Chris Gee's Linkedin Analytics

Google's global search market share dropped below 90% in late 2024 𝗮𝗻𝗱 𝗵𝗮𝘀𝗻'𝘁 𝗿𝗲𝗰𝗼𝘃𝗲𝗿𝗲𝗱 𝘀𝗶𝗻𝗰𝗲. AI is having a massive impact on Google's business, and we're not discussing that enough. I've seen Google described as your company's true home page. A 2021 study found that 𝟴𝟭.𝟴% 𝗼𝗳 𝗔𝗺𝗲𝗿𝗶𝗰𝗮𝗻𝘀 𝗺𝗼𝘀𝘁𝗹𝘆 𝘁𝗿𝘂𝘀𝘁 𝗚𝗼𝗼𝗴𝗹𝗲 𝘀𝗲𝗮𝗿𝗰𝗵 𝗿𝗲𝘀𝘂𝗹𝘁𝘀. Like it or not, Google has become a source of truth for consumers. And it's losing market share. Overnight. What does this shift mean For reputation? For discoverability? For driving purchase? 𝗔𝗜 𝗶𝘀 𝘂𝗻𝗹𝗶𝗸𝗲𝗹𝘆 𝘁𝗼 𝗿𝗲𝗽𝗹𝗮𝗰𝗲 𝗮𝗹𝗹 𝗼𝗳 𝗼𝘂𝗿 𝗷𝗼𝗯𝘀. 𝗛𝗼𝘄𝗲𝘃𝗲𝗿, 𝗶𝘁 𝗶𝘀 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝘂𝗽𝗲𝗻𝗱𝗶𝗻𝗴 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗮𝗻𝗱 𝗽𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗰𝗼𝗿𝗽𝗼𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗹𝗶𝗸𝗲 𝗚𝗼𝗼𝗴𝗹𝗲 𝗮𝗿𝗲 𝗻𝗼𝘁 𝘀𝗮𝗳𝗲. Still holding out? You should really start learning how to use AI today. It's early days. We're just getting started. What are your thoughts? Let me know in the comments! 👇🏾👇🏾👇🏾

When students "cheat" with AI, it's not a tech problem. 𝗜𝘁'𝘀 𝗮 𝘃𝗮𝗹𝘂𝗲𝘀 𝗽𝗿𝗼𝗯𝗹𝗲𝗺. Neil deGrasse Tyson said it best: "𝗪𝗵𝗲𝗻 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 𝗰𝗵𝗲𝗮𝘁 𝗼𝗻 𝗲𝘅𝗮𝗺𝘀, 𝗶𝘁'𝘀 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗼𝘂𝗿 𝘀𝗰𝗵𝗼𝗼𝗹 𝘀𝘆𝘀𝘁𝗲𝗺 𝘃𝗮𝗹𝘂𝗲𝘀 𝗴𝗿𝗮𝗱𝗲𝘀 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 𝘃𝗮𝗹𝘂𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴." The truth is that we've taught students to chase test scores. 🚫 Not to think critically. 🚫 Not to ask good questions. 🚫 Not to value the process of learning itself. It's 2025, and we're still measuring success by correct answers, not original thought. So, what happens when students start using ChatGPT? We panic. We punish. We miss the point. 𝗕𝘂𝘁 𝘄𝗵𝗮𝘁 𝗶𝗳 𝗶𝗻𝘀𝘁𝗲𝗮𝗱... 𝗪𝗲 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗲𝗱 𝘁𝗵𝗲𝗶𝗿 𝗽𝗿𝗼𝗺𝗽𝘁𝘀, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝘁𝗵𝗲𝗶𝗿 𝗮𝗻𝘀𝘄𝗲𝗿𝘀? → Grade their questions → Incentivize intellectual curiosity → Reward the structure of their thinking 𝗧𝗵𝗮𝘁'𝘀 𝗵𝗼𝘄 𝘆𝗼𝘂 𝗺𝗮𝗸𝗲 𝗔𝗜 𝗽𝗮𝗿𝘁 𝗼𝗳 𝘁𝗵𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗷𝗼𝘂𝗿𝗻𝗲𝘆, 𝗻𝗼𝘁 𝗮 𝘀𝗵𝗼𝗿𝘁𝗰𝘂𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗶𝘁. Maybe then, students will value learning more than grades. 🤷🏾 I'm curious. Do you think grading prompts could help transform education? Let me know in the comments! 👇🏾👇🏾👇🏾 P.S. Repost this ♻️ if you're ready to rethink education.

