『AI'm Just Trying My Best』のカバーアート

AI'm Just Trying My Best

AI'm Just Trying My Best

著者： Adam Espinosa & Chevelle Bedra
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AI is everywhere. Modern Workery's Founder Chevelle Bedra and Co-Founder Adam Espinosa break down what that actually means, from pop culture to the boardroom. No jargon, no hype, just real talk. Because AI'm just trying my best, and that's all we can ask for. マネジメント・リーダーシップ リーダーシップ 経済学
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  • EP 6: The Adoption Gap: Why AI Isn't Working (Yet)"

    EP 6: The Adoption Gap: Why AI Isn't Working (Yet)"
    2026/08/13
    Episode 6: The Adoption Gap — Why AI Isn't Working (Yet) In this episode, Adam and Chevelle dig into one of the most talked-about (and most misunderstood) stats in AI right now: only about 5% of enterprises have successfully integrated generative AI into their workflows at scale, according to MIT's Gen AI Divide research. So what's actually holding the other 95% back? Adam and Chevelle break down why it almost always comes back to leadership, why "more tools" isn't the fix, and why making AI adoption fun and low-pressure might matter more than any formal training program. They also dig into McKinsey's finding that 88% of organizations are using AI in at least one business function, but most haven't scaled it, and what that gap actually means for data safety, tool sprawl, and building a real champions program. What We Cover [00:00] – Why AI adoption feels like living in "the windy city," with new shifts every week[00:02] – MIT's Gen AI Divide research: only ~5% of enterprises have successfully scaled generative AI[00:04] – Why AI adoption is a different kind of change management than past tech rollouts[00:04] – The #1 thing leaders get wrong: not setting a clear goal for what AI should actually do[00:06] – The "new ship, same rowers" problem — why swapping tools doesn't fix a strategy problem[00:09] – Why organizations chase instant ROI and why that expectation sets AI adoption up to fail[00:10] – The people side of adoption: fear, lack of incentive, and the "it's coming for my job" narrative[00:12] – Why sales is usually the easiest entry point for AI ROI, and how it spreads to other functions[00:12] – The "Jack Sparrow leadership" theory — leading with conviction even without every detail mapped out[00:13] – Why making AI adoption fun and engaging (like prompt-a-thons) beats long, dry training sessions[00:18] – McKinsey's State of AI research: 88% of organizations use AI in at least one function, but only about a third are scaling it[00:19] – The shadow AI problem — why employees are using unapproved tools even when leadership doesn't know it[00:21] – How to decide whether your org needs one AI tool or several (and why "buying more ships" usually backfires)[00:26] – Why every organization needs AI champions, and how to find and support them without over-engineering the process[00:29] – Why you should never call it a "committee" if you want people to actually show up Favorite Quotes "It's not the engine, it's not the boat, it's the people rowing the boat." — Adam "You're never gonna get the ROI if you don't know what you want them to do in the first place." — Chevelle "Committee is where fun and innovation goes to die in most organizations." — Chevelle Listen & Subscribe New episodes of AI'm Just Trying My Best drop weekly. Subscribe on Apple Podcasts, Spotify, or YouTube so you never miss an episode — and if this one hit home, share it with a leader in your life who needs to hear it.
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    31 分
  • Ep. 5: AI in Pop Culture, From the Terminator Effect to WALL-E

    Ep. 5: AI in Pop Culture, From the Terminator Effect to WALL-E
    2026/08/05

    Ep. 5: AI in Pop Culture, From the Terminator Effect to WALL-E

    On this episode of AI'm Just Trying My Best, host Adam Espinosa and Modern Workery founder Chevelle Bedra dig into how pop culture shapes the way people feel about AI, from the doom and gloom of the Terminator effect to the more hopeful robots showing up in Toy Story 5 and Big Hero 6. They talk about why a single sensational headline about an AI "escaping a sandbox" can do more to scare people off than any real risk actually justifies.

    Chevelle also shares a powerful story about rolling out Copilot to a neurodivergent employee who went from struggling to communicate to thriving at work, plus why she personifies her own AI tools ("Chatty"), how AI can work as your invisible wingman before a big presentation or client call, and a story about a job candidate who got caught reading his interview answers straight off an AI chatbot.

    What We Cover:

    [00:00] Welcome to Episode 5

    [01:00] Why people default to comparing AI to the Terminator

    [02:00] The OpenAI "sandbox escape" headline and why it got blown out of proportion

    [04:00] How AI has quietly been part of everyday life for years, through Netflix, Spotify, and bank fraud detection

    [06:00] A real-life example of AI catching fraud on a debit card purchase

    [07:00] How Copilot changed the game for a neurodivergent employee at Chevelle's former company

    [10:00] Unpacking the "Terminator effect" and why fear hurts AI adoption

    [12:00] Personifying your AI tools to make them feel more approachable

    [13:00] Positive AI representation in pop culture: Toy Story 5, Big Hero 6, and WALL-E

    [18:00] Using AI as an "invisible wingman" to prepare for calls, presentations, and speeches

    [22:00] The job candidate who got caught reading his interview answers off an AI chatbot

    [27:00] Why AI might actually be making people's cognitive skills sharper, not lazier

    Favorite Quotes:

    "It's not gonna kill you in your sleep. It's not the Terminator."

    "Copilot doesn't have a soul. It's not thinking. It's just pattern recognition."

    "If you use AI to cut corners, it's gonna make the lazy people really appear lazy."

    "You can't trust your little sister to write your book report."

    Got a topic or question you want the team to cover? Drop it in the comments.
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    29 分
  • Ep. 4: AI Leaders Assemble, Why Managers Are Stuck in the Middle

    Ep. 4: AI Leaders Assemble, Why Managers Are Stuck in the Middle
    2026/08/05

    Ep. 4: AI Leaders Assemble, Why Managers Are Stuck in the Middle

    On this episode of AI'm Just Trying My Best, host Adam Espinosa and Modern Workery founder Chevelle Bedra talk about the group getting squeezed hardest by AI adoption right now: managers. Using a surprisingly perfect comparison to Michael Scott picking a healthcare plan on The Office, they break down why leadership is pushing AI down, employees are feeling every kind of way about it, and managers are stuck in the middle trying to figure out where to even start.

    Chevelle and Adam also get into the personal side of AI (furnace repairs, car diagnostics, and Copilot sassing Chevelle's husband Tim about a car repair), why your data is already out there whether you like it or not, and the "imposter syndrome" some leaders feel when their employees are using AI better than they are. Plus, details on Chevelle's live workshop, Lead Your Team, Lose the Busywork: The AI-Powered Sales Leader. What We Cover:

    [00:00] Welcome to Episode 4

    [03:00] Using Copilot for everyday problem-solving, from furnace leaks to car repairs

    [07:00] The real difference between a Copilot search and a Google search

    [11:00] Addressing data privacy concerns and why your data is already out there

    [14:00] The Office comparison: why managers are stuck like Michael Scott picking a healthcare plan

    [19:00] The wide range of AI adoption across a team, from laggards to power users

    [22:00] The imposter syndrome problem: when leaders discount work because AI helped make it [24:00] Preview of the upcoming workshop, Lead Your Team, Lose the Busywork

    [28:00] Three things leaders should do when told to "figure out an AI strategy"

    Favorite Quotes:

    "It's impossible for you to create a strategy when you don't know the capabilities yourself."

    "You gotta stick with it. There's always a moment where people are mesmerized."

    "Your data's already out there. You're crazy to think that they're not getting it."

    "Small, practical changes make a big impact on the bottom line."

    Got a topic or question you want the team to cover? Drop it in the comments.
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    32 分
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