1 00:00:02,520 --> 00:00:07,080 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:07,320 --> 00:00:10,040 Speaker 2: Let's turn out to the latest earnings news. The NASDAQ 3 00:00:10,119 --> 00:00:13,800 Speaker 2: saw its best first half for listing since twenty twenty one, 4 00:00:13,920 --> 00:00:17,959 Speaker 2: despite the volatility around trade and policy. The exchange also 5 00:00:18,200 --> 00:00:22,360 Speaker 2: beating profit estimates in its second quarter. Let's get details 6 00:00:22,400 --> 00:00:26,119 Speaker 2: now with Adena Friedman, NASDAK chair and CEO, and Adena, 7 00:00:26,160 --> 00:00:28,760 Speaker 2: great having you here. I have been talking about this 8 00:00:28,800 --> 00:00:30,480 Speaker 2: all morning long because I think it's such an amazing 9 00:00:30,560 --> 00:00:35,680 Speaker 2: sign for markets. Tell us how you navigated this first half. 10 00:00:36,000 --> 00:00:37,400 Speaker 3: Yeah, well, first of all, we're really proud of the 11 00:00:37,479 --> 00:00:40,200 Speaker 3: overall performance of the business. So we had twelve percent 12 00:00:40,240 --> 00:00:43,519 Speaker 3: revenue growth, twenty four percent EPs growth, and it really 13 00:00:43,640 --> 00:00:46,199 Speaker 3: was growth across all of our divisions. So as you know, 14 00:00:46,240 --> 00:00:49,000 Speaker 3: we have our financial Technology division ten percent growth. They're 15 00:00:49,320 --> 00:00:52,640 Speaker 3: really great momentum with our clients and the strategic capabilities 16 00:00:52,640 --> 00:00:56,520 Speaker 3: we offer around risk management, antifin crime, CREDE, infrastructure. And 17 00:00:56,560 --> 00:01:00,320 Speaker 3: then we also had nine percent growth in capital access plums, 18 00:01:00,320 --> 00:01:03,959 Speaker 3: which includes our index business seventeen percent growth there as 19 00:01:03,960 --> 00:01:07,600 Speaker 3: well as our listings and data and analytics businesses, and 20 00:01:07,640 --> 00:01:10,560 Speaker 3: so the listing's business has definitely improved as we've gone 21 00:01:10,600 --> 00:01:13,199 Speaker 3: through the year. As you mentioned, we had eighty three 22 00:01:13,240 --> 00:01:15,760 Speaker 3: IPOs in the first half of the year and three 23 00:01:15,760 --> 00:01:18,240 Speaker 3: of the top five, so we're really unexpected. 24 00:01:18,319 --> 00:01:22,720 Speaker 2: I mean, we have been i think talking down to 25 00:01:22,760 --> 00:01:26,839 Speaker 2: some extent the potential for exits and IPOs in general, 26 00:01:26,880 --> 00:01:30,080 Speaker 2: and it's really beaten the street. Well. 27 00:01:30,120 --> 00:01:31,760 Speaker 3: I think that first of all, the companies that have 28 00:01:31,840 --> 00:01:33,880 Speaker 3: come out, and particularly a little large calf companies have 29 00:01:33,920 --> 00:01:35,800 Speaker 3: done well so far this year, which is of course 30 00:01:35,800 --> 00:01:40,280 Speaker 3: giving investors more confidence and underwriting that risk capital, giving 31 00:01:40,319 --> 00:01:42,840 Speaker 3: companies more confidence that now maybe the time to come out. 32 00:01:43,040 --> 00:01:46,880 Speaker 3: We're having a lot more conversations around putting dates on calendars, 33 00:01:47,040 --> 00:01:49,800 Speaker 3: really focusing on post Labor Day, but with some companies 34 00:01:50,080 --> 00:01:52,559 Speaker 3: coming out over the summer as well. But that post 35 00:01:52,600 --> 00:01:55,640 Speaker 3: labor day period, if the economy stays healthy as it is, 36 00:01:55,680 --> 00:01:57,840 Speaker 3: if the markets stay healthy as they are, and we 37 00:01:57,920 --> 00:01:59,800 Speaker 3: obviously see a lot