Practical Pedagogy: The Art of Teaching for the Future of Work

Anika Jackson
  • 5.0 (2)
  • Education
  • Weekly

Preparing students and working professionals for the future of work means teaching with AI, not just about it. Practical Pedagogy brings together educators, researchers, and industry leaders reimagining what it means to teach and learn in an AI-integrated world. Each week, we explore real conversations happening in classrooms, boardrooms, graduate seminars, and workplaces: How do we guide learners toward thoughtful, strategic AI collaboration? What does pedagogy look like when AI tools evolve faster than curriculum? And what skills actually matter when generative AI can handle the rest? You'll hear from professors redesigning courses around AI literacy, students learning responsible AI use, working professionals navigating upskilling and career transitions, researchers uncovering what works, and industry leaders hiring for skills that don't exist in textbooks yet. Whether you're in K-12 education, higher education, corporate learning and development, or figuring out your next chapter, this show is about preparing for—and thriving in—work being redefined in real time. Our approach is practical and relaxed. We're as interested in failures and lessons learned as we are in wins. Because the question isn't whether to embrace AI or resist it. It's how we prepare learners of all kinds to evolve alongside it. For educators, students, working professionals, researchers, and anyone curious about the future of learning and work.

  1. 1d ago

    Customizing Education: Scott Somers on AI-Driven, Student-Centered Learning

    Anika sat down with Scott Somers to explore how educators and parents can use artificial intelligence to move away from rigid, standardized textbooks and design deeply personalized learning projects. The conversation revealed a counterintuitive truth: the reading and engagement crisis in modern education isn't caused by a lack of student capability, but by forcing kids to memorize irrelevant facts instead of connecting material to their genuine interests. Scott’s journey from a Title I middle school classroom in rural Alaska to founding Next Chapter Homeschool Outpost offered practical insights into building student-centered curriculums, alongside a sharp look at how technology can act as an educational assistant rather than a replacement for human reasoning. In This Episode The frustration of standardized school districts and the moment Scott realized traditional textbooks fail to engage studentsSolving the low-engagement puzzle: helping a struggling student connect 1920s history through fashion designLiving and teaching in rural Alaska: navigating extreme isolation, high-speed fiber optics, and limited local learning optionsShifting from traditional teaching to founding Next Chapter Homeschool Outpost to support individualized learning mapsUsing AI as an educational intern to research sources, create project rubrics, and draft tailored lessonsEstablishing ethical AI boundaries: teaching students how to spot synthetic writing, verify sources, and avoid hallucinationsBuilding a customized tech stack with Claude and GPT to scale personalized homeschooling supportThe guiding North Star: recognizing that every child is unique, and their education should reflect that individuality  Timestamps 00:03 Introduction: Meet Scott Somers, former Alaska teacher and homeschool curriculum builder01:30 The classroom realization: Why traditional standardized pacing and geography textbooks fail students06:04 The turning point: Transforming student engagement through 1920s fashion and World War II tanks11:50 Life in rural Alaska: Balancing extreme wilderness, 12-hour grocery trips, and high-speed fiber internet17:15 Solving education for his own son: Designing a deep-dive food history and geography project21:27 Individualized project-based learning: Managing unique student projects using an AI educational intern27:12 The AI literacy challenge: Teaching students source verification, ethical use, and how to spot synthetic writing37:32 Next Chapter Homeschool Outpost: Creating personalized learning maps instead of mimicking traditional classrooms45:57 The personal tech stack: Using Claude, GPT, and structured daily codex backups to build customized curriculums50:02 Closing philosophy: Embracing the unique nature of every child to drive a specialized education  Key Insights & Takeaways Insight 1: Give Students a Reason to CareStandardized curricula often force students to memorize abstract data—like the gross domestic product of a random country—that they will never retain. True learning begins when education is built around students' real passions, whether that is fashion, tanks, culinary arts, or mythology.   Insight 2: AI Acts as an Educational Intern, Not a ReplacementUsing artificial intelligence does not mean letting a machine do the work for students. Instead, educators and parents can leverage AI to handle massive research passes, structure rubrics, and brainstorm tailored lesson plans, while keeping human oversight and academic rigor front and center.   Insight 3: Move from Standardized Testing to Project-Based FluencyStandardized tests offer a fleeting snapshot of short-term memorization. Immersive, project-based learning allows students to investigate complex historical and scientific concepts through sustained creation, ensuring the knowledge actually sticks decades later.   Insight 4: Technology Must Be Critically VerifiedAs artificial intelligence becomes ubiquitous, students and teachers must maintain a healthy skepticism. Guarding against hallucinations and synthetic writing requires rigorous source checking, teaching learners how to cross-reference data with reliable real-world information.   Insight 5: Education Should Be as Unique as the ChildWith millions of students in the country, forcing everyone into the same rigid classroom mold stifles potential. Personalizing educational paths allows children to lean into their specialized strengths, fears, and hopes early on, paving a much clearer road toward their future careers.   Resources & Links Mentioned Next Chapter Homeschool OutpostTools & Software: Claude, OpenAI GPT, VS Code, Perplexity, GrokLiterature referenced: Two Old Women, Lord of the Flies, Treasure Island  About Scott Somers Scott Somers is a former middle school teacher in rural Alaska and a homeschool curriculum builder. He uses AI to help design learning projects around students' interests while keeping their choices and reasoning at the center of the work. His classroom examples include history projects built around 1920s fashion, tanks, and filmmaking.   Connect with Scott Website: https://accidentalakteacher.com/?page=about.htmlLinkedIn: https://www.linkedin.com/in/scott-somers/

