Career Blueprint

Feeling a little overwhelmed by all the talk about AI and the future of work? You’re not alone. That’s exactly why I created Career Blueprint—a podcast where we cut through the tech buzz and get real about what’s actually changing in our careers.Here, we talk about the ways AI and new technologies are already shaping the workplace—and, more importantly, how you can use these changes to your advantage. Each episode is packed with straightforward tips, relatable stories, and clear strategies to help you feel confident, whether you’re launching your career, switching lanes, or trying to stay ahead in your current role.Imagine having a guide who breaks down complex ideas into simple steps, making sure you’re always in the loop about skills, tools, and mindsets that actually matter. That’s what you’ll find here! We’ll explore real-life stories from different industries, dig into upskilling (without the jargon), and build a blueprint for success—together.Ready to take charge of your profe

Career Blueprint is a technology podcast hosted by RNCN, with 21 episodes on record and a Required Pod Score of 80.

RNCN hosts Career Blueprint, a technology show with 21 episodes published.

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  Career Blueprint

  The Quarter-Life Crisis Is a Real Thing (And You’re Not Behind)

  Sep 29, 202625 min

  There is a specific kind of panic that can hit in your 20s: everyone else seems to have it figured out, and you feel behind. In this episode, Carrie and Brittany unpack the quarter-life crisis as a transition problem - moving from the highly structured world of school into adult life, where the path, feedback, rewards, and timeline suddenly stop being obvious. The episode cites a 2017 LinkedIn study and a 2025 Cambridge study as evidence that this feeling is common, then turns the anxiety into something practical. Instead of chasing a fake universal timeline, the conversation reframes your current job as an experiment and gives you a structure for learning your own skills, interests, and values. The point is not to have a forever plan. It is to collect enough honest data about yourself to make the next decision with confidence. What you'll take away: Why the move from school to work can trigger a quarter-life crisis: the structure, constant feedback, and clear next steps disappear Why comparing your career, relationships, money, or milestones to other people creates a timeline that was never real in the first place How to treat your current job as an experiment instead of proof that you picked your forever career How to identify your skills, interests, and values by reflecting on what gives you energy, what drains you, and what matters most right now Why building your own structure can reduce the feeling of drifting - and give you a practical path forward even when your values change A quarter-life crisis does not have to end with a dramatic reinvention. It can be the moment you stop following somebody else's timeline and start gathering data for your own. Follow All That Said with Carey O’Connor on Social Media: Facebook: / all-that-said-with-carey-oconnor-615796177... Instagram: / allthatsaidwithcareyoconnor

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  Career Blueprint

  Ask for a Raise (Even in a Weird Economy)

  Sep 15, 202629 min

  Asking for a raise can feel personal, but the approval process is not. In this episode, Carrie and Brittany break down what actually happens behind the scenes when compensation changes: manager budgets, HR salary bands, market data, job titles, timing, and the case you have to make for the value you bring. It is built for anyone who knows they are ready for more money but is not sure how to ask without handing a manager an easy no. You will hear why cost-of-living arguments rarely move the decision, how to research the right market range, when a title change can strengthen your case, how to use AI to pressure-test your job title, and what to do if the answer is still no. The through-line: know your value, make the business case, and treat the conversation as a negotiation grounded in evidence - not your bills. What you'll take away: Why 'my cost of living went up' is a weak raise argument - and what a real business case sounds like instead How timing, company finances, expanded responsibilities, and HR budgets affect whether a raise is likely to get approved Why the right job title matters to compensation, and how to compare your actual duties with roles on Indeed, Monster, and LinkedIn How to research a realistic salary range using market compensation data, including geography, industry, company size, and job title How to prepare for a no: ask for the reason, build a roadmap with your manager, check the outside market, and revisit once the underlying circumstances have changed The goal is not to walk in with the boldest number. It is to make it easy for your manager and HR to see why paying you more is a rational business decision. Follow All That Said with Carey O’Connor on Social Media: Facebook: [ Link ] Instagram: [ Link ]

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  Career Blueprint

  What Employers Actually Want in 2026 (It’s Not Your Degree)

