AI for Everyone

Episode 43: AI Readiness Bridging Relevant Learning and Work Today

The bridge between learning and earning is crumbling, and it’s costing the economy over a trillion dollars a year in lost potential. In this episode, we break down the latest AI Readiness report from Pearson and AWS to understand the "Degree Paradox"—the reality that formal education is becoming more essential, not less, as AI automates away the traditional entry-level stepping stones. We move beyond the hype of prompt engineering to discuss the shrinking three-year half-life of technical skills and why applied experience has become the only currency that matters in a high-stakes workforce. It is time to stop being a passive user of these tools and start becoming a strategic operator of your own career.

Episode 42: AI in Education: Google's Head of Education on the Essential Role of the Teacher in AI Education

In this episode, we break down a pivotal perspective from Ben Gomes, Google’s Head of Learning, as featured in a recent Forbes article by Dan Fitzpatrick. While the tech industry is in a dead heat to build the ultimate digital tutor, Gomes argues that AI can only solve the mechanics of learning—it cannot spark the motivation that makes a student want to engage in the first place. We explore why AI should be viewed as an accelerator rather than the ignition, the rising stakes of the "5% problem" in educational equity, and how reclaiming teacher time from administrative burnout is the only way to protect the human spark. It is time to stop looking at AI as a replacement for the classroom and start seeing it as a tool that serves the most sacred part of education: the relationship that tells a student they matter.

Episode 41: UPDATE: Learning with the Google Education Workspace

Brett Hanson navigates the 2026 Google Education ecosystem, where AI shifts from luxury to utility for teachers, parents, and homeschoolers. Learn how to manage the critical October 2026 storage deadline, leverage NotebookLM for active learning, and utilize new AI-optimized hardware—all while centering on human connection and data privacy.

Epiosode 40: The Algorithmic Mirror: Why AI Hiring is Often a Reflection of the Past & What We Can Do

In this episode, we tackle a critical report published March 30, 2026, by Warden AI titled "What Is Algorithmic Bias in Hiring?" because, honestly, the myth of the "neutral machine" is often just a mask for automating our past mistakes. With 85% of resumes now filtered by AI recruitment algorithms before a human ever sees them, the stakes for your career have never been higher. We’re breaking down how these systems actually work so you can move from being a passive target of the "Black Box" to an "Ethical Skeptic" who knows how to keep the Human-in-the-Loop. Join us as we explore how to protect your professional future from being defined by outdated data.

Episode 39: A Major Report on How People are Actually Using AI

In this episode, we examine the "AI Fluency Index," a February 2026 research report from Anthropic that analyzes nearly ten thousand real-world conversations to reveal how we actually interact with artificial intelligence. We confront the "Polish Paradox"—the dangerous tendency to stop fact-checking and questioning AI simply because its output looks professional and authoritative. By exploring the gaps in how we iterate, steer, and manage the "context wall" of our digital conversations, this discussion challenges everyday users to move past passive consumption. Explore how to reclaim your technological agency by mastering the habit of ethical skepticism and treating AI as a collaborative partner rather than a high-speed vending machine.

Episode 38: New Season - 3: Exploring AI Issues for Everyone: Trust, Control, and the Future

In this episode, we examine the "AI Paradox" based on the primary source, "The Reluctant Revolution: Why We’re Inviting AI Into Our Hospitals but Barring It From Our Hearts." We look at current data showing that exactly half of Americans are now more concerned than excited about AI’s role in daily life, while the "true believers" have dwindled to just 10%. We break down why the public trusts AI as a clinical technician—with 44% believing it will improve medical outcomes—but recoils from it in education and job performance.

Episode 37: SURPRISE! A Midsummer Night's Dream in Brussels

Please enjoy this surprise from my AP Literature students. We did use a little AI (in editing), but this is mostly a good old fashioned radio play of A Midsummer Night's Dream by William Shakespeare, but with a Southern Door twist. The fictional WBRU radio station in 1940 broadcasts the play during a storm. We hope you enjoy our Southern Door County "Belgian" twist and the play itself.

Episode 36: 2026 AI Fluency Lesson 14 The New Human-In-The-Loop Theory

In this lesson, we explore the shifting landscape of 2026, where "perfect" has become the baseline and, consequently, the most forgettable thing you can be. We discuss the "AI equilibrium"—a state where cinematic lighting and flawless grammar are no longer competitive advantages but mere background noise. The episode redefines Human in the Loop (HITL) from a technical safety net to a luxury status symbol. We break down the practical workflows of the modern professional, focusing on how to transition from a passive consumer of AI output to a strategic director. By examining the 8% accuracy gap between machine-only and human-guided results, we highlight where the "soul" of work resides. We also introduce the 70/20/10 content diet and the "Sandwich Method" to help you maintain your human signature in a world drowning in high-definition slop.

Episode 35: 2026 AI Fluency Lesson 13: Understanding and Managing AI Hallucinations

In this session, we tackle the "Paradox of Modern AI": systems built to sound incredibly intelligent (fluent) before they were built to be reliably truthful. We explore the cognitive architecture behind why AI lies, the specific taxonomy of hallucinations, and the "Epistemic Hygiene" toolkit you need to move from a passive consumer to an active verifier.

Episode 34: 2026 AI Fluency 12: The AI Work Reshuffle

In this episode, our avatar hosts explore the "Great Reshuffle"—a period of massive structural rearrangement in the global workforce. We move beyond the "Skynet" headlines to examine the actual economic mechanics of AI: how it differs from the Industrial Revolution, why it might actually reduce wage inequality, and how you can transition from a "laborer" to a "Super Agent."