1 00:00:17,120 --> 00:00:20,720 Speaker 1: Hey, hey, va fam. Welcome to Brown Ambition. Welcome to 2 00:00:20,800 --> 00:00:23,919 Speaker 1: the Brown Table. You know what, it's just me today. 3 00:00:24,120 --> 00:00:26,640 Speaker 1: I'm going solo. There is so much to talk to 4 00:00:26,720 --> 00:00:29,880 Speaker 1: you all about, so much that impacts your wallet, that 5 00:00:29,880 --> 00:00:32,240 Speaker 1: could impact your career, and I thought it was time 6 00:00:32,320 --> 00:00:35,640 Speaker 1: for me to do a solo show. So welcome. Whether 7 00:00:35,680 --> 00:00:38,199 Speaker 1: you're watching on YouTube or you are listening wherever you 8 00:00:38,240 --> 00:00:40,960 Speaker 1: get your podcasts, Welcome to Brown Ambition. This is where 9 00:00:41,000 --> 00:00:44,239 Speaker 1: your money, your career, and the culture intersect. I am 10 00:00:44,240 --> 00:00:47,080 Speaker 1: Mandy Money. I am your host. And whether you are 11 00:00:47,159 --> 00:00:49,640 Speaker 1: brand new to the show or you are OGBA fan 12 00:00:49,800 --> 00:00:54,400 Speaker 1: from ten almost ten years y'all ten years now, twenty fifteen, 13 00:00:54,440 --> 00:00:57,880 Speaker 1: we launched Welcome. You are in the right place. I 14 00:00:57,920 --> 00:00:59,840 Speaker 1: am going to break down some of the headlines that 15 00:01:00,320 --> 00:01:02,880 Speaker 1: really matter, really have an impact on what we're going 16 00:01:02,920 --> 00:01:06,440 Speaker 1: through today, and I hope you find this insightful. I 17 00:01:06,480 --> 00:01:10,040 Speaker 1: also want y'all to let this be a reminder that 18 00:01:10,520 --> 00:01:12,800 Speaker 1: as things are happening in the world, there's always something 19 00:01:12,840 --> 00:01:17,520 Speaker 1: that we can be doing or changing it up personally 20 00:01:17,600 --> 00:01:21,160 Speaker 1: to inoculate ourselves and protect ourselves the best we can 21 00:01:21,240 --> 00:01:24,959 Speaker 1: from the shenanigans that are happening. And we know where 22 00:01:25,000 --> 00:01:28,399 Speaker 1: the Shenanigans are happening. And in fact, that brings me 23 00:01:28,440 --> 00:01:31,240 Speaker 1: to my very first item of the day. This is 24 00:01:31,600 --> 00:01:35,360 Speaker 1: kind of breaking news. I'm actually recording this on Tuesday, 25 00:01:35,600 --> 00:01:39,080 Speaker 1: and about half an hour ago the news broke that 26 00:01:39,160 --> 00:01:44,039 Speaker 1: the Senate has actually passed Trump's Oh what are we 27 00:01:44,080 --> 00:01:47,640 Speaker 1: calling this? He's gonna make like we're technically supposed to 28 00:01:47,640 --> 00:01:50,160 Speaker 1: call it the most aseni name I've ever heard of, 29 00:01:51,360 --> 00:01:55,160 Speaker 1: the Big Beautiful Bill. But I'm going to call it 30 00:01:55,200 --> 00:02:00,360 Speaker 1: the big beautiful pile of bs and tax breaks for 31 00:02:00,440 --> 00:02:06,240 Speaker 1: the rich and incredible spending to social safety net programs 32 00:02:06,280 --> 00:02:08,000 Speaker 1: that are going to put so many of us at 33 00:02:08,080 --> 00:02:13,840 Speaker 1: risk in this country, including Medicare, including social Security. But 34 00:02:13,919 --> 00:02:18,160 Speaker 1: the Senate now has passed the Big Beautiful Bill. They 35 00:02:18,240 --> 00:02:22,040 Speaker 1: passed it even though three of their own, the Republicans, 36 00:02:22,040 --> 00:02:26,639 Speaker 1: three of their own defected and voted against the bill. JD. Vans, 37 00:02:26,760 --> 00:02:31,600 Speaker 1: of course, Trump's favorite little stooge, was the tie breaking vote. 38 00:02:31,919 --> 00:02:34,440 Speaker 1: And now it's on its way to the House. So 39 00:02:34,600 --> 00:02:37,000 Speaker 1: let's do a quick recap. I'll just remind you what's 40 00:02:37,040 --> 00:02:40,200 Speaker 1: actually in this bill. This bill is going to shake 41 00:02:40,320 --> 00:02:42,560 Speaker 1: up everything from how much we pay in taxes to 42 00:02:42,639 --> 00:02:45,120 Speaker 1: what kind of benefits we might get from the government. 43 00:02:45,280 --> 00:02:47,600 Speaker 1: This bill is going to lock in the tax cuts 44 00:02:47,600 --> 00:02:51,040 Speaker 1: that were put into place from Trump's first term, which 45 00:02:51,040 --> 00:02:53,440 Speaker 1: we're set to expire this year in twenty twenty five. 46 00:02:53,480 --> 00:02:57,120 Speaker 1: We're talking about adding trillions of dollars to the US 47 00:02:57,160 --> 00:03:00,280 Speaker 1: deficit over the next ten years if this bill is 48 00:03:00,320 --> 00:03:04,560 Speaker 1: going to pass. Now, Republicans love tax breaks for the rich. 49 00:03:04,800 --> 00:03:09,160 Speaker 1: They love taking away tax funded social safety net programs 50 00:03:09,200 --> 00:03:12,000 Speaker 1: for the people who are in need. They don't always 51 00:03:12,000 --> 00:03:14,160 Speaker 1: have a way to make up funding for that in 52 00:03:14,200 --> 00:03:17,720 Speaker 1: other ways. And it's kind of crazy because if anyone 53 00:03:17,919 --> 00:03:20,840 Speaker 1: with two brain cells to rup together could look at 54 00:03:20,840 --> 00:03:24,520 Speaker 1: someone's budget and say, so, you're going to spend trillions 55 00:03:24,560 --> 00:03:27,040 Speaker 1: of dollars more, but you don't have a way to 56 00:03:27,160 --> 00:03:31,520 Speaker 1: like raise more money, get a higher paying job, find 57 00:03:31,520 --> 00:03:34,920 Speaker 1: a way to pay for all these new expenses. Like 58 00:03:35,000 --> 00:03:38,000 Speaker 1: who's looking at this person? Who would talk to that 59 00:03:38,040 --> 00:03:40,440 Speaker 1: person and be like, oh, yeah, I approve of this budget. 