    Customizing Education: Scott Somers on AI-Driven, Student-Centered Learning

  2. Oct 29

    Protecting Young Minds in the Digital Age: NaLonni N Madden on AI Safety and Cognitive Retention

    Anika sat down with NaLonni N Madden to explore why the rapid rollout of artificial intelligence in education has created a massive translation and onboarding problem. The conversation revealed a counterintuitive truth: the tech industry keeps shipping advanced tools and confusing acronyms without building a bridge for everyday consumers. NaLonni’s perspective as a systems thinker, educational consultant, and homeschooling parent offered practical pushback against unguided AI adoption, alongside a sharp look at why tech companies must design for the end-consumer rather than just developers.   In This Episode Transitioning from USC student to guest: navigating life on the other side of the micDefining an "ordinary systems thinker" and applying holistic solutions to educationThe AI translation gap: why tech companies ship complex jargon without onboardingInstitutional failures in ed-tech: thrusting tools onto educators with zero trainingBuilding bespoke learning tools to shorten the distance between curriculum and retentionChoosing an LLM: navigating OpenAI, Claude, and Meta's Muse for specific needsAI training bias: encountering eurocentric data and adding cultural contextGuardrails for minors: why children under 16 need strict parameters and supervisionThe cognitive disconnect: separating human critical thinking from AI task outsourcingA concluding North Star: remembering that you know more than you think you know  Timestamps 01:17 From student to guest: NaLonni's background and systems mindset02:15 Defining systems thinking and homeschooling problem-solving05:39 The AI translation and onboarding gap for consumers11:54 Institutional failures and ed-tech integration hurdles13:41 Building custom learning devices to bridge curriculum gaps18:34 Navigating LLM options: OpenAI, Claude, and Meta's Muse28:32 Overcoming eurocentric AI training data and adding cultural context35:05 Guardrails and safety considerations for minors using AI39:15 Setting graduate-level boundaries on critical thinking versus AI outsourcing43:42 Closing thoughts: trusting your own expertise and inner knowledge  Key Insights & Takeaways Insight 1: AI Has a Severe Translation and Onboarding Problem Tech companies design and market LLMs from the perspective of developers and computer scientists, flooding the space with confusing acronyms like MCP and CLI. There is an urgent need for translation layers so everyday users—such as parents, grandmothers, and students—can actually understand the instructions they receive.   Insight 2: Systems Thinking Focuses on the Path Between Pain and Solution Rather than fixing isolated pain points, holistic systems thinking examines the entire pathway. When navigating educational requirements or homeschooling without clear instructions, the goal is to construct a bridge that makes the learning process seamless for both parent and child.   Insight 3: AI Is a Prediction Model, Not an Answer Key AI should never be treated as an unquestionable source of truth. Because underlying models are heavily trained on Western-facing data, users must actively inject diverse historical and cultural context to prevent narrowed outputs and biased accounts.   Insight 4: Children Under 16 Need Strict AI Guardrails Large language models were built for monetization, not with children's psychological safety in mind. Without proper parental supervision, clear guardrails, and age-appropriate platforms, unguided AI use can pose significant risks to young, developing minds.   Insight 5: Cognitive Friction Is Essential for Learning Using AI to instantly write papers or solve assignments bypasses the brain's ability to build new neural connections. Students must do the critical thinking work first, using AI sparingly as an assistant or editor rather than a total replacement for human intellect.   Resources & Links Mentioned Meta’s Muse Anthropic Claude & OpenAI ChatGPT History Odyssey Curriculum Lovable (app building platform)   About NaLonni N Madden NaLonni N Madden is an education consultant, systems thinker, and former student at USC Annenberg. Specializing in educational frameworks and curriculum design, she leverages her background to help students and parents navigate structural hurdles, demystify emerging technologies, and build practical tools that bridge learning gaps.   Connect with NaLonni Threads: https://www.threads.com/@naylahknee

    Protecting Young Minds in the Digital Age: NaLonni N Madden on AI Safety and Cognitive Retention

