AI for Everyone

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.

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.

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.

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.

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.

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.

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.

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.

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.

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."

We often talk about AI as if it’s a weather pattern—something that just happens to us. But today, we pull back the curtain on the "Invisible Architecture." This isn't just about faster emails; it’s about who gets a house, who gets a job, and who gets a fair shake in the 2026 economy. In this episode, we move beyond the "cool tool" phase and into the "Deep Water" of ethics and equity. From the shocking data on mortgage bias to the global race for "Sovereign AI," We break down why AI literacy is the greatest civil rights tool of our century. If you think AI is neutral, this episode is your wake-up call.

We’ve spent the last nine lessons opening the toolbox—looking at ethics, fears, and basic buttons. But today, we stop looking at AI as a cool party trick and start looking at it as the most profitable skill on your resume. Brett breaks down the startling new economic reality: The market no longer cares if you can build the robot; they just want to know if you can persuade it to do meaningful work. Backed by recent data from PwC, this episode explores why "AI Swimmers" are commanding a 56% wage premium over their peers and how you can claim that value without writing a single line of code.

We love the "magic" of AI—the white space, the rounded corners, the instant answers that seem to float down from the ether. But the "Cloud" isn't a cloud. It is a factory. It is acres of screaming servers in the desert, millions of gallons of water turned to steam, and human beings in Nairobi filtering out the worst of the internet so we don't have to. In this episode, Brett calculates the "Ethical Bill" for our AI habits. We move past the abstract philosophy of ethics to look at the physical reality: the energy, the water, and the "Ghost Workers" (RLHF) that make the technology possible. This isn't a guilt trip—it's a guide to moving from a "consumer" to a responsible "operator" who knows the true cost of the machine.

We often think of Artificial Intelligence as a futuristic robot or a confusing chatbot that writes poetry. But the truth is, you are likely already a "Cyborg"—you just don't use that label. In this episode, Brett explores the concept of "Invisible AI"—the silent, servile algorithms that are already running your life. From the noise cancellation in your headphones to the "magic" that saves your battery life, we discuss how we comfortably embrace AI when it acts as a tool, and why that acceptance is the first step toward developing true "AI Taste."

 Is your computer plotting against you? In 1968, 2001: A Space Odyssey gave us HAL 9000—a polite, murderous AI with a survival instinct. That movie defined our cultural anxiety for 50 years. But in 2026, the reality of Artificial Intelligence looks less like a super-villain and more like an anxious intern who tries to book a dinner reservation at 3:00 AM. In Lesson 7 of the AI Fluency Series, Brett Hanson debunks the "HAL Myth." We strip away the sci-fi fear to reveal the boring, practical utility underneath. We explain why your AI has zero "agency," why we instinctively say "thank you" to robots, and how to stop treating your tools like people so you can start mastering them like a pro.

We have moved from the era of Search (finding sources) to the era of Answers (synthesizing information). In this episode, Brett explains the massive shift from Google as a "Librarian" who points you to books, to Google as a "Research Assistant" who reads them for you. While convenient, this "Zero-Click" world requires a new set of skills to avoid being misled by "flattened" summaries or hallucinations.

We’ve all fought with autocorrect when trying to type a specific word that rhymes with "truck." In this episode, Brett explains how the super-intelligent AI tools we use today—like Gemini 3 and ChatGPT-5—are essentially that same autocorrect technology, just on massive "steroids." Lesson 5 demystifies the "ghost in the machine." We strip away the magic to reveal the Probabilistic Engine underneath. By understanding that AI is a pattern matcher, not a truth teller, you will finally understand why it hallucinates, why it sounds so confident even when it’s wrong, and how to control the output. We move from "Awe" to "Understanding."

It’s 10:00 PM. You have a deadline. You use AI to finish the work in four seconds. Instead of relief, you feel guilt. In this episode, Brett tackles the "Plagiarism Panic"—that internal voice asking, "If I didn't suffer over this, is it really mine?" We dismantle the definition of cheating in the AI age and explore the critical difference between outsourcing your thinking versus outsourcing your labor. If you’ve ever felt like a fraud for using ChatGPT, this lesson will help you stop hiding in the shadows and start leading with "The Editor's Eye."

Is your phone secretly recording your conversations to sell you cat food? It’s one of the biggest ghost stories in the digital world. In this episode, Brett Hanson debunks the "Listening Myth" by explaining why mass surveillance of your microphone is unlikely, while revealing the far more effective method advertisers actually use: Predictive Profiling. We also confront the rare "1% Exception"—real government and criminal spyware like Salt Typhoon and Pegasus—before pivoting to the practical steps everyday users can take to secure their data. Whether you are using Google Gemini or just browsing the web, this lesson gives you the "Digital Hygiene" plan you need to move from paranoia to proficiency .

