1 00:00:00,280 --> 00:00:03,080 Speaker 1: Check me out at the annual Black Effect Podcast Festival, 2 00:00:03,160 --> 00:00:06,800 Speaker 1: happening Saturday, April twenty seven in Atlanta. Live podcasts are 3 00:00:06,800 --> 00:00:09,400 Speaker 1: on deck from some of your favorite shows, including this one, 4 00:00:09,520 --> 00:00:11,760 Speaker 1: Black Tech, Green Money, and also some of the best 5 00:00:11,800 --> 00:00:14,440 Speaker 1: podcasts in the game, like Deeply Well with Debbie Brown 6 00:00:14,560 --> 00:00:17,480 Speaker 1: and Carefully Reckless. Atlanta is one of my favorite cities 7 00:00:17,480 --> 00:00:19,479 Speaker 1: in the world. I've lived there for two years actually, 8 00:00:19,680 --> 00:00:23,000 Speaker 1: and my worldview seeing a successful in every industry and 9 00:00:23,040 --> 00:00:25,840 Speaker 1: not having any limits on our potential largely was shaved 10 00:00:25,840 --> 00:00:28,080 Speaker 1: by Atlanta. So to be there with you doing this 11 00:00:28,160 --> 00:00:31,360 Speaker 1: podcast talking about how we build or leverage technology to 12 00:00:31,360 --> 00:00:34,120 Speaker 1: bill wealth. Come on, man, doesn't get better. I want 13 00:00:34,120 --> 00:00:36,240 Speaker 1: to see you there. Get your tickets today at Black 14 00:00:36,240 --> 00:00:38,800 Speaker 1: Effect dot comback Slash Podcast Festival. 15 00:00:38,920 --> 00:00:42,040 Speaker 2: And when I have these conversations with my with my 16 00:00:42,120 --> 00:00:45,240 Speaker 2: white counterparts about AI, they're like, oh, man, it's gonna 17 00:00:45,280 --> 00:00:47,120 Speaker 2: change the world. We're gonna be doing all these crazy 18 00:00:47,400 --> 00:00:48,080 Speaker 2: cool things. 19 00:00:48,280 --> 00:00:48,440 Speaker 3: Hey. 20 00:00:48,479 --> 00:00:50,519 Speaker 2: You know, sometimes I talk to my friends in the 21 00:00:50,560 --> 00:00:53,760 Speaker 2: group chat, They're like, man, the devil is busy with 22 00:00:53,800 --> 00:01:00,320 Speaker 2: that AI, right, Like, you know, you get different impressions about. 23 00:01:02,600 --> 00:01:04,760 Speaker 1: I'm Will Lucas and this is black Tech Green Money. 24 00:01:06,200 --> 00:01:09,760 Speaker 1: Andrew McCaskill is a communications executive with twenty years of 25 00:01:09,800 --> 00:01:13,960 Speaker 1: experience delivering award winning communications and be our campaigns at 26 00:01:14,000 --> 00:01:18,200 Speaker 1: Fortune five hundred companies and highly successful technology startups. 27 00:01:19,040 --> 00:01:20,800 Speaker 2: He was SVP of Global. 28 00:01:20,440 --> 00:01:24,440 Speaker 1: Communications and Multicultural Marketing at Nielsen, head of D and 29 00:01:24,480 --> 00:01:27,120 Speaker 1: I Global Sales and Marketing at Facebook. 30 00:01:27,319 --> 00:01:29,000 Speaker 3: Is an investor and advisor at. 31 00:01:28,840 --> 00:01:32,840 Speaker 1: Culture Genesis and its career expert in Global communications at LinkedIn. 32 00:01:33,560 --> 00:01:35,880 Speaker 2: He's also pr Week's Top forty under forty. 33 00:01:37,319 --> 00:01:39,440 Speaker 1: Not everyone who listens to this podcast is going to 34 00:01:39,480 --> 00:01:42,440 Speaker 1: start a company, many, if not most, will be career 35 00:01:42,520 --> 00:01:46,160 Speaker 1: professionals in climb the ladder regardless. You want to make 36 00:01:46,160 --> 00:01:49,040 Speaker 1: sure you build wealth. And it's often said, however, that 37 00:01:49,160 --> 00:01:52,280 Speaker 1: you can't build wealth by selling your time. I asked 38 00:01:52,280 --> 00:01:53,360 Speaker 1: Andrew to speak on that. 39 00:01:53,840 --> 00:01:56,160 Speaker 2: Yeah, man, I think it's so important because you're right, 40 00:01:56,200 --> 00:01:58,880 Speaker 2: everybody's not going to be an entrepreneur. Many of us 41 00:01:58,920 --> 00:02:04,360 Speaker 2: are points, have most of our working lives and some 42 00:02:04,600 --> 00:02:07,000 Speaker 2: version of a nine to five. And I think that 43 00:02:07,320 --> 00:02:09,360 Speaker 2: the biggest thing that I feel like that people can 44 00:02:09,400 --> 00:02:13,040 Speaker 2: do to build wealth is to start having wealth conversations, right, 45 00:02:13,400 --> 00:02:17,120 Speaker 2: And what I mean by that is, you know, I 46 00:02:17,160 --> 00:02:21,840 Speaker 2: grew up middle upper middle class, right, and my parents 47 00:02:22,160 --> 00:02:24,640 Speaker 2: did not talk to me a lot about money. Money 48 00:02:24,639 --> 00:02:28,160 Speaker 2: in my household was grown folks business, and you know, 49 00:02:28,480 --> 00:02:31,639 Speaker 2: they basically gave me a couple of things is save 50 00:02:31,760 --> 00:02:33,960 Speaker 2: some money and don't spend more than you make, right, 51 00:02:34,320 --> 00:02:37,400 Speaker 2: good luck, and you know, call us if you need us. 52 00:02:37,880 --> 00:02:40,920 Speaker 2: And what I think that that sometimes we do with 53 00:02:41,080 --> 00:02:44,640 Speaker 2: that is that we don't information share enough. And so 54 00:02:44,760 --> 00:02:47,400 Speaker 2: I feel like that one of the things that is 55 00:02:47,440 --> 00:02:53,040 Speaker 2: the beginning of financial mobility, financial mobility starts with financial stability. 56 00:02:53,240 --> 00:02:58,079 Speaker 2: And I think that amongst amongst particularly younger black folks, 57 00:02:58,120 --> 00:03:01,480 Speaker 2: younger black professionals, we have to collaborate and not compete. 58 00:03:01,880 --> 00:03:04,560 Speaker 2: And that means that many of us are not gonna 59 00:03:04,600 --> 00:03:07,520 Speaker 2: get somebody from some ivory tower to come down and 60 00:03:07,560 --> 00:03:10,720 Speaker 2: tell us all these things about money. So we have 61 00:03:10,800 --> 00:03:13,160 Speaker 2: to peer to peer mentor each other in a lot 62 00:03:13,160 --> 00:03:16,240 Speaker 2: of ways. Right, My group chat has saved me so 63 00:03:16,360 --> 00:03:21,160 Speaker 2: many times from making mistakes about money at work. And 64 00:03:21,200 --> 00:03:25,120 Speaker 2: so the first time I had a job in tech 65 00:03:25,600 --> 00:03:29,919 Speaker 2: where I had to actually negotiate for equity, I had 66 00:03:29,960 --> 00:03:32,880 Speaker 2: to go and look up on the internet what restricted 67 00:03:32,919 --> 00:03:36,080 Speaker 2: stock units were. I had no idea what I was 68 00:03:36,120 --> 00:03:38,960 Speaker 2: potentially leaving on the table because I didn't have that information. 69 00:03:39,480 --> 00:03:44,760 Speaker 2: Luckily for me, I had not even necessarily a mentor, 70 00:03:44,840 --> 00:03:46,840 Speaker 2: but a dude that I knew in tech that I 71 00:03:46,880 --> 00:03:50,320 Speaker 2: had met at a conference, and I was like, yo, 72 00:03:50,480 --> 00:03:54,360 Speaker 2: I noticed, dude is senior. I still have this number. 73 00:03:54,720 --> 00:03:57,760 Speaker 2: I'm just gonna roll the dice and call him, and 74 00:03:57,800 --> 00:04:00,680 Speaker 2: he broke it down for me in a way that man, 75 00:04:01,120 --> 00:04:03,000 Speaker 2: I could have left so much money on the table 76 00:04:03,040 --> 00:04:04,720 Speaker 2: as a nine to five or if I hadn't really 77 00:04:04,760 --> 00:04:07,360 Speaker 2: thought about it in the right way. So the number 78 00:04:07,440 --> 00:04:10,320 Speaker 2: one to get from that mobility stability is having the 79 00:04:10,360 --> 00:04:12,920 Speaker 2: most information, and sometimes that information is gonna come from 80 00:04:12,920 --> 00:04:16,640 Speaker 2: people who look like us. Right. The other thing I 81 00:04:16,680 --> 00:04:20,120 Speaker 2: think is is really just the behavioral shift and a 82 00:04:20,240 --> 00:04:22,640 Speaker 2: mindset shift that you know, I think that we all 83 00:04:22,680 --> 00:04:27,039 Speaker 2: have to have around that is that many of us 84 00:04:27,080 --> 00:04:28,960 Speaker 2: who are in that nine to five world, a lot 85 00:04:29,000 --> 00:04:33,160 Speaker 2: of us are grappling with something that our non Hispanic 86 00:04:33,160 --> 00:04:35,800 Speaker 2: white counterparts don't have to grapple with. And that's the 87 00:04:35,960 --> 00:04:38,640 Speaker 2: untold story is the fragility of the black middle class. 