1 00:00:05,160 --> 00:00:08,959 Speaker 1: Hey bea fan. Welcome to the show. Welcome to another 2 00:00:09,000 --> 00:00:12,000 Speaker 1: episode of Bran Ambition. I am your host, Mandy Money, 3 00:00:12,560 --> 00:00:15,200 Speaker 1: and I am so excited to be here with y'all. 4 00:00:15,240 --> 00:00:18,560 Speaker 1: It has been a hell of a few weeks. I 5 00:00:18,680 --> 00:00:22,160 Speaker 1: have been off my regular schedule. Back to school season 6 00:00:22,480 --> 00:00:24,759 Speaker 1: hit me like a ton of bricks, really hit my 7 00:00:24,840 --> 00:00:27,960 Speaker 1: son most of all. But you know, things have been 8 00:00:28,000 --> 00:00:33,440 Speaker 1: a little wacky. Kids been sick. Back to school obviously, 9 00:00:33,520 --> 00:00:36,479 Speaker 1: everything picks back up the week after Labor Day, so 10 00:00:36,680 --> 00:00:38,680 Speaker 1: last week was like very busy, and I'm sure a 11 00:00:38,720 --> 00:00:41,159 Speaker 1: lot of y'all can relate. Just trying to get my 12 00:00:41,200 --> 00:00:43,560 Speaker 1: head on straight, trying to get the routine back into 13 00:00:43,680 --> 00:00:47,199 Speaker 1: a groove. I also have, if you're watching on YouTube, 14 00:00:47,760 --> 00:00:51,000 Speaker 1: the wall of my office, which yes I'm in. I'm 15 00:00:51,000 --> 00:00:53,360 Speaker 1: back in my office now. I reclaimed my office, that 16 00:00:53,479 --> 00:00:56,200 Speaker 1: was my goal for the summer, finally made it happen. 17 00:00:56,960 --> 00:01:00,440 Speaker 1: Is it an empty room with no decoration? Yes? But 18 00:01:00,520 --> 00:01:02,560 Speaker 1: is it mine? And is there a door that I 19 00:01:02,600 --> 00:01:07,360 Speaker 1: can close? Hell? Yes? So that means my two kiddos 20 00:01:07,400 --> 00:01:10,760 Speaker 1: have been moved into. We only have a three bedroom house, 21 00:01:11,280 --> 00:01:13,959 Speaker 1: so this was my original office. But then when I 22 00:01:13,959 --> 00:01:16,640 Speaker 1: had done had that baby. Then it became the baby room, 23 00:01:16,680 --> 00:01:19,920 Speaker 1: and then it became the baby's room again when I 24 00:01:20,040 --> 00:01:22,880 Speaker 1: obviously had my second. But now both boys are big enough, 25 00:01:23,280 --> 00:01:26,320 Speaker 1: they're sharing a bunk bed. They love it. They're sleeping 26 00:01:26,319 --> 00:01:28,480 Speaker 1: better than ever. I wish we'd done it sooner, but 27 00:01:29,040 --> 00:01:33,120 Speaker 1: it's done now. I'm back in my office, so I 28 00:01:33,160 --> 00:01:36,360 Speaker 1: know that, especially for me, there's a lot of goals 29 00:01:36,400 --> 00:01:40,840 Speaker 1: that I have for myself, big business goals, big career goals, 30 00:01:40,880 --> 00:01:44,720 Speaker 1: big money goals. But as I'm saying that out loud, 31 00:01:44,800 --> 00:01:46,880 Speaker 1: I'm like, what a huge achievement it is in an 32 00:01:46,920 --> 00:01:50,120 Speaker 1: accomplishment to have two children who are getting long enough 33 00:01:50,160 --> 00:01:53,840 Speaker 1: to sleep in the same room, and they're sleeping better 34 00:01:53,920 --> 00:01:59,760 Speaker 1: because they're such buddies. So just quick little huh. Maybe 35 00:01:59,800 --> 00:02:03,920 Speaker 1: I'm a little bit good at parenting. I don't know. Shocking, 36 00:02:04,520 --> 00:02:07,240 Speaker 1: but if you are watching on YouTube in my new office, 37 00:02:07,560 --> 00:02:10,120 Speaker 1: my wall to the left is sort of looking like 38 00:02:10,160 --> 00:02:13,160 Speaker 1: you know that show Homeland with Carrie. I almost at 39 00:02:13,200 --> 00:02:17,200 Speaker 1: Carrie Underwood. Nope, not Carrie Bradshaw either. I don't know 40 00:02:17,280 --> 00:02:21,359 Speaker 1: what it is. Her name, blonde girl, Cia Operative. She's 41 00:02:21,440 --> 00:02:25,960 Speaker 1: bipolar and she is constantly creating these walls with like 42 00:02:26,280 --> 00:02:29,320 Speaker 1: pictures and sources and leads, and you know, it's like 43 00:02:29,840 --> 00:02:33,400 Speaker 1: kind of chaotic. So I'm not bipolar. Shout out to 44 00:02:33,440 --> 00:02:38,960 Speaker 1: anyone who is. And on my wall, I have just 45 00:02:39,000 --> 00:02:42,160 Speaker 1: a bunch of sticky notes because my big project is 46 00:02:42,200 --> 00:02:45,240 Speaker 1: I have a big ass deadline for my book by 47 00:02:45,280 --> 00:02:49,400 Speaker 1: the end of September. My final, final, final manuscript, which 48 00:02:49,720 --> 00:02:52,240 Speaker 1: technically was supposed to be due at the end of 49 00:02:52,800 --> 00:02:56,320 Speaker 1: April early May this year, but I didn't turn it. 50 00:02:56,360 --> 00:02:59,639 Speaker 1: I turned an a manuscript. But yeah, you know how 51 00:02:59,680 --> 00:03:02,440 Speaker 1: sometimes you turn in your work at school and you 52 00:03:02,639 --> 00:03:05,400 Speaker 1: know it's not the final product, but you know, you 53 00:03:05,480 --> 00:03:08,320 Speaker 1: got to have something turned in. And I turned in 54 00:03:08,639 --> 00:03:11,080 Speaker 1: a manuscript and I knew when I turned it in 55 00:03:11,200 --> 00:03:13,120 Speaker 1: that it was not in the most polished, it was 56 00:03:13,200 --> 00:03:15,800 Speaker 1: not done, But I turned in what I had because 57 00:03:15,840 --> 00:03:17,640 Speaker 1: sometimes you just got to turn it in dirty. You 58 00:03:17,639 --> 00:03:19,120 Speaker 1: got to do it dirty. You got to do it, 59 00:03:19,760 --> 00:03:21,680 Speaker 1: you know, you got to do it not to your 60 00:03:21,680 --> 00:03:26,280 Speaker 1: full expectation, just to get some momentum moving. And then 61 00:03:26,360 --> 00:03:29,360 Speaker 1: I had a long, you know, couple of months waiting 62 00:03:29,400 --> 00:03:32,440 Speaker 1: for editorial feedback from my publisher, and then I get it, 63 00:03:32,840 --> 00:03:36,280 Speaker 1: and of course it's like, yeah, this isn't done. We 64 00:03:36,360 --> 00:03:39,839 Speaker 1: need a lot more, a lot more. And basically what's 65 00:03:39,840 --> 00:03:44,200 Speaker 1: happened is I'm determined for this book. It's called Brown Ambition, 66 00:03:44,320 --> 00:03:47,640 Speaker 1: by the way, and I am determined for this book 67 00:03:47,760 --> 00:03:52,440 Speaker 1: to be more than a personal finance book, more than 68 00:03:53,120 --> 00:03:55,960 Speaker 1: you know, more than a career book. I mean all 69 00:03:56,000 --> 00:03:59,400 Speaker 1: that is in there. There's plenty of my favorite financial 70 00:03:59,440 --> 00:04:03,040 Speaker 1: practices and tips and my you know, biggest career strategies 71 00:04:03,120 --> 00:04:07,000 Speaker 1: for standing out in your career, surviving in this hellscape 72 00:04:07,120 --> 00:04:09,880 Speaker 1: of an economy that we're in right now. I know 73 00:04:09,920 --> 00:04:11,760 Speaker 1: we all need those strategies, you need those tips, you 74 00:04:11,760 --> 00:04:13,760 Speaker 1: need them in one place, and I'm going to deliver them. 75 00:04:14,320 --> 00:04:18,960 Speaker 1: But I also have such a wealth of like personal 76 00:04:19,000 --> 00:04:23,200 Speaker 1: experiences to share that sort of underline all of the 77 00:04:23,200 --> 00:04:25,440 Speaker 1: strategies and how I actually developed them and how I 78 00:04:25,480 --> 00:04:28,120 Speaker 1: know that they can work. And then obviously like client 79 00:04:28,240 --> 00:04:30,960 Speaker 1: stories from people that I've coached, women that I've coached 80 00:04:30,960 --> 00:04:34,960 Speaker 1: and worked with Mandy moneymakers, and trying to stitch those 81 00:04:35,000 --> 00:04:37,440 Speaker 1: two things together has been harder than I thought. So 82 00:04:38,360 --> 00:04:41,880 Speaker 1: I am in the process of right now. I've essentially 83 00:04:41,920 --> 00:04:44,320 Speaker 1: what I've done is I've written two books on accident. 84 00:04:44,440 --> 00:04:47,919 Speaker 1: One book is heavy on the story. One book is 85 00:04:47,960 --> 00:04:51,200 Speaker 1: heavy on the Here's what's happened in my career, my 86 00:04:51,320 --> 00:04:53,479 Speaker 1: finance is my life. And then here's what's happened in 87 00:04:53,520 --> 00:04:56,480 Speaker 1: my client's finances and careers and life. And the other 88 00:04:56,560 --> 00:04:59,400 Speaker 1: part is like, here's what you can do, you know, 89 00:04:59,520 --> 00:05:03,640 Speaker 1: based on on these experiences. And now I got to 90 00:05:03,680 --> 00:05:06,240 Speaker 1: stitch some babies together and I got to make it 91 00:05:06,279 --> 00:05:08,960 Speaker 1: all saying and read. I want it to be a 92 00:05:09,000 --> 00:05:13,080 Speaker 1: really good book. So I'm working hard. And obviously my 93 00:05:13,120 --> 00:05:18,320 Speaker 1: publisher they're expecting a lot, and I'm expecting a lot 94 00:05:18,320 --> 00:05:21,640 Speaker 1: of myself, I really am. So what does this all mean. 95 00:05:21,720 --> 00:05:24,520 Speaker 1: It means that I have officially gone back to my 96 00:05:24,680 --> 00:05:29,520 Speaker 1: four am wake up call, because I think if you're 97 00:05:29,800 --> 00:05:32,359 Speaker 1: if you're listening right now, and there's something big that 98 00:05:32,400 --> 00:05:34,800 Speaker 1: you've been wanting to get done, some big goal you've had, 99 00:05:34,839 --> 00:05:38,400 Speaker 1: some big, you know, extra thing that you've wanted to 100 00:05:38,400 --> 00:05:41,560 Speaker 1: put on your plate, whether it's starting a side hustle 101 00:05:41,839 --> 00:05:45,279 Speaker 1: or you know, a different project to pitch at work, 102 00:05:46,120 --> 00:05:48,800 Speaker 1: or just something personal that you've always wanted to do 103 00:05:48,880 --> 00:05:51,320 Speaker 1: that you just can't find the time to get done 104 00:05:51,400 --> 00:05:54,520 Speaker 1: during the nine to five hours, you know, and you're 105 00:05:54,600 --> 00:05:58,400 Speaker 1: just like me, too tired after by nine pm. I mean, 106 00:05:58,440 --> 00:06:02,160 Speaker 1: if I'm honest, by like four pm, your girl is done. 107 00:06:02,279 --> 00:06:06,920 Speaker 1: I have no more energy. My most valuable time, as 108 00:06:06,920 --> 00:06:09,840 Speaker 1: far as the energy and the brain power that I 109 00:06:09,880 --> 00:06:14,239 Speaker 1: have to deliver, it's hitting between four am and noon, 110 00:06:14,760 --> 00:06:19,200 Speaker 1: like that's my time to shine. And we're in a 111 00:06:19,200 --> 00:06:21,200 Speaker 1: little bit of a danger zone. Ba Fan, I'm recording 112 00:06:21,200 --> 00:06:25,039 Speaker 1: this at one pm, so the battery is starting to wane. Na, Na, 113 00:06:25,160 --> 00:06:27,440 Speaker 1: I always got a fresh battery pack for a brand ambition. 