Saneago

Kids just do this stuff. No strategy meeting in their heads. No "what's the point of this?" Just pure instinct to make someone else smile. Somewhere along the way, we lost that. We got good at calculating. At weighing options. At asking what's in it for us. We forgot how to just be kind without needing a reason. That innocence? That's not naivety. That's wisdom we traded for being "smart." Video credit: Olawale Kolawole ♻️ Share this. Someone in your network needs something that brings them joy today. ➡️ Follow Rujuta Singh for moments that make you rethink things When did someone last make you smile for no reason?

Being nice is making you a worse friend, colleague, and leader. Because we've been confusing nice with kind. And they're not the same thing. Trevor Noah nails this with the simplest example: Someone has spinach in their teeth. Being nice? Say nothing. No awkwardness. Everyone stays comfortable. Being kind? Tell them. Sure, it's weird for 3 seconds. But they don't spend the rest of the day looking like they wrestled a salad and lost. We tell ourselves we're being considerate when we stay quiet. Nope. We're just dodging our own discomfort. And this choice shows up everywhere. That colleague who steamrolls every meeting. The teammate whose "feedback" feels like a personal vendetta. Your friend chasing a career move that makes you wince. Nice = stay quiet, keep the peace, dodge the mess. Kind = speak up, even when your stomach drops. Here's the strange thing about this choice. Everyone thinks it's hard on the person receiving the feedback. But really? It's brutal on the person making the call. We spend all this energy trying to make difficult conversations "easier" for the other person. Meanwhile, you're the one stuck deciding: speak up or stay silent. You're the one living with the choice. Watching someone struggle because you said nothing. Or dealing with the fallout because you did. Both feel terrible in the moment. The difference? Only one actually helps. ♻️ Repost to help your network stop confusing nice with kind ➡️ Follow Rujuta Singh for surprising insights that make you rethink how you show up What's the hardest "kind vs nice" choice you've faced?

We're teaching kids to drive. They might never need to. And somehow that's the least weird part. A 13-year-old asked Uber's CEO if he'll even need a driver's license when he's 16. Dara said get one anyway. It's fun to drive. Peter Diamandis said in 2 years, you won't need one. So that's helpful. Two experts, two completely different answers. I keep thinking about this: Driving is the world's largest profession. Right now. Today. And we're racing to make it obsolete. Then there's the other side. In 25 years, Dara predicts humans will be "demonstrably less safe than autonomous drivers." Regulators will have to redefine what a human license even means. We're not just changing jobs. We're changing what it means to be trusted behind the wheel. About half of all US court cases? Car accident related. (There's an entire legal industry that's about to have a very bad day.) In Atlanta and Austin, where Uber offers autonomous rides? 80% of people choose them. The robots are already winning the popularity contest. I've been in transformation for 22 years. This one hits different. Because yes, this is terrifying for millions of drivers. And yes, this will save thousands of lives. Both things are true. At the same time. As Dara put it: "What the hell is worrying going to do to you?" You can watch DAra's full interview on the Moonshots podcast here: https://lnkd.in/ej5HmW94 ♻️ Repost to share the complexity of the biggest job transition in human history ➡️ Follow Rujuta Singh for surprisingly honest takes on AI Transformation that don't pretend it's simple Where are you with this paradox? Have you picked your side yet?

We asked. You answered. And one AI day became two. 𝗘𝗮𝗿𝗹𝘆 𝗯𝗶𝗿𝗱 𝗽𝗿𝗶𝗰𝗶𝗻𝗴 𝗰𝗹𝗼𝘀𝗲𝘀 𝗠𝗮𝘆 𝟮𝟲𝘁𝗵. The responses came in two clear waves: CXOs wanting to lead AI strategically across their companies. Consultants wearing 100 hats and running out of time. Both need AI confidence. But for completely different reasons. CXOs need strategic confidence to make AI-driven business decisions. Consultants need their time back so they can stop feeling constantly behind. So we split it. Two AI Confidence Days: 𝗔𝗜 𝗖𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲 𝗗𝗮𝘆 𝗳𝗼𝗿 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁𝘀 & 𝗦𝗺𝗮𝗹𝗹 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗢𝘄𝗻𝗲𝗿𝘀 - 𝗝𝘂𝗻𝗲 𝟭𝟵𝘁𝗵, 𝟮𝟬𝟮𝟲 For the solopreneurs wearing all the hats. Walk away with systems that give you 10+ hours back every week. 𝗔𝗜 𝗖𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲 𝗗𝗮𝘆 𝗳𝗼𝗿 𝗖𝗫𝗢𝘀 & 𝗕𝗼𝗮𝗿𝗱 𝗠𝗲𝗺𝗯𝗲𝗿𝘀 - 𝗝𝘂𝗹𝘆 𝟯𝗿𝗱, 𝟮𝟬𝟮𝟲 For leaders making strategic AI decisions at scale. Walk away knowing exactly how to evaluate vendors and implement Monday morning. Intentionally, small groups. In Person. London. Chatham House Rules. Application-based. If you registered interest: check your inbox. Your special access link is waiting. Seats are very limited. For the remaining spots, don't wait. Register here: https://lnkd.in/dRBPvUnF ♻️ Repost this. Someone in your network needs to see it. With Chris Bradshaw 🤓 𝗦𝗼, 𝘄𝗵𝗶𝗰𝗵 𝗱𝗮𝘆 𝗮𝗿𝗲 𝘆𝗼𝘂 𝗴𝗼𝗶𝗻𝗴 𝗳𝗼𝗿?

