『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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10月19日まで。※適用条件あり
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.© 2026 AI'm Just Trying My Best マネジメント 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 #12: AI Champions- The most important people that no one budgets for
    2026/10/19

    Are your AI licenses sitting unused? Ready to build AI champions inside your organization? Book a free discovery call with Modern Workery 👉 https://modernworkery.com/book

    Most organizations budget for AI licenses. Very few budget for the people who make those licenses worth it. In this episode, Adam and Chevelle make the case for AI champion programs, starting with a lesson from youth football about learning from people who have actually done it. They get into why AI is the hardest rollout Chevelle has seen in 20 years of change management, how to spot the naturally curious people already in your organization, and the two questions every employee asks about AI. They also cover why executives can chart the course but can't answer the how, why so many champion programs stall after launch, and how to make being a champion something people actually want to do. Plus a detour into the best corporate swag they've ever received.

    0:00 Welcome and a late night with a new AI tool
    1:00 What youth football teaches us about AI adoption
    3:00 Why we lean on people we trust
    3:50 Why AI is the hardest rollout yet
    4:30 Finding AI talent when experts are purple unicorns
    5:00 The curious people already in your organization
    6:00 Scaling from your cubicle mate to 50 people
    7:00 How to spot your champions
    8:00 Look in every corner, not just leadership
    8:45 Adam's early Copilot experience and generic training
    10:00 Corporate jargon detox
    10:45 The two questions every employee asks about AI
    11:45 Teach them to fish
    12:50 The adoption gap and the problem of scale
    14:15 Why leaders can't be your only champions
    15:15 How the work really gets done vs the SOP
    16:45 Why organizations rarely budget for champion programs
    18:20 Where to start, and why not to over-engineer it
    19:30 Launching is easy, sustaining is hard
    20:45 Why champion programs stall
    21:45 Keeping champions current as AI keeps changing
    22:15 Protect your champions' time and make it easy
    23:45 Recognition, certificates, and what champions get in return
    25:45 Swag people actually want
    28:00 Reward your champions

    ABOUT MODERN WORKERY
    Modern Workery is a Metro Detroit-based AI adoption and strategy firm and official Microsoft Partner. We help small and midsize businesses roll out AI tools like Microsoft Copilot in a way their people actually use, through strategy, training, and ongoing support.

    🌐 Website
    https://modernworkery.com

    💼 Modern Workery on LinkedIn
    https://www.linkedin.com/company/modern-workery/

    MEET THE HOSTS
    Chevelle Bedra, Founder and Principal AI Strategist
    https://www.linkedin.com/in/chevellebedra/

    Adam Espinosa, Co-Founder and VP of Development and Client Growth
    https://www.linkedin.com/in/adamespinosa2019/

    LISTEN ON
    🎧 Apple Podcasts
    https://podcasts.apple.com/us/podcast/id6798381232

    🎧 Spotify
    https://open.spotify.com/show/03421I71FQOF81FjIdaacB

    🎧 Amazon Music
    https://music.amazon.com/podcasts/629d33cb-6b17-43bd-8fd5-cf1d3f60a1f7

    #AIAdoption #AIChampions #MicrosoftCopilot #Leadership #claude #Muse #Copilot #AI #Anthropic #OpenAI #ChatGPT #Futureofwork #AIpodcast #Modernworkery

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    29 分
  • Episode #11-The Wonder and Worry of AI: Why People React So Differently
    2026/10/09

    Bought Copilot. Nobody uses it? Modern Workery helps organizations build AI Champion networks and gives champions the practical support to keep adoption moving.

    Book a fit call 👉 https://bookings.cloud.microsoft/book/ModernWorkeryDiscoveryCall@ModernWorkery.com/s/3OSHFvPMm0eRGXe97ckzkg2

    Turn on the news or scroll social media and AI is either saving the world or ending it. Inside your organization, people feel both. Adam and Chevelle dig into the wonder and the worry of AI, why it hits so much harder than learning a new spreadsheet tool, and why research shows the more people use AI, the less they worry overall and the more specific their concerns become. They share the stories that never make the headlines, from an employee whose work life turned around with Copilot to Microsoft's Seeing AI app to a washer and dryer saga that saved Adam real money. Then they get practical about what leaders can do. Acknowledge real concerns, be clear about your intentions, give people a place to share their AI wins, and walk side by side with your team through the change. That's exactly the kind of local, trusted support a champion network is built to provide.

    0:00 Welcome and corporate speak at home

    1:40 The wonder and the worry of AI

    2:00 Why AI is more emotional than learning Excel

    4:20 Work, identity, and the fear of being replaced

    7:50 Why we only hear the bad news (the Tesla example)

    10:15 Using AI without knowing what a prompt is

    11:10 How reactions to AI have evolved

    12:15 The more you use AI, the more specific your worries get

    13:20 When a networking event turned into a cage match

    15:00 Y2K and our history of fearing change

    15:50 In the absence of knowledge, we create our own narrative

    17:15 "What do you do?" and being seen as part of the problem

    18:30 How Copilot changed one employee's work life

    20:00 Microsoft Seeing AI and the stories we don't hear

    22:00 Adam's washer and dryer Copilot win

    23:15 AI as a homework helper for parents 24:50 How leaders can balance worry and wonder

    27:30 Don't pile on more work, celebrate the wins

    28:15 Walking through the haunted forest together

    ABOUT MODERN WORKERY

    Modern Workery helps organizations build and empower AI Champion networks. We give leaders a practical operating model and give champions the playbooks, coaching, and ready-to-use resources to help colleagues apply AI to real work. Process first. Small wins first. Then build from there. Practical AI. Real work. Real results.