114 00:06:28,120 --> 00:06:30,040 Speaker 1: But do y'all relate to that? Do you have a 115 00:06:30,040 --> 00:06:32,480 Speaker 1: certain window of time during the day when you are 116 00:06:32,560 --> 00:06:36,279 Speaker 1: like firing on all cylinders. Some of y'all maybe night owls, 117 00:06:36,520 --> 00:06:39,000 Speaker 1: And before I had kids, maybe I was a bit 118 00:06:39,000 --> 00:06:41,520 Speaker 1: of a night owl. But I've become one of those 119 00:06:41,680 --> 00:06:46,000 Speaker 1: early birds because that's just when I've got the most energy. 120 00:06:46,080 --> 00:06:49,159 Speaker 1: It's when I have the most guaranteed quiet in my house. 121 00:06:49,760 --> 00:06:52,600 Speaker 1: And this book would not be happening. And I need 122 00:06:52,600 --> 00:06:55,520 Speaker 1: you to hear this. If you're a working mom, working 123 00:06:55,560 --> 00:06:57,880 Speaker 1: parent listening to this and you have goals of writing 124 00:06:57,920 --> 00:07:01,240 Speaker 1: a book someday, and you know, writing the book for me, 125 00:07:01,920 --> 00:07:04,400 Speaker 1: this book is not happening if I am not disciplined 126 00:07:04,520 --> 00:07:08,520 Speaker 1: enough to wake my ass up at four am, and 127 00:07:08,520 --> 00:07:10,440 Speaker 1: I'm not gonna lie. I don't do it every day. 128 00:07:10,600 --> 00:07:13,800 Speaker 1: I share as heck don't. And there's mornings like the 129 00:07:13,800 --> 00:07:16,320 Speaker 1: past couple of mornings where I've been like, four am 130 00:07:16,400 --> 00:07:19,560 Speaker 1: sounds really early for that alarm clock. Let's do four forty. 131 00:07:19,720 --> 00:07:23,840 Speaker 1: Four forty is almost five. It's basically it's four, but 132 00:07:23,960 --> 00:07:26,120 Speaker 1: it's like kind of five by the time I get upstairs, 133 00:07:26,280 --> 00:07:28,880 Speaker 1: get I get my tea, my coffee, whatever I need. 134 00:07:29,400 --> 00:07:34,320 Speaker 1: So I've been easing into it. And I'm thinking too 135 00:07:34,400 --> 00:07:38,120 Speaker 1: of my client, Tiffany. So Tiffany is now not that Tiffany. 136 00:07:38,240 --> 00:07:40,960 Speaker 1: This is a Mandy money maker Tiffany. She and I've 137 00:07:41,000 --> 00:07:45,040 Speaker 1: been working together through my VIP coaching like one on 138 00:07:45,040 --> 00:07:47,560 Speaker 1: one that I've been offering. By the way, go to 139 00:07:47,600 --> 00:07:49,600 Speaker 1: the show notes if you want to apply, because I 140 00:07:49,640 --> 00:07:53,360 Speaker 1: have some slots opening for October. But Tiffany's been just 141 00:07:53,520 --> 00:07:56,680 Speaker 1: a wonderful, wonderful person to work with. But she and 142 00:07:56,720 --> 00:08:01,280 Speaker 1: I both I believe she has been diagnosed with ADHD. 143 00:08:02,080 --> 00:08:07,560 Speaker 1: I am not officially an ADHD diagnos However, I can 144 00:08:07,600 --> 00:08:10,680 Speaker 1: relate to so many of the symptoms of you try 145 00:08:10,680 --> 00:08:12,880 Speaker 1: to focus on a task and that there's a and 146 00:08:12,880 --> 00:08:15,160 Speaker 1: then on the way to doing that task, you find 147 00:08:15,160 --> 00:08:18,760 Speaker 1: yourself doing a million other things. And all of a sudden, 148 00:08:18,800 --> 00:08:20,720 Speaker 1: it's like I'm holding a rubber chicken in one hand. 149 00:08:20,800 --> 00:08:23,040 Speaker 1: Half my head is deep conditioned. You know, i have 150 00:08:23,160 --> 00:08:26,280 Speaker 1: one shoe on my foot, and I'm trying to figure 151 00:08:26,280 --> 00:08:27,800 Speaker 1: out what it was that I was looking for in 152 00:08:27,840 --> 00:08:29,880 Speaker 1: the fridge. And then that thing that I was trying 153 00:08:29,920 --> 00:08:31,920 Speaker 1: to do, which is like get the towels out of 154 00:08:31,920 --> 00:08:36,160 Speaker 1: the washing machine, is like, oh wow, I haven't even 155 00:08:36,240 --> 00:08:39,720 Speaker 1: done that thing. And you know, I'm living that every day. 156 00:08:39,840 --> 00:08:42,320 Speaker 1: And so I was talking to Tiffany and I was like, 157 00:08:42,679 --> 00:08:45,640 Speaker 1: the only way that I have found to counteract that, 158 00:08:45,800 --> 00:08:48,040 Speaker 1: not the only way, but one of the ways is 159 00:08:48,120 --> 00:08:53,440 Speaker 1: to maximize my time and give my projects, my passions 160 00:08:53,480 --> 00:08:56,319 Speaker 1: whatever the most important thing is. And that can shift 161 00:08:56,400 --> 00:08:59,400 Speaker 1: day to day, but if it's the most important, high 162 00:08:59,520 --> 00:09:02,199 Speaker 1: value that I have to complete, it has to happen 163 00:09:02,240 --> 00:09:05,679 Speaker 1: between the hours of four am and twelve pm. It 164 00:09:05,840 --> 00:09:09,720 Speaker 1: can't be after that. So I'm not booking important business 165 00:09:09,720 --> 00:09:14,320 Speaker 1: meetings after twelve pm. I'm not trying to record even 166 00:09:14,360 --> 00:09:18,120 Speaker 1: the podcast some days after twelve pm, unless I know 167 00:09:18,240 --> 00:09:19,960 Speaker 1: I can just hand it on to my editor and 168 00:09:19,960 --> 00:09:21,920 Speaker 1: I don't have to do any deep thinking or editing 169 00:09:21,960 --> 00:09:25,600 Speaker 1: or planning. I can record the show afternoon, but I 170 00:09:25,679 --> 00:09:28,200 Speaker 1: have to do the planning for the show during that 171 00:09:28,400 --> 00:09:31,040 Speaker 1: real deep focused time between four to twelve. So ask 172 00:09:31,080 --> 00:09:33,760 Speaker 1: yourself that, Like, if you're in the middle of you 173 00:09:33,840 --> 00:09:35,760 Speaker 1: wanted to get a new job right now, and you 174 00:09:35,840 --> 00:09:38,480 Speaker 1: know it's like, and believe me, I know how difficult 175 00:09:38,720 --> 00:09:41,520 Speaker 1: we're going to talk about it, how difficult the economy is, 176 00:09:41,559 --> 00:09:43,800 Speaker 1: and how hard it is to find a new opportunity today. 177 00:09:43,840 --> 00:09:46,320 Speaker 1: It takes so much extra work on our part just 178 00:09:46,360 --> 00:09:49,000 Speaker 1: to get through that noise, to be submitting applications, to 179 00:09:49,000 --> 00:09:52,040 Speaker 1: be doing the networking, all the things. But if you're 180 00:09:52,080 --> 00:09:55,160 Speaker 1: someone like Tiffany was struggling, because you know, she was 181 00:09:55,200 --> 00:09:57,880 Speaker 1: telling me, by the time I get through my workday, 182 00:09:58,320 --> 00:10:00,760 Speaker 1: I'm crashing and I don't have energy for anything. And 183 00:10:00,800 --> 00:10:02,800 Speaker 1: it's like, and I tell myself, I'll do it, you know, 184 00:10:02,880 --> 00:10:05,040 Speaker 1: later on, but then it's not happening. And you've got 185 00:10:05,080 --> 00:10:06,800 Speaker 1: to be a person in the world. You got to 186 00:10:06,840 --> 00:10:10,600 Speaker 1: have interests in hobbies and family and friends. And I 187 00:10:10,640 --> 00:10:13,559 Speaker 1: was just like, well, stop giving your nine to five 188 00:10:13,960 --> 00:10:16,560 Speaker 1: the best hours of your life, the best hours of 189 00:10:16,600 --> 00:10:20,720 Speaker 1: your brain Pick the hour in your day, and in 190 00:10:20,760 --> 00:10:23,080 Speaker 1: her case, there was a specific hour when she's like, Okay, 191 00:10:23,080 --> 00:10:25,440 Speaker 1: it's going to be this time in the morning, and 192 00:10:25,840 --> 00:10:28,360 Speaker 1: decide that that's your time, Like put a block on 193 00:10:28,400 --> 00:10:33,280 Speaker 1: your calendar, put your phone on D and D and decide, 194 00:10:33,679 --> 00:10:38,120 Speaker 1: this is my power hour and it's my time. This 195 00:10:38,160 --> 00:10:40,520 Speaker 1: is what I'm going to use my best brain power 196 00:10:40,840 --> 00:10:45,800 Speaker 1: to put it into my projects, my goals, my ambitions, 197 00:10:45,920 --> 00:10:48,439 Speaker 1: my hopes, my dreams. How are we going to use 198 00:10:48,480 --> 00:10:51,520 Speaker 1: that time and give it to ourself? Your job is 199 00:10:51,559 --> 00:10:54,000 Speaker 1: going to be fine. And I know black women listening, 200 00:10:54,080 --> 00:10:58,560 Speaker 1: like women of color, like we are sixty percent is 201 00:10:58,600 --> 00:11:01,760 Speaker 1: some people's one hundred percent. So I'm not worried. I'm 202 00:11:01,800 --> 00:11:04,520 Speaker 1: not worried about your jobs. About you, you know, like 203 00:11:04,559 --> 00:11:07,120 Speaker 1: whoa you know so and so is falling behind, Like 204 00:11:07,160 --> 00:11:10,520 Speaker 1: what's going on? No, they're going to be just fine. 205 00:11:10,600 --> 00:11:12,640 Speaker 1: But we have to be a little bit selfish. We 206 00:11:12,720 --> 00:11:14,680 Speaker 1: have to be a little bit selfish and reserve some 207 00:11:14,760 --> 00:11:17,840 Speaker 1: of that, you know, some of our best power hour 208 00:11:18,160 --> 00:11:22,800 Speaker 1: for ourselves. Okay, so back to my crazy wall, I 209 00:11:22,800 --> 00:11:24,720 Speaker 1: have all these post it notes on here because I 210 00:11:24,720 --> 00:11:26,880 Speaker 1: am trying to organize this book and stitch them together 211 00:11:26,880 --> 00:11:30,760 Speaker 1: and make it make sense and put together a really 212 00:11:30,840 --> 00:11:33,760 Speaker 1: incredible book for y'all and hopefully a lot of people. 