  3. Oct 22

    John Miles on the Science of Mattering and Why Performance Isn't Enough

    Professor Anika Jackson sat down with John Miles—former Fortune 50 executive, four-time CEO, and host of the Passion Struck podcast with over 85 million downloads—to explore his new book, The Mattering Effect. The conversation uncovers a counterintuitive truth: outward success, titles, and accolades do not protect people from feeling invisible. Whether looking at mid-career professionals, university students, or high-performing executives, the root cause of burnout, loneliness, and rising despair is an upstream wound sitting underneath them all: the fundamental human question, "Do I matter?"   In This Episode The personal turning point: a moment with his son that exposed his own burnout, isolation, and disillusionmentWhy we keep asking "What is happening to us?" instead of "What is happening around us?"Jamil Zaki and the Stanford research on modern cynicism and everyday social adaptationsThe MATTER framework: Meaning, Agency, Time, Trust, Energy, and ReciprocityThe "Great Erasure": how modern environments teach us to exchange our true worth for a proven version of itA practical organizational example: fixing disengagement at a major enterprise through autonomy and psychological safetyThe danger of effortless perfection and "duck syndrome" on college campusesAI as an environmental shift: why artificial intelligence makes IQ table stakes and pushes emotional equation and adaptability to the forefrontBeing a resource versus being a source of impactWhy Amy Edmondson's research shows silence is the greatest organizational danger  Timestamps 00:03 Introduction: Navigating the future of work and introducing John Miles01:58 The personal origin story: recognizing burnout, isolation, and the block-playing moment with his son05:36 Shifting the question from "What is happening to us?" to "What is happening around us?"07:31 The six dimensions of the MATTER framework09:41 The science of mattering: starting internally through four quadrants12:02 Confronting personal trauma and closing the gap between who we should become and who we could become14:14 A real-world leadership example: addressing massive disengagement at Lowe's18:21 Giving frontline workers autonomy: a breakthrough story from a 25-year night-shift manager21:18 The "Great Erasure": effortless perfection, duck syndrome, and raising the next generation24:30 Creating a safe classroom environment on a Monday morning25:46 The Mattering Verse, children's books, and educational programs with AB Studios and Kaplan29:20 AI as an environment: why AI levels the playing field on IQ and shifts focus to emotional intelligence and adaptability32:25 Moving from being a "resource" to being a "source" of impact34:09 Psychological safety vs. designing systems for mattering36:01 The 90-second diagnostic tool and concluding reflections Key Insights & Takeaways   Insight 1: Success Does Not Protect Against Invisibility Outward achievements, degrees, and corporate accolades can mask an internal void. When individuals live in a constant cycle of proving, fixing, and performing, their true voice and identity recede. The hardest question to ask is: "If I stop performing, producing, and proving, would I still matter?"   Insight 2: The Six Pillars of the MATTER Framework When people adapt to modern marketplaces to prove their worth, they leak mattering across six vital areas: Meaning: Does my work and existence have purpose?Agency: Do I have control and influence over my environment?Time: Am I building myself up, or merely existing in a rush of bureaucracy?Trust: Is my environment psychologically safe?Energy: Am I receiving a return on energy, or is it merely being extracted?Reciprocity: Does care flow both ways?  Insight 3: Autonomy Wins Back Hearts and Minds Organizational change cannot succeed through macro-level mandates alone; it requires winning hearts and minds at the frontline. When leaders establish clear boundaries (such as frameworks like ITEL) and grant genuine autonomy to frontline staff, individuals transition from feeling like passive order-takers to active co-creators of their environment.   Insight 4: The Great Erasure and Effortless Perfection On college campuses and in corporate ladders alike, young people and professionals exhibit "duck syndrome"—appearing calm and effortless on the surface while paddling frantically underneath. This stems from systemic environments that teach individuals to trade their intrinsic worth for external validation.   Insight 5: AI as an Environmental Shift, Not Just a Tool Unlike past tools (like a chisel or a smartphone), AI understands meaning and operates as an environment. Because AI democratizes IQ and analytical output, it makes technical competence table stakes. Future success relies on human adaptability, emotional intelligence, and acting as a source of creation rather than a consumable resource.   Resources & Links Mentioned The Mattering Effect (Take the 90-second diagnostic)Passion Struck PodcastThe Mattering Effect by John MilesGlobal Compassion Coalition (founded by Rick Hansen)AB Studios (division of Kaplan)  About John Miles John Miles is a former Fortune 50 executive, four-time CEO, keynote speaker, and the host of the top-rated Passion Struck podcast, which has accumulated over 85 million downloads. As a leading voice on human performance, leadership, and the science of mattering, John helps individuals and organizations bridge the gap between achievement and genuine fulfillment. He is the author of Passion Struck and The Mattering Effect, and creator of the Mattering Verse initiatives for adults and children.   Connect with John Website: https://johnrmiles.com/ LinkedIn: https://www.linkedin.com/in/johnmileshumanperformanceexpert/