  Sep 1, 202623 min

  You have the degree. You have the GPA. So why aren’t employers calling you back? Because the hiring market has changed, and what got you in the door five years ago is no longer enough. In 2026, employers are prioritizing demonstrated skills over diplomas, and most job seekers have no idea how to position themselves for this shift. Carey O’Connor breaks down the rise of skills-based hiring and what it actually means for your job search. Around 44% of jobs in the U.S. still require a college degree, and in fields like healthcare and finance, that number is much higher. So the degree still matters. But employers have moved past using it as the primary signal for who gets hired. They want to know you can do the job on day one. They want proof you’ve solved real problems. And AI is turbocharging this shift by flooding employers with more applications than ever, forcing them to filter for substance over credentials. Here’s what you’ll learn in this episode: Why the college degree became 'table stakes' and what employers replaced it with as their primary screening tool The five skills every employer screens for in 2026 — communication, problem solving, initiative, adaptability, and digital literacy How to translate any job (barista, camp counselor, babysitter) into skills language on a resume using real examples Why asking questions at work signals intelligence, not ignorance — and how to reframe your fear of speaking up How to use AI to help phrase your resume skills without overstating or losing authenticity This is the practical playbook for standing out when the rules have been rewritten. If you’re sending out applications and hearing nothing back... the problem might not be your qualifications. It might be how you’re presenting them. Don’t risk being invisible in a crowded applicant pool. Learn what employers are actually looking for and how to show them you have it. Subscribe and turn on notifications so you never miss an episode.

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  Career Blueprint

  How Fortune 500 Companies Are Actually Using AI

  Aug 25, 202619 min

  Every headline says AI is replacing workers. But what are Fortune 500 companies actually doing with AI right now? The answer might surprise you. Most major corporations are still running small pilot projects in limited areas of their business, and the gap between what tech companies are doing and what the rest of the economy looks like is enormous. Carey O’Connor breaks down the real state of AI adoption across industries, using data from Deloitte, Accenture, and Gallup’s workplace research. Because the AI conversation has been dominated by Silicon Valley headlines that don’t reflect how healthcare systems, logistics companies, insurance firms, and retailers are actually operating. Companies like Home Depot, UnitedHealth Group, and FedEx each employ around 500,000 people. Their AI timelines look nothing like a software startup’s. Here’s what you’ll learn in this episode: Why the AI layoff wave is concentrated in tech companies — and what that means for every other industry The Accenture and Deloitte data on where Fortune 500 companies actually are in the AI adoption curve The two-question test to assess whether AI can realistically do your job right now Why large companies can't just 'flip a switch' on AI — and the financial and customer risk that slows them down How the generational opt-out already happening among Boomers and Gen Xers is quietly opening doors for Gen Z This is not an episode that tells you AI isn’t coming. It is. But the pace, the scope, and the impact look wildly different depending on where you work. If you’re making career decisions based on tech industry headlines... you might be solving for the wrong problem. Don’t risk building your career strategy on panic. Learn what’s actually happening and where the real opportunities are. Subscribe and turn on notifications so you never miss an episode.

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  Career Blueprint

  Should You Help AI Learn Your Job?

  Aug 18, 202617 min

  Every time you use an AI tool at work, you might be teaching it how to do your job. Should you be worried? The biggest unspoken tension in the modern workplace is not whether AI will replace jobs. It’s whether you’re actively helping it replace yours... right now, today, with every prompt you write and every workflow you hand over. Carey O’Connor breaks down the real difference between working alongside AI and quietly training your own replacement. Because there’s a growing ecosystem of companies paying workers to train AI models through a process called reinforcement learning from human feedback. These companies have scraped all the publicly available text on the internet and hit what experts call a "data wall." Now they need your industry-specific knowledge to get better. And they’re willing to pay for it... sometimes. But the gig economy version of this is only half the story. The other half is happening inside your company right now. Enterprise AI tools are capturing how you work, what you write, and how you solve problems. The question nobody is asking out loud: at what point does your employer own your proprietary knowledge of how you do your job? Here’s what you’ll learn in this episode: What AI training gig jobs actually involve — and why the boring work teaches you something invaluable about how AI thinks What Microsoft Copilot and enterprise AI tools are actually monitoring — and what they're not (yet) Why refusing to use AI tools at work is more likely to cost you your job than AI itself is What the law currently says about employee privacy and AI surveillance — and why the regulations are lagging badly The three things to do right now to use AI tools confidently without compromising your data or your position This is not an episode about rejecting AI or refusing to use it. It’s about understanding the exchange you’re making every time you interact with it. If you’re using AI tools at work and you haven’t thought about what you’re giving in return... don’t wait until the answer surprises you. Subscribe and turn on notifications so you never miss an episode.

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