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Elon has locked capacity across every major advanced foundry on Earth. TSMC. Samsung on 2nm in Texas. Intel via Tera Fab. This isn’t allocation hunting. It’s building sovereign AI chip infrastructure as Taiwan risks mount. Triple redundancy where the rest of the industry has none. The supply chain moat...

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Farzad 🇺🇸 🇮🇷

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34,886 views • 2 months ago •via X (Twitter)

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🇶🇦 Semiconductor stocks are dropping as markets react to a potential helium supply shock tied to disruptions in Qatar, a major global supplier. Helium is critical for cooling in chip manufacturing, and countries like South Korea and Taiwan depend heavily on Qatari supply for companies like Samsung, SK Hynix, and TSMC. Any prolonged disruption risks slowing production across the global chip chain,and markets are already pricing in that worst-case scenario. The supply chain stress is showing up in real time. Source: Bloomberg, The Compound
1:37

🇶🇦 Semiconductor stocks are dropping as markets react to a potential helium supply shock tied to disruptions in Qatar, a major global supplier. Helium is critical for cooling in chip manufacturing, and countries like South Korea and Taiwan depend heavily on Qatari supply for companies like Samsung, SK Hynix, and TSMC. Any prolonged disruption risks slowing production across the global chip chain,and markets are already pricing in that worst-case scenario. The supply chain stress is showing up in real time. Source: Bloomberg, The Compound

Mario Nawfal

46,860 views • 3 months ago

Many still don’t understand why Elon is building Terafab Terafab is an extension to all the chip makers in the world It’s not about replacement, not a rivalry and absolutely not competing It’s being built to fulfill the massive chip orders that Tesla, SpaceX and xAI actually need TSMC’s most advanced 2nm capacity is totally booked through 2028 Tesla signed a massive $16.5 billion deal with Samsung back in July 2025 to produce AI6 chips at their Taylor, Texas factory and Samsung is building a Tesla Exclusive chip manufacturing plant to full fill this orders When Elon announced Terafab on March 21, 2026...he made it clear: “That rate is much less than we’d like. We either build the Terafab or we don’t have the chips, and we need the chips, so we build the Terafab” He basically told the chip makers: “Produce as much as you comfortably can. We will take them all. Actually we want even more” Even today Elon said: "SpaceX/Tesla will be always be major customers of TSMC and not competitors in the normal sense of the word" Current production rates are much less than they need....That’s why Terafab exists Terafab is an extension to every chip maker… not competition, not rivalry, absolutely not Even Intel has joined as a partner Even if chip supply improves, massive bottlenecks still exist with memory and advanced packaging You simply can't risk those supply chain breaks at this scale That’s why Terafab is being built to vertically integrate everything - chips, memory, advanced packaging all under one roof, targeting 1 terawatt of AI compute capacity per year This is a ludicrous amount of chips that no chipmaker currently produces at this scale. I don't think even TSMC and Samsung truly understand these numbers yet It’s about building the capacity the future actually demands
0:36

Many still don’t understand why Elon is building Terafab Terafab is an extension to all the chip makers in the world It’s not about replacement, not a rivalry and absolutely not competing It’s being built to fulfill the massive chip orders that Tesla, SpaceX and xAI actually need TSMC’s most advanced 2nm capacity is totally booked through 2028 Tesla signed a massive $16.5 billion deal with Samsung back in July 2025 to produce AI6 chips at their Taylor, Texas factory and Samsung is building a Tesla Exclusive chip manufacturing plant to full fill this orders When Elon announced Terafab on March 21, 2026...he made it clear: “That rate is much less than we’d like. We either build the Terafab or we don’t have the chips, and we need the chips, so we build the Terafab” He basically told the chip makers: “Produce as much as you comfortably can. We will take them all. Actually we want even more” Even today Elon said: "SpaceX/Tesla will be always be major customers of TSMC and not competitors in the normal sense of the word" Current production rates are much less than they need....That’s why Terafab exists Terafab is an extension to every chip maker… not competition, not rivalry, absolutely not Even Intel has joined as a partner Even if chip supply improves, massive bottlenecks still exist with memory and advanced packaging You simply can't risk those supply chain breaks at this scale That’s why Terafab is being built to vertically integrate everything - chips, memory, advanced packaging all under one roof, targeting 1 terawatt of AI compute capacity per year This is a ludicrous amount of chips that no chipmaker currently produces at this scale. I don't think even TSMC and Samsung truly understand these numbers yet It’s about building the capacity the future actually demands

X Freeze

53,291 views • 3 months ago

Elon Musk has been publicly stuck in the Tesla CEO role he never wanted. The solution has been operating in plain sight for 17 years at SpaceX. Gwynne Shotwell just absorbed xAI into the SpaceX entity she runs. Tesla is next. The consolidation frees Elon to do psychotic engineering at the highest level while one of tech’s best operators executes across the empire. *** thanks to David Carbutt and team for the edit.
21:48

Elon Musk has been publicly stuck in the Tesla CEO role he never wanted. The solution has been operating in plain sight for 17 years at SpaceX. Gwynne Shotwell just absorbed xAI into the SpaceX entity she runs. Tesla is next. The consolidation frees Elon to do psychotic engineering at the highest level while one of tech’s best operators executes across the empire. *** thanks to David Carbutt and team for the edit.