    John Miles on the Science of Mattering and Why Performance Isn't Enough

  4. Oct 8

    Shaping the Human Experience: Dr. Ray Lutzky on UX, Empathy, and the Future of Learning

    Anika sat down with Dr. Ray Lutzky to explore how human-centered design, user experience principles, and emerging technologies intersect in modern education and the workplace. The conversation revealed a counterintuitive truth: the real bottleneck in AI isn't technical capability, but human context and empathy. Drawing from his extensive background in ed tech, user experience, nonprofit social impact, and co-authoring the book Shaping the Human Experience, Ray offered practical pushbacks against AI policing in classrooms, alongside a sharp look at where technology truly adds value—and where it falls short.   In This Episode The core through line of a 20-year career dedicated to improving human lives through technology and educationThe stark differences in how engineering students at NYU versus communication students at USC approach AI and problem-solvingWhat user experience "affordances" teach us about communicating effectively with usersThe power and limits of generative AI in data analysis, prototyping, and synthesisWhy context is king and how AI models routinely stumble when stripped of real-world human nuanceThe danger of "AI slop" and how over-reliance on generative tools threatens creative artistryEvaluating AI integration in education using core user experience design principlesWhy correlation is not causation in educational data and teaching outcomesThe critical role of empathy, positive mentorship, and avoiding the dangers of anthropomorphizing technologyThe changing landscape of higher education, micro-credentials, and the erosion of generalist paths  Timestamps 00:00 Introduction: Practical Pedagogy and welcoming Dr. Ray Lutzky01:56 The through line of technology, social impact, and educational access 04:47 Engineering mindsets vs. communication mindsets: Affordances in HCI 08:37 Using Google NotebookLM and generative tools for qualitative and quantitative data analysis 12:21 The limits of AI data matching: Why real human context and outliers matter 16:18 The pros and cons of AI in education: Primers vs. creative erosion 21:14 UX design principles for educators: Asking the right questions before adding AI tools 23:20 Data traps in education: Why correlation does not equal causation 26:04 Empathy in student engagement and the danger of anthropomorphizing AI 33:10 Science fiction lenses, critical inquiry, and the lost art of asking the right questions 36:26 The failure of AI policing in classrooms and the need for specialized human guidance 39:40 The plight of the generalist, cutting liberal arts, and the future of higher education degrees 44:04 Shaping the Human Experience: Bridging physical, digital, and themed environments 46:18 North Star: Defining a strong sense of self and core values for decision-making 47:30 Nonprofit fintech work: Real-world resource access, survival skills, and human empathy  Key Insights & Takeaways Insight 1: Context Is King in Data Analysis  While generative AI can parse large datasets and pull initial insights, it fundamentally lacks the rich human context required to interpret true sentiment or causation. AI calculates averages and patterns, but humans will always introduce unexpected nuances and outliers.   Insight 2: Guard Against AI Slop and Creative Atrophy  Just as keyboards changed handwriting and cursive, hyper-reliance on generative tools for slide decks and content creation threatens to erode human artistry and craftsmanship. True proficiency requires knowing what the output should look and sound like before delegating to a machine.   Insight 3: Stop Policing AI and Focus on Outcomes  Attempting to ban or heavily police AI in education is futile and counterproductive. Instead, educators must evaluate tools through UX principles: asking whether an AI addition genuinely enhances student learning outcomes or merely provides a shortcut.   Insight 4: Correlation Does Not Equal Causation in Teaching  Educators frequently look at positive student performance data and assume direct causation from their teaching methods. Without rigorous secondary data analysis, confounding variables like student background or external tools can easily skew interpretations.   Insight 5: Empathy and Mentorship Outperform Automation  True empathy in education requires affirming mentorship rather than automated, simulated cheerleading. As technology increasingly anthropomorphizes responses, students and workers must remember that AI has no emotional core or genuine stake in human well-being.   Insight 6: Core Values Serve as an Internal Compass  When professional or academic paths become complicated, a well-defined sense of self and a written set of core values act as a reliable decision-making compass through ethical and strategic dilemmas.   Resources & Links Mentioned Shaping the Human Experience (Ray's book on designing physical and digital spaces)Google NotebookLM (AI research and synthesis tool)NYU Tandon School of EngineeringUSC Annenberg School for Communication and Journalism  About Dr. Ray Lutzky Dr. Ray Lutzky has spent over two decades at the intersection of technology, education, and social impact. He has served as an admissions leader, ed tech executive, and podcaster, and currently teaches Human Computer Interaction at NYU Tandon and Digital Media Management at USC Annenberg, alongside impactful work in nonprofit fintech supporting food and energy assistance programs. He holds a PhD in rhetoric and is the co-author of Shaping the Human Experience.   Connect with Ray LinkedIn: https://linkedin.com/in/lutzkyWebsite: https://raylutzky.com/

    Shaping the Human Experience: Dr. Ray Lutzky on UX, Empathy, and the Future of Learning

