WEBVTT 1 00:00:00.208 --> 00:00:01.209 - Sheila, welcome. 2 00:00:01.209 --> 00:00:04.462 How is the current market environment impacting 3 00:00:04.462 --> 00:00:06.881 the ability to raise new funds? 4 00:00:06.881 --> 00:00:09.175 - Well, thank you for talking with me today. 5 00:00:09.175 --> 00:00:11.011 I think the current market environment 6 00:00:11.011 --> 00:00:13.179 is a fascinating one to behold. 7 00:00:13.179 --> 00:00:16.516 We have seen funding rates drop off pretty dramatically 8 00:00:16.516 --> 00:00:18.309 over the last several quarters, 9 00:00:18.309 --> 00:00:19.853 but in particular, 10 00:00:19.853 --> 00:00:21.479 growth is suffering the most, 11 00:00:21.479 --> 00:00:23.857 with only about 8% of funding in the first quarter 12 00:00:23.857 --> 00:00:24.816 going to growth, 13 00:00:24.816 --> 00:00:27.902 and about 67% going to early stage. 14 00:00:27.902 --> 00:00:29.571 So it's a bit of a bifurcated market 15 00:00:29.571 --> 00:00:31.573 when it comes to where funds are going 16 00:00:31.573 --> 00:00:35.326 and how we can all raise funds to keep funding innovation. 17 00:00:35.326 --> 00:00:37.454 - What is the outlook on venture capital 18 00:00:37.454 --> 00:00:39.789 in the short and medium term? 19 00:00:39.789 --> 00:00:44.044 - Well, I think as you look at crises in the past 20 00:00:44.044 --> 00:00:47.130 and you look at the vintages that came out of those years, 21 00:00:47.130 --> 00:00:49.716 those were some of the best years for venture capital. 22 00:00:49.716 --> 00:00:52.802 And I think many of the investors, large institutions, 23 00:00:52.802 --> 00:00:54.971 pension funds, sovereign wealth funds, 24 00:00:54.971 --> 00:00:56.681 that have a long history 25 00:00:56.681 --> 00:01:00.393 and have invested over many, many years in the space, 26 00:01:00.393 --> 00:01:02.228 are looking at the next four to five years 27 00:01:02.228 --> 00:01:04.147 as potentially some of the best vintages 28 00:01:04.147 --> 00:01:06.816 for venture and growth investing, 29 00:01:06.816 --> 00:01:08.568 where great companies will be founded 30 00:01:08.568 --> 00:01:11.821 in areas like generative AI, the Metaverse, 31 00:01:11.821 --> 00:01:15.700 Web 3.0, and they want to be part of that. 32 00:01:15.700 --> 00:01:16.534 - So that's AI. 33 00:01:16.534 --> 00:01:20.538 But I know climate tech is something that is an area 34 00:01:20.538 --> 00:01:22.123 of expertise for you. 35 00:01:22.123 --> 00:01:23.083 Could you just tell me a little bit more 36 00:01:23.083 --> 00:01:24.793 about the opportunities there? 37 00:01:24.793 --> 00:01:25.627 - Sure. 38 00:01:25.627 --> 00:01:26.461 Well, I think climate tech 39 00:01:26.461 --> 00:01:28.004 is such a fascinating space. 40 00:01:28.004 --> 00:01:30.632 It clearly is one that has countered the trend 41 00:01:30.632 --> 00:01:31.758 on fundraising. 42 00:01:31.758 --> 00:01:33.510 Over the past several quarters, as venture suffered, 43 00:01:33.510 --> 00:01:37.514 climate tech has been accelerating in terms of investors, 44 00:01:37.514 --> 00:01:39.808 and I think it's because of so many forces 45 00:01:39.808 --> 00:01:44.145 that are encouraging investment in maybe the 2.0 of 3.0 46 00:01:44.145 --> 00:01:46.731 of how we address the challenges around climate. 47 00:01:46.731 --> 00:01:49.234 The technology that can help companies 48 00:01:49.234 --> 00:01:51.236 answer the regulatory challenges 49 00:01:51.236 --> 00:01:53.655 of showing that they're addressing the situation. 50 00:01:53.655 --> 00:01:55.448 The risk analytics, 51 00:01:55.448 --> 00:01:56.991 and the technology again, 52 00:01:56.991 --> 00:02:00.245 and the AI that can help us look at challenges 53 00:02:00.245 --> 00:02:01.121 within climate, 54 00:02:01.121 --> 00:02:04.999 carbon sequestration, and agricultural technology. 55 00:02:04.999 --> 00:02:06.876 There is so much to be unraveled 56 00:02:06.876 --> 00:02:09.920 and so it's a really exciting time to invest in climate, 57 00:02:09.920 --> 00:02:12.757 alongside innovation and technology. 58 00:02:12.757 --> 00:02:14.384 - Sheila, thank you so much. 59 00:02:14.384 --> 00:02:15.510 - Thanks for having me.