One of the biggest surprises when teaching AI to PR professionals? 𝗜𝘁'𝘀 𝗻𝗼𝘁 𝘁𝗵𝗲 𝘁𝗲𝗰𝗵 𝘁𝗵𝗮𝘁 𝗵𝗼𝗹𝗱𝘀 𝘁𝗵𝗲𝗺 𝗯𝗮𝗰𝗸... 𝗜𝘁'𝘀 𝗴𝗶𝘃𝗶𝗻𝗴 𝘁𝗵𝗲𝗺𝘀𝗲𝗹𝘃𝗲𝘀 𝗽𝗲𝗿𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝘁𝗼 𝘁𝗵𝗶𝗻𝗸 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁𝗹𝘆. Every time I run an AI workshop, there's this exact moment: Someone realizes that → 𝗔𝗜 𝗶𝘀𝗻'𝘁 𝗵𝗲𝗿𝗲 𝘁𝗼 𝗿𝗲𝗽𝗹𝗮𝗰𝗲 𝘆𝗼𝘂𝗿 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴. 𝗜𝘁'𝘀 𝗵𝗲𝗿𝗲 𝘁𝗼 𝗲𝘅𝗽𝗮𝗻𝗱 𝗶𝘁. And when that clicks? ✅ The hesitation disappears. ✅ The questions get bolder: "What if we reimagined the entire media pitch process?" "What if we let AI handle research so we can focus on storytelling?" 𝗧𝗵𝗼𝘀𝗲 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗺𝗼𝗺𝗲𝗻𝘁𝘀 𝗜 𝗹𝗶𝘃𝗲 𝗳𝗼𝗿! When confidence takes over. When creativity comes back. Has your team had that breakthrough yet? If not → let's talk about how to get you there. If so, let me know in the comments! 👇🏾👇🏾👇🏾

When desktop publishing arrived in the 1980s, designers panicked. And I was one of them! I started in paste-up. Cutting and aligning visual elements by hand. 𝗢𝘃𝗲𝗿𝗻𝗶𝗴𝗵𝘁, 𝗱𝗲𝘀𝗸𝘁𝗼𝗽 𝗽𝘂𝗯𝗹𝗶𝘀𝗵𝗶𝗻𝗴 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗰𝗵𝗮𝗻𝗴𝗲𝗱 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴. The fear? We’d all be 𝗿𝗲𝗽𝗹𝗮𝗰𝗲𝗱. The reality? Our industry was 𝗿𝗲𝗶𝗻𝘃𝗲𝗻𝘁𝗲𝗱. Within 10 years, I evolved into an interactive designer, designing websites, sound effects, and animation. Entire industries exploded into existence and creativity multiplied. 𝗡𝗼𝘄 𝗶𝘁’𝘀 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴 𝗮𝗴𝗮𝗶𝗻. This time the fear is about AI replacing us. But if you look closer, you’ll see something familiar: 💡 Big tech shifts don’t just disrupt industries, they expand them. 💡 They don’t just replace workers, they reinvent professions. 𝗔𝗜 𝗶𝘀 𝘁𝗵𝗶𝘀 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻’𝘀 𝗱𝗲𝘀𝗸𝘁𝗼𝗽 𝗽𝘂𝗯𝗹𝗶𝘀𝗵𝗶𝗻𝗴 𝗺𝗼𝗺𝗲𝗻𝘁... 𝗼𝗻 𝘀𝘁𝗲𝗿𝗼𝗶𝗱𝘀. We’ve been here before. Are you ready to reinvent yourself? Let me know in the comments! 👇🏽👇🏽👇🏽