of volumes in the second quarter 38 00:01:59,840 --> 00:02:02,520 Speaker 3: as well, that driver results. But we I think we 39 00:02:02,600 --> 00:02:05,400 Speaker 3: could see a very active second half of the year. 40 00:02:05,520 --> 00:02:09,160 Speaker 1: Also curious about the limitations because really strangely, you've seen 41 00:02:09,200 --> 00:02:11,840 Speaker 1: a lot of the companies that came out, like Circle 42 00:02:12,120 --> 00:02:14,040 Speaker 1: just Soar, a lot of crypto companies, a lot of 43 00:02:14,080 --> 00:02:16,640 Speaker 1: bitcoins backs that are making it to market now, So 44 00:02:16,840 --> 00:02:18,680 Speaker 1: what does this mean for the types of companies that 45 00:02:18,840 --> 00:02:20,560 Speaker 1: will do well in the future. A little earlier, I 46 00:02:20,600 --> 00:02:23,040 Speaker 1: was talking to John Gray about Medline, which was supposed 47 00:02:23,040 --> 00:02:25,480 Speaker 1: to be one of the year's biggest IPOs, yet we 48 00:02:25,520 --> 00:02:28,200 Speaker 1: haven't seen it yet. So what's still being impacted that 49 00:02:28,240 --> 00:02:29,280 Speaker 1: can't make it out yet. 50 00:02:29,280 --> 00:02:31,160 Speaker 3: Well, I think yeah, it is. You're right that it 51 00:02:31,200 --> 00:02:33,880 Speaker 3: is sector specific. So if you think about the companies 52 00:02:33,880 --> 00:02:36,360 Speaker 3: that have come out and done well, biotech is starting 53 00:02:36,360 --> 00:02:38,200 Speaker 3: to really come back. We're having more companies. We had 54 00:02:38,240 --> 00:02:40,800 Speaker 3: Caris life Cycle, life Science come out in the quarter. 55 00:02:40,919 --> 00:02:45,880 Speaker 3: Really excited about that, but also tech, you know, software, AI, 56 00:02:46,000 --> 00:02:49,080 Speaker 3: infrastructure like a core weave, as well as areas in 57 00:02:49,080 --> 00:02:50,760 Speaker 3: the crypto space. So those are all what I would 58 00:02:50,760 --> 00:02:54,960 Speaker 3: say more digital oriented companies. Companies that where tariffs may 59 00:02:55,040 --> 00:02:57,840 Speaker 3: still have an impact, are taking a little bit longer 60 00:02:57,880 --> 00:03:00,960 Speaker 3: to understand the nature of the mar markets and how 61 00:03:01,000 --> 00:03:05,160 Speaker 3: to allow investors to have predictability in their earnings. And 62 00:03:05,200 --> 00:03:07,400 Speaker 3: I think that those types of companies that have more 63 00:03:07,520 --> 00:03:13,000 Speaker 3: and more dependence on what I would call the physical economy, 64 00:03:13,200 --> 00:03:14,880 Speaker 3: they're taking a little bit longer to get out the door. 65 00:03:16,600 --> 00:03:20,800 Speaker 2: Meme stocks have come back in a fairly interesting way, 66 00:03:21,200 --> 00:03:24,680 Speaker 2: and I guess retail trading is just driving this higher. 67 00:03:24,720 --> 00:03:25,920 Speaker 2: Do you feel that as well? 68 00:03:26,200 --> 00:03:29,400 Speaker 3: I think retail has been very active in the markets. Definitely. 69 00:03:30,040 --> 00:03:31,720 Speaker 3: You saw a lot of. 70 00:03:32,280 --> 00:03:35,480 Speaker 2: Retail drove us back from the April second drop, right, 71 00:03:36,320 --> 00:03:40,120 Speaker 2: But is it even further accelerating with this new meme style? 72 00:03:40,920 --> 00:03:41,640 Speaker 1: Can it keep going? 73 00:03:41,840 --> 00:03:43,720 Speaker 3: Yeah? I mean I can only say retail has been 74 00:03:43,760 --> 00:03:46,400 Speaker 3: an active participant in the market now for five years. Ever, 75 00:03:46,560 --> 00:03:49,200 Speaker 3: you know, COVID really brought a new generation of retail 76 00:03:49,200 --> 00:03:53,920 Speaker 3: investors into the market. Those investors have been very sustainable. 