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From Code to Careers: AI's Disruption of Software and Work Itself
In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub dive into the fast-evolving world of generative AI—and what it means for the future of software development, careers, and the economy at large.
They unpack how tools like GPT-4o and Claude are shifting the very nature of programming work, boosting productivity while raising deeper questions about the future of white-collar jobs. From the rise of AI-assisted coding to ethical concerns around climate impact and military use, Scott and Brad cover the technical, social, and philosophical stakes of this moment.
They also explore whether a future with fewer human coders could spark bigger societal changes—like universal basic income—and make the case for why adaptability, critical thinking, and a willingness to learn new tools are the keys to surviving (and thriving) in this new AI-powered landscape.
- 00:00 Introduction and Greetings
- 00:27 Discussing AI and Augmented Programming
- 03:20 AI's Impact on Productivity and Society
- 04:23 Climate Impact and Future Concerns
- 05:01 AI in Healthcare and Other Applications
- 08:08 The Future of Software Development
- 15:40 Generative AI and Personal Projects
- 24:59 Advice for the Next Generation
- 27:46 The Challenge of Staying Current
- 28:33 Specialization vs. Generalization
- 28:47 The Role of AI in Specialized Jobs
- 30:20 Navigating the Rapid Tech Changes
- 31:31 Optimizing AI Collaboration
- 33:19 Understanding the Cynefin Framework
- 35:01 Complex vs. Complicated Systems
- 39:46 AI's Impact on Software Engineering
- 41:55 The Future of QA and Testing
- 44:33 Preparing for an AI-Driven Future
- 49:27 The Debate on Universal Basic Income
- 51:29 Concluding Thoughts and Ethical Questions
- 52:26 Outro and Credits
Resources:
- How Many CTOs Pod: https://howmanyctospod.com
- Scott Porad: https://www.linkedin.com/in/scottporad/
- Brad Hefta-Gaub: https://www.linkedin.com/in/bradheftagaub/
- Why using ChatGPT is not bad for the environment - a cheat sheet: https://andymasley.substack.com/p/a-cheat-sheet-for-conversations-about
- Cynefin Framework: https://en.wikipedia.org/wiki/Cynefin_framework
#TechPodcast #EngineeringPodcast #DevTalks #PodcastForDevs #HowManyCtos #Podcast #Ctos #CtoPodcast #Technology #Engineering #SoftwareDevelopment #Entrepreneurship #Leadership #Management #EngineeringLeadership #TechnologyLeadership #EngineeringManagement #GenAI #AIRevolution #AIEngineer #BuildWithAI #GenerativeAI #StartupTech #ClaudeAI #GPT4o #OpenAI #AIProductivity #LLMTools #AIEngineering #FutureOfWork #AgenticAI #AIAgents #AIInStartups #CTOInsights #SoftwareDevelopment #AIUpdate #TechStrategy #FastMovingTech
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By Brad Hefta-Gaub & Scott PoradIn this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub dive into the fast-evolving world of generative AI—and what it means for the future of software development, careers, and the economy at large.
They unpack how tools like GPT-4o and Claude are shifting the very nature of programming work, boosting productivity while raising deeper questions about the future of white-collar jobs. From the rise of AI-assisted coding to ethical concerns around climate impact and military use, Scott and Brad cover the technical, social, and philosophical stakes of this moment.
They also explore whether a future with fewer human coders could spark bigger societal changes—like universal basic income—and make the case for why adaptability, critical thinking, and a willingness to learn new tools are the keys to surviving (and thriving) in this new AI-powered landscape.
- 00:00 Introduction and Greetings
- 00:27 Discussing AI and Augmented Programming
- 03:20 AI's Impact on Productivity and Society
- 04:23 Climate Impact and Future Concerns
- 05:01 AI in Healthcare and Other Applications
- 08:08 The Future of Software Development
- 15:40 Generative AI and Personal Projects
- 24:59 Advice for the Next Generation
- 27:46 The Challenge of Staying Current
- 28:33 Specialization vs. Generalization
- 28:47 The Role of AI in Specialized Jobs
- 30:20 Navigating the Rapid Tech Changes
- 31:31 Optimizing AI Collaboration
- 33:19 Understanding the Cynefin Framework
- 35:01 Complex vs. Complicated Systems
- 39:46 AI's Impact on Software Engineering
- 41:55 The Future of QA and Testing
- 44:33 Preparing for an AI-Driven Future
- 49:27 The Debate on Universal Basic Income
- 51:29 Concluding Thoughts and Ethical Questions
- 52:26 Outro and Credits
Resources:
- How Many CTOs Pod: https://howmanyctospod.com
- Scott Porad: https://www.linkedin.com/in/scottporad/
- Brad Hefta-Gaub: https://www.linkedin.com/in/bradheftagaub/
- Why using ChatGPT is not bad for the environment - a cheat sheet: https://andymasley.substack.com/p/a-cheat-sheet-for-conversations-about
- Cynefin Framework: https://en.wikipedia.org/wiki/Cynefin_framework
#TechPodcast #EngineeringPodcast #DevTalks #PodcastForDevs #HowManyCtos #Podcast #Ctos #CtoPodcast #Technology #Engineering #SoftwareDevelopment #Entrepreneurship #Leadership #Management #EngineeringLeadership #TechnologyLeadership #EngineeringManagement #GenAI #AIRevolution #AIEngineer #BuildWithAI #GenerativeAI #StartupTech #ClaudeAI #GPT4o #OpenAI #AIProductivity #LLMTools #AIEngineering #FutureOfWork #AgenticAI #AIAgents #AIInStartups #CTOInsights #SoftwareDevelopment #AIUpdate #TechStrategy #FastMovingTech