How to avoid AI's "salt" moments: tips and tricks

Everyone is talking about AI for productivity, but are we asking the right questions? 🤔 We’re so focused on "what can AI do for me?"—generating emails, drafting reports, and summarizing data—that we're missing the bigger picture. The real game-changer isn't just about saving an hour a day. It's about the opportunity cost. What new skills are you building while AI handles the mundane tasks? What strategic problems are you solving now that you have more mental space? How are you leveraging your newfound freedom to innovate, connect, and lead in ways you couldn't before? The most valuable skill in the age of AI won't be knowing how to use the tools—it will be knowing how to use the time they give you. What's the one thing you're now doing with the time and mental energy you've reclaimed thanks to AI? Share your answer in the comments below! 👇 #GenerativeAI #FutureOfWork #ProductivityHacks #AI #LinkedInLearning

🚀 AI is here — and let’s be honest, it’s amazing. It can write faster, plan cleaner, analyse deeper. It’s not going anywhere — which means we’ve got to learn to use it. But here’s the catch: if we just let AI do the talking, we risk losing the part that actually makes us connect. 🫀 The part that makes people feel seen, heard, and human. Because no matter how perfect an AI-generated email looks… It can’t hold space for someone. It can’t add the nuance of your presence. It can’t be you. 💡 So here’s a small practice I swear by: Next time you’re about to hit “send” on an AI-polished message, add one line only you could write. Something real. Imperfect. Human. That’s the line that will land. That’s the line that will make someone feel connected. 👉 What about you? Have you ever received a message that was “perfect”… but felt empty? #HumanisingOurWorkplaces #FutureOfWork #HiHumaniser #AI

AI won't do my laundry yet. But here's what I'm using it for 🤖 I have a dream: that one day, AI will fully automate the tasks I don't enjoy (hello, household chores! 🧺) so I can focus entirely on what I love—creative work like writing. We're not quite there yet. But in the meantime, I've found an incredible use case for AI: as a research and analysis powerhouse. It's brilliant for spotting trends, synthesizing data, and giving me a base to build from. It handles the groundwork so I can focus on the strategy. This got me thinking about the trade-off. In our pursuit of efficiency, are we losing the human essence? The soulful connection that comes from something made entirely by another person? Hear from #N2N Natasha Angeline and I when we discussed this exact tension in our latest video: Why does some AI-generated content feel cold and sterile? How can you tell if a message was written by a human or artificial intelligence? I'd love to hear from you: What are you using AI for right now? What tasks do you wish it would automate? Watch the video and let's discuss in the comments. #AI #ArtificialIntelligence #FutureOfWork #Productivity #Innovation #Technology #HumanCentricAI

How marketers can use AI without losing originality: #LinkedInNewsEurope Most marketers are getting AI wrong. Half are publishing whatever AI chats spit out and they all sound identical. The other half refuse to touch it and waste hours on work machines can do better. Both camps are losing. The smart ones use AI for leverage, not as a ghostwriter. Here’s what that looks like: * Research at scale: patterns, clustering, summaries. But you decide what matters. * Frameworks, not finished copy: AI outlines, human insight. Otherwise, it’s wallpaper. * Automate the boring like reports, repurposing, segmentation. Save time for strategy. * Protect your voice, never push out raw AI text. If it dosn’t sound like you, it shouldn’t leave your desk. AI should handle the volume. You must own the voice. Truth is that most brands will settle for average written my machine. A few will use AI properly and stand out because they still sound human. Which side do you prefer? #AI #MarketingStrategy

I came across an AI prompt in a newsletter last week that I can’t stop thinking about & had to share. It’s not flashy, but it’s powerful! 👉 The idea: “I’m about to give you a raw brain dump — notes, half-formed thoughts, fragments, and messy ideas. Your job is to take everything I share and organize it into a clear, logical structure or outline. Keep my original voice and phrasing intact. Do not rewrite or add new ideas. Just impose order.” Why I love this: - We all have messy notes and half-formed ideas. - Clarity often comes from structure, not rewriting. - AI is great at organizing thoughts without changing your voice. This prompt basically turns AI into your thought-organizer. You can brain dump freely, then let it hand you back a clean outline — your words, just structured. ✨ That’s the kind of everyday, practical use I love. Not to replace creativity, but to make the messy parts of work feel lighter. Would you ever drop your unfiltered notes into AI and let it clean them up? #PromptEngineering #Productivity #WorkSmarter #Innovation #DigitalTools #WritingTips #FutureOfWork #AI