60 00:03:40,480 --> 00:03:43,160 Speaker 1: This makes so much sense. But that's exactly what lawmakers 61 00:03:43,200 --> 00:03:45,400 Speaker 1: are doing right now. And when it comes to this big, 62 00:03:45,440 --> 00:03:49,360 Speaker 1: beautiful pile of bs that includes cuts to Medicaid, food 63 00:03:49,400 --> 00:03:53,080 Speaker 1: stamp programs, and other social programs to pay for the 64 00:03:53,160 --> 00:03:56,560 Speaker 1: tax break. The bill proposes one point two trillion dollars 65 00:03:56,560 --> 00:03:59,160 Speaker 1: being cut from Medicaid and food stamps or the SNAP 66 00:03:59,200 --> 00:04:03,960 Speaker 1: program that means stricter eligibility, new work requirements. They could 67 00:04:04,040 --> 00:04:06,080 Speaker 1: require you to work up to eighty hours a month 68 00:04:06,160 --> 00:04:10,040 Speaker 1: in order to be eligible, and millions, especially those low 69 00:04:10,040 --> 00:04:14,480 Speaker 1: income families and rural Americans, actually risk losing their health 70 00:04:14,480 --> 00:04:18,800 Speaker 1: coverage or food assistants. The Congressional Budget Office estimates that 71 00:04:18,920 --> 00:04:23,120 Speaker 1: nearly twelve million Americans could lose Medicaid coverage and millions 72 00:04:23,160 --> 00:04:26,240 Speaker 1: more could see their health care cost increase, or they 73 00:04:26,240 --> 00:04:29,200 Speaker 1: could even lose coverage under the Affordable Care Act if 74 00:04:29,240 --> 00:04:31,800 Speaker 1: this were to pass as is. So we have to 75 00:04:31,880 --> 00:04:34,000 Speaker 1: keep our eyes on this, yeall. The biggest losers from 76 00:04:34,040 --> 00:04:36,960 Speaker 1: this bill are people that you know, Republicans don't give 77 00:04:37,000 --> 00:04:39,599 Speaker 1: two flying fs about and yet needed their votes so 78 00:04:39,720 --> 00:04:43,880 Speaker 1: bad to elect this fascist dictator into the White House. 79 00:04:44,360 --> 00:04:47,719 Speaker 1: But the biggest losers low income families and individuals could 80 00:04:47,760 --> 00:04:50,600 Speaker 1: lose health care coverage and food assistants, especially if they 81 00:04:50,640 --> 00:04:54,520 Speaker 1: can't meet new work requirements. Rural Americans may see their 82 00:04:54,520 --> 00:04:58,000 Speaker 1: hospitals closed down, medical practices closed down because they no 83 00:04:58,040 --> 00:05:03,120 Speaker 1: longer have or eligible to be covered through Medicaid. This 84 00:05:03,200 --> 00:05:06,520 Speaker 1: man opens his mouth or puts pen to paper or 85 00:05:06,600 --> 00:05:08,919 Speaker 1: of giant sharpie to paper and tries to sign something 86 00:05:08,960 --> 00:05:12,000 Speaker 1: new into law. So what can we do. It's not 87 00:05:12,160 --> 00:05:16,000 Speaker 1: law yet, it's got to clear the House somehow. They're 88 00:05:16,040 --> 00:05:18,480 Speaker 1: saying that Trump may have this bill on his desk 89 00:05:18,520 --> 00:05:20,960 Speaker 1: by the fourth of July, and this man loves pomp 90 00:05:20,960 --> 00:05:23,320 Speaker 1: and circumstance, so that would be the headline. I'm sure 91 00:05:23,320 --> 00:05:25,240 Speaker 1: he would love to have. But how are they going 92 00:05:25,320 --> 00:05:26,920 Speaker 1: to get this thing through the House in the next 93 00:05:26,920 --> 00:05:30,880 Speaker 1: three days? I have no idea, but it's not too 94 00:05:30,920 --> 00:05:34,800 Speaker 1: late for you to contact your elected officials on Capitol Hill. 95 00:05:34,920 --> 00:05:38,000 Speaker 1: Let them know if you support or don't support the big, 96 00:05:38,040 --> 00:05:41,000 Speaker 1: beautiful spending bill, and let them know what they can 97 00:05:41,040 --> 00:05:43,680 Speaker 1: do or what you're going to do with your vote 98 00:05:43,120 --> 00:05:46,120 Speaker 1: if they vote with it or against it. Like, we 99 00:05:46,200 --> 00:05:49,280 Speaker 1: have to let our voices be heard, and these officials 100 00:05:49,320 --> 00:05:52,000 Speaker 1: are literally elected to represent us, so let's make them 101 00:05:52,160 --> 00:05:54,599 Speaker 1: do their job. All right. Now, let's shift from politics 102 00:05:54,640 --> 00:05:57,640 Speaker 1: to the power of technology in our everyday lives, especially 103 00:05:57,640 --> 00:05:59,680 Speaker 1: when it comes to finding a job. And y'all know 104 00:05:59,760 --> 00:06:02,679 Speaker 1: aw as a career coach myself, I'm in the trenches 105 00:06:02,720 --> 00:06:04,600 Speaker 1: with so many of us right now who are out 106 00:06:04,600 --> 00:06:07,640 Speaker 1: here trying to navigate this crazy job market. So I 107 00:06:07,680 --> 00:06:11,600 Speaker 1: want to talk about Derek Mobley. Derek Mobley versus Workday. 108 00:06:11,680 --> 00:06:13,760 Speaker 1: This is a man who, after more than one hundred 109 00:06:13,839 --> 00:06:17,919 Speaker 1: unsuccessful job applications, decided to take a stand. Derek Mobley 110 00:06:18,000 --> 00:06:22,800 Speaker 1: is suing software firm Workday, claiming that it's hiring algorithms 111 00:06:22,839 --> 00:06:26,440 Speaker 1: screened him out unfairly. His story highlights a growing concern 112 00:06:26,760 --> 00:06:30,320 Speaker 1: as AI becomes more entrenched and hiring, are we actually 113 00:06:30,360 --> 00:06:34,520 Speaker 1: sacrificing fairness for efficiency. Mobley's case could set a president 114 00:06:34,560 --> 00:06:37,320 Speaker 1: for how tech companies are held accountable in the job market. 115 00:06:37,520 --> 00:06:40,360 Speaker 1: This man, who is has decided to sue work Day, 116 00:06:40,600 --> 00:06:45,760 Speaker 1: alleging that by using this AI software, it is weeding 117 00:06:45,800 --> 00:06:50,440 Speaker 1: out candidates who may be older, who may have some disabilities. 118 00:06:50,480 --> 00:06:53,640 Speaker 1: He himself has struggled with anxiety and depression. He's also 119 00:06:53,680 --> 00:06:56,440 Speaker 1: a black man, so they may be weeding out candidates 120 00:06:56,440 --> 00:06:59,560 Speaker 1: of color, and even if they're not doing it intentionally, 121 00:07:00,080 --> 00:07:05,480 Speaker 1: these this software the technology that companies are using to 122 00:07:05,520 --> 00:07:08,600 Speaker 1: deal with the sheer breadth of applications they are getting 123 00:07:08,640 --> 00:07:12,160 Speaker 1: from Americans right now, from workers right now. They are 124 00:07:12,160 --> 00:07:14,480 Speaker 1: not taking the time to slow the f down and 125 00:07:14,600 --> 00:07:19,280 Speaker 1: ask themselves is more harm being done than good when 126 00:07:19,320 --> 00:07:21,560 Speaker 1: we rely on bots to help us. We through all 127 00:07:21,600 --> 00:07:26,040 Speaker 1: these applications, and I'm really interested to hear where this 128 00:07:26,120 --> 00:07:28,840 Speaker 1: case goes. It's working its way through the courts now. 129 00:07:28,920 --> 00:07:32,240 Speaker 1: So Mite has a new study that's come out from 130 00:07:32,240 --> 00:07:35,800 Speaker 1: their media lab where it asks does using AI tools 131 00:07:35,800 --> 00:07:39,880 Speaker 1: like chatchept actually harm our critical thinking skills? So the 132 00:07:39,920 --> 00:07:43,960 Speaker 1: research is suggesting that heavily relying on AI generated answers 133 00:07:44,000 --> 00:07:48,200 Speaker 1: can reduce our ability to reason through complex problems. And 134 00:07:48,240 --> 00:07:50,680 Speaker 1: it's a reminder for us to stay sharp and keep 135 