1 00:00:02,520 --> 00:00:07,080 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:07,360 --> 00:00:10,600 Speaker 2: Saplea's first quarter profit tot analyst estimates, even as the 3 00:00:10,640 --> 00:00:14,120 Speaker 2: software giants closely watched cloud software revenue came in slightly 4 00:00:14,640 --> 00:00:17,200 Speaker 2: below projects and joining mean now is Kristin Glight, the 5 00:00:17,239 --> 00:00:20,799 Speaker 2: CEO of SAP Christin I've been looking through the analyst 6 00:00:20,840 --> 00:00:23,960 Speaker 2: notes broadly positive in terms of the reaction. Of course, 7 00:00:24,239 --> 00:00:26,480 Speaker 2: trade gate is flagging some pretty decent upside for the 8 00:00:26,520 --> 00:00:30,880 Speaker 2: stock this morning. To what extent is the business contained 9 00:00:31,680 --> 00:00:35,839 Speaker 2: going forward given the trade tensions, given the challenging macroeconomic environment, 10 00:00:36,080 --> 00:00:39,040 Speaker 2: some unlysts saying there is reassurance in these results, that 11 00:00:39,520 --> 00:00:41,720 Speaker 2: is that sustained through the future quarters. 12 00:00:41,760 --> 00:00:44,360 Speaker 1: Do you think, yeah, good morning, Tom. Yeah. 13 00:00:44,440 --> 00:00:48,280 Speaker 3: Indeed, SEP had a very very good start into the year. 14 00:00:48,360 --> 00:00:51,200 Speaker 3: We posted swan Q one results and look out also 15 00:00:51,280 --> 00:00:54,480 Speaker 3: at the resiliency behind the numbers. I mean, when you 16 00:00:54,480 --> 00:00:57,960 Speaker 3: look at our corn cloud backlock, it's up twenty nine percent. 17 00:00:58,040 --> 00:01:02,480 Speaker 3: That gives us high predictabile also for the next twelve months. 18 00:01:02,880 --> 00:01:06,520 Speaker 3: Next one is recovering revenue to share is about eighty 19 00:01:06,600 --> 00:01:09,160 Speaker 3: six percent. And you know when you have a recovering 20 00:01:09,240 --> 00:01:12,200 Speaker 3: revenue share of eighty six percent. Again you have hy 21 00:01:12,280 --> 00:01:15,880 Speaker 3: predictability how you can deliver your total revenue and then 22 00:01:15,920 --> 00:01:19,560 Speaker 3: finally operating profit up fifty eight percent. We are driving 23 00:01:19,600 --> 00:01:23,400 Speaker 3: also a lot of transformation inside a SPAI makes us 24 00:01:23,440 --> 00:01:27,200 Speaker 3: more deficient in coding software, delivering software, and that is 25 00:01:27,240 --> 00:01:30,880 Speaker 3: also now paying off. And these will be also impacting 26 00:01:30,920 --> 00:01:34,840 Speaker 3: our total business. And that's why we confirmed our guidance 27 00:01:34,840 --> 00:01:35,240 Speaker 3: for the year. 28 00:01:36,600 --> 00:01:39,280 Speaker 2: Christine, the US is your most important market. What would 29 00:01:39,280 --> 00:01:42,800 Speaker 2: a recession in the US mean for your business there 30 00:01:42,840 --> 00:01:44,440 Speaker 2: and for your customers and clients. 31 00:01:45,160 --> 00:01:47,920 Speaker 3: Look, I was just last week in the United States 32 00:01:47,960 --> 00:01:51,000 Speaker 3: and talk to many customers, which all is also impacted 33 00:01:51,040 --> 00:01:54,640 Speaker 3: already by tariffs. I mean when they're talking to sp 34 00:01:55,120 --> 00:01:58,240 Speaker 3: what they need is software to helping to manage those 35 00:01:58,320 --> 00:02:01,160 Speaker 3: tariffs in sometimes over one hundred and certain countries in 36 00:02:01,200 --> 00:02:03,800 Speaker 3: the world, they need software from a SAP on the 37 00:02:03,800 --> 00:02:06,800 Speaker 3: supply chain side to make them more resilient. That's why 38 00:02:06,840 --> 00:02:10,040 Speaker 3: we see currently still also a very strong pipeline in 39 00:02:10,120 --> 00:02:13,440 Speaker 3: the United States. Now, obviously it's hard to predict what 40 00:02:13,520 --> 00:02:17,280 Speaker 3: will happen in the next ninety days, so that's