1
00:00:00,120 --> 00:00:06,760
Speaker 1: Bloomberg Audio Studios, podcasts, radio news.

2
00:00:09,160 --> 00:00:12,360
Speaker 2: They say's the Bloomberg Daybreak Europe podcast, available every morning

3
00:00:12,360 --> 00:00:15,560
Speaker 2: on Apple, Spotify or wherever you listen. It's Thursday, the

4
00:00:15,600 --> 00:00:19,200
Speaker 2: second of January in London. I'm Stephen Carroll coming up today.

5
00:00:19,360 --> 00:00:22,880
Speaker 2: A deadly attack in New Orleans kills at least fifteen people.

6
00:00:23,480 --> 00:00:27,920
Speaker 2: Hours later at Tesla truck exploded outside Trump's Las Vegas hotel,

7
00:00:28,280 --> 00:00:31,920
Speaker 2: killing the driver. Joe Biden says authorities are investigating if

8
00:00:31,920 --> 00:00:35,720
Speaker 2: there's a possible connection, as US domestic security is thrust

9
00:00:35,760 --> 00:00:38,320
Speaker 2: back into the spotlight. Plus and look at what to

10
00:00:38,440 --> 00:00:41,800
Speaker 2: expect from markets in twenty twenty five, we have Wall

11
00:00:41,800 --> 00:00:44,720
Speaker 2: Street's predictions for the year ahead. Let's start with the

12
00:00:44,840 --> 00:00:48,760
Speaker 2: undup of our top stories. At least fifteen people have died,

13
00:00:48,800 --> 00:00:51,760
Speaker 2: with dozens more injured after an attacker drove a pickup

14
00:00:51,760 --> 00:00:55,480
Speaker 2: truck into crowds celebrating New Year's Eve in New Orleans.

15
00:00:55,640 --> 00:00:58,000
Speaker 2: The driver of forty two year old from Texas called

16
00:00:58,040 --> 00:01:02,000
Speaker 2: shamsu Dn Jabbar, was shot dead after opening fire at police.

17
00:01:02,280 --> 00:01:05,640
Speaker 2: Authorities say they discovered an ISIS flag at the scene.

18
00:01:06,000 --> 00:01:10,720
Speaker 2: FBI special agent Alathea Duncan says other items were also discovered.

19
00:01:11,040 --> 00:01:15,399
Speaker 3: Weapons and potential improvised explosive vices IEDs were located in

20
00:01:15,480 --> 00:01:19,280
Speaker 3: the subjects vehicle. Other potential IDs were also located in

21
00:01:19,319 --> 00:01:23,000
Speaker 3: their French quarter. As of now, two IDs have been

22
00:01:23,040 --> 00:01:24,440
Speaker 3: found and rendered safe.

23
00:01:24,560 --> 00:01:27,920
Speaker 2: The FBI also said says Shamsu ding Jabbar was an

24
00:01:28,000 --> 00:01:31,360
Speaker 2: Army veteran who may not have acted alone. Hours after

25
00:01:31,480 --> 00:01:35,360
Speaker 2: that attack, a Tesla cyber truck exploded outside of Donald

26
00:01:35,400 --> 00:01:38,759
Speaker 2: Trump's hotel in Las Vegas, killing the driver and leaving

27
00:01:38,880 --> 00:01:42,600
Speaker 2: seven others with minor injuries. Police say the vehicle pulled

28
00:01:42,680 --> 00:01:45,560
Speaker 2: up to the glass entrance doors of the Trump Hotel

29
00:01:45,600 --> 00:01:49,040
Speaker 2: and then smoke appeared from it before a large explosion.

30
00:01:49,280 --> 00:01:53,480
Speaker 2: Sheriff Kevin mcmayhill says they've already tracked the truck's origins.

31
00:01:54,080 --> 00:01:57,240
Speaker 4: We do know the truck was rented in Colorado. We

32
00:01:57,640 --> 00:02:01,560
Speaker 4: were able to trace that truck through the Tesla's charging

33
00:02:01,600 --> 00:02:04,640
Speaker 4: stations and it arrived here in Las Vegas this morning

34
00:02:04,640 --> 00:02:05,880
Speaker 4: at about seven point thirty.

