1 00:00:00,120 --> 00:00:02,760 Speaker 1: It was an article I was reading where you were 2 00:00:02,800 --> 00:00:05,720 Speaker 1: interviewed and you had this quote that I thought was 3 00:00:05,760 --> 00:00:08,840 Speaker 1: really interesting. You said, there's not a pipeline issue or 4 00:00:09,000 --> 00:00:12,840 Speaker 1: knowledge gap is just about providing opportunities and looking for 5 00:00:12,880 --> 00:00:15,960 Speaker 1: the gems that are in the rough. And so often 6 00:00:16,000 --> 00:00:18,040 Speaker 1: when we think about when companies say, you know, there's 7 00:00:18,040 --> 00:00:21,680 Speaker 1: a pipeline issue here domestically, Um, that's an issue we 8 00:00:22,040 --> 00:00:25,639 Speaker 1: domestic black people you know, have have to overcome. And 9 00:00:25,680 --> 00:00:27,960 Speaker 1: so now you're trying to do this and get them 10 00:00:28,000 --> 00:00:32,080 Speaker 1: to hire you know, black people on the continent, Africans 11 00:00:32,120 --> 00:00:41,400 Speaker 1: on the continent. Does that mean it's doubly hard for you? Yeah, yes, right, 12 00:00:42,479 --> 00:00:45,960 Speaker 1: the simple ques The simple answer is yes, Um, the 13 00:00:46,040 --> 00:00:49,400 Speaker 1: difficult answer. As recruiters, as I mentioned, we do a 14 00:00:49,440 --> 00:00:51,760 Speaker 1: lot of recruiting, We do a lot of recruiting in 15 00:00:51,800 --> 00:00:55,960 Speaker 1: the US as well for like US ended it as well. Um, 16 00:00:56,240 --> 00:00:58,600 Speaker 1: it is exactly that. And sometimes I have to have 17 00:00:58,720 --> 00:01:02,320 Speaker 1: conversations with these you know CEOs of companies and startups 18 00:01:02,320 --> 00:01:06,760 Speaker 1: that if you actually care about diversity and inclusion, sometimes 19 00:01:07,080 --> 00:01:09,440 Speaker 1: you don't have to lower your requirements, you have to 20 00:01:09,520 --> 00:01:12,520 Speaker 1: change them. Right, if you're looking for the person from 21 00:01:12,520 --> 00:01:15,120 Speaker 1: an ivy League and they have to have this year's 22 00:01:15,160 --> 00:01:18,640 Speaker 1: experience as you know at Google or etcetera. Well just 23 00:01:18,680 --> 00:01:21,480 Speaker 1: look at the mathematics, right, I think one percent of 24 00:01:21,520 --> 00:01:24,679 Speaker 1: all technologists and like the Silicon Valley is like are 25 00:01:24,720 --> 00:01:27,600 Speaker 1: black like one percent? Okay? Will you take that one 26 00:01:27,640 --> 00:01:29,800 Speaker 1: percent and you say how many of them graduated from 27 00:01:29,800 --> 00:01:33,039 Speaker 1: an IVY League school. Well, let's say it's of that 28 00:01:33,160 --> 00:01:35,479 Speaker 1: one percent. And then you say how many have been 29 00:01:35,480 --> 00:01:38,760 Speaker 1: working for five, six or ten years of experience and 30 00:01:38,840 --> 00:01:41,760 Speaker 1: you get an even a smaller number. And so this 31 00:01:41,760 --> 00:01:45,040 Speaker 1: this pipeline issue, it has to deal more with where 32 00:01:45,040 --> 00:01:47,760 Speaker 1: are you looking and what are your requirements? So I 33 00:01:47,800 --> 00:01:52,600 Speaker 1: also have often have the conversation is sometimes you're looking 34 00:01:52,640 --> 00:01:56,200 Speaker 1: for quality of a candidate. Sometimes you just need to 35 00:01:56,280 --> 00:02:00,640 Speaker 1: groom an individual who has the capacity. Maybe they've at 36 00:02:00,640 --> 00:02:03,960 Speaker 1: an essential, there's not an ad for them at an essential, 37 00:02:04,560 --> 00:02:08,280 Speaker 1: or you know a small a big firm, but they 38 00:02:08,320 --> 00:02:11,480 Speaker 1: have this hunger and desire that when you bring them 39 00:02:11,480 --> 00:02:14,040 Speaker 1: into this startup, they will excel and in a year 40 00:02:14,120 --> 00:02:16,280 Speaker 1: or two you'll find them as a leader in your company. 41 00:02:16,560 --> 00:02:19,560 Speaker 1: You just have to change what you're looking for and 42 00:02:19,600 --> 00:02:22,080 Speaker 1: you'll still get the quality outcome that you look that 43 00:02:22,160 --> 00:02:22,840 Speaker 1: you expect