WEBVTT

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You know that feeling. You spend hours crafting,

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I don't know, 50 resumes. You tailor every single

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one. You check the grammar. You cram in all the

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right keywords. And then you send them out into

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the void. And you get nothing back. Just silence.

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Yeah. It's this incredibly painful feeling, right?

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Like the whole system is just rejecting you.

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It is brutal. And if you're feeling that, you

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are absolutely not imagining it. We dug into

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the source material for this. Reports from McKinsey,

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the World Economic Forum. And the numbers are,

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frankly, A little shocking. Even graduates from

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places like Arver Business School are struggling.

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The data shows something like 23 % of them didn't

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have a job secured right away. So the old rules,

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they're just dead. So if the people who did everything

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right are hitting this wall, what does that mean

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for the rest of us? Welcome to the Deep Dive.

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Our mission today is to unpack what is really

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going on and build a clear, actionable roadmap

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for you in this new AI era. Yeah, we're going

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to break it down into three key parts. First,

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we have to understand the two big forces that

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actually broke the job market. You know, why

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are successful companies not hiring? OK. Second,

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we'll define that skills gap you hear about.

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What are the things companies are actually desperate

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for right now? And then the most important part

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will give you the solution. A four step plan

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complete with the exact AI tools and prompts

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you can use to become what they call plug and

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play. This is all about taking back control.

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Let's start there. The foundational problem.

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Why are these huge successful companies freezing

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hiring or even during layoffs? The first force

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seems pretty simple. Everything just costs too

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much money. That's it. Exactly. You feel it at

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the grocery store, but businesses feel it everywhere.

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Their rent is up, their software licenses are

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more expensive, supplies. Everything is spiking.

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And when costs go up, leadership gets very conservative.

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They just stop taking risks. And hiring a new

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person is a huge risk, financially speaking.

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It's not just the salary you see on the job post.

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Not at all. They had to factor in the laptop,

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the software, insurance, and maybe six months

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of pay before that person is even fully up to

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speed. Precisely. They're running those numbers.

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And with so much uncertainty out there, they're

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cutting costs now, just in case. That's why we

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saw all those layoffs in Big Tech and on Wall

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Street. Those companies weren't failing. They

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were just getting lean. They were getting lean,

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preparing for a storm, even if it's not raining

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yet. Which brings us to the second force. And

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this one feels a little weird. I think you called

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it the AI paradox. Yeah. This is where it gets

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really interesting. Because... Everyone is talking

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about how powerful AI is, but the research shows

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most companies have no idea how to use it yet.

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A McKinsey report said only about 1 % of companies

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have AI fully integrated and working perfectly.

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1%. So if 99 % of them haven't figured it out,

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why is it causing so much disruption? Shouldn't

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they be hiring more people to solve that? You'd

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think so, but it's all about fear and expectation.

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A CEO looks at a tool like ChatGPT or Claude

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and thinks, okay, why would I hire a junior writer

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for 80 grand a year when in six months, AI might

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do 80 % of that work for like... 20 bucks a month.

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That uncertainty is the real killer. It is. The

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idea of what AI will become is enough to make

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them just freeze all hiring for those kinds of

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entry level or support roles. They're just waiting,

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waiting for the tech to settle down. So with

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those two pressures, high costs and this sort

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of technological fear, does that mean companies

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are just refusing to hire anyone that needs to

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be taught? Yes. Tight money means no training

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budget. They demand day one job competence. Day

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one job competence. Okay. That brings us right

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to this idea of the skills gap. It's this infuriating

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situation, right? You have thousands of people

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looking for work and at the same time you have

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employers complaining, we can't find anyone to

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hire. The gap is because the old model is gone.

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It used to be that a company would hire a new

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grad and plan on training them for six months.

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But with money so tight, they just won't do that

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anymore. A degree is fine, but if you don't have

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the specific skills they need today, they'll

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just leave the position empty. Which is wild!

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So we need to know what those skills are. The

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World Economic Forum's Future of Jobs report

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was really clear on this. And the first one isn't

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just about, you know, being a hardcore programmer.

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It's AI and big data literacy. It's more about

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knowing how to work with data. Exactly. Can you

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look at a giant messy spreadsheet and pull a

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story out of it? Can you use an AI tool to summarize

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a thousand customer reviews into three key takeaways?

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It's about being a force multiplier, using the

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tech to work faster and smarter. The second skill

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feels less technical and more about just surviving

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in this kind of market. Oh, absolutely. It's

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resilience and flexibility. The soft skills are

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the hard currency now. I mean, business plans

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change overnight. Companies need people who don't

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freak out when the entire strategy shifts on

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a Monday morning. They want proof that you can

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adapt. And that you can bounce back from a failure

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without needing your handheld. And that third

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skill, the sources say, this is maybe the most

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important one for a long career. Lifelong learning.

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The old way of doing things. You go to school

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once. You use that knowledge for 40 years. That's

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just over. The tools we use change every six

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months. I mean, I still wrestle with prompt drift

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myself. Can you explain what prompt drift is

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for anyone who hasn't heard that term? Yeah,

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it's simple but frustrating. It's when you have

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a prompt that works perfectly in, say, chat GPT.

