1 00:00:00,040 --> 00:00:02,639 Speaker 1: There's one stock that's really been moving over the past 2 00:00:02,680 --> 00:00:04,840 Speaker 1: ten days that we're keeping an eye on, a firm 3 00:00:05,120 --> 00:00:09,200 Speaker 1: around fifteen percent higher over that time frame. It's the 4 00:00:09,280 --> 00:00:12,560 Speaker 1: highest it's been since February. And Affirm this week announcing 5 00:00:12,760 --> 00:00:16,279 Speaker 1: that US Apple Pay users can buy now and pay 6 00:00:16,360 --> 00:00:19,239 Speaker 1: later for as low as zero percent APR. The new 7 00:00:19,280 --> 00:00:22,360 Speaker 1: agreement will allow users checking out online or in app 8 00:00:22,600 --> 00:00:25,200 Speaker 1: with Apple Pay on iPhones and their iPad to be 9 00:00:25,239 --> 00:00:27,760 Speaker 1: able to pay over time with Affirm. And we are 10 00:00:27,840 --> 00:00:30,960 Speaker 1: joined by none other than a firm's co founder and CEO, 11 00:00:31,280 --> 00:00:33,920 Speaker 1: Max Levchin. How does this change the game for you, 12 00:00:34,120 --> 00:00:38,600 Speaker 1: because obviously a lot of users use Apple Pay. Apple's 13 00:00:38,680 --> 00:00:42,720 Speaker 1: own entry into financial services has been a massive wonder 14 00:00:42,840 --> 00:00:45,600 Speaker 1: of the industry, to say the least, But now the 15 00:00:45,840 --> 00:00:49,559 Speaker 1: addition of buying now paying later through a firm, what 16 00:00:49,720 --> 00:00:51,120 Speaker 1: is the expectation here? 17 00:00:53,240 --> 00:00:54,520 Speaker 2: It was just really exciting. 18 00:00:54,760 --> 00:01:00,320 Speaker 3: It's first and foremost, it's unbelievably great to have direct 19 00:01:00,320 --> 00:01:06,080 Speaker 3: integration into a really best in my biased opinion, I'm 20 00:01:06,080 --> 00:01:09,480 Speaker 3: sure digital wallet out there super early days. We've been 21 00:01:09,520 --> 00:01:11,920 Speaker 3: lived for three days, so you know, don't ask me 22 00:01:11,959 --> 00:01:16,280 Speaker 3: for results just yet. But the actual implementation is wonderful, 23 00:01:16,319 --> 00:01:21,240 Speaker 3: and so I'm very excited about the possibilities here. Obviously, 24 00:01:21,319 --> 00:01:24,320 Speaker 3: it's going to be great for consumers that love their 25 00:01:24,319 --> 00:01:27,880 Speaker 3: digital wallet, but it's also going to be amazing for retailers. 26 00:01:27,920 --> 00:01:29,399 Speaker 2: It's just in time for the holidays. 27 00:01:29,440 --> 00:01:33,600 Speaker 3: You'll be able to use your Apple Pay affirm integration 28 00:01:33,800 --> 00:01:36,840 Speaker 3: to buy gifts, to affirm all the things you need 29 00:01:36,880 --> 00:01:38,480 Speaker 3: to have for your loved ones, et cetera. 30 00:01:38,560 --> 00:01:40,840 Speaker 2: So just just really excited about the possibilities. 31 00:01:40,880 --> 00:01:43,080 Speaker 1: It's interesting you and I are old enough to remember 32 00:01:43,200 --> 00:01:45,800 Speaker 1: years ago when I was bothering you left and right 33 00:01:45,840 --> 00:01:47,600 Speaker 1: about what it would mean for Apple to get into 34 00:01:47,600 --> 00:01:50,560 Speaker 1: buy now, Pay Later, and now they're partnering with you. 35 00:01:50,680 --> 00:01:53,480 Speaker 1: There was a time where people would worry about whether 36 00:01:53,560 --> 00:01:56,760 Speaker 1: that would create a significant competitive force. The way the 37 00:01:56,840 --> 00:02:00,640 Speaker 1: landscape is shaking out is through partnership and massive way 38 00:02:00,680 --> 00:02:03,280 Speaker 1: with the giant tech companies. How do you expect that 39 00:02:03,360 --> 00:02:06,840 Speaker 1: to continue to extend because it seems like a pretty 40 00:02:06,840 --> 00:02:10,320 Speaker 1: massive change from what we saw a few years ago. 41 00:02:10,680 --> 00:02:15,000 Speaker 3: It's still a very young industry and partnering well is 42 00:02:15,520 --> 00:02:17,720 Speaker 3: what we have become known for. 43 00:02:17,960 --> 00:02:20,359 Speaker 2: You know, we count the largest. 