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Nina Schick

@NinaDSchick • 54,703 subscribers

Sovereign AI Strategist | AGI & Geopolitics

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The world runs on a single island (!!) Over 90% of leading-edge chips are manufactured by TSMC in Taiwan — a democratic nation just 100 miles off the coast of China, which the CCP openly claims as its own territory. Given the stakes, it’s astonishing (almost absurd) that the entire global economy rests on a geopolitical fault line this volatile. Once you see what happens inside a TSMC production line, the extreme ultraviolet lithography machines, the atomic-level precision, the thousands of interlocking steps ,you realise TSMC isn’t just hard to replicate. It is, for now, irreplaceable. The U.S. is scrambling to onshore semiconductor manufacturing, while China is aggressively pursuing chip sovereignty and instructing its tech giants to reduce reliance on American hardware. But both sides understand the same reality: if China moved on Taiwan, the balance of global power would shift overnight. This is the wild card at the centre of the AI race — a tiny island everyone depends on, and whose fate may determine the future of global power.

The world runs on a single island (!!) Over 90% of leading-edge chips are manufactured by TSMC in Taiwan — a democratic nation just 100 miles off the coast of China, which the CCP openly claims as its own territory. Given the stakes, it’s astonishing (almost absurd) that the entire global economy rests on a geopolitical fault line this volatile. Once you see what happens inside a TSMC production line, the extreme ultraviolet lithography machines, the atomic-level precision, the thousands of interlocking steps ,you realise TSMC isn’t just hard to replicate. It is, for now, irreplaceable. The U.S. is scrambling to onshore semiconductor manufacturing, while China is aggressively pursuing chip sovereignty and instructing its tech giants to reduce reliance on American hardware. But both sides understand the same reality: if China moved on Taiwan, the balance of global power would shift overnight. This is the wild card at the centre of the AI race — a tiny island everyone depends on, and whose fate may determine the future of global power.

2,584,126 views • 5 months ago

Rare earth minerals are a critical chokepoint for everything that matters to the modern economy. From semiconductors to defense systems. China controls over 70 percent of REE supply and over 90 percent of the processing. The world is waking up to this dependence. Japan, Australia, and the US are trying to diversify. The Pentagon has even taken a stake in America’s only rare earth mining firm. But right now, China holds the cards.

Rare earth minerals are a critical chokepoint for everything that matters to the modern economy. From semiconductors to defense systems. China controls over 70 percent of REE supply and over 90 percent of the processing. The world is waking up to this dependence. Japan, Australia, and the US are trying to diversify. The Pentagon has even taken a stake in America’s only rare earth mining firm. But right now, China holds the cards.

53,255 views • 14 days ago

Elon Musk is attempting something extraordinary. Not just building another company. He is building the largest AI training cluster in the world. A million GPUs wired together. A brute-force attempt to scale intelligence itself. The capital required to do this is staggering. Forty to sixty billion dollars for one cluster. And yet this is just one experiment. This is the scale of ambition in AI right now. It is not about incremental software. It is about rewiring the fundamental limits of what machines can learn and know.

Elon Musk is attempting something extraordinary. Not just building another company. He is building the largest AI training cluster in the world. A million GPUs wired together. A brute-force attempt to scale intelligence itself. The capital required to do this is staggering. Forty to sixty billion dollars for one cluster. And yet this is just one experiment. This is the scale of ambition in AI right now. It is not about incremental software. It is about rewiring the fundamental limits of what machines can learn and know.

517,485 views • 7 months ago

Three years ago, a million tokens of AI inference cost $60. Today? Six cents. A 99.9% cost collapse. When something this powerful becomes this cheap, it doesn’t stay confined to research labs, It is able to flood the economy. AI is now diffusing faster than any technology in history — into every industry, every workflow, every device; 800 million people use ChatGPT weekly. And we’re still nowhere near the high-water mark of what’s possible. The real story is diffusion and ubiquity. Can intelligence become a utility — cheap, improving, self-learning, and embedded everywhere? Because in a geopolitical contest defined by capability and speed, the nation that diffuses intelligence the fastest, across government, industry, and society, will gain an extraordinary advantage.