00:07:50,840 --> 00:07:55,280 Speaker 1: questioning and not just accepting the information we're giving. I mean, 136 00:07:55,320 --> 00:07:58,600 Speaker 1: even the best technology can let us down, and whether 137 00:07:58,640 --> 00:08:01,080 Speaker 1: it's humans or bots. Now, if y'all miss this, there's 138 00:08:01,120 --> 00:08:04,240 Speaker 1: a new CEO at Red Lobster. His name is Wait. 139 00:08:04,320 --> 00:08:09,400 Speaker 1: I should have practiced this Damala Adamolicum. He is Red 140 00:08:09,440 --> 00:08:12,840 Speaker 1: Lobster's visionary new CEO. He is only thirty four years old, 141 00:08:12,960 --> 00:08:16,520 Speaker 1: kind of exciting. I hope that they give him room 142 00:08:16,560 --> 00:08:18,480 Speaker 1: to grow, in room to fail, and I hope that 143 00:08:18,520 --> 00:08:21,680 Speaker 1: he's not given like the glass cliff that so many 144 00:08:21,760 --> 00:08:23,520 Speaker 1: women of color are given when we come in to 145 00:08:23,640 --> 00:08:27,360 Speaker 1: save struggling companies and are quickly given the boot and 146 00:08:27,400 --> 00:08:32,720 Speaker 1: the blame when things don't work out immediately. Ugh. Yeah, 147 00:08:32,760 --> 00:08:35,280 Speaker 1: but let's talk about your job search. So, job market 148 00:08:35,280 --> 00:08:37,960 Speaker 1: strategies for twenty twenty five, the latest data is showing 149 00:08:38,040 --> 00:08:41,439 Speaker 1: that job seekers can succeed when we focus on targeted 150 00:08:41,480 --> 00:08:45,080 Speaker 1: skills based strategies and leverage AI tools. So I wanted 151 00:08:45,080 --> 00:08:47,800 Speaker 1: to kind of go through some actionable TEP steps and 152 00:08:47,880 --> 00:08:50,360 Speaker 1: tips that y'all could be leveraging in your job search. 153 00:08:51,040 --> 00:08:54,280 Speaker 1: So the first thing is very simple, tailor your application 154 00:08:54,760 --> 00:08:58,600 Speaker 1: for every single job. I don't want any shortcuts being taken. 155 00:08:58,720 --> 00:09:02,520 Speaker 1: If and especially if the job application has a field 156 00:09:02,600 --> 00:09:07,200 Speaker 1: for additional information, cover letter, portfolio, you need to be 157 00:09:07,200 --> 00:09:09,760 Speaker 1: giving them the whole kit and kaboodle. Any little thing 158 00:09:09,800 --> 00:09:12,400 Speaker 1: can help you separate yourself from the pack and stand 159 00:09:12,400 --> 00:09:14,640 Speaker 1: out from the crowd. We have to be customizing your 160 00:09:14,640 --> 00:09:17,480 Speaker 1: resume and cover letter. Can use AI tools. You can 161 00:09:17,520 --> 00:09:19,480 Speaker 1: pop in your resume, you can pop in the job 162 00:09:19,520 --> 00:09:21,560 Speaker 1: description and say, hey, give me some advice on how 163 00:09:21,640 --> 00:09:24,520 Speaker 1: I can tailor this for the job. It's so easy now, 164 00:09:24,679 --> 00:09:27,679 Speaker 1: there's really no excuse. The fact that it's so easy 165 00:09:27,880 --> 00:09:31,280 Speaker 1: means that we're actually in a more challenging application environment 166 00:09:31,360 --> 00:09:34,319 Speaker 1: because everybody and their mama can use chat GPT now. 167 00:09:34,320 --> 00:09:38,080 Speaker 1: It's so useful, it's so accessible, easy to use. So 168 00:09:38,280 --> 00:09:40,480 Speaker 1: how do we then stand out from people who already 169 00:09:40,480 --> 00:09:42,920 Speaker 1: are tailoring their resumes? So this is where you're going 170 00:09:43,000 --> 00:09:46,280 Speaker 1: to be wanting to beef up your application. It's about 171 00:09:46,320 --> 00:09:49,760 Speaker 1: adding in that personalized cover letter. It's about doing some 172 00:09:49,840 --> 00:09:53,480 Speaker 1: deep dives and digging into finding out who is actually 173 00:09:53,480 --> 00:09:56,360 Speaker 1: the hiring manager for this role. Am I connected with 174 00:09:56,520 --> 00:09:58,640 Speaker 1: them or someone who knows them, who knows someone who 175 00:09:58,640 --> 00:10:02,959 Speaker 1: knows them on LinkedIn? How can I get a referral 176 00:10:03,080 --> 00:10:06,800 Speaker 1: from someone internal at the company, even if it's someone 177 00:10:06,800 --> 00:10:09,240 Speaker 1: I haven't spoken to in years? Like taking that leap 178 00:10:09,600 --> 00:10:11,920 Speaker 1: to ask for a referral. Too many of us are 179 00:10:12,360 --> 00:10:14,400 Speaker 1: too afraid to do that, don't want to seem greedy 180 00:10:14,480 --> 00:10:18,199 Speaker 1: or needy, when really just put your humility to the side, 181 00:10:18,240 --> 00:10:21,560 Speaker 1: like you can, you can be honest, like, Hey, I'm 182 00:10:21,720 --> 00:10:23,480 Speaker 1: in a tough spot right now, I could really use 183 00:10:23,520 --> 00:10:25,920 Speaker 1: a referral, and I am being vulnerable and asking you 184 00:10:26,000 --> 00:10:29,240 Speaker 1: for it. And that's a very human thing. I don't 185 00:10:29,240 --> 00:10:31,560 Speaker 1: know why we're so afraid of that, but it's so. 186 00:10:32,120 --> 00:10:34,719 Speaker 1: It's just what it takes today, right, Like you need 187 00:10:34,760 --> 00:10:36,520 Speaker 1: to be willing to put yourself out there and just 188 00:10:36,559 --> 00:10:39,640 Speaker 1: ask for what you need to give yourself a shot 189 00:10:39,880 --> 00:10:42,559 Speaker 1: at this really really challenging job market that we're in. 190 00:10:42,720 --> 00:10:45,800 Speaker 1: Unemployment right now in the US is a steady four 191 00:10:45,800 --> 00:10:50,880 Speaker 1: point two percent. However, nearly three and five people around 192 00:10:50,920 --> 00:10:53,120 Speaker 1: the world say they're planning to look for new jobs 193 00:10:53,120 --> 00:10:55,960 Speaker 1: at twenty twenty five. Like, let that sink in. The 194 00:10:56,000 --> 00:10:58,679 Speaker 1: majority of people are looking for new work in twenty 195 00:10:58,720 --> 00:11:01,199 Speaker 1: twenty five. Those who don't know, I actually have a 196 00:11:01,280 --> 00:11:07,200 Speaker 1: VIP career coaching program cohort. It's very selective. You can 197 00:11:07,240 --> 00:11:09,240 Speaker 1: apply if you go to Mandy money dot com and 198 00:11:09,280 --> 00:11:13,240 Speaker 1: fill it an application. I'm really looking for job applicants 199 00:11:13,280 --> 00:11:16,680 Speaker 1: who can demonstrate by filling out this application that they 200 00:11:16,840 --> 00:11:20,920 Speaker 1: are really committed to getting a new role in twenty 201 00:11:21,000 --> 00:11:24,160 Speaker 1: twenty five, that they are willing to put in that work, 202 00:11:24,800 --> 