44 00:02:20,040 --> 00:02:23,839 Speaker 3: Retailers, the largest platforms, some of the best known brands 45 00:02:23,880 --> 00:02:26,639 Speaker 3: in the world among our partners, and it's always for 46 00:02:26,840 --> 00:02:30,320 Speaker 3: the same very basic set of reasons. We treat both 47 00:02:30,400 --> 00:02:32,880 Speaker 3: sides of the customer ecosystem right. 48 00:02:33,200 --> 00:02:36,720 Speaker 2: We don't charge lead fees, we don't hurt our consumers. 49 00:02:36,720 --> 00:02:39,800 Speaker 3: We're very careful to say yes and know when we 50 00:02:39,800 --> 00:02:41,320 Speaker 3: don't believe someone will pay us back. 51 00:02:41,720 --> 00:02:44,400 Speaker 2: And we really deliver value for retailers. 52 00:02:44,760 --> 00:02:50,160 Speaker 3: We increase their average sales, we help them drive conversion 53 00:02:50,200 --> 00:02:52,440 Speaker 3: at the point of sale. And so those two things 54 00:02:52,520 --> 00:02:55,360 Speaker 3: combined make us data deal partner. And you know, it 55 00:02:55,480 --> 00:02:58,560 Speaker 3: helps to be built by very serious computer scientists, which 56 00:02:58,600 --> 00:03:01,240 Speaker 3: means that we can scale with volume. The spikes you 57 00:03:01,280 --> 00:03:04,480 Speaker 3: see during Black Friday and the holiday season are pretty 58 00:03:04,480 --> 00:03:07,120 Speaker 3: significant technical challenges and we're just very very good at it, 59 00:03:07,200 --> 00:03:09,720 Speaker 3: and so that's why we're picked by the best brands 60 00:03:09,760 --> 00:03:11,360 Speaker 3: out there to be partnered with. 61 00:03:12,000 --> 00:03:15,200 Speaker 1: Another aspect of this is you have seen some of 62 00:03:15,200 --> 00:03:18,200 Speaker 1: the retailers you work with. Some have had some knockout 63 00:03:18,280 --> 00:03:21,160 Speaker 1: numbers in the last couple of months, but others have 64 00:03:21,280 --> 00:03:24,240 Speaker 1: really faced weaknesses in the consumer And if you think 65 00:03:24,360 --> 00:03:28,320 Speaker 1: about the path forward here with that interest rate cut, 66 00:03:28,520 --> 00:03:31,080 Speaker 1: how does that really change the game? Do you expect 67 00:03:31,160 --> 00:03:35,120 Speaker 1: consumers to still be this bifurcated in the market. Do 68 00:03:35,160 --> 00:03:39,000 Speaker 1: you still expect significant weaknesses until we see a much 69 00:03:39,040 --> 00:03:40,920 Speaker 1: more significant level of cuts. 70 00:03:42,760 --> 00:03:48,240 Speaker 3: It quite good to predict macroeconomic events as as well 71 00:03:48,280 --> 00:03:50,640 Speaker 3: as that I probably would have a very different job. 72 00:03:50,840 --> 00:03:54,800 Speaker 3: But a firm consumer is buying and shopping. We've just 73 00:03:54,840 --> 00:03:57,520 Speaker 3: reported numbers a couple of weeks ago. They look very strong. 74 00:03:57,760 --> 00:04:01,000 Speaker 3: We are forecasting a really great growth going forward in 75 00:04:01,000 --> 00:04:01,800 Speaker 3: this fiscal year. 76 00:04:02,320 --> 00:04:04,440 Speaker 2: So cautiously optimistic. 77 00:04:04,680 --> 00:04:07,920 Speaker 3: US consumer is shopping, they're buying, they're paying their bills 78 00:04:08,160 --> 00:04:11,040 Speaker 3: with a firm and so that seems to be going well. 79 00:04:11,360 --> 00:04:14,880 Speaker 3: The FED lowering the interest rate obviously among other things, 80 00:04:14,880 --> 00:04:17,640 Speaker 3: suggest the FED is worried about too much of a 81 00:04:17,640 --> 00:04:21,000 Speaker 3: slowdown and that their war on inflation has now been 82 00:04:21,000 --> 00:04:25,400 Speaker 3: bla blah one. So you know, I'm in a cautious 83 00:04:25,440 --> 00:04:29,920 Speaker 3: posture relative to US consumer. That said, we're seeing great demand. 84 00:04:30,839 --> 00:04:32,920 Speaker 1: What are you expecting for the holiday season? You were 85 00:04:32,960 --> 00:04:35,080 Speaker 1: talking about that a little bit before. You were talking 86 00:04:35,080 --> 00:04:37,159 Speaker 1: about how you expect people to pay for their holiday 87 00:04:37,160 --> 00:04:40,400 Speaker 1: shopping on Apple pay who if you guys, among other things. 