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Future-Focused with Christopher Lind

Christopher Lind
Future-Focused with Christopher Lind
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  • AI Drive-Thru Backlash | Declining AI Adoption? | KPMG’s 100-Page AI Prompt | AI Coaching Risks
    Happy Friday, everyone! I'm back with another round of updates. This week I've got four stories that capture the messy, fascinating reality of AI right now. From fast food drive-thrus to research to consulting giants, the headlines tell one story, while what's underneath is where leaders need to focus.Here's a quick rundown. Taco Bell’s AI experiment went viral for all the wrong reasons, but there’s more behind it than memes. Then, I look at new adoption data from the US Census Bureau that some are using to argue AI is already slowing down. I’ll also break down KPMG’s much-mocked 100-page prompt, sharing why I think it’s actually a model of how to do this well. Finally, I close with a case study on AI coaching almost going sideways and how shifting the approach created a win instead of a talent drain.With that, let’s get into it.⸻Taco Bell’s AI Drive-Thru DilemmaHeadlines are eating up the viral “18,000 cups of water” order. However, nobody seems to catch that Taco Bell has already processed over 2 million successful AI-assisted orders. This makes the story more complicated. The conclusion shouldn’t be scrapping AI. It’s about designing smarter safeguards, balancing human oversight, and avoiding the trap of binary “AI or no AI” thinking.⸻Is AI Adoption Really Declining?New data from Apollo suggests AI adoption is trending downward in larger companies, sparking predictions of a coming slowdown. Unfortunately, the numbers don’t tell the whole story. Smaller companies are still on the rise. Add to that, even the “decline” in big companies may not be what it seems. Many are using AI so much it’s becoming invisible. I explain why this is more about maturity than decline and explain what opportunities smaller players now have.⸻KPMG’s 100-Page Prompt: A Joke or a Blueprint?Some mocked KPMG for creating a “hundred-page prompt,” but what they actually did was map complex workflows into AI-readable processes. This isn’t busywork; it’s the future of enterprise AI. By going slow to go fast, KPMG is showing what serious implementation looks like, freeing humans to focus on the “chewy problems” that matter most.⸻Case Study: Rethinking AI CoachingA client nearly rolled out AI coaching without realizing it could accelerate attrition by empowering talent to leave. Thankfully, by analyzing engagement data with AI first, we identified cultural risks and reshaped the rollout to support, not undermine, the workforce. The result: stronger coaching outcomes and a healthier organization.⸻If this episode was helpful, would you share it with someone? Leave a rating, drop a comment with your thoughts, and follow for future updates that help you lead with clarity in the AI age. And, if you’d take me out for a coffee to say thanks, you can do that here: https://www.buymeacoffee.com/christopherlind—Show Notes:In this Weekly Update, Christopher Lind breaks down Taco Bell’s viral AI drive-thru story, explains the truth behind recent AI adoption data, highlights why KPMG’s 100-page prompt may be a model for the future, and shares a real-world case study on AI coaching that shows why context is everything.Timestamps:00:00 – Introduction and Welcome01:18 - Episode Rundown02:45 – Taco Bell’s AI Drive-Thru Dilemma19:51 – Is AI Adoption Really Declining?31:57 – KPMG’s 100-Page Prompt Blueprint42:22 – Case Study: AI Coaching and Attrition Risk49:55 – Final Takeaways#AItransformation #FutureOfWork #DigitalLeadership #AIadoption #HumanCenteredAI
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  • 95% AI Project Failures | DeepSeek vs Big Tech | Liquid AI on Mobile | Google Mango Breakthrough
    Happy Friday, everyone! Hopefully you got some time to rest and recharge over the Labor Day weekend. After a much needed break, I’m back with a packed lineup of four big updates I feel are worth you attention. First up, MIT dropped a stat that “95% of AI pilots fail.” While the headlines are misleading, the real story raises deeper questions about how companies are approaching AI. Then, I break down some major shifts in the model race, including DeepSeek 3.1 and Liquid AI’s completely new architecture. Finally, we’ll talk about Google Mango and why it could be one of the most important breakthroughs for connecting the dots across complex systems.With that, let’s get into it.