furious that he's 281 00:14:36,280 --> 00:14:39,720 Speaker 14: not doing better because he feels the economy has improved. 282 00:14:39,720 --> 00:14:42,720 Speaker 14: And he's right, the economy has improved, but there are 283 00:14:42,720 --> 00:14:46,400 Speaker 14: still so many other issues. And to see Biden now 284 00:14:46,440 --> 00:14:49,880 Speaker 14: in the low thirties, you'd have to say, at best 285 00:14:50,080 --> 00:14:53,200 Speaker 14: he's tied with Trump. He may be trailing by three 286 00:14:53,280 --> 00:14:56,040 Speaker 14: or four points. As we get past Super Tuesday. 287 00:14:56,520 --> 00:14:58,680 Speaker 3: How much of an issue at this point is former 288 00:14:58,720 --> 00:15:02,040 Speaker 3: President Trump's legal battles. I mean, coming out of this 289 00:15:02,200 --> 00:15:04,520 Speaker 3: Iowa caucus, He's going to be heading right back into 290 00:15:04,520 --> 00:15:07,600 Speaker 3: a court room later today for the Egene Carrol case. 291 00:15:07,640 --> 00:15:11,200 Speaker 3: That's one of many legal matters that he's dealing with. 292 00:15:11,640 --> 00:15:15,560 Speaker 14: Yeah, I don't get that one. He shows up in court, 293 00:15:16,320 --> 00:15:20,640 Speaker 14: mocks the judge, mocks prosecutors, and thinks that it's going 294 00:15:20,680 --> 00:15:24,120 Speaker 14: to help him politically. I disagree. I don't think he 295 00:15:24,200 --> 00:15:27,400 Speaker 14: has to do that, because he just draws more attention 296 00:15:27,800 --> 00:15:29,880 Speaker 14: to these problems, and. 297 00:15:29,840 --> 00:15:32,960 Speaker 3: He certainly got the attention of Iowa voters last night, 298 00:15:33,200 --> 00:15:37,880 Speaker 3: as you said, walking over coals and over sub zero 299 00:15:38,080 --> 00:15:40,920 Speaker 3: ice to get to the caucuses for him last night. 300 00:15:40,960 --> 00:15:41,960 Speaker 11: Thank you for this. Greg. 301 00:15:42,160 --> 00:15:44,840 Speaker 3: Good having you on with us this morning after the 302 00:15:44,920 --> 00:15:45,800 Speaker 3: Iowa caucuses. 303 00:15:45,840 --> 00:15:46,800 Speaker 1: Greg Valiere with. 304 00:15:46,840 --> 00:15:51,480 Speaker 3: Us this morning, the chief US policy strategist at AGF Investments. 305 00:15:51,760 --> 00:15:54,880 Speaker 3: Now we want to turn from snowy Iowa to snowy 306 00:15:55,040 --> 00:15:58,440 Speaker 3: Switzerland and bring you some of the most important conversations 307 00:15:58,720 --> 00:16:02,680 Speaker 3: from the World Economic Forum annual meeting in Davos. Microsoft 308 00:16:02,760 --> 00:16:07,359 Speaker 3: CEO Satya Nadella says he wants good governance and steadiness 309 00:16:07,440 --> 00:16:10,600 Speaker 3: at open Ai, but he's not worried about the company's 310 00:16:10,720 --> 00:16:15,680 Speaker 3: nonprofit structure and doesn't want greater control over his AI partner. 311 00:16:15,760 --> 00:16:20,760 Speaker 3: Satya Nadella spoke with Bloomberg's Bradstone at Bloomberg House in Davos. 