  5. Oct 1

    Bridging Education, Global Talent, and AI with Gerard Holland

    Anika sat down with Gerard Holland to explore why traditional university education and modern workforce demands are drifting further apart. The conversation revealed a counterintuitive truth: the problem isn't a lack of technical knowledge—it's mindset and adaptability. Gerard's perspective as a chartered accountant turned multi-company founder offered practical pushback against the rigid structures of higher education, alongside a sharp look at where AI actually creates value (spoiler: not in basic chat prompts).   In This Episode The transition from chartered accounting to founding international education and recruitment platformsWhy international student fees often fund university research rather than student-centered career outcomesThe massive disconnect between what universities teach and what businesses need employees to do on day oneThe definition of AI proficiency: moving beyond chat interfaces to vibe coding, automation, and complex tool masteryWhy banning AI in schools is short-sighted and how alternative models like Alpha School are leading the curveThe hidden challenges of higher education disruption and why 15-year projections may be overly conservativeComparing two models: Intern Match for short-term placements versus TalentMatch Africa for long-term global career pathsThe urbanized economic realities and tech talent boom across African hubs like Nairobi, Addis Ababa, and JohannesburgWhy hiring relies on screening for curiosity, proof of building, and problem-solving over static CVsThe "20-year advantage" and why outthinking AI requires reverse-engineering foundational lived experienceThe ultimate student test: building real, AI-first businesses rather than fake case studies before graduating  Timestamps 00:00 Introduction: The future of work and welcoming Gerard Holland01:32 The origin of "talent is everywhere, but opportunity is not" in Africa04:42 From chartered accountant to international education and entrepreneurship06:02 The controversial reality of international student funding models and ROI10:21 The massive gap between university output and business realities13:25 Curiosity and AI proficiency as the core characteristics of modern hiring18:03 Why banning AI in schools is fundamentally counterproductive21:33 Higher education disruption: Will traditional mid-tier universities survive?26:59 Intern Match vs. TalentMatch Africa: Short-term experience vs. sustainable employment29:32 Debunking resource scarcity myths and exploring urban African tech hubs34:34 The death of the traditional CV and how to evaluate real candidate curiosity37:46 Problem-solving and aligning AI tools with core business processes39:52 The 20-year advantage: Why outthinking AI is hard for modern graduates43:07 The ultimate student challenge: Building real AI-first businesses from scratch45:33 North Star: Impacting a million lives through employment creation  Key Insights & Takeaways   Insight 1: The University-to-Work Gap Has Never Been Wider  Universities teach academic concepts and how to think, but businesses no longer want to bear the learning curve. They expect immediate productivity. With knowledge now free and accessible via AI, the traditional 3-year lecture model is facing an existential crisis.   Insight 2: AI Proficiency Is Active Creation, Not Passive Chatting  Asking ChatGPT for a dessert recipe or a basic summary is not using AI. True proficiency involves mastering complex workflows, building automated solutions, vibe coding, and experimenting with difficult tools to solve real problems.   Insight 3: The 20-Year Advantage in the Age of AI  Experienced professionals possess the accumulated "lived experience" to reverse-engineering outcomes and push back when AI hallucinates or offers suboptimal paths. Young graduates entering the workforce without this baseline struggle to critically evaluate and outthink the tools they are handed.   Insight 4: Build Real Businesses, Not Fake Case Studies  The best way for students to prepare for an AI-first workforce is to build actual businesses from start to finish during their studies. Utilizing AI agents for marketing, finance, and operations forces students to learn practical problem-solving that standard classroom assignments cannot replicate.   Insight 5: Talent Is Everywhere, But Opportunity Is Not  Africa represents a massive, highly urbanized, tech-savvy, and English-proficient talent pool that is ready for global remote employment. By bypassing outdated perceptions and leveraging open-source AI models, businesses can tap into incredible capabilities regardless of geography.   Resources & Links Mentioned TalentMatch Africa (Gerard's global resourcing and employment platform)Intern Match (Structured internship placement platform for Australia and the UK)Alpha School (Innovative K-12 schooling model utilizing personalized AI and life skills)Higgsfield (Advanced AI video generation tool)  About Gerard Holland Gerard Holland is a Chartered Accountant and tech entrepreneur, and the founder of Talent Match Africa, InternMatch and Outcome.Life. He has spent his career bridging education and employment, from building internship platforms that placed over 14,000 students into real careers, to now upskilling professionals to work fluently with AI. His belief: talent is everywhere, but opportunity is not.   Connect with Gerard LinkedIn:  https://linkedin/in/gerardholland

