1 00:00:02,520 --> 00:00:07,080 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:07,320 --> 00:00:10,520 Speaker 2: Shairs of HP are down this morning after giving a 3 00:00:10,520 --> 00:00:14,320 Speaker 2: profit outlook that fell short of market expectations. The computer 4 00:00:14,600 --> 00:00:18,239 Speaker 2: maker citing the impact of rising component costs and tariffs 5 00:00:18,239 --> 00:00:21,680 Speaker 2: on goods from China. Joining us now is Enrique Lores 6 00:00:22,160 --> 00:00:25,360 Speaker 2: HP CEO, as well as here on the desk with 7 00:00:25,440 --> 00:00:30,200 Speaker 2: me co host of Bloomberg Technology Caroline Hyde. Enrique, let 8 00:00:30,200 --> 00:00:33,600 Speaker 2: me first ask you about these job cuts. You're gonna 9 00:00:34,120 --> 00:00:37,519 Speaker 2: cut two thousand workers or as many as two thousand 10 00:00:37,560 --> 00:00:41,440 Speaker 2: workers to save three hundred million dollars a year, must 11 00:00:41,479 --> 00:00:44,120 Speaker 2: be partially in response to these tariffs. Right, where are 12 00:00:44,159 --> 00:00:45,560 Speaker 2: those jobs going to be lost? 13 00:00:46,840 --> 00:00:49,040 Speaker 3: Well, first of all, thank you, thank you for having 14 00:00:49,080 --> 00:00:52,400 Speaker 3: me here. This is part of the restructuring program that 15 00:00:52,479 --> 00:00:55,680 Speaker 3: we started with the company almost three years ago, and 16 00:00:55,720 --> 00:00:58,360 Speaker 3: we have been very selective and very strategical. Where to 17 00:00:58,400 --> 00:01:01,840 Speaker 3: make these cuts is not only cats. We are more 18 00:01:01,880 --> 00:01:05,200 Speaker 3: doing rebalancing of because at the same time we're investing 19 00:01:05,280 --> 00:01:08,240 Speaker 3: in other areas. But that's really a part of our 20 00:01:08,280 --> 00:01:10,600 Speaker 3: long term plan that we have put in place, and 21 00:01:10,720 --> 00:01:12,600 Speaker 3: really we are now about to finish that at the 22 00:01:12,720 --> 00:01:13,240 Speaker 3: end of the year. 23 00:01:13,920 --> 00:01:17,000 Speaker 2: But where where are those jobs? Are American job's going 24 00:01:17,040 --> 00:01:18,039 Speaker 2: to be lost here in Regain. 25 00:01:18,800 --> 00:01:21,840 Speaker 3: I think it's all over the company. We have been 26 00:01:22,040 --> 00:01:25,520 Speaker 3: identifying areas where we needed to be more precise, and 27 00:01:25,560 --> 00:01:28,759 Speaker 3: we haven't shared externally the specifics or where this will happen, 28 00:01:29,040 --> 00:01:31,039 Speaker 3: but I can tell you is one of the decisions 29 00:01:31,080 --> 00:01:33,440 Speaker 3: we make with more care because we know that relevance 30 00:01:33,440 --> 00:01:34,720 Speaker 3: this has for our employees. 31 00:01:35,880 --> 00:01:39,160 Speaker 1: Okay, we know that you were looking at stripping out costs. 32 00:01:39,880 --> 00:01:41,920 Speaker 1: When it comes to that stripping out of costs, is 33 00:01:41,959 --> 00:01:45,480 Speaker 1: it as Mattin implies in reaction to also the component 34 00:01:45,520 --> 00:01:48,280 Speaker 1: costs that are going up the China tariffs as you speak, 35 00:01:48,320 --> 00:01:50,560 Speaker 1: as we've been speaking about on the Nning School, for example. 