312 00:16:21,080 --> 00:16:23,800 Speaker 15: You guys have been fairly aggressive and out in front 313 00:16:23,800 --> 00:16:27,480 Speaker 15: on adding AI features and capabilities to your products, and 314 00:16:27,600 --> 00:16:32,160 Speaker 15: yesterday you made an announcement where you're expanding the rollout 315 00:16:32,320 --> 00:16:36,960 Speaker 15: of the co pilot tool, fueled partly by your partnership 316 00:16:36,960 --> 00:16:40,680 Speaker 15: with the open Ai, into Microsoft products like Outlook and 317 00:16:40,760 --> 00:16:43,640 Speaker 15: Word and Excel. Talk a little bit about that and 318 00:16:43,720 --> 00:16:46,880 Speaker 15: how widely do you expect those tools to be used. 319 00:16:47,120 --> 00:16:51,480 Speaker 7: Yeah, I mean, if I step back, if you sort 320 00:16:51,520 --> 00:16:55,080 Speaker 7: of look at what has happened even in the last 321 00:16:55,080 --> 00:16:57,680 Speaker 7: so i'd say sixteen months, right, you have to go 322 00:16:57,840 --> 00:17:01,720 Speaker 7: back to November off to two, when chat GPT first 323 00:17:01,760 --> 00:17:03,360 Speaker 7: came out. I think that was the moment, which I 324 00:17:03,560 --> 00:17:06,880 Speaker 7: like to describe as the Mosaic like moment. In fact, 325 00:17:06,920 --> 00:17:09,880 Speaker 7: interesting enough, it is November of ninety three, a year 326 00:17:09,920 --> 00:17:14,679 Speaker 7: after I joined Microsoft in Mosaic first came out, and 327 00:17:14,720 --> 00:17:17,920 Speaker 7: I think that's the first AI product that we all 328 00:17:18,040 --> 00:17:22,399 Speaker 7: could relate to and get a real sense of what 329 00:17:22,480 --> 00:17:26,439 Speaker 7: this generation of AI can do in our lives. But 330 00:17:26,560 --> 00:17:31,240 Speaker 7: for me, maybe the product that really helped crystallize the 331 00:17:31,280 --> 00:17:34,560 Speaker 7: potential was get Up Copilot, which probably came six eight 332 00:17:34,560 --> 00:17:38,880 Speaker 7: months before that, and especially when we know we scaled 333 00:17:38,880 --> 00:17:43,399 Speaker 7: from GPT three to three five, that's around the time 334 00:17:43,520 --> 00:17:47,000 Speaker 7: when we felt that if you can take something like 335 00:17:47,880 --> 00:17:50,560 Speaker 7: software development, which is let's call it, the most elite 336 00:17:50,640 --> 00:17:54,080 Speaker 7: knowledge work there is, and have a tool that allows 337 00:17:54,359 --> 00:17:57,520 Speaker 7: software developer, in fact, bring joy back to software development, 338 00:17:57,600 --> 00:18:01,200 Speaker 7: keep them in flow, get them to finish tasks that 339 00:18:01,640 --> 00:18:06,440 Speaker 7: to be solidified in fact the idea that you can 340 00:18:06,520 --> 00:18:10,959 Speaker 7: have a copilot for pretty much every human task. And 341 00:18:11,040 --> 00:18:13,960 Speaker 7: so we have been on that journey and we are 342 00:18:13,960 --> 00:18:15,240 Speaker 7: anchored on two real things. 343 00:18:15,280 --> 00:18:15,440 Speaker 2: Right. 344 00:18:15,440 --> 00:18:18,040 Speaker 7: The one thing the breakthrough is the user interface. In fact, 345 00:18:18,080 --> 00:18:20,760 Speaker 7: seventy years of computing history has always been about can 346 00:18:20,800 --> 00:18:23,600 Speaker 7: you build that most interuitive user experience. That's kind of 347 00:18:23,600 --> 00:18:28,119 Speaker 7: how it led to graphical interfaces or the multi touch 348 00:18:28,359 --> 00:18:31,119 Speaker 7: phone or what have you. But now with natural language, 349 00:18:31,160 --> 00:18:33,679 Speaker 7: you ultimately in some sense have arrived at that point 350 00:18:33,800 --> 00:18:37,480 Speaker 7: where it's not about us understanding computers, but computers understanding us. 351 00:18:38,240 --> 00:18:42,399 Speaker 7: So that's one major breakthrough. The other breakthrough is we 352 00:18:42,480 --> 00:18:45,040 Speaker 7: now have a new reasoning engine, which is a neural 353 00:18:45,080 --> 00:18:47,920 Speaker 7: reasoning engine, because the other seventy year history of computing 354 00:18:48,119 --> 00:18:52,359 Speaker 7: was we digitize people, places and things and try to 355 00:18:52,400 --> 00:18:55,040 Speaker 7: make sense of it reason about it. And so we 356 00:18:55,080 --> 00:18:57,240 Speaker 7: now have a new capability. So you put these two 357 00:18:57,240 --> 00:18:59,960 Speaker 7: things together, a new user interface that's much more in TUE, 358 00:19:01,880 --> 00:19:05,600 Speaker 7: grounded in natural language, but multi modal, multi turn, multi domain, 359 00:19:06,240 --> 00:19:09,159 Speaker 7: and a reasoning engine. Pretty much every software category, what 360 00:19:09,240 --> 00:19:12,280 Speaker 7: is productivity, what is an operating system, what's the browser? 361 00:19:13,160 --> 00:19:16,080 Speaker 7: They all in some sense collapse. And so that's why 362 00:19:16,080 --> 00:19:18,760 Speaker 7: I do OSK Copilot. Just as maybe in the past 363 00:19:18,800 --> 00:19:21,960 Speaker 7: we were known as an office company, or a Windows 364 00:19:22,000 --> 00:19:24,960 Speaker 7: company or a cloud company, I think going forward we 365 00:19:25,000 --> 00:19:26,760 Speaker 7: will be We have a co pilot. We have a 366 00:19:26,800 --> 00:19:29,679 Speaker 7: co pilot stack in Azure, which is all the APIs 367 00:19:30,680 --> 00:19:32,840 Speaker 7: and that's sort of what our co focus is. 368 00:19:33,000 --> 00:19:36,000 Speaker 15: Right now, tell us let's talk a little bit about 369 00:19:36,040 --> 00:19:39,760 Speaker 15: the relationship with open ai and how we should understand it. 370 00:19:40,560 --> 00:19:46,000 Speaker 15: Copilot is powered by open Ai. We saw some instability 371 00:19:46,320 --> 00:19:48,879 Speaker 15: in the relationship back in November, which. 372 00:19:50,720 --> 00:19:55,440 Speaker 8: You seem to have now come through is Microsoft. 373 00:19:54,880 --> 00:19:58,760 Speaker 15: Outsourcing what you're describing as a core capability going forward? 374 00:19:58,800 --> 00:20:02,480 Speaker 7: And yeah, so I think if you sort of step back, 375 00:20:03,880 --> 00:20:07,439 Speaker 7: in fact, it's probably helpful to understand. I grew up 376 00:20:07,440 --> 00:20:13,640 Speaker 7: in a Microsoft which sort of had these massive partnerships. 377 00:20:14,320 --> 00:20:18,840 Speaker 7: The first partnership that at least I joined was around 378 00:20:18,920 --> 00:20:22,080 Speaker 7: Intel and Microsoft. I don't think Windows would have existed 379 00:20:22,119 --> 00:20:26,680 Speaker 7: without Intel, and Intel wouldn't have had the success without Windows. Subsequently, 380 00:20:26,720 --> 00:20:29,359 Speaker 7: in fact, it's interesting, I worked on our sql server 381 00:20:29,440 --> 00:20:32,600 Speaker 7: product with SAP. In fact, I don't think sql database 382 00:20:32,600 --> 00:20:37,400 Speaker 7: would have existed without SAP. SAP success of being able 383 00:20:37,440 --> 00:20:40,719 Speaker 7: to support sql server also help them a lot, and 384 00:20:40,760 --> 00:20:42,400 Speaker 7: so in the same way, and I think of open 385 00:20:42,440 --> 00:20:45,720 Speaker 