• 34 minutes 12 seconds
    How to Find Invisible Labor Before You Automate

    Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.


    Invisible labor can quietly limit growth, exhaust high performers, and make AI fail. Learn how leaders can surface hidden work before automating.

    3 November 2026, 2:00 pm
  • 35 minutes 42 seconds
    Hollywood’s AI Inflection Point

    Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.


    Helix Wolfson explains how generative AI is changing filmmaking, audience expectations, and the future of human-led storytelling.
    30 October 2026, 3:15 pm
  • 38 minutes
    Why AI Makes Team Conflict Harder, Not Easier

    Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.


    This episode argues that the hardest part of leading modern teams is not managing obvious differences, but surfacing the hidden ones that shape behavior under pressure. Csaba Toth makes a compelling case that culture, personality, and conditioning all interact, but that organizations often mistake stereotypes for understanding. His deeper point is that AI does not remove this problem; it can actually make it worse by giving people more ways to avoid friction, challenge, and self-examination. The executive lesson is straightforward: if you want better decisions, you need more than diversity on paper. You need structured self-awareness, facilitated disagreement, and the discipline to make comfort slightly harder than growth.

    27 October 2026, 1:23 am
  • 36 minutes 37 seconds
    Is AI helping your Vote? An unbiased approach.

    Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.


    This episode is about decision quality under information overload. Evan Meyer argues that voters do not need more outrage; they need a process. By defining priorities, using AI to research propositions, and checking claims against source material, individuals can make decisions that are more consistent and less reactive. For executives, the lesson is broader: any high-stakes environment benefits from a repeatable framework that turns complexity into judgment.

    22 October 2026, 11:29 am
  • 37 minutes 27 seconds
    How to Control AI With Data-First Governance

    Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.


    Tim Freestone argues that AI is not leveling the playing field; it is magnifying the gaps organizations already had in data management, cybersecurity control, and operational discipline. The real issue is not whether companies adopt AI, but whether they can govern it around specific business outcomes and data controls. Leaders who focus on broad mandates or vanity metrics will create noise, not value. The better path is controlled deployment, domain expertise, and measurable use cases tied to real business inputs and outputs.

    18 October 2026, 8:17 pm
  • 34 minutes 23 seconds
    How to Build AI Workflows Without Burning Out Your Team

    Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.


    This conversation is about more than workplace wellbeing. It is a warning to leaders that technology adoption changes the load on people, not just the output of systems. Georgina Woodley argues that AI can accelerate work while quietly increasing pressure, decision fatigue, and organizational friction. The leadership lesson is straightforward: if executives want AI to create durable value, they have to manage the human system with the same discipline they apply to the technical stack.
    15 October 2026, 3:13 pm
  • 34 minutes 23 seconds
    #392 How Regulated Industries Can Adopt AI Without Losing Control

    Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.


    Regulated industries are under pressure to adopt AI without compromising security, compliance, or critical thinking. In this episode, Aaron Bach and Dr. Darren Pulsipher discuss why blanket AI bans fail, how shadow AI increases organizational risk, and what leaders can do to adopt AI responsibly. The conversation explores AI sovereignty, multi-model strategies, sensitive-data redaction, observability, human validation, and practical ways regulated organizations can move faster without losing control. The central message is clear: successful enterprise AI requires governance that supports innovation while preserving human judgment. Chapters: 00:00 Opening and guest background 03:47 Why regulated industries resist AI 06:59 Risk, shadow AI, and competitive pressure 09:20 Why late adopters risk falling behind 12:23 AI sovereignty and multi-model strategy 15:50 Practical steps for safer AI adoption 18:21 Building with AI to govern AI 22:37 Critical thinking as the real differentiator 27:45 Why software discipline still matters 31:38 AI augmentation and the human role 33:32 How Liminal helps regulated organizations 38:32 Democratized use cases and frontline value 40:34 Closing thoughts and where to connect #AIGovernance #EnterpriseAI #DigitalTransformation #RegulatedIndustries #ShadowAI
    8 October 2026, 12:00 am
  • 45 minutes 16 seconds
    #391 How Regulated Industries Can Adopt AI Without Losing Control

    Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.


    Regulated industries are under pressure to adopt AI without compromising security, compliance, or critical thinking. In this episode, Aaron Bach and Dr. Darren Pulsipher discuss why blanket AI bans fail, how shadow AI increases organizational risk, and what leaders can do to adopt AI responsibly. The conversation explores AI sovereignty, multi-model strategies, sensitive-data redaction, observability, human validation, and practical ways regulated organizations can move faster without losing control. The central message is clear: successful enterprise AI requires governance that supports innovation while preserving human judgment. Chapters: 00:00 Opening and guest background 03:47 Why regulated industries resist AI 06:59 Risk, shadow AI, and competitive pressure 09:20 Why late adopters risk falling behind 12:23 AI sovereignty and multi-model strategy 15:50 Practical steps for safer AI adoption 18:21 Building with AI to govern AI 22:37 Critical thinking as the real differentiator 27:45 Why software discipline still matters 31:38 AI augmentation and the human role 33:32 How Liminal helps regulated organizations 38:32 Democratized use cases and frontline value 40:34 Closing thoughts and where to connect #AIGovernance #EnterpriseAI #DigitalTransformation #RegulatedIndustries #ShadowAI
    6 October 2026, 12:00 am
  • 35 minutes 3 seconds
    #390 AI Search Is Rewriting SEO: What Leaders Need to Know

    Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.