We've all been here. Flat on your face. Everyone watching. Decision time. (Okay, yes, the video has melodramatic music. And yes, this is going to feel like one of those LinkedIn inspiration posts. But stay with me.) She falls at the second hurdle. Face to the track. Full collision. And everyone keeps running past her. That's the moment. The one we all know. Not when you fail. When you're lying there deciding what comes next. Most stories end right there. Not because of the fall. Because of what happens in the silence after it. That voice that whispers: "Everyone saw that. You should probably just fake an injury at this point. Maybe cramp? People believe cramps." We've all heard it. The pitch that didn't land. The promotion that went to someone else. The project that collapsed. That moment when staying down feels safer than getting back up. — J.K. Rowling lived that moment. Single mother. On welfare. Writing in cafes because she couldn't afford to heat her apartment. Twelve publishers rejected Harry Potter. They said: No market for it. Won't sell. One of them literally said it was too long for children. She could've stopped. Could've believed them. Instead? Seven books. 500 million copies sold. A billion-dollar franchise. Those twelve publishers? I'm guessing someone's LinkedIn bio still says "Former Publisher" and leaves out the rest. — Oprah Winfrey lived it too. Demoted from co-anchor in 1977. Told she's "unfit for television news." Too emotional. Too invested in stories. She could've given up. Instead? She leaned into what made her different. Built a media empire worth billions. Being "unfit for TV" wasn't her weakness. It was her edge. — Back to the track. The runner gets up. No drama. No excuses. She just runs. One foot after the other. She closes the gap. — Here's what separates people who grow from people who stay stuck: It's not talent. It's not luck. It's not even the size of the fall. It's the decision to move again. 𝗛𝗼𝘄 𝗧𝗼 𝗧𝘂𝗿𝗻 𝗮 𝗙𝗮𝗹𝗹 𝗜𝗻𝘁𝗼 𝗙𝘂𝗲𝗹: → Separate emotion from evaluation Feel it first. Then analyze what actually happened. Not what it means about you. → Upgrade what was exposed The fall revealed something. A gap. A weakness. A blind spot. Fix one thing. Not ten. (Perfectionism is just procrastionism in fancy clothing.) → Move before you feel ready Confidence comes after you move, not before. Take the next step while it still feels hard. — This video becomes a story, not because of her fall. But because she decided the fall wasn't the end of the story. (Video credit: Stephanie ) ♻️ Repost, someone in your network might need to hear this today ➡️ Follow Rujuta Singh for honest insights on leadership, resilience, and doing hard things

"AI Prompt Engineer" could mean: a) Building enterprise LLM infrastructure b) Writing "please be nice" at the end of ChatGPT prompts Welcome to AI careers in 2026, where nobody knows what anything means anymore. (These were predicted as the top AI roles in 2025. One year later? The titles exist. What they actually mean is… creative.) Here's what's happening: "Data Scientist" at Company A = building predictive models that drive $2M decisions. "Data Scientist" at Company B = making PowerBI dashboards and calling it "AI insights." "AI Consultant" at Firm X = architecting enterprise transformation. "AI Consultant" at Firm Y = teaching executives how to use ChatGPT. (Nothing wrong with that, but let's be honest about it.) Same title. Completely different universe. The market is inventing job titles faster than it understands what these people actually do. "AI Infrastructure Engineers" spending 6 months in meetings about which cloud vendor to use. "AI Ethics Leads" producing beautiful frameworks that sit in SharePoint while biased models ship anyway. "LLM Engineers" who can't explain why their carefully crafted prompts break every Tuesday. (Swipe for the full breakdown of 2025's most in-demand AI roles. See if your reality matches the description.) But here's what actually matters: Not the title on your LinkedIn. Whether you can walk into a room and solve real problems with AI. Can you figure out where AI will actually create value—not just where it sounds cool? Can you build something that works in production, not just in a demo? Can you explain technical decisions to people who think "the cloud" is weather-related? The people winning in AI aren't chasing perfect job title matches. They're building capabilities that work across roles. They understand workflows end-to-end. They solve business problems, not theoretical ones. The title comes after the impact. Not before. Which AI job title gap have you seen that made you laugh-cry? — Credit to Prem N. for the original 2025 prediction. ♻️ Repost to help your network see past the job title chaos 🔔 Follow Rujuta Singh Singh for uncomortable truths on leadership & careers in AI age.