213 00:11:33,880 --> 00:11:38,960 Speaker 1: So the book process continues on. I hope to have 214 00:11:39,000 --> 00:11:41,319 Speaker 1: more details soon about like how you can become an 215 00:11:41,320 --> 00:11:44,880 Speaker 1: early reader, become part of the Brown Ambition Street team, 216 00:11:45,080 --> 00:11:48,600 Speaker 1: all that fun stuff. I'm not going to be able 217 00:11:48,640 --> 00:11:51,199 Speaker 1: to make this book a success, BA Fan without your help. 218 00:11:51,559 --> 00:11:55,080 Speaker 1: There's just no way I'm doing the writing. I'm creating 219 00:11:55,120 --> 00:11:58,800 Speaker 1: this thing, this baby of mine, by myself. I'm so 220 00:11:59,000 --> 00:12:01,760 Speaker 1: ready to have y'all heal me. I could cry from 221 00:12:01,880 --> 00:12:04,160 Speaker 1: relief at the idea that I no longer have to 222 00:12:04,160 --> 00:12:06,959 Speaker 1: be doing this part alone. It's just helping me get 223 00:12:06,960 --> 00:12:09,959 Speaker 1: this book baby into the world. So an the Angel's help, 224 00:12:10,040 --> 00:12:13,360 Speaker 1: spreading the word, you know, sharing the pre order link, 225 00:12:13,920 --> 00:12:18,240 Speaker 1: pre ordering copies, sharing it with your friends, your family, 226 00:12:18,320 --> 00:12:22,800 Speaker 1: your church groups, your you know, whatever, the pta, whoever 227 00:12:23,160 --> 00:12:25,680 Speaker 1: you know, and just helping me get the word out 228 00:12:25,679 --> 00:12:28,320 Speaker 1: and support the book in all those ways. And that 229 00:12:28,480 --> 00:12:31,360 Speaker 1: is coming. That is coming. I feel so much more 230 00:12:31,360 --> 00:12:34,520 Speaker 1: excited about that than even the call I had yesterday, 231 00:12:34,520 --> 00:12:37,000 Speaker 1: which was talking about the cover of the book, which 232 00:12:37,040 --> 00:12:39,960 Speaker 1: honestly felt like kart fully in front of the horse, 233 00:12:40,160 --> 00:12:42,240 Speaker 1: because that horse ain't got legs yet. The book is not. 234 00:12:42,480 --> 00:12:44,240 Speaker 1: I'm still working on the book. I'm like, the cover 235 00:12:44,320 --> 00:12:47,720 Speaker 1: of what, the cover of what? But we had to 236 00:12:47,720 --> 00:12:51,400 Speaker 1: have those conversations, so started talking about the cover yesterday 237 00:12:51,920 --> 00:12:54,199 Speaker 1: kind of started to feel I mean, if I'm honest, 238 00:12:54,240 --> 00:12:56,600 Speaker 1: I got a little stressed thinking about the cover because 239 00:12:56,640 --> 00:12:58,440 Speaker 1: again I'm just like, but wait, the book is not 240 00:12:58,480 --> 00:13:01,319 Speaker 1: where I want it to be yet. But the publishing 241 00:13:01,320 --> 00:13:05,240 Speaker 1: pipeline has other plans. So that conversation's underway, it all 242 00:13:05,280 --> 00:13:07,800 Speaker 1: goes according to plan. If your girl, I'm gonna be 243 00:13:07,880 --> 00:13:10,800 Speaker 1: a big girl and change my alarm to the straight 244 00:13:10,840 --> 00:13:13,480 Speaker 1: four am, maybe even three forty five am, so I 245 00:13:13,520 --> 00:13:16,920 Speaker 1: give myself time to get my coffee, you know, get 246 00:13:16,920 --> 00:13:19,680 Speaker 1: myself together and get into the office. But that four 247 00:13:19,679 --> 00:13:22,440 Speaker 1: to eight am it's got to happen if I'm going 248 00:13:22,480 --> 00:13:26,120 Speaker 1: to hit that October one deadline and make the book 249 00:13:26,120 --> 00:13:29,040 Speaker 1: as good as I want it to be. So yeah, 250 00:13:29,679 --> 00:13:33,600 Speaker 1: book butterflies in full effect. But I want to know 251 00:13:33,640 --> 00:13:36,199 Speaker 1: how y'all have been doing. I wish I could hear 252 00:13:36,240 --> 00:13:40,240 Speaker 1: you and talk to you. But y'all have been in 253 00:13:40,320 --> 00:13:43,199 Speaker 1: my comments and shout out to anyone who's also sent 254 00:13:43,360 --> 00:13:45,920 Speaker 1: me news that they think it will be interesting for 255 00:13:45,960 --> 00:13:49,320 Speaker 1: me to share during episodes of the podcast. I just 256 00:13:49,360 --> 00:13:52,400 Speaker 1: think that that's so sweet and I think that I 257 00:13:52,440 --> 00:13:54,560 Speaker 1: just love it. So if there's ever anything that y'all 258 00:13:54,600 --> 00:13:58,240 Speaker 1: see on IG on TikTok, you know, email, email it 259 00:13:58,240 --> 00:14:00,800 Speaker 1: to me, DM it to me, maybe I'll talk about 260 00:14:00,800 --> 00:14:02,480 Speaker 1: on the show. But just the fact that y'all are 261 00:14:02,480 --> 00:14:05,040 Speaker 1: that engaged and you want to share something that you 262 00:14:05,080 --> 00:14:08,360 Speaker 1: find interesting with me, I just love it, just the 263 00:14:08,400 --> 00:14:13,000 Speaker 1: way I love y'all. Hey, ba fam, we got to 264 00:14:13,040 --> 00:14:15,480 Speaker 1: take a quick break, pay some bills, and we'll be 265 00:14:15,600 --> 00:14:19,320 Speaker 1: right back. All right. So my phone was blowing off 266 00:14:19,360 --> 00:14:22,680 Speaker 1: the hook on Friday, and I want to talk about why. 267 00:14:22,920 --> 00:14:26,080 Speaker 1: A couple of things on Friday we had. This is 268 00:14:26,120 --> 00:14:29,080 Speaker 1: the first week of the month, and so we'll typically 269 00:14:29,120 --> 00:14:32,480 Speaker 1: see the jobs report come out for the previous month. 270 00:14:32,960 --> 00:14:34,640 Speaker 1: And before I get into the well, let me just 271 00:14:34,680 --> 00:14:38,080 Speaker 1: go ahead and say it. It was bleak. It was bleak, 272 00:14:38,160 --> 00:14:41,520 Speaker 1: ba fam. The job market is, like I said, a 273 00:14:41,560 --> 00:14:45,600 Speaker 1: complete and utter cluster. It is a hellscape it's bad. 274 00:14:46,000 --> 00:14:49,160 Speaker 1: And I think the most chilling part of the job 275 00:14:49,200 --> 00:14:53,360 Speaker 1: report for me at least, is how drastically it has 276 00:14:53,560 --> 00:14:58,840 Speaker 1: misrepresented what's been happening in the job market for months, 277 00:14:58,880 --> 00:15:03,160 Speaker 1: for over a year. Now tell me why. In school, right, like, 278 00:15:03,440 --> 00:15:06,800 Speaker 1: we submit an exam and the grade that we get 279 00:15:06,840 --> 00:15:08,440 Speaker 1: is the grade that we get the work we turn in. 280 00:15:08,480 --> 00:15:10,840 Speaker 1: That's it right, and people are very rigorous about that. 281 00:15:10,920 --> 00:15:14,320 Speaker 1: But somehow you can be a whole agency who's tasked 282 00:15:14,320 --> 00:15:17,640 Speaker 1: with putting out jobs data and you're just allowed to 283 00:15:17,840 --> 00:15:20,920 Speaker 1: get it wrong month after month, and then you have 284 00:15:21,000 --> 00:15:24,320 Speaker 1: to issue these giant corrections and we're just supposed to 285 00:15:24,360 --> 00:15:28,880 Speaker 1: be like, oh, well, woops. So what's happened is the 286 00:15:29,160 --> 00:15:32,880 Speaker 1: Labor Department In addition to issuing a job's report which 287 00:15:32,920 --> 00:15:37,160 Speaker 1: shows a dire situation, only twenty two thousand jobs were 288 00:15:37,200 --> 00:15:40,840 Speaker 1: added last month. Unemployment rate is up to four point 289 00:15:40,920 --> 00:15:44,080 Speaker 1: three percent, which I honestly want to skip over the 290 00:15:44,120 --> 00:15:46,520 Speaker 1: four point three and just get right to how it's 291 00:15:46,560 --> 00:15:49,840 Speaker 1: affecting us, because we know, for damn sure people of 292 00:15:49,880 --> 00:15:53,840 Speaker 1: color are seeing much higher unemployment rates than that, and 293 00:15:53,920 --> 00:15:57,600 Speaker 1: sure enough, black women unemployment rate is at seven point 294 00:15:57,680 --> 00:16:01,760 Speaker 1: five percent. That is of course up from past months. 295 00:16:02,040 --> 00:16:06,000 Speaker 1: It's the highest it's been since before COVID, So things 296 00:16:06,040 --> 00:16:08,400 Speaker 1: are not great. But on top of that, the Labor 297 00:16:08,440 --> 00:16:12,800 Speaker 1: Department said, oopsie, we are making a huge revision. The 298 00:16:13,000 --> 00:16:18,040 Speaker 1: US economy actually added nine hundred and eleven thousand, almost 299 00:16:18,040 --> 00:16:22,240 Speaker 1: a million fewer jobs over the past year than we estimated, 300 00:16:23,680 --> 00:16:28,000 Speaker 1: over nine hundred thousand jobs that we thought had been 301 00:16:28,080 --> 00:16:32,280 Speaker 1: created and in fact had been being issued in reports. 302 00:16:32,400 --> 00:16:35,720 Speaker 1: You know, this report comes out every month and it 303 00:16:36,120 --> 00:16:39,600 Speaker 1: can move markets. The Laborer Report is one of those 304 00:16:39,960 --> 00:16:43,560 Speaker 1: economic bellwethers that people pay attention to, Voters pay attention 305 00:16:43,600 --> 00:16:48,640 Speaker 1: to politicians, you know, lawmakers, business owners were all looking 306 00:16:48,680 --> 00:16:51,920 Speaker 1: to see, okay in terms of the economy and how 307 00:16:51,960 --> 00:16:54,760 Speaker 1: we're doing, how are we hiring, and the fact that 308 00:16:54,800 --> 00:16:59,000 Speaker 1: there are nearly a million fewer jobs were actually created 309 00:16:59,040 --> 00:17:01,440 Speaker 1: than we had been led to. It's just like, what 310 00:17:01,560 --> 00:17:04,920 Speaker 1: are we doing here? All these businesses are making decisions 311 00:17:04,920 --> 00:17:07,199 Speaker 1: based on these economic data points, and they're just like 312 00:17:07,359 --> 00:17:10,760 Speaker 1: what what? And then I'm thinking, you know, when's the 313 00:17:10,840 --> 00:17:13,440 Speaker 1: last time anyone even explained to me how is this 314 00:17:13,560 --> 00:17:17,760 Speaker 1: report calculated? Like where is this number even coming from? 315 00:17:18,240 --> 00:17:21,439 Speaker 1: And I didn't realize quite how manual. The process is, 316 00:17:22,000 --> 00:17:25,399 Speaker 1: this is a survey. This is a survey where the 317 00:17:25,440 --> 00:17:28,920 Speaker 1: Department of Labor they have these regional offices, and these 318 00:17:28,960 --> 00:17:32,800 Speaker 1: regional offices literally call up business owners on the phone. 