Have you ever wondered why AI can feel like chasing a mythical shortcut to business bliss? What does it really take to turn high-tech hype into practical gains without crashing into disappointment? And what kind of mindset shift can transform AI from a "magic wand" illusion into a reliable partner that amplifies your team's potential? In this engaging episode, Daniel Fuller joins host Aaron Douglas to unpack the realities of purchasing and implementing AI solutions. Drawing from his experience at RoboSource, Daniel debunks common myths—like expecting AI to instantly solve complex operational headaches or replace tricky team dynamics—while emphasizing a patient, iterative approach akin to training a star employee. The conversation explores how unrealistic expectations fuel the staggering 80-95% failure rates in AI projects, the value of starting small for quick wins, and why treating AI as a collaborative tool, not a quick fix, leads to sustainable success in a competitive landscape. Learn more about Daniel Fuller and RoboSource at https://www.linkedin.com/in/danielfullerindy/. Learn more about Aaron Douglas at https://www.linkedin.com/in/aaronddouglas/. Subscribe to the podcast for more insights, read AI Empowered at https://a.co/d/gnLq5Hf or Accelerate your AI Readiness at https://airaa.org/.

Have you ever caught yourself yelling "TALK TO A HUMAN!" to an automated call bot, or wondered why the term "Clankers" has gotten so popular? What if this "othering" of machines isn't just harmless venting, but a self-sabotaging habit that blocks the exponential potential of Human x AI collaboration? And could our tendency to dehumanize AI be mirroring deeper biases, turning tools into threats and stifling innovation before it even begins? In this post-cold but (hopefully) thought-provoking episode, host Aaron Douglas dives into the rising tide of resentment toward AI, exploring viral slurs like "Clankers," "Toasters," and "Skinjobs" that capture our everyday irritations with bots and automation. Drawing from personal anecdotes—like a frustrating hotel booking gone wrong—and historical parallels to Luddite rebellions, Aaron examines how "othering" AI stems from fears of job loss, loss of control, and wounded pride. He balances the discussion by acknowledging the benefits of healthy boundaries with AI to avoid over-reliance or manipulation, while warning of spillover effects like ethical blind spots and backlash against AI developers. Through insights from psychology, media reports, and AIRAA's human-first approach, the episode challenges listeners to reframe AI as a partner for multiplication, not an enemy, to foster trust, resilience, and progress in an AI-driven world. Learn more about Aaron Douglas at https://www.linkedin.com/in/aaronddouglas/ Subscribe to the podcast for more insights, read AI Empowered at https://a.co/d/gnLq5Hf or Accelerate your AI Readiness at https://airaa.org/.

Have you ever wondered what happens to decades of hard-earned expertise when a veteran employee retires, leaving behind a void that could cost your business clients or even millions in lost productivity? What if AI could transform that "tribal knowledge" into an accessible, video-based library, allowing the next generation to query wisdom in natural language and keep operations running smoothly? And how might preserving human insights through thoughtful tech not only prevent disruptions but actually foster resilience and innovation in an AI-driven world? In this episode of AI Empowered, host Aaron Douglas chats with Nate Jebb about his mission to bridge generational knowledge gaps in small to mid-sized businesses, particularly in trades and manufacturing. Drawing from his experiences in process documentation and personal curiosity, Nate explains how Veritas uses video interviews, storytelling, and AI-powered tools to capture retiring employees' tacit knowledge—turning it into practical, searchable resources that prevent "if Aaron's there, it's great; without him, we're in trouble" scenarios. The conversation explores the human factors in knowledge transfer, from overcoming resistance to change through beginner's mind questioning, to the real-world impacts on business sales and continuity amid the "silver tsunami" of boomer retirements. Learn more about Nate Jebb and Veritas Professional Services at https://www.linkedin.com/in/natejebb/. Learn more about Aaron Douglas at https://www.linkedin.com/in/aaronddouglas/. Subscribe to the podcast for more insights, read AI Empowered at https://a.co/d/gnLq5Hf or Accelerate your AI Readiness at https://airaa.org/.