00:11:27,440 Speaker 1: and that they are looking for someone to really hold 203 00:11:27,480 --> 00:11:29,880 Speaker 1: their hand and walk them through that process. Like I'm 204 00:11:29,920 --> 00:11:32,240 Speaker 1: going to be handing you all the tools and equipment 205 00:11:32,280 --> 00:11:33,840 Speaker 1: but are you actually going to put it to use? 206 00:11:34,280 --> 00:11:36,520 Speaker 1: So if you're interested in that to be a Mandy Money, 207 00:11:36,920 --> 00:11:39,000 Speaker 1: a VIP Mandy money maker, you can go to Mandy 208 00:11:39,040 --> 00:11:42,600 Speaker 1: money dot com and fill it an application. I'd love 209 00:11:42,640 --> 00:11:44,960 Speaker 1: to hear from you. This weekend with one of my 210 00:11:45,080 --> 00:11:50,120 Speaker 1: VIP Mandy money Makers, I spent probably three hours doing 211 00:11:50,320 --> 00:11:54,199 Speaker 1: one of my favorite things, which is trying to track 212 00:11:54,280 --> 00:12:00,839 Speaker 1: down really hard to find hiring managers and related relevant 213 00:12:01,240 --> 00:12:05,800 Speaker 1: co workers of hiring managers for open positions that the 214 00:12:05,800 --> 00:12:07,920 Speaker 1: people that I'm working with are trying to apply for. 215 00:12:08,360 --> 00:12:12,480 Speaker 1: So I have one Mandy money Maker vip who wants 216 00:12:12,480 --> 00:12:17,040 Speaker 1: to stream job. I can't tell you how many people 217 00:12:17,120 --> 00:12:22,640 Speaker 1: apply for jobs at the big brands like Appril, Facebook, Meta, Google, 218 00:12:22,760 --> 00:12:26,040 Speaker 1: Like they are getting hundreds, if not thousands of applications 219 00:12:26,080 --> 00:12:29,200 Speaker 1: for roles. There couldn't be a more challenging job to 220 00:12:29,280 --> 00:12:31,360 Speaker 1: go after than one at one of these huge tech 221 00:12:31,400 --> 00:12:35,320 Speaker 1: companies that everyone wants to work for. And I know 222 00:12:35,400 --> 00:12:37,520 Speaker 1: my VIP maker. She wanted me to spend a lot 223 00:12:37,520 --> 00:12:40,280 Speaker 1: of time with her resume, her and her cover letter 224 00:12:40,320 --> 00:12:43,320 Speaker 1: to start with, And I'm like, I couldn't care less 225 00:12:43,320 --> 00:12:51,360 Speaker 1: about your resume right now? BA fam if you've listened 226 00:12:51,400 --> 00:12:53,319 Speaker 1: to me talk about resumes before, you know, I am 227 00:12:53,400 --> 00:12:54,959 Speaker 1: not the girly you come to when you want me 228 00:12:55,000 --> 00:12:57,640 Speaker 1: to tweak your resume. I am the gurly who wants 229 00:12:57,640 --> 00:13:00,160 Speaker 1: to help you get a job and understands how to 230 00:13:00,240 --> 00:13:04,440 Speaker 1: leverage relationships to get opportunities and not just through a 231 00:13:04,559 --> 00:13:06,719 Speaker 1: piece of paper. All right, let me tell you a 232 00:13:06,720 --> 00:13:09,920 Speaker 1: bit about my process. I'll usually start by going on 233 00:13:09,960 --> 00:13:13,560 Speaker 1: LinkedIn and searching for the job posting, and then I 234 00:13:13,600 --> 00:13:17,320 Speaker 1: will see if anyone from the company has been posting 235 00:13:17,360 --> 00:13:20,840 Speaker 1: about the job. And what you'll find is the hiring 236 00:13:20,880 --> 00:13:24,680 Speaker 1: manager will often share the job listing on their LinkedIn profile. 237 00:13:24,800 --> 00:13:26,600 Speaker 1: So if you search for the job listing and they 238 00:13:26,679 --> 00:13:30,120 Speaker 1: pop up with the hiring manager saying, hey, come join 239 00:13:30,240 --> 00:13:33,480 Speaker 1: my team or I'm hiring, and that's how you know, 240 00:13:34,040 --> 00:13:35,920 Speaker 1: That's how I know I found you. Like, let's say 241 00:13:35,960 --> 00:13:39,839 Speaker 1: their name is Jessica. It's like, Jessica Smith, you're the 242 00:13:39,920 --> 00:13:42,040 Speaker 1: hiring manager for this role. Now I know who I 243 00:13:42,080 --> 00:13:45,720 Speaker 1: need to target. And immediately from there I start talking 244 00:13:45,760 --> 00:13:48,240 Speaker 1: to my client. I'm like, so we're going to create 245 00:13:48,280 --> 00:13:50,960 Speaker 1: an application that's going to make Jessica really excited to 246 00:13:50,960 --> 00:13:53,880 Speaker 1: talk to you. And almost immediately I stop thinking about 247 00:13:54,200 --> 00:13:57,000 Speaker 1: the application tracking system and I think about who am 248 00:13:57,080 --> 00:14:00,200 Speaker 1: I submitting my Who am I submitting this application too? 249 00:14:00,760 --> 00:14:02,960 Speaker 1: And what are they excited about? What are they looking 250 00:14:03,000 --> 00:14:04,839 Speaker 1: for and what's going to make me stand up from 251 00:14:04,840 --> 00:14:07,679 Speaker 1: the pack? And I also want to know what has 252 00:14:07,720 --> 00:14:10,440 Speaker 1: this person said recently about the work that they do 253 00:14:10,480 --> 00:14:12,800 Speaker 1: and what do they think is most important. So once 254 00:14:12,840 --> 00:14:15,880 Speaker 1: I find the hiring manager, usually it'll be through LinkedIn, 255 00:14:17,400 --> 00:14:20,560 Speaker 1: I will search for the name. I'll run it through 256 00:14:20,720 --> 00:14:25,680 Speaker 1: a Google or my my AI bought of choice called Perplexity. 257 00:14:25,920 --> 00:14:27,960 Speaker 1: I'll search for their name and I'll say, has Sowin's 258 00:14:28,000 --> 00:14:32,200 Speaker 1: Has Jessica Smith spoken at any conferences or professional events 259 00:14:32,600 --> 00:14:36,120 Speaker 1: that are publicly available in the past year, And it'll 260 00:14:36,120 --> 00:14:38,200 Speaker 1: pop up and they may have been on a panel, 261 00:14:38,360 --> 00:14:41,480 Speaker 1: They may have been interviewed somewhere, and it could pop 262 00:14:41,640 --> 00:14:44,880 Speaker 1: up with a recording of that panel. It could be 263 00:14:44,920 --> 00:14:49,120 Speaker 1: a podcast interview. You can specifically say has this person 264 00:14:49,240 --> 00:14:52,080 Speaker 1: had any media interviews over the past, you know, over 265 00:14:52,080 --> 00:14:54,600 Speaker 1: the course of their career, and it'll spit out, you know, 266 00:14:54,720 --> 00:14:58,840 Speaker 1: links to maybe some interviews they've given. You'd be really surprised. 