7: AI and Microsoft, so I'm used to constructing. In fact, 386 00:20:45,720 --> 00:20:48,399 Speaker 7: a lot of people talk about organic development, which of 387 00:20:48,440 --> 00:20:50,919 Speaker 7: course is the core. People talk about M and A, 388 00:20:51,240 --> 00:20:53,679 Speaker 7: but sort of not as much as talked about how 389 00:20:53,760 --> 00:20:58,720 Speaker 7: much enterprise value gets created by partnering effectively. So that's 390 00:20:58,760 --> 00:21:02,280 Speaker 7: the spirit with which I think about open AI. So 391 00:21:02,600 --> 00:21:05,360 Speaker 7: there's a whole lot we do. So when you say outsourcing, 392 00:21:05,400 --> 00:21:08,280 Speaker 7: who's outsourcing what to whom? Is the real question? 393 00:21:08,440 --> 00:21:08,640 Speaker 2: Right? 394 00:21:08,680 --> 00:21:12,240 Speaker 7: So we build a compute, they then use the compute 395 00:21:12,280 --> 00:21:14,600 Speaker 7: to do the training. We then take that put it 396 00:21:14,640 --> 00:21:18,000 Speaker 7: into products, and so in some sense, it's a partnership 397 00:21:18,040 --> 00:21:21,159 Speaker 7: that is based on each of us really reinforcing what 398 00:21:21,240 --> 00:21:25,080 Speaker 7: everyone each other does, and then ultimately being competitive in 399 00:21:25,080 --> 00:21:30,320 Speaker 7: the marketplace. There's room for I call it horizontal specialization. 400 00:21:30,680 --> 00:21:34,560 Speaker 7: There is room for vertical specialization. Sometimes some business models 401 00:21:34,600 --> 00:21:35,600 Speaker 7: are in vogue. 402 00:21:36,119 --> 00:21:37,159 Speaker 13: I'm a big believer in. 403 00:21:37,200 --> 00:21:41,600 Speaker 7: Horizontal specialization, especially if you can vertically integrate everything. 404 00:21:43,920 --> 00:21:46,960 Speaker 1: This is Bloomberg Daybreak Today, your morning brief on the 405 00:21:47,000 --> 00:21:50,400 Speaker 1: story's making news from Wall Street to Washington and beyond. 406 00:21:50,680 --> 00:21:53,480 Speaker 2: Look for us on your podcast feed at six am 407 00:21:53,560 --> 00:21:57,239 Speaker 2: Eastern each morning, on Apple, Spotify, and anywhere else you 408 00:21:57,280 --> 00:21:58,440 Speaker 2: get your podcasts. 409 00:21:58,560 --> 00:22:01,240 Speaker 1: You can also listen live each morning starting at five 410 00:22:01,320 --> 00:22:03,879 Speaker 1: am Wall Street time on Bloomberg eleven three to zero 411 00:22:03,960 --> 00:22:07,400 Speaker 1: in New York, Bloomberg ninety nine one in Washington, Bloomberg 412 00:22:07,440 --> 00:22:10,439 Speaker 1: one oh sixty one in Boston, and Bloomberg ninety sixty 413 00:22:10,600 --> 00:22:11,480 Speaker 1: in San Francisco. 414 00:22:11,920 --> 00:22:15,080 Speaker 2: Our flagship New York station is also available on your 415 00:22:15,119 --> 00:22:20,200 Speaker 2: Amazon Alexa devices. Just say Alexa play Bloomberg eleven thirty. 416 00:22:20,240 --> 00:22:24,040 Speaker 1: Plus listen coast to coast on the Bloomberg Business app, SERIUSXM, 417 00:22:24,119 --> 00:22:27,720 Speaker 1: the iHeartRadio app, and on Bloomberg dot Com. I'm Nathan 418 00:22:27,720 --> 00:22:29,320 Speaker 1: Hager and I'm Karen Moscow. 419 00:22:29,520 --> 00:22:32,280 Speaker 2: Join us again tomorrow morning for all the news you 420 00:22:32,400 --> 00:22:35,639 Speaker 2: need to start your day right here on Bloomberg Daybreak