The Rise of “AI Experts” across LinkedIn… Lately, I’ve been noticing a familiar pattern, impostor syndrome is everywhere. But this time, it’s not just internal. It’s playing out in the AI space, where it’s getting harder to tell what’s real and what’s just… well, branding. I see people post daily about AI, riding the hype, wearing the “expert” badge proudly. But when it comes to actually speaking in public, answering hard questions, or getting into the technical weeds? Silence. We throw around the term expert so casually that it’s started to lose meaning. Here’s the usual evolution: ✔️Expert on AI ✔️Expert on LLMs ✔️Expert on MCP ✔️And AI expert on Agentic AI too…. It’s always the same playbook. That’s why I’ve never called myself an expert and probably never will. I prefer to stay an outsider, learning, questioning, and sharing what I do know without pretending to know it all. Because in a field changing this fast, claiming expertise too loudly might just be the first sign you’ve stopped learning. #AI #experts

In AI the word expert gets thrown around so often that it starts to lose meaning. True expertise isnt about titles, badges, or hype its about staying curious, asking tough questions, and being honest about what we dont yet know. The pace of AI means that the moment we stop learning, we fall behind. Thats why I believe its better to be a student of AI than to claim to be an expert in AI. Rather focus on learning, experimenting, and sharing than pretending to have all the answers.

Using AI effectively at work isn’t about asking random questions — it’s about clear structure and context. Here’s a simple framework I follow when prompting AI for real-world tasks: 🔹 1. State the Requirement Clearly Example: “We need a script to automate sending weekly health hub updates via email.” 🔹 2. Ask for Understanding First I start by asking AI: > “Based on this requirement, summarize your understanding and outline how you’d implement it.” This helps me see if AI has the right context before I let it generate code or content. 🔹 3. Request Real-World Scenarios Once aligned, I prompt: > “Give me a real-world example and edge cases to test this solution.” 🔹 4. Iterate & Fine-Tune AI becomes a collaborator — I refine prompts until I get actionable output that’s ready for production use. ✨ The takeaway: Good AI output starts with a great prompt. Clarity, context, and iteration turn AI from a “tool” into a problem-solving partner. #AI #PromptEngineering #FutureOfWork #Productivity #Innovation

The Rise of “AI Experts” across LinkedIn… Lately, I’ve been noticing a familiar pattern, impostor syndrome is everywhere. But this time, it’s not just internal. It’s playing out in the AI space, where it’s getting harder to tell what’s real and what’s just… well, branding. I see people post daily about AI, riding the hype, wearing the “expert” badge proudly. But when it comes to actually speaking in public, answering hard questions, or getting into the technical weeds? Silence. We throw around the term expert so casually that it’s started to lose meaning. Here’s the usual evolution: ✔️Expert on AI ✔️Expert on LLMs ✔️Expert on MCP ✔️And AI expert on Agent AI too…. It’s always the same playbook. That’s why I’ve never called myself an expert and probably never will. I prefer to stay an outsider, learning, questioning, and sharing what I do know without pretending to know it all. Because in a field changing this fast, claiming expertise too loudly might just be the first sign you’ve stopped learning. #AI #experts

We usually have a Master Class every Wednesday, and this week was no exception. Ruth Oloo took us through an amazing session on AI, and I walked away with a mix of excitement and curiosity. What struck me most was the practical application of AI in sales. It’s not just theory — it can actually help with the small, time-consuming things that slow us down: - Finding the right prospects faster - Keeping follow-ups timely and relevant - Freeing up more time to focus on real conversations and closing deals Another big learning for me was the reminder of the old saying: “Garbage in, garbage out.” With AI, this is so true — the output is only as good as the input. I realised that knowing how to craft the right prompts can mean the difference between a generic response and a powerful result. In other words, AI can save you effort, but only if you know how to ask it the right questions. I’m looking forward to experimenting with some of these ideas in my own work. Curious — if you’re in sales or business development, have you tried using AI in your daily process yet? What’s working for you? #AI #Sales #Productivity #Learning #InspiringSalesExcellence