    Bridging Education, Global Talent, and AI with Gerard Holland

  6. Sep 24

    Workplace Adaptability and AI Integration in Modern Hiring with James Terry

    Anika sat down with James Terry to explore how artificial intelligence and shifting labor trends are redefining the modern workplace. Drawing from his extensive background across ADP and his current leadership role as the Head of US Revenue at Indeed Flex, James shared practical insights into the rise of flexible work, the democratization of information through AI, and why operational execution combined with technical agility creates the ultimate career advantage. In This Episode Transitioning from nonprofit ambitions in Washington, D.C. to a two-decade sales and leadership career at ADPJoining Indeed Flex to help people get jobs instantly through a technology-first staffing platformThe role of "Lexi," the AI system used to streamline worker inquiries and application screeningHow AI-driven video interviews and verified skill sets replace traditional, unverified resumesThe changing landscape of the labor market, Gen Z's demand for flexibility, and why career paths are becoming less linearBalancing AI efficiency with human-in-the-loop oversight to increase organizational productivity without displacing talentThe emergence of outcome-based pricing, forward-deployed engineers, and new operational client success modelsRating systems and meritocracy: how verified track records empower both employers and shift-based workersTimestamps 00:00 Introduction: The changing future of work and introductory background on James Terry 01:04 James's career journey: from sales at ADP to leading US revenue at Indeed Flex 04:31 How Indeed Flex connects workers to shifts using AI screening and verified skill sets 08:18 The modern job market challenge: high application volumes, AI resume screening, and recruiter outreach 12:22 Generational shifts, Gen Z's push for flexibility, and the rise of the "work to live" mindset 14:38 AI productivity vs. displacement: why upskilling drives organizational growth and higher staffing needs 19:32 The interplay between generational operational experience and AI technical agility in the workforce 24:47 Shifting interview metrics: evaluating how candidates refine and explain AI outputs rather than just fetching answers 28:12 Evolving enterprise software models: moving from seat-based pricing to outcome-based consumption models 31:09 Frontline focus: comparing Indeed Flex's shift-based labor market with traditional job boards 32:37 Merit-based ratings and verified track records: replacing unverified resumes with transparent review systems 36:48 Adaptability as a core skill set and embracing continuous learning on the job 41:39 Regional workforce differences: examining the lasting impact of post-Brexit labor shifts in the UK 42:05 Redesigning education: teaching critical thinking, practical real-world application, and ethical AI integration 44:50 Guiding principle: Charles Bukowski's philosophy on walking through the fire during adversity  Key Insights & Traits   Insight 1: Verified Track Records Replace Unverified Resumes  Traditional resumes are frequently inaccurate, creating an information gap for employers. Implementing reciprocal rating systems and verified skill profiles allows top-performing workers to secure shifts faster while giving companies reliable signals of candidate quality.   Insight 2: AI Enhances Productivity and Expands Teams  Rather than universally replacing workers, effective AI adoption allows employees to manage larger workloads and communicate more strategically. This increased organizational productivity frequently drives the need to staff up rather than down.   Insight 3: The Intersection of Technical Agility and Operational Experience  Future organizational success relies on collaboration between AI-savvy talent and seasoned operators. Combining deep institutional knowledge with rapid technological adoption bridges the gap between raw data and executable business outcomes.   Insight 4: Flexibility Is the New Cornerstone of Career Longevity  Modern job seekers—particularly Gen Z—increasingly view careers as a means to live a balanced life. Platforms providing ad hoc, shift-based flexibility allow workers to match schedules with personal priorities while building diverse skill sets.   Insight 5: Outcome-Based Models Demand Deeper Client Alignment  As software shifts from seat-based licenses to consumption and outcome-based pricing, companies can no longer simply close a contract. Success requires active, ongoing engagement and forward-deployed support to ensure clients achieve measurable results.   Resources & Links Mentioned Indeed Flex (Flexible staffing platform connecting workers with shift-based roles)Indeed FutureWorks (Annual conference exploring workplace evolution)Charles Bukowski (Featured poet and philosophical quote reference)About James Terry James Terry is the Head of U.S. Revenue at Indeed Flex, a flexible staffing platform helping companies connect with qualified workers for temporary and shift-based roles. He brings more than 15 years of experience across staffing, HR technology, sales and workforce solutions, with a focus on helping businesses build more agile and responsive labor strategies. At Indeed Flex, James works at the intersection of technology, staffing and workforce innovation, giving him a front-line view of how AI is changing the way companies hire, schedule and manage workers. He is especially interested in what these shifts mean for students, educators and early-career professionals, including how the next generation can build adaptability, resilience and confidence in a less linear labor market. Connect with James Website: https://indeedflex.com/LinkedIn: https://www.linkedin.com/in/james-terry-33023717/