35
00:02:06,440 --> 00:02:09,520
Speaker 2: Officers say they found no signs of a connection to

36
00:02:09,639 --> 00:02:14,080
Speaker 2: international terrorism, but they're still exploring all possibilities. In a

37
00:02:14,200 --> 00:02:18,480
Speaker 2: series of posts on x Tesla's CEO elon Musk said

38
00:02:18,520 --> 00:02:22,119
Speaker 2: the company had confirmed the explosion was caused by very

39
00:02:22,200 --> 00:02:26,440
Speaker 2: large fireworks and or a bomb carried in the rented

40
00:02:26,520 --> 00:02:30,360
Speaker 2: cyber truck. The MUSCO also said that both the cyber

41
00:02:30,400 --> 00:02:32,880
Speaker 2: truck and the pickup truck used in New Orleans were

42
00:02:32,919 --> 00:02:37,280
Speaker 2: rented from a company called Turo, a car sharing marketplace

43
00:02:37,320 --> 00:02:41,359
Speaker 2: that allows hosts to rent out their vehicles. A spokesperson

44
00:02:41,400 --> 00:02:45,240
Speaker 2: for Turo said the company didn't believe either renter involved

45
00:02:45,280 --> 00:02:47,519
Speaker 2: in the attacks at a criminal background that would have

46
00:02:47,600 --> 00:02:51,959
Speaker 2: identified them as a security threat. Investigators in Las Vegas

47
00:02:52,000 --> 00:02:56,200
Speaker 2: say they're looking into the possible connection. In remarks at

48
00:02:56,200 --> 00:02:59,480
Speaker 2: the White House, US President Joe Biden offered condolences to

49
00:02:59,560 --> 00:03:03,680
Speaker 2: victims families of the attack in New Orleans and set

50
00:03:03,720 --> 00:03:06,200
Speaker 2: out what is known so far about the attacker.

51
00:03:06,800 --> 00:03:09,720
Speaker 5: Here's what we know so far. The FBI is reported

52
00:03:09,760 --> 00:03:13,520
Speaker 5: to me the killer was an American citizen born in Texas.

53
00:03:13,639 --> 00:03:15,840
Speaker 5: He served in the United States Army in active duty

54
00:03:15,880 --> 00:03:18,520
Speaker 5: for many years. He also served in the Army reserve

55
00:03:18,600 --> 00:03:21,400
Speaker 5: until a few years ago. The FBI also reported to

56
00:03:21,440 --> 00:03:24,880
Speaker 5: me that mere hours before the attack, he posted videos

57
00:03:24,919 --> 00:03:29,320
Speaker 5: on social media indicating that is inspired by ISIS, especially

58
00:03:29,320 --> 00:03:32,800
Speaker 5: the desire to kill, desire to kill. The ISIS flag

59
00:03:32,919 --> 00:03:35,640
Speaker 5: was found in his vehicle, which he rented to conduct

60
00:03:35,640 --> 00:03:36,200
Speaker 5: this attack.

61
00:03:36,960 --> 00:03:40,480
Speaker 2: Additionally, he said, law enforcement officials are tracking whether there's

62
00:03:40,480 --> 00:03:43,280
Speaker 2: any possible connection between the two incidents.

63
00:03:43,960 --> 00:03:47,840
Speaker 5: Additionally, we're tracking the explosion of a cyber truck outside

64
00:03:47,880 --> 00:03:50,880
Speaker 5: the Trump Hotel in Las Vegas. Law enforcement and the

65
00:03:50,880 --> 00:03:55,040
Speaker 5: intelligence community are investigating this as well, including whether there's

66
00:03:55,080 --> 00:03:58,880
Speaker 5: any possible connection with the attack in New Orleans. Thus far,

67
00:03:58,960 --> 00:04:01,680
Speaker 5: there's nothing to report on score at this time. I

68
00:04:01,800 --> 00:04:05,360
Speaker 5: directed my team to make sure every resource every resource

69
00:04:05,440 --> 00:04:08,320
Speaker 5: is made available to federal, state, and local law enforcement

70
00:04:08,520 --> 00:04:11,560
Speaker 5: to complete the investigation in New Orleans quickly, and to

71
00:04:11,600 --> 00:04:15,080
Speaker 5: make sure there's no remaining threat to the American people.

72
00:04:16,200 --> 00:04:20,039
Speaker 2: President Biden there addressing events that have thrown US domestic

73
00:04:20,160 --> 00:04:23,599
Speaker 2: security back into the spotlight less than a month before

74
00:04:23,640 --> 00:04:26,800
Speaker 2: Donald Trump is sworn in as president. In a post

75
00:04:26,920 --> 00:04:30,360
Speaker 2: untruthed social Trump wrote that our hearts are with all

76
00:04:30,400 --> 00:04:33,640
Speaker 2: of the innocent victims and their loved ones, and that

77
00:04:33,760 --> 00:04:36,919
Speaker 2: his administration will fully support the City of New Orleans

78
00:04:37,160 --> 00:04:39,960
Speaker 2: as they investigate and recover from this act.

