Podcast thumbnail for Career Stories

Career Stories

Claim This Podcast

by The Career Library

25 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇦🇺

Podcast Overview

The podcast that shares other people's career stories, to help you with yours. Career Stories is a podcast for people who want a better working life. Hosted by Dr Luella Forbes - consultant, researcher and founder of The Career Library. Each episode features an honest conversation with a leader, entrepreneur or expert about the real story behind their career: the transitions, the setbacks, the decisions that didn't go to plan, and the lessons that shaped where they ended up. Every month, Luella is joined by Associate Professor Michelle Gander (Murdoch Business School), an experienced leader and specialist in career development and organisational careers, to unpack the themes from that month's episodes and offer practical, evidence-based advice. Whether you're navigating a career crossroads, leading through change, or simply trying to build a working life that fits — Career Stories gives you the real picture, from people who've been there. Topics include: leadership, organisational change, career development, women at work, management, workplace culture, career transitions, and what it really takes to build a meaningful career.

Language

🇺🇲

Publishing Since

2/2/2026

2 verified contact emails on file for Career Stories

Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.

Recent Episodes

Episode thumbnail for Critical Thinking in the age of AI - Bethan Winn

July 14, 2026

Critical Thinking in the age of AI - Bethan Winn

<p><strong><br></strong>"AI is like the smartest grad who's never left the library. They've got no life experience... you need to check what they're doing, particularly if you're going to put your name to it."  Bethan Winn</p><p>Bethan Winn is a critical thinking specialist, speaker and author of The Human Edge: Critical Thinking in the Age of AI, and through her business Human Skills Co she helps organisations figure out where the technology earns its keep and where it just gets in the way.</p><p><br>In this episode, Luella and Bethan talk through what happens when businesses let AI answer for them (and what it costs them when it gets it wrong), why offloading your "backstage" thinking work can quietly wear down your onstage skills, and a career that ran from Oxfam to a London classroom to building her own critical thinking practice from a Facebook post, prompted in part by a health scare that made the "someday" feel a lot more urgent.</p><p><strong><br>Timestamps<br></strong><br></p><p><br>00:05:33 - When AI answers for you: A quoted price, an "AI autobot," and why one bad automated reply was enough to lose a client for good.</p><p><br>00:10:39 - Outsourcing the thinking, not just the task: Catching herself two hours deep in a Claude chat for something that should've taken fifteen minutes.</p><p><br>00:14:09 - The patchwork trap: Why chunking everything into AI prompts can quietly replace the thinking it was supposed to support.</p><p><br>00:17:22 - An accidental expertise: How a university program she almost turned down turned into a career built on making dense, academic thinking make sense to anyone.</p><p><br>00:25:56 - Why listing your credentials doesn't build trust: The three things people actually judge you on, and why showing beats telling.</p><p><br>00:38:24 - The health scare that changed the timeline: A breast cancer scan turned "someday I'll go out on my own" into now.</p><p><br></p><p><strong><br>Resources mentioned:<br></strong><br></p><p><a href="https://www.amazon.co.uk/Human-Edge-Critical-Thinking-Age/dp/1763890805"><br>● The Human Edge: Critical Thinking in the Age of AI by Bethan Winn<br></a><br></p><p><br></p><p><br>New episodes on a Wednesday, with interviews with leaders or experts every week and a monthly discussion episode at the end of the month.</p><p><br>We would love to hear from you. Share your thoughts on recent episodes or questions you would like Luella and Michelle to answer to stories@the-career-library.com.</p><p><br>Support this podcast by becoming a member and get access to bonus episodes containing work related advice from Luella, Michelle and expert guests as well as a monthly newsletter with access to tools and guidance from this week's advice episode.</p><p><a href="http://www.the-career-library.com/join"><br>Join here<br></a><br></p><p><strong><br>Connect &amp; Subscribe</strong></p><p>Subscribe to Career Stories wherever you get your <a href="https://pod.link/1873863711/episode/MzNhYTVhMGUtZmZkOS00N2Q2LTljMWYtZDY0OTc3YzE2OWY3?view=apps&amp;sort=popularity">podcasts. <br></a><br></p><p><br>Follow Career Stories on<a href="https://www.instagram.com/careerstoriespodcast/"> Instagram</a>, YouTube, and <a href="https://www.linkedin.com/showcase/111863112">LinkedIn.</a></p><p><br></p><p><br><strong>Career Stories is brought to you by </strong><a href="https://www.the-career-library.com"><strong>The Career Library</strong></a><strong>.</strong></p>

