『The Courageous Choice』のカバーアート

The Courageous Choice

The Courageous Choice

著者: WRKdefined Podcast Network
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Every breakthrough begins with a decision — a moment of hesitation followed by a leap. “The Courageous Choice” is the podcast that explores those defining moments when leaders, entrepreneurs, changemakers, and individuals bet on themselves, defy expectations, and step into the unknown. Hosted by Jamie Jacobs, founder and CEO of Gig Talent, each episode explores bold career moves and industry-shaping innovations. We dive into the risks, the resilience, and the rewards that come with making the courageous choice.All rights reserved by WRKdefined マネジメント マネジメント・リーダーシップ 出世 就職活動 経済学
エピソード
  • How To Drive Real Organizational Transformation
    2026/06/19
    This conversation breaks down why so many AI and automation investments fail inside organizations, and what to do instead. The core idea: companies keep layering new tools on top of processes they don't actually understand end to end, which leads to wasted spend, poor workforce planning, and avoidable layoffs. You'll learn how to audit the technology you already own, measure usage on a much faster cadence, and redesign work so that systems support people rather than create friction. The discussion also covers how HR can lead enterprise-wide transformation, why human judgment still matters most, and how to get started with AI without fear, even if you're later in your career. Key Takeaways Most AI failures come from adding automation on top of processes no one fully understands. Layoffs are often evidence of poor planning rooted in misreading how disruptive technology will be. Start by maximizing the tech you already bought before purchasing anything new. Measure tool usage monthly or weekly, not on 12 to 36 month contract cycles. Employees often work outside the system because the tool creates friction instead of leverage. For every dollar spent on technology, organizations may spend seven to eight on wraparound work. High performers with AI are far more likely to fully rearchitect processes, not just bolt AI on. Workflows are usually built for clean cases, while real work is mostly edge cases and exceptions. Psychological safety is essential, or people hide how they actually get work done. Don't fear AI; block short, regular time to experiment and you can multiply your impact. Timestamps 0:36 Meet the guest and Vendi 0:57 A career across HR and tech 1:45 Layoffs and their real root causes 3:53 Why AI investments keep failing 8:08 Optionality instead of working around tools 9:00 ROI versus compliance spending 13:07 McKinsey study on rearchitecting processes 14:20 How Vendi works and the 30 day sprint 19:00 Protecting PII and sensitive data 22:37 One wish: start with AI, drop the fear Connect with Dave Foley https://www.linkedin.com/in/davefoley1 Thanks for listening to The Courageous Choice. Be sure to leave us a review and subscribe so you don't miss any conversations. For more information, visit
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    24 分
  • Get Comfortable Being Uncomfortable: Leading Through AI Transformation
    2026/06/03
    This episode breaks down why so many organizations struggle to adopt AI and manage change, and what leaders can actually do about it. You will learn why readiness matters more than enthusiasm, why AI adoption cannot be measured like traditional software, how to get genuine buy-in before launching a transformation, and why copying another company's culture almost always backfires. It is a candid conversation about leadership, honesty, ego, incentives, and getting comfortable operating in constant uncertainty. Key Takeaways Feedback only works when the other person is genuinely ready to receive it. Real change management is continuous learning, not a project with a start, middle, and end. AI adoption cannot be tracked with the same usage metrics as traditional SaaS tools. Time spent experimenting with AI is valuable even when nothing ships, because it builds skill and reduces fear. Most startups and partnerships fail because of ego, not strategy. Asking partners "what am I doing that bothers you" surfaces problems you never knew existed. Leaders should create a vision, then get buy-in before adding detail. Marketing and sales hype run years ahead of what organizations can realistically absorb. You get what you incentivize, so fund the ideas and behaviors you actually want. Copying another company's culture ignores the unique context that made it work. Timestamps 0:50 Why being liked was never the goal 1:07 Why feedback fails when people aren't ready 4:10 A transformation rollout that actually worked 7:31 Why AI adoption breaks traditional metrics 9:30 Why a startup is like a band 11:59 The question every partner should ask 16:18 Get buy-in before adding detail 17:18 Why hype runs years ahead of reality 21:54 Why copying culture never works 30:54 You get what you incentivize 32:58 What scares him most right now 35:19 Getting comfortable being uncomfortable Connect with William Tincup https://www.linkedin.com/in/tincup Thanks for listening to “The Courageous Choice.” Be sure to leave us a review and subscribe so you don’t miss any conversations. For more information, visit gigtalentagency.com or email us at podcast@gigtalentagency.com if you have any questions. #StartupCulture #OrganizationalTransformation #StrategicLeadership
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    37 分
  • Leading in the Age of AI: Embracing Dual Transformation
    2026/05/20
    Most companies treat AI as a cost-cutting tool, but the real competitive advantage comes from using it to create new products, services, and capabilities. In this conversation, Pedro Arellano, founder of Wallabi, explains the framework of dual transformation and why business leaders who only optimize existing processes will fall behind. In this episode, you will learn why AI transformation is not a technology project, how to build the data foundation that makes AI actually work, why expertise becomes more valuable in the age of AI, and how leaders across every function can take ownership of the transformation. Whether you lead a legacy organization or a growing company, this discussion provides a practical lens for prioritizing AI investments and bringing your team along on the journey. Key Takeaways Dual transformation means pursuing efficiency and innovation simultaneously, not choosing one. Type A transformation (efficiency) is table stakes; Type B (growth and innovation) creates market separation. Leading companies are three times more likely to use AI for innovation, not just cost cutting. AI transformation is not a technology project; people, culture, and process come first. A strong data foundation is required for AI to deliver real results. Garbage in, garbage out. AI literacy is becoming as essential as knowing how to use email or a computer. Expertise does not disappear with AI; expertise makes AI output significantly better. Leaders cannot delegate AI ownership solely to IT. Every executive function plays a role. The electric motor analogy shows transformation requires rethinking organizations, not just swapping tools. Leadership choices, not the technology itself, decide whether AI shrinks or grows the workforce. Timestamps 00:31 Meet the guest and topic introduction 00:57 From Silicon Valley to founding Wallaby 01:37 The ChatGPT moment that changed everything 01:58 Why data foundation matters more than AI 03:24 Introducing dual transformation 03:59 Type A versus Type B transformation 05:25 Why efficiency alone is not enough 06:00 Legacy companies versus AI-first competitors 06:12 AI transformation is not an IT project 08:04 The electric motor and organizational change 14:18 Why expertise matters more in the age of AI 16:39 Augmenting people versus replacing them 18:36 Shared ownership across the leadership team Connect with Pedro: https://www.linkedin.com/in/pedroarellano/ Thanks for listening to “The Courageous Choice.” Be sure to leave us a review and subscribe so you don’t miss any conversations. For more information, visit gigtalentagency.com or email us at podcast@gigtalentagency.com if you have any questions. #StartupCulture #OrganizationalTransformation #StrategicLeadership
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    21 分
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