79
00:04:39,800 --> 00:04:41,120
Speaker 6: Of pure evil.

80
00:04:41,960 --> 00:04:43,960
Speaker 2: The return of Donald Trump to the White House has

81
00:04:44,000 --> 00:04:48,160
Speaker 2: dominated forecasting on Wall Street. Bloomberg has found that optimism

82
00:04:48,240 --> 00:04:52,839
Speaker 2: towards US assets. When it aggregated the financial world's key

83
00:04:52,880 --> 00:04:55,920
Speaker 2: calls for the new year, Bloomberg James Wilcock has more.

84
00:04:56,120 --> 00:04:59,600
Speaker 7: America first, government debt will not shrink and the AI

85
00:04:59,760 --> 00:05:03,960
Speaker 7: route has still got further to go. Bloomberg journalists found

86
00:05:03,960 --> 00:05:07,159
Speaker 7: a remarkable degree of consensus when they crunched the twenty

87
00:05:07,200 --> 00:05:10,320
Speaker 7: twenty five calls from some of the biggest names in finance.

88
00:05:10,880 --> 00:05:14,200
Speaker 7: Many called for diversification to try and combat the unknowns

89
00:05:14,440 --> 00:05:16,560
Speaker 7: around Donald Trump's second term.

90
00:05:16,720 --> 00:05:18,360
Speaker 6: Perhaps they're aware that just.

91
00:05:18,320 --> 00:05:22,040
Speaker 7: Because it's the consensus view doesn't mean it's always right.

92
00:05:22,600 --> 00:05:25,080
Speaker 7: In London, James Wilcock, Bloomberg Radio.

93
00:05:26,120 --> 00:05:29,920
Speaker 2: In European Central Banks two percent inflation target is in sight.

94
00:05:30,080 --> 00:05:31,919
Speaker 2: That's according to the New Year's message in the Central

95
00:05:31,960 --> 00:05:33,600
Speaker 2: Banks President Christine Leguard.

96
00:05:34,560 --> 00:05:37,239
Speaker 8: So we have a big, heavy agenda at the ECB.

97
00:05:37,560 --> 00:05:41,120
Speaker 8: We have made significant progress in twenty four in bringing

98
00:05:41,160 --> 00:05:45,320
Speaker 8: downe inflation and hopefully twenty five is the year when

99
00:05:45,360 --> 00:05:49,200
Speaker 8: we are on target as expected and as planned in

100
00:05:49,240 --> 00:05:50,000
Speaker 8: our strategy.

101
00:05:50,600 --> 00:05:54,520
Speaker 2: PCB President Christine Laguard speaking their Euroara inflation slowed over

102
00:05:54,560 --> 00:05:56,880
Speaker 2: the course of last year and went below the ECB's

103
00:05:56,880 --> 00:05:59,160
Speaker 2: target in September. Though it has ticked up again in

104
00:05:59,200 --> 00:06:03,000
Speaker 2: recent months. Leguard has warned that the inflation will fluctuate

105
00:06:03,080 --> 00:06:06,800
Speaker 2: around its current level in the near term. Those are

106
00:06:06,839 --> 00:06:10,520
Speaker 2: your top stories on the markets. Shares in China selling off.

107
00:06:10,520 --> 00:06:14,279
Speaker 2: The hang sing is down by two point two percent,

108
00:06:14,320 --> 00:06:17,080
Speaker 2: the Shanghai Composite two point four percent lower this morning,

109
00:06:17,120 --> 00:06:20,080
Speaker 2: the CSI three hundred down by two point seven percent.

110
00:06:20,600 --> 00:06:24,400
Speaker 2: Eurostocks fifty futures are pointing higher, up eight tenths of

111
00:06:24,640 --> 00:06:27,880
Speaker 2: one percent. In a moment, we'll bring you more on

112
00:06:27,960 --> 00:06:30,440
Speaker 2: those attacks in the United States, plus details of Bloomberg

113
00:06:30,520 --> 00:06:34,200
Speaker 2: Intelligence is Fifty Companies to watch in twenty twenty five.