    Workplace Adaptability and AI Integration in Modern Hiring with James Terry

  7. Sep 17

    Benjamin Behrooz on Escaping the Sea of Sameness Through Human-Centric Marketing

    Anika sat down with Benjamin Behrooz to explore the dangers of relying entirely on generative AI for content and operations, revealing why keeping a human team on board is the ultimate strategic advantage. Drawing from his experience building Branding Los Angeles into a national operation across five states serving major brands like Chipotle and Cousins Maine Lobster, Benjamin shared practical insights into avoiding the "sea of sameness," leveraging data with human oversight, and prioritizing authentic relationships.   In This Episode Scaling Branding Los Angeles from a 400-square-foot apartment into a national multi-state full-service marketing agencyThe expensive decision to keep human content writers on board rather than replacing them with 100% AI-generated contentWhy websites relying completely on AI content experience sudden traffic drops and algorithmic penaltiesUsing AI tools like SEMrush and HubSpot for data enrichment, sorting audience pain points, and identifying transactional keywordsThe danger of relying on AI recommendations for cloud infrastructure and ad spending that prioritize corporate profits over client successThe massive return on investment of human-centric customer service and refusing to use faceless automated routing for elite clientsEssential advice for job seekers: showing courage, building genuine relationships, and standing out by knocking on doors with resilience  Timestamps 00:00 Introduction: Guiding students and workers to use AI thoughtfully, ethically, and strategically 02:17 The internet's self-cleaning mechanism and the hidden dangers of 100% AI-written web content 05:13 Why keeping a human content team despite payroll costs ultimately drives massive organic traffic and search visibility 10:00 Treating AI as a marketing tool rather than a strategy or a replacement for human decision-making 13:05 Utilizing data enrichment and keyword intent to distinguish between transactional shoppers and looky-loos 18:54 Vibe coding, automated backend tools, and evaluating whether platform AI recommendations truly serve your business 23:32 Regional differences in AI adoption and why elite clients and top-tier executives demand human interaction 30:23 Actionable advice for job seekers: stalking companies, showing resilience, and capturing attention 41:46 How a slimmed-down graphic design team and an exploded marketing department scale multi-deliverable campaigns 45:46 Guiding principle: embracing the reality that "this too shall pass" through life's high and low points  Key Insights & Takeaways   Insight 1: 100% AI Content Leads to Algorithmic Collapses  While outsourcing all content creation to AI seems cost-effective, search engines and users increasingly differentiate between authentic human voices and automated text. Websites relying entirely on AI content frequently experience severe visibility drops within a 90-day window, whereas human-crafted thought leadership drives sustained, compounding traffic.   Insight 2: AI Is a Tool, Not a Strategy  AI should be used to analyze data, enrich customer profiles, and identify keyword intent, but it cannot replace human strategy and emotional intelligence. Letting AI make core business decisions—such as automated ad spending or cloud hosting defaults—often prioritizes platform profitability over company success.   Insight 3: High-End Clients Demand Human Relationships  While fast-paced markets may tolerate automation, elite entrepreneurs, private equity executives, and high-net-worth clients reject faceless routing. Maintaining human account managers and 24/7 personal availability creates an irreplaceable competitive moat against competitors racing to the bottom with chatbots.   Insight 4: Problem Solvers Stand Out in the Hiring Market  In a competitive job market filled with automated applications, employers look for candidates who exhibit selflessness, emotional resilience, and proactive problem-solving. True professionals do not just point out flaws; they bring actionable solutions to the table.   Insight 5: Courage and Resilience Drive Career Success  Job seekers cannot rely solely on passive digital applications. Demonstrating genuine grit—such as direct outreach, personalized persistence, and showing up with confidence—breaks through digital noise and captures the attention of busy decision-makers.   Resources & Links Mentioned Branding Los Angeles (Benjamin's full-service national marketing agency)SEMrush (keyword and search intent data tool)HubSpot (data enrichment and CRM platform)Zero GPT (AI content detection tool)AWS (Amazon Web Services infrastructure)  About Benjamin Behrooz Benjamin Behrooz is the founder and CEO of Branding Los Angeles, a full-service marketing agency helping businesses grow through strategic branding, digital marketing, and lead generation. With years of experience working across industries, Ben is passionate about helping entrepreneurs build strong brands, scale their businesses, and create lasting impact through smart marketing.   Connect with Benjamin Website: https://brandinglosangeles.com/ LinkedIn: https://www.linkedin.com/company/branding-los-angeles/ Instagram: https://www.instagram.com/brandinglosangeles/ Facebook: https://www.facebook.com/BrandingLosAngeles/ YouTube: https://www.youtube.com/@BrandingLosAngeles

    Benjamin Behrooz on Escaping the Sea of Sameness Through Human-Centric Marketing

  8. Sep 10

    Relational Leadership and the Power of Human Connection in an AI Era with Joshua Evarts