when 41 00:02:17,320 --> 00:02:19,880 Speaker 3: we are moving into a recession. Of course, no company 42 00:02:19,919 --> 00:02:23,440 Speaker 3: is completely a moon against the recession. But again, what 43 00:02:23,480 --> 00:02:25,920 Speaker 3: we see in the market, what customers are telling us 44 00:02:26,080 --> 00:02:29,440 Speaker 3: is that SEP is very very relevant, especially in times 45 00:02:29,520 --> 00:02:29,840 Speaker 3: like that. 46 00:02:31,280 --> 00:02:34,160 Speaker 2: And so to be clear, Christian, you're not seeing evidence, 47 00:02:34,520 --> 00:02:37,560 Speaker 2: significant evidence yet of customers and clients in the US 48 00:02:37,600 --> 00:02:40,400 Speaker 2: A wels we're pulling back on spending at this point. 49 00:02:42,280 --> 00:02:44,680 Speaker 1: No pullback on spending on on SAP. 50 00:02:44,800 --> 00:02:47,120 Speaker 3: I mean, obviously, what they are telling me is, Christian, 51 00:02:47,400 --> 00:02:51,280 Speaker 3: helped me to drive productivity, give me more AI on 52 00:02:51,680 --> 00:02:54,760 Speaker 3: asset management, on supply chain, how can I automate several 53 00:02:54,840 --> 00:02:57,320 Speaker 3: tasks in my back office functions? I mean, that is 54 00:02:57,360 --> 00:02:59,480 Speaker 3: of course what they are now more and more asking for. 55 00:02:59,520 --> 00:03:02,320 Speaker 3: Given you know that they are under financial pressure, but 56 00:03:02,360 --> 00:03:04,320 Speaker 3: what we are not seeing yet is that they are 57 00:03:04,320 --> 00:03:07,239 Speaker 3: actually delaying projects or even cutting projects. 58 00:03:08,520 --> 00:03:10,520 Speaker 2: You're also a big vendor to the US government. Have 59 00:03:10,600 --> 00:03:13,720 Speaker 2: you seen any impact from the cuts by by Doge 60 00:03:13,760 --> 00:03:16,800 Speaker 2: and Musk's team there has had an impact on SAP 61 00:03:16,880 --> 00:03:17,680 Speaker 2: at all in the US? 62 00:03:18,400 --> 00:03:22,200 Speaker 3: Are we actually working together really well with many agencies 63 00:03:22,280 --> 00:03:26,040 Speaker 3: in the United States. We are helping them actually again 64 00:03:26,120 --> 00:03:29,560 Speaker 3: to drive more productivity, to deliver more outcome for the 65 00:03:29,720 --> 00:03:33,960 Speaker 3: US citizens. And so the collaboration is tired is good. 66 00:03:34,320 --> 00:03:37,040 Speaker 3: And actually what they also like is when when it 67 00:03:37,080 --> 00:03:40,160 Speaker 3: comes to AI and our so uncloud in Washington that 68 00:03:40,240 --> 00:03:43,040 Speaker 3: we are also driving a lot of investments, you are 69 00:03:43,080 --> 00:03:46,640 Speaker 3: to help them on detche and again to drive more productivity. 70 00:03:48,880 --> 00:03:53,360 Speaker 2: Christ do you expect personally do you expect a recession? 71 00:03:53,960 --> 00:03:57,000 Speaker 2: And if so and if not, are you preparing what 72 00:03:57,080 --> 00:04:00,560 Speaker 2: steps are you taking to mitigate a slowdown and glow growth? 73 00:04:01,280 --> 00:04:04,520 Speaker 3: But Tom, look, it's so hard to predict. I mean, 74 00:04:04,560 --> 00:04:06,600 Speaker 3: how often did you wake up in the morning in 75 00:04:06,640 --> 00:04:09,520 Speaker 3: the last weeks and thought, oh, now everything you know 76 00:04:09,600 --> 00:04:11,880 Speaker 3: turns more to the negative side. The next day it's 77 00:04:11,920 --> 00:04:15,480 Speaker 3: actually more positive. So it's so hard to predict. You know, 78 00:04:15,840 --> 00:04:18,120 Speaker 3: all what I can do as the CEO of SEP 79 00:04:18,640 --> 00:04:21,960 Speaker 3: we have very very relevant technology. We need to help 80 00:04:22,000 --> 00:04:25,880 Speaker 3: our customers to overcome, you know, those types of uncertainty. 