114
00:06:34,800 --> 00:06:36,560
Speaker 2: But first I wanted to mention another story I've been

115
00:06:36,560 --> 00:06:38,760
Speaker 2: reading this morning in case you're casting about for help

116
00:06:38,800 --> 00:06:41,719
Speaker 2: with your New year's resolution. Cynthia Kohons from our health

117
00:06:41,760 --> 00:06:45,040
Speaker 2: team is dedicated part of her Prognosis newsletter to one

118
00:06:45,080 --> 00:06:46,960
Speaker 2: of my favorite subjects, which is sleep.

119
00:06:47,440 --> 00:06:47,680
Speaker 9: Now.

120
00:06:48,000 --> 00:06:50,080
Speaker 2: I think a lot of us talk about wanting to

121
00:06:50,080 --> 00:06:53,200
Speaker 2: get more sleep, but find ourselves getting easily distracted around

122
00:06:53,360 --> 00:06:56,120
Speaker 2: bedtime and perhaps hadding saying slide and you know you

123
00:06:56,240 --> 00:06:59,680
Speaker 2: end up in a sort of cycle of exhaustion. Cynthia

124
00:06:59,720 --> 00:07:02,840
Speaker 2: spoke to a sleep psychologist about this, and they came

125
00:07:02,920 --> 00:07:06,000
Speaker 2: up with some helpful tips for things that which might

126
00:07:06,040 --> 00:07:07,960
Speaker 2: help get you to bed at a bit early, including

127
00:07:08,000 --> 00:07:11,440
Speaker 2: doing housework in batches, maybe preparing lunches for several days

128
00:07:11,480 --> 00:07:13,880
Speaker 2: at a time, or finding more personal time during the

129
00:07:13,960 --> 00:07:15,400
Speaker 2: days you don't feel like the only moment you have

130
00:07:15,440 --> 00:07:17,920
Speaker 2: for yourself is when you should be going to bed.

131
00:07:18,440 --> 00:07:21,320
Speaker 2: Some helpful hints too for those who wake up during

132
00:07:21,360 --> 00:07:22,840
Speaker 2: the middle of the night and find it difficult to

133
00:07:22,840 --> 00:07:24,640
Speaker 2: get back to sleep. Keep a pad beside the bed,

134
00:07:24,680 --> 00:07:27,360
Speaker 2: write down any thoughts you might have or tasks that

135
00:07:27,400 --> 00:07:30,160
Speaker 2: are preying on your mind. You can read Cynthia's full

136
00:07:30,160 --> 00:07:32,800
Speaker 2: analysis and the Prognosis Health newsletter. You can sign up

137
00:07:32,800 --> 00:07:36,440
Speaker 2: a Bloomberg dot Com forward Slash newsletters. Well, let's turned

138
00:07:36,440 --> 00:07:38,040
Speaker 2: to the US Now. In the New Year's Eve truck

139
00:07:38,080 --> 00:07:40,360
Speaker 2: attack in New Orleans that killed at least fifteen people.

140
00:07:40,520 --> 00:07:43,240
Speaker 2: Hours later, a second incident in Las Vegas, where the

141
00:07:43,240 --> 00:07:46,720
Speaker 2: testa cyber truck exploded outside the Trump Hotel there, our

142
00:07:46,760 --> 00:07:49,280
Speaker 2: senior editor Bill Ferries joins US Now for more. Bill,

143
00:07:49,320 --> 00:07:51,520
Speaker 2: what is the latest on the investigation into the attack

144
00:07:51,800 --> 00:07:52,480
Speaker 2: in New Orleans.

145
00:07:52,480 --> 00:07:56,480
Speaker 10: First of all, well, New Orleans police have identified a

146
00:07:56,560 --> 00:08:00,920
Speaker 10: chief suspect, a forty two year old Army veteran, who

147
00:08:00,960 --> 00:08:03,360
Speaker 10: they believe carried out this attack. They're saying that they

148
00:08:03,560 --> 00:08:09,120
Speaker 10: found in the truck he drove other potential explosive devices,

149
00:08:09,520 --> 00:08:13,280
Speaker 10: as well as a flag or showing support for Islamic State,

150
00:08:13,400 --> 00:08:16,480
Speaker 10: the terrorist group, and they say that there may have

151
00:08:16,520 --> 00:08:20,360
Speaker 10: been other explosive devices planted along that route or in

152
00:08:20,400 --> 00:08:23,200
Speaker 10: the French Quarter that they're looking into.

153
00:08:23,240 --> 00:08:23,520
Speaker 6: Now.