36 00:01:51,800 --> 00:01:54,640 Speaker 3: I think it's a combination of multiple factors. When we 37 00:01:54,680 --> 00:01:58,360 Speaker 3: look at the short term, clearly component costs and tariffs 38 00:01:58,400 --> 00:02:01,080 Speaker 3: are going to be having an increase. But also this 39 00:02:01,240 --> 00:02:03,880 Speaker 3: is part of the effort to make the company more 40 00:02:03,880 --> 00:02:06,520 Speaker 3: competitive in the long term and to be able to 41 00:02:06,600 --> 00:02:09,360 Speaker 3: invest in the areas where we see long term growth 42 00:02:09,800 --> 00:02:12,880 Speaker 3: we have. We are positioning the company to lead in 43 00:02:12,919 --> 00:02:15,640 Speaker 3: what we call the future of work, and this requires 44 00:02:15,919 --> 00:02:21,440 Speaker 3: incremental investments in areas like AI, in areas to customer experience, 45 00:02:21,680 --> 00:02:24,520 Speaker 3: and this has been driving these savings allow us to 46 00:02:24,560 --> 00:02:27,120 Speaker 3: also invest in the areas of growth for the future. 47 00:02:27,360 --> 00:02:30,359 Speaker 1: But how quickly is the AIPC, for example, really coming 48 00:02:30,400 --> 00:02:32,600 Speaker 1: on tap and driving demand. I know there's good growth 49 00:02:32,639 --> 00:02:35,639 Speaker 1: twenty five percent, but it's from a standing start. So ultimately, 50 00:02:35,680 --> 00:02:38,880 Speaker 1: when do you think the percentage of aipcs will match 51 00:02:38,960 --> 00:02:40,520 Speaker 1: what's already being shifted to the market. 52 00:02:40,600 --> 00:02:44,359 Speaker 3: For example, our current expectation is that by the end 53 00:02:44,360 --> 00:02:48,200 Speaker 3: of this year, aipcs will represent more than twenty five 54 00:02:48,280 --> 00:02:52,519 Speaker 3: percent of all PC shipments. So it's really growing very fast. 55 00:02:52,880 --> 00:02:56,280 Speaker 3: As you said, market wise, quarter over quarter we saw 56 00:02:56,360 --> 00:02:59,000 Speaker 3: growth of twenty five percent, So they are starting to 57 00:02:59,040 --> 00:03:02,240 Speaker 3: be a relevant part of our portfolio and a relevant 58 00:03:02,240 --> 00:03:04,880 Speaker 3: part of the mix. And this is because of the 59 00:03:05,080 --> 00:03:08,640 Speaker 3: incremental value that they bring. When customers use that, they 60 00:03:08,680 --> 00:03:12,000 Speaker 3: can experience AI at the edge, which means it is 61 00:03:12,280 --> 00:03:15,480 Speaker 3: lower cost, it is cheaper, it is faster than doing 62 00:03:15,520 --> 00:03:18,440 Speaker 3: it in the cloud, and it's also more secure because 63 00:03:18,440 --> 00:03:20,320 Speaker 3: you can use your local data, you don't need to 64 00:03:20,320 --> 00:03:22,959 Speaker 3: bring the data to the cloud, and you can manage 65 00:03:23,000 --> 00:03:23,760 Speaker 3: everything locally. 66 00:03:24,520 --> 00:03:29,600 Speaker 2: So part of the reason that the Trump administration is 67 00:03:29,600 --> 00:03:33,680 Speaker 2: putting on these tariffs is to bring production back to 68 00:03:33,720 --> 00:03:36,920 Speaker 2: the US. And obviously there's not a lot of computer 69 00:03:37,000 --> 00:03:40,720 Speaker 2: final assembly in this country or our printers for that matter. 