81 00:04:25,920 --> 00:04:27,640 Speaker 1: This is what I can focus on. 82 00:04:27,880 --> 00:04:31,000 Speaker 3: And so far, so good, and we remain confident for 83 00:04:31,040 --> 00:04:31,920 Speaker 3: the rest of the year. 84 00:04:34,200 --> 00:04:35,839 Speaker 2: You touch on AI and I know it's an important 85 00:04:35,839 --> 00:04:37,840 Speaker 2: part of the business. You're integrating it and you're shipping 86 00:04:37,839 --> 00:04:40,120 Speaker 2: it as well. Christian, just broadly, where do you think 87 00:04:40,200 --> 00:04:45,279 Speaker 2: Europe stands in the competitive race on AI? Versus China 88 00:04:45,400 --> 00:04:46,200 Speaker 2: versus the US. 89 00:04:47,560 --> 00:04:51,599 Speaker 3: I mean, Tom, when I see something very positive out 90 00:04:51,640 --> 00:04:56,039 Speaker 3: of the last weeks, you know, geopolitical wise, that is 91 00:04:56,080 --> 00:05:00,520 Speaker 3: definitely that Europe is coming together more strongly. Also with 92 00:05:00,640 --> 00:05:05,400 Speaker 3: regard to AI, I see strong will now to cut regulations, 93 00:05:05,440 --> 00:05:09,000 Speaker 3: to harmonize regulations, and that is what Europe needs. We 94 00:05:09,080 --> 00:05:12,400 Speaker 3: cannot regulate before we innovate, and we are shipping so 95 00:05:12,480 --> 00:05:15,200 Speaker 3: many AI use cases, but we are facing in every 96 00:05:15,240 --> 00:05:19,200 Speaker 3: country so many regulations, which is hard to make business 97 00:05:19,240 --> 00:05:22,800 Speaker 3: for our customers enterire CP. And we see very positive 98 00:05:22,839 --> 00:05:26,159 Speaker 3: signs now coming from Brussels that we will see a 99 00:05:26,240 --> 00:05:29,560 Speaker 3: more united Europe also with regard to digital, so that 100 00:05:29,880 --> 00:05:31,400 Speaker 3: I see really as a positive. 101 00:05:33,080 --> 00:05:35,359 Speaker 2: So you're seeing those signs and you're seeing those positive 102 00:05:35,440 --> 00:05:38,560 Speaker 2: changes coming through from Brussels. How big is the gap now, 103 00:05:38,680 --> 00:05:41,480 Speaker 2: the lag between Europe, for example in the US and China. 104 00:05:41,520 --> 00:05:43,479 Speaker 2: When do you see in what time frames you see 105 00:05:43,480 --> 00:05:45,760 Speaker 2: that being closed if these changes are made. 106 00:05:46,640 --> 00:05:49,000 Speaker 3: And when I look at our auto industry, when I 107 00:05:49,040 --> 00:05:52,039 Speaker 3: look at chemical retail and comparedis you know to our 108 00:05:52,120 --> 00:05:55,000 Speaker 3: customers in China and the United States, I mean there's 109 00:05:55,040 --> 00:05:55,960 Speaker 3: definitely a gap. 110 00:05:56,240 --> 00:05:58,480 Speaker 1: What we need in Europe. 111 00:05:58,000 --> 00:06:01,200 Speaker 3: Is not like trying desperate, you know, to bring up 112 00:06:01,200 --> 00:06:04,719 Speaker 3: another AI company. What we need is to apply AI 113 00:06:04,960 --> 00:06:07,960 Speaker 3: to be more stronger, more competitive in the industries we 114 00:06:08,000 --> 00:06:10,440 Speaker 3: are strong at. And I see now a lot of 115 00:06:10,560 --> 00:06:14,960 Speaker 3: companies here in Europe really moving forward on transforming their 116 00:06:15,000 --> 00:06:19,560 Speaker 3: business model, infusing AI to drive productivity, to drive more 117 00:06:19,640 --> 00:06:22,640 Speaker 3: healthier quos. So I'm seeing that and I'm really hopeful 118 00:06:22,640 --> 00:06:25,160 Speaker 3: in the next twelve to twenty four months, when I 119 00:06:25,200 --> 00:06:27,920 Speaker 3: look at our plans and those ones of our customers 120 00:06:27,960 --> 00:06:31,159 Speaker 3: in Europe, that we can certainly shrink the gap to 121 00:06:31,240 --> 00:06:32,880 Speaker 3: other companies around the world. 122 00:06:34,880 --> 00:06:37,599 Speaker 2: Christian Clients, CEO of SAP, thank you very much indeed 123 00:06:37,600 --> 00:06:40,080 Speaker 2: on the first quarter profit be and the expectations around 124 00:06:40,080 --> 00:06:41,520 Speaker 2: Europe and AI