Every few days the headlines scream: “𝗔𝗜 𝗶𝘀 𝗰𝗼𝗺𝗶𝗻𝗴 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝗷𝗼𝗯.” Let's rethink that! Here are 5 reasons: 𝟭. 𝗛𝘂𝗺𝗮𝗻𝘀 𝗵𝗮𝘃𝗲 𝘁𝗵𝗲 𝗺𝗼𝗻𝗲𝘆 If AI takes all human jobs, who’s going to buy the products AI makes? AI agents don’t have their own money. I checked! If companies want to stay rich → they’ll need human buyers. Which means? Plenty of roles will still need humans. 𝟮. 𝗛𝘂𝗺𝗮𝗻 𝘁𝗿𝘂𝘀𝘁 𝗶𝗻 𝘁𝗲𝗰𝗵 𝘁𝗮𝗸𝗲𝘀 𝘁𝗶𝗺𝗲 We’re not giving therapy, spiritual advice, or care of our kids to robots any time soon. Not willingly at least. Just imagine an autonomous car taking you through Times Square... In the middle of the afternoon! Exactly. Trust in tech builds slowly. 𝗧𝗵𝗶𝗻𝗸 𝗰𝗼-𝗽𝗶𝗹𝗼𝘁, 𝗻𝗼𝘁 𝗮𝘂𝘁𝗼𝗽𝗶𝗹𝗼𝘁. 𝟯. 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝘀𝘁𝘂𝗺𝗯𝗹𝗲𝘀. 𝗢𝗳𝘁𝗲𝗻! Innovation doesn't always go as planned. (Ask any Sonos fan!) Self-driving cars still struggle in snow. And chatbots still hallucinate. Will AI will replace many tasks? Sure. But most jobs? Not likely. Expect setbacks. Expect hiccups. And expect roadmap delays. 𝟰. 𝗘𝗻𝗲𝗿𝗴𝘆 𝗶𝘀 𝗮 𝗰𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝘁 AI is hungry for power. Yes, we’re making strides with greener chips, and smarter data centers. But will we transform the grid fast enough for AI to take every job in 5-10 years, as some predict? Again. Not likely. 𝟱. 𝗛𝘂𝗺𝗮𝗻𝘀 𝗵𝗮𝘃𝗲 𝘁𝗼 𝘄𝗮𝗻𝘁 𝗮𝗹𝗹 𝘁𝗵𝗶𝘀 𝘁𝗲𝗰𝗵 Here’s the faulty logic in the “AI takes all jobs” predictions: The assumption is that people 𝘱𝘳𝘦𝘧𝘦𝘳 𝘵𝘦𝘤𝘩 𝘰𝘷𝘦𝘳 𝘱𝘦𝘰𝘱𝘭𝘦. Have we seen any evidence of this? How many of us would rather... ❓ Read a love story written by an AI who’s never loved? ❓ Watch a movie with AI actors instead of real ones? ❓ Hear a song derived from data, not heartbreak? Sometimes? Sure. Mostly? I doubt it. But maybe I’m wrong. 🤷🏾 I'm curious to hear what you think! 𝗪𝗶𝗹𝗹 𝗔𝗜 𝘁𝗮𝗸𝗲 𝗼𝘃𝗲𝗿 𝗮𝗹𝗹 𝗷𝗼𝗯𝘀? 𝗢𝗿 𝘄𝗶𝗹𝗹 𝘄𝗲 𝗮𝗹𝘄𝗮𝘆𝘀 𝗳𝗶𝗻𝗱 𝗮 𝘄𝗮𝘆 𝘁𝗼 𝘀𝘁𝗮𝘆 𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝘁? 🤔 Let me know in the comments 👇🏾👇🏾👇🏾