88 00:04:40,839 --> 00:04:43,839 Speaker 1: What do you think will happen this holiday season? Relative 89 00:04:43,839 --> 00:04:45,919 Speaker 1: to years past from what you know. 90 00:04:47,120 --> 00:04:50,039 Speaker 3: This being an easy prediction to make, but I'm relatively 91 00:04:50,080 --> 00:04:53,800 Speaker 3: sure this holiday season will be the greatest number of 92 00:04:53,839 --> 00:04:55,640 Speaker 3: people affirming their gifts ever. 93 00:04:55,800 --> 00:05:00,640 Speaker 2: That's my prediction for our business. I do expect there. 94 00:05:00,440 --> 00:05:05,960 Speaker 3: To be a significant amount of AI curated gift lists. 95 00:05:05,960 --> 00:05:07,760 Speaker 3: I think that's a big new thing, and there'll be 96 00:05:07,760 --> 00:05:10,560 Speaker 3: a lot of attempts to drive. 97 00:05:12,279 --> 00:05:15,200 Speaker 2: To drive people's buying with just. 98 00:05:15,160 --> 00:05:17,520 Speaker 3: A more curated experience, which now can be done using 99 00:05:17,600 --> 00:05:21,720 Speaker 3: JENIAI So I'm pretty excited about that. And then I 100 00:05:21,920 --> 00:05:26,039 Speaker 3: do see already early in the holiday shopping season retailers 101 00:05:26,040 --> 00:05:28,680 Speaker 3: coming to us and saying we would like to subsidize 102 00:05:28,760 --> 00:05:31,760 Speaker 3: the interest of consumers might pay in these loans, and 103 00:05:31,800 --> 00:05:35,760 Speaker 3: they choose to essentially offer zero interest loans, zero interest 104 00:05:35,839 --> 00:05:38,640 Speaker 3: financing plans that we power of course for everything from 105 00:05:38,920 --> 00:05:39,720 Speaker 3: four weeks. 106 00:05:39,480 --> 00:05:40,320 Speaker 2: To four years late. 107 00:05:40,360 --> 00:05:42,839 Speaker 3: And so I see a lot of that coming, which 108 00:05:42,839 --> 00:05:46,280 Speaker 3: will be amazing for consumers. Being able to take more 109 00:05:46,360 --> 00:05:48,520 Speaker 3: use of money over time without paying any interest is 110 00:05:48,560 --> 00:05:49,119 Speaker 3: pretty awesome. 111 00:05:49,240 --> 00:05:51,640 Speaker 1: Glad to hear you talk more about Jenai, because the 112 00:05:51,680 --> 00:05:53,240 Speaker 1: last time you and I have talked about it, we 113 00:05:53,279 --> 00:05:55,760 Speaker 1: were kind of talking about the limitations and you know, 114 00:05:56,000 --> 00:05:58,359 Speaker 1: kind of the more boring use cases, let's say it. 115 00:05:58,400 --> 00:06:00,920 Speaker 1: When it came to AI and jen AI and financial 116 00:06:00,960 --> 00:06:04,480 Speaker 1: technology in particular, what's changing, especially because you dovetail with 117 00:06:04,520 --> 00:06:07,880 Speaker 1: the world of e commerce so greatly, So I think. 118 00:06:07,720 --> 00:06:11,000 Speaker 3: It's becoming more and more user friendly on the consumer side, 119 00:06:11,240 --> 00:06:15,800 Speaker 3: and I think AI shopping assistance and all the various 120 00:06:15,800 --> 00:06:18,800 Speaker 3: things that retailers are pouring resources and you know, genuinely 121 00:06:18,839 --> 00:06:21,680 Speaker 3: excited about is pretty great. We don't talk a ton 122 00:06:21,720 --> 00:06:25,039 Speaker 3: about it because we want to be very careful to bifarcate. 123 00:06:25,279 --> 00:06:27,200 Speaker 2: We do not use GENEI for underwriting. 124 00:06:27,880 --> 00:06:29,800 Speaker 3: That is something that has to be very predictable and 125 00:06:29,839 --> 00:06:32,919 Speaker 3: cannot hallucinate, so we stay very far from that. We 126 00:06:33,000 --> 00:06:37,320 Speaker 3: do use it for productivity enhancements internally with really wonderful effects. 127 00:06:37,320 --> 00:06:40,080 Speaker 3: I keep unshipping these really cool new ways for our 128 00:06:40,120 --> 00:06:42,680 Speaker 3: consumers to quickly get to the right answer when they're 129 00:06:43,000 --> 00:06:46,560 Speaker 3: contacting us for customer service purposes. We're also looking at 130 00:06:46,640 --> 00:06:50,560 Speaker 3: all sorts of acceleration in our development schedules because we're 131 00:06:50,600 --> 00:06:53,680 Speaker 3: able to use these AI generali tools, and so there's a. 132 00:06:53,600 --> 00:06:54,599 Speaker 2: Lot to be excited about. 