Have you ever wondered why AI feels like an overnight sensation after decades in the shadows? What sparked that tipping point where predictions went from "duh" to downright magical? And how might blending human nuance with robotic efficiency reshape everything from healthcare diagnostics to fighting human trafficking? In this engaging episode, we dive deep with Jason Beutler on AI's journey from 1990s neural networks and expert systems to today's mind-blowing applications. They unpack the illusion of sudden growth, the real "magic" in user perception, and key distinctions between RPA and true AI – all while emphasizing how human relationships, ethics, and adaptability remain the true drivers of success in an automated world. Learn more about Jason Beutler and RoboSource at https://www.linkedin.com/in/jrbeutler. Learn more about Aaron Douglas at https://www.linkedin.com/in/aaronddouglas/. Subscribe to the podcast for more insights, read AI Empowered at https://a.co/d/gnLq5Hf or Accelerate your AI Readiness at https://airaa.org/.

AI Empowered Lying About AI: The Hidden Truth That's Sabotaging Our AI Revolution In this eye-opening episode of AI Empowered, host Aaron Douglas dives into why so many AI projects flop—not because of the technology, but because of us humans and our pesky fears. Drawing from his background in psychology and therapy, Aaron explores how fear of judgment leads people, especially software engineers, to lie about using AI in their work. He unpacks a Harvard Business Review study showing low self-reported AI adoption rates, the "competence penalty" where AI users are seen as less capable even when their output shines, and broader issues like gender bias hitting women harder. Wrapping up with the Red Queen Hypothesis, Aaron stresses that organizations must evolve fast or get left behind, urging a cultural shift to embrace AI openly without stigma. Why would top performers hide their secret weapon—AI fluency—that could multiply their impact? What if over half your team is downplaying skills employers desperately need, just to avoid looking like they're cheating? Why do women face double the criticism for leveraging AI, leading them to underperform out of fear? And how does this cycle of denial stall innovation, scrap million-dollar pilots, and leave companies gasping to keep up in an evolving world? Learn more about Aaron Douglas at https://www.linkedin.com/in/aaronddouglas/ Subscribe to the podcast for more insights, read AI Empowered at https://a.co/d/gnLq5Hf or Accelerate your AI Readiness at https://airaa.org/.   Subscribe for more insights, read AI Empowered at https://a.co/d/gnLq5Hf or Accelerate your AI Readiness at https://airaa.org/.

In this episode of "AI Empowered: Human X AI Readiness Podcast", Aaron Douglas chats with UX/UI veteran Jon Arnold about the shift from the exhilarating early days of web design to the unsettling rise of AI. Jon shares why AI sparks unease instead of excitement—fearing it commoditizes creativity, replaces human ingenuity, and leaves us in a lonely, deskilled world. They explore the psychology of tech adoption, the competence penalty of hiding AI use, and how fostering open cultures of sharing could turn AI from threat to true partner. Perfect for designers, leaders, and anyone grappling with AI's human side. Subscribe for more insights, read AI Empowered, or Accelerate your AI Readiness. Let's bridge the gap—together.

In this introduction of 'AI Empowered: Human X AI Readiness,' host Aaron Douglas—author of AI Empowered and CEO of AIRAA—dives into the trillion-dollar question: Why do 80% of AI projects fail? According to industry leaders like RAND and McKinsey, it's not the tech—it's us. Explore the psychology behind stalled pilots, team resistance, and 'POC purgatory,' and discover how Human-AI Interaction (HAI, pronounced 'high') can accelerate your potential. Aaron shares insights from his career in transformational psychology and organizational change, previewing conversations with innovators on turning resistance into resilience. Perfect for executives, consultants, and change leaders ready for human-centered AI strategies. Subscribe now for frameworks you can use today, grab the book "AI Empowered" at https://a.co/d/gnLq5Hf, and discover the first AI Readiness and Adaptability Accelerator at https://airaa.org. Let's find out what it takes to make AI a true partner in human success? —together.