Muriel Demarcus
@MurielDemarcus
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CEO. AI startup. Singapore. Worldwide
Singapore
Joined December 2010
New series starting today: Start-up Lah! I'll discuss Singapore's start-up life daily. This is one of my many desks. Goodbye corporate life! Hello Asia.
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What I am doing between coding sessions…I Al flying! Aerial yoga is doing the trick for me…
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The Daily Mail headline? “Oxford housewife wins Nobel.” Some things never change…
Britain called her a housewife. 📰 She’d mapped the molecule that saved the war. Dorothy Hodgkin’s hands were destroying themselves. Rheumatoid arthritis twisting every joint, locking every finger. The instruments she needed were the size of pins. She kept working. 🔬
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Stop playing "AI Theater" and start building real capability. 🚀Watch the full debut episode of The Square Wave here: 👇
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5️⃣ The Climate of Fear: If your team thinks AI is there to replace them, they WILL resist it.The Solution? The 3 C’s: ✅ Clarity (What is a "win"?) ✅ Climate (Is it safe to fail?) ✅ Competence (Do they have the skills?)
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3️⃣ Pilot Purgatory: Success in a lab of 5 people doesn't mean it works for 5,000. Most companies have no roadmap for scale. 4️⃣ The Competence Gap: AI literacy isn't a "nice to have." It’s the bottleneck. Without hands-on training, media hype and fear drive the internal narrative.
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1️⃣ HQ Syndrome: The strategy lives in a glass tower. The frontline teams (who actually do the work) never see the value. 2️⃣ The Dirty Data Myth: 40% of projects die because teams assume their data is "too messy."Reality: It’s usually more usable than you think. Don't wait for
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Access ≠ Capability The biggest mistake?Thinking that buying 5,000 licenses and holding a 30-minute demo = Capability.Handing someone a Stradivarius doesn’t make them a violinist. It just makes them someone holding an expensive piece of wood. 🎻The tech is easy. The people are
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95% of AI projects fail. 📉It’s not because the tech is bad. It’s because of the "Access Trap."I sat down with @katerussell for the debut of The Square Wave to dissect https://t.co/OItHxXWS73 are the 5 "Silent Killers" of AI adoption (and how to fix them): 🧵
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Most AI advice is written by tech founders, for tech founders. It is completely useless if you are managing a mega project. Cut the hype. Protect your project margins. I am launching a weekly newsletter strictly for construction and energy executives. The first issue drops
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4/ Message > method. Always.If the post delivers value, I'll read it, whether hand-crafted or Grok-turbo'd in seconds. Pearl-clutching can stay in the comments. The rest of us are building the future.Who's using AI (even a little) for LinkedIn? Honest takes below...no judgment 🔥
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3/ Bonus: Those "AI detectors" journos worship? Still junk in 2026. False positives everywhere, especially on edited/pro-sounding text. It's gotcha journalism in clown makeup.If it offends you, scroll. Mute. Log off.I'm here for substance, not purity tests.
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2/ Real talk: I DON'T CARE how it was written.English isn't my first language. I didn't come from Oxbridge pipelines. Busy leaders grinding outside the old boys' club deserve grace. We don't shame calculators mid-equation or Grammarly users. Why rage at AI polish?
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Legacy media in full meltdown mode over Ana Marinkovic's LinkedIn post on Kamala Harris."Worst post of all time." "AI slop." "Robotic garbage."Open season...yet again on a woman exec. Pattern much?
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I am taking you back to my COVID years in Australia. In isolation, I made this collage. I thought about choices, possibilities, and self-discovery. What happens to the woman behind the decisions? I used AI to improve the original collage. What do you think?
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