In this episode, Brett Hanson speaks directly to the "Sunbather"—the skeptic who believes they don't need or want AI in their life. Brett challenges the myth that you can "opt-out" of artificial intelligence by revealing the "Invisible Assistant" that has been quietly curating your world for the last decade. From FaceID to your spam folder, we explore how you are likely already an active AI user. The goal today isn't to convince you to love AI, but to help you move from a passive consumer to a conscious observer who uses "AI Taste" to stay in control.

Episode 1 of the new series: 2026 AI Fluency Spectrum Are you doing the work you love, or just managing the business of it? In this kickoff episode of the 2026 AI Fluency Spectrum, Brett Hanson explores the "Admin Debris" that suffocates our best work—and how to clear it using AI. Brett shares a real-world case study of a professional executive coach who reclaimed hours of her week by building a custom Google Gem. He also introduces the core philosophy of the series: the journey from "Experience" to "Taste," where AI becomes an engine of execution so you can become the engine of judgment.

Welcome back to AI for Everyone. In this episode, I'm pulling back the curtain on a real, in-progress project from my AP Literature class. We're moving beyond theoretical discussions and essays to build interactive, conversational AI avatars. My students are using OpenAI's Custom GPTs to create and interpret the robot characters from Nnedi Okorafor's fantastic novel, The Death of the Author. This isn't just a classroom exercise; it's a dynamic way to analyze literature, and the students will be presenting their finished avatars at the Great World Texts conference in Madison, Wisconsin.

In this episode, Brett Hanson announces a new, more personal direction for the "AI for Everyone" podcast. Moving away from a rigid structure, the show will now focus on the real-world, everyday applications of AI in Brett's life as a teacher, writer, and consultant. He outlines five core priorities that will shape future episodes: student AI readiness, client workflow solutions, AI-powered writing projects, personal professional organization, and creative AI endeavors. The second half of the episode provides a practical, step-by-step tutorial on creating a "Custom Gem" in Google Gemini. Using his own writing project as an example, Brett demonstrates how to build a personalized AI assistant designed to help edit, revise, and brainstorm ideas for a new mystery series. This deep-dive offers listeners a tangible workflow for creating their own specialized AI tools to enhance efficiency and creativity.

In this episode, Brett sits down with veteran educator and virtual school leader Jamey Hill to deconstruct the process of building an AI implementation plan from scratch. Jamey shares her journey from being a Montessori-inspired teacher who believed "the hand is the tool that feeds the brain" to becoming a leader in shaping how schools can responsibly integrate artificial intelligence. The conversation moves from the initial overwhelming phase of "tool collecting" to the creation of a thoughtful, three-part framework: Define, Evaluate, and Integrate. Jamey provides a practical blueprint for other school leaders and teachers, emphasizing the need to start with core human values, create flexible "guidances" instead of rigid policies, and focus on AI literacy as an equity issue. This is a must-listen for any educator feeling stuck or unsure of how to begin their school's AI journey.

This week's "AI in Focus" episode dives into the essential, human skill of "AI Taste." Brett defines taste as the critical ability to judge and discern quality in an age of infinite AI generation. He breaks down the five levels of AI proficiency—from the skeptical Sunbather to the architectural Diver—and provides a practical roadmap for listeners to cultivate their own AI taste, turning AI from a simple tool into a true co-creation partner.

In this AI in Focus episode, Brett Hanson dives deep into Mustafa Suleyman's essential book, "The Coming Wave," exploring the immense power and unprecedented risks of AI and synthetic biology. The discussion covers why this technological wave is different from all others, the "great dilemma" we face in navigating it, and the urgent need for a new mindset of containment and responsible stewardship. The episode concludes with an analysis of Suleyman's recent article on the psychological dangers of "Seemingly Conscious AI."

In this "AI in Education" episode, Brett sits down with Benita Gordon, a dynamic educator, entrepreneur, and founder of the Micro Learn Hub and Global Education Concierge. Benita shares her journey from a traditional classroom teacher to a leader in the microschool movement. The conversation explores the concept of the "AI-Powered Classroom," focusing on how AI can be used not to replace teachers, but to enhance their work by personalizing learning, differentiating instruction, and managing administrative tasks. Benita provides concrete examples of how tools like Khanmigo and custom AI assistants can foster student engagement and build both academic skills and personal confidence.