319 00:17:33,160 --> 00:17:36,560 Speaker 1: There's obviously an electronic portal where you can, you know, 320 00:17:36,680 --> 00:17:40,359 Speaker 1: submit voluntarily submit your numbers. But they call about one 321 00:17:40,440 --> 00:17:44,800 Speaker 1: hundred and twenty thousand businesses and government agencies that represent 322 00:17:45,160 --> 00:17:48,040 Speaker 1: six hundred and thirty one work sites across the US, 323 00:17:48,520 --> 00:17:51,480 Speaker 1: and they ask them how many jobs did you add? 324 00:17:51,800 --> 00:17:55,320 Speaker 1: You know, how many have you lost? They gather that data, 325 00:17:56,320 --> 00:17:59,200 Speaker 1: like I'm saying, like manually, then they have to add 326 00:17:59,240 --> 00:18:02,160 Speaker 1: it up and all the businesses, like it doesn't line 327 00:18:02,200 --> 00:18:05,440 Speaker 1: up between when the data is going to come out 328 00:18:05,480 --> 00:18:08,920 Speaker 1: in the news to when all the businesses have the data. 329 00:18:09,000 --> 00:18:12,040 Speaker 1: Do like, some of the businesses may not be able 330 00:18:12,080 --> 00:18:13,879 Speaker 1: to get their data in on time. They may not 331 00:18:13,960 --> 00:18:16,560 Speaker 1: have it, they may not respond to that survey. It's 332 00:18:16,600 --> 00:18:19,640 Speaker 1: still a really good you know, it's a survey. It's 333 00:18:19,680 --> 00:18:24,400 Speaker 1: like any other survey. It's a national sample. And I 334 00:18:24,480 --> 00:18:26,760 Speaker 1: was sort of thinking that there was some well oiled 335 00:18:27,240 --> 00:18:29,760 Speaker 1: I should have known better because federal government is so 336 00:18:29,880 --> 00:18:32,960 Speaker 1: slow and clunky, but I had just imagined that there 337 00:18:33,080 --> 00:18:38,120 Speaker 1: was some you know, there was some magical electronics system 338 00:18:38,359 --> 00:18:42,160 Speaker 1: that was tracking maybe the irs for example, like tracking 339 00:18:42,720 --> 00:18:47,400 Speaker 1: new payroll editions and you know, or people who've switched jobs. Somehow, 340 00:18:47,440 --> 00:18:50,000 Speaker 1: I thought it was like more automated than that. But 341 00:18:50,000 --> 00:18:52,639 Speaker 1: it's very manual. So the fact that there is so 342 00:18:52,760 --> 00:18:55,560 Speaker 1: much room, it's hard to even say it's an error. 343 00:18:55,840 --> 00:18:59,120 Speaker 1: It's a miscalculation based on lack of data. So as 344 00:18:59,200 --> 00:19:02,680 Speaker 1: more businesses start to report and start to answer that survey, 345 00:19:03,240 --> 00:19:06,280 Speaker 1: like maybe the number of jobs that were added go up, 346 00:19:06,760 --> 00:19:10,240 Speaker 1: maybe they go down. But the report comes out once 347 00:19:10,280 --> 00:19:13,040 Speaker 1: a month, and it's kind of it's on a routine, 348 00:19:13,080 --> 00:19:15,920 Speaker 1: it's on a clock. It's a snapshot of what's going 349 00:19:15,960 --> 00:19:19,000 Speaker 1: on in time. But that's why the next month and 350 00:19:19,040 --> 00:19:21,879 Speaker 1: the month after and a year later, they're constantly like 351 00:19:21,960 --> 00:19:25,119 Speaker 1: revising their own data to help give us a better picture. 352 00:19:25,160 --> 00:19:26,720 Speaker 1: And this may be way too much in the weeds, 353 00:19:26,720 --> 00:19:28,320 Speaker 1: and it may not even matter, but I just thought 354 00:19:28,359 --> 00:19:31,520 Speaker 1: it was interesting to kind of better understand where this 355 00:19:31,640 --> 00:19:35,520 Speaker 1: number is even coming from. The long and short of it, though, 356 00:19:35,800 --> 00:19:40,600 Speaker 1: is that it is really tough out there. On top 357 00:19:40,680 --> 00:19:43,960 Speaker 1: of that, y'all may have seen this data going around 358 00:19:44,480 --> 00:19:48,760 Speaker 1: that three hundred thousand black women have been ousted from 359 00:19:48,880 --> 00:19:52,560 Speaker 1: jobs from February to July. So in the first half 360 00:19:52,560 --> 00:19:56,399 Speaker 1: of the year, we've lost three hundred thousand Black women 361 00:19:56,600 --> 00:20:00,720 Speaker 1: wiped from the workforce. And the source of this data 362 00:20:00,880 --> 00:20:04,840 Speaker 1: is actually a gender economist. Her name is Kadikoi and 363 00:20:05,000 --> 00:20:08,560 Speaker 1: I love you know. I had Anna gifty Opoku Ajima 364 00:20:08,560 --> 00:20:10,560 Speaker 1: on the show last week. She just wrote the book 365 00:20:10,600 --> 00:20:13,560 Speaker 1: Double Tax, The Double Tax, and of course a lot 366 00:20:13,560 --> 00:20:17,040 Speaker 1: of great data is included in that book. And I 367 00:20:17,080 --> 00:20:19,560 Speaker 1: love it when the data nerds get their shine. So 368 00:20:19,680 --> 00:20:24,080 Speaker 1: I'm loving that Katecharoi. She's been cited as the economist 369 00:20:24,280 --> 00:20:27,919 Speaker 1: behind this data, and she's actually taken the time to 370 00:20:28,119 --> 00:20:32,280 Speaker 1: use publicly available data and been curious enough about how 371 00:20:32,359 --> 00:20:35,479 Speaker 1: black women are doing in the midst of this, you know, 372 00:20:36,160 --> 00:20:40,119 Speaker 1: terrible economy to actually dive deep and find out. So 373 00:20:40,800 --> 00:20:42,320 Speaker 1: her data has been on the front page of the 374 00:20:42,320 --> 00:20:45,800 Speaker 1: New York Times, It's been covered in Forbes, MSNBC, all 375 00:20:45,840 --> 00:20:49,160 Speaker 1: these major platforms. But just digging into what she found, 376 00:20:49,520 --> 00:20:53,200 Speaker 1: she analyzed labor data and found that black women lost 377 00:20:53,240 --> 00:20:56,359 Speaker 1: three hundred and nineteen thousand jobs both in the public 378 00:20:56,400 --> 00:21:00,439 Speaker 1: and private sectors. Between February and July this year. And 379 00:21:00,480 --> 00:21:03,879 Speaker 1: this is the uh the gun punch. The only major 380 00:21:04,040 --> 00:21:08,560 Speaker 1: female demographic to experience this much job loss during that 381 00:21:08,600 --> 00:21:11,520 Speaker 1: five month period. We're black women. So while we lost 382 00:21:11,640 --> 00:21:15,160 Speaker 1: three hundred and nineteen thousand jobs, white women saw their 383 00:21:15,280 --> 00:21:18,159 Speaker 1: jobs go up, saw an increase in jobs of one 384 00:21:18,200 --> 00:21:21,639 Speaker 1: hundred and forty two thousand. Hispanic women saw an increase 385 00:21:21,680 --> 00:21:24,359 Speaker 1: of one hundred and seventy six thousand jobs over the 386 00:21:24,400 --> 00:21:28,119 Speaker 1: same time period. But no one has reigned supreme like 387 00:21:28,160 --> 00:21:31,520 Speaker 1: a white man, because white men saw the largest increase 388 00:21:31,800 --> 00:21:35,679 Speaker 1: among all racial engender groups, adding three hundred and sixty 389 00:21:35,720 --> 00:21:39,199 Speaker 1: five thousand jobs over the same time period. And now 390 00:21:39,280 --> 00:21:44,720 Speaker 1: we've arrived at the oh. That's why. That's why, despite 391 00:21:44,840 --> 00:21:48,560 Speaker 1: the stories I'm hearing from and Andy moneymakers, from brown 392 00:21:48,600 --> 00:21:53,480 Speaker 1: ambition listeners, obviously, my audience is ninety six percent women 393 00:21:53,520 --> 00:21:56,520 Speaker 1: of color. Of that number, eighty percent are Black women, 394 00:21:57,080 --> 00:22:00,480 Speaker 1: about fifteen percent or Hispanic women. And y'all have been 395 00:22:00,520 --> 00:22:03,560 Speaker 1: telling me way before this data came out that it 396 00:22:03,640 --> 00:22:05,919 Speaker 1: is so hard to find work out here, that we 397 00:22:05,960 --> 00:22:08,000 Speaker 1: are losing our jobs, that we're not getting work. I 398 00:22:08,040 --> 00:22:12,320 Speaker 1: know y'all have been struggling far longer than other groups. 399 00:22:12,359 --> 00:22:15,640 Speaker 1: And now we're kind of seeing why. It's just now 400 00:22:15,680 --> 00:22:19,600 Speaker 1: that we're starting to like the media and you know, 401 00:22:20,119 --> 00:22:23,359 Speaker 1: the culture is starting to understand, oh, this is a 402 00:22:23,400 --> 00:22:26,480 Speaker 1: tough economy. It's because even like we were the first 403 00:22:26,520 --> 00:22:30,280 Speaker 1: group to start feeling the pinch of a tightening economy, 404 00:22:30,320 --> 00:22:32,919 Speaker 1: where the first group, you know, that's going to be 405 00:22:33,400 --> 00:22:35,960 Speaker 1: where bias is going to work against us in job 406 00:22:36,000 --> 00:22:39,960 Speaker 1: interviews and in hiring. So of course we start disappearing 407 00:22:40,000 --> 00:22:43,680 Speaker 1: from the workforce. I think Katika herself calls us like 408 00:22:43,720 --> 00:22:47,720 Speaker 1: the Canarian the coal mine, which is such a dark 409 00:22:47,760 --> 00:22:52,879 Speaker 1: metaphor but also effective. And then you hear, you know, 410 00:22:52,920 --> 00:22:56,480 Speaker 1: while I'm experiencing what I'm experiencing from hearing y'all stories, 411 00:22:56,520 --> 00:22:58,879 Speaker 1: and then you read the media headlines, and you know, 412 00:22:58,920 --> 00:23:01,280 Speaker 1: you listen to politicians talk about things, and it's like, oh, 413 00:23:01,320 --> 00:23:04,879 Speaker 1: but things are fine. Largely, the economy is strong. Largely, 414 00:23:04,920 --> 00:23:08,440 Speaker 1: the labor force is great, you know, compared, But what's 415 00:23:08,560 --> 00:23:12,360 Speaker 1: happening is like black women as a microcosm, like as 416 00:23:12,400 --> 00:23:16,240 Speaker 1: a segment of the workforce, like we are struggling. And 417 00:23:16,560 --> 00:23:18,520 Speaker 1: Katako was the first one to give a damn. And 418 00:23:18,560 --> 00:23:20,800 Speaker 1: I'm so glad that she did to give a damn 419 00:23:20,800 --> 00:23:23,199 Speaker 1: in this way and to draw attention to it. And 420 00:23:23,240 --> 00:23:25,879 Speaker 1: I you know, I think also she's had a lot 421 00:23:25,880 --> 00:23:28,399 Speaker 1: of support from other black women in media who are like, no, 422 00:23:28,440 --> 00:23:30,440 Speaker 1: we need to make we need to make people pay 423 00:23:30,480 --> 00:23:34,199 Speaker 1: attention to data like this, make them care because this 424 00:23:34,359 --> 00:23:38,640 Speaker 1: should scare everybody, you know, because what's coming for us. 425 00:23:38,680 --> 