Three years ago, a million tokens of AI inference cost $60. Today? Six cents. A 99.9% cost collapse. When something this powerful becomes this cheap, it doesn’t stay confined to research labs, It is able to flood the economy. AI is now diffusing faster than any technology in history — into every industry, every workflow, every device; 800 million people use ChatGPT weekly. And we’re still nowhere near the high-water mark of what’s possible. The real story is diffusion and ubiquity. Can intelligence become a utility — cheap, improving, self-learning, and embedded everywhere? Because in a geopolitical contest defined by capability and speed, the nation that diffuses intelligence the fastest, across government, industry, and society, will gain an extraordinary advantage.

292,399 views • 6 months ago

For two hundred thousand years, intelligence has been the rarest resource on earth. Locked inside individual human minds. Non‑scalable. Scarce. Every advance in civilization — every leap in science, art, industry, and statecraft — flowed from that scarcity. Artificial intelligence breaks that pattern. It makes intelligence abundant. It makes it cheap. It makes it scale. This is not just another wave of automation or software. It is the industrialization of intelligence itself. When intelligence becomes a utility, it stops being a tool that sits on top of society and starts becoming the foundation of society. It is a transformation as profound as the harnessing of electricity — but on a higher plane. Electricity powered machines. Industrial intelligence powers knowledge. And knowledge shapes everything. This shift will reorder the very structures that underpin nations. The two pillars that define sovereignty — economic strength and security — are being rebuilt on a substrate of machine intelligence. Nations that master this new utility will not simply gain efficiency. They will redefine what prosperity, power, and freedom mean in the 21st century. For me, this is the central story of our time. It is not about the latest app. It is not about hype cycles. It is about the first time in history that intelligence itself — the raw material of progress — has become infinite and industrial. The question is not whether it will transform society. It already is. The question is who will shape that transformation.

For two hundred thousand years, intelligence has been the rarest resource on earth. Locked inside individual human minds. Non‑scalable. Scarce. Every advance in civilization — every leap in science, art, industry, and statecraft — flowed from that scarcity. Artificial intelligence breaks that pattern. It makes intelligence abundant. It makes it cheap. It makes it scale. This is not just another wave of automation or software. It is the industrialization of intelligence itself. When intelligence becomes a utility, it stops being a tool that sits on top of society and starts becoming the foundation of society. It is a transformation as profound as the harnessing of electricity — but on a higher plane. Electricity powered machines. Industrial intelligence powers knowledge. And knowledge shapes everything. This shift will reorder the very structures that underpin nations. The two pillars that define sovereignty — economic strength and security — are being rebuilt on a substrate of machine intelligence. Nations that master this new utility will not simply gain efficiency. They will redefine what prosperity, power, and freedom mean in the 21st century. For me, this is the central story of our time. It is not about the latest app. It is not about hype cycles. It is about the first time in history that intelligence itself — the raw material of progress — has become infinite and industrial. The question is not whether it will transform society. It already is. The question is who will shape that transformation.

122,812 views • 5 months ago

China’s mission is defined. It sees technology as the vehicle for reclaiming power. The West, by contrast, has been distracted. Our brightest minds have too often been funneled into building trivial apps. Delivery services. Digital gimmicks. Social feeds. Meanwhile, AI has the power to reshape prosperity, security, and freedom. That is what this moment demands. A strategic reimagining of democracy in the age of intelligence. Because the greatest risk is not that AI overtakes us. It is that we fail to rise to the occasion.

China’s mission is defined. It sees technology as the vehicle for reclaiming power. The West, by contrast, has been distracted. Our brightest minds have too often been funneled into building trivial apps. Delivery services. Digital gimmicks. Social feeds. Meanwhile, AI has the power to reshape prosperity, security, and freedom. That is what this moment demands. A strategic reimagining of democracy in the age of intelligence. Because the greatest risk is not that AI overtakes us. It is that we fail to rise to the occasion.

128,385 views • 6 months ago

Everyone calls these new AI facilities data centres. That's wrong. What Elon Musk built in Memphis — gutting an abandoned refrigerator factory, wiring together 200,000 GPUs in 122 days — is not a data centre. It's an Intelligence Factory. This is the first film in my Industrial Intelligence series. Full video below.

Everyone calls these new AI facilities data centres. That's wrong. What Elon Musk built in Memphis — gutting an abandoned refrigerator factory, wiring together 200,000 GPUs in 122 days — is not a data centre. It's an Intelligence Factory. This is the first film in my Industrial Intelligence series. Full video below.