88 00:04:39,040 --> 00:04:41,960 Speaker 2: Middle class status is very fragile for us in our 89 00:04:41,960 --> 00:04:47,280 Speaker 2: communities because oftentimes, Man, you know, you might be the 90 00:04:47,720 --> 00:04:50,479 Speaker 2: one in the family that's got that good job, but 91 00:04:50,920 --> 00:04:54,720 Speaker 2: when big Mama's water heater breaks down, you getting that call, right. 92 00:04:55,839 --> 00:04:57,840 Speaker 2: And so I feel like that one of those things 93 00:04:58,080 --> 00:05:00,719 Speaker 2: that we have to do is that we're constantly sort 94 00:05:00,720 --> 00:05:03,200 Speaker 2: of accounting for that. So if it comes down to 95 00:05:03,240 --> 00:05:05,840 Speaker 2: Gucci versus Grandma, I'm gonna save that money for Grandma 96 00:05:05,960 --> 00:05:08,680 Speaker 2: every time, right because I want to, Because I think 97 00:05:08,680 --> 00:05:10,880 Speaker 2: that that's the call that many of us are gonna get. 98 00:05:11,040 --> 00:05:14,159 Speaker 2: So I think that that mobility of getting to wealth 99 00:05:14,279 --> 00:05:18,000 Speaker 2: starts with like reimagining how we think about that money 100 00:05:18,040 --> 00:05:20,720 Speaker 2: in the beginning. That one we get more money when 101 00:05:20,720 --> 00:05:23,159 Speaker 2: we talk about money and have money conversations with people 102 00:05:23,160 --> 00:05:26,240 Speaker 2: that we trust that we can you know, we sort 103 00:05:26,240 --> 00:05:29,000 Speaker 2: of grow together. You need to grow with your peer group. 104 00:05:29,000 --> 00:05:31,480 Speaker 2: And so when you're sharing that information, like one thing 105 00:05:31,480 --> 00:05:33,560 Speaker 2: about me, I'll send you my old offer letter from 106 00:05:33,720 --> 00:05:36,600 Speaker 2: from Facebook, I'll send you my old offer letter from 107 00:05:36,720 --> 00:05:39,200 Speaker 2: you know, previous companies that I had. So at least 108 00:05:39,200 --> 00:05:41,440 Speaker 2: you should know that this is where you should level set. Right. 109 00:05:42,360 --> 00:05:44,240 Speaker 2: The other thing is like, we know that we're gonna 110 00:05:44,279 --> 00:05:46,120 Speaker 2: get hit in different ways, so we have to think 111 00:05:46,160 --> 00:05:49,640 Speaker 2: about money and stability just totally different. And here's the 112 00:05:49,680 --> 00:05:51,440 Speaker 2: thing that I think is more in line with what 113 00:05:52,200 --> 00:05:55,600 Speaker 2: I think everybody really wants the answer to be from 114 00:05:55,680 --> 00:05:59,159 Speaker 2: this question is like, can you build wealth while working 115 00:05:59,200 --> 00:06:02,920 Speaker 2: for other people? Absolutely? You can. It happens every single dissa, Right. 116 00:06:03,160 --> 00:06:05,760 Speaker 2: You have to just really plan for and account for 117 00:06:05,800 --> 00:06:08,240 Speaker 2: your career in certain ways. Yeah. 118 00:06:08,320 --> 00:06:11,400 Speaker 1: Yeah, So you got a couple of questions there that 119 00:06:11,640 --> 00:06:14,520 Speaker 1: you speak my interest on. And so I've read some 120 00:06:14,560 --> 00:06:16,520 Speaker 1: of your posts and you had talked about how the 121 00:06:16,640 --> 00:06:19,559 Speaker 1: job market has tightened and there's one job for every 122 00:06:19,560 --> 00:06:25,279 Speaker 1: two applicants, right, and how can black people, black professionals 123 00:06:25,600 --> 00:06:31,080 Speaker 1: negotiate effectively to secure competitive conversation, not just accept what 124 00:06:31,120 --> 00:06:34,800 Speaker 1: they give you, but to negotiate that compensation and ensure 125 00:06:34,839 --> 00:06:37,680 Speaker 1: that you know financial reward is there in the market 126 00:06:37,720 --> 00:06:40,680 Speaker 1: where employers have a whole bunch of options for who 127 00:06:40,760 --> 00:06:41,520 Speaker 1: wants this job. 128 00:06:42,880 --> 00:06:45,200 Speaker 2: Here's the things I think that you can't is that 129 00:06:45,320 --> 00:06:48,720 Speaker 2: you can't go into it without the confidence that, hey, 130 00:06:49,120 --> 00:06:51,320 Speaker 2: I know, I know what my skills are and I 131 00:06:51,360 --> 00:06:53,240 Speaker 2: know that I can do in this role. And so 132 00:06:53,279 --> 00:06:55,640 Speaker 2: I do think that part of it is being really 133 00:06:55,680 --> 00:06:58,279 Speaker 2: confident about what you bring to the table and being 134 00:06:58,320 --> 00:07:01,440 Speaker 2: able to articulate that really well. And that's not just 135 00:07:01,520 --> 00:07:06,600 Speaker 2: about spitting workplace game, right. I think that that confidence 136 00:07:06,640 --> 00:07:10,680 Speaker 2: really comes from, you know, being really secure about how 137 00:07:10,720 --> 00:07:14,280 Speaker 2: you tell your story. And that is how you tell 138 00:07:14,320 --> 00:07:17,400 Speaker 2: your professional story, how you talk about your superpowers, what 139 00:07:17,520 --> 00:07:20,320 Speaker 2: you bring to the table, how you talk about your skills, 140 00:07:20,600 --> 00:07:22,840 Speaker 2: how you match up the skills that you that you 141 00:07:23,080 --> 00:07:26,920 Speaker 2: have with what the company is actually asking for and desiring. 142 00:07:27,200 --> 00:07:30,000 Speaker 2: And a lot of that comes from really being able 143 00:07:30,080 --> 00:07:33,760 Speaker 2: to practice and rehearse that. That's just table stakes practicing 144 00:07:33,760 --> 00:07:35,720 Speaker 2: and rehearsing how you tell your story and how you 145 00:07:36,440 --> 00:07:40,200 Speaker 2: talk about it. But the information piece of it. If 146 00:07:40,200 --> 00:07:44,400 Speaker 2: you're really trying to negotiate for a great for better 147 00:07:44,440 --> 00:07:47,760 Speaker 2: compensation at a job that you already really want, I 148 00:07:47,800 --> 00:07:49,080 Speaker 2: think there are a couple of things that you have 149 00:07:49,120 --> 00:07:52,200 Speaker 2: to do. One is make sure that you understand sort 150 00:07:52,200 --> 00:07:55,800 Speaker 2: of the value in the marketplace in terms of most 151 00:07:55,800 --> 00:07:57,880 Speaker 2: of the companies now will give you a somewhat of 152 00:07:57,920 --> 00:07:59,960 Speaker 2: a range. We all want the top of that brain 153 00:08:00,360 --> 00:08:03,240 Speaker 2: right when we see it. I think that what you 154 00:08:03,360 --> 00:08:07,360 Speaker 2: have to then do is negotiate for why you want 155 00:08:07,400 --> 00:08:10,520 Speaker 2: that at the at the top of the range. Also, 156 00:08:10,960 --> 00:08:13,720 Speaker 2: there's gonna be it's really competitive, and I think that 157 00:08:14,280 --> 00:08:17,520 Speaker 2: you know, yeah, we all want to get that next job. 158 00:08:18,040 --> 00:08:20,080 Speaker 2: But the worst thing that you can one of the 159 00:08:20,080 --> 00:08:22,040 Speaker 2: worst things that you can do, unless you just desperately 160 00:08:22,040 --> 00:08:23,920 Speaker 2: need a job. If you desperately need a job, do 161 00:08:24,000 --> 00:08:26,320 Speaker 2: what you got to do in I respect, right, But 162 00:08:26,440 --> 00:08:29,680 Speaker 2: if you're in a position where you actually have some choice, 163 00:08:29,920 --> 00:08:32,480 Speaker 2: and we have a lot more choice than we truly 164 00:08:32,559 --> 00:08:37,160 Speaker 2: have been, you know, sort of conditioned to believe. If 165 00:08:37,160 --> 00:08:39,120 Speaker 2: you've got the choice, I think you do have to 166 00:08:39,160 --> 00:08:42,600 Speaker 2: go in and sort of negotiate for what you want. 167 00:08:43,160 --> 00:08:45,960 Speaker 2: That negotiation begins with how much information do you have 168 00:08:46,080 --> 00:08:48,200 Speaker 2: about the role? How much information do you have about 169 00:08:48,200 --> 00:08:50,760 Speaker 2: the company. You're eight times more likely to get a 170 00:08:50,840 --> 00:08:53,480 Speaker 2: job at a company if you know somebody who's at 171 00:08:53,480 --> 00:08:55,920 Speaker 2: that company, and that doesn't have to be your work 172 00:08:56,000 --> 00:08:58,480 Speaker 2: best friend. That could be somebody that you worked with 173 00:08:58,520 --> 00:09:00,840 Speaker 2: ten years ago. That could be so that goes to 174 00:09:00,880 --> 00:09:02,839 Speaker 2: your church, but you you don't really know them, but 175 00:09:02,920 --> 00:09:06,400 Speaker 2: you know of them, right, because that just even that 176 00:09:06,480 --> 00:09:10,040 Speaker 2: conversation gives you a better idea of what the culture 177 00:09:10,160 --> 00:09:12,319 Speaker 2: is and how much and how much you can think 178 00:09:12,320 --> 00:09:13,959 Speaker 2: about it. They don't have to tell you how much 179 00:09:13,960 --> 00:09:15,520 Speaker 2: money they make or any of that kind of stuff. 