00:23:41,040 Speaker 1: We'll eventually get to them, so we'll see we're the 426 00:23:41,080 --> 00:23:44,199 Speaker 1: first to suffer, but we'll see what numbers look like 427 00:23:44,520 --> 00:23:48,960 Speaker 1: for these other groups in the future. But yeah, I 428 00:23:48,960 --> 00:23:50,720 Speaker 1: want to shout out to Catechor Roy. I'm hoping to 429 00:23:50,720 --> 00:23:53,840 Speaker 1: have her on the show sometime soon to talk about 430 00:23:53,840 --> 00:23:56,560 Speaker 1: her work as a gender economist and see what other signs, 431 00:23:57,040 --> 00:23:59,359 Speaker 1: you know, in the economy, what could be voting for 432 00:24:00,080 --> 00:24:03,919 Speaker 1: black women in this economy? Are there any signs of 433 00:24:03,920 --> 00:24:07,320 Speaker 1: hope out there? Okay, So speaking of hope, let's talk 434 00:24:07,359 --> 00:24:10,400 Speaker 1: about some sectors of the economy where they're actually are jobs. Okay, 435 00:24:10,480 --> 00:24:13,880 Speaker 1: So if you're there right now, you're unemployed, or you're 436 00:24:13,920 --> 00:24:15,760 Speaker 1: recently let go, or you're wanting to leave your job, 437 00:24:15,800 --> 00:24:18,359 Speaker 1: you're looking to switch career paths. Okay, what sectors are 438 00:24:18,400 --> 00:24:23,760 Speaker 1: actually hiring healthcare, baby healthcare, and social assistance. So this 439 00:24:23,880 --> 00:24:26,359 Speaker 1: sector has the highest number of job openings right now, 440 00:24:26,400 --> 00:24:29,680 Speaker 1: with over a million job openings, so there's an increased 441 00:24:29,680 --> 00:24:34,120 Speaker 1: demand for medical professionals, social workers, and support staff. Shout 442 00:24:34,119 --> 00:24:36,240 Speaker 1: out to my cousin who's been on the show before. 443 00:24:36,280 --> 00:24:38,160 Speaker 1: You'll know her a little bit of her career journey. 444 00:24:38,200 --> 00:24:40,520 Speaker 1: She actually just got a great job working for a 445 00:24:40,560 --> 00:24:44,080 Speaker 1: major hospital where we live here in Westchester outside of 446 00:24:44,119 --> 00:24:46,840 Speaker 1: New York City, And yeah, I was really proud of 447 00:24:46,880 --> 00:24:49,359 Speaker 1: her and excited, and I was like, yep, that makes sense. 448 00:24:49,440 --> 00:24:51,639 Speaker 1: She's been interviewing for a while, and of course, like 449 00:24:51,680 --> 00:24:54,080 Speaker 1: a healthcare job is the one that ended up working 450 00:24:54,119 --> 00:24:57,840 Speaker 1: out in the end. We also have professional and business 451 00:24:57,840 --> 00:25:01,159 Speaker 1: services with over one point three million openings and jobs, 452 00:25:01,160 --> 00:25:06,320 Speaker 1: and management, consulting, tech and operational support. So even though, 453 00:25:06,400 --> 00:25:09,440 Speaker 1: of course, you know we've seen finance and tech have layoffs, 454 00:25:09,480 --> 00:25:14,000 Speaker 1: there's still opportunities in those spaces. Leisure and hospitality has 455 00:25:14,040 --> 00:25:18,760 Speaker 1: a million openings in career paths like food services and accommodations. 456 00:25:19,359 --> 00:25:22,840 Speaker 1: Travel and dining are apparently rebounding. I don't know how 457 00:25:22,880 --> 00:25:25,200 Speaker 1: because like with what money are people traveling and dining? 458 00:25:25,240 --> 00:25:30,320 Speaker 1: But sure but also trade, transportation and warehousing. More than 459 00:25:30,320 --> 00:25:34,359 Speaker 1: a million roles available, boosted by the growth in e commerce, 460 00:25:34,440 --> 00:25:38,800 Speaker 1: retail and logistics, and then information tech so it there's 461 00:25:38,840 --> 00:25:43,440 Speaker 1: about two hundred thousand openings, so that includes software development, 462 00:25:43,520 --> 00:25:47,840 Speaker 1: IT support, data roles also among the fastest growing sectors. 463 00:25:48,160 --> 00:25:50,880 Speaker 1: I wonder where cybersecurity kind of fits into that. Maybe 464 00:25:50,880 --> 00:25:54,320 Speaker 1: it's all under the umbrella of it, but that's where 465 00:25:54,400 --> 00:25:56,800 Speaker 1: some of the hope is. So if you're listening to 466 00:25:56,840 --> 00:25:59,480 Speaker 1: this and you're trying to strategize for your next career move, 467 00:25:59,640 --> 00:26:02,280 Speaker 1: I maybe that started to help you, you know, think 468 00:26:02,280 --> 00:26:05,040 Speaker 1: of some ideas on where to go next. I do 469 00:26:05,160 --> 00:26:08,000 Speaker 1: feel like and I'm having a hard time maybe articulating this, 470 00:26:08,119 --> 00:26:10,320 Speaker 1: but I have been thinking as I'm talking to women. 471 00:26:10,680 --> 00:26:12,639 Speaker 1: This has come up ever since i started to coach. 472 00:26:12,680 --> 00:26:14,520 Speaker 1: You know, you'll you'll talk to women who are like, 473 00:26:15,160 --> 00:26:18,359 Speaker 1: I really want to become a project manager because that 474 00:26:18,440 --> 00:26:20,720 Speaker 1: seems to be the trending thing. And now I'm hearing 475 00:26:20,720 --> 00:26:22,720 Speaker 1: a lot of cybersecurity because that seems to be the 476 00:26:22,760 --> 00:26:26,760 Speaker 1: trending thing. But I'm one question to ask yourself is like, 477 00:26:27,440 --> 00:26:31,479 Speaker 1: do you actually want to do that? And it's not 478 00:26:31,600 --> 00:26:34,960 Speaker 1: because you can't, Like I do believe obviously, like you 479 00:26:35,000 --> 00:26:36,879 Speaker 1: can learn the skill, you can do the job, and 480 00:26:37,800 --> 00:26:40,600 Speaker 1: we're and of course you should go after an industry. 481 00:26:40,640 --> 00:26:42,640 Speaker 1: It makes sense right to go after an industry that's 482 00:26:42,680 --> 00:26:46,159 Speaker 1: actually growing and all of that. But I wonder too, like, 483 00:26:46,800 --> 00:26:49,560 Speaker 1: because it's so competitive right now, if there's not a 484 00:26:49,640 --> 00:26:55,919 Speaker 1: real interest and experience and passion for the work, and 485 00:26:56,000 --> 00:26:58,440 Speaker 1: if you can't get really motivated about it other than 486 00:26:58,560 --> 00:27:00,520 Speaker 1: just I need a job, I need to like pay 487 00:27:00,560 --> 00:27:03,240 Speaker 1: the bills. I just feel like there's as it can 488 00:27:03,280 --> 00:27:06,560 Speaker 1: be really challenging to break into that space. So I 489 00:27:06,600 --> 00:27:10,159 Speaker 1: wouldn't force yourself into a career path just because you 490 00:27:10,200 --> 00:27:14,879 Speaker 1: think it's, you know, what the economy is favoring right now. 491 00:27:14,960 --> 00:27:17,840 Speaker 1: Just because there's not maybe the most jobs and maybe 492 00:27:17,880 --> 00:27:20,000 Speaker 1: the career path that you've chosen doesn't mean that it's 493 00:27:20,040 --> 00:27:23,080 Speaker 1: still not a viable one. And I just don't want 494 00:27:23,119 --> 00:27:25,879 Speaker 1: us to be chasing these like trends so much. I 495 00:27:25,920 --> 00:27:28,359 Speaker 1: think it's better to like take a step back. And 496 00:27:28,440 --> 00:27:30,520 Speaker 1: I'm working on this in the book as well, just 497 00:27:30,560 --> 00:27:32,119 Speaker 1: trying to like because it's hard to say it in 498 00:27:32,160 --> 00:27:35,040 Speaker 1: just a couple of minutes on a podcast, but trying 499 00:27:35,040 --> 00:27:36,639 Speaker 1: to take a step back and just look at the 500 00:27:36,680 --> 00:27:40,119 Speaker 1: full career trajectory so that you're more in control of 501 00:27:40,160 --> 00:27:43,040 Speaker 1: your career path and you're not like constantly feeling yourself 502 00:27:43,080 --> 00:27:45,640 Speaker 1: go jerked in this side and that side by what's 503 00:27:45,640 --> 00:27:48,600 Speaker 1: happening in the economy. The only thing that's certain about 504 00:27:48,640 --> 00:27:50,560 Speaker 1: the economy is that it's going to have its ups 505 00:27:50,560 --> 00:27:52,840 Speaker 1: and downs. I don't like the idea of us being 506 00:27:52,920 --> 00:27:56,359 Speaker 1: punted from one side to the next in the economy. 507 00:27:56,400 --> 00:27:59,080 Speaker 1: I want us to build some career stability for ourselves, 508 00:27:59,119 --> 00:28:02,240 Speaker 1: and I think that comes from really owning the overall 509 00:28:02,280 --> 00:28:05,680 Speaker 1: career path and owning, you know, this is what I'm 510 00:28:05,760 --> 00:28:08,439 Speaker 1: you know, specializing, this is what I'm great at, and 511 00:28:08,520 --> 00:28:12,919 Speaker 1: here's how I can stay rooted in my own skill set, 512 00:28:13,000 --> 00:28:15,640 Speaker 1: you know, in my own interests and what I bring 513 00:28:15,680 --> 00:28:19,439 Speaker 1: to the table, and adapt, of course, you know, adapt 514 00:28:19,520 --> 00:28:21,880 Speaker 1: to the changing economy, but not feeling like we need 515 00:28:21,920 --> 00:28:25,639 Speaker 1: to have a complete career, you know, one eighty and 516 00:28:25,800 --> 00:28:29,280 Speaker 1: up end everything every few years when there's another one 517 00:28:29,280 --> 00:28:32,919 Speaker 1: of these like economic you know, upturns, downturns, whatever it 518 00:28:32,960 --> 00:28:35,719 Speaker 1: may be. So I'm working on that. But if that 519 00:28:35,800 --> 00:28:38,320 Speaker 1: resonates with you or you're even if that pissed you 520 00:28:38,360 --> 00:28:40,040 Speaker 1: off what I just said. I want to hear from 521 00:28:40,120 --> 00:28:41,760 Speaker 1: y'all because I want to hear what you're thinking and 522 00:28:42,160 --> 00:28:45,200 Speaker 1: understand sort of like what the approach is. And if 523 00:28:45,200 --> 00:28:50,200 Speaker 1: you're someone who has successfully pivoted into an IT role, 524 00:28:50,320 --> 00:28:56,000 Speaker 1: into a healthcare role, into cybersecurity, I also would love 525 00:28:56,040 --> 00:28:58,120 Speaker 1: to hear from y'all. Would you email me or DM me. 526 00:28:58,160 --> 00:29:00,800 Speaker 1: You can DM me at Mandy Money, you can DM 527 00:29:00,800 --> 00:29:03,400 Speaker 1: me at Brand Ambission Podcast. You can email me at 528 00:29:03,400 --> 00:29:07,800 Speaker 1: Brandambis podcast at gmail dot com. Like, please talk to me. 529 00:29:08,080 --> 00:29:09,440 Speaker 1: I want to know. I want to know how you 530 00:29:09,480 --> 00:29:12,760 Speaker 1: did it. I want to know what was successful about it, 531 00:29:12,800 --> 00:29:15,000 Speaker 1: and I'm just really, really curious. So I'd love to 532 00:29:15,040 --> 00:29:16,640 Speaker 1: hear from y'all. It can be anonymous. I'm not going 533 00:29:16,680 --> 00:29:19,040 Speaker 1: to talk about you on the show, but I just 534 00:29:19,040 --> 00:29:22,040 Speaker 1: would love to hear those stories. And this is a 535 00:29:22,080 --> 00:29:25,240 Speaker 1: really good time for me to tell y'all. Mark your calendars. 