77 00:03:54,000 --> 00:03:56,720 Speaker 3: You know, they've been very resilient. They're very active in 78 00:03:56,760 --> 00:03:59,960 Speaker 3: the markets as well, driving up index you know, interest 79 00:04:00,040 --> 00:04:02,880 Speaker 3: and indexes and index products as well as the fact 80 00:04:02,880 --> 00:04:04,440 Speaker 3: that they're very active in the markets. And we did 81 00:04:04,440 --> 00:04:07,520 Speaker 3: see an increase in retail volumes second quarter this year 82 00:04:07,600 --> 00:04:10,480 Speaker 3: versus last year, so we're definitely seeing a very active 83 00:04:10,520 --> 00:04:13,920 Speaker 3: retail engagement. We're also selling our data around the world, 84 00:04:13,920 --> 00:04:17,120 Speaker 3: so it's global retail. So our data business was up 85 00:04:17,160 --> 00:04:19,679 Speaker 3: seven percent in the quarter, and that is really driven 86 00:04:19,720 --> 00:04:23,119 Speaker 3: by international demand for our data to have their interest 87 00:04:23,160 --> 00:04:25,960 Speaker 3: in US stocks as continue to grow and we're going 88 00:04:26,000 --> 00:04:27,680 Speaker 3: all over the world without data today. 89 00:04:27,839 --> 00:04:31,280 Speaker 1: Speaking of data, the sister is AI, right, And so 90 00:04:31,400 --> 00:04:33,160 Speaker 1: when it comes to AI, I know you're rolling out 91 00:04:33,240 --> 00:04:36,279 Speaker 1: more products to banks and financial institutions later this year 92 00:04:36,680 --> 00:04:39,040 Speaker 1: AI agents that could help them with a lot of 93 00:04:39,160 --> 00:04:41,839 Speaker 1: the parts of your growing business in financial technology and 94 00:04:41,880 --> 00:04:45,480 Speaker 1: to financial crime. What does this do ultimately to save 95 00:04:45,640 --> 00:04:48,080 Speaker 1: costs for others at the end of the day, does 96 00:04:48,120 --> 00:04:50,799 Speaker 1: it mean that headcount can be reduced by any means. 97 00:04:50,680 --> 00:04:51,080 Speaker 2: Or for you? 98 00:04:51,800 --> 00:04:55,160 Speaker 3: Yeah, So basically we do we evaluate our products and 99 00:04:55,240 --> 00:04:58,320 Speaker 3: look at how do we create new capabilities to make 100 00:04:58,360 --> 00:05:01,200 Speaker 3: our clients more efficient. AI is one of the biggest 101 00:05:01,279 --> 00:05:04,080 Speaker 3: unlocks we've seen in many years. I mean, so first, 102 00:05:04,279 --> 00:05:07,800 Speaker 3: we've moved our product base into cloud, We've modernized the 103 00:05:07,839 --> 00:05:11,960 Speaker 3: data management that underpins our product base, and particularly with Verifin, 104 00:05:12,000 --> 00:05:15,279 Speaker 3: which is our anti financial crime suite. We've leveraged ANAI 105 00:05:15,440 --> 00:05:18,200 Speaker 3: for many years to root out criminals and now with 106 00:05:18,240 --> 00:05:21,239 Speaker 3: a gentic AI to make the workflows a lot more efficient. 107 00:05:21,320 --> 00:05:23,760 Speaker 3: So the new thing we've launched for these digital workers, 108 00:05:24,279 --> 00:05:28,680 Speaker 3: they're agents really that come in and basically take it. 109 00:05:28,839 --> 00:05:31,480 Speaker 3: They do all the assessment of the alerts, they do 110 00:05:31,520 --> 00:05:34,280 Speaker 3: the write ups and they do this submissions so that 111 00:05:34,600 --> 00:05:38,120 Speaker 3: you're taking down the actual workload of the humans within 112 00:05:38,160 --> 00:05:40,480 Speaker 3: the group by eighty percent. So that is a huge 113 00:05:40,480 --> 00:05:43,280 Speaker 3: efficiency opportunity for the banks to be able to solve 114 00:05:43,320 --> 00:05:46,520 Speaker 3: this problem more successfully and more efficiently. And then we're 115 00:05:46,520 --> 00:05:49,640 Speaker 3: also doing in ANXMSL, we're starting to bring in work 116 00:05:50,120 --> 00:05:52,760 Speaker 3: basically augentic capabilities to make it so that we can 117 00:05:52,760 --> 00:05:55,839 Speaker 3: do the veritory reporting their surveillance. There's a lot of 118 00:05:55,880 --> 00:05:58,200 Speaker 3: places where efficiency can be gained here. 119 00:05:58,560 --> 00:06:03,760 Speaker 2: I wonder about the tokenization that we've seen at robin Hood. 120 00:06:04,040 --> 00:06:08,520 Speaker 2: You know, they're allowing Europeans to trade US security through tokenization. 121 00:06:08,320 --> 00:06:10,680 Speaker 1: Without having the underlying cash flow. I think that's an 122 00:06:10,720 --> 00:06:11,480 Speaker 1: important part of this too. 123 00:06:11,720 --> 00:06:15,200 Speaker 2: How do you view that and what can that do 124 00:06:15,279 --> 00:06:16,039 Speaker 2: for the industry? 125 00:06:16,440 --> 00:06:19,680 Speaker 3: Well, so, to me, tokenization is a technology, it's a 126 00:06:19,720 --> 00:06:24,240 Speaker 3: way to you know, so the technology itself can be 127 00:06:24,320 --> 00:06:26,200 Speaker 3: used to do a lot of new things. But when 128 00:06:26,200 --> 00:06:28,680 Speaker 3: we're looking at how it's being used right now in 129 00:06:28,720 --> 00:06:31,479 Speaker 3: public securities, I think that it's really kind of a 130 00:06:31,560 --> 00:06:34,479 Speaker 3: very similar construct to contracts for difference, which has existed 131 00:06:34,520 --> 00:06:36,680 Speaker 3: in Europe for many years, where you own a financial 132 00:06:36,720 --> 00:06:39,880 Speaker 3: interest in the company, but not the underlying shares themselves. 133 00:06:40,200 --> 00:06:43,840 Speaker 3: We also have things like fractionalized shares in the United 134 00:06:43,880 --> 00:06:46,480 Speaker 3: States and owning fractional shares. It's the same kind of idea. 135 00:06:46,560 --> 00:06:49,200 Speaker 3: So so far what we see in terms of toganization 136 00:06:49,279 --> 00:06:52,640 Speaker 3: is really just a new technology to deliver a similar 137 00:06:52,680 --> 00:06:55,520 Speaker 3: thing where you can have a financial interest without actually 138 00:06:55,520 --> 00:06:58,200 Speaker 3: owning the underlying equity. At the end of the day, 139 00:06:58,320 --> 00:07:01,560 Speaker 3: that underlying equity ultimately does need to block bill and 140 00:07:01,760 --> 00:07:04,400 Speaker 3: owned and that then of course slows into the market. 141 00:07:04,520 --> 00:07:06,680 Speaker 3: So to us, it's just another way to use that 142 00:07:06,720 --> 00:07:08,760 Speaker 3: technology to open up access. 143 00:07:08,760 --> 00:07:09,720 Speaker 2: So will you use it too? 144 00:07:10,240 --> 00:07:14,400 Speaker 3: So we are we provide the foundational infrastructure that allows 145 00:07:14,440 --> 00:07:17,080 Speaker 3: retail brokers to offer things like that, to allow the data. 146 00:07:17,400 --> 00:07:19,640 Speaker 3: The data is super important to that. We have obviously 147 00:07:19,720 --> 00:07:21,720 Speaker 3: our own index products where we'd love for them to 148 00:07:21,760 --> 00:07:24,200 Speaker 3: be able to offer those out through this new technology. 149 00:07:24,480 --> 00:07:26,640 Speaker 3: But we so we're very excited to work with the 150 00:07:26,680 --> 00:07:30,440 Speaker 3: industry on this as an enabler and as the core infrastructure. 151 00:07:30,680 --> 00:07:33,680 Speaker 1: Very interesting that is a nasakchre and CEO Adina Friedman