48,111 views • 2 months ago

Only two nations truly grasp the stakes. The United States and China. China declared its ambitions early. As far back as 2017, AI supremacy became national doctrine. By 2019, they had a plan to embed AI into every layer of the People’s Liberation Army—from logistics to weapons systems. The U.S. took a more fragmented approach, focusing on private sector innovation. But that changed overnight when Trump returned to office. The new American AI Action Plan is explicit. It removes regulatory barriers. It accelerates infrastructure. It promotes a full-stack national AI capability as a strategic imperative. This is not a policy debate. It is a race for dominance.

Only two nations truly grasp the stakes. The United States and China. China declared its ambitions early. As far back as 2017, AI supremacy became national doctrine. By 2019, they had a plan to embed AI into every layer of the People’s Liberation Army—from logistics to weapons systems. The U.S. took a more fragmented approach, focusing on private sector innovation. But that changed overnight when Trump returned to office. The new American AI Action Plan is explicit. It removes regulatory barriers. It accelerates infrastructure. It promotes a full-stack national AI capability as a strategic imperative. This is not a policy debate. It is a race for dominance.

33,649 views • 1 month ago

The pursuit of AI is the pursuit of knowledge. And knowledge has no endpoint. Intelligence is being turned into a commodity, scaled like any other industrial resource. But what it unlocks is something far more profound. David Deutsch calls it the beginning of infinity. That idea feels especially relevant now. As AI expands our capacity to understand complex systems from biology to medicine to physics we are not approaching a finish line. We are stepping into a phase where discovery becomes continuous.

The pursuit of AI is the pursuit of knowledge. And knowledge has no endpoint. Intelligence is being turned into a commodity, scaled like any other industrial resource. But what it unlocks is something far more profound. David Deutsch calls it the beginning of infinity. That idea feels especially relevant now. As AI expands our capacity to understand complex systems from biology to medicine to physics we are not approaching a finish line. We are stepping into a phase where discovery becomes continuous.

44,128 views • 5 months ago

Scaling performance is only part of the equation. The other half is cost. And what we are seeing right now is an unprecedented collapse in cost at industrial scale. Three years ago, running a million-token output with AI cost about sixty dollars. Today, it costs less than a cent. That is a 99.9 percent drop. In any other sector, that would be called a revolution. When something this powerful becomes that cheap, it is no longer a specialist tool. It becomes a foundational utility. This is the shift from niche capability to industrial infrastructure.

Scaling performance is only part of the equation. The other half is cost. And what we are seeing right now is an unprecedented collapse in cost at industrial scale. Three years ago, running a million-token output with AI cost about sixty dollars. Today, it costs less than a cent. That is a 99.9 percent drop. In any other sector, that would be called a revolution. When something this powerful becomes that cheap, it is no longer a specialist tool. It becomes a foundational utility. This is the shift from niche capability to industrial infrastructure.

30,435 views • 5 months ago

The greatest risk we face today is not market volatility. It is not even war in the traditional sense. It is that democracies fail to reimagine sovereignty and prosperity in the age of AI. This is not a theoretical threat. It is a practical one. Because power is shifting, rapidly, from the old levers of influence to the new architecture of intelligence. Nations that cannot adapt will not only fall behind. They will lose control of their economic future, their digital infrastructure, and ultimately their political agency.

The greatest risk we face today is not market volatility. It is not even war in the traditional sense. It is that democracies fail to reimagine sovereignty and prosperity in the age of AI. This is not a theoretical threat. It is a practical one. Because power is shifting, rapidly, from the old levers of influence to the new architecture of intelligence. Nations that cannot adapt will not only fall behind. They will lose control of their economic future, their digital infrastructure, and ultimately their political agency.

33,207 views • 8 months ago

Over $400 billion is being invested this year to build AI infrastructure—the vast majority of it from U.S. hyperscalers. Next year, that number rises to $500 billion. Why? Because they believe in a future where non-biological intelligence becomes a utility—flowing through every sector of the economy. And if intelligence is going to function like a utility—ubiquitous, cheap, and embedded everywhere—its a geopolitical event. Intelligence at industrial scale will rewrite the rules of power. It will determine who is prosperous, who is secure, and who leads in science and innovation. In the 21st century, every lever of sovereignty will flow downstream from the ability to build, control, and scale this industrial Intelligence.