180 00:09:15,520 --> 00:09:18,040 Speaker 2: But the little clues that they can give you, or 181 00:09:18,080 --> 00:09:19,920 Speaker 2: even just then mentioning your name, puts you in a 182 00:09:19,920 --> 00:09:23,360 Speaker 2: better position. Your network really really matters. And I think 183 00:09:23,400 --> 00:09:26,280 Speaker 2: that we have been sort of conditioned not to think 184 00:09:26,320 --> 00:09:29,720 Speaker 2: of our network as the way I feel like our 185 00:09:30,080 --> 00:09:33,280 Speaker 2: non Hispanic white counterparts think about it, right, is that 186 00:09:33,559 --> 00:09:36,080 Speaker 2: we oftentimes get caught up in thinking that if I'm 187 00:09:36,120 --> 00:09:39,040 Speaker 2: networking with you, it's got to be like a business 188 00:09:39,080 --> 00:09:41,680 Speaker 2: cards exchange or at a party or something like that, 189 00:09:41,840 --> 00:09:44,760 Speaker 2: or a cocktail hour or that, like it's got to 190 00:09:44,800 --> 00:09:47,200 Speaker 2: be some kind of quid pro quo or I'm asking 191 00:09:47,240 --> 00:09:50,000 Speaker 2: you for a favor or something like that. Our white 192 00:09:50,040 --> 00:09:52,880 Speaker 2: counterparts don't even think about networking in that way. They 193 00:09:52,880 --> 00:09:57,560 Speaker 2: don't think about, Okay, well, look, will gave me your number. 194 00:09:58,559 --> 00:10:01,200 Speaker 2: So anything you anything you say to me is a 195 00:10:01,200 --> 00:10:04,040 Speaker 2: reflection on will. That's just not how That's not how 196 00:10:04,120 --> 00:10:07,240 Speaker 2: anybody else thinks about it, right, It really is will 197 00:10:07,280 --> 00:10:10,160 Speaker 2: gave me this person's number. Maybe something comes from it, 198 00:10:10,240 --> 00:10:15,360 Speaker 2: maybe something doesn't. My connection, my connections that I sort 199 00:10:15,360 --> 00:10:20,600 Speaker 2: of share that network sharing man, your network is so powerful. 200 00:10:20,800 --> 00:10:22,560 Speaker 2: So I think using your network to get a better 201 00:10:22,600 --> 00:10:26,640 Speaker 2: idea of like what your opportunity is. But don't just 202 00:10:26,679 --> 00:10:29,040 Speaker 2: take the first offer. I always say that you have 203 00:10:29,120 --> 00:10:32,720 Speaker 2: to negotiate. Even for that recruiter to really or that 204 00:10:32,800 --> 00:10:35,360 Speaker 2: hiring manager to truly respect you, you need to and 205 00:10:35,400 --> 00:10:39,000 Speaker 2: at least negotiate something. And you negotiate like that. 206 00:10:39,080 --> 00:10:39,600 Speaker 3: I like that. 207 00:10:40,920 --> 00:10:44,160 Speaker 1: There are a lot of people with jobs, careers, I 208 00:10:44,160 --> 00:10:47,360 Speaker 1: should say, who are concerned about how AI is about 209 00:10:47,400 --> 00:10:51,480 Speaker 1: to impact their roles. Like, you know, I think about 210 00:10:51,520 --> 00:10:55,240 Speaker 1: like if if I can marry grammarly and chat GPT, 211 00:10:55,440 --> 00:10:58,120 Speaker 1: I never have to hire a copywriter again. Like, so 212 00:10:58,160 --> 00:11:01,640 Speaker 1: there's there are certain roles that are definitely under the gun, 213 00:11:01,760 --> 00:11:04,800 Speaker 1: you know, to use that phrase. So how are you 214 00:11:04,880 --> 00:11:09,000 Speaker 1: advising professionals to acquire in demand skills so that they 215 00:11:09,040 --> 00:11:12,880 Speaker 1: can be you know, still marketable in the years to 216 00:11:12,920 --> 00:11:14,679 Speaker 1: come in the professional workplace? 217 00:11:15,400 --> 00:11:18,679 Speaker 2: Oh man, I love this question because let's even even 218 00:11:18,720 --> 00:11:21,000 Speaker 2: if you take AI out of the game, that our 219 00:11:21,040 --> 00:11:24,480 Speaker 2: research shows that even if you're not changing jobs, your 220 00:11:24,559 --> 00:11:27,320 Speaker 2: job is changing on you. Most people's jobs change about 221 00:11:27,559 --> 00:11:30,200 Speaker 2: fifteen to twenty percent every two years. Right, so you 222 00:11:30,200 --> 00:11:31,360 Speaker 2: could be in the job that you've been in that 223 00:11:31,440 --> 00:11:33,680 Speaker 2: job five years. Your job is so different from the 224 00:11:33,720 --> 00:11:38,080 Speaker 2: day you started to today. And you know, when I 225 00:11:38,120 --> 00:11:41,880 Speaker 2: have these conversations with my uh with my white counterparts 226 00:11:42,040 --> 00:11:44,440 Speaker 2: about AI, they're like, oh, man, it's gonna change the world. 227 00:11:44,440 --> 00:11:47,040 Speaker 2: We're gonna be doing all these crazy cool things. And 228 00:11:47,080 --> 00:11:49,160 Speaker 2: you know, sometimes I talk to my friends in the 229 00:11:49,200 --> 00:11:52,319 Speaker 2: group chat and they're like, man, the devil is busy 230 00:11:52,360 --> 00:11:57,360 Speaker 2: with that AI, right, Like, you know, you're getting different 231 00:11:57,720 --> 00:12:02,319 Speaker 2: impressions about it, right. But we actually, we actually talked 232 00:12:02,360 --> 00:12:07,640 Speaker 2: to a large number of black professionals about how they 233 00:12:07,640 --> 00:12:10,760 Speaker 2: were feeling about AI and sort of what's happening. And 234 00:12:10,800 --> 00:12:15,360 Speaker 2: what we found, man, was that actually most black professionals 235 00:12:15,679 --> 00:12:19,559 Speaker 2: were actually were actually really intrigued and excited about AI. 236 00:12:20,040 --> 00:12:23,800 Speaker 2: But what they also said was that about forty seven 237 00:12:23,840 --> 00:12:26,320 Speaker 2: percent said that they didn't know where to start getting 238 00:12:26,360 --> 00:12:29,240 Speaker 2: AI skills and getting up to speed. And so's the 239 00:12:29,520 --> 00:12:32,520 Speaker 2: that's the hook right there. What we did at LinkedIn 240 00:12:32,600 --> 00:12:35,520 Speaker 2: when we saw that was we said, okay, well we're 241 00:12:35,520 --> 00:12:39,600 Speaker 2: gonna make our top ten AI courses free for everybody. 242 00:12:39,640 --> 00:12:42,160 Speaker 2: You don't have to have LinkedIn premium or anything like that. 243 00:12:42,440 --> 00:12:45,160 Speaker 2: So we've made our top ten AI courses for free, 244 00:12:45,440 --> 00:12:51,280 Speaker 2: and that's everything from understanding you know prompt engineering to 245 00:12:51,480 --> 00:12:54,360 Speaker 2: understanding you know AI one on one. We've even got 246 00:12:54,400 --> 00:12:57,679 Speaker 2: some more advanced courses. And if you if you follow 247 00:12:57,720 --> 00:13:00,040 Speaker 2: my newsletter The Black Guy in Marketing on linked and 248 00:13:00,080 --> 00:13:03,280 Speaker 2: then I've got all of the courses listed there, you 249 00:13:03,320 --> 00:13:06,199 Speaker 2: can literally click on the courses and take the courses. Right. 