⸻What MIT Really Found in Its AI ReportMIT’s Media Lab released a report claiming 95% of AI pilots fail, and as you can imagine, the number spread like wildfire. But when you dig deeper, the reality is not just about the tech. Underneath the surface, there’s a lot of insights on the humans leading and managing the projects. Interestingly, general-purpose LLM pilots succeed at a much higher clip, while specialized use cases fail when leaders skip the basics. But that’s not it. I unpack what the data really says, why companies are at risk even if they pick the right tech, and shine a light on what every individual should take away from it.⸻The Model Landscape Is Shifting FastThe hype around GPT-5 crashed faster than the Hindenburg, especially since hot on the heels of it DeepSeek 3.1 hit the scene with open-source power, local install options, and prices that undercut the competition by an insane order of magnitude. Meanwhile, Liquid AI is rethinking AI architecture entirely, creating models that can run efficiently on mobile devices without draining resources. I break down what these shifts mean for businesses, why cost and accessibility matter, and how leaders should think about the expanding AI ecosystem.⸻Google Mango: A Breakthrough in ComplexityGoogle’s has a new, also not so new, programming language, Mango, which promises to unify access across fragmented databases. Think of it as a universal interpreter that can make sense of siloed systems as if they were one. For organizations, this has the potential to change the game by helping both people and AI work more effectively across complexity. However, despite what some headlines say, it’s not the end of human work. I share why context still matters, what risks leaders need to watch for, and how to avoid overhyping this development.⸻A Positive Use Case: Sales Ops TransformationTo close things out, I made some time to share how a failed AI initiative in sales operations was turned around by focusing on context, people, and process. Instead of falling into the 95%, the team got real efficiency gains once the basics were in place. It’s proof that specialized AI can succeed when done right.⸻If this episode was helpful, would you share it with someone? Leave a rating, drop a comment with your thoughts, and follow for future updates that help you lead with clarity in the AI age. And, if you’d take me out for a coffee to say thanks, you can do that here: https://www.buymeacoffee.com/christopherlind—Show Notes:In this Weekly Update, Christopher Lind breaks down MIT’s claim that 95% of AI pilots fail, highlights the major shifts happening in the model landscape with DeepSeek and Liquid AI, and explains why Google Mango could be one of the most important tools for managing complexity in the enterprise. He also shares a real-world example of a sales ops project that proves specialized AI can succeed with the right approach.Timestamps:00:00 – Introduction and Welcome01:28 – Overview of Today’s Topics03:05 – MIT’s Report on AI Pilot Failures23:39 – The New Model Landscape: DeepSeek and Liquid AI40:14 – Google Mango and Why It Matters47:48 – Positive AI Use Case in Sales Ops53:25 – Final Thoughts#AItransformation #FutureOfWork #DigitalLeadership #AIrisks #HumanCenteredAI
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  • Public Service Announcement: The Alarming Rise of AI Panic Decisions and Reckless Advice
    Happy Friday, everyone! While preparing to head into an extended Labor Day weekend here in the U.S., I wasn’t originally planning to record an episode. However, something’s been building that I couldn’t ignore. So, this week’s update is a bit different. Shorter. Less news. But arguably more important.Think of this one as a public service announcement, because I’ve been noticing an alarming trend both in the headlines and in private conversations. People are starting to make life-altering decisions because of AI fear. And unfortunately, much of that fear is being fueled by truly awful advice from high-level tech leaders.So in this abbreviated episode, I break down two growing trends that I believe are putting people at real risk. It’s not because of AI itself, but because of how people are reacting to it.With that, let’s get into it.⸻The Dangerous Rise of AI Panic DecisionsSome are dropping out of grad school. Others are cashing out their retirement accounts. And many more are quietly rearranging their lives because they believe the AI end times are near. In this first segment, I start by breaking down the realities of the situation then focusing on some real stories. My goal is to share why these reactions, though in some ways grounded in reality and emotionally understandable, can lead to long-term regret. Fear may be loud, but it’s a terrible strategy.