267 00:14:58,880 --> 00:15:01,840 Speaker 1: I know, I found some one who was interviewed on 268 00:15:01,880 --> 00:15:04,920 Speaker 1: a newsletter, and in this newsletter they were sharing really 269 00:15:04,920 --> 00:15:08,320 Speaker 1: cool like personal stories of their career and also the 270 00:15:08,360 --> 00:15:10,320 Speaker 1: inner workings of the company. And this was like a 271 00:15:10,360 --> 00:15:13,640 Speaker 1: trade newsletter. So this is something that like it wouldn't 272 00:15:13,680 --> 00:15:17,480 Speaker 1: be super publicly available, you know, to anyone who's just 273 00:15:17,520 --> 00:15:19,480 Speaker 1: like scrolling on the internet. You kind of had to 274 00:15:19,480 --> 00:15:22,520 Speaker 1: go digging to look for it. And because they're giving 275 00:15:22,560 --> 00:15:25,960 Speaker 1: an interview to like a trade publication, it's like inside baseball. 276 00:15:26,040 --> 00:15:29,240 Speaker 1: So they're just they're more they feel more comfortable, more safe, 277 00:15:29,480 --> 00:15:31,880 Speaker 1: so they may drop gems in the interview to tell 278 00:15:31,920 --> 00:15:35,520 Speaker 1: you more about their perspective on their field, but also 279 00:15:35,680 --> 00:15:37,480 Speaker 1: just give you something that you can bring up to 280 00:15:37,520 --> 00:15:40,480 Speaker 1: them when you get that interview and when you're actually 281 00:15:40,520 --> 00:15:43,240 Speaker 1: sitting across from them or you know, virtually or in person. 282 00:15:43,360 --> 00:15:48,840 Speaker 1: Once I have found any recent media interviews, newsletter interviews 283 00:15:48,880 --> 00:15:53,920 Speaker 1: they've been quoted in, I'm looking for their alma mater. 284 00:15:54,200 --> 00:15:56,680 Speaker 1: I'm going to see if they did any panels or 285 00:15:56,880 --> 00:15:59,960 Speaker 1: spoke on any events having to do with their alma mater, 286 00:16:00,360 --> 00:16:04,240 Speaker 1: from undergrad, from grad school, whatever it may be, and 287 00:16:04,560 --> 00:16:07,200 Speaker 1: see if I can. Another thing is see if they've 288 00:16:07,320 --> 00:16:11,800 Speaker 1: left their contact details on any of these other platforms, 289 00:16:11,840 --> 00:16:13,280 Speaker 1: so they may not They're probably not going to have 290 00:16:13,320 --> 00:16:15,560 Speaker 1: their email on their LinkedIn page one hundred percent. And no, 291 00:16:16,040 --> 00:16:17,600 Speaker 1: they may not even have it on there if they 292 00:16:17,600 --> 00:16:21,520 Speaker 1: have a personal website. But the Internet has a way 293 00:16:21,560 --> 00:16:23,520 Speaker 1: of keepings alive, so if they've ever shared it in 294 00:16:23,560 --> 00:16:26,120 Speaker 1: the past, you may be able to come across it 295 00:16:27,120 --> 00:16:30,720 Speaker 1: by doing some googles into past speaking events that they've 296 00:16:30,760 --> 00:16:33,520 Speaker 1: done or past networking events that they have been a 297 00:16:33,520 --> 00:16:37,160 Speaker 1: part of. And from there, I go on YouTube and 298 00:16:37,320 --> 00:16:39,880 Speaker 1: I will search directly on YouTube for the person's name, 299 00:16:40,480 --> 00:16:42,680 Speaker 1: and I'll try it, and I'll also look at their 300 00:16:42,920 --> 00:16:44,880 Speaker 1: This is I'm really telling you guys all my creepy 301 00:16:44,920 --> 00:16:46,840 Speaker 1: stalker seekers, but this is how hard I go for 302 00:16:46,920 --> 00:16:49,840 Speaker 1: my vip bandy money makers. I will go on the 303 00:16:50,200 --> 00:16:53,640 Speaker 1: hiring manager's LinkedIn page, I'll see where else they've worked 304 00:16:53,640 --> 00:16:55,760 Speaker 1: in the past, and I will do the same search, 305 00:16:55,920 --> 00:17:01,280 Speaker 1: but looking for any any speaking engagements, any interviews, any 306 00:17:01,320 --> 00:17:03,640 Speaker 1: events that they had been a part of from past 307 00:17:03,720 --> 00:17:06,240 Speaker 1: roles as well, And chances are if they're at a 308 00:17:06,280 --> 00:17:09,080 Speaker 1: big company like Apple or Google, they've gotten a lot 309 00:17:09,119 --> 00:17:13,120 Speaker 1: more private as they've moved along in their careers because 310 00:17:13,160 --> 00:17:15,280 Speaker 1: you know, they don't want everyone have in their contact details. 311 00:17:15,280 --> 00:17:17,560 Speaker 1: But in the past they may have been a bit 312 00:17:17,600 --> 00:17:20,040 Speaker 1: more loose and they may have let something slip that 313 00:17:20,080 --> 00:17:22,400 Speaker 1: gives me a little bit of a nugget, a little 314 00:17:22,440 --> 00:17:27,400 Speaker 1: piece of a hint, or like a little cookie crumb 315 00:17:27,400 --> 00:17:28,960 Speaker 1: on the trail that I can follow to the next 316 00:17:28,960 --> 00:17:31,640 Speaker 1: cookie crumb. Is it a cookie crumb or a bread crumb? 317 00:17:31,720 --> 00:17:34,440 Speaker 1: Bread crumb, but cookie crumbs are more delicious, So I'll 318 00:17:34,440 --> 00:17:37,280 Speaker 1: go with cookie crumbs, and then I will follow that 319 00:17:37,400 --> 00:17:39,920 Speaker 1: to the next and then hopefully if it doesn't lead 320 00:17:39,960 --> 00:17:43,120 Speaker 1: me to like a direct email, at least what I've 321 00:17:43,160 --> 00:17:46,800 Speaker 1: done in this information gathering stage is given my Mandy 322 00:17:46,800 --> 00:17:50,840 Speaker 1: money maker a lot of good solid information on what 323 00:17:50,880 --> 00:17:53,320 Speaker 1: this person's perspective is, on the work that they're doing, 324 00:17:53,320 --> 00:17:56,840 Speaker 1: what's important to them, what makes them tick. And you're 325 00:17:56,960 --> 00:17:59,200 Speaker 1: going to get a really good sense of someone before 326 00:17:59,240 --> 00:18:02,840 Speaker 1: you sit in an interview with them. Now, knowing the 327 00:18:02,920 --> 00:18:05,919 Speaker 1: hiring manager and other people on the team is great, 328 00:18:06,080 --> 00:18:08,160 Speaker 1: but then how do you actually get an interview? How 329 00:18:08,200 --> 00:18:12,720 Speaker 1: do you get your application scene in a in a 330 00:18:12,880 --> 00:18:15,960 Speaker 1: mountain of thousands, And I'll have to tell you what 331 00:18:16,000 --> 00:18:18,560 Speaker 1: I told my Mandy money Maker, which is that it's 332 00:18:18,600 --> 00:18:21,359 Speaker 1: not just other job applicants from other companies that you're 333 00:18:21,440 --> 00:18:24,360 Speaker 1: up against. You also have to think about the internal applicants. 