エピソード

  • AI is moving fast—from chatbots to agents that act on your behalf
    2026/02/10

    In this episode of AI Lab Unfiltered, hosts Drew Veach and Pete Terryn unpack the real implications of agentic AI: systems that browse the web, make decisions, execute tasks, and continuously improve without constant human input.

    They discuss real-world use cases, emerging risks, guardrails businesses must consider, and why agentic AI could fundamentally change how software, teams, and workflows operate.

    If you’re curious about where AI is heading next—and how close we are to autonomous digital assistants—this conversation is essential listening.

    Chapters:
    (00:00)
    What Is Agentic AI and Why It Matters
    (03:12) From Chatbots to Autonomous AI Agents
    (07:45) Real Examples of AI Acting on Your Behalf
    (12:30) When AI Spends Money Without Permission
    (18:10) Human-in-the-Loop vs Full Autonomy
    (23:40) Business Use Cases for AI Agents Today
    (29:15) Why Guardrails and Policies Matter
    (34:50) AI Agents vs Traditional Software Tools
    (41:05) The Future of Agentic AI in Everyday Life
    (47:30) Final Thoughts: Where This Is All Heading

    👉 Watch more episodes to keep up with what’s next in AI.

    続きを読む 一部表示
    39 分
  • AI Can Answer Anything—But Should You Trust It?
    2026/02/03

    AI can generate answers instantly—but speed doesn’t guarantee accuracy or good judgment.

    In this episode of AI Lab Unfiltered, Drew Veach and Pete Terryn explore why trusting AI too quickly can create hidden risks. They discuss how confidence in AI outputs can be misleading, why context matters more than ever, and what responsibility leaders still carry when using AI to inform decisions.

    This conversation is for anyone using AI to think, decide, or lead—and wants to avoid mistaking answers for understanding.

    Episode Chapters:

    • (0:00) AI answers vs. real understanding
    • (0:06) Why confidence doesn’t equal correctness
    • (0:12) The danger of context-free answers
    • (0:18) When AI replaces judgment
    • (0:24) Leadership responsibility in AI use
    • (0:30) Using AI without losing accountability
    • (0:36) Final takeaways on trust and technology

    👉 Listen to more episodes of AI Lab Unfiltered to keep learning.

    続きを読む 一部表示
    34 分
  • Using AI Without Losing Judgment
    2026/01/27

    AI is now embedded in how we work—but that doesn’t mean it’s being used intentionally.

    In this episode of AI Lab Unfiltered, Drew Veach and Pete Terryn explore how widespread AI adoption is changing decision-making, leadership, and responsibility. They unpack where AI truly adds value, where it quietly creates risk, and why defaulting to automation can weaken judgment instead of strengthening it.

    This conversation is for anyone using AI in their work who wants to stay thoughtful, effective, and accountable—rather than just fast.


    Episode Chapters:

    • (0:00) AI is everywhere—now what?
    • (0:07) When adoption moves faster than understanding
    • (0:13) Using AI vs. defaulting to it
    • (0:19) The hidden cost of AI shortcuts
    • (0:25) Leadership responsibility in AI use
    • (0:31) How to use AI intentionally
    • (0:37) Final takeaways

    👉 Listen to more episodes of AI Lab Unfiltered to continue the conversation.

    続きを読む 一部表示
    43 分
  • Is AI Making Us Smarter—or Just Faster?
    2026/01/20

    AI can deliver answers instantly—but is that helping us think, or quietly replacing critical thinking altogether?

    In this episode of AI Lab Unfiltered, Drew Veach and Pete Terryn unpack how AI is reshaping decision-making and leadership. As AI becomes easier to rely on, they explore why speed doesn’t always equal clarity, and how judgment, responsibility, and context still matter more than ever.

    This conversation challenges the assumption that smarter tools automatically lead to better outcomes. If you’re using AI to guide decisions or shape strategy, this episode will help you rethink how much thinking should never be outsourced.

    Episode Chapters:

    • (0:00) Is AI improving thinking or replacing it?
    • (0:06) The risk of instant answers
    • (0:12) Speed vs. understanding
    • (0:18) Where AI truly adds value
    • (0:24) Leadership and responsibility in AI adoption
    • (0:30) When automation creates blind spots
    • (0:36) Using AI to support—not replace—thinking

    👉 Listen to more episodes of AI Lab Unfiltered to continue the conversation.

    続きを読む 一部表示
    47 分
  • Creativity, Leadership & Human Insight: Finding the AI Balance
    2026/01/13

    𝗡𝗲𝘄 𝗘𝗽𝗶𝘀𝗼𝗱𝗲 𝗗𝗿𝗼𝗽!!

    Creativity, Leadership & Human Insight: Finding the AI Balance

    Drew Veach (BizStream) and Pete Terryn (NuWave Technology Partners) talk with Brian Tol (Mutually Human) about how artificial intelligence is reshaping business and creative work. They explore the balance between speed and understanding, where AI adds value versus where human insight still matters most, and how leaders can model responsible AI use. This episode is geared toward founders, executives and operators who want to leverage AI without losing critical thinking and human connection.