250 00:13:06,200 --> 00:13:08,640 Speaker 2: It's like tons of free courses. But I think that 251 00:13:08,640 --> 00:13:11,640 Speaker 2: that's the key to it is that for black professionals 252 00:13:11,679 --> 00:13:13,960 Speaker 2: in particular, I think that if you don't know what 253 00:13:14,000 --> 00:13:15,960 Speaker 2: a large language model is, and you're listening to this 254 00:13:16,000 --> 00:13:17,640 Speaker 2: conversation right now, I know there are a lot of 255 00:13:17,679 --> 00:13:20,240 Speaker 2: tech people who probably do know exactly what that is. 256 00:13:20,400 --> 00:13:22,880 Speaker 2: But if you don't, now is the time for you 257 00:13:22,920 --> 00:13:25,600 Speaker 2: to start at least get the language and the lexicon 258 00:13:25,679 --> 00:13:30,800 Speaker 2: of AI down because we need more black people using 259 00:13:30,920 --> 00:13:34,200 Speaker 2: the tool. We need more black people getting the skills 260 00:13:34,200 --> 00:13:39,440 Speaker 2: and getting the certifications because major revolutions in work have 261 00:13:39,600 --> 00:13:42,760 Speaker 2: not always been kind to us. But now we're in 262 00:13:42,800 --> 00:13:48,160 Speaker 2: a space where the information is literally at our fingertips. 263 00:13:48,200 --> 00:13:51,040 Speaker 2: If you've got a computer, you've got a smartphone, you 264 00:13:51,040 --> 00:13:54,040 Speaker 2: can get access to starting to learn how to use 265 00:13:54,040 --> 00:13:56,319 Speaker 2: these tools and play with these tools. And I think 266 00:13:56,320 --> 00:13:57,800 Speaker 2: that that's the key to it is to get in 267 00:13:57,840 --> 00:14:00,480 Speaker 2: there and start playing with it now because AI is 268 00:14:00,520 --> 00:14:03,800 Speaker 2: coming to work. It's at work already, and I don't 269 00:14:03,800 --> 00:14:06,480 Speaker 2: want us to feel like that it's this scary thing 270 00:14:06,600 --> 00:14:09,200 Speaker 2: because we've been I mean it, all it really is, 271 00:14:09,720 --> 00:14:14,040 Speaker 2: as you know, is like really well educated guesses to 272 00:14:14,160 --> 00:14:17,320 Speaker 2: what you to answering questions for what we all need. 273 00:14:17,640 --> 00:14:21,000 Speaker 2: And if you've used you know, almost any technology tool 274 00:14:21,280 --> 00:14:23,880 Speaker 2: that in the last you know, five or six years, 275 00:14:23,920 --> 00:14:26,600 Speaker 2: there's been some bit of it that is making some 276 00:14:26,720 --> 00:14:31,360 Speaker 2: educated guesses for you. Right then, completely on the Google 277 00:14:31,400 --> 00:14:34,880 Speaker 2: search bar. Absolutely, I use that example all the time 278 00:14:34,920 --> 00:14:37,360 Speaker 2: auto completely on Google. Right. But here's the other thing 279 00:14:37,480 --> 00:14:40,200 Speaker 2: is that I don't want people to have this. I 280 00:14:40,200 --> 00:14:42,400 Speaker 2: think that people have this fear, Oh AI is going 281 00:14:42,480 --> 00:14:44,920 Speaker 2: to take my job. That's not what you should be 282 00:14:45,000 --> 00:14:47,880 Speaker 2: afraid of. AI is not gonna take your job. But 283 00:14:48,040 --> 00:14:52,120 Speaker 2: someone who understands AI, who has AI skills, may take 284 00:14:52,160 --> 00:14:57,520 Speaker 2: your job. And so that's where that's that particularly. Yeah, Yeah, 285 00:14:58,160 --> 00:15:00,480 Speaker 2: to that particular point you just made. 286 00:15:01,000 --> 00:15:03,760 Speaker 1: LinkedIn has this Jobs on the Rise twenty twenty four list, 287 00:15:03,800 --> 00:15:07,880 Speaker 1: which includes industries like AI, sustainability, and et cetera, which 288 00:15:08,360 --> 00:15:11,400 Speaker 1: are often associated with earning potential, And you talked about 289 00:15:11,480 --> 00:15:14,880 Speaker 1: these core courses and curriculums that are available. What should 290 00:15:14,880 --> 00:15:17,720 Speaker 1: we be looking for specifically when we go because it's 291 00:15:17,800 --> 00:15:20,320 Speaker 1: kind of like you know when they tell you five 292 00:15:20,400 --> 00:15:22,000 Speaker 1: years ago, ten years ago, and they say you should 293 00:15:22,040 --> 00:15:23,800 Speaker 1: learn the code, and they said, all right, I'm gonna 294 00:15:23,800 --> 00:15:27,000 Speaker 1: go learn the code. Now, there's twenty thirty different languages, 295 00:15:27,240 --> 00:15:30,440 Speaker 1: these Ruby on rails, there's Python, there's C plus plus, 296 00:15:30,480 --> 00:15:31,920 Speaker 1: there's all these things. So I'm like, I don't I'm 297 00:15:31,920 --> 00:15:34,720 Speaker 1: swimming in the sea of options of what to learn, 298 00:15:34,760 --> 00:15:36,800 Speaker 1: and you don't know everybody's gonna tell you something different. 299 00:15:37,000 --> 00:15:40,040 Speaker 1: And so when I say, okay, the earning high earning 300 00:15:40,040 --> 00:15:44,000 Speaker 1: potential is in sectors like AI is sustainability, What should 301 00:15:44,040 --> 00:15:45,480 Speaker 1: I be going to learn when I go to that 302 00:15:45,560 --> 00:15:48,000 Speaker 1: list that you talked about what should. 303 00:15:47,720 --> 00:15:49,760 Speaker 2: I be looking at? I think the first thing you 304 00:15:49,800 --> 00:15:52,200 Speaker 2: got to do is get the basics. So there's literally 305 00:15:52,280 --> 00:15:54,640 Speaker 2: AI one O one, like, how to talk about it, 306 00:15:54,640 --> 00:15:57,480 Speaker 2: what the language is, explaining how AI works so that 307 00:15:57,560 --> 00:16:01,320 Speaker 2: people can can really get a baseline understanding. Then I 308 00:16:01,320 --> 00:16:04,320 Speaker 2: would graduate up to prompt engineering because I feel like 309 00:16:04,320 --> 00:16:07,160 Speaker 2: that once you start to understand how the tools work 310 00:16:07,480 --> 00:16:10,000 Speaker 2: and you start to build the language and the lexicon 311 00:16:10,080 --> 00:16:11,960 Speaker 2: to understand it, then the next thing you need to 312 00:16:12,000 --> 00:16:15,560 Speaker 2: do is learn how to harness the tools right. Because 313 00:16:15,560 --> 00:16:17,120 Speaker 2: there's a bunch of tools that are to tell it 314 00:16:17,280 --> 00:16:19,000 Speaker 2: what to do. You got to learn how to tell 315 00:16:19,040 --> 00:16:21,680 Speaker 2: it what to do right. And that's the biggest part 316 00:16:21,880 --> 00:16:25,320 Speaker 2: is that because garbage garbage prompts give you sort of 317 00:16:28,000 --> 00:16:31,640 Speaker 2: once you learn how to right, once you learn how 318 00:16:31,680 --> 00:16:34,600 Speaker 2: to really harness the technology, there's a lot of fun 319 00:16:34,640 --> 00:16:36,560 Speaker 2: to be had with it right. And I think that 320 00:16:36,560 --> 00:16:38,760 Speaker 2: that's the that that's where I think people should start 321 00:16:38,800 --> 00:16:42,000 Speaker 2: to go and then think about what it is that 322 00:16:42,080 --> 00:16:44,040 Speaker 2: you do every day or what it is that you 323 00:16:44,120 --> 00:16:47,200 Speaker 2: eventually want to do. So if you're once you start 324 00:16:47,240 --> 00:16:50,360 Speaker 2: to understand the technology, then you understand how to actually 325 00:16:50,440 --> 00:16:52,840 Speaker 2: use it and how to make the technology do what 326 00:16:52,880 --> 00:16:55,680 Speaker 2: you want to do. Then I think it goes into 327 00:16:55,840 --> 00:16:59,360 Speaker 2: where then is the technology being applied in your field? 