⸻Terrible Advice from the Top: Why Degrees Still Matter (Sometimes)A Google GenAI executive recently went on record saying young people shouldn’t even bother getting law or medical degrees. And, he’s not alone. There’s a rising wave of tech voices calling for people to abandon traditional career paths altogether. I unpack why this advice is not only reckless, but dangerously out of touch with how work (and systems) actually operate today. Like many things, there are glimmers of truth blown way out of proportion. The goal here isn’t to defend degrees but explain why discernment is more important than ever.⸻If this episode was helpful, would you share it with someone? Leave a rating, drop a comment with your thoughts, and follow for future updates that go beyond the headlines and help you lead with clarity in the AI age. And, if you’d take me out for a coffee to say thanks, you can do that here:👉 https://www.buymeacoffee.com/christopherlind—Show Notes:In this special Labor Day edition, Christopher Lind shares a public service announcement on the dangerous decisions people are making in response to AI fear and the equally dangerous advice fueling the panic. This episode covers short-term thinking, long-term consequences, and how to stay grounded in a world of uncertainty.Timestamps:00:00 – Introduction & Why This Week is Different01:19 - PSA: Rise in Concerning Trends02:29 – AI Panic Decisions Are Spreading18:57 – Bad Advice from Google GenAI Exec32:07 – Final Reflections & A Better Way Forward#AItransformation #HumanCenteredLeadership #DigitalDiscernment #FutureOfWork #LeadershipMatters
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  • Meta’s AI Training Leak | Godfather of AI Pushes “Mommy AI” | Toxic Work Demands Driving Moms Out
    Happy Friday, everyone! Congrats on making it through another week, and what a week it was. This week I had some big topics, so I ran out of time for the positive use-case, but I’ll fit it in next week.Here’s a quick rundown of the topics with more detail below. First, Meta had an AI policy doc lead, and boy did it tell a story while sparking outrage and raising deeper questions about what’s really being hardwired into the systems we all use. Then I touch on Geoffrey Hinton, the “Godfather of AI,” and his controversial idea that AI should have maternal instincts. Finally, I dig into the growing wave of toxic work expectations, from 80-hour demands to the exodus of young mothers from the workforce.With that, let’s get into it.⸻Looking Beyond the Hype of Meta’s Leaked AI Policy GuidelinesA Reuters report exposed Meta’s internal guidelines on training AI to respond to sensitive prompts, including “sensual” interactions with children and handling of protected class subjects. People were pissed and rightly so. However, I break down why the real problem isn’t the prompts themselves, but the logic being approved behind them. This is much bigger than the optics of some questionable guidelines; it’s about illegal reasoning being baked into the foundation of the model.⸻The Godfather of AI Wants “Maternal” MachinesGeoffrey Hinton, one of the pioneers of AI, is popping up everywhere with his suggestion that training AI with motherly instincts is the solution to preventing it from wiping out humanity. Candidly, I think his logic is off for way more reasons than the cringe idea of AI acting like our mommies. I unpack why this framing is flawed, what leaders should actually take away from it, and why we need to move away from solutions that focus on further humanizing AI. It’s to stop treating AI like a human in the first place.⸻Unhealthy Work Demands and the Rising Exodus of Young MomsAn AI startup recently gave its employees a shocking ultimatum: work 80 hours a week or leave. What happened to AI eliminating the need for human work? Meanwhile, data shows young mothers are exiting the workforce at troubling rates, completely reversing all the gains we saw during the pandemic. I connect the dots between these headlines, AI’s role in rise of unsustainable work expectations, and the long-term damage this entire mindset creates for businesses and society.⸻If this episode was helpful, would you share it with someone? Leave a rating, drop a comment with your thoughts, and follow for future updates that go beyond the headlines and help you lead with clarity in the AI age. And, if you’d take me out for a coffee to say thanks, you can do that here: https://www.buymeacoffee.com/christopherlind—Show Notes:In this Weekly Update, Christopher Lind unpacks the disturbing revelations from Meta’s leaked AI training docs, challenges Geoffrey Hinton’s call for “maternal AI,” and breaks down the growing trend of unsustainable work expectations, especially the impact on mothers in the workforce.Timestamps:00:00 – Introduction and Welcome01:51 – Overview of Today’s Topics03:19 – Meta’s AI Training Docs Leak27:53 – Geoffrey Hinton and the “Maternal AI” Proposal39:48 – Toxic Work Demands and the Workforce Exodus53:35 – Final Thoughts#AIethics #AIrisks #DigitalLeadership #HumanCenteredAI #FutureOfWork