154
00:08:24,480 --> 00:08:27,240
Speaker 10: They don't know a lot more. The investigation has gone

155
00:08:27,280 --> 00:08:30,040
Speaker 10: on to Houston in other areas. They've said that it

156
00:08:30,160 --> 00:08:35,000
Speaker 10: is possible that this driver had assistance or people got

157
00:08:35,000 --> 00:08:37,840
Speaker 10: help from other people. So they're starting to look at

158
00:08:37,840 --> 00:08:41,960
Speaker 10: his acquaintances, his family, and also just scouring through his

159
00:08:42,040 --> 00:08:44,880
Speaker 10: social media feed where there have been reports that he

160
00:08:44,960 --> 00:08:49,480
Speaker 10: has shown a lot of some sympathy apparently for ISIS.

161
00:08:49,520 --> 00:08:51,000
Speaker 10: So that's where we stand.

162
00:08:50,840 --> 00:08:51,319
Speaker 6: At the moment.

163
00:08:51,520 --> 00:08:54,679
Speaker 10: They don't know if there is any connection with this

164
00:08:54,920 --> 00:08:56,920
Speaker 10: attack in Las Vegas as well.

165
00:08:58,120 --> 00:08:58,320
Speaker 6: Well.

166
00:08:58,480 --> 00:09:02,000
Speaker 2: Turning to the expo in Las Vegas that's also being

167
00:09:02,040 --> 00:09:05,480
Speaker 2: investigated as a potential act of terror. What are police

168
00:09:05,480 --> 00:09:07,959
Speaker 2: there focused on well.

169
00:09:07,840 --> 00:09:11,280
Speaker 10: I think you know, the driver in that attack appears

170
00:09:11,320 --> 00:09:14,439
Speaker 10: to have died at the wheel. It's not clear exactly

171
00:09:14,520 --> 00:09:17,560
Speaker 10: what exploded. There was smoke coming from the vehicle, and

172
00:09:17,600 --> 00:09:21,839
Speaker 10: then on on the video that police have released of this,

173
00:09:22,200 --> 00:09:24,679
Speaker 10: you see an explosion take place and then it looks.

174
00:09:24,440 --> 00:09:26,640
Speaker 6: Like a whole bunch of fireworks were going off.

175
00:09:26,679 --> 00:09:30,600
Speaker 10: So it's still not clear what caused that explosion, whether

176
00:09:30,640 --> 00:09:33,280
Speaker 10: it was a bomb or a lot of powerful fireworks,

177
00:09:34,080 --> 00:09:37,560
Speaker 10: it's clear. What Elon Musk and Tesla have said is

178
00:09:37,600 --> 00:09:40,160
Speaker 10: that it wasn't an issue with the with the cyber

179
00:09:40,200 --> 00:09:43,000
Speaker 10: truck itself, but what was put into the trunk of it.

180
00:09:44,679 --> 00:09:46,760
Speaker 2: Do we know if there's any connection between these two

181
00:09:46,760 --> 00:09:48,280
Speaker 2: incidents at this stage.

182
00:09:48,720 --> 00:09:50,960
Speaker 10: We really don't. I mean, the thing that is linking

183
00:09:51,000 --> 00:09:53,680
Speaker 10: them at this point is just the timing occurring just

184
00:09:53,720 --> 00:09:57,840
Speaker 10: a few hours apart. President Biden came and give it,

185
00:09:57,880 --> 00:10:00,040
Speaker 10: gave a speech, a brief speech and said that that

186
00:10:00,559 --> 00:10:03,320
Speaker 10: you know, investigators are looking at possible connections, but that

187
00:10:03,440 --> 00:10:06,040
Speaker 10: there was nothing really at this point as far as

188
00:10:06,080 --> 00:10:08,080
Speaker 10: we know, to link them.

189
00:10:08,559 --> 00:10:11,760
Speaker 2: This of course happening as we're counting down to Donald

190
00:10:11,800 --> 00:10:14,800
Speaker 2: Trump's inauguration in the US as well. What have we

191
00:10:14,880 --> 00:10:17,520
Speaker 2: heard from the president elect and what does this mean for,

192
00:10:17,720 --> 00:10:21,280
Speaker 2: you know, questions around security in the United States.