Episode thumbnail for Implementing AI is harder than you think - Matt Dunn

July 7, 2026

Implementing AI is harder than you think - Matt Dunn

<p><strong><br>"Your gut is normally right, but you should back it up with some research as well."</strong> - Matt Dunn</p><p><br>New AI tool, same old anxiety: am I using this properly, or badly, or barely at all? </p><p><br>Matt Dunn has spent the past decade in the middle of exactly that problem. He started thinking seriously about automation more than ten years ago and has since moved into AI, now leading AI Programs at Quantum, an IT consulting firm, where he's personally trained over 4,000 people on what AI can actually do.</p><p><br>In this episode, Luella and Matt talk through why Automation implementations have traditionally struggled and how AI might change that, how to use AI to actually get better at your job instead of just faster, and a career focussed on working smarter, not just harder, that took him from a default commerce degree to coding a startup in his lunch break.</p><p><br><strong>Timestamps</strong></p><p><br>00:06:59 -  Challenges of AI implementation: The biggest misconception isn't the technology, it's how uncomfortable people feel changing the way they already work.</p><p><br>00:10:37 - Using AI to get better at what you do:  A simple habit that turns AI from a shortcut into something that actually improves your performance.</p><p><br>00:15:00 - An accidental career journey:  From wanting to be a dentist to a commerce and technology degree, chosen almost by accident.</p><p><br>00:19:19 - Turning down more money to follow his gut: Choosing people over pay, and the sister's advice that's stuck with him ever since.</p><p><br>00:27:27 - The automation imperative:  How a dinner conversation about robots turned into betting on automation before anyone else was.</p><p><br>00:30:05 - Automation work finally paying off: Why a technology that should have taken off a decade ago is only just catching up, thanks to generative AI.</p><p><br>Resources mentioned:</p><p><br><a href="https://www.youtube.com/hardfork">● Hard Fork podcast<br></a><a href="https://www.superhuman.ai/"> ● Superhuman newsletter<br></a><br></p><p><br>New episodes on a Wednesday, with interviews with leaders or experts every week and a monthly discussion episode at the end of the month.</p><p><br>We would love to hear from you. Share your thoughts on recent episodes or questions you would like Luella and Michelle to answer to stories@the-career-library.com.</p><p><br>Support this podcast by becoming a member and get access to bonus episodes containing work related advice from Luella, Michelle and expert guests as well as a monthly newsletter with access to tools and guidance from this week's advice episode.</p><p><a href="http://www.the-career-library.com/join"><br>Join here<br></a><br></p><p><strong><br>Connect &amp; Subscribe</strong></p><p>Subscribe to Career Stories wherever you get your <a href="https://pod.link/1873863711/episode/MzNhYTVhMGUtZmZkOS00N2Q2LTljMWYtZDY0OTc3YzE2OWY3?view=apps&amp;sort=popularity">podcasts. <br></a><br></p><p>Follow Career Stories on<a href="https://www.instagram.com/careerstoriespodcast/"> Instagram</a>, YouTube, and <a href="https://www.linkedin.com/showcase/111863112">LinkedIn.<br></a><br></p><p><br>Career Stories is brought to you by The Career Library.</p><p><br></p><p><br><strong>Career Stories is brought to you by </strong><a href="https://www.the-career-library.com"><strong>The Career Library</strong></a><strong>.</strong></p>

Episode thumbnail for Leading AI at One of Australia's Biggest Super Funds - Mythili Baker