536 00:29:25,280 --> 00:29:29,080 Speaker 1: September twenty fifth, at eight pm Eastern. I have not 537 00:29:29,200 --> 00:29:32,440 Speaker 1: done a webinar in a very long time. As you know, 538 00:29:32,560 --> 00:29:36,320 Speaker 1: my signature, Nail your Negotiation Webinar was the webinar I 539 00:29:36,320 --> 00:29:38,160 Speaker 1: did all the time for the past couple of years, 540 00:29:38,680 --> 00:29:41,480 Speaker 1: I wanted to create a webinar that felt urgent and 541 00:29:41,640 --> 00:29:44,880 Speaker 1: necessary for today's economy, and so I have come up 542 00:29:44,920 --> 00:29:48,120 Speaker 1: with and again thanks to Mandy Moneymaker Tiffany for the 543 00:29:48,160 --> 00:29:51,239 Speaker 1: little nudge in the right direction, I have come up 544 00:29:51,280 --> 00:29:53,800 Speaker 1: with a workshop, and we're going to talk about how 545 00:29:53,840 --> 00:29:56,840 Speaker 1: to leverage AI. That's right. I am not making AI 546 00:29:56,920 --> 00:29:58,840 Speaker 1: the enemy. AI as our friend. We're going to learn 547 00:29:58,880 --> 00:30:02,200 Speaker 1: how to harness it. I'm doing a free virtual workshop 548 00:30:02,600 --> 00:30:05,680 Speaker 1: September twenty fifth at eight pm on how to use 549 00:30:05,800 --> 00:30:09,560 Speaker 1: AI to boost your career strategy. So save the date, 550 00:30:09,600 --> 00:30:13,000 Speaker 1: September twenty fifth, eight pm Eastern Central. There's a sign 551 00:30:13,120 --> 00:30:17,320 Speaker 1: up RSVP link spots are limited. Sign up is in 552 00:30:17,360 --> 00:30:19,480 Speaker 1: the show notes right now, so you can go check 553 00:30:19,480 --> 00:30:22,440 Speaker 1: that out. I hope to see y'all there. I'm not 554 00:30:22,520 --> 00:30:24,400 Speaker 1: just going to be talking about how to put your 555 00:30:24,440 --> 00:30:27,440 Speaker 1: resume into chat GPD and get advice on bullet points. 556 00:30:27,520 --> 00:30:29,640 Speaker 1: Y'all know I am not the resume girl. I don't 557 00:30:29,680 --> 00:30:31,920 Speaker 1: spend a lot of time there. I'm talking about how 558 00:30:31,960 --> 00:30:36,120 Speaker 1: to use AI to develop a winning career strategy, how 559 00:30:36,120 --> 00:30:38,720 Speaker 1: to use it to take the pain out of networking, 560 00:30:38,840 --> 00:30:40,640 Speaker 1: how to use it to take the pain out of 561 00:30:40,680 --> 00:30:43,840 Speaker 1: searching for new opportunities. So we're going to cover all 562 00:30:43,880 --> 00:30:46,040 Speaker 1: the tips and tricks and strategies that I have been 563 00:30:46,480 --> 00:30:49,280 Speaker 1: working on and seeing in the clients that I'm working with, 564 00:30:49,520 --> 00:30:52,160 Speaker 1: and hopefully what you walk away from this webinar feeling 565 00:30:52,680 --> 00:30:55,760 Speaker 1: is empowered to do what I said, to take control 566 00:30:55,800 --> 00:30:59,880 Speaker 1: of your overall career strategy, and certainly to demystify AI. 567 00:31:00,520 --> 00:31:04,480 Speaker 1: Because listen, I'm sure maybe if you've dabbled with chat Gypt, 568 00:31:04,720 --> 00:31:08,520 Speaker 1: you've dabbled with perplexity, the claud like these different tools, 569 00:31:08,560 --> 00:31:11,480 Speaker 1: but there's so many of them now and you may 570 00:31:11,520 --> 00:31:15,240 Speaker 1: even feel like, well, what if this AI takes my 571 00:31:15,360 --> 00:31:18,680 Speaker 1: job someday? Well, let's actually look AI in the face. 572 00:31:19,080 --> 00:31:22,080 Speaker 1: Let's I'm going to make it very very easy for 573 00:31:22,160 --> 00:31:25,640 Speaker 1: beginners to understand how to use the tools, and you 574 00:31:25,680 --> 00:31:29,080 Speaker 1: can actually like, have some help getting used to it, 575 00:31:29,200 --> 00:31:31,520 Speaker 1: have some you know, someone to guide you so that 576 00:31:31,560 --> 00:31:34,360 Speaker 1: maybe it's not as intimidating. And I want you to 577 00:31:34,400 --> 00:31:36,760 Speaker 1: feel empowered. I want you to be more productive. I 578 00:31:36,800 --> 00:31:39,520 Speaker 1: want you to save time because you understand how to 579 00:31:39,600 --> 00:31:41,840 Speaker 1: use AI to your benefit, and at the same time, 580 00:31:41,960 --> 00:31:45,320 Speaker 1: because you're learning these AI skills softwarees tools. You're learning 581 00:31:45,320 --> 00:31:47,960 Speaker 1: how to how to leverage these. It's going to make 582 00:31:48,000 --> 00:31:50,560 Speaker 1: you a more attractive candidate for the job that you want. 583 00:31:50,720 --> 00:31:52,959 Speaker 1: I don't care what job it is. AI is somehow 584 00:31:53,000 --> 00:31:55,600 Speaker 1: going to be involved in your job coming up real soon, 585 00:31:55,640 --> 00:31:59,000 Speaker 1: if not already, So this can only help you, right, So, 586 00:31:59,040 --> 00:32:01,960 Speaker 1: I'm hoping that I'll see you again. Save the date 587 00:32:02,000 --> 00:32:05,200 Speaker 1: for September twenty fifth at eight pm. We are going 588 00:32:05,240 --> 00:32:07,880 Speaker 1: to learn how to use AI tools and software to 589 00:32:07,920 --> 00:32:11,400 Speaker 1: boost our career strategy, get the jobs we want, get 590 00:32:11,400 --> 00:32:13,520 Speaker 1: the pay that we want, and at least, at the 591 00:32:13,600 --> 00:32:17,840 Speaker 1: very least, feel inspired and feel ready to take on 592 00:32:18,160 --> 00:32:25,680 Speaker 1: this rapidly changing economy and rapidly declining job market. All right, Vafa, 593 00:32:25,680 --> 00:32:27,200 Speaker 1: I'm going to take a little bit of a break. 594 00:32:27,400 --> 00:32:32,120 Speaker 1: I'll be right back after we pay some bills. Welcome 595 00:32:32,120 --> 00:32:36,280 Speaker 1: back via FAM. I want to get into some happy news. I, 596 00:32:36,760 --> 00:32:38,720 Speaker 1: as you know, have been doing the Brand Ambition book 597 00:32:38,760 --> 00:32:42,120 Speaker 1: Club for some time now. We've had two official book 598 00:32:42,120 --> 00:32:45,640 Speaker 1: club selections. I'm in the market for number three. I'm 599 00:32:45,720 --> 00:32:48,200 Speaker 1: narrowing it down to a couple. I'd love y'all to 600 00:32:48,560 --> 00:32:51,080 Speaker 1: offer some feedback. All you have to do to join 601 00:32:51,160 --> 00:32:52,640 Speaker 1: the book Club, by the way, is just be a 602 00:32:52,640 --> 00:32:56,080 Speaker 1: member of the broad Ambition Patreon and free membership gets 603 00:32:56,120 --> 00:32:57,960 Speaker 1: you access to the book club. You do not have 604 00:32:58,000 --> 00:33:00,240 Speaker 1: to pay to be a Patreon, although if you want 605 00:33:00,240 --> 00:33:03,000 Speaker 1: to pay, you'll get some perks, like you'll get invites 606 00:33:03,000 --> 00:33:05,840 Speaker 1: to join us and during live tapings of the show 607 00:33:05,840 --> 00:33:08,960 Speaker 1: when we have the Brown Table together, you'll also get 608 00:33:09,480 --> 00:33:12,640 Speaker 1: AD free viewing of video episodes, so you don't have 609 00:33:12,680 --> 00:33:15,440 Speaker 1: to watch on YouTube and sit through all those ads. 610 00:33:15,880 --> 00:33:18,240 Speaker 1: You can just come to the Patreon and watch at 611 00:33:18,280 --> 00:33:21,160 Speaker 1: your leisure, get your wash day woosaws, your Brown Tables, 612 00:33:21,160 --> 00:33:26,520 Speaker 1: your baqas ad free. So yeah, ba book Club, there's 613 00:33:26,560 --> 00:33:30,400 Speaker 1: some contenders. So I'm actually so I'll let you in 614 00:33:30,480 --> 00:33:33,160 Speaker 1: on my thought process. So I'm a little self conscious 615 00:33:33,200 --> 00:33:35,760 Speaker 1: because I know my first two book Club selections happen 616 00:33:35,840 --> 00:33:38,800 Speaker 1: to be written by authors by black mail authors rather 617 00:33:39,440 --> 00:33:42,400 Speaker 1: blackmail authors. So we had c Bo Campbell, my guy 618 00:33:42,800 --> 00:33:46,760 Speaker 1: love that Sky Full of Elephants. We also had Clarence Haynes, 619 00:33:46,800 --> 00:33:52,280 Speaker 1: who wrote the Ghost of Gwendolyn Montgomery and I am 620 00:33:52,640 --> 00:33:54,600 Speaker 1: done with that. Okay, we need to pick a woman 621 00:33:54,640 --> 00:33:58,640 Speaker 1: of color, and I have been looking. I really wanted 622 00:33:58,680 --> 00:34:02,680 Speaker 1: to be a nonfiction, something inspirational, something we're tied to, 623 00:34:02,720 --> 00:34:05,720 Speaker 1: maybe business or career, kind of getting back to the 624 00:34:05,720 --> 00:34:08,000 Speaker 1: basics when it comes to what Brown Ambition is really 625 00:34:08,040 --> 00:34:10,400 Speaker 1: here to do, which is all about financial and career 626 00:34:10,480 --> 00:34:15,000 Speaker 1: empowerment and a couple of options. So Issa Ray has 627 00:34:15,040 --> 00:34:17,960 Speaker 1: a new audio book that was just released and it's 628 00:34:17,960 --> 00:34:21,080 Speaker 1: an audible only original, so there is no physical book. 629 00:34:21,440 --> 00:34:22,759 Speaker 1: And I know that a lot of the girls like 630 00:34:22,800 --> 00:34:26,760 Speaker 1: we're listening to audiobooks anyway. But it's a book of essays. 