Episode 36 — AI and Employment — Jobs Lost, Jobs Created

Episode 36 — AI and Employment — Jobs Lost, Jobs Created

Author: Jason Edwards September 10, 2025 Duration: 30:23

AI is reshaping the workplace as profoundly as earlier industrial revolutions. This episode begins by exploring the jobs most vulnerable to automation, including roles in manufacturing, logistics, and clerical work, where routine tasks can be replicated by machines. It also highlights categories of work less likely to be displaced, such as roles requiring creativity, empathy, and complex judgment. At the same time, AI is creating new opportunities in data science, machine learning engineering, ethics and governance, and AI-focused project management.

We examine both the risks and the opportunities in detail. Productivity gains from AI adoption may fuel economic growth, but without proactive policy and corporate responsibility, these gains may exacerbate inequality. Case studies from healthcare, retail, and finance show how AI changes not just the number of jobs but the skills they require. Education systems and workforce development programs are increasingly focused on reskilling workers, while governments debate proposals like universal basic income or expanded social safety nets. By the end, listeners will see employment and AI as a complex relationship: one where jobs are lost, jobs are created, and nearly all jobs are transformed. Produced by BareMetalCyber.com, where you’ll find more cyber prepcasts, books, and information to strengthen your certification path.


Jason Edwards hosts Certified-Introduction to AI Audio Course, an educational series crafted for anyone curious about how artificial intelligence actually works. This isn't a collection of abstract lectures or speculative futurism; it's a structured, audio-first curriculum that builds a practical foundation. You'll find a clear path through the core concepts that make machines learn, reason, and make decisions, moving from fundamental principles to their tangible effects in the world. The approach is deliberate and cumulative-every episode connects to the next, ensuring that whether you're a student, a working professional, or considering a new career direction, you're never left behind. The content demystifies the terminology and the technology, focusing on comprehension over hype. By engaging with this podcast, you participate in a logical progression designed to build genuine competency. The discussions prioritize clarity and real-world context, exploring both the potential and the current limitations of AI systems. It’s a focused auditory learning experience for those who prefer to learn by listening and who want a substantive, organized introduction to a defining technology of our time. The entire series serves as a comprehensive audio guide, meeting you at your current level of knowledge and systematically expanding it.
Author: Language: English Episodes: 49

Certified - Introduction to AI Audio Course
Podcast Episodes
Episode 18 — Data Collection and Preparation for AI [not-audio_url] [/not-audio_url]

Duration: 33:04
Data is not just fuel for AI; it must be carefully gathered, cleaned, and prepared to produce reliable results. This episode breaks down the full lifecycle of data preparation, from collection through preprocessing. You’…
Episode 17 — Robotics — AI in the Physical World [not-audio_url] [/not-audio_url]

Duration: 29:39
While much of AI lives in code and data, robotics brings intelligence into the physical world. This episode examines how robots integrate sensing, reasoning, and action. We begin with perception technologies such as came…
Episode 16 — Speech Recognition and Generation [not-audio_url] [/not-audio_url]

Duration: 28:27
Speech is one of the most natural ways humans communicate, and AI systems are increasingly able to listen and respond. This episode covers speech recognition, the conversion of audio into text, and speech generation, the…
Episode 15 — Computer Vision — Teaching Machines to See [not-audio_url] [/not-audio_url]

Duration: 28:29
The ability to process visual information has been a defining achievement for AI. In this episode, we explore how computer vision allows machines to interpret and analyze images and video. We start with early techniques…
Episode 13 — Deep Learning — Modern Architectures [not-audio_url] [/not-audio_url]

Duration: 28:56
Deep learning represents the cutting edge of neural networks, pushing performance far beyond earlier methods. In this episode, we define deep learning as networks with many layers capable of learning hierarchical feature…
Episode 12 — Neural Networks — From Neurons to Layers [not-audio_url] [/not-audio_url]

Duration: 28:35
Artificial neural networks are inspired by the structure of the human brain but simplified into mathematical models that drive today’s most powerful AI systems. In this episode, we begin with the perceptron, an early mod…
Episode 10 — Probability and Decision Making Under Uncertainty [not-audio_url] [/not-audio_url]

Duration: 25:11
Real-world decisions are rarely black and white, and AI systems must navigate uncertainty just as humans do. This episode explores how probability theory underpins reasoning when outcomes are incomplete, noisy, or ambigu…
Episode 9 — Logic and Reasoning Systems [not-audio_url] [/not-audio_url]

Duration: 25:47
Reasoning has always been at the heart of intelligence, and in this episode we focus on how AI systems use logic to derive conclusions. Starting with propositional and predicate logic, we’ll explain how knowledge can be…