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  • OpenAI GPT-5 Breakdown | AI Dependency Warning | Grok4 Spicy Mode | A Human-Centered Marketing Win
    Happy Friday, everyone! This week’s update is another mix of excitement, concern, and some very real talk about what’s ahead. GPT-5 finally dropped, and while it’s an impressive step forward in some areas, the reaction to it says as much about us as it does about the technology itself. The reaction includes more hype, plenty of disappointment, and, more concerning, a glimpse into just how emotionally tied people are becoming to AI tools.I’m also addressing a “spicy” update in one of the big AI platforms that’s not just a bad idea but a societal accelerant for a problem already hurting a lot of people. And in keeping with my commitment to balance risk with reality, I close with a real-world AI win. I’ll talk through a project where AI transformed a marketing team’s effectiveness without losing the human touch.With that, let’s get into it.⸻GPT-5: Reality vs. Hype, and What It Actually Means for YouThere have been months of hype leading up to it, and last week the release finally came. It supposedly includes fewer hallucinations, better performance in coding and math, and improved advice in sensitive areas like health and law. However, many are frustrated that it didn’t deliver the world-changing leap that was promised.e I break down where it really shines, where it still falls short, and why “reduced hallucination” doesn’t mean “always right.”⸻The Hidden Risk GPT-5 Just ExposedGoing a bit deeper with GPT-5, I zoom in because the biggest story from the update isn’t technical; it’s human. The public’s emotional reaction to losing certain “personality” traits in GPT-4o revealed how many people rely on AI for encouragement and affirmation. While Altman already brought 4o back, I’m not sure that’s a good thing. Dependency isn’t just risky for individuals. It has real implications for leaders, organizations, and anyone navigating digital transformation.⸻Grok’s Spicy Mode and the Dangerous Illusion of a “Safer” AlternativeOne AI platform just made explicit content generation a built-in feature, and it’s not surprisingly exploding in popularity. Everyone seems very interested in “experimenting” with what’s possible. I cut through the marketing spin, explain why this isn’t a safer alternative, and unpack what leaders, parents, and IT teams need to know about the new risks it creates inside organizations and homes alike.⸻A Positive AI Story: Marketing Transformation Without the SlopThere’s always bright spots though, and I want to amplify them. A mid-sized company brought me in to help them use AI without falling into the trap of generic, mass-produced content. The result? A data-driven market research capability they’d never had, streamlined workflows, faster legal approvals, and space for true A/B testing. All while keeping people, not prompts, at the center of the work.⸻If this episode was helpful, would you share it with someone? Leave a rating, drop a comment with your thoughts, and follow for future updates that go beyond the headlines and help you lead with clarity in the AI age. And, if you’d take me out for a coffee to say thanks, you can do that here: https://www.buymeacoffee.com/christopherlind—Show Notes:In this Weekly Update, Christopher Lind breaks down the GPT-5 release, separating reality from hype and exploring its deeper human implications. He tackles the troubling rise of emotional dependency on AI, then addresses the launch of Grok’s Spicy Mode and why it’s more harmful than helpful. The episode closes with a real-world example of AI done right in marketing, streamlining operations, growing talent, and driving results without losing the human touch.Timestamps:00:00 - Introduction and Welcome01:14 - Overview of Today's Topics02:58 - GPT-5 Rundown22:52 - What GPT-5 Revealed About Emotional Dependency on AI36:09 - Grok4 Spicy Mode & AI in Adult Content48:23 - Positive Use of AI in Marketing55:04 - Conclusion#AIethics #AIrisks #DigitalLeadership #HumanCenteredAI #FutureOfWork
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About Future-Focused with Christopher Lind

Join Christopher as he navigates the diverse intersection of business, technology, and the human experience. And, to be clear, the purpose isn’t just to explore technologies but to unravel the profound ways these tech advancements are reshaping our lives, work, and interactions. We dive into the heart of digital transformation, the human side of tech evolution, and the synchronization that drives innovation and business success. Also, be sure to check out my Substack for weekly, digestible reflections on all the latest happenings. https://christopherlind.substack.com
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