The most effective AI founders don't pitch technology—they sell the moment when someone's life fundamentally changes. I walked into that conference room ready to impress. Twenty investors. Flawless slides. Every neural network explained down to the last parameter. Honestly? I was proud. Maybe even a little smug. Polite faces waiting for something "disruptive." I launched in. Slide after slide. Chart after chart. Then, the questions started. "What problem does this actually solve?" "How does this help a real customer?" There it was—the look. "You lost me ten minutes ago." That's the moment most technical founders dread. Not failing on the math, but failing on the meaning. What stung: I'd spent months perfecting the engine. I forgot to build a bridge so anyone could cross it. That night, it hit me. The question isn't "How do I explain my tech better?" It's—"How do I translate my world so others don't just understand, but care?" Most of us get stuck in the "translation trap." The deeper your expertise, the harder it gets to remember what it's like not to know. We explain what and how, but skip why it matters to humans. Investors aren't trying to understand your code. They're trying to de-risk decisions. If your story is as dense as your Stack Overflow history? That's backing someone brilliant but disconnected. (I was speaking machine. Not mission.) Here's the framework I wish I'd had: Step 1: Hunt for the human villain. Forget technical jargon. What pain does your tech crush? Maybe it's the doctor buried in admin, losing hours meant for patients. Step 2: Name the new superpower. Don't list features. Tell me the ability you unlock. "Our AI gives Dr. Lee instant insight—so she swaps paperwork for patient time." Step 3: Paint the "new world." What does it feel like when your tech exists? Work feels lighter. Lives change. None of this is "dumbing down." It's elevating purpose—giving people a bridge to cross. Most founders stop at one great story, then default back to jargon. Treat your human story like a translation layer between brilliance and world. Every investor update. Every meeting. Every post. This isn't a pitch-day costume. Human impact should be your company's heart. It's how magnetic brands get built—and deep-tech founders who master this become the standard. When it comes to technical-to-human translation as a founder, what's your biggest challenge right now? A) Finding analogies that don't oversimplify your tech B) Keeping investors engaged when explaining complex solutions C) Maintaining technical credibility while making concepts accessible Drop your answer in the comments—I'm collecting insights for founders. P.S. What was your most painful "lost in translation" moment with investors? Those stories teach us all. #AIFounders #PitchStrategy #TechTranslation #InvestorCommunication
How to Pitch AI to Investors: From Tech to Human Impact
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Calling all startup founders! AI is "soulless"—and that’s a good thing to remember. How many of us are using AI now? Millions. But this post is a wake-up call to stay true to who you are as a founder. AI is just soulless code. It doesn’t have heart, grit, or vision. Most of us don’t fully understand where AI’s data comes from, and here’s the truth: AI isn’t neutral. It mirrors the flaws in its training data, biases and all. That means founders need to stay vigilant and critically evaluate AI outputs instead of blindly trusting them. I’m seeing a growing reliance on machines today—and that’s why I’m posting this! Use AI because it’s incredible. Use it like Noel T. and his team at Dark Watch who leverage AI-driven intelligence to literally save people, anticipate threats and protect reputations without losing the human touch. Use it like Pete Lunenfeld and his team at CurrentWave AI who have built an amazing knowledge management tool. Use it like Peter Bullard and his team at Credit Union of the Rockies and Tyler Valentine and his team at StagePoint Federal Credit Union. Both have used AI to take their member service teams to "best-in-class"! There are endless examples of "AI for Good"! But founders—be careful. Use AI smartly and keep your human edge intact. This post is all about staying aware, staying human, and leading with purpose. https://lnkd.in/gU38wavM
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Sam Altman just admitted investors are "over excited" about AI. But he also called it “the most important thing in a very long time.” Both are true, and most people missed the distinction: The media painted this as “Altman says AI is a bubble.” But here’s what he actually meant: Yes, investors are over-excited. His former chief scientist raised billions at Safe Superintelligence. His former CTO raised billions for a new venture. Neither has shipped a product. That’s the over-excitement. But Altman also pointed to the other reality: OpenAI has 700M weekly users and $12B in revenue. Real products, delivering real value. The studies back him up: MIT shows enterprise AI often delivers “zero ROI.” Why? They measured corporate deployments, not personal use. McKinsey found the hidden truth: Shadow AI delivers better returns than official initiatives. Individuals using $20 tools are quietly 10x’ing their productivity. That “invisible surplus” is billions in value - just not visible on balance sheets. This is Altman’s real point: The AI revolution isn’t starting in boardrooms. It’s happening at the individual level. The builders, creators, and experimenters are the ones moving fastest. That’s why at Voice.ai, we focused on creators first. Not committees or procurement cycles. Because the biggest AI gains always start with individuals. - I built voice tech before Alexa or Siri. Now I’m at Voice.ai - powering real-time voice agents and cutting-edge TTS for over 1M users every month. Follow me for insights on what’s next in AI.