334 00:18:24,880 --> 00:18:28,520 Speaker 1: These companies are massive, and they're the people who work 335 00:18:28,560 --> 00:18:31,000 Speaker 1: there will stay there for years and years because they're 336 00:18:31,359 --> 00:18:33,800 Speaker 1: you know, very lucrative jobs. They are great places to 337 00:18:33,840 --> 00:18:37,800 Speaker 1: work largely, and those people also have career ambitions and 338 00:18:37,840 --> 00:18:41,479 Speaker 1: they may be gunning for an opportunity that is, you know, 339 00:18:41,520 --> 00:18:44,240 Speaker 1: maybe it's posted widely now, but you don't even know 340 00:18:44,280 --> 00:18:46,960 Speaker 1: what's been happening on the inside. Maybe they've known that 341 00:18:47,040 --> 00:18:49,879 Speaker 1: this job was coming way more way, you know, further 342 00:18:49,920 --> 00:18:52,240 Speaker 1: in advance. Maybe the hiring manager gave them a heads 343 00:18:52,320 --> 00:18:54,560 Speaker 1: up and let them know, hey, put your hat in 344 00:18:54,560 --> 00:18:57,360 Speaker 1: the ring for this opportunity. So you have to think 345 00:18:57,359 --> 00:19:01,439 Speaker 1: about the internal candidates as well, and to that, I 346 00:19:01,440 --> 00:19:03,800 Speaker 1: would say the next best thing to being an internal 347 00:19:03,840 --> 00:19:07,840 Speaker 1: candidate is being someone who's referred by an internal candidate. 348 00:19:08,440 --> 00:19:11,280 Speaker 1: And a lot of y'all will be stuck at this 349 00:19:11,400 --> 00:19:14,120 Speaker 1: stage because you don't have You're gonna check your network 350 00:19:14,160 --> 00:19:16,919 Speaker 1: and realize you don't even have a way in to 351 00:19:17,560 --> 00:19:19,919 Speaker 1: this big company because you don't know anybody who knows 352 00:19:19,960 --> 00:19:23,080 Speaker 1: somebody who knows somebody who knows somebody. You gotta know 353 00:19:23,160 --> 00:19:26,000 Speaker 1: somebody who knows somebody who knows somebody. You got to 354 00:19:26,520 --> 00:19:28,560 Speaker 1: I'm not saying this game is rigged. You're never gonna 355 00:19:28,600 --> 00:19:30,560 Speaker 1: catch me. Sit here and tell y'all that the corporate 356 00:19:30,640 --> 00:19:34,600 Speaker 1: game is rigged and nothing is fair. Everyone's a nippo baby. No. 357 00:19:35,119 --> 00:19:37,520 Speaker 1: I'm here to be a realist with y'all and to 358 00:19:37,600 --> 00:19:40,560 Speaker 1: tell you the truth, which is that human relationships matter. 359 00:19:41,080 --> 00:19:45,359 Speaker 1: They matter matter. Out of all the mandy money makers 360 00:19:45,359 --> 00:19:47,320 Speaker 1: that I work with, the majority of them are getting 361 00:19:47,320 --> 00:19:52,480 Speaker 1: new opportunities because of relationships that they have nurtured for years. 362 00:19:52,640 --> 00:19:55,280 Speaker 1: If you're someone who has been working in a silo, 363 00:19:56,280 --> 00:19:58,679 Speaker 1: who has been, you know, doing good work, showing up, 364 00:19:58,720 --> 00:20:01,600 Speaker 1: clocking in, clocking out, maybe you're cordial enough, but you're 365 00:20:01,600 --> 00:20:04,960 Speaker 1: not really forming connections with people throughout your career. It's 366 00:20:05,000 --> 00:20:08,720 Speaker 1: going to be infinitely more challenging for you to get 367 00:20:09,080 --> 00:20:12,440 Speaker 1: to be seen among all these all the competition that's 368 00:20:12,480 --> 00:20:16,840 Speaker 1: out there, versus someone who has nurtured relationships with people, 369 00:20:17,040 --> 00:20:20,360 Speaker 1: and can I don't know, text a colleague that they 370 00:20:20,400 --> 00:20:23,560 Speaker 1: haven't worked directly with for ten years, but are still 371 00:20:23,560 --> 00:20:26,800 Speaker 1: cordial enough with that this person could just send them 372 00:20:26,840 --> 00:20:29,760 Speaker 1: a text in the morning, and then all of a sudden, 373 00:20:30,400 --> 00:20:33,439 Speaker 1: you have an internal referral to the company of your 374 00:20:33,520 --> 00:20:37,960 Speaker 1: dreams because of someone that I met ten years ago 375 00:20:38,080 --> 00:20:41,440 Speaker 1: and I liked working with, and I maintained that relationship. 376 00:20:41,920 --> 00:20:45,119 Speaker 1: I'm speaking facts right now. That's actually what happened in 377 00:20:45,160 --> 00:20:48,159 Speaker 1: the case of this VIP moneymaker. She and I are talking, 378 00:20:48,240 --> 00:20:51,320 Speaker 1: she wants to work at her dream company. I go 379 00:20:51,440 --> 00:20:53,879 Speaker 1: to my LinkedIn page. I see that I know a 380 00:20:53,920 --> 00:20:56,520 Speaker 1: handful of people who actually work at this company, one 381 00:20:56,560 --> 00:21:00,280 Speaker 1: of whom happens to be someone who I'm really cool with. Actually, 382 00:21:00,280 --> 00:21:03,600 Speaker 1: he called me up when he was interviewing for the 383 00:21:03,680 --> 00:21:07,479 Speaker 1: role to help with the negotiation process, and so I 384 00:21:07,560 --> 00:21:10,000 Speaker 1: reach out to him and yeah, we haven't exchanged a 385 00:21:10,040 --> 00:21:13,879 Speaker 1: message in over a year, but the connection is still there. 386 00:21:14,480 --> 00:21:17,560 Speaker 1: And because I tend to attract people who are just 387 00:21:18,160 --> 00:21:22,040 Speaker 1: really nice and down to earth, he had no problem saying, oh, yeah, 388 00:21:22,080 --> 00:21:23,919 Speaker 1: I'll take a look at that resume. I'll let you know, 389 00:21:24,040 --> 00:21:26,199 Speaker 1: and if I think she'll be a good fit, I'm 390 00:21:26,200 --> 00:21:30,440 Speaker 1: happy to refer her Like boom. You got to have 391 00:21:30,840 --> 00:21:34,720 Speaker 1: these cordial connections. You got to put yourself out there. 392 00:21:34,720 --> 00:21:37,240 Speaker 1: You got to put yourself in the room with other 393 00:21:37,320 --> 00:21:40,320 Speaker 1: people who it may not be apparent to you in 394 00:21:40,359 --> 00:21:45,040 Speaker 1: that moment, you know what potential opportunities may spark from 395 00:21:45,600 --> 00:21:49,159 Speaker 1: this little kindling of a flame of a relationship. But 396 00:21:49,600 --> 00:21:51,560 Speaker 1: the point, that's not the point. The point isn't to 397 00:21:51,560 --> 00:21:54,200 Speaker 1: be able to predict years and years into the future. 398 00:21:54,800 --> 00:21:59,440 Speaker 1: The point is to start nurturing and planting seeds of friendship. 399 00:21:59,680 --> 00:22:02,639 Speaker 1: And don't let it be when you're applying for a 400 00:22:02,760 --> 00:22:05,560 Speaker 1: role that all of a sudden you're reaching out to 401 00:22:05,600 --> 00:22:08,000 Speaker 1: someone cold for the first time in years and years. 