328 00:16:59,720 --> 00:17:01,720 Speaker 2: And where do you feel like the inking one make 329 00:17:01,840 --> 00:17:05,920 Speaker 2: your job easier, make you faster, make you smarter, make 330 00:17:06,040 --> 00:17:09,960 Speaker 2: you be able to you know, maximize your workload. And 331 00:17:10,040 --> 00:17:12,679 Speaker 2: that's where you start is then take your time and 332 00:17:12,680 --> 00:17:15,160 Speaker 2: your attention to Okay, what are those tools. The other 333 00:17:15,160 --> 00:17:18,160 Speaker 2: thing I would say is there's been there's no better 334 00:17:18,200 --> 00:17:21,919 Speaker 2: time than now than to start talking to other people 335 00:17:21,960 --> 00:17:24,680 Speaker 2: in whatever your industry or your profession is about how 336 00:17:24,680 --> 00:17:27,639 Speaker 2: they're using AI. I would say too, for most people, 337 00:17:27,880 --> 00:17:30,680 Speaker 2: once you get some some basic language around on how 338 00:17:30,680 --> 00:17:32,840 Speaker 2: to talk about it, I would start talking to people 339 00:17:32,840 --> 00:17:35,480 Speaker 2: at work like, hey, how are we thinking about using AI? 340 00:17:35,760 --> 00:17:37,720 Speaker 2: Talk to your manager, how are we thinking about that? 341 00:17:37,800 --> 00:17:41,040 Speaker 2: There's probably an almost everybody's company right now, there's an 342 00:17:41,080 --> 00:17:46,240 Speaker 2: AI task force or AI or you know, an AI 343 00:17:46,680 --> 00:17:49,800 Speaker 2: like working group. Start to figure out, now that you've 344 00:17:49,800 --> 00:17:51,639 Speaker 2: got some information about it, how do you get on 345 00:17:51,680 --> 00:17:53,439 Speaker 2: that AI working group? How do you start to have 346 00:17:53,480 --> 00:17:56,480 Speaker 2: those conversations? And if you're a member of you know, 347 00:17:56,560 --> 00:18:00,960 Speaker 2: any other groups or professional ORGANI start talking to the 348 00:18:01,000 --> 00:18:03,000 Speaker 2: people in your profession by yo, what are y'all seeing? 349 00:18:03,720 --> 00:18:06,560 Speaker 2: So that you can be ahead of it. Information sharing 350 00:18:06,680 --> 00:18:10,040 Speaker 2: is again one of the major things that I feel 351 00:18:10,080 --> 00:18:14,000 Speaker 2: like is one of our biggest gaps to career advancement. 352 00:18:14,359 --> 00:18:18,080 Speaker 2: And now they're tools that can collapse geography. They're tools 353 00:18:18,080 --> 00:18:20,280 Speaker 2: that can where you can go out and you can say, 354 00:18:20,680 --> 00:18:23,680 Speaker 2: you know, okay, I'm gonna just jump on LinkedIn and 355 00:18:24,400 --> 00:18:26,679 Speaker 2: connect with people that I used to work with in 356 00:18:26,720 --> 00:18:29,399 Speaker 2: my old job or in my industry and say, or 357 00:18:29,480 --> 00:18:31,240 Speaker 2: join one of the groups on there. If it's an 358 00:18:31,240 --> 00:18:33,760 Speaker 2: engineering group, lem's join this engineering group. Is if it's 359 00:18:33,840 --> 00:18:35,960 Speaker 2: PR group, let me join this PR group. You know, 360 00:18:36,200 --> 00:18:39,239 Speaker 2: if it's nurses or people in the medical field, let 361 00:18:39,280 --> 00:18:42,360 Speaker 2: me join this and see how are y'all using this right? 362 00:18:42,840 --> 00:18:45,840 Speaker 2: And I think that that's the way that you figure 363 00:18:45,880 --> 00:18:50,200 Speaker 2: out what's next, because what's next isn't gonna come to you. 364 00:18:50,200 --> 00:18:52,200 Speaker 2: You gotta get to what's next, or you got to 365 00:18:52,240 --> 00:18:54,720 Speaker 2: start to investigate what's next, because by the time it 366 00:18:54,760 --> 00:18:56,960 Speaker 2: comes back to you, is somebody asking you to do 367 00:18:57,040 --> 00:18:58,679 Speaker 2: something that you may or may not have the skills 368 00:18:58,680 --> 00:19:00,119 Speaker 2: to do that. 369 00:19:00,800 --> 00:19:06,040 Speaker 1: And so I want to talk about resume building and skills. 370 00:19:06,119 --> 00:19:08,320 Speaker 1: And so I'm number one, So I got to preface 371 00:19:08,359 --> 00:19:10,960 Speaker 1: it's like I'm a university chair of the board. 372 00:19:11,000 --> 00:19:12,879 Speaker 2: So I'm chair the board of a university. But I 373 00:19:12,960 --> 00:19:13,920 Speaker 2: get also. 374 00:19:14,359 --> 00:19:19,480 Speaker 1: That there's been and a lean towards skills and not 375 00:19:19,520 --> 00:19:23,159 Speaker 1: necessarily degrees, and we're grappling with that, grappling with that also, 376 00:19:23,640 --> 00:19:29,159 Speaker 1: and so you admonish people to highlight their skills versus 377 00:19:29,200 --> 00:19:32,520 Speaker 1: necessarily their resumes their credentials in such a way. And 378 00:19:32,560 --> 00:19:35,080 Speaker 1: I'm a small business owner also, and I think about 379 00:19:35,119 --> 00:19:37,280 Speaker 1: my small business like, I can really care less what 380 00:19:37,320 --> 00:19:39,520 Speaker 1: school you into. I want to know what you can do. 381 00:19:40,280 --> 00:19:43,240 Speaker 1: And I think most small businesses might think that way 382 00:19:43,280 --> 00:19:45,359 Speaker 1: because what we need is people who can hit the 383 00:19:45,359 --> 00:19:49,040 Speaker 1: ground running faster. And your credentials don't necessarily say that 384 00:19:49,080 --> 00:19:51,080 Speaker 1: you can hit the ground running faster. What you can 385 00:19:51,160 --> 00:19:53,720 Speaker 1: show me shows me that you can hit the ground 386 00:19:53,800 --> 00:19:59,280 Speaker 1: running faster. And I think I feel like what that 387 00:20:00,080 --> 00:20:03,639 Speaker 1: as more small businesses hire more people. Number one, there 388 00:20:03,640 --> 00:20:05,840 Speaker 1: are more people who are employed by small businesses than 389 00:20:05,840 --> 00:20:08,280 Speaker 1: anything else in the country. Yeah, so as more of 390 00:20:08,359 --> 00:20:12,080 Speaker 1: us think that way, then the degree the credentials mean 391 00:20:12,200 --> 00:20:15,160 Speaker 1: less over time. And so can you talk about help 392 00:20:15,240 --> 00:20:17,920 Speaker 1: me think about think that through yep. 393 00:20:18,200 --> 00:20:23,080 Speaker 2: I listen everybody from LinkedIn the world's largest professional network, 394 00:20:23,240 --> 00:20:26,640 Speaker 2: to the President of the United States and the s 395 00:20:26,720 --> 00:20:29,480 Speaker 2: in the State of the Union is talking about skills, 396 00:20:29,520 --> 00:20:32,120 Speaker 2: skills based hiring, and skills first hiring. I think it's 397 00:20:32,160 --> 00:20:33,760 Speaker 2: the way of the future. I think it is the 398 00:20:33,800 --> 00:20:37,840 Speaker 2: way I think is a It is a pathway to 399 00:20:38,040 --> 00:20:42,600 Speaker 2: more and to a more equitable workforce. Having a four 400 00:20:42,680 --> 00:20:47,760 Speaker 2: year degree requirement actually just puts tons of jobs that 401 00:20:47,800 --> 00:20:50,439 Speaker 2: don't that should not be out of reach, out of 402 00:20:50,440 --> 00:20:53,440 Speaker 2: reach for large swaths of people of color in particular. 403 00:20:53,640 --> 00:20:55,600 Speaker 2: Let's just point blank period. I mean, that's just it 404 00:20:55,680 --> 00:20:58,480 Speaker 2: is what it is. Yes, our educational attainment is going 405 00:20:58,560 --> 00:21:02,920 Speaker 2: up every year, particularly by black women, but if we 406 00:21:02,960 --> 00:21:06,240 Speaker 2: took away the four year degree requirement, it would open 407 00:21:06,280 --> 00:21:09,679 Speaker 2: the aperture for many, many more people of color to 408 00:21:09,760 --> 00:21:14,720 Speaker 2: get knowledge, knowledge based you know, air quotes white collar jobs. 409 00:21:15,320 --> 00:21:17,160 Speaker 2: So I do think that that is where we're where 410 00:21:17,160 --> 00:21:19,520 Speaker 2: we're going to go. I think that it's going to be. 411 00:21:20,480 --> 00:21:22,919 Speaker 2: But we're not completely there yet, right like we I 412 00:21:23,160 --> 00:21:24,840 Speaker 2: just be honest with you, We're not completely there yet. 413 00:21:24,840 --> 00:21:27,120 Speaker 2: But it is where people are starting to go. Even 414 00:21:27,160 --> 00:21:31,080 Speaker 2: our company, we've removed four year degree requirements from most 415 00:21:31,160 --> 00:21:34,719 Speaker 2: of our jobs at LinkedIn, and we're a tech company, right. 416 00:21:35,720 --> 00:21:38,320 Speaker 2: I will say, the thing that I want people to understand, 417 00:21:38,320 --> 00:21:40,560 Speaker 2: and even people who are at universities and who are 418 00:21:40,600 --> 00:21:43,000 Speaker 2: who are getting degrees and getting master's degrees and all 419 00:21:43,080 --> 00:21:45,040 Speaker 2: those things, is that you still are going to have 420 00:21:45,080 --> 00:21:48,160 Speaker 2: to talk about your skills. Regardless of how great your 421 00:21:48,240 --> 00:21:50,879 Speaker 2: grades were, You're going to be able to talk have 422 00:21:51,000 --> 00:21:54,159 Speaker 2: to talk to recruiters about what you know how to 423 00:21:54,240 --> 00:21:57,680 Speaker 2: do and where you have done it previously. You've got 424 00:21:57,720 --> 00:21:59,960 Speaker 2: to have a skills conversation. I want to see your portfolio. 