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If your company mission doesn’t make any sense without the word "AI" in it - you're not building a company. I heard this yesterday at an AI event at Stanford University, during a panel Q&A. As someone who's been designing AI products for 3+ years, I see this all the time. Founders trying to justify their startup with AI instead of accelerating a real mission with it. Everyone in the room was talking about: → “AI-powered” this → “LLM-enhanced” that → Models, agents, tokens, prompts... And yet - so few were actually solving real problems. For example in Vapi our mission is: "Bend the arch of technology back to voice" We’re solving an interaction problem - AI voice is just the best tool for it today. If your startup only makes sense because it uses AI, you’re building on shaky ground. From my experience of interacting with real successful companies, they: → Start from first principles → Serve human needs, not hype cycles → Use AI to accelerate - not justify - what they’re building This doesn’t mean you shouldn’t build in AI. It means AI is not the WHY - it’s the HOW. 🧠 Curious to hear from other builders: What does a real, AI-agnostic mission look like to you?
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AI progress isn’t slowing, it’s normalizing. It feels like we're all starting to get a better handle on things. Those big bold announcements seem to be slowing down. Another company trained an LLM to do x - yawn. Someone automated something - ok, great. The big “wow” leaps of 2022–23 gave way to steady, incremental improvements. Today’s innovation isn’t about shocking model releases, it’s about integration, cost, trust, and making AI truly useful in workflows. We’re moving from hype to maturity: less spectacle, more substance. The next breakthroughs may not feel like explosions, but like quiet revolutions in how we work, create, and solve problems.
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From Dot-Com to GenAI Bubbles: Failures and the Shape of the Future” 🚀 Every tech wave from the #DotCom crash to the rise of #CloudComputing and now #GenAI teaches us something about hype, adoption, and long-term value creation. In this article, I explore: 🔹 Why bubbles happen (and why they aren’t always bad) 🔹 The lessons we can carry from past failures 🔹 What the future might look like as #ArtificialIntelligence reshapes industries Would love to hear your thoughts on whether GenAI will fuel the next lasting transformation—or if we’re heading toward another cycle of overinflated expectations. 👉 Read here: https://lnkd.in/ggjpF26U #Technology #FutureOfWork #AI #Innovation #DigitalTransformation
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Dear Lava, Your weekly AI headlines and key takeaways, trimmed to essentials: ➡️ Switzerland enters the AI race with transparent LLM ➡️ Can AI lift living standards? ➡️ Broadcom’s $10B AI chip order ➡️ DeepL Agent targets enterprise workflows ➡️ Finance ties GenAI gains to governance …and more below! New tools, new rules. We are back with more next Sunday. The Team of SwissCognitive | AI Ventures, Advisory & Research Valuations, Ventures, and Velocity - SwissCognitive AI Investment Radar swisscognitive.ch AI investment is evolving with major funding rounds & regional initiatives alongside growing opportunities for startups & emerging ventures. swisscognitive.ch Meet the Global AI Ambassador: Jeanne Lim AI entrepreneur, angel investor, and former CEO of Hanson Robotics: co-creator of Sophia. Now leading beingAI with 25 years of tech expertise and a focus on ethical human-AI collaboration. full story swissinfo.ch Switzerland introduces transparent ChatGPT alternative Swiss Apertus LLM has entered the Artificial Intelligence race aiming to compete in a crowded field with openness and accessibility. full story How to Fight AI Bias in Computer Vision AI bias in computer vision can have troubling effects, but it’s preventable. Here are five steps to stop or mitigate its impact. If AI lifts off, will living standards follow? Champions of AI claim it could fuel genuine economic growth. Once it really gets going, how fast can the economy grow? full story reuters.com OpenAI Reportedly Launching Its AI Chip with Broadcom Broadcom announced a $10B custom AI chip order from an unnamed fourth customer, and analysts point to OpenAI. The company’s stock surged 15%, while the OpenAI link remained unconfirmed. full story cnbc.com DeepL launches enterprise AI agent to compete in LLM space German startup DeepL has introduced “DeepL Agent,” a new enterprise AI tool positioned as an alternative to solutions from OpenAI, Microsoft, and Anthropic. fortune.com Responsible AI seen as key to GenAI success in finance A new FICO report reveals that financial service leaders view responsible AI governance as essential for extracting value from generative AI. full story ibm.com The workplace learns to feel: Emotional AI in the enterprise Emotion-sensing AI tools are entering the enterprise, aiming to enhance empathy, detect burnout, and improve communication, especially in hybrid settings. Subscribe to our AI Navigator Facebook-Symbol Instagram-Symbol Twitter-Symbol LinkedIn icon Email icon Website icon YouTube icon Copyright (C) 2025 SwissCognitive - World-Leading AI Network. You are receiving this email because you opted in at our website - or you showed us your interest personally. SwissCognitive - World-Leading AI Network Alpenstrasse 15 Zug 6300 Switzerland