    AI search is rewriting SEO—and business leaders need a new playbook. Host Dr. Darren welcomes SEO strategist Leopold von Lee to unpack how AI search, Google Business Profile, media coverage, and social proof now shape visibility. They explore why authority is no longer just about backlinks, and what leaders must do to get found in an AI-driven search world. ## Key Takeaways - SEO is shifting from a page-level tactic to an ecosystem strategy shaped by authority, consistency, and trust. - AI search tools compare signals across websites, media mentions, reviews, social platforms, and local listings. - A strong website still matters, but it’s no longer enough on its own to win visibility. - Media coverage and third-party validation can significantly improve how AI systems evaluate your brand. - LinkedIn, YouTube, Facebook, TikTok, and Google Business Profile can all support AI visibility when used strategically. - Avoid spammy tactics, weak content, and client-side-heavy sites that bots may struggle to crawl and understand. ## Chapters - **00:00** Welcome to the show and today’s topic - **01:01** Leo’s backstory and career journey - **08:18** How SEO has changed in the age of AI search - **12:05** The three pillars of SEO: technical, content, and authority - **15:30** How AI compares signals beyond your website - **19:10** Building trust with media coverage and third-party mentions - **24:05** Why Google Business Profile is making a comeback - **27:40** Social media platforms that matter for AI visibility - **32:10** SEO mistakes and AI search traps to avoid - **37:20** Final takeaways on authority, trust, and visibility
    1 October 2026, 6:48 pm
  • 34 minutes 26 seconds
    #389 AI Search Still Runs on SEO Authority

    Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.


    AI search is rewriting the rules of digital visibility, trust, and persuasion. Host Darren Pulsifer sits down with SEO and AI expert Kevin C. Roy to unpack how search, content credibility, and local ranking are changing in the age of AI. They explore practical ways businesses can build authority, improve AI SEO, and stay visible in an increasingly automated information landscape. ## Key Takeaways - AI search still relies heavily on credibility, relevance, and authority signals — not just keywords. - Strong SEO foundations continue to matter for AI visibility, especially when content is logically organized and well linked. - Author bios, consistent naming, and external mentions help establish subject matter expertise for AI systems. - Internal linking and topical clusters make it easier for both search engines and AI models to understand your site. - Local businesses should not ignore Google Maps, reviews, and review responses, since local SEO remains a major visibility driver. - High-authority, relevant links from trusted sources can still boost rankings and strengthen trust signals. ## Chapters - 00:00 Introduction to AI search and digital persuasion - 02:10 Kevin C. Roy’s background in early web and SEO - 07:05 How AI search is changing visibility and rankings - 11:20 Why authority, credibility, and E-E-A-T still matter - 16:15 Building logical site structure and internal links - 21:30 Using author bios, mentions, and external proof - 27:10 Local SEO, Google Maps, and review strategies - 32:40 Final advice for businesses navigating AI and SEO
    29 September 2026, 2:40 pm
  • 39 minutes 29 seconds
    #388 AI Literacy and the Hidden Power of Digital Persuasion

    Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books.


    AI is reshaping not just what we see, but how we think, trust, and decide. Host Dr. Darren sits down with Diego Bonilla, CSU professor and AI literacy expert, to unpack digital persuasion, privacy, critical thinking, and how AI can move from personalized influence toward collective intelligence. ## Key Takeaways - **AI literacy is now leadership literacy.** Understanding how AI shapes attention, persuasion, and decision-making is essential for technologists and business leaders. - **Critical thinking applies across every medium.** From mass media to social platforms to generative AI, the core defense is the ability to question outputs and recognize bias. - **Advertising drives much of today’s digital ecosystem.** Free platforms often rely on persuasive design, which can fuel addiction, echo chambers, and cognitive overload. - **Centralized AI creates dependency risk.** Leaders should evaluate vendor lock-in, model control, and the consequences of relying on a single platform or system. - **AI can support collective intelligence.** Beyond individualized chat, AI can be designed to help groups reason together, share knowledge, and solve problems collaboratively. - **The future belongs to organizations that think together.** Teams that build judgment, literacy, and dialog will be better prepared for AI’s next wave. ## Chapters - **00:00** Welcome and AI literacy introduction - **03:12** Diego Bonilla’s background in digital media and cognition - **08:10** Why critical thinking is the foundation of media literacy - **13:25** Social media, psychographics, and persuasive design - **18:40** Echo chambers, advertising, and digital addiction - **24:05** AI companions, personalization, and behavior shaping - **29:30** Why AI is different from traditional digital media - **34:15** Centralized models, open source, and AI control risk
    24 September 2026, 12:00 am
  • More Episodes? Get the App