June 30, 2026

Leading AI at One of Australia's Biggest Super Funds - Mythili Baker

<p><br>"Ultimately, humans are always going to be accountable - you can't put that on AI." - Mythili Baker</p><p><br>Every few weeks, the AI conversation resets again - a new model, a new headline, a new reason to wonder whether the skills you've built still count. For people working inside large, regulated organisations, the question isn't abstract: it's showing up in budgets, headcount, and what "good work" even looks like now.</p><p><br>Mythili Baker has spent the last year answering that question for real. As Head of Data &amp; AI at Aware Super - Australia's third-largest super fund - she's responsible for how one of the country's biggest pools of retirement savings uses AI safely, while leading the human side of that change. Before this, she spent 18 years at data and AI consultancy Altus, helping it grow from 17 people to 150.</p><p><br>In this episode, Luella and Mythili talk through what AI might change at work (and what it doesn't), the skill that matters more than ever right now, and the career instinct - saying yes, even when it's uncomfortable - that took her from a default degree choice to leading AI strategy for millions of members' retirement savings.</p><p><strong><br>Timestamps</strong></p><p>00:07:38 - AI Won't Fix Bad Judgement: The biggest AI challenge isn't the tool - it's adoption, change, and learning to sense-check what it gives you.</p><p><br>00:09:31 - When AI Gets It Wrong (Confidently): Why AI can be confidently incorrect, and what it takes to catch it - including knowing when your own expertise should override it.</p><p><br>00:14:01 - Building a Team for an AI World: What Mythili looks for in her team now, and why curiosity and attitude matter more than technical skill alone.</p><p><br>00:15:23 - From wanting to travel the world as a kid to a "default" commerce degree that solved the problem. </p><p><br>00:19:35 - 18 Years at One Company: Growing alongside data and AI consultancy Altus from 17 people to 150, and the real opportunities that came with staying.</p><p><br>00:20:53 - Saying Yes to the Uncomfortable Move: Why comfort became the warning sign, and what finally pushed her into her current role at Aware Super.</p><p><strong><br>Resources mentioned:<br></strong><br></p><ul><li>Lean In by Sheryl Sandberg: https://www.penguin.com.au/books/lean-in-9780753541647<p></p></li></ul><p><br>New episodes on a Wednesday, with interviews with leaders or experts every week and a monthly discussion episode at the end of the month.</p><p><br>We would love to hear from you. Share your thoughts on recent episodes or questions you would like Luella and Michelle to answer to stories@the-career-library.com.</p><p><br>Support this podcast by becoming a member and get access to bonus episodes containing work related advice from Luella, Michelle and expert guests as well as a monthly newsletter with access to tools and guidance from this week's advice episode.</p><p><a href="http://www.the-career-library.com/join"><br>Join here<br></a><br></p><p><strong><br>Connect &amp; Subscribe</strong></p><p>Subscibe to Career Stories wherever you get your <a href="https://pod.link/1873863711/episode/MzNhYTVhMGUtZmZkOS00N2Q2LTljMWYtZDY0OTc3YzE2OWY3?view=apps&amp;sort=popularity">podcasts. <br></a><br></p><p>Follow Career Stories on<a href="https://www.instagram.com/careerstoriespodcast/"> Instagram</a>, YouTube, and <a href="https://www.linkedin.com/showcase/111863112">LinkedIn.<br></a><br></p><p><br>Career Stories is brought to you by The Career Library.</p><p><br></p>

25 total episodes available

Deep-dive analytics for Career Stories

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Career Stories?

The podcast that shares other people's career stories, to help you with yours. Career Stories is a podcast for people who want a better working life. Hosted by Dr Luella Forbes - consultant, researcher and founder of The Career Library. Each episode features an honest conversation with a leader, entrepreneur or expert about the real story behind their career: the transitions, the setbacks, the decisions that didn't go to plan, and the lessons that shaped where they ended up.

Every month, Luella is joined by Associate Professor Michelle Gander (Murdoch Business School), an experienced leader and specialist in career development and organisational careers, to unpack the themes from that month's episodes and offer practical, evidence-based advice. Whether you're navigating a career crossroads, leading through change, or simply trying to build a working life that fits — Career Stories gives you the real picture, from people who've been there.

Topics include: leadership, organisational change, career development, women at work, management, workplace culture, career transitions, and what it really takes to build a meaningful career.

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.