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Dear Lava, Your weekly AI headlines and key takeaways, trimmed to essentials: ➡️ Switzerland enters the AI race with transparent LLM ➡️ Can AI lift living standards? ➡️ Broadcom’s $10B AI chip order ➡️ DeepL Agent targets enterprise workflows ➡️ Finance ties GenAI gains to governance …and more below! New tools, new rules. We are back with more next Sunday. The Team of SwissCognitive | AI Ventures, Advisory & Research Valuations, Ventures, and Velocity - SwissCognitive AI Investment Radar swisscognitive.ch AI investment is evolving with major funding rounds & regional initiatives alongside growing opportunities for startups & emerging ventures. swisscognitive.ch Meet the Global AI Ambassador: Jeanne Lim AI entrepreneur, angel investor, and former CEO of Hanson Robotics: co-creator of Sophia. Now leading beingAI with 25 years of tech expertise and a focus on ethical human-AI collaboration. full story swissinfo.ch Switzerland introduces transparent ChatGPT alternative Swiss Apertus LLM has entered the Artificial Intelligence race aiming to compete in a crowded field with openness and accessibility. full story How to Fight AI Bias in Computer Vision AI bias in computer vision can have troubling effects, but it’s preventable. Here are five steps to stop or mitigate its impact. If AI lifts off, will living standards follow? Champions of AI claim it could fuel genuine economic growth. Once it really gets going, how fast can the economy grow? full story reuters.com OpenAI Reportedly Launching Its AI Chip with Broadcom Broadcom announced a $10B custom AI chip order from an unnamed fourth customer, and analysts point to OpenAI. The company’s stock surged 15%, while the OpenAI link remained unconfirmed. full story cnbc.com DeepL launches enterprise AI agent to compete in LLM space German startup DeepL has introduced “DeepL Agent,” a new enterprise AI tool positioned as an alternative to solutions from OpenAI, Microsoft, and Anthropic. fortune.com Responsible AI seen as key to GenAI success in finance A new FICO report reveals that financial service leaders view responsible AI governance as essential for extracting value from generative AI. full story ibm.com The workplace learns to feel: Emotional AI in the enterprise Emotion-sensing AI tools are entering the enterprise, aiming to enhance empathy, detect burnout, and improve communication, especially in hybrid settings. Subscribe to our AI Navigator Facebook-Symbol Instagram-Symbol Twitter-Symbol LinkedIn icon Email icon Website icon YouTube icon Copyright (C) 2025 SwissCognitive - World-Leading AI Network. You are receiving this email because you opted in at our website - or you showed us your interest personally. SwissCognitive - World-Leading AI Network Alpenstrasse 15 Zug 6300 Switzerland
Dear Lava, Your weekly AI headlines and key takeaways, trimmed to essentials: ➡️ Switzerland enters the AI race with transparent LLM ➡️ Can AI lift living standards? ➡️ Broadcom’s $10B AI chip order ➡️ DeepL Agent targets enterprise workflows ➡️ Finance ties GenAI gains to governance …and more below! New tools, new rules. We are back with more next Sunday. The Team of SwissCognitive | AI Ventures, Advisory & Research Valuations, Ventures, and Velocity - SwissCognitive AI Investment Radar swisscognitive.ch AI investment is evolving with major funding rounds & regional initiatives alongside growing opportunities for startups & emerging ventures. swisscognitive.ch Meet the Global AI Ambassador: Jeanne Lim AI entrepreneur, angel investor, and former CEO of Hanson Robotics: co-creator of Sophia. Now leading beingAI with 25 years of tech expertise and a focus on ethical human-AI collaboration. full story swissinfo.ch Switzerland introduces transparent ChatGPT alternative Swiss Apertus LLM has entered the Artificial Intelligence race aiming to compete in a crowded field with openness and accessibility. full story How to Fight AI Bias in Computer Vision AI bias in computer vision can have troubling effects, but it’s preventable. Here are five steps to stop or mitigate its impact. If AI lifts off, will living standards follow? Champions of AI claim it could fuel genuine economic growth. Once it really gets going, how fast can the economy grow? full story reuters.com OpenAI Reportedly Launching Its AI Chip with Broadcom Broadcom announced a $10B custom AI chip order from an unnamed fourth customer, and analysts point to OpenAI. The company’s stock surged 15%, while the OpenAI link remained unconfirmed. full story cnbc.com DeepL launches enterprise AI agent to compete in LLM space German startup DeepL has introduced “DeepL Agent,” a new enterprise AI tool positioned as an alternative to solutions from OpenAI, Microsoft, and Anthropic. fortune.com Responsible AI seen as key to GenAI success in finance A new FICO report reveals that financial service leaders view responsible AI governance as essential for extracting value from generative AI. full story ibm.com The workplace learns to feel: Emotional AI in the enterprise Emotion-sensing AI tools are entering the enterprise, aiming to enhance empathy, detect burnout, and improve communication, especially in hybrid settings. Subscribe to our AI Navigator Facebook-Symbol Instagram-Symbol Twitter-Symbol LinkedIn icon Email icon Website icon YouTube icon Copyright (C) 2025 SwissCognitive - World-Leading AI Network. You are receiving this email because you opted in at our website - or you showed us your interest personally. SwissCognitive - World-Leading AI Network Alpenstrasse 15 Zug 6300 Switzerland