In this month's AI in Business episode, Brett is joined by co-host Andrew Kleidon, Marketing Manager at Quantum Technologies, to discuss how to reclaim your time through AI-powered productivity and workflow automation. They explore the latest business news, from the rise of Small Language Models (SLMs) to the critical learning gap causing large-scale AI projects to fail, and break down how everyday users, entrepreneurs, and small businesses can leverage tools like Zapier, Claude, and personalized chatbots to conquer administrative tasks, overcome creative blocks, and focus on strategic growth.

This week on AI for Everyone, we're tackling one of the most complex and urgent questions in the digital age: who owns what you create with AI? This "AI in Action" episode dives deep into the legal and ethical maze of AI ownership, exploring why the simple act of writing a prompt doesn't make you a legal author. We break down the landmark court cases shaping the future of creativity and examine the high-stakes legal war over the copyrighted data used to train AI models.

In this episode, host Brett Hanson provides a thorough comparison of the two leading AI platforms for the everyday user: OpenAI's ChatGPT and Google's Gemini. Framed as a guide to developing your own AI "taste," the discussion breaks down how each platform performs on common tasks like creative writing, research, and image generation, helping listeners decide which tool best fits their needs. It also introduces the "AI is like water" metaphor to help users identify their level of engagement—from a "Beachcomber" doing simple tasks to a "Snorkeler" connecting various tools. Finally, the conversation shifts to the critical, often hidden social and ethical costs of AI, covering the significant environmental impact, the crucial differences between "opt-in" and "opt-out" user privacy models, and the "ghost work" that underpins AI development. Listeners will leave with specific recommendations and a clearer understanding of how to choose their own AI "operating system" responsibly.

In this episode, Brett Hanson sits down with Dylan Zaleski, an insightful voice on the intersection of AI and education. They explore the critical importance of embedding AI literacy into the K-12 curriculum to prepare students for a future workforce shaped by artificial intelligence. Dylan shares his personal "aha" moment with AI, sparking a conversation about the technology's potential to both widen and bridge opportunity gaps. The discussion covers practical applications of tools like NotebookLM for learning, the ethical considerations of AI in schools, and the need for students to develop uniquely human skills to complement AI's capabilities. This episode is a must-listen for educators, parents, and anyone interested in the future of learning and work in the age of AI.

In this episode of 'AI for Everyone,' host Brett Hanson discusses the importance of ethical and practical use of AI across various roles. He begins with a cautionary tale of an individual's detrimental overdependence on AI chatbots, leading to isolation and neglect of real-life relationships. The episode introduces 'Perplexity AI' as a transparent AI tool for critical source interrogation. Brett then delves into Karen Hao's book 'The Empire of AI,' which explores AI's hidden costs and the mechanisms used by AI companies to establish dominance including resource extraction, labor exploitation, knowledge monopolization, and ideological justification. Brett emphasizes developing a critical mindset towards AI, advocating for transparency, informed usage, and continuous learning to navigate an AI-driven world responsibly.

In this short episode, host Brett Hanson explains his shift from AI "enthusiast" to a more critical, "realist" perspective, exploring the practical integration of AI in education. He discusses the challenges and time commitment required to master new technologies, cautioning against "AI FOMO" (Fear of Missing Out) where the focus on tools overshadows the actual work. Using his personal journey through the ISTE certification process, Brett introduces a custom AI tool he built to streamline his workflow. The episode emphasizes the essential skill of "learning how to learn" in a rapidly evolving technological landscape. Brett also admits his struggles with his new technology, descript.ai, so please be patient. He will get better.

Episode 10 pulls back the curtain on the often-invisible aspects of artificial intelligence. We explore the critical topic of AI safety, not from a science-fiction perspective, but with practical steps every user can take to protect their data and privacy. We then move into a crucial and underreported topic: the "ghost workers" who power the AI systems we use daily. This global workforce is responsible for labeling data and moderating content, often for low pay and in stressful conditions, raising significant ethical questions about the true cost of "autonomous" technology. Finally, we pivot to empowering you, the user. We discuss tangible strategies and tools that help you stay in control, understand how AI makes decisions, and ensure these powerful systems remain helpful assistants rather than opaque black boxes. This episode is about building a more complete, responsible, and human-centered understanding of AI

This episode tackles the turbulent legal and ethical landscape of artificial intelligence from 2022 to the present. Host Brett Hanson explores the fundamental paradigm shift in the AI conversation, moving from abstract principles to urgent, practical crisis management in the wake of generative AI's public release. The discussion delves into the core of the current legal turmoil: the collision between generative AI and intellectual property law. Listeners will learn about the U.S. Copyright Office's unyielding stance on "human authorship" , the complex legal gray area of "hybrid" works , and the high-stakes legal battle over the fair use doctrine.