193
00:10:22,200 --> 00:10:24,600
Speaker 10: Yeah, I think I think on the on the big

194
00:10:24,640 --> 00:10:27,880
Speaker 10: picture question there, it is going to cause a rethink

195
00:10:27,960 --> 00:10:32,160
Speaker 10: of security and how it's done, and particularly in big

196
00:10:32,240 --> 00:10:35,040
Speaker 10: cities where it's you know, where you have points that

197
00:10:35,120 --> 00:10:37,800
Speaker 10: are known gathering places for large crowds. I mean, when

198
00:10:37,800 --> 00:10:40,640
Speaker 10: you're talking about the French Quarter of New Orleans that

199
00:10:40,720 --> 00:10:43,600
Speaker 10: has long been a place where huge crowds gather, There's

200
00:10:43,600 --> 00:10:46,000
Speaker 10: going to be a lot of questions why on some

201
00:10:46,040 --> 00:10:48,800
Speaker 10: of the video that's come out so far, a driver

202
00:10:49,040 --> 00:10:52,520
Speaker 10: is able to just drive around a police barricade there

203
00:10:52,800 --> 00:10:55,560
Speaker 10: and get onto the road. There's going to be another

204
00:10:55,640 --> 00:10:57,520
Speaker 10: look at things like that, And of course, with the

205
00:10:57,559 --> 00:11:01,040
Speaker 10: inauguration occurring in just about eight teen days, I think

206
00:11:01,520 --> 00:11:04,120
Speaker 10: there's going to be another look at security in Washington.

207
00:11:04,480 --> 00:11:07,640
Speaker 10: But back to New Orleans, the city was expected on

208
00:11:07,679 --> 00:11:10,440
Speaker 10: Wednesday night to host a major college football game and

209
00:11:10,480 --> 00:11:14,079
Speaker 10: parade that was all postponed until Thursday. I think we're

210
00:11:14,080 --> 00:11:17,040
Speaker 10: going to get our first look at revived security procedures

211
00:11:17,520 --> 00:11:20,880
Speaker 10: when that parade and game get underway on Thursday in

212
00:11:20,920 --> 00:11:21,800
Speaker 10: the US.

213
00:11:22,160 --> 00:11:24,640
Speaker 2: Okay, both fairies, our senior editor, thank you very much.

214
00:11:26,080 --> 00:11:30,160
Speaker 2: Now to global stock markets, which registered a second consecutive

215
00:11:30,240 --> 00:11:32,320
Speaker 2: year of gains in twenty twenty four, even as the

216
00:11:32,320 --> 00:11:35,480
Speaker 2: overall performance was less than in twenty twenty three. So

217
00:11:35,559 --> 00:11:37,640
Speaker 2: what's in store for the year to come. Bloomberg Intelligence

218
00:11:37,640 --> 00:11:40,160
Speaker 2: has compiled a list of fifty companies to watch in

219
00:11:40,200 --> 00:11:43,640
Speaker 2: twenty twenty five from across industries and regions, and Tim

220
00:11:43,720 --> 00:11:46,840
Speaker 2: craighead director of Research a Bloomberg Intelligence, is in studio

221
00:11:46,880 --> 00:11:48,720
Speaker 2: with us for more this morning. Good morning to you, Tim,

222
00:11:48,720 --> 00:11:50,400
Speaker 2: and happy new year. First of all, can you talk

223
00:11:50,480 --> 00:11:52,960
Speaker 2: us through how you come up with the broad themes

224
00:11:53,040 --> 00:11:54,760
Speaker 2: we should be thinking about this year.

225
00:11:55,120 --> 00:11:57,600
Speaker 9: Yeah, absolutely, Thanks for having me on and have a

226
00:11:57,600 --> 00:12:03,040
Speaker 9: new year. This list of fifty companies comes largely from

227
00:12:03,120 --> 00:12:06,480
Speaker 9: our broader list of what we call focus ideas, and

228
00:12:05,640 --> 00:12:09,840
Speaker 9: these are companies where we have a strong view that

229
00:12:10,920 --> 00:12:14,440
Speaker 9: we believe is out of consensus, are differentiated from what

230
00:12:14,520 --> 00:12:17,840
Speaker 9: the market thinks, and they've got catalysts coming up that

231
00:12:18,040 --> 00:12:23,280
Speaker 9: can change the market's mindset. All of these fifty specifically

232
00:12:23,400 --> 00:12:26,760
Speaker 9: have important catalysts coming up in twenty twenty five that

233
00:12:26,800 --> 00:12:29,400
Speaker 9: we think make them relevant for this coming year.

234
00:12:29,920 --> 00:12:33,000
Speaker 6: So that's how we've selected it. It's very bottom.

235
00:12:32,760 --> 00:12:35,360
Speaker 9: Up and then we'll look at what buckets they come

236
00:12:35,400 --> 00:12:39,160
Speaker 9: in as opposed to thinking about top down strategies per se.