425 00:22:00,280 --> 00:22:05,480 Speaker 2: I really don't care ABOUTIO, right, And that's that's just 426 00:22:05,520 --> 00:22:08,120 Speaker 2: what matters like listen. I mean, I love to tell 427 00:22:08,160 --> 00:22:10,439 Speaker 2: people that I graduated from Morehouse College. I love to 428 00:22:10,440 --> 00:22:14,640 Speaker 2: tell people that I have a business uh NBA from 429 00:22:14,800 --> 00:22:17,359 Speaker 2: of course what a school of business at EMMRA University. 430 00:22:17,720 --> 00:22:20,760 Speaker 2: But ain't nobody asking me? Not usually, you know what 431 00:22:20,800 --> 00:22:26,640 Speaker 2: I'm saying, Nobody's really, ain't nobody asked me yet? Ain't 432 00:22:26,680 --> 00:22:29,520 Speaker 2: nobody asked me? And here's the deal? Is that? And 433 00:22:29,560 --> 00:22:31,560 Speaker 2: what what I will say? And here's this goes back 434 00:22:31,560 --> 00:22:33,960 Speaker 2: to the AI thing to a little bit. Is that 435 00:22:34,000 --> 00:22:37,880 Speaker 2: we just released our most in demand skills. These are 436 00:22:37,880 --> 00:22:43,080 Speaker 2: the skills that companies are asking for most for all 437 00:22:43,119 --> 00:22:45,199 Speaker 2: of the out of all of the job postings on 438 00:22:45,240 --> 00:22:50,520 Speaker 2: our entire website, right, and the number one skill across 439 00:22:50,560 --> 00:22:53,359 Speaker 2: the board for the second year in a row. Most 440 00:22:53,440 --> 00:22:57,680 Speaker 2: in demand is communication and so part of that is 441 00:22:58,280 --> 00:23:02,959 Speaker 2: human skills, people centric skills. The future of work is 442 00:23:03,000 --> 00:23:07,119 Speaker 2: going to be human, no matter how pervasive AI becomes. 443 00:23:07,560 --> 00:23:11,280 Speaker 2: You the people skills are really in Those human skills 444 00:23:11,359 --> 00:23:15,639 Speaker 2: are really what's most in demand. Yeah, and more technical jobs. 445 00:23:15,640 --> 00:23:20,159 Speaker 2: There's gonna be other parts of it, but leadership, management, 446 00:23:20,680 --> 00:23:26,600 Speaker 2: team work, analysis, communication, those things really matter. We see 447 00:23:26,640 --> 00:23:30,439 Speaker 2: so many recruiters who say to us, we've got people 448 00:23:30,440 --> 00:23:33,120 Speaker 2: who are in their early careers, who are graduating from 449 00:23:33,200 --> 00:23:37,680 Speaker 2: college and they've got, you know, education, but they can't present, 450 00:23:37,920 --> 00:23:41,560 Speaker 2: or they can't write, or they can't or they can't 451 00:23:41,720 --> 00:23:47,520 Speaker 2: make a concise or data based argument. They're arguing with 452 00:23:47,680 --> 00:23:50,399 Speaker 2: feelings and what they you know, and what they think 453 00:23:50,960 --> 00:23:54,080 Speaker 2: as opposed to facts and data. And they're like, we, 454 00:23:55,000 --> 00:23:57,760 Speaker 2: you know, we're trying to grapple with how do we 455 00:23:58,520 --> 00:24:02,040 Speaker 2: train them to have these skills for these skills of 456 00:24:02,040 --> 00:24:06,000 Speaker 2: analysis and things like that. We talk to recruiters and 457 00:24:07,000 --> 00:24:09,920 Speaker 2: over forty eight percent of recruiters say that they are 458 00:24:10,040 --> 00:24:13,480 Speaker 2: using skills to source for talent. And we've got to 459 00:24:13,520 --> 00:24:18,399 Speaker 2: teach candidates how to now reimagine how they talk about 460 00:24:18,440 --> 00:24:22,960 Speaker 2: their skills in job interviews, and employees how to make 461 00:24:22,960 --> 00:24:27,840 Speaker 2: sure that they're always upskilling and keeping their skills fresh 462 00:24:28,200 --> 00:24:32,320 Speaker 2: and tight, and looking at how they continuously talk about 463 00:24:32,440 --> 00:24:33,640 Speaker 2: their skills and action. 464 00:24:35,160 --> 00:24:37,480 Speaker 1: To you, great point, because it brings me to a 465 00:24:37,560 --> 00:24:40,720 Speaker 1: quote that you gave, I think in an article on 466 00:24:40,760 --> 00:24:43,600 Speaker 1: afrotech and so you taught. You said in twenty twenty four, 467 00:24:43,640 --> 00:24:46,600 Speaker 1: we have agency. We want more than just jobs. It's 468 00:24:46,640 --> 00:24:50,000 Speaker 1: a new era where it's not just about stability, it's 469 00:24:50,040 --> 00:24:53,880 Speaker 1: about thriving and telling our personal story in a professional world. 470 00:24:54,160 --> 00:24:58,440 Speaker 1: And so with that in one hand, you think about 471 00:24:58,960 --> 00:25:03,560 Speaker 1: at least historically, longevity in the role meant trajectory. It 472 00:25:03,600 --> 00:25:05,440 Speaker 1: meant that you were gonna make more, you were gonna 473 00:25:05,440 --> 00:25:06,200 Speaker 1: get higher. 474 00:25:06,000 --> 00:25:07,240 Speaker 2: Better, prestigious jobs. 475 00:25:07,600 --> 00:25:10,200 Speaker 1: And what you're saying is that we're not just looking 476 00:25:10,240 --> 00:25:13,879 Speaker 1: for you know, jobs for fine ten twenty years like 477 00:25:14,040 --> 00:25:18,680 Speaker 1: our predecessors. Yeah, so then how do you reconcile being 478 00:25:18,720 --> 00:25:21,520 Speaker 1: able to make more and more money when we might 479 00:25:21,680 --> 00:25:26,680 Speaker 1: jump every three ish four ish years. 480 00:25:25,560 --> 00:25:29,240 Speaker 2: Or more longer? Right? Listen, I think that there that 481 00:25:29,720 --> 00:25:32,520 Speaker 2: longevity has a place as long as you're being compensated 482 00:25:32,520 --> 00:25:34,960 Speaker 2: and appreciated, as long as you are still you're being 483 00:25:35,320 --> 00:25:38,439 Speaker 2: whatever you the thing that you get from work that 484 00:25:38,480 --> 00:25:42,200 Speaker 2: you're getting right. I'm very money motivated. So I've made 485 00:25:42,200 --> 00:25:46,080 Speaker 2: a lot of my decisions early in my career based 486 00:25:46,119 --> 00:25:48,479 Speaker 2: on how much bang for the buck am I getting, 487 00:25:48,640 --> 00:25:51,360 Speaker 2: Like carried to one, what's my carry with one my institute, 488 00:25:51,400 --> 00:25:53,960 Speaker 2: what's my check on the person? At fifteen? Now I'm 489 00:25:54,000 --> 00:25:58,080 Speaker 2: a little bit older. Now I'm almost fifty, and I 490 00:25:58,119 --> 00:26:03,320 Speaker 2: am thinking about how I spend my time very differently, right, 491 00:26:03,680 --> 00:26:07,520 Speaker 2: And so money is still a great motivating factor in 492 00:26:07,560 --> 00:26:12,040 Speaker 2: my career, but I'm also thinking about where do I 493 00:26:12,160 --> 00:26:15,240 Speaker 2: take my skills and my talent? Right, So I think 494 00:26:15,240 --> 00:26:17,560 Speaker 2: that that's part of it. What I would say to 495 00:26:17,880 --> 00:26:22,040 Speaker 2: people in their careers of like, okay, yeah, you have 496 00:26:22,359 --> 00:26:25,240 Speaker 2: the agency piece comes in. I have a plan for 497 00:26:25,320 --> 00:26:29,840 Speaker 2: my career. I see the pathway forward. Most jobs are 498 00:26:30,000 --> 00:26:33,639 Speaker 2: vehicles and not destinations. And I think that once you 499 00:26:33,840 --> 00:26:37,120 Speaker 2: sort of get that as part of the mentality, how 500 00:26:37,119 --> 00:26:40,879 Speaker 2: does this job as is this a vehicle that gets 501 00:26:40,920 --> 00:26:45,920 Speaker 2: me to the next opportunity? For if visibility is important 502 00:26:45,920 --> 00:26:49,960 Speaker 2: to me, if opportunity is important to me, if money 503 00:26:50,000 --> 00:26:53,280 Speaker 2: is important to me, how does this job become a 504 00:26:53,400 --> 00:26:57,400 Speaker 2: vehicle that gets me to that next destination? And that 505 00:26:57,520 --> 00:26:59,720 Speaker 2: vehicle and that job becomes a vehicle to get me 506 00:26:59,720 --> 00:27:03,879 Speaker 2: today next destination. Sometimes that that move may be within 507 00:27:04,000 --> 00:27:06,760 Speaker 2: the company. I tell employers all the time that your 508 00:27:06,920 --> 00:27:10,359 Speaker 2: next best employee might be your current employee. You just 509 00:27:10,440 --> 00:27:12,320 Speaker 2: have to move them into a space to where they 510 00:27:12,359 --> 00:27:12,879 Speaker 2: can thrive. 