402 00:22:09,080 --> 00:22:11,679 Speaker 1: There are some people who that's fine with them, but 403 00:22:11,840 --> 00:22:14,040 Speaker 1: some people may be turned off by that. Setting a 404 00:22:14,080 --> 00:22:17,359 Speaker 1: schedule with yourself, like actually making a list going through 405 00:22:17,400 --> 00:22:20,280 Speaker 1: your LinkedIn, you know, going back to past jobs, seeing 406 00:22:20,280 --> 00:22:22,800 Speaker 1: where former colleagues have ended up and where their careers 407 00:22:22,800 --> 00:22:25,760 Speaker 1: have gone, and making a list of in reminders for yourself, 408 00:22:25,800 --> 00:22:28,840 Speaker 1: like setting a phone reminder or a calendar alert every 409 00:22:29,040 --> 00:22:31,360 Speaker 1: few months, like send so and so a note, ask 410 00:22:31,400 --> 00:22:34,159 Speaker 1: how they're doing, Send so and so a congratulatory message 411 00:22:34,160 --> 00:22:38,240 Speaker 1: on LinkedIn. You know, do something to keep your connections warm. 412 00:22:38,840 --> 00:22:41,320 Speaker 1: It just is going to increase the likelihood that if 413 00:22:41,359 --> 00:22:44,400 Speaker 1: you go to them with a specific ask or I'm 414 00:22:44,400 --> 00:22:46,320 Speaker 1: looking for referral or i'd love if you can put 415 00:22:46,320 --> 00:22:48,560 Speaker 1: in a good word, whatever, that they'll be willing to 416 00:22:48,640 --> 00:22:50,439 Speaker 1: do that for you because you've put in time and 417 00:22:50,560 --> 00:22:52,639 Speaker 1: energy into them and they are not afraid to do 418 00:22:52,680 --> 00:22:56,120 Speaker 1: that for you as well. So invest in those relationships. 419 00:22:56,160 --> 00:22:58,280 Speaker 1: Don't just go to those people when you need something, 420 00:22:58,800 --> 00:23:01,439 Speaker 1: invest in them. Try to bring value and add value 421 00:23:01,440 --> 00:23:03,879 Speaker 1: in whatever way you can. If you're someone you're listening 422 00:23:03,880 --> 00:23:05,560 Speaker 1: to this and you're like, I got nothing to offer? 423 00:23:05,960 --> 00:23:08,560 Speaker 1: What do I have to offer anybody? It's time to 424 00:23:08,640 --> 00:23:11,000 Speaker 1: do some deep thought work into that because I know 425 00:23:11,080 --> 00:23:13,399 Speaker 1: you do, sis, I know we have something to offer. 426 00:23:13,640 --> 00:23:17,400 Speaker 1: Each of us has unique talents and wisdom and insights 427 00:23:17,440 --> 00:23:20,720 Speaker 1: to share. It's just about talking to someone who can 428 00:23:20,800 --> 00:23:24,280 Speaker 1: help you spotlight your talents and the value that you 429 00:23:24,320 --> 00:23:26,600 Speaker 1: have to share. We have a hard time maybe seeing 430 00:23:26,640 --> 00:23:29,880 Speaker 1: it ourselves sometimes, but speak to your friends and people 431 00:23:29,920 --> 00:23:32,879 Speaker 1: who you trust and ask them to talk you through 432 00:23:32,880 --> 00:23:37,200 Speaker 1: what they think your key value and strengths and what 433 00:23:37,240 --> 00:23:40,359 Speaker 1: you add to the people and your peers that are 434 00:23:40,400 --> 00:23:42,680 Speaker 1: around you, and have them start helping you highlight those 435 00:23:42,720 --> 00:23:45,720 Speaker 1: because that will give you the confidence to maybe reach 436 00:23:45,760 --> 00:23:47,800 Speaker 1: out more to these connections because you know you're bringing 437 00:23:47,840 --> 00:23:51,000 Speaker 1: something to the table if all else fails. I know 438 00:23:51,119 --> 00:23:53,840 Speaker 1: I can talk to people about launching a podcast and 439 00:23:53,840 --> 00:23:56,439 Speaker 1: a coaching business, like I can offer that. I can 440 00:23:56,520 --> 00:23:58,800 Speaker 1: talk to people about writing a book and that whole 441 00:23:58,800 --> 00:24:03,160 Speaker 1: process and getting professional speaking gigs and you know, negotiating. 442 00:24:03,280 --> 00:24:05,280 Speaker 1: So those are things that I know I can always 443 00:24:05,359 --> 00:24:08,399 Speaker 1: be of service too. So I'm always happy to offer 444 00:24:08,440 --> 00:24:13,159 Speaker 1: those to peers and context that I have because I 445 00:24:13,240 --> 00:24:16,439 Speaker 1: know it'll add value to them. And it starts to 446 00:24:17,400 --> 00:24:19,880 Speaker 1: like we're talking about if we keep the seed analogy going, 447 00:24:19,880 --> 00:24:22,320 Speaker 1: because you know, I love my garden. If I'm if 448 00:24:22,359 --> 00:24:25,320 Speaker 1: I'm planting those seeds, you know, offering some value is 449 00:24:25,359 --> 00:24:27,640 Speaker 1: like putting adding the water, you know, making sure you're 450 00:24:27,640 --> 00:24:30,920 Speaker 1: watering those seedlings, adding fertilizer when it needs a little 451 00:24:30,960 --> 00:24:34,560 Speaker 1: extra love. Those types of investments of time are really 452 00:24:34,600 --> 00:24:37,399 Speaker 1: really crucial, especially in a job market like this. All right, 453 00:24:37,440 --> 00:24:38,960 Speaker 1: ba Fam, I'm going to take a quick break and 454 00:24:39,000 --> 00:24:41,199 Speaker 1: I'm going to be right back with brown boost or 455 00:24:41,240 --> 00:24:43,480 Speaker 1: brown break stick with me. I will be right back, 456 00:24:49,920 --> 00:24:52,440 Speaker 1: all right, ba fam, I'm back. It's time for brown boost, 457 00:24:52,480 --> 00:24:57,760 Speaker 1: brown break. I shouldn't have to tell y'all what I'm 458 00:24:57,760 --> 00:24:59,639 Speaker 1: going to break this week, because yes, your girl is 459 00:24:59,640 --> 00:25:04,320 Speaker 1: going to I am not just breaking. I'm calling for 460 00:25:04,400 --> 00:25:07,760 Speaker 1: the immediate resignation of whoever was in charge of my girl, 461 00:25:07,800 --> 00:25:12,399 Speaker 1: Beyonce's hydraulics and her her bungee cord or whatever the 462 00:25:12,440 --> 00:25:14,880 Speaker 1: hell was keeping that car about her Houston concert, because 463 00:25:14,920 --> 00:25:17,720 Speaker 1: tell me why you had our queen dangling by a 464 00:25:17,760 --> 00:25:21,320 Speaker 1: thread on this fake car. Tell me why, tell me why? 465 00:25:22,119 --> 00:25:24,439 Speaker 1: So me and I'm sure Blue Ivy will co sign this, 466 00:25:24,480 --> 00:25:26,879 Speaker 1: we want the immediate dismissal, removal of this person or 467 00:25:26,920 --> 00:25:31,400 Speaker 1: person's responsible, because you are not capable of protecting our queen. 468 00:25:32,680 --> 00:25:34,640 Speaker 1: I am so glad that my brother, when he sent 469 00:25:34,680 --> 00:25:37,399 Speaker 1: me that text, he prefaced it by saying, Beyonce's okay, 470 00:25:37,720 --> 00:25:40,160 Speaker 1: because like, we can't. I can't. I can't, I can't. 471 00:25:40,160 --> 00:25:41,240 Speaker 1: I don't even want to think about it. I don't 472 00:25:41,240 --> 00:25:43,440 Speaker 1: want to think about it. We've lost too many greats. 