70 00:03:41,280 --> 00:03:44,560 Speaker 2: Are you reacting at all to this by moving production 71 00:03:44,720 --> 00:03:45,560 Speaker 2: to the US. 72 00:03:47,280 --> 00:03:50,440 Speaker 3: What we have learned during the last three years is 73 00:03:50,480 --> 00:03:53,279 Speaker 3: that we always need to be looking at different scenarios 74 00:03:53,360 --> 00:03:56,560 Speaker 3: of how to evolve our supply chain, and this is 75 00:03:56,560 --> 00:03:59,000 Speaker 3: what we have done in the last two years. Moving 76 00:03:59,040 --> 00:04:01,520 Speaker 3: manufacturing into the E is one of the scenarios that 77 00:04:01,560 --> 00:04:04,600 Speaker 3: we are contemplating. We haven't made any decisions yet. 78 00:04:05,760 --> 00:04:08,480 Speaker 1: How expensive would that make components? Though, Enrique, are we 79 00:04:08,560 --> 00:04:11,760 Speaker 1: going to see pressure on component prices and your ultimate 80 00:04:11,800 --> 00:04:15,080 Speaker 1: bottom line continue if you're having to shift the manufacturer 81 00:04:15,280 --> 00:04:16,480 Speaker 1: closer to the US. 82 00:04:17,320 --> 00:04:20,719 Speaker 3: I think one of the challenges of bringing manufacturing back 83 00:04:20,760 --> 00:04:23,080 Speaker 3: to the US is what you just said is not 84 00:04:23,120 --> 00:04:26,120 Speaker 3: only the assembly that we will be doing. Is what 85 00:04:26,200 --> 00:04:29,600 Speaker 3: will it take to bring all the different components, all 86 00:04:29,640 --> 00:04:33,200 Speaker 3: the different suppliers that we have and have the manufacturer here. 87 00:04:33,480 --> 00:04:36,440 Speaker 3: And this is going to be a much longer process, 88 00:04:36,480 --> 00:04:38,520 Speaker 3: and it's part of the evaluation that we are doing. 89 00:04:38,880 --> 00:04:41,479 Speaker 1: Is it much incentive for you to do so? Other 90 00:04:41,560 --> 00:04:45,720 Speaker 1: than political pressure? Are getting enough carrot rather than just 91 00:04:45,760 --> 00:04:47,800 Speaker 1: stick coming from the federal government. 92 00:04:48,960 --> 00:04:52,320 Speaker 3: I think there are different reasons to make our subbly 93 00:04:52,480 --> 00:04:55,120 Speaker 3: chain food prim more flexible, and this is what we 94 00:04:55,200 --> 00:04:58,479 Speaker 3: have been doing over the last years. One is requirements 95 00:04:58,480 --> 00:05:01,279 Speaker 3: from different governments, and different governments have put in place 96 00:05:01,680 --> 00:05:06,240 Speaker 3: different requirements. Also, another incentive is logistics cost. It will 97 00:05:06,240 --> 00:05:10,359 Speaker 3: be of course cheaper to produce products closer to where 98 00:05:10,680 --> 00:05:15,440 Speaker 3: customers are and also provides more flexibility and in terms 99 00:05:15,440 --> 00:05:18,720 Speaker 3: of time for response to customer demand. So there are 100 00:05:18,760 --> 00:05:21,640 Speaker 3: some benefits of building products locally and this is one 101 00:05:21,680 --> 00:05:23,680 Speaker 3: of the reasons that where we have gone from a 102 00:05:23,760 --> 00:05:26,640 Speaker 3: very centralized model that we had a few years ago 103 00:05:26,880 --> 00:05:29,120 Speaker 3: to a more decentralized model that we have now. 104 00:05:29,640 --> 00:05:34,080 Speaker 2: Riquet, how is the brand progressing? You know, somebody of 105 00:05:34,160 --> 00:05:38,080 Speaker 2: my age knows the name Hewlett Packard, but not the 106 00:05:38,160 --> 00:05:43,120 Speaker 2: simple two letter acronym HP. You have obviously a real 107 00:05:43,160 --> 00:05:46,719 Speaker 2: opportunity to make a change there as the kids start 108 00:05:46,800 --> 00:05:50,400 Speaker 2: using computers more for AI or as AI starts to 109 00:05:50,480 --> 00:05:53,960 Speaker 2: drive sales. So how is pushing this brand in your 110 00:05:53,960 --> 00:05:56,240 Speaker 2: growth as simply HP progressing? 