    Anika sat down with Joshua Evarts to explore how the rapid acceleration of artificial intelligence and digital communication impacts the fundamental engine of every business: human relationships. Drawing from a diverse career leading national security software companies, managing historic building restorations, running a community cigar lounge, and parenting a son working at OpenAI, Joshua offered practical insights into balancing technological automation with authentic connection, intentional culture building, and genuine curiosity.   In This Episode Transitioning from early software programming on a Commodore 64 to leading national security tech companiesThe accidental pivot from accounting to building Easy Street Draw for automobile accident and homicide investigationsDeploying to Iraq and working with New Scotland Yard on post-blast investigationsSurviving stage 3 pancreatic lymphoma in 2020 and how facing mortality reshaped his perspective on presenceOpening a historic cigar lounge and discovering that authentic generosity is contagiousThe reality of parenting an OpenAI employee and navigating generative AI at the dinner tableWhy genuine relationships and curiosity remain the ultimate competitive advantages in an automated worldThe philosophy behind his book series, starting with If Jesus Smoked Cigars: Eight Lessons in Relational Leadership  Timestamps 00:03 Introduction: Balancing AI integration with thoughtful, ethical, and strategic human guidance 02:54 Early programming roots on a Commodore 64 and leaving accounting for tech entrepreneurship 07:15 The three sentinel shifts: accelerating communication speed, COVID-19 distancing, and the advent of AI 09:12 Battling stage 3 pancreatic lymphoma during 2020 and choosing gratitude as a daily mindset 10:14 Choosing presence over devices: leaving phones behind and prioritizing real human interaction 14:38 Writing If Jesus Smoked Cigars: using cheeky titles and obscure historical stories to teach relational leadership 26:45 Navigating generative AI slop, social media echo chambers, and the obsession with capturing digital data 29:21 Advice for the next generation: pursuing math, logic, and curiosity rather than fearing replacement 41:47 Recognizing that relationships are hard work and require intentional daily effort  Key Insights & Takeaways   Insight 1: Relationships Cannot Be Outsourced to AI  While generative AI automates routine tasks and text generation, it cannot replace genuine human connection. In an increasingly automated business world, the ability to build trust, listen deeply, and maintain authentic relationships serves as an irreplaceable discriminator.   Insight 2: Reckless Generosity Builds Thriving Communities  Treating business relationships purely as transactions limits growth. True generosity is contagious; when business owners genuinely support their peers and foster inclusive environments, the entire community benefits and rises together.   Insight 3: Focus on Culture and Process Over Outcomes  Founders and leaders cannot control external market conditions or outcomes—they can only control their attitude and actions. Prioritizing a healthy, people-first culture and mastering daily processes naturally attracts top talent and loyal customers.   Insight 4: Curiosity Outweighs Perfection  Entering unfamiliar rooms and asking genuine questions creates unexpected opportunities. Being infinitely curious and willing to admit what you do not understand allows professionals to successfully navigate major career pivots across entirely different industries.   Insight 5: Avoid Confusing Market Velocity with Productivity  The rapid speed of technological advancement often tricks organizations into measuring activity rather than true business impact. Leaders must evaluate whether new tools genuinely serve their mission or create unnecessary friction for human users.   Resources & Links Mentioned IfJesus.com (Joshua's official website for workshops, book info, and direct contact)If Jesus Smoked Cigars: Eight Lessons in Relational Leadership by Joshua Evarts  About Joshua Evarts   Joshua Evarts is an author, entrepreneur and former technology executive with more than 30 years of experience building businesses in technology. He is the author of If Jesus Smokes Cigars: Eight Lessons in Relational Leadership, a book exploring how leaders and professionals can build stronger relationships in a tech-saturated world. After decades in tech, Joshua opened a cigar lounge built around conversation, storytelling and authentic connection, which became a real-world expression of his belief that innovation matters, but people still come first. As the father of a son who works at OpenAI, Joshua brings both personal and professional perspective to conversations about AI, the future of work and the human skills that technology cannot replace.   Connect with Joshua Website: https://ifjesus.com/

    Relational Leadership and the Power of Human Connection in an AI Era with Joshua Evarts
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Preparing students and working professionals for the future of work means teaching with AI, not just about it. Practical Pedagogy brings together educators, researchers, and industry leaders reimagining what it means to teach and learn in an AI-integrated world. Each week, we explore real conversations happening in classrooms, boardrooms, graduate seminars, and workplaces: How do we guide learners toward thoughtful, strategic AI collaboration? What does pedagogy look like when AI tools evolve faster than curriculum? And what skills actually matter when generative AI can handle the rest? You'll hear from professors redesigning courses around AI literacy, students learning responsible AI use, working professionals navigating upskilling and career transitions, researchers uncovering what works, and industry leaders hiring for skills that don't exist in textbooks yet. Whether you're in K-12 education, higher education, corporate learning and development, or figuring out your next chapter, this show is about preparing for—and thriving in—work being redefined in real time. Our approach is practical and relaxed. We're as interested in failures and lessons learned as we are in wins. Because the question isn't whether to embrace AI or resist it. It's how we prepare learners of all kinds to evolve alongside it. For educators, students, working professionals, researchers, and anyone curious about the future of learning and work.

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