237
00:12:40,280 --> 00:12:43,040
Speaker 9: So it's an interesting thing relative to what you see

238
00:12:43,040 --> 00:12:44,839
Speaker 9: a lot of times coming from a macro view.

239
00:12:44,960 --> 00:12:46,240
Speaker 6: This is very micro.

240
00:12:46,360 --> 00:12:48,800
Speaker 2: Yes, and indeed some of the kind of key themes.

241
00:12:48,840 --> 00:12:50,520
Speaker 2: If we think about AI just being one of them,

242
00:12:50,559 --> 00:12:52,840
Speaker 2: we heard so much about it last year as well.

243
00:12:53,120 --> 00:12:56,080
Speaker 2: How should we think about this in twenty twenty five?

244
00:12:56,320 --> 00:12:58,319
Speaker 2: Will it be less US focused?

245
00:12:58,320 --> 00:13:03,240
Speaker 9: Perhaps interesting that last year we had a lot of

246
00:13:03,240 --> 00:13:08,200
Speaker 9: AI related names. They tended to be software oriented. This year,

247
00:13:08,320 --> 00:13:12,280
Speaker 9: it's more in the enabling technologies where analysts are focused

248
00:13:12,320 --> 00:13:17,240
Speaker 9: on so high bandwidth memory, which is a micron technology story.

249
00:13:17,360 --> 00:13:21,360
Speaker 9: Some of the equipment companies or tool makers like KLA

250
00:13:21,520 --> 00:13:28,120
Speaker 9: that feed into making these things. The one non US

251
00:13:28,240 --> 00:13:31,040
Speaker 9: company it is US centric in this instance. The one

252
00:13:31,080 --> 00:13:34,880
Speaker 9: non US company is a company called VAT Group, which

253
00:13:34,920 --> 00:13:36,760
Speaker 9: makes vacuum technology.

254
00:13:36,760 --> 00:13:37,760
Speaker 6: And you think, what is that.

255
00:13:38,600 --> 00:13:43,240
Speaker 9: You've got to have a vacuum within the semiconductor manufacturing process,

256
00:13:43,360 --> 00:13:46,800
Speaker 9: and these guys make the high end vacuums that allow

257
00:13:47,559 --> 00:13:48,280
Speaker 9: this to happen.

258
00:13:49,080 --> 00:13:50,319
Speaker 6: Really interesting company.

259
00:13:50,400 --> 00:13:54,840
Speaker 9: There's certainly others in the AI story that are European,

260
00:13:55,160 --> 00:13:58,200
Speaker 9: for example, that are going to be worth watching. That

261
00:13:58,280 --> 00:14:01,680
Speaker 9: were ones that we've considered, like say a Schneider Electric,

262
00:14:01,760 --> 00:14:05,160
Speaker 9: which you know is an infrastructure play but quite important

263
00:14:05,160 --> 00:14:07,280
Speaker 9: for data centers, and so I think that'll be an

264
00:14:07,320 --> 00:14:11,560
Speaker 9: area to watch beyond just simply the US tech specific ideas.

265
00:14:11,640 --> 00:14:14,079
Speaker 2: Okay, so nature of wars of vacuum technology loves us.

266
00:14:14,080 --> 00:14:17,000
Speaker 2: Good to know, Tim Craig has. Let's turn then to

267
00:14:17,080 --> 00:14:19,040
Speaker 2: some of the other kind of big themes. Of course,

268
00:14:19,080 --> 00:14:23,280
Speaker 2: we've got Donald Trump's presidency very much in focus for

269
00:14:23,440 --> 00:14:26,560
Speaker 2: where the calls coming from Wall Street forecasters are. What

270
00:14:26,640 --> 00:14:28,760
Speaker 2: about the companies that you've been thinking about on their

271
00:14:28,840 --> 00:14:31,160
Speaker 2: exposure to to Donald Trump.

272
00:14:31,320 --> 00:14:32,120
Speaker 6: Yeah, it's interesting.

273
00:14:32,160 --> 00:14:35,560
Speaker 9: If I look across the list, the biggest group of

274
00:14:35,640 --> 00:14:39,160
Speaker 9: companies from a global vantage point, it doesn't really matter

275
00:14:39,160 --> 00:14:42,560
Speaker 9: where they're located. That play into a Trump mindset is

276
00:14:43,360 --> 00:14:46,200
Speaker 9: they're stimulus economic growth stories.