511 00:27:13,920 --> 00:27:14,120 Speaker 3: Right. 512 00:27:14,640 --> 00:27:16,480 Speaker 2: And so that's the other thing that I say to 513 00:27:16,800 --> 00:27:20,240 Speaker 2: to black folks, right, is that you have to have 514 00:27:20,280 --> 00:27:22,840 Speaker 2: a plan for your career. The last thing that the 515 00:27:22,960 --> 00:27:25,600 Speaker 2: REF says to a fighter in the ring every time 516 00:27:25,960 --> 00:27:29,240 Speaker 2: is protect yourself at all times. And that is the 517 00:27:29,280 --> 00:27:32,760 Speaker 2: way I think about us and our careers. Protect yourself 518 00:27:32,800 --> 00:27:35,320 Speaker 2: at all times means that if I get that pink 519 00:27:35,359 --> 00:27:37,840 Speaker 2: stuff tomorrow, I ain't got I ain't gotta get ready 520 00:27:37,840 --> 00:27:41,560 Speaker 2: because I'm already ready. My resume is updated every six months. Right, 521 00:27:43,240 --> 00:27:47,240 Speaker 2: if that comes at me, I also have I also 522 00:27:47,400 --> 00:27:49,720 Speaker 2: have a network where I'm keeping people. I've got my 523 00:27:49,760 --> 00:27:52,920 Speaker 2: personal border directors in place. They can help me walk 524 00:27:52,960 --> 00:27:56,760 Speaker 2: through that. Right. I've been thinking about what my next 525 00:27:56,800 --> 00:28:00,879 Speaker 2: opportunity should be or could be anyway, so I don't 526 00:28:00,920 --> 00:28:05,760 Speaker 2: have the same emotional attachment to this particular job, even 527 00:28:05,760 --> 00:28:09,400 Speaker 2: if I enjoyed the work, because I'm thinking about what 528 00:28:09,520 --> 00:28:13,400 Speaker 2: my next move could be Now, I may be disappointed, absolutely, 529 00:28:13,680 --> 00:28:15,680 Speaker 2: but I'm not gonna be disillusioning and not gonna be 530 00:28:15,720 --> 00:28:20,280 Speaker 2: defeated because I'm thinking about how do I protect myself 531 00:28:20,280 --> 00:28:24,040 Speaker 2: at all times and if I'm in a job where 532 00:28:24,560 --> 00:28:28,639 Speaker 2: i feel like that I'm contorting and I'm you know, 533 00:28:28,680 --> 00:28:31,600 Speaker 2: assimilation is exhausting, and if i feel like I'm balled 534 00:28:31,680 --> 00:28:33,880 Speaker 2: up in a not all the time, I always tell 535 00:28:33,920 --> 00:28:37,480 Speaker 2: people like, look, do not let these jobs rob you 536 00:28:37,640 --> 00:28:41,239 Speaker 2: of your hairline, or your edges, or your relationship, or 537 00:28:41,280 --> 00:28:44,640 Speaker 2: your happiness, or your joy or your time with your kids. 538 00:28:45,120 --> 00:28:49,880 Speaker 2: Like there's so many places out here that will actually 539 00:28:50,000 --> 00:28:55,600 Speaker 2: appreciate the goodness that you bring to a professional setting. 540 00:28:55,840 --> 00:28:59,560 Speaker 2: And I talk about work in this way because we 541 00:28:59,640 --> 00:29:02,280 Speaker 2: when we talked about code switching at and our latest 542 00:29:02,280 --> 00:29:07,480 Speaker 2: survey with black professionals at LinkedIn, sixty black professionals felt 543 00:29:07,480 --> 00:29:09,720 Speaker 2: like that they had to code switch at work, and 544 00:29:10,160 --> 00:29:12,680 Speaker 2: forty two percent of them said that their parents and 545 00:29:12,720 --> 00:29:16,280 Speaker 2: their families told them that they need to do it right. 546 00:29:16,960 --> 00:29:20,000 Speaker 2: And so what I try to do is speak agency 547 00:29:20,080 --> 00:29:25,240 Speaker 2: into the professional lives of my friends or people who 548 00:29:25,280 --> 00:29:28,320 Speaker 2: see me on TV, or people who who I'm giving 549 00:29:28,320 --> 00:29:33,479 Speaker 2: career advice to because I recognize that nobody was speaking 550 00:29:33,560 --> 00:29:36,960 Speaker 2: agency over my career until I was almost thirty or 551 00:29:36,960 --> 00:29:39,840 Speaker 2: forty years old. They were saying, don't do this, don't 552 00:29:39,840 --> 00:29:44,000 Speaker 2: do that. Better be thankful for that right, And I'm like, 553 00:29:44,600 --> 00:29:48,600 Speaker 2: you have agency if you put the right strategy in place, 554 00:29:48,880 --> 00:29:51,320 Speaker 2: You're looking at your network in the right way, you 555 00:29:51,360 --> 00:29:53,640 Speaker 2: get your skills to where they need to be. You 556 00:29:53,800 --> 00:29:57,240 Speaker 2: understand what your superpower is and what you bring to 557 00:29:57,320 --> 00:30:00,960 Speaker 2: the professional world that is special and you that helps 558 00:30:00,960 --> 00:30:04,800 Speaker 2: people solve problems that are important. You gonna be okay. 559 00:30:05,360 --> 00:30:08,920 Speaker 2: And you don't have to be in a space or 560 00:30:08,960 --> 00:30:12,200 Speaker 2: a job or a role for long periods of time 561 00:30:13,000 --> 00:30:15,920 Speaker 2: where you feel defeated or that you feel like that 562 00:30:16,000 --> 00:30:18,040 Speaker 2: there's no opportunity for you to grow. You better than 563 00:30:18,080 --> 00:30:18,840 Speaker 2: that you better at a. 564 00:30:18,880 --> 00:30:22,719 Speaker 1: Job to that point, and this is the last one 565 00:30:22,760 --> 00:30:24,400 Speaker 1: I got for y'all. Want to do respectful. Your time 566 00:30:24,680 --> 00:30:30,080 Speaker 1: is DEI is under attack, right, and I have a view, 567 00:30:30,480 --> 00:30:35,400 Speaker 1: and it's been shown that every obstacle presents an opportunity. 568 00:30:35,600 --> 00:30:39,360 Speaker 1: And also that diversity is good for a business. It's 569 00:30:39,400 --> 00:30:42,720 Speaker 1: not just morally good, it's good for the bottom line, 570 00:30:42,920 --> 00:30:45,240 Speaker 1: and so that can't be lost. 571 00:30:45,280 --> 00:30:45,920 Speaker 2: I'm hoping. 572 00:30:46,000 --> 00:30:48,040 Speaker 1: You know, I'm saying it's completing like that can't be 573 00:30:48,120 --> 00:30:53,400 Speaker 1: lost on smart companies, that diversity is good for a business. 574 00:30:53,960 --> 00:30:58,040 Speaker 1: So if taking those two things, diversity is good for 575 00:30:58,160 --> 00:31:04,240 Speaker 1: business and they're is an opportunity in every obstacle, how 576 00:31:04,320 --> 00:31:09,480 Speaker 1: could this attack on the the E and I be 577 00:31:09,600 --> 00:31:14,280 Speaker 1: looked at differently other than just you know, woe is us? 578 00:31:14,320 --> 00:31:17,120 Speaker 1: You know they're trying to attack us again. How do 579 00:31:17,200 --> 00:31:19,360 Speaker 1: we see the opportunity here potentially? 