Timing is everything in PR. (And one misstep can flip the narrative in minutes) Coca-Cola’s AI-generated holiday film is a perfect case study. Social sentiment shifted from 𝗽𝗿𝗮𝗶𝘀𝗲 to 𝗰𝗼𝗻𝗰𝗲𝗿𝗻 in just 70 minutes. But the brand took 𝗱𝗮𝘆𝘀 to respond. The result? The internet ran wild with “creepy AI Christmas” headlines. Now imagine if they had real-time sentiment tracking in place. Bianca Prade hit the nail on the head in PR Daily: 𝗬𝗼𝘂 𝗰𝗮𝗻’𝘁 𝗷𝘂𝘀𝘁 𝘁𝗿𝗮𝗰𝗸 𝘃𝗼𝗹𝘂𝗺𝗲 𝗼𝗳 𝗿𝗲𝗮𝗰𝘁𝗶𝗼𝗻𝘀. 𝗬𝗼𝘂 𝗻𝗲𝗲𝗱 𝘁𝗼 𝘄𝗮𝘁𝗰𝗵 𝗳𝗼𝗿 𝘃𝗲𝗹𝗼𝗰𝗶𝘁𝘆 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗻𝘀𝗶𝘁𝘆 𝗼𝗳 𝗲𝗺𝗼𝘁𝗶𝗼𝗻𝗮𝗹 𝘀𝗵𝗶𝗳𝘁𝘀. One strategy I love? The “traffic-light” system: Green = Steady sentiment Yellow = Minor dips Red = Rapid negativity ✅ It’s simple. ✅ It’s visual. ✅ It’s fast. Another case study: When a red alert went off during a course price drop from a private community platform Bianca’s firm manages, the team paused promotions and directly engaged the audience. Within 48 hours? Positivity rebounded. The takeaway? 𝗔𝗜 𝘁𝗼𝗼𝗹𝘀 + 𝗵𝘂𝗺𝗮𝗻 𝗶𝗻𝘀𝘁𝗶𝗻𝗰𝘁𝘀 = 𝗽𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 𝗣𝗥, 𝗻𝗼𝘁 𝗿𝗲𝗮𝗰𝘁𝗶𝘃𝗲 𝗰𝗵𝗮𝗼𝘀. How are you using AI to track emotional shifts before they go viral? Let me know in the comments! 👇🏽👇🏽👇🏽

Remember when work had clear boundaries? If you’re as old as I am, you remember a time when the workday had a definite start and finish. Outside of rare emergencies, when you left the office, work stayed there. Wi-Fi wasn’t everywhere, mobile phones were rare, and laptops were a luxury, not a given. Today, we live in what Axios calls the 𝗶𝗻𝗳𝗶𝗻𝗶𝘁𝗲 𝘄𝗼𝗿𝗸𝗱𝗮𝘆. Our day starts the moment we check our phones after waking, and stretches until the final scroll before sleep. We get pinged every few minutes, juggling calls, emails, and urgent requests at all hours. But tech is only part of the problem. Corporate layoffs mean teams are expected to do more with less, often without meaningful pay increases. We’re facing a burnout epidemic, not because we lack resilience, but because our working realities have radically changed without our consent. AI and productivity tools promised relief, yet the chaos only seems to grow. 