133 00:06:55,200 --> 00:06:57,120 Speaker 3: Just you know, like every new technology you have to 134 00:06:57,120 --> 00:06:59,880 Speaker 3: be appropriately careful in use cases that you don't fully 135 00:07:00,040 --> 00:07:00,800 Speaker 3: have control over. 136 00:07:00,960 --> 00:07:03,320 Speaker 1: Max Back to the consumer for a moment here, because 137 00:07:03,360 --> 00:07:05,200 Speaker 1: you and I talk about this a lot. The credit 138 00:07:05,800 --> 00:07:09,440 Speaker 1: card uptake in the country right now, people have been 139 00:07:09,440 --> 00:07:12,360 Speaker 1: maxing out. We are near record levels of credit card 140 00:07:12,440 --> 00:07:16,240 Speaker 1: balances across really the spectrum of America. And then you 141 00:07:16,320 --> 00:07:20,520 Speaker 1: also have rates above twenty often twenty five percent aprs. 142 00:07:20,840 --> 00:07:22,760 Speaker 1: How fast does that come down? And you know, even 143 00:07:22,800 --> 00:07:25,600 Speaker 1: if you can't tell me how fast, or if you can't, 144 00:07:25,720 --> 00:07:29,200 Speaker 1: then what is the relationship between how people use buy now, 145 00:07:29,280 --> 00:07:32,040 Speaker 1: pay later and a mass credit card debt? 146 00:07:34,000 --> 00:07:36,280 Speaker 3: So from my point of view, and you know, am bias. 147 00:07:36,360 --> 00:07:39,040 Speaker 3: So I'll talk about on book for a second. We 148 00:07:39,200 --> 00:07:42,800 Speaker 3: are the right alternative to credit card debt if you 149 00:07:42,880 --> 00:07:46,280 Speaker 3: are borrowing to pay for things over time, which all 150 00:07:46,320 --> 00:07:49,200 Speaker 3: of us do. You know, from education loans all the 151 00:07:49,240 --> 00:07:53,800 Speaker 3: way to holiday gifts, you are better off not revolving 152 00:07:54,120 --> 00:07:57,880 Speaker 3: full stoff when your interest compounds. Into principle, you are 153 00:07:57,920 --> 00:08:00,680 Speaker 3: paying on an exponential curve, and that what credit cards 154 00:08:00,720 --> 00:08:02,560 Speaker 3: do for you. And so I am genuinely conserved of 155 00:08:02,640 --> 00:08:07,480 Speaker 3: credit card balance is growing less because of the absolute 156 00:08:07,560 --> 00:08:10,200 Speaker 3: number of these balances more because of the type of 157 00:08:10,280 --> 00:08:12,680 Speaker 3: debt that they're generating. It's the debt that can't run 158 00:08:12,720 --> 00:08:15,480 Speaker 3: away and does run away from people. The reason by 159 00:08:15,480 --> 00:08:18,040 Speaker 3: now pay later, the reason Affirm in particular, is such 160 00:08:18,080 --> 00:08:21,120 Speaker 3: a good alternative is in our case not just that 161 00:08:21,160 --> 00:08:23,840 Speaker 3: there aren't any FeAs and there's no penalties. In there 162 00:08:23,720 --> 00:08:27,640 Speaker 3: are gonschias, the interest doesn't compound. Into principle, if there's 163 00:08:27,680 --> 00:08:30,240 Speaker 3: any interest to pay at all, it is very reasonable 164 00:08:30,280 --> 00:08:33,440 Speaker 3: to stretch your budget by paying over time. It can 165 00:08:33,559 --> 00:08:35,960 Speaker 3: be dangerous if you revolve on that debt and have 166 00:08:36,000 --> 00:08:37,120 Speaker 3: no idea how you're going to pay it off. And 167 00:08:37,160 --> 00:08:39,800 Speaker 3: I sometimes call credit cards by now pay forever for 168 00:08:39,920 --> 00:08:40,720 Speaker 3: exactly that reason. 169 00:08:40,760 --> 00:08:42,640 Speaker 2: By now pay later is a safer alternative. 170 00:08:43,400 --> 00:08:45,480 Speaker 1: Max, we have to leave it there. But of course 171 00:08:45,520 --> 00:08:47,679 Speaker 1: this is a much longer discussion. This is going to 172 00:08:47,800 --> 00:08:50,760 Speaker 1: change very quickly this world in the next year. So 173 00:08:51,000 --> 00:08:53,400 Speaker 1: that is a firm co founder and CEO Max Lenchen