580 00:31:20,360 --> 00:31:22,920 Speaker 2: Yo? So I look at it like this, right? Is 581 00:31:23,000 --> 00:31:26,520 Speaker 2: that I feel like D and I and DEI has 582 00:31:26,600 --> 00:31:30,600 Speaker 2: needed an overhaul for probably the last twenty years. I 583 00:31:30,600 --> 00:31:32,960 Speaker 2: think that, you know, we've made great strides, but I 584 00:31:32,960 --> 00:31:35,960 Speaker 2: think we low KI have been maybe doing it wrong 585 00:31:36,080 --> 00:31:39,400 Speaker 2: and not had the courage to actually you know, pull 586 00:31:39,480 --> 00:31:41,960 Speaker 2: the pull the lever stop and make them and make 587 00:31:42,000 --> 00:31:47,080 Speaker 2: a market shift. I think what the what the the 588 00:31:47,120 --> 00:31:51,560 Speaker 2: silver lining may be in this is that now DEI professionals, 589 00:31:51,600 --> 00:31:53,560 Speaker 2: the people who are really committed to it, they're about 590 00:31:53,560 --> 00:31:55,400 Speaker 2: to go back into the lab. They're going to go 591 00:31:55,480 --> 00:31:58,360 Speaker 2: back into the lab now with attorneys. They're going to 592 00:31:58,400 --> 00:32:02,000 Speaker 2: go back into the lab now with policy folks. And 593 00:32:02,040 --> 00:32:06,000 Speaker 2: that they and if they do the real work of saying, Okay, 594 00:32:06,160 --> 00:32:09,400 Speaker 2: how can we make this work unassailable? How can we 595 00:32:09,440 --> 00:32:12,240 Speaker 2: still get to what we need to do and make 596 00:32:12,320 --> 00:32:16,120 Speaker 2: this work unassailable. Let's go in and go under the 597 00:32:16,160 --> 00:32:19,480 Speaker 2: hood and actually take this moment and fix all of 598 00:32:19,480 --> 00:32:22,840 Speaker 2: these things. Let's fill in these gaps. And because Deus 599 00:32:23,320 --> 00:32:25,640 Speaker 2: has had some gaps, even the companies that have put 600 00:32:25,680 --> 00:32:29,400 Speaker 2: in major work, how do you now say, Okay, we're 601 00:32:29,440 --> 00:32:31,560 Speaker 2: about to go back into lab and what comes out 602 00:32:31,560 --> 00:32:34,880 Speaker 2: of this is gonna be unassailable. Right, It's gonna work. 603 00:32:34,920 --> 00:32:36,840 Speaker 2: We're gonna take the best of what we've seen and 604 00:32:36,840 --> 00:32:39,560 Speaker 2: we're gonna kick the old stuff out. Right. I hope 605 00:32:39,600 --> 00:32:41,920 Speaker 2: that we see on the other side of this is 606 00:32:41,960 --> 00:32:44,880 Speaker 2: that a whole new strategy emerges, a whole new way 607 00:32:44,880 --> 00:32:48,360 Speaker 2: of talking about this. The legislation and the potential court 608 00:32:48,400 --> 00:32:51,560 Speaker 2: cases is gonna make us use different language and different 609 00:32:51,560 --> 00:32:53,640 Speaker 2: words to talk about this, right, And I think that 610 00:32:53,680 --> 00:32:56,120 Speaker 2: we needed a language overhaul in DEI for a long 611 00:32:56,160 --> 00:32:58,560 Speaker 2: time anyway, And so this may be the forcing factor 612 00:32:58,600 --> 00:33:01,280 Speaker 2: that takes us from good to great. That's the way 613 00:33:01,280 --> 00:33:02,840 Speaker 2: I see it. I think the people who are truly 614 00:33:02,880 --> 00:33:06,200 Speaker 2: committed to it may be quiet in this next view, 615 00:33:06,480 --> 00:33:08,640 Speaker 2: this next eighteen to twenty four months. Some of the 616 00:33:08,680 --> 00:33:10,680 Speaker 2: people that have been really loud may have to get 617 00:33:10,760 --> 00:33:13,400 Speaker 2: quiet for a little while. But when they come back, 618 00:33:14,040 --> 00:33:17,360 Speaker 2: my gut says to me that a lot of people 619 00:33:17,360 --> 00:33:19,600 Speaker 2: are gonna come back, and they're gonna come back with 620 00:33:20,280 --> 00:33:24,840 Speaker 2: better ideas, better impact, better innovation, better ways of measurement, 621 00:33:25,240 --> 00:33:27,960 Speaker 2: and better ways of thinking about what impact looks like. 622 00:33:28,120 --> 00:33:30,640 Speaker 2: Because here's my think on it, will is that if 623 00:33:30,760 --> 00:33:35,360 Speaker 2: I go to a company and they say, oh, well, 624 00:33:36,000 --> 00:33:38,280 Speaker 2: I want you to know that they're fourteen percent of 625 00:33:38,280 --> 00:33:41,520 Speaker 2: the view of the of the US population is African 626 00:33:41,560 --> 00:33:45,080 Speaker 2: American and we have you know, ten percent African Americans 627 00:33:45,120 --> 00:33:47,960 Speaker 2: at this company, and you're like, oh wow, that's crazy, 628 00:33:48,120 --> 00:33:51,760 Speaker 2: Like that's crazy good for most companies in terms of representation. 629 00:33:52,280 --> 00:33:55,320 Speaker 2: But if all of those all of those black people 630 00:33:55,920 --> 00:34:00,920 Speaker 2: went to Dartmouth, went to you know, they went to Dartmouth, 631 00:34:01,240 --> 00:34:06,160 Speaker 2: they went to Harvard, they went to Yale, talk to 632 00:34:06,200 --> 00:34:10,120 Speaker 2: me a little bit about representation again, right, Because you 633 00:34:10,160 --> 00:34:13,239 Speaker 2: can go to some companies and all of the black 634 00:34:13,280 --> 00:34:16,799 Speaker 2: folks came from the same three schools. I'm not saying 635 00:34:16,800 --> 00:34:19,480 Speaker 2: that that's a bad thing. I'm saying it ain't necessarily 636 00:34:19,520 --> 00:34:22,719 Speaker 2: representation thing, right, it's a thing. It's a thing. It's 637 00:34:22,719 --> 00:34:24,400 Speaker 2: a thing that we don't talk about because you know, 638 00:34:24,480 --> 00:34:26,680 Speaker 2: oftentimes we just happen to see some more black folks there, 639 00:34:27,120 --> 00:34:29,200 Speaker 2: you know what I mean. But I think that we're 640 00:34:29,239 --> 00:34:32,760 Speaker 2: gonna come back smarter, We're gonna come back stronger. And listen, 641 00:34:32,800 --> 00:34:34,879 Speaker 2: you're right about them. This is the last thing I'll 642 00:34:34,880 --> 00:34:39,040 Speaker 2: say is you're absolutely right about the the These companies 643 00:34:39,480 --> 00:34:42,880 Speaker 2: need representation. Ninety percent of the population growth that has 644 00:34:42,880 --> 00:34:44,880 Speaker 2: happened in this country in the last fifteen years has 645 00:34:44,880 --> 00:34:47,800 Speaker 2: come from communities of color. If you don't have black, 646 00:34:48,320 --> 00:34:53,279 Speaker 2: Latino Asian folks and listen also LGBTQ plus folks in 647 00:34:53,320 --> 00:34:56,279 Speaker 2: your companies helping you decode culture, you're not gonna sell 648 00:34:56,320 --> 00:34:57,920 Speaker 2: You're not gonna sell products in the way that you 649 00:34:57,920 --> 00:35:02,359 Speaker 2: need to sell products because you can't just engage. You 650 00:35:02,400 --> 00:35:04,480 Speaker 2: can't engage us in the same ways that you did 651 00:35:04,560 --> 00:35:08,800 Speaker 2: because the younger, younger people of color and younger women 652 00:35:08,840 --> 00:35:12,600 Speaker 2: of color in particular, are just not down for to 653 00:35:12,719 --> 00:35:15,160 Speaker 2: take the same things from companies that they do business 654 00:35:15,160 --> 00:35:18,560 Speaker 2: with that you know, previous generations were down to do. 655 00:35:19,160 --> 00:35:24,600 Speaker 2: And you've got to have that representation to really understand culture, 656 00:35:25,000 --> 00:35:28,120 Speaker 2: and I think culture is going to be particularly in 657 00:35:28,800 --> 00:35:33,160 Speaker 2: as the country becomes more and more diverse and becomes 658 00:35:33,400 --> 00:35:36,919 Speaker 2: majority multicultural in just a short order of time. It's 659 00:35:37,000 --> 00:35:40,480 Speaker 2: going to be even more incummon upon these companies to 660 00:35:40,600 --> 00:35:43,600 Speaker 2: make sure that they not only have representation, but they 661 00:35:43,600 --> 00:35:47,560 Speaker 2: have representation that they're listening to and that they are 662 00:35:47,600 --> 00:35:50,680 Speaker 2: giving voice and optionality. 663 00:35:49,840 --> 00:36:07,040 Speaker 3: To Black Tech. 664 00:36:07,040 --> 00:36:09,759 Speaker 1: Green Money is a production of Blavity Afro Tech on 665 00:36:09,920 --> 00:36:13,120 Speaker 1: the Black Effect Podcast Network and Ihurt Media. It's produced 666 00:36:13,160 --> 00:36:16,960 Speaker 1: by Morgan Debonne and me Well Lucas, with additional production 667 00:36:17,040 --> 00:36:20,640 Speaker 1: support by Sarah Ergin and Love Beach. Special thank you 668 00:36:20,680 --> 00:36:23,759 Speaker 1: to Michael Davis and Kay McDonald. Learn more about my 669 00:36:23,840 --> 00:36:26,400 Speaker 1: guests and other tech. This is an innovators at afrotech 670 00:36:26,480 --> 00:36:30,200 Speaker 1: dot com. I'm joining Black Tech Green Money. Share us 671 00:36:30,239 --> 00:36:33,080 Speaker 1: with somebody Go get your money. 672 00:36:33,640 --> 00:36:34,200 Speaker 3: He's in love