𝗪𝗲’𝘃𝗲 𝗻𝗼𝗿𝗺𝗮𝗹𝗶𝘇𝗲𝗱 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝘀𝗵𝗼𝘂𝗹𝗱𝗻’𝘁 𝗯𝗲 𝗻𝗼𝗿𝗺𝗮𝗹: 𝗮 𝘄𝗼𝗿𝗸𝗱𝗮𝘆 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗯𝗼𝘂𝗻𝗱𝗮𝗿𝗶𝗲𝘀. And we’re paying the price in 🚫 𝗳𝗼𝗰𝘂𝘀 🚫 𝗰𝗿𝗲𝗮𝘁𝗶𝘃𝗶𝘁𝘆 🚫 𝗮𝗻𝗱 𝗺𝗲𝗻𝘁𝗮𝗹 𝗵𝗲𝗮𝗹𝘁𝗵 It’s time to reclaim balance. What might that look like? ✅ 𝗦𝗲𝘁𝘁𝗶𝗻𝗴 𝗰𝗹𝗲𝗮𝗿 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗯𝗹𝗮𝗰𝗸𝗼𝘂𝘁 𝗵𝗼𝘂𝗿𝘀, 𝘄𝗵𝗲𝗿𝗲 𝗰𝗵𝗲𝗰𝗸𝗶𝗻𝗴 𝗲𝗺𝗮𝗶𝗹𝘀 𝗼𝗿 𝗦𝗹𝗮𝗰𝗸 𝗶𝘀𝗻’𝘁 𝗲𝘅𝗽𝗲𝗰𝘁𝗲𝗱 𝗼𝗿 𝗲𝗻𝗰𝗼𝘂𝗿𝗮𝗴𝗲𝗱. ✅ 𝗘𝗻𝗰𝗼𝘂𝗿𝗮𝗴𝗶𝗻𝗴 𝗰𝗮𝗹𝗲𝗻𝗱𝗮𝗿-𝗯𝗹𝗼𝗰𝗸𝗶𝗻𝗴 𝘁𝗼 𝗿𝗲𝘀𝗲𝗿𝘃𝗲 𝘀𝗽𝗮𝗰𝗲 𝗳𝗼𝗿 𝗱𝗲𝗲𝗽, 𝘂𝗻𝗶𝗻𝘁𝗲𝗿𝗿𝘂𝗽𝘁𝗲𝗱 𝘄𝗼𝗿𝗸. ✅ 𝗘𝘅𝗽𝗹𝗶𝗰𝗶𝘁𝗹𝘆 𝗱𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝘁𝗲𝗮𝗺 𝗻𝗼𝗿𝗺𝘀 𝗮𝗿𝗼𝘂𝗻𝗱 𝗼𝗳𝗳-𝗵𝗼𝘂𝗿𝘀 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻, 𝗺𝗮𝗸𝗶𝗻𝗴 𝗮𝗳𝘁𝗲𝗿-𝗵𝗼𝘂𝗿𝘀 𝗰𝗼𝗻𝘁𝗮𝗰𝘁 𝘁𝗵𝗲 𝗲𝘅𝗰𝗲𝗽𝘁𝗶𝗼𝗻—𝗻𝗼𝘁 𝘁𝗵𝗲 𝗿𝘂𝗹𝗲. When I first heard about France outlawing work emails after hours, I laughed and thought it was “so French.” Now? I think they might actually be onto something. How are you reclaiming your work-life balance?

Most teams talk about AI like it’s a tool. 𝗕𝘂𝘁 𝗶𝘁’𝘀 𝗿𝗲𝗮𝗹𝗹𝘆 𝗮 𝘁𝗲𝘀𝘁. → A test of priorities. → A test of process. → A test of leadership. I’ve seen senior comms leaders get stuck, trying to find the “perfect” use case. Meanwhile, their competitors are prototyping, piloting, and publishing with AI daily. In a recent workshop, 𝟳𝟴% 𝗼𝗳 𝗮𝘁𝘁𝗲𝗻𝗱𝗲𝗲𝘀 𝗮𝗱𝗺𝗶𝘁𝘁𝗲𝗱 𝘁𝗵𝗲𝘆 𝗵𝗮𝗱𝗻’𝘁 𝘁𝗲𝘀𝘁𝗲𝗱 𝗮 𝘀𝗶𝗻𝗴𝗹𝗲 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝗽𝗶𝘁𝗰𝗵 𝗳𝗼𝗿𝗺𝗮𝘁. Not because they doubted the tech, but because they lacked internal permission. 𝗧𝗵𝗲 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 𝗶𝘀𝗻’𝘁 𝗷𝘂𝘀𝘁 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹. 𝗜𝘁’𝘀 𝗰𝘂𝗹𝘁𝘂𝗿𝗮𝗹. How are you leading your team’s AI confidence adoption? Let me know in the comments! 👇🏾 #aiinpr #prleadership #executivevisibility #commsinnovation #aiexperimentation