Farzad 🇺🇸 🇮🇷

120,632 views • 2 months ago

$AMD is ready to break $1 Trillion MC| $TSM 2nm🧵 TLDR FY 2026(Excluding China AI Revenue) AI GPUs: $35-$50B EPYC Data Center: $15B-$17B Client Segment: $12-$13B Gaming: $6B Embedded: $4B-$5B Total Revenue $70-$100B Non-GAAP net income $18B-$25B Non-GAAP EPS $10.97-$15.40 Foward P/E 55x-70x= $603-$1,078 The semiconductor industry is at a pivotal juncture, with advanced process nodes like TSMC's 2nm technology becoming the battleground for leadership in artificial intelligence and high-performance computing (HPC). Amid this landscape, AMD stands poised to secure early production and higher allocation of its Venice (EPYC ) and MI450 (Instinct GPUs) on TSMC's 2nm process. This strategic advantage is not merely a product of timing but a culmination of a robust partnership, market demand, technical superiority, and geopolitical dynamics. The AI and HPC markets are experiencing unprecedented growth, with inference workloads projected to constitute 80-90% of AI compute by 2030. AMD's EPYC processors and Instinct GPUs are uniquely positioned to capitalize on this trend, particularly given the demand from hyperscalers such as OpenAI , $META , $MSFT, $AMZN, and $ORCL. With $TSM starting 2nm Mass Production in Taiwan is ensuring AMD to meet FY2026 $70B to $100B revenue, driven by non-GAAP net income of $18B to $25B highlights the scale of this opportunity, starkly contrasting with analyst revenue consensus of $39-$45B. This discrepancy arises from analysts' failure to account for major orders, notably from OpenAI(Today SoftBank secured OpenAI a massive cash balance of $55-$62B).OpenAI is raising $100B, so this left $77B from UAE, Saudi, $MSFT, and others. $AMD is on track to receive higher allocation of EPYC Venice and Mi450 in 2026. AMD's acquisition of Xilinx has significantly strengthened its position in AI inference, particularly through adaptive computing technologies like FPGA-based AI Engines. The upcoming Zen 6 "Venice" generation (on TSMC 2nm, launching with MI450 in 2026) promises ~1.7× performance uplift, enhanced vector/AI capabilities, greater thread density, and open firmware innovations positioning EPYC to maintain its inference leadership while powering massive hybrid AI superclusters. TSMC's Fab 22 in Kaohsiung, Taiwan, is now the epicenter of 2nm mass production, a earlier strategic move to meet soaring demand from $AMD and $AAPL. Early production slots are typically reserved for customers with the highest revenue potential and strategic importance. AMD's early tape-out of Venice and the MI450's role as the first AMD GPU on 2nm place it at the forefront of this allocation. The 2nm process offers 10-15% higher performance or 25-30% lower power use compared to 3nm, a critical advantage for AI and HPC applications(TSMC claimed) Moreover, TSMC's recent 20% yield improvement in Versal production, as mentioned in related discussions, indicates efficient scaling. Higher yields translate to more chips produced per wafer, reducing costs and increasing allocation for key customers like AMD. This efficiency is particularly important given the aggressive timelines of customers like OpenAI, who require rapid scaling to meet their computational needs. The reopening of the China market adds another layer of demand pressure. Vendors and hyperscalers are begging for allocation of AMD's MI308X, MI300X, and MI355X, and the 2nm capacity will be critical to meet this need. TSMC's early production of 2nm ensures AMD can capitalize on this opportunity, securing higher allocation to fulfill these orders. Dr. Lisa Su's emphasis on disciplined supply chain planning for multiple gigawatt-scale customers, such as OpenAI, demonstrates AMD's readiness to scale. TSMC's confidence in AMD's ability to absorb this capacity is evident in the early 2nm production allocation. This discipline is particularly important in a market where demand outstrips supply by 10-12x. TSMC's competitors, such as Samsung and Intel, are still in the early stages of their 2nm and equivalent processes. Samsung's 2nm GAA transistors and Intel's 18A process are not yet in mass production, giving TSMC and AMD a first-mover advantage. Nvidia's acquisition of Groq Inc. is a defensive move to diversify into inference, but it does not immediately address the 2nm gap. AMD EPYC Venice and future Gen are already ahead of lowest cost for Inference along with MI450 has TCO of $0.65 to $1.00 per million inference tokens, significantly lower than Nvidia's Rubik (H2 2026) at $0.70 to $1.20 and Broadcom's XPU (2027-2029) at $0.70 to $1.30. Additionally, the MI450's TDP is estimated at 1000-1800W, compared to Nvidia's 2300-3600W (Ultra), reducing operational