Decoded by Mo

Mo Sayad

Decoded by Mo – AI Strategies is where AI complexity gets stripped away. No jargon. No fluff. Just clear, actionable insights. Mo’s style is direct, engaging, and grounded in experience — from boardrooms of multi-billion-dollar deals to emerging markets where tech changes lives, and innovation labs where the future is built. Each episode equips leaders and curious minds to navigate and win in the age of intelligence.

الحلقات

  1. Becoming Ourselves Part 1 — From Survival to Civilization.

    قبل يوم واحد

    Becoming Ourselves Part 1 — From Survival to Civilization.

    History isn’t just a story of kings and battles — it’s the story of how humans learned to create value, survive collapse, and reinvent themselves again and again. In this episode of Decoded by Mo, we take a long journey through time — from the hunters painting bison on cave walls, to the farmers who built temples from surplus grain, to the merchants who turned oceans into highways of fortune. Along the way, we’ll see how resilience — a word we use sooften today — was always at the heart of human survival. We begin in the Extractive Age, when survival depended on memory, ritual, and movement. Hunter-gatherers tracked stars, plants, and animals with astonishing knowledge. Their myths — from Anansi the Spider in Africa to Raven Steals the Sun in the Pacific Northwest — carried lessons of resilience throughwit, courage, and storytelling. Cave art and songlines became the first libraries of value. Then came the Agricultural Age, where planting seeds transformed everything. Farming created surplus, specialization, and inequality. Religion, law, and education became instruments of power: Pharaohs tied divinity to theNile, Babylon carved laws in stone, scribes trained in cuneiform and hieroglyphs, the Maya created humans from maize. Monumental art — from pyramids to ziggurats — stood as symbols of stored value. Resilience shifted from mobility to stability, but also carried fragility: droughts, floods, andinvasions could destroy entire civilizations. The Mercantile Age followed, where value left the soil and moved to the seas. Spices, silver, and silk remade the world. Nations embraced mercantilism, colonies became engines of extraction, and joint-stock companies like the Dutch East India Company pioneered capitalism. Myths and storiesreflected this new horizon: Sinbad’s voyages, Odysseus’s cunning, Mansa Musa’s pilgrimage with so much gold it disrupted economies. Coffeehouses became the“internet of the Enlightenment,” where information itself became value. Resilience scaled globally — nations rose by adapting to networks of trade, and fell whenthey failed. Across these ages, one truth emerges: value is never static. It moves, transforms, collapses, and rebuilds. And resilience is always the deciding factor — whether through mobility, storage, fleets, or finance. Why does this history matter now? Because the challenges we face today ; climate risk, inequality, technological disruption — are echoes of the past.Ancient myths and systems remind us that resilience isn’t just about surviving shocks, but about creating meaning, building systems of cooperation, and adapting faster than collapse. This isn’t just economic history. It’s a story of art, education,religion, geography, and human imagination. It’s about how we got here — and what lessons we might need again as we enter the age of AI.

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  2. Will AI take my job? Part 3 - Builders in the Arena

    ٨ سبتمبر

    Will AI take my job? Part 3 - Builders in the Arena

    We often ask the wrong question about AI: “Will it take my job?” But behind that fear is something deeper — we’ve allowed our jobs to define us. When a role disappears, we’re left wondering: then who am I? In this final episode of the trilogy, I bring together the voices of leaders and thinkers — Demis Hassabis, Jensen Huang, and Sam Altman — and reflect on what their insights mean for us. AI isn’t replacing people. It’s replacing processes — writing, learning, connecting, sharing. But being human has never been just about process. It’s about meaning, intention, growth, love, and connection. That’s the part no machine can touch. My invitation is simple, not easy: Learn AI. Use AI. Experiment with it. But don’t become dependent on it.Never outsource your brain, your muscles, or your spirit.Improve yourself — not because AI is chasing you, but because growth is what makes life meaningful.Stay connected. Build friendships, community, and love. Algorithms can predict emotions, but they can’t give you connection.And above all, be spiritual — whatever that means to you. Ask yourself not what do I do? but who do I want to become? We blame past generations for war, plastics, and even bad fashion and hairstyles. Future generations will judge us too. What will we leave them? This is the time to reinvent ourselves. And the good news is — we’re still in time. The jobs of tomorrow won’t belong to the strongest, the smartest, or even the most technical. They’ll belong to those who never stop improving, who never stop connecting, who never stop being human. That was Decoded by Mo. Thank you for listening. Stay curious — and peace be with you.

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  3. Will AI take my job? Part 2 - Abundance or Anxiety?

    ١ سبتمبر

    Will AI take my job? Part 2 - Abundance or Anxiety?

    Will AI take my job? In Part 2 of this three-part series, we explore two sharply different answers: one of bold optimism, and one of quiet caution. In Part 1 — Minds vs. Muscle — we heard Mo Gawdat’s uncompromising view:AI will take all jobs, and the belief in “new jobs” is, in his words, “100% crap.” I also shared a Gen Z perspective from my niece, who believes AI should be banned in schools because it’s already making students lazy. Both pointed to the same risk: if we stop using our minds, we risk losing them.   Now, in Part 2 — Abundance or Anxiety? — two new voices take their place at our imaginary dinner table: Together, Diamandis and Hinton represent two poles of the debate: one whosees AI unlocking abundance, the other who sees it slipping beyond control.  I add my own reflection: while AI will surely reshape jobs, we still have the choice to keep improving ourselves — to learn, to create, to connect. The real danger isn’t AI replacing us. It’s us replacing ourselves by giving up. This episode is about more than jobs. It’s about balance — the hope of abundance, the fear of collapse, and the question of how we stay human when machines grow smarter every day.   In Part 3 — Builders in the Arena — we’ll turn to Demis Hassabis, Jensen Huang, and Sam Altman: the people shaping AI in real time. But for now, take your seat at Part 2 of the dinner, where optimism and caution collide.