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MIT just dropped a bombshell report that's making Silicon Valley uncomfortable. After enterprises poured $30-40 BILLION into generative AI, a staggering 95% of pilot programs have failed to impact their bottom line. Yes, you read that right - 95% failure rate. The 'GenAI Divide' report reveals a harsh reality: while 80% of companies are experimenting with ChatGPT and Copilot, only 5% are seeing actual revenue growth. The tools boost individual productivity, but they're not transforming businesses as promised. Why the massive disconnect? MIT points to a critical 'learning gap' - these AI systems can't retain feedback, adapt to context, or improve over time. They're essentially stuck in a loop, unable to evolve with dynamic business needs. Here's where it gets interesting: companies partnering with specialized vendors have TWICE the success rate of those going it alone. Yet most organizations are still trying to build in-house, pouring budgets into flashy sales and marketing applications while ignoring high-ROI back-office operations. The few success stories? They're seeing real workforce impacts in customer support, software engineering, and admin roles. But these are the exceptions, not the rule. This report challenges everything we've been told about the AI revolution. Are we witnessing the biggest tech bubble since crypto, or are we just in the awkward adolescent phase of AI adoption? Is the problem the technology itself, or how companies are implementing it? What's your take - is generative AI overhyped tech that can't deliver, or are businesses simply doing it wrong?
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💡 My take on AI in tech: Here’s how I see things playing out 👇 Phase 1: Company A discovers they can do more with less. They slash 80% of their dev team, thinking AI can replace them. Phase 2: Company B notices and says, “Perfect! While they pull back, we’ll keep our people and surge ahead.” Phase 3: Company A panics: “Wait… we’re falling behind! Quick—rehire!” 👉 Obviously, this is oversimplified (no smart company would really gut their teams like that), but it illustrates an important point. I’m not too worried about long-term job loss. Why? Because companies compete. They’ll use AI not to eliminate talent but to amplify it—to move faster, be more agile, and pivot quicker. So maybe the real question isn’t: ❌ “Will my job be safe long-term?” But rather: ✅ “How can I best position myself to thrive in this new AI-powered world?”
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I keep hearing the worry that AI will make us dumber. That we'll blindly trust algorithms and lose our critical thinking skills. Honestly, I think that's looking at it backward. The real danger isn't that AI will be wrong. It's that we'll stop questioning things when its answers sound "good enough." Think of it this way: the best thinkers I know don't just accept information. They stress-test it. They argue with it. They try to find the holes in the logic. That's where AI can be an incredible asset – a tireless sparring partner for your brain. Here’s how I’m starting to use it: 1. Challenge Assumptions: Got a well-formed idea? Ask an AI to argue the opposite. Force it to find flaws in your reasoning. It’s like having a devil's advocate on demand. 2. Model a Customer's Viewpoint: Before pitching an idea, I'll prompt the AI to act as a skeptical customer. For example: "You are the CTO of a major bank. What are your top three concerns about implementing this new software, specifically around data security and legacy system integration?" This instantly gets me out of my own headspace. 3. Broaden Perspectives: When I'm stuck on a problem, I'll ask an AI to outline different schools of thought or alternative approaches I might have missed. It’s a quick way to break out of my own cognitive biases. 4. Elevate the Debate: Use AI to research counterarguments to your points before you present them. Understanding the other side makes your own arguments stronger and your thinking more robust. AI isn't a replacement for thinking; it's a tool to amplify it. But only if we use it actively, to push ourselves harder, not to become intellectually lazy. #AI #CriticalThinking #FutureOfWork #FinTech #Strategy
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COO | AI Advocate and Personal Branding Enthusiast | The one who does a bit of everything ✨
1moYour pitch is your bridge! I remember my first big pitch. The room was full of faces. I had all the facts. Every detail, perfectly laid out. But then came the questions. What problem does this solve? How does this change lives? That’s when it hit me. It's not about tech. It's about the impact. → Focus on these three: 1. Find the real problem. 2. Highlight the superpower. 3. Paint a new world. Make them see, feel, and care. Human impact is your true power. It’s not just about code. It's about connection. P.S. What's your biggest challenge? → Share your story in the comments.