In this episode, Brett Hanson explores how to unlock the power of personalized AI with Custom GPTs, turning a general AI into your specialized assistant for teaching, business, or everyday tasks. He delves into advanced prompting strategies, including structured instructions, modular prompts, and chain-of-thought, all within the framework of the SWIMER method. The episode also demystifies AI by highlighting the "Beachcomber" level of engagement, showing how AI is already embedded in our daily lives, often without us realizing it. Listeners will gain practical skills to enhance their AI interactions and build confidence in navigating the digital world.

In this episode, host Brett Hanson explores the practical impact of Artificial Intelligence on our daily lives and the broader economy in mid-2025. The discussion begins with a real-world story of a student who knows what she wants, but not what she needs. The episode features Google's Gemini as the "Tool of the Week," detailing its capabilities within Google Workspace for content creation, personalized learning, and research. A key segment is dedicated to the essential skill of developing AI "taste". The main focus is a deep dive into AI's economic effects, supported by recent statistics on AI adoption in manufacturing and healthcare , and projections on job growth in fields like software development and cybersecurity. The episode argues that while AI presents challenges like job displacement and potential wealth disparity , it also creates significant opportunities, making lifelong learning and a blend of technical and human skills essential for navigating the changing landscape.

This episode explores how Google’s AI tools—like Gemini, NotebookLM, and Workspace integrations—are transforming classrooms by enabling deeply personalized learning, individualized support, and growing student autonomy. Brett shares real examples from teachers, including himself, using Gemini to scaffold writing, streamline planning, and build differentiated lessons. You’ll learn how students can now drive their own learning journeys with on-demand support, customized study paths, and AI-powered feedback. Plus: the latest AI features, safety protocols, and what you can try this week to make personalization real in your classroom. Resources and links available at hansoneducationservices.com, under the AI for Everyone podcast page.

In this episode, we take a step back and ask: where are we really in our relationship with AI? First, we break down the three leading AI platforms—ChatGPT-4o, Gemini 2.5, and Microsoft Copilot—and explain how each is evolving into an AI operating system: a full workspace where your writing, planning, communication, and analysis can happen seamlessly and intelligently. Then, we introduce a practical metaphor for AI adoption: AI is like water— it is rising, flowing, and pervasiv; the four levels of AI engagement (Level 1 Beachcomber, Level 2 Swimmer, Level 3 Snorkeler, and Level 4 Diver), each explained with real-life examples from classrooms, businesses, and leading thinkers in the AI space. Whether you're just dipping your toes in or already navigating deep waters, this episode will help you better understand: Which AI platform fits your workflow, How to move from casual use to confident integration, And why understanding your "level" matters for both productivity and ethics.

In this episode, we explore how Microsoft Copilot is transforming business workflows, from cybersecurity in Peru to small-business advising in Jersey to global auditing at EY. You’ll learn how Copilot integrates seamlessly into Word, Excel, Outlook, Teams, and PowerPoint, and why its GPT-4-powered Pro version is outperforming competitors like Google Gemini. We introduce the SWIMER framework for prompting effectively and explain how enterprise-grade features, advanced AI precision, and broad accessibility make Copilot the leading AI productivity tool today. Visit the AI for Everyone page at hansoneducationservices.com for full citations and show notes.

In Episode 3 of AI for Everyone, we explore the fascinating journey from DeepMind’s AlphaGo to Google’s latest omnimodal AI model, Gemini. We break down how Gemini is reshaping productivity in Google Workspace and what it means for the future of work, education, and personal computing. From Move 37’s brilliance to the emergence of a possible AI operating system, this episode tracks how Google is redefining intelligence at scale.

In this episode, we explore how ChatGPT became the gateway tool for everyday AI use—and why the ability to write good prompts is now a core skill in education, business, and beyond. You'll hear a story about a high school student aiming for a career in marketing, and how AI is reshaping that field before she even graduates. We also dive into how OpenAI built ChatGPT, the origins of modern AI, and the ethical questions that follow. Whether you’re just starting with AI or guiding others to use it well, this episode will help you think more clearly, prompt more effectively, and understand where it all began.

Welcome to the very first episode of AI for Everyone. Today, we’ll lay the foundation for everything that follows. What exactly is AI? Why is it such a big deal? How is it already affecting your work, your classroom, or your daily life—even if you don’t realize it