1
00:00:02,520 --> 00:00:16,040
Speaker 1: Bloomberg Audio Studios, Podcasts, radio News single Best Idea Hyperscaler Edition.

2
00:00:16,880 --> 00:00:19,200
Speaker 1: It was just a whole ton of conversation error as

3
00:00:19,200 --> 00:00:22,720
Speaker 1: we lift off the five six eight day AI Hyperscaler,

4
00:00:22,760 --> 00:00:25,239
Speaker 1: fear and all that. Man Deep Sing I had a

5
00:00:25,320 --> 00:00:28,560
Speaker 1: long conversation with him yesterday up in the acclaimed food court.

6
00:00:29,000 --> 00:00:32,320
Speaker 1: I took notes. I listened because he really knows what

7
00:00:32,400 --> 00:00:35,839
Speaker 1: he's talking about. Man Deep sing on this moment for

8
00:00:35,920 --> 00:00:38,200
Speaker 1: the hyperscalers.

9
00:00:37,520 --> 00:00:41,479
Speaker 2: All the hyperscalers, we started the year thinking they're going

10
00:00:41,560 --> 00:00:44,280
Speaker 2: to grow their cap at thirty percent. Now that number

11
00:00:44,320 --> 00:00:48,680
Speaker 2: is sixty percent. Some of that increases because of memory prices,

12
00:00:49,200 --> 00:00:52,360
Speaker 2: but then you are also seeing an increased plans to

13
00:00:52,600 --> 00:00:56,760
Speaker 2: add capacity, and that's where an Nvidia willa likely have

14
00:00:56,960 --> 00:01:01,080
Speaker 2: upside to their numbers tonight. The question still remains around

15
00:01:01,120 --> 00:01:04,360
Speaker 2: the sustainability of growth, because when you are growing seventy

16
00:01:04,400 --> 00:01:07,240
Speaker 2: percent at the scale that Nvidia is at, you know,

17
00:01:07,400 --> 00:01:10,119
Speaker 2: three hundred billion dollar run rate for twenty twenty six,

18
00:01:10,640 --> 00:01:12,679
Speaker 2: the growth rates will taper. It's a given.

19
00:01:13,520 --> 00:01:16,160
Speaker 1: Mandeep Sing there, I can't say enough about what Bloomberg

20
00:01:16,160 --> 00:01:19,240
Speaker 1: Intelligence is built. Man Deep Singer, anarag Roda in credit

21
00:01:19,600 --> 00:01:24,120
Speaker 1: Robert Schiffman publishing daily on the debt and the dynamics

22
00:01:24,160 --> 00:01:27,800
Speaker 1: of the debt of the hyperscalers, the Max seven crew,

23
00:01:27,840 --> 00:01:30,200
Speaker 1: it's a huge value. Add most of that you're going

24
00:01:30,240 --> 00:01:33,839
Speaker 1: to get at the Bloomberg terminal. One of the cool

25
00:01:33,920 --> 00:01:36,839
Speaker 1: things about the show and I have this phrase rip

26
00:01:36,920 --> 00:01:40,039
Speaker 1: up the script, which is we can rip up the

27
00:01:40,120 --> 00:01:43,600
Speaker 1: script and go to the news, or we can rip

28
00:01:43,680 --> 00:01:49,840
Speaker 1: up the script and get incredible valuable insight that you

29
00:01:49,880 --> 00:01:54,440
Speaker 1: wouldn't expect from somebody with a different conversation. Chanel Desaill

30
00:01:55,120 --> 00:01:58,160
Speaker 1: of Franklin Templeton, the CIO of all of their huge

31
00:01:58,200 --> 00:02:05,320
Speaker 1: fixed income platform, you'd expect from her a typical fixing platform.

32
00:02:05,360 --> 00:02:08,440
Speaker 1: We took an audible today and we ripped up the script.

33
00:02:09,240 --> 00:02:14,120
Speaker 1: How do the major firms take in the debt of

34
00:02:14,160 --> 00:02:17,560
Speaker 1: the hyperscal is here's Sonelda Si Franklin Templeton.

35
00:02:18,000 --> 00:02:22,480
Speaker 3: I would say that these hyperscalers essentially are dictating to

36
00:02:22,600 --> 00:02:25,000
Speaker 3: the street. And this is the truth over the last

37
00:02:25,080 --> 00:02:28,080
Speaker 3: year when we look at the sheer volume of debt

38
00:02:28,080 --> 00:02:31,280
Speaker 3: which has been issued, that there is a certain amount

39
00:02:31,480 --> 00:02:36,920
Speaker 3: of expectation of some indigestion as we go further into

40
00:02:36,919 --> 00:02:41,040
Speaker 3: this year, because even those initial assumptions that we would

41
00:02:41,040 --> 00:02:45,079
Speaker 3: have around our trillion of issues this year has now

42
00:02:45,320 --> 00:02:48,920
Speaker 3: picked up to over seven hundred billion this year itself.

43
00:02:49,360 --> 00:02:52,560
Speaker 3: I'd say that we're watching all this with some question.

44
00:02:53,120 --> 00:02:55,240
Speaker 3: It's not that we think the deals will go bad,

45
00:02:55,320 --> 00:02:58,000
Speaker 3: but sprints are likely to take a bit of a

46
00:02:58,080 --> 00:02:59,640
Speaker 3: hit from the quantity.

47
00:02:59,200 --> 00:03:02,800
Speaker 1: Of share all you center to side. They're very valuable

48
00:03:02,840 --> 00:03:05,760
Speaker 1: for Global at Wall Street, trying to find the entire

49
00:03:05,960 --> 00:03:08,880
Speaker 1: file out at Bloomberg and at the video Hub as

50
00:03:08,919 --> 00:03:12,360
Speaker 1: well a new project for Bloomberg all of our videos

51
00:03:12,400 --> 00:03:16,960
Speaker 1: combined together at Bloomberg dot com. On podcasts, we're on Apple,

52
00:03:17,000 --> 00:03:22,720
Speaker 1: We're on Spotify, on YouTube podcasts. It's single best idea.