473 00:25:43,800 --> 00:25:46,400 Speaker 1: She's the greatest performer of our general, of a generation, 474 00:25:46,480 --> 00:25:49,440 Speaker 1: of my generation. And I was just sweet, We're not ready. 475 00:25:49,440 --> 00:25:52,000 Speaker 1: We're not ready for that, okay, so I'm going to 476 00:25:52,080 --> 00:25:54,160 Speaker 1: take a break for people who who have a bad 477 00:25:54,200 --> 00:25:56,400 Speaker 1: day on the job that could cause someone their life. 478 00:25:56,440 --> 00:26:00,480 Speaker 1: And I just want to wish Beyonce, why and we 479 00:26:00,560 --> 00:26:03,159 Speaker 1: love you so much and you were so incredible and brave. 480 00:26:03,800 --> 00:26:06,920 Speaker 1: And I know, one of the cutest things that she 481 00:26:07,040 --> 00:26:10,000 Speaker 1: said after this whole situation, you know, they fix the 482 00:26:10,040 --> 00:26:12,560 Speaker 1: car or they lower the car, and she comes back 483 00:26:12,600 --> 00:26:15,439 Speaker 1: on stage to finish her song, and one of the 484 00:26:15,480 --> 00:26:18,920 Speaker 1: cutest things is that she's like, I know, Bee, I've 485 00:26:18,920 --> 00:26:21,719 Speaker 1: got me. Y'all would have caught me. And it was 486 00:26:21,760 --> 00:26:25,440 Speaker 1: just such a sweet moment because she is right. Everyone 487 00:26:25,440 --> 00:26:28,120 Speaker 1: would have laid down their bodies to catch her. Everyone 488 00:26:28,320 --> 00:26:30,399 Speaker 1: there's no way to her feet, her hair on her 489 00:26:30,440 --> 00:26:32,320 Speaker 1: head would touch that ground. She would have been okay, 490 00:26:33,600 --> 00:26:37,240 Speaker 1: But yeah, it was really scary, And I just hope that, yeah, 491 00:26:37,240 --> 00:26:39,840 Speaker 1: I hope that she wasn't shaken up too much by 492 00:26:39,880 --> 00:26:43,360 Speaker 1: it and that her kiddos are okay, because that must 493 00:26:43,359 --> 00:26:44,879 Speaker 1: have been really scared. If it was scary for me, 494 00:26:45,520 --> 00:26:47,160 Speaker 1: I never met this woman a day in her life 495 00:26:47,240 --> 00:26:49,080 Speaker 1: or mine. If it was scary for me, I know 496 00:26:49,160 --> 00:26:53,200 Speaker 1: it was terrifying for her. Her closest loved ones so 497 00:26:53,240 --> 00:26:56,320 Speaker 1: my heart goes out to them, and that's gonna be 498 00:26:56,400 --> 00:26:58,960 Speaker 1: a wrap, be a fam. Thank you for joining me. 499 00:26:59,160 --> 00:27:02,920 Speaker 1: Thank you for listening to my solo Brown Table. Let 500 00:27:02,960 --> 00:27:05,480 Speaker 1: me know how y'all felt about it. Do we like this? 501 00:27:05,560 --> 00:27:07,479 Speaker 1: Should I keep doing more of these? I kind of 502 00:27:07,520 --> 00:27:09,800 Speaker 1: like them both. I don't know what it says about 503 00:27:09,800 --> 00:27:11,560 Speaker 1: me that I don't mind just sitting here and talking 504 00:27:11,600 --> 00:27:14,320 Speaker 1: to myself for an hour, like literally just talking to 505 00:27:14,359 --> 00:27:18,560 Speaker 1: myself with my dog in the corner, being like, girl, 506 00:27:18,560 --> 00:27:20,439 Speaker 1: can you be quiet so I can just get a nap. 507 00:27:21,119 --> 00:27:23,480 Speaker 1: But I'm so grateful to y'all. Be a fan. Thank 508 00:27:23,520 --> 00:27:25,959 Speaker 1: you for supporting the show. Don't forget to leave a review, 509 00:27:26,600 --> 00:27:30,360 Speaker 1: like subscribe. Check us out on social media. I am 510 00:27:30,440 --> 00:27:33,240 Speaker 1: at Mandy Money and also the podcast is at Brown 511 00:27:33,240 --> 00:27:36,960 Speaker 1: Ambition Podcast on ichen, TikTok and all the places on 512 00:27:37,080 --> 00:27:41,240 Speaker 1: LinkedIn to Now. If you are in the job search 513 00:27:41,280 --> 00:27:44,040 Speaker 1: process and you have questions you want to leave a 514 00:27:44,119 --> 00:27:46,320 Speaker 1: question for the show, you can email me directly Brand 515 00:27:46,320 --> 00:27:49,040 Speaker 1: Ambition Podcast at gmail dot com, or you can slide 516 00:27:49,040 --> 00:27:52,159 Speaker 1: into my dms. I am at Brand Ambition Podcast on 517 00:27:52,320 --> 00:27:55,280 Speaker 1: ig and Yes, I read each and every letter and 518 00:27:55,359 --> 00:27:58,760 Speaker 1: I love them all. Thank y'all again, take care of 519 00:27:58,800 --> 00:28:01,240 Speaker 1: you well and we'll see you Friday for the Baqa. 520 00:28:01,760 --> 00:28:05,280 Speaker 1: Oh and don't forget Wash Day woo Saw. Wash Day 521 00:28:05,359 --> 00:28:08,159 Speaker 1: Woosa is now a thing. We had our first wash 522 00:28:08,200 --> 00:28:11,399 Speaker 1: Day Wusaw this past Sunday with Doctor Riquel Martin. I 523 00:28:11,440 --> 00:28:13,639 Speaker 1: got such good feedback on that episode, and we have 524 00:28:13,680 --> 00:28:16,720 Speaker 1: a really good one coming up for y'all this coming Sunday. 525 00:28:16,840 --> 00:28:19,720 Speaker 1: So make it a part of your wash day routine 526 00:28:20,200 --> 00:28:23,119 Speaker 1: to listen to Brown Ambition while you are getting your 527 00:28:23,119 --> 00:28:25,920 Speaker 1: life together, just pouring back into yourself at the end 528 00:28:25,920 --> 00:28:28,680 Speaker 1: of a long week, getting prepared for the week to come. 529 00:28:29,359 --> 00:28:35,280 Speaker 1: I'm be sharing some really inspirational and inspirational and like 530 00:28:35,280 --> 00:28:38,640 Speaker 1: a warm hug of a conversation with some really incredible 531 00:28:38,680 --> 00:28:42,400 Speaker 1: women that are gracing this show with their presence and 532 00:28:42,440 --> 00:28:45,840 Speaker 1: pouring into us. So I'm very excited about that. Check 533 00:28:45,840 --> 00:28:48,880 Speaker 1: out your wash Day Woosaw with Brown Ambition every Sunday, 534 00:28:49,520 --> 00:28:52,000 Speaker 1: check in Wednesdays for the Brown Table, where we do 535 00:28:52,240 --> 00:28:55,640 Speaker 1: the latest headlines at the intersection of money, culture, career, 536 00:28:56,160 --> 00:28:58,720 Speaker 1: and then Friday for the Baqa, where we take your 537 00:28:58,800 --> 00:29:01,120 Speaker 1: questions and answer them on the show. And with that, 538 00:29:01,240 --> 00:29:04,360 Speaker 1: I will say goodbye again. I'm Mandy Widard santos Aka, 539 00:29:04,480 --> 00:29:07,400 Speaker 1: Mandy Money. Thank you so much, BA fan, sending all 540 00:29:07,480 --> 00:29:08,560 Speaker 1: lots of love, Be well,