111 00:05:57,480 --> 00:05:59,960 Speaker 3: We think that the brand is one of the key 112 00:06:00,160 --> 00:06:03,039 Speaker 3: acts that we have in the company and during the 113 00:06:03,080 --> 00:06:06,719 Speaker 3: last twenty four months, we have significantly increased the investment 114 00:06:07,320 --> 00:06:10,040 Speaker 3: that we do in the brand and we for example 115 00:06:10,080 --> 00:06:14,080 Speaker 3: have signed some global sponsorships with keysport teams to be 116 00:06:14,120 --> 00:06:17,400 Speaker 3: able to really make the brand more visible. And this, 117 00:06:17,560 --> 00:06:20,279 Speaker 3: for example why we sign an agreement with Ferrari to 118 00:06:20,440 --> 00:06:24,520 Speaker 3: be the title sponsor of Ferrari last year. Additionally, to 119 00:06:24,600 --> 00:06:27,120 Speaker 3: bring kids. This is one of the to the brand 120 00:06:27,160 --> 00:06:30,160 Speaker 3: and to the company. This is one of the areas 121 00:06:30,200 --> 00:06:33,240 Speaker 3: where our gaming business is relevant. We are one of 122 00:06:33,240 --> 00:06:37,040 Speaker 3: the key gaming suppliers in the world, and by having 123 00:06:37,040 --> 00:06:40,720 Speaker 3: a strong presence in gaming, we can attract kids and 124 00:06:40,760 --> 00:06:42,159 Speaker 3: young people to the brand. 125 00:06:42,520 --> 00:06:45,440 Speaker 1: You're talking math's language when you bring up Ferrari and 126 00:06:45,600 --> 00:06:49,799 Speaker 1: video games. I'm video caase that that matter, Enriquey. Going 127 00:06:49,800 --> 00:06:51,600 Speaker 1: into the weeds there a bit on the tech side 128 00:06:51,600 --> 00:06:55,400 Speaker 1: of things. You made a really interesting purchase recently of Humane. 129 00:06:55,600 --> 00:06:59,880 Speaker 1: It was a much hyped Generator AI hardware and software 130 00:07:00,000 --> 00:07:04,520 Speaker 1: company ex Apple founders. They sold to you the talent, 131 00:07:04,560 --> 00:07:07,680 Speaker 1: the tech, but not actually the hardware pen I'm interested 132 00:07:07,680 --> 00:07:10,360 Speaker 1: in You're not thinking about Generative AIS a hardware piece 133 00:07:10,360 --> 00:07:12,400 Speaker 1: in that respect, how does it help your business? 134 00:07:13,360 --> 00:07:17,120 Speaker 3: We think that the acquisition of Humane has been a 135 00:07:17,240 --> 00:07:19,960 Speaker 3: very smart mood for us. We are getting a very 136 00:07:20,000 --> 00:07:24,160 Speaker 3: talented team and we are getting key software technology that 137 00:07:24,200 --> 00:07:27,680 Speaker 3: we can integrate in the rest of the portfolio. One 138 00:07:27,680 --> 00:07:30,800 Speaker 3: of the key strategies of the company is really about 139 00:07:31,160 --> 00:07:35,400 Speaker 3: integrating AI into all of our products so customers can 140 00:07:35,480 --> 00:07:39,920 Speaker 3: experience AI ad ed and Humane has key technologies that 141 00:07:40,000 --> 00:07:43,440 Speaker 3: will allow us to accelerate that development. So it's really 142 00:07:43,520 --> 00:07:45,760 Speaker 3: a big part of where we are taking the company 143 00:07:45,920 --> 00:07:48,440 Speaker 3: and we're very pleased having been able to do that. 144 00:07:49,200 --> 00:07:51,960 Speaker 2: Enrique really appreciate the time today. And Ricky Loris there 145 00:07:52,120 --> 00:07:57,040 Speaker 2: is the CEO of HP and of course thank you 146 00:07:57,040 --> 00:07:59,160 Speaker 2: as well to Caroline Height of Bloomberg Tech and no 147 00:07:59,480 --> 00:08:01,320 Speaker 2: really pret please. 