In the early 1800s, 80% of Americans worked in agriculture. Then came reapers. Tractors. Harvesters. And panic. Would technology make farmers obsolete? Fast forward a century... 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗱𝗶𝗱𝗻’𝘁 𝗲𝗹𝗶𝗺𝗶𝗻𝗮𝘁𝗲 𝗷𝗼𝗯𝘀, 𝗶𝘁 𝗲𝘅𝗽𝗹𝗼𝗱𝗲𝗱 𝘁𝗵𝗲𝗺. Millions transitioned from fields to factories. Then to logistics. Then to retail. Then to finance and engineering. History shows a clear pattern: 𝗘𝘃𝗲𝗿𝘆 𝘁𝗲𝗰𝗵 𝗿𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗱𝗶𝘀𝗿𝘂𝗽𝘁𝘀 𝗳𝗶𝗿𝘀𝘁 → 𝘁𝗵𝗲𝗻 𝗺𝘂𝗹𝘁𝗶𝗽𝗹𝗶𝗲𝘀 𝗷𝗼𝗯𝘀 𝗲𝘅𝗽𝗼𝗻𝗲𝗻𝘁𝗶𝗮𝗹𝗹𝘆. AI is next. So, the question isn’t “Will AI replace us?” 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗶𝘀… → 𝗪𝗶𝗹𝗹 𝘄𝗲 𝘁𝗿𝗮𝗻𝘀𝗶𝘁𝗶𝗼𝗻 𝗳𝗮𝘀𝘁 𝗲𝗻𝗼𝘂𝗴𝗵? The takeaway? We’ve dealt with disruption before. We can do it again. How do you see AI reshaping your industry? Let me konw in the comments! 👇🏾👇🏾👇🏾 #ai #innovation #wevebeenhereBefore Credit: U.S. Library of Congress

In the early 1900s, carriage makers, stable workers, and blacksmiths panicked. The new "horseless carriage" threatened entire industries. 𝗦𝗼𝘂𝗻𝗱 𝗳𝗮𝗺𝗶𝗹𝗶𝗮𝗿? 𝗪𝗲'𝘃𝗲 𝗯𝗲𝗲𝗻 𝗵𝗲𝗿𝗲 𝗯𝗲𝗳𝗼𝗿𝗲. (The same thing is happening again) The automobile didn’t just replace carriage-related jobs. 𝗜𝘁 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗱 𝘀𝗼𝗰𝗶𝗲𝘁𝘆. New industries emerged almost overnight: → auto factories → road construction → gas stations → diners and motels → tourism, insurance, and finance 𝗠𝗶𝗹𝗹𝗶𝗼𝗻𝘀 𝗼𝗳 𝗻𝗲𝘄 𝗷𝗼𝗯𝘀. 𝗕𝗿𝗮𝗻𝗱 𝗻𝗲𝘄 𝗰𝗮𝘁𝗲𝗴𝗼𝗿𝗶𝗲𝘀 𝗼𝗳 𝘄𝗼𝗿𝗸. Now fast forward to today... AI is the "horseless carriage" of our time. Yes, many roles will change. Some will disappear. 𝗕𝘂𝘁 𝗷𝘂𝘀𝘁 𝗹𝗶𝗸𝗲 𝗰𝗮𝗿𝘀... 𝗔𝗜 𝘄𝗶𝗹𝗹 𝗹𝗶𝗸𝗲𝗹𝘆 𝗰𝗿𝗲𝗮𝘁𝗲 𝗺𝗼𝗿𝗲 𝗷𝗼𝗯𝘀 𝘁𝗵𝗮𝗻 𝗶𝘁 𝗱𝗶𝘀𝗿𝘂𝗽𝘁𝘀. Because every time we’ve faced massive technological change? We’ve come out stronger, smarter, and more prosperous. I'm curious → What new job categories do you think AI will create in your industry? P.S. Repost this ♻️ for your network if it gave you a new perspective. Thanks for reading. #ai #innovation #wevebeenhereBefore Credit: U.S. Library of Congress