Over $400 billion is being invested this year to build AI infrastructure—the vast majority of it from U.S. hyperscalers. Next year, that number rises to $500 billion. Why? Because they believe in a future where non-biological intelligence becomes a utility—flowing through every sector of the economy. And if intelligence is going to function like a utility—ubiquitous, cheap, and embedded everywhere—its a geopolitical event. Intelligence at industrial scale will rewrite the rules of power. It will determine who is prosperous, who is secure, and who leads in science and innovation. In the 21st century, every lever of sovereignty will flow downstream from the ability to build, control, and scale this industrial Intelligence.

21,772 views • 6 months ago

Everyone is asking about AI’s ROI. The use cases. The productivity gains. All of that matters, but it comes later. Because the bigger story isn’t about applications. It’s that a general intelligence is being industrialised. AI is no longer a software feature. It’s becoming the infrastructure layer of the next economy. The foundation upon which every industry, every transaction, and even future systems of governance will run. We’ve seen this before. Moore’s Law turned silicon into the backbone of the digital age. Now AI scaling laws are doing the same for intelligence — only faster, cheaper, and far more profound. Intelligence is becoming something we can manufacture, distribute, and embed everywhere. And once intelligence becomes industrial, the question shifts. It’s no longer what are the use cases? It’s who controls the infrastructure of intelligence? Because that answer won’t just determine which companies win — it will determine which nations do.

Everyone is asking about AI’s ROI. The use cases. The productivity gains. All of that matters, but it comes later. Because the bigger story isn’t about applications. It’s that a general intelligence is being industrialised. AI is no longer a software feature. It’s becoming the infrastructure layer of the next economy. The foundation upon which every industry, every transaction, and even future systems of governance will run. We’ve seen this before. Moore’s Law turned silicon into the backbone of the digital age. Now AI scaling laws are doing the same for intelligence — only faster, cheaper, and far more profound. Intelligence is becoming something we can manufacture, distribute, and embed everywhere. And once intelligence becomes industrial, the question shifts. It’s no longer what are the use cases? It’s who controls the infrastructure of intelligence? Because that answer won’t just determine which companies win — it will determine which nations do.

17,897 views • 4 months ago

We’re no longer just scaling computing power. We’re using compute to scale intelligence itself. That’s what makes this moment historically significant. For sixty years, progress in computing followed Moore’s Law—transistor density doubling roughly every two years. But AI is advancing on a far steeper curve. Today, frontier model capabilities are improving on a cadence closer to every six months—an order of magnitude faster than classical hardware scaling. The underlying principle is both simple and radical: when you increase data, compute, and model complexity, intelligence emerges. Scaling laws show that larger models—given sufficient compute and high-quality data—become predictably more capable. In just over a decade, we’ve gone from neural nets that could identify cats to systems that can draft legal briefs, write production-grade code, generate scientific hypotheses, and outperform top human competitors in mathematics, strategy, and reasoning tasks. This is no longer “software” in the traditional sense. It is a new form of intelligence—synthetic, scalable, rapidly compounding, and increasingly able to take meaningful action in the real world. The geopolitical, economic, and societal implications of this shift are only beginning to unfold—and they will redefine global power in the decades ahead.

We’re no longer just scaling computing power. We’re using compute to scale intelligence itself. That’s what makes this moment historically significant. For sixty years, progress in computing followed Moore’s Law—transistor density doubling roughly every two years. But AI is advancing on a far steeper curve. Today, frontier model capabilities are improving on a cadence closer to every six months—an order of magnitude faster than classical hardware scaling. The underlying principle is both simple and radical: when you increase data, compute, and model complexity, intelligence emerges. Scaling laws show that larger models—given sufficient compute and high-quality data—become predictably more capable. In just over a decade, we’ve gone from neural nets that could identify cats to systems that can draft legal briefs, write production-grade code, generate scientific hypotheses, and outperform top human competitors in mathematics, strategy, and reasoning tasks. This is no longer “software” in the traditional sense. It is a new form of intelligence—synthetic, scalable, rapidly compounding, and increasingly able to take meaningful action in the real world. The geopolitical, economic, and societal implications of this shift are only beginning to unfold—and they will redefine global power in the decades ahead.

17,717 views • 5 months ago

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