148 00:08:01,040 --> 00:08:04,080 Speaker 1: Bring us more when they mentioned Ferrari. 149 00:08:03,760 --> 00:08:06,880 Speaker 2: To exactly, I mean, Ferrari is really a tech company, right, 150 00:08:06,920 --> 00:08:11,080 Speaker 2: and each of their suspension pieces on the new SUV 151 00:08:11,360 --> 00:08:14,800 Speaker 2: are like supercomputers in themselves and on. 152 00:08:14,880 --> 00:08:16,840 Speaker 1: We seeing the pressure on the computer on wheels that 153 00:08:16,920 --> 00:08:19,120 Speaker 1: is Tesla at the moment, and just ultimately all of 154 00:08:19,120 --> 00:08:21,000 Speaker 1: these business Whenever you go to the mobile world congresses 155 00:08:21,040 --> 00:08:22,880 Speaker 1: of the world and the big tech conferences, it always 156 00:08:22,880 --> 00:08:25,040 Speaker 1: basically be about autos about to go there just as 157 00:08:25,040 --> 00:08:27,400 Speaker 1: a little shout out, But in general it has been 158 00:08:27,440 --> 00:08:29,800 Speaker 1: all about the autos, all about the intersection of car. 159 00:08:29,880 --> 00:08:31,440 Speaker 1: And it's so interesting when you speak to Mark Gumman, 160 00:08:31,560 --> 00:08:33,600 Speaker 1: just really saying the biggest loss that Apple ever made 161 00:08:33,880 --> 00:08:36,079 Speaker 1: was not doing the car anymore. 162 00:08:36,160 --> 00:08:39,280 Speaker 4: Same story, right, car play is so ubiquitous, but car 163 00:08:39,280 --> 00:08:41,080 Speaker 4: plays at threat in some ways. 164 00:08:41,320 --> 00:08:44,920 Speaker 2: Yes, No, that I think was the most interesting thing 165 00:08:44,960 --> 00:08:47,079 Speaker 2: I learned last week of anything. 166 00:08:47,480 --> 00:08:49,560 Speaker 1: But I also loved how you tried to push him on, 167 00:08:49,640 --> 00:08:52,000 Speaker 1: like where are these job cucks happening? How are they happening? 168 00:08:52,000 --> 00:08:53,360 Speaker 1: Because this is something we've got to focus on. When 169 00:08:53,360 --> 00:08:56,920 Speaker 1: you got Autodeskla software company today also announcing thirteen hundred 170 00:08:56,960 --> 00:08:59,000 Speaker 1: jobs going you got almost two thousand coming from HP. 171 00:08:59,280 --> 00:09:01,120 Speaker 1: This is a drip drip, drip effect. We are not 172 00:09:01,160 --> 00:09:04,320 Speaker 1: seeing the jobs being added that maybe we thought with technology, 173 00:09:04,440 --> 00:09:06,160 Speaker 1: data centers don't employ that many people. 174 00:09:06,280 --> 00:09:07,960 Speaker 4: And to the point that you've been making here so 175 00:09:08,000 --> 00:09:10,400 Speaker 4: many different job cuts for different reasons around the world 176 00:09:10,440 --> 00:09:13,000 Speaker 4: and in the United States. Remember Meta also announced some 177 00:09:13,040 --> 00:09:14,520 Speaker 4: drob cuts as well. Caroly And we have to leave 178 00:09:14,520 --> 00:09:14,800 Speaker 4: it there. 179 00:09:14,920 --> 00:09:15,440 Speaker 1: We thank you. 180 00:09:15,440 --> 00:09:18,080 Speaker 4: You're a real hero to the whole network this week