    In this episode, you’ll learn:

    - Why AI is best used as a tool to support human judgement, not replace it
    - How leadership and creativity need to adapt alongside automation
    - When speed becomes a liability without context
    - Ways to build trust and transparency with AI in your organization
    - Strategies for balancing innovation with human connection

    🎧 Episode out now → https://lnkd.in/gR3UX4-x

    💡 Subscribe for more unfiltered conversations on AI. Powered by ThinkTank Thought Leadership.

    hashtag#AILeadership hashtag#DecisionMaking hashtag#HumanInTheLoop hashtag#AIRevolution

    続きを読む 一部表示
    38 分
  • The Hidden Risk of Letting AI Do the Thinking for You | Drew Veach & Pete Terryn
    2026/01/06

    AI can generate answers instantly—but what happens when it replaces judgment instead of supporting it?

    In this episode of AI Lab Unfiltered, Drew Veach and Pete Terryn explore the unintended consequences of over-relying on AI for thinking, decision-making, and leadership. They discuss why speed without understanding creates risk, how leaders should model responsible AI use, and why critical thinking still matters more than automation.

    This conversation is for founders, executives, and operators who want to leverage AI without outsourcing responsibility.

    In this episode, you’ll learn:
    - Why AI answers can weaken judgment if used incorrectly
    - The leadership responsibility behind AI adoption
    - How speed can become a liability without context
    - When AI supports thinking—and when it replaces it
    - How to build better decision-making in an AI-first world

    Chapters:
    (00:00) Welcome to AI Lab Unfiltered
    (00:39) Is AI Replacing Our Ability to Think?
    (03:12) Speed vs. Understanding in Decision-Making
    (05:58) Why Instant Answers Create Hidden Risk
    (08:44) Leadership Responsibility in AI Adoption
    (11:32) When Trust in AI Goes Too Far
    (14:18) Teaching Teams to Think Before Prompting
    (17:05) Using AI as Support, Not a Substitute
    (19:50) The Future of Judgment in an AI World
    (22:30) Final Takeaways for Leaders

    続きを読む 一部表示
    44 分
  • Why AI Needs Better Thinking, Not Faster Answers | Drew Veach & Pete Terryn
    2025/12/30

    AI is moving faster than ever—but are we actually thinking better because of it?

    In this episode of AI Lab Unfiltered, hosts Drew Veach and Pete Terryn unpack the growing tension between speed and judgment in an AI-driven world. They explore how instant answers can erode critical thinking, why leaders must take responsibility for how AI is used, and what happens when technology replaces reflection instead of supporting it.

    This conversation is for leaders, founders, and operators who want to use AI as a tool—not a substitute for thinking.

    In this episode, you’ll learn:
    - Why faster answers don’t equal better decisions
    - How AI can weaken—or strengthen—critical thinking
    - The leadership responsibility behind AI adoption
    - Where trust in AI becomes dangerous
    - How to stay intentional in an automated world

    Chapters:
    (00:00) Welcome to AI Lab Unfiltered
    (00:36) Are Faster Answers Making Us Worse Thinkers?
    (03:05) The Tradeoff Between Speed and Understanding
    (05:52) Why AI Can Short-Circuit Critical Thinking
    (08:40) Trusting Technology vs. Taking Responsibility
    (11:30) How Leaders Should Use AI Intentionally
    (14:15) When AI Helps Judgment—and When It Replaces It
    (17:00) Teaching Teams to Think First
    (19:48) The Human Cost of Over-Automation
    (22:20) Final Thoughts: AI as Support, Not a Crutch

    続きを読む 一部表示
    53 分
  • AI Isn’t Making Us Smarter—Here’s What Leaders Are Missing | Drew Veach & Pete Terryn
    2025/12/23

    Is AI helping us think better—or quietly replacing our ability to think at all?

    In this episode of AI Lab Unfiltered, hosts Drew Veach and Pete Terryn dig into one of the most important questions leaders face today: how AI is reshaping critical thinking, decision-making, and responsibility inside organizations.

    They break down why instant answers can weaken judgment, how leaders should model better thinking in an AI-driven world, and why responsibility—not technology—is the real differentiator moving forward.

    This conversation is essential for founders, executives, and operators who want to use AI as leverage without outsourcing their thinking.

    In this episode, you’ll learn:
    - How AI changes the way humans think and decide
    - Why critical thinking is declining—and how to rebuild it
    - The leadership responsibility behind AI adoption
    - When AI accelerates insight vs. when it creates risk
    - How to stay human in an automated world

    Chapters:
    (00:00) Welcome to AI Lab Unfiltered
    (00:41) Is AI Replacing Critical Thinking?
    (03:18) The Danger of Instant Answers
    (06:05) What the MIT Study Reveals About AI Use
    (08:52) Responsibility vs. Blind Trust in Technology
    (11:40) How Leaders Should Model Better Thinking
    (14:25) When AI Helps—and When It Hurts
    (17:10) Teaching Teams to Think Before Prompting
    (19:55) The Human Cost of Over-Automation
    (22:30) Final Takeaways for Leaders Using AI

    続きを読む 一部表示
    42 分