631 00:34:26,840 --> 00:34:31,239 Speaker 1: It's three hours long about and it looks really good. 632 00:34:31,320 --> 00:34:33,000 Speaker 1: And I started to listen to it, and y'all know, 633 00:34:33,080 --> 00:34:35,400 Speaker 1: I love me some Lisa. Who doesn't love some Lisa. 634 00:34:36,080 --> 00:34:37,880 Speaker 1: I've been trying to get her on the show, but 635 00:34:38,280 --> 00:34:40,120 Speaker 1: damn it, of her people will not respond to me. 636 00:34:40,239 --> 00:34:42,520 Speaker 1: And you know, fairy game, fairy game, she had a 637 00:34:42,520 --> 00:34:46,759 Speaker 1: busy girl. But Lisa's new audiobook it's called I Should 638 00:34:46,800 --> 00:34:50,480 Speaker 1: be Smarter by Now, and it gets into it's personal essays, 639 00:34:50,520 --> 00:34:53,840 Speaker 1: so she's reading her personal stories that she's written, so 640 00:34:53,920 --> 00:34:56,800 Speaker 1: I know it's going to be good. I loved Misadventures 641 00:34:56,800 --> 00:34:59,759 Speaker 1: of an Awkward Black Girl that came out with her 642 00:34:59,800 --> 00:35:03,880 Speaker 1: first first memoir sort of book book of essays that 643 00:35:03,960 --> 00:35:06,640 Speaker 1: came out god, maybe ten years ago. Now it's been 644 00:35:06,680 --> 00:35:12,000 Speaker 1: a while. So there's that. And then another brilliant woman, 645 00:35:12,280 --> 00:35:16,080 Speaker 1: Uzo Aduba, has a new memoir coming out. The Road 646 00:35:16,320 --> 00:35:20,080 Speaker 1: is Good, How a mother's strength became a daughter's purpose. 647 00:35:20,760 --> 00:35:24,200 Speaker 1: So she revealed the cover and it is just stunning. 648 00:35:24,920 --> 00:35:28,919 Speaker 1: And while she was writing this book, Uzo her mother 649 00:35:29,200 --> 00:35:34,560 Speaker 1: was fighting cancer and unfortunately succumb to her battle with cancer. 650 00:35:35,000 --> 00:35:38,960 Speaker 1: And I know, as Uzo as a new mommy, as 651 00:35:38,960 --> 00:35:41,640 Speaker 1: a working artist, like, I just know that this book 652 00:35:41,680 --> 00:35:43,839 Speaker 1: is going to be powerful. So I'm waiting to get 653 00:35:43,840 --> 00:35:47,480 Speaker 1: my copy. I'm thinking about that. And there's a third 654 00:35:47,560 --> 00:35:49,400 Speaker 1: so these are each different. So we had, like the 655 00:35:49,440 --> 00:35:52,879 Speaker 1: nonfiction essay of is of Fray, we have the inspirational 656 00:35:52,920 --> 00:35:56,480 Speaker 1: memoir from Uzu Aduba. My third option is a novel 657 00:35:56,840 --> 00:35:59,640 Speaker 1: that I got the opportunity to read in advance. Yea 658 00:35:59,719 --> 00:36:02,320 Speaker 1: to being podcast producer, people will send you books in advance. 659 00:36:02,840 --> 00:36:06,239 Speaker 1: This book is called Who Knows You by Heart? And 660 00:36:06,719 --> 00:36:08,880 Speaker 1: you know, as I'm saying it, it's another book that 661 00:36:08,960 --> 00:36:12,560 Speaker 1: has a beautiful black female, not even beautiful, but a 662 00:36:12,600 --> 00:36:16,439 Speaker 1: black female, strong black female character, a Jamaican American black 663 00:36:16,480 --> 00:36:20,279 Speaker 1: female character at its heart, and she's the main protagonist 664 00:36:20,360 --> 00:36:23,840 Speaker 1: in the story, but written by a black guy author. 665 00:36:24,640 --> 00:36:26,320 Speaker 1: I don't know what I'm going to do about that, Guys? 666 00:36:26,840 --> 00:36:30,560 Speaker 1: Is it okay? I mean, in both cases my first 667 00:36:30,600 --> 00:36:33,399 Speaker 1: picks of the book club, sky Full of Elephants and 668 00:36:33,680 --> 00:36:37,759 Speaker 1: the Ghost of Gwendela Montgomery, they each featured main protagonists 669 00:36:37,760 --> 00:36:40,799 Speaker 1: who are women of color, black women. So you know 670 00:36:40,840 --> 00:36:44,359 Speaker 1: who knows You by Heart also has a black woman protagonist. 671 00:36:44,560 --> 00:36:47,920 Speaker 1: Just has you written by a black author? Regardless. I'm 672 00:36:47,960 --> 00:36:51,000 Speaker 1: getting that, I've gotten the author c J. Fartley. He's 673 00:36:51,040 --> 00:36:52,880 Speaker 1: coming on this show to talk about the book, so 674 00:36:52,960 --> 00:36:56,279 Speaker 1: that's very exciting. But I really enjoyed that book. It's 675 00:36:56,280 --> 00:36:58,680 Speaker 1: not out until November. Of course, you can pre order 676 00:36:58,680 --> 00:37:00,520 Speaker 1: it now, and why the hell just go ahead and 677 00:37:00,520 --> 00:37:02,200 Speaker 1: pre order? Why not go ahead and pre order it 678 00:37:02,640 --> 00:37:05,680 Speaker 1: because I it was a page turner And basically what 679 00:37:05,719 --> 00:37:09,839 Speaker 1: you're learning is a story of this this young black woman, 680 00:37:09,920 --> 00:37:13,520 Speaker 1: modern day Silicon Valley type vibe. She works in big 681 00:37:13,560 --> 00:37:17,080 Speaker 1: tech and she's a coder, and she's a little bit 682 00:37:17,120 --> 00:37:19,560 Speaker 1: of like a like a rebel as a coder. I 683 00:37:19,560 --> 00:37:23,160 Speaker 1: don't know, she's doing her own thing, and she actually 684 00:37:23,239 --> 00:37:26,000 Speaker 1: gets hired by like I couldn't tell. Is this company 685 00:37:26,120 --> 00:37:28,480 Speaker 1: supposed to be like a Tesla or like an audible, 686 00:37:28,560 --> 00:37:31,040 Speaker 1: Like I don't know. It's a big, big tech company. 687 00:37:31,520 --> 00:37:34,640 Speaker 1: And she kind of finds herself getting swept up in 688 00:37:34,800 --> 00:37:38,440 Speaker 1: the AI revolution and think she's in control of it. 689 00:37:39,239 --> 00:37:41,120 Speaker 1: And I don't want to give too much away, but 690 00:37:41,600 --> 00:37:44,719 Speaker 1: it's a bit of a thriller. It's thriller ish. It's 691 00:37:44,960 --> 00:37:49,400 Speaker 1: very thought for provoking. It's very like chilling, kind of 692 00:37:49,440 --> 00:37:52,319 Speaker 1: makes you want to unplug every device that you ever 693 00:37:52,360 --> 00:37:54,920 Speaker 1: have connected to the Internet and scrape all of your 694 00:37:55,000 --> 00:37:58,440 Speaker 1: data like in a way. But I just thought it 695 00:37:58,480 --> 00:38:03,200 Speaker 1: was very thought provoking. And he also tackles head on 696 00:38:03,840 --> 00:38:05,960 Speaker 1: and I think he really captures what it's like to 697 00:38:06,000 --> 00:38:09,600 Speaker 1: be a black woman, specifically in tech in modern America. 698 00:38:09,760 --> 00:38:12,560 Speaker 1: So the fact that in this guy, come to find out, 699 00:38:12,640 --> 00:38:15,160 Speaker 1: the author like he used to work in tech. He 700 00:38:15,280 --> 00:38:17,279 Speaker 1: was like an executive at some big tech company. I 701 00:38:17,280 --> 00:38:20,319 Speaker 1: forget which one. So he gets it. He talks about 702 00:38:20,360 --> 00:38:24,000 Speaker 1: how she's sort of like really working there because she 703 00:38:24,040 --> 00:38:25,640 Speaker 1: has a bunch of debt to pay off after her 704 00:38:25,680 --> 00:38:29,120 Speaker 1: mom has passed away. As a personal finance girl, I 705 00:38:29,160 --> 00:38:32,239 Speaker 1: love a plot point that includes reverse mortgages because how 706 00:38:32,360 --> 00:38:35,480 Speaker 1: like nerdy and dorky is that, But I love it 707 00:38:35,480 --> 00:38:38,120 Speaker 1: we get into that. But anyway, she's broke and she 708 00:38:38,239 --> 00:38:40,160 Speaker 1: has to be working, and so for her, it's like, 709 00:38:40,200 --> 00:38:42,480 Speaker 1: I need a big fat tech job. I need to 710 00:38:42,480 --> 00:38:45,200 Speaker 1: get some of them golden handcuffs. Give me those RSUs 711 00:38:45,360 --> 00:38:48,480 Speaker 1: and you see how you know, the company uses those 712 00:38:48,480 --> 00:38:51,880 Speaker 1: golden handcuffs to you know, keep her trapped, kind of 713 00:38:51,920 --> 00:38:55,160 Speaker 1: keep her coming back. And at the same time, she's 714 00:38:55,280 --> 00:38:58,880 Speaker 1: encountering the ergs that are you know, the women in 715 00:38:58,960 --> 00:39:03,279 Speaker 1: tech erg and the feminist, feminist white woman leader who 716 00:39:03,320 --> 00:39:05,960 Speaker 1: really wants to you know, take her under her wing 717 00:39:06,040 --> 00:39:08,560 Speaker 1: and all that shit, and at the same time, like 718 00:39:09,239 --> 00:39:13,719 Speaker 1: is keeping tabs on the microaggressions that she's facing day 719 00:39:13,760 --> 00:39:16,840 Speaker 1: to day working. So at the same time, it's telling 720 00:39:16,840 --> 00:39:19,040 Speaker 1: a really compelling story that I don't think I've seen 721 00:39:19,480 --> 00:39:22,520 Speaker 1: in a novel recently and certainly not in film and television, 722 00:39:22,960 --> 00:39:25,960 Speaker 1: but telling the story of a really cool, interesting, unique 723 00:39:25,960 --> 00:39:29,560 Speaker 1: black female character, but in the backdrop of like what 724 00:39:29,880 --> 00:39:32,480 Speaker 1: it's like being a black woman working in tech today. 725 00:39:32,920 --> 00:39:35,880 Speaker 1: Thought he really did a good job. So we'll I 726 00:39:36,000 --> 00:39:39,480 Speaker 1: gonna see. But those are my three ideas. Right now, 727 00:39:40,440 --> 00:39:47,160 Speaker 1: there's another I'm trying to avoid, like super prescriptive like business, 728 00:39:47,360 --> 00:39:51,200 Speaker 1: how to be a leader, how to launch of business 729 00:39:51,200 --> 00:39:55,120 Speaker 1: type books. I'm trying to find books that evoke a 730 00:39:55,200 --> 00:40:00,840 Speaker 1: sense of delight, inspiration, optimism, and yes, make us think 731 00:40:01,480 --> 00:40:05,840 Speaker 1: about career and about finances. But it's me again trying 732 00:40:05,880 --> 00:40:10,600 Speaker 1: to take us out of like the rigidity of you know, 733 00:40:10,719 --> 00:40:12,960 Speaker 1: learning the how to's and all of that, and just 734 00:40:13,040 --> 00:40:18,480 Speaker 1: like embracing the power of really good storytelling that bring 735 00:40:18,600 --> 00:40:21,040 Speaker 1: us closer to those subjects, but don't like beat us 736 00:40:21,040 --> 00:40:22,759 Speaker 1: over the head with them, do you know what I mean? 737 00:40:23,320 --> 00:40:25,520 Speaker 1: So it could be a novel, it could be memoir, 738 00:40:25,600 --> 00:40:29,480 Speaker 1: it could be nonfiction. But the Brown Ambition Book Club 739 00:40:29,560 --> 00:40:31,799 Speaker 1: at its heart is when we're reading these books, I 740 00:40:31,840 --> 00:40:35,120 Speaker 1: want us to feel empowered and inspired and open us 741 00:40:35,160 --> 00:40:38,640 Speaker 1: up to conversations about what it's actually like living in 742 00:40:38,680 --> 00:40:42,239 Speaker 1: our skin, in our bodies as women, black women, women 743 00:40:42,280 --> 00:40:46,120 Speaker 1: of color, in this world, in this healthscape. Is it 744 00:40:46,160 --> 00:40:48,920 Speaker 1: too much to say it's a healthcape? I don't know that. 745 00:40:49,160 --> 00:40:52,319 Speaker 1: That expression kind of makes me chuckle, But we gotta 746 00:40:52,560 --> 00:40:55,040 Speaker 1: we gotta laugh so we don't cry. But those are 747 00:40:55,040 --> 00:40:57,759 Speaker 1: my That's what I'm thinking about. Now. If you're on 748 00:40:57,800 --> 00:41:00,920 Speaker 1: the patreon, I need your feet. I need you to 749 00:41:00,920 --> 00:41:03,880 Speaker 1: come with your ideas. So again, check out the patreon. 