277
00:14:47,320 --> 00:14:47,880
Speaker 6: So they're not.

278
00:14:48,040 --> 00:14:52,760
Speaker 9: Specific to Trump, but they if we see his policies

279
00:14:52,840 --> 00:14:57,040
Speaker 9: being stimulative as expected at DECO.

280
00:14:57,120 --> 00:14:59,080
Speaker 6: You know, it's an employment story.

281
00:15:00,200 --> 00:15:04,440
Speaker 9: Air Bus from the standpoint of ongoing pick up and travel.

282
00:15:04,720 --> 00:15:08,360
Speaker 9: And you know, there's also a supply chain improvement story

283
00:15:08,400 --> 00:15:12,200
Speaker 9: with with Airbus that we think plays through Remy Quantroe.

284
00:15:13,720 --> 00:15:17,440
Speaker 9: You know, it's been it's been a difficult period for

285
00:15:17,520 --> 00:15:20,720
Speaker 9: them from a US consumption perspective, and higher interest rates

286
00:15:20,800 --> 00:15:24,920
Speaker 9: have been an issue as well, just from a retailers

287
00:15:25,040 --> 00:15:29,720
Speaker 9: holding on to stock. Lower interest rates plus a good

288
00:15:29,880 --> 00:15:33,200
Speaker 9: US consumer we think can play advantage to them. You know,

289
00:15:33,800 --> 00:15:37,480
Speaker 9: home building picking up in the US and beyond plays

290
00:15:37,520 --> 00:15:41,080
Speaker 9: in to Signify, which is the world's largest lighting company,

291
00:15:41,120 --> 00:15:43,480
Speaker 9: the spin out from a couple of years ago out

292
00:15:43,480 --> 00:15:47,680
Speaker 9: of Phillips Electronics, which is you know, Signifies a European company.

293
00:15:47,760 --> 00:15:52,160
Speaker 9: Those are all plays into that cyclical mindset of a

294
00:15:52,200 --> 00:15:56,960
Speaker 9: Trump presidency. I would also mention that as much as

295
00:15:57,120 --> 00:16:00,840
Speaker 9: is viewed about him being a non climate change sort

296
00:16:00,840 --> 00:16:04,239
Speaker 9: of person, we don't think he stops the energy transition.

297
00:16:04,440 --> 00:16:10,240
Speaker 9: And there are companies like RWE, the European electric utility

298
00:16:10,280 --> 00:16:14,520
Speaker 9: company that's bought into clean power in the US that

299
00:16:14,560 --> 00:16:16,760
Speaker 9: we think will be quite important. Frankly, that's more of

300
00:16:16,800 --> 00:16:19,600
Speaker 9: an AI play because you can't power AI and all

301
00:16:19,640 --> 00:16:23,800
Speaker 9: the data centers unless you start building out clean energy

302
00:16:24,360 --> 00:16:29,600
Speaker 9: to power that the AI transformation so interesting ways to

303
00:16:29,640 --> 00:16:31,840
Speaker 9: think about Trump beyond just simply policy.

304
00:16:33,320 --> 00:16:36,040
Speaker 2: This is Bloomberg Daybreak Europe, your morning brief on the

305
00:16:36,120 --> 00:16:39,160
Speaker 2: stories making news from London to Wall Street and beyond.

306
00:16:39,440 --> 00:16:43,440
Speaker 1: Look for us on your podcast feed every morning, on Apple, Spotify,

307
00:16:43,520 --> 00:16:45,480
Speaker 1: and anywhere else you get your podcasts.

308
00:16:45,520 --> 00:16:48,520
Speaker 2: You can also listen live each morning on London Dab Radio,

309
00:16:48,600 --> 00:16:51,280
Speaker 2: the Bloomberg Business app, and Bloomberg dot Com.

310
00:16:51,320 --> 00:16:54,080
Speaker 1: Our flagship New York station is also available on your

311
00:16:54,120 --> 00:16:58,840
Speaker 1: Amazon Alexa devices. Just say Alexa play Bloomberg eleven thirty.

312
00:16:59,080 --> 00:17:00,360
Speaker 1: I'm Caroline Heppy and.

313
00:17:00,280 --> 00:17:02,960
Speaker 2: I'm Stephen Carroll. Join us again tomorrow morning for all

314
00:17:03,000 --> 00:17:05,440
Speaker 2: the news you need to start your day right here

315
00:17:05,440 --> 00:17:14,720
Speaker 2: on Bloomberg Daybreak Europe