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The Courageous Choice

The Courageous Choice

Written by: 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 Careers Economics Management Management & Leadership Personal Success
Episodes
  • The Courage Behind a Deep Tech Breakthrough
    Oct 13 2026
    Why are AI data centers using so much power, and could computers move data with light instead of electricity? In this episode, scientist, inventor and entrepreneur Dr. Raj Dutt talks about more than two decades of work in integrated photonics. His technology replaces copper wiring with light to move information faster, with less energy and in smaller systems. He covers the path from a childhood in India, and a family connection to Satyendra Nath Bose of Bose-Einstein fame, to defense research for DARPA and the Joint Strike Fighter. He also shares what it costs personally to stay with a breakthrough that arrived before the market was ready for it. Listeners will learn how the energy problem behind AI developed, why systems thinking matters more than solving one isolated problem, how leaders can build teams that ask better questions, and why AI is more likely to move people up the value chain than replace them. Key Takeaways Copper wiring between chips creates resistance and heat. Photonics uses light to move data with far less energy. How the photonic system discussed cut power, latency and size by about a factor of 20 each compared with the systems available at the time. AI data centers may need two to three times today's US power generation, so energy efficiency has become a national priority. Breakthroughs usually come as a chain of problems. Solving the chip leads to solving the manufacturing equipment behind it. Systems thinking, which Dr. Dutt calls a system of systems, produces bigger results than improving one process. Deep tech entrepreneurship takes years of sacrifice, personal financial risk and the belief that the science will hold up. Money alone does not keep top talent. Challenging work and shared ownership do. Good leaders invite disagreement, avoid surrounding themselves with yes people, and treat every idea as worth hearing. AI will change jobs but will not replace human judgment. People move up the value chain as machines handle repetitive trial and error. Questioning assumptions can lead to unexpected discoveries, such as detectors that turned out to work at quantum temperatures. Timestamps 00:55 Welcome and introduction 03:07 Growing up in India and early education 05:54 Family ties to Bose-Einstein physics 09:46 Coming to America with eight dollars 11:58 From scientist to entrepreneur 17:16 Seeing the limits of Moore's Law early 20:05 How photonics cuts AI energy use 24:54 The real cost of entrepreneurship 32:15 Will AI replace human workers 45:02 Motivating talent beyond money Connect with Dr. Raj Dutt https://www.linkedin.com/in/birendra-dutt-3122761/https://www.linkedin.com/company/apic-corp 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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    58 mins
  • Stop Managing Performance. Start Enabling It.
    Sep 29 2026
    Why do so many performance reviews leave everyone frustrated? Edie Goldberg, President and Founder of E. L. Goldberg & Associates, returns to The Courageous Choice to talk about her new book, Performance Enablement (Oxford University Press). She makes the case against traditional performance management, a system she says was hijacked by compensation and built on the wrong assumptions about what motivates people. Key Takeaways Performance management was hijacked by compensation. It became a tool to decide pay, not to improve performance. People are far more intrinsically than extrinsically motivated, and tying work to extrinsic rewards can take the joy out of it. Managing performance means measuring it at year end. Enabling performance means giving people feedback, tools, training, and coaching along the way. Specific, challenging goals outperform easy or absent goals, but only if people discuss progress regularly. In one large dataset, only 4% of employees looked at their goals during the year. Set-and-forget goals can't motivate anyone. Only 21% of employees say they get meaningful feedback, and more frequent bad feedback doesn't help. Task-based, future-focused feedforward beats personal, evaluative feedback. Managers are trained to be critical, but a positive focus produces better outcomes. Companies with a strong performance feedback culture outperform others on every financial measure studied. People are more than their job descriptions. Internal mobility unlocks hidden capability, and AI curiosity inside your own ranks is a live example. Have the courage to stop practices that no longer serve you. Design for the 99%, and use performance improvement plans for the rare real issues. Timestamps 0:00 – Intro 5:17 – "Performance management was hijacked by compensation" 7:19 – Why extrinsic rewards take the joy out of work 11:59 – Managing vs. enabling performance 15:54 – The undisputed research on goal setting 23:00 – Only 21% of employees get meaningful feedback 26:16 – Feedforward, not feedback 32:46 – Only 4% of employees ever accessed their goals 40:06 – The courage to stop what's not working 44:03 – Edie's own courageous choice Connect with Edie Goldberg Edie on LinkedIn E. L. Goldberg & Associates on LinkedIn Thanks for listening to "The Courageous Choice." Leave us a review and subscribe so you don't miss any conversations. For more information, visit gigtalentagency.com or email podcast@gigtalentagency.com. #StartupCulture #OrganizationalTransformation #StrategicLeadership
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    48 mins
  • Leading Change When the Data Is Clear
    Sep 15 2026
    What stops an organization from making a change that the data clearly supports? In this conversation, an organizational research scientist from USC's Center for Effective Organizations explains why large companies struggle to act on solid evidence, why leadership turnover derails long-term change efforts, and how AI is beginning to reshape knowledge work, business processes, and cross-functional collaboration. Listeners will learn what actually makes change hard in complex organizations, why big consulting firms often fail to solve the real problem, how a well-designed compensation pilot at a consumer products company succeeded and was still shut down, and what leaders and individuals should do now to prepare for AI in their roles. Key Takeaways Most workplace challenges are not new. The hard part is applying known principles to your specific company, culture, and context. Once an organization is too large to manage by walking around, it needs real processes, and then complexity rises sharply. There is rarely one right answer in organization design. Every choice, such as centralized versus decentralized, carries trade-offs that pull you the other way. Hiring a big consulting firm feels safe for leaders, but it often delivers expensive advice that does not solve the underlying problem. Even when a pilot produces unequivocal data, new leaders may lack the appetite or courage to act on it, especially when it involves changing pay. Leadership turnover is a major risk to long-term change because sponsors move on before results arrive. Paying salespeople on volume rather than growth removes the incentive to grow routes or take on difficult territories. AI will change the work of most knowledge workers but is unlikely to eliminate most jobs outside specific roles like software programming and translation. AI lets people get to a "not bad" answer outside their expertise, which will reshape cross-functional workflows and reduce waiting on other departments. Designing a change is the easy part. Sustaining rigor, sensing in real time, testing assumptions, and adjusting is what makes change succeed. Timestamps 00:33 Introduction and guest background 02:32 The Center for Effective Organizations and its externally funded research model 04:54 Is the world really changing faster, or is change always hard? 10:01 Why hiring big consulting firms rarely solves the problem 13:32 Case study: redesigning route sales compensation at a consumer products company 21:47 Why leaders shut down a successful pilot despite clear data 25:32 What AI means for your job and career right now 30:04 How AI will reshape cross-functional work and business processes 34:41 What organizations are for and why that does not change with AI 36:51 Test and adjust: why sensing and feedback loops make or break change Connect with Alec Levensonhttps://www.linkedin.com/in/alec-levenson-8915475/ 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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    40 mins
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