AI isn’t always cheaper. Just ask Klarna. In 2024, Klarna replaced 𝟳𝟬𝟬 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝗿𝗲𝗽𝘀 𝘄𝗶𝘁𝗵 𝗔𝗜. The goal? Cut costs. Boost efficiency. Instead... ↳ 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝘀𝗮𝘁𝗶𝘀𝗳𝗮𝗰𝘁𝗶𝗼𝗻 𝗱𝗿𝗼𝗽𝗽𝗲𝗱 ↳ 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗱𝗲𝘁𝗲𝗿𝗶𝗼𝗿𝗮𝘁𝗲𝗱 ↳ 𝗕𝗿𝗮𝗻𝗱 𝗿𝗲𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻 𝘁𝗼𝗼𝗸 𝗮 𝗵𝗶𝘁 Fast forward to 2025: 𝗞𝗹𝗮𝗿𝗻𝗮 𝗵𝗮𝘀 𝗿𝗲𝘃𝗲𝗿𝘀𝗲𝗱 𝗰𝗼𝘂𝗿𝘀𝗲. They started rehiring humans to rebuild trust and restore service standards. CEO Sebastian Siemiatkowski even admitted the mistake: “𝗖𝗼𝘀𝘁 𝘂𝗻𝗳𝗼𝗿𝘁𝘂𝗻𝗮𝘁𝗲𝗹𝘆 𝘀𝗲𝗲𝗺𝘀 𝘁𝗼 𝗵𝗮𝘃𝗲 𝗯𝗲𝗲𝗻 𝗮 𝘁𝗼𝗼 𝗽𝗿𝗲𝗱𝗼𝗺𝗶𝗻𝗮𝗻𝘁 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗳𝗮𝗰𝘁𝗼𝗿... 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂 𝗲𝗻𝗱 𝘂𝗽 𝗵𝗮𝘃𝗶𝗻𝗴 𝗶𝘀 𝗹𝗼𝘄𝗲𝗿 𝗾𝘂𝗮𝗹𝗶𝘁𝘆.” There’s a lesson here: AI can be transformative. But implemented carelessly? It can destroy your reputation. Before you replace humans with AI... Ask yourself: 𝗜𝘀 𝗶𝘁 𝘁𝗿𝘂𝗹𝘆 “𝗰𝗵𝗲𝗮𝗽𝗲𝗿”? Or are you just setting up a more expensive mistake? Has your company found the right balance between AI and human expertise? Let me know in the comments! 👇🏾 P.S. If you found this helpful, ♻️ repost it for others.

AI isn’t the threat. 𝗠𝗶𝘀𝗮𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁 𝗶𝘀. Most teams don’t struggle with tools. They struggle with clarity. 🤔 Who owns AI enablement? 🤔 Who sets the standards? 🤔 Who’s tracking what success even looks like? In one workshop, a VP asked, “Should we be using AI for measurement or messaging first?” The answer? "You're asking the wrong question." 𝗧𝗵𝗲 𝗯𝗲𝘀𝘁 𝘁𝗲𝗮𝗺𝘀 𝗮𝗿𝗲𝗻’𝘁 𝗱𝗲𝗯𝗮𝘁𝗶𝗻𝗴 𝗶𝗳 𝗔𝗜 𝗯𝗲𝗹𝗼𝗻𝗴𝘀. 𝗧𝗵𝗲𝘆’𝗿𝗲 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗶𝗻𝗴 𝗮𝗿𝗼𝘂𝗻𝗱 𝗵𝗼𝘄 𝗶𝘁 𝗮𝗱𝗱𝘀 𝘃𝗮𝗹𝘂𝗲, 𝘁𝗵𝗲𝗻 𝗮𝘀𝘀𝗶𝗴𝗻𝗶𝗻𝗴 𝗼𝘄𝗻𝗲𝗿𝘀𝗵𝗶𝗽. Strategy before software. Structure before scale. Who’s responsible for your AI roadmap? Let me know in the comments below. 👇🏾👇🏾👇🏾