750 00:41:04,000 --> 00:41:06,640 Speaker 1: It's patreon dot com slash Brown Ambition, or you can 751 00:41:06,680 --> 00:41:09,120 Speaker 1: go to the show notes to get the link to 752 00:41:09,160 --> 00:41:12,040 Speaker 1: the patreon. Is it dot co or dot com girl, 753 00:41:12,080 --> 00:41:14,279 Speaker 1: I don't know. Check the show notes, but we're Brian 754 00:41:14,360 --> 00:41:18,120 Speaker 1: Ambition there. Join the patreon again, completely free to join, 755 00:41:18,280 --> 00:41:20,960 Speaker 1: and you can weigh in on our next book club 756 00:41:21,120 --> 00:41:23,520 Speaker 1: selection and let me know if I'm on the right track. 757 00:41:24,600 --> 00:41:27,319 Speaker 1: So yeah, but I've really been loving it so far 758 00:41:27,840 --> 00:41:30,480 Speaker 1: and I appreciate everyone who's been a part of it. 759 00:41:30,760 --> 00:41:34,080 Speaker 1: So thank y'all. Okay, now we have come to the 760 00:41:34,239 --> 00:41:37,800 Speaker 1: time to do Brown Boost, Brown Break for this week. 761 00:41:37,840 --> 00:41:39,800 Speaker 1: I am going to bring it all back to the 762 00:41:39,880 --> 00:41:41,719 Speaker 1: beginning of the show. I spent a lot of time 763 00:41:41,800 --> 00:41:44,080 Speaker 1: at the top of the show talking about the job market. 764 00:41:44,120 --> 00:41:47,840 Speaker 1: We talked about the three hundred plus thousand black women 765 00:41:47,880 --> 00:41:50,200 Speaker 1: who lost their jobs in the first half of the year. 766 00:41:50,880 --> 00:41:52,680 Speaker 1: I want to talk about or give a boost to 767 00:41:53,200 --> 00:41:55,920 Speaker 1: a black woman who's actually doing something about it, to 768 00:41:56,040 --> 00:41:59,560 Speaker 1: my friend Dysha Dyer, who has been on the show before. Remember, 769 00:41:59,600 --> 00:42:03,799 Speaker 1: she's the author of the book Undiplomatic. She was the 770 00:42:03,840 --> 00:42:07,000 Speaker 1: Social secretary at the White House during the Obama administration, 771 00:42:07,320 --> 00:42:11,919 Speaker 1: and Desha in light of the statistic that came out 772 00:42:12,000 --> 00:42:14,440 Speaker 1: showing that three hundred thousand black women have left or 773 00:42:14,440 --> 00:42:18,480 Speaker 1: have lost their jobs, she actually created and created a 774 00:42:18,520 --> 00:42:22,840 Speaker 1: fundraiser and raised twenty five thousand dollars in partnership with 775 00:42:22,880 --> 00:42:27,200 Speaker 1: the Loveland Foundation to offer free therapy to black women 776 00:42:27,239 --> 00:42:30,160 Speaker 1: who have been who have been let go or lost 777 00:42:30,160 --> 00:42:34,360 Speaker 1: their jobs this year. So I love Udisha, and I 778 00:42:34,440 --> 00:42:38,000 Speaker 1: just think this is incredible and it's very inspiring because 779 00:42:38,160 --> 00:42:42,479 Speaker 1: twenty five thousand dollars, I mean, it's not millions, right, 780 00:42:42,840 --> 00:42:46,200 Speaker 1: but she has enabled dozens hundreds of women to get 781 00:42:46,239 --> 00:42:50,000 Speaker 1: free access to a therapy session. And if there's one 782 00:42:50,040 --> 00:42:54,080 Speaker 1: thing that is overwhelming to me about being a career 783 00:42:54,120 --> 00:42:56,439 Speaker 1: coach at a time like this is how so much 784 00:42:56,480 --> 00:43:02,040 Speaker 1: of the challenge becomes mental, you know, becomes about keeping 785 00:43:02,120 --> 00:43:07,520 Speaker 1: ourselves mentally healthy to endure the challenges of today's job market. 786 00:43:07,960 --> 00:43:11,839 Speaker 1: And I am not a licensed mental health expert. I'm 787 00:43:11,880 --> 00:43:14,440 Speaker 1: not a therapist, I'm not a social worker. I'm none 788 00:43:14,480 --> 00:43:17,200 Speaker 1: of those things. And I've never said I was, so 789 00:43:17,560 --> 00:43:20,720 Speaker 1: we still value and love our mental health care workers. 790 00:43:20,920 --> 00:43:24,080 Speaker 1: At the same time, it's expensive and when you've lost 791 00:43:24,120 --> 00:43:25,719 Speaker 1: your job, you know what you don't have in this 792 00:43:25,800 --> 00:43:29,200 Speaker 1: god forsaken country is health insurance a lot of the times. 793 00:43:29,560 --> 00:43:32,160 Speaker 1: And if you do have it, will it actually cover 794 00:43:32,239 --> 00:43:35,919 Speaker 1: the services of all mental health professionals. No, the one 795 00:43:35,960 --> 00:43:38,239 Speaker 1: that may be the right one for you maybe out 796 00:43:38,280 --> 00:43:41,520 Speaker 1: of network, or may have a really high copay, or 797 00:43:41,560 --> 00:43:43,759 Speaker 1: you may have a high deductible. So the fact that 798 00:43:43,880 --> 00:43:47,200 Speaker 1: Disha's done this fundraiser and she's raised this money for 799 00:43:47,200 --> 00:43:50,520 Speaker 1: black women to get mental health support, it's just incredible 800 00:43:50,640 --> 00:43:52,560 Speaker 1: and it's a little bit of bright, happy news that 801 00:43:52,840 --> 00:43:54,960 Speaker 1: I wanted to end the show on. So shout out 802 00:43:54,960 --> 00:43:57,759 Speaker 1: to Desha and to anyone listening if you haven't checked 803 00:43:57,760 --> 00:44:00,719 Speaker 1: out the Loveland Foundation. They do incredible will work. The 804 00:44:00,800 --> 00:44:04,160 Speaker 1: Loveland Foundation was founded by Rachel Cargole. This was back 805 00:44:04,200 --> 00:44:07,440 Speaker 1: in twenty eighteen. She wanted to raise over two hundred 806 00:44:07,440 --> 00:44:10,759 Speaker 1: and fifty thousand dollars to provide therapy for black women 807 00:44:10,840 --> 00:44:15,040 Speaker 1: and girls, and since then, the Loveland Foundation has continued 808 00:44:15,160 --> 00:44:18,400 Speaker 1: her effort so to helping to bring opportunity and healing 809 00:44:18,440 --> 00:44:22,640 Speaker 1: to communities of color, especially black women and non binary individuals, 810 00:44:23,040 --> 00:44:27,040 Speaker 1: through fellowships, residency programs, listening tours, and more So. Check 811 00:44:27,080 --> 00:44:30,800 Speaker 1: out the Loveland Foundation and yeah, check out Dshit Go 812 00:44:30,840 --> 00:44:35,120 Speaker 1: follow her on ig follow all her work. Okaya, fam, 813 00:44:35,360 --> 00:44:38,920 Speaker 1: I'm going to call that a wrap. Stay tuned this week. 814 00:44:38,960 --> 00:44:42,160 Speaker 1: On Friday, I'm back with an episode of the Baqa 815 00:44:42,680 --> 00:44:44,960 Speaker 1: and then we have our Wash Day WUSA coming up 816 00:44:45,000 --> 00:44:47,920 Speaker 1: this Sunday. I'm going to be sitting down with Ebanie 817 00:44:48,000 --> 00:44:51,359 Speaker 1: k Williams, who, if you recall, was the first black 818 00:44:51,400 --> 00:44:55,000 Speaker 1: woman to ever be a real housewife of New York. 819 00:44:55,600 --> 00:45:00,000 Speaker 1: So Ebanie and I talk about her career as an attorney, 820 00:45:00,440 --> 00:45:04,280 Speaker 1: and she's now posting her court TV show called Equal 821 00:45:04,440 --> 00:45:07,480 Speaker 1: Justice with Judge Ebedy k Williams. Check that out. We 822 00:45:07,480 --> 00:45:10,239 Speaker 1: had a really fun conversation. That'll be the Wash Day 823 00:45:10,239 --> 00:45:14,560 Speaker 1: WUSAW for this Sunday. All right, va, fam, please hang 824 00:45:14,640 --> 00:45:18,400 Speaker 1: in there, lean on one another for support. Don't believe 825 00:45:18,400 --> 00:45:21,080 Speaker 1: everything you think. That's another good book that could be 826 00:45:21,120 --> 00:45:23,840 Speaker 1: a book club selection. I highly recommend it. Don't believe 827 00:45:23,880 --> 00:45:27,000 Speaker 1: everything you think. Take care of here, take care of here, 828 00:45:27,640 --> 00:45:29,880 Speaker 1: and take care of each other. Sending you lots and 829 00:45:29,920 --> 00:45:35,479 Speaker 1: lots of love. Thank you so much. Bye okay va fam, 830 00:45:35,520 --> 00:45:37,880 Speaker 1: thank you so much for listening to this week's show. 831 00:45:37,960 --> 00:45:41,239 Speaker 1: I want to shout out to our production team, Courtney, 832 00:45:41,400 --> 00:45:46,240 Speaker 1: our editor, Carla, our fearless leader for idea to launch productions. 833 00:45:46,640 --> 00:45:50,120 Speaker 1: I want to shout out my assistant Lauda Escalante and 834 00:45:50,280 --> 00:45:53,520 Speaker 1: Cameron McNair for helping me put the show together. It 835 00:45:53,640 --> 00:45:57,200 Speaker 1: is not a one person project, as much as I 836 00:45:57,239 --> 00:45:59,640 Speaker 1: have tried to make it so these past ten years. 837 00:45:59,800 --> 00:46:03,120 Speaker 1: I need help, y'all, and thank goodness I've been able 838 00:46:03,160 --> 00:46:05,520 Speaker 1: to put this team around me to support me on 839 00:46:05,560 --> 00:46:08,360 Speaker 1: this journey. And to y'all, Ba Fam, I love you 840 00:46:08,480 --> 00:46:12,359 Speaker 1: so so so so much. Please rate, review, subscribe, Make 841 00:46:12,360 --> 00:46:14,319 Speaker 1: sure you sign up to the newsletter to get all 842 00:46:14,400 --> 00:46:18,680 Speaker 1: the latest updates on upcoming episodes, our ten year anniversary 843 00:46:18,760 --> 00:46:23,040 Speaker 1: celebrations to come, and until next time, talk to you soon, 844 00:46:23,120 --> 00:46:24,640 Speaker 1: BA buye