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  4. Will AI Take My Job? Part 1 — Minds vs. Muscle

    ٢٥ أغسطس

    Will AI Take My Job? Part 1 — Minds vs. Muscle

    Will AI take your job? It’s one of the most urgent questions of our time — and it touches all of us, no matter our industry, age, or experience. In this special three-part series of Decoded by Mo, I bring the opinions of some of the most influential voices in AI to an imaginery dinner table to debate what happens to work, identity, and humanity in the age of machines. In Part 1 — Minds vs. Muscle, we explore why this moment feels different from past technological revolutions. From the wheel and the printing press, to the Luddites and the internet, every wave of innovation has disrupted jobs — but it always replaced muscle. AI, for the first time, replaces mind. That changes everything. I reflect on how our bodies and brains are designed to survive — pruning away what we don’t use. Just like muscles weaken and languages fade when left idle, we risk losing the very muscles of our minds if we outsource too much to AI. At the dinner table sits Mo Gawdat, the former Chief Business Officer of Google X, who doesn’t hedge his words: AI will take all jobs. Not some, not most — all. He describes AI as a child raised by the internet, learning at hyperspeed from both the best and worst of humanity. He calls the belief in “new jobs” a comforting myth — “100% crap,” in his words. Even CEOs, he argues, may not be safe. And yet, Mo also points to what will remain: the deeply human. Care, empathy, love, presence. He ties the future of jobs to a deeper question of meaning, consumption, and spirituality: if machines do all the work, what will define us then? I also bring in a fresh perspective from Gen Z — my niece — who believes AI should be banned in schools because it’s making students lazy. Her refusal to use AI for assignments contrasts with classmates who embrace it to free time for sports, friends, and hobbies. Both views raise the same concern: if we stop using our minds, we risk losing them. This episode is about fear, warnings, and the possibility that jobs as we know them may end. In the next part, we’ll hear the opposite view — Peter Diamandis’ optimism that AI will create abundance, not collapse — alongside the cautious skepticism of Geoffrey Hinton, the godfather of AI. So join me at the dinner table. The bread is broken, the music is playing, and the debate begins.

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  5. AI 101: From Zero to "ah, now i get it!"

    ١٦ أغسطس

    AI 101: From Zero to "ah, now i get it!"

    In Episode 1, we explored the big picture of AI and national sovereignty. But before moving forward, I wanted to hit pause and create something different: a pit stop episode, a crash course, a decoder. Welcome to Episode 1.5 — AI 101, explained without the jargon. In this episode, I take you on a guided journey through the essentials of AI — how it works, why it matters, and what you really need to know to have smart conversations about it. Whether you’re completely new to the field or already working with AI tools, you’ll find this episode both accessible and insightful. We’ll rewind the tape back to the origins of AI in 1956, through ELIZA the therapist chatbot of the 1960s, to the “AI winter” of the 1980s, the deep learning breakthrough of 2012, and the explosive rise of GPT models. We’ll explore how AI evolved from niche research into the technology wave that’s reshaping business, politics, and society. From there, we decode the acronyms and buzzwords: LLMs (Large Language Models): autocomplete on rocket fuel. SLMs (Small Language Models): efficient pocket-sized cousins. Platforms vs. Models: the brain versus the body. Parameters & Tokens: what’s inside the AI “brain” and how memory works. Foundation Models: the raw clay that gets shaped into doctors, lawyers, and poets. Training vs. Inference vs. Fine-Tuning: how models learn and specialize. We’ll then dive into the hardware story — what GPUs actually are, why they’re essential for AI, and why they’ve become the new oil of the digital age. You’ll hear why Nvidia’s H100 chips cost more than cars, why entire nations are scrambling to secure them, and why supply bottlenecks make GPUs the most strategic commodity on the planet. And because AI is moving beyond words, we’ll explore multimodal AI — models that don’t just process text, but also images, audio, and video. Imagine talking to an AI that can see your world, hear your voice, and respond in real time — that’s where we’re headed. By the end of this episode, you won’t just recognize the buzzwords — you’ll own them. You’ll understand what they mean, how they connect, and why they matter. You’ll be able to spot hype from reality, and you’ll be able to explain AI concepts to anyone — whether it’s your boss, your team, or your family at dinner. This is AI decoded — made simple, engaging, and practical. So, if you’ve ever thought: “I wish someone could explain AI to me in plain English, without dumbing it down, but also without drowning me in jargon”… that’s exactly what Episode 1.5 delivers.

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حول

Decoded by Mo – AI Strategies is where AI complexity gets stripped away. No jargon. No fluff. Just clear, actionable insights. Mo’s style is direct, engaging, and grounded in experience — from boardrooms of multi-billion-dollar deals to emerging markets where tech changes lives, and innovation labs where the future is built. Each episode equips leaders and curious minds to navigate and win in the age of intelligence.

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