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You get great results. Then a month later, you

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use that exact same prompt and the output is

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suddenly... Worse, or just different, the AI

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model itself changed underneath you. Wow. And

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so you have to constantly be learning how to

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work with the new version of the tool. Companies

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need to see that you can teach yourself without

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being told. So in this environment, is that kind

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of adaptability actually more valuable than,

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say, a static four -year degree? Adaptability

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is vital. Self -teaching ability outweighs a

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static four -year degree now. OK, that pivots

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us perfectly to the solution. We get the problem.

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Money's tight, AI is confusing, companies want

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people who are ready to go now. So how do we

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become that plug and play person? This is the

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action plan. And it all starts with the hardest

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part, which is changing your mindset. Step one,

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fix your mindset. You call this the owner mentality.

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Right. You have to stop thinking of yourself

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as a passive job seeker, just waiting to get

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picked. You have to think like a small business

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owner. The old way is asking, what do I have

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to do? The new way is asking, how can I add value

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to this company's bottom line right now? You

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stop asking for a job and you start offering

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solutions. And when you think that way, step

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two, the freelance first strategy makes a lot

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of sense. A full time job is a huge risk for

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a company, but a small freelance project. It's

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super low risk for them, and it's high reward

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for you. They can try you out on one specific

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project for one week. If it works, great. If

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not, no big deal. But for you, you get real experience

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on your resume. You're not unemployed. You're

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a consultant. But what about the risk for the

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person? You know, losing stability benefits that

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kind of thing. That's a totally fair point. The

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benefits piece is real. But what we're seeing

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is this strategy often leads directly to a full

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-time offer, way faster than just applying online.

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You do one great project, the hiring manager

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already knows and trusts you. They often just

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say, hey, this is working. Do you want to stay

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on full -time? It shortcuts the whole process.

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Okay, so let's get into the specific tools that

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make this all work. The free AI tools. I think

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you said most people are using them all wrong.

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Totally wrong. You need to treat AI less like

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Google and more like a really strict but very

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effective coach. Okay, tool one. chat GPT or

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Claude. You're saying don't just ask it to write

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a cover letter. Use the interview simulator prompt.

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Yes, tell it. You are a skeptical hiring manager.

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I'm a junior analyst. Ask me three really tough

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questions and then score my answers from 1 to

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10 on clarity and confidence. That kind of practice

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is invaluable. And for the cover letter, there's

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a specific prompt for that, too. The cover letter

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creator prompt. You paste in the job description,

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you paste in your resume, and you tell the AI

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to write a letter that focuses only on how your

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skills solve the problems listed in their job

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ad. No fluff. Just pure value. OK. Next up is

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tool two. Teal. This one is for beating the robot

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gatekeepers. Yeah, the applicant tracking systems,

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the ATS. That software reads your resume before

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any human does. It's just looking for keywords.

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If you don't have enough of the right ones, you're

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out. Instantly. Teal helps you optimize your

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resume against the job description so you get

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a high match score and actually make it to a

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person. And finally, tool three. Perplexity AI

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for interview prep. How is this better than just

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Googling the company? Because it synthesizes

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information, Google gives you a list of links

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you have to sort through. Perplexity gives you

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the answer. You can ask it to summarize the company's

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biggest challenges, its main competitors, and

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its latest news all in a few clear paragraphs.

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Whoa. Just imagine walking into an interview

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with that. A custom intelligence report on their

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biggest problems sitting right in front of you.

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That's... That's an incredible advantage that

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just didn't exist a couple of years ago. It changes

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everything. OK, so that brings us to the last

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two steps of the plan. Step three, build a portfolio.

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It's all about show, don't tell. Exactly. A degree

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is paper. A portfolio is proof. It proves you

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can actually do the work. And look, if you don't

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have clients, just make up a project. Redesign

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the Spotify homepage. Write five marketing emails

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for a new Nike launch. Document your process.

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That is ten times more powerful than a bullet

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point on a resume. And that portfolio is what

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makes Step 4, the cold outreach method, possible.

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Because the best jobs aren't always posted online.

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They're almost never posted. So you find someone

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at a company you admire. You send them a short

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note. compliment a specific project they worked

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on, briefly mention your skills, and share a

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link to your portfolio. And this is the key,

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do not ask for a job, just connect. The conversation

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is what creates the opportunity later on. So

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for someone who is starting from absolute zero,

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what's the first move? Building the portfolio

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or shifting the mindset? Mindset is foundational,

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but the portfolio is the proof that enables cold

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outreach success. So to pull this all together,

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The job market is tough. It's expensive for companies,

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it's moving incredibly fast, and it is brutally

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competitive. If you're feeling exhausted sending

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out those applications, that's a completely normal

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response. It is. But the big opportunity here

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is for people who decide to be active instead

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of reactive. The people who are getting hired

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right now aren't always the ones with the fanciest

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degrees. They're the builders. They're the ones

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learning the new tools, the ones who refuse to

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wait for permission, and who create their own

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momentum with actual concrete work. You have

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access to everything you need. You've got the

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internet. You have these incredible free tools

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like ChatGPC, Teal, complexity, the knowledge

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is there to start building your own path. You

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really do have to choose your own way forward.

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So what's the first small action you'll take

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today? Right now. Will you try that interview

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simulator prompt? Or maybe just run your current

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resume through Teal against a job you're interested

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in. That one small step is all it takes to start

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building that momentum.
