『EP 6: The Adoption Gap: Why AI Isn't Working (Yet)"』のカバーアート

EP 6: The Adoption Gap: Why AI Isn't Working (Yet)"

EP 6: The Adoption Gap: Why AI Isn't Working (Yet)"

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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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