    🌐 Website https://modernworkery.com

    💼 Modern Workery on LinkedIn https://www.linkedin.com/company/modern-workery/

    MEET THE HOSTS

    Chevelle Bedra, Founder and Principal AI Strategist Chevelle brings experience leading a large enterprise Microsoft Copilot rollout. 77,000 users. 93% adoption. 2 months. https://www.linkedin.com/in/chevellebedra/

    Adam Espinosa, Co-Founder and VP of Development and Client Growth https://www.linkedin.com/in/adamespinosa2019/

    LISTEN ON

    🎧 Apple Podcasts https://podcasts.apple.com/us/podcast/id6798381232

    🎧 Spotify https://open.spotify.com/show/03421I71FQOF81FjIdaacB

    🎧 Amazon Music https://music.amazon.com/podcasts/629d33cb-6b17-43bd-8fd5-cf1d3f60a1f7

    #AIChampions #MicrosoftCopilot #Leadership

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    30 分
  • Episode #10- AI Change Fatigue, How Leaders Can Keep Up With the Pace of AI
    2026/10/01
    Episode 10, AI Change Fatigue, How Leaders Can Keep Up With the Pace of AI Fall has arrived in Metro Detroit, and just like the seasons, AI keeps changing. The difference is nobody enjoys watching their AI tools change the way they enjoy watching the leaves turn. Adam and Chevelle dig into original research Chevelle pulled together charting every release from OpenAI, Anthropic, Google Gemini, and Microsoft Copilot since ChatGPT went public, and the number is staggering. They talk about why the small updates can be more disruptive than the big model launches, why our brains are wired to resist change, and what leaders can actually do to keep their teams from shutting down when the pace feels impossible. What We Cover [00:00:00] Sweater weather and football season. Adam and Chevelle kick things off with the first days of fall in Michigan, and why the Midwest makes up for February through April. [00:02:00] From changing seasons to changing AI. Adam asks how anyone keeps up with the pace of AI, and Chevelle compares it to the I Love Lucy chocolate factory scene. [00:03:30] Quantifying the chaos. Chevelle's research tracked every release from the major enterprise AI providers since December 2022, adding up to roughly 1,394 changes. [00:05:00] Big dots and little dots. Reading the chart, where large circles show major model releases and small ones show smaller updates. Why those small changes may matter more to your people. [00:06:00] Does release rhythm matter? Microsoft tends to bundle its updates monthly while others look more sporadic. Chevelle explains the reporting differences and why predictable change is easier to digest. [00:08:00] Out of date in three days. The research was finished on September 20th and was already behind by the 23rd, which is exactly why organizations need partners to help them keep up. [00:09:30] Nobody likes change except a wet baby. Our brains work like prediction engines, so every moved button or renamed feature forces people to restart the learning process. [00:12:30] The cleaning service problem. Adam compares AI updates to coming home and finding everything moved. Is the cleanliness worth not knowing where your stuff is? [00:13:30] The bank line lesson. Chevelle shares what happened when she changed how customers lined up as a branch manager, and why AI's inconsistency makes change even harder. [00:16:30] What leaders can do, starting with acceptance. You will never know it all, and that's hard for leaders who like to be in control. [00:17:30] Control the pace. Use release filters where you can, sort updates into watch, test, or ignore, and yes, Tuesdays seem to be model release day. [00:18:45] You don't need a rollout plan for every feature. Decide what deserves training and communication, and bring your employees to the table to help decide. [00:20:00] Communicate on your terms. Replace 30 announcements with one monthly update, and give curious employees a SharePoint page or wiki to check for more. [00:20:45] Training is never one and done. Continuous refreshers at every skill level beat a single upfront training session. [00:22:00] The time savings paradox. Saving 20 minutes on a task doesn't help if people spend six hours figuring it out before it changes again. [00:23:00] Teach the outcome, not the clicks. Chevelle's baking analogy explains why knowing the goal lets people improvise when the steps change. [00:24:30] This isn't a trend. Adam on why the basics you learn now build the foundation for everything ahead, and why leaders can't afford to fall behind their own kids. [00:26:00] Start small. Pick one tool and one use case, because trying to learn everything is like drinking from 17 fire hoses. [00:27:30] Learn from each other. Build a champion network, compare prompts with peers, and stop waiting for a formal training every time something changes. [00:29:00] Curious, not frustrated. Individual and organizational capacity for change, and the simplest advice of the episode. Control what you can control. Favorite Quotes "Nobody likes change except for a wet baby." Chevelle "Is the cleanliness worth the stress and anxiety of now not knowing where my stuff is?" Adam "Just resign to the fact that you're never gonna know it all." Chevelle "It's like drinking from 17 fire hoses." Chevelle "Be curious, not frustrated." Chevelle "Control what you can control." Chevelle and Adam Links 📅 Book a free discovery call or speaking engagement with Modern Workery https://bookings.cloud.microsoft/book/ModernWorkeryDiscoveryCall@ModernWorkery.com/s/3OSHFvPMm0eRGXe97ckzkg2 📊 Chevelle's AI release chart https://www.linkedin.com/posts/modern-workery_everyone-says-ai-is-moving-fast-this-is-activity-7508540982565658627-w0KX 🌐 Modern Workery website https://modernworkery.com 💼 Modern Workery on LinkedIn https://www.linkedin.com/company/modern-workery/ Connect with Chevelle Bedra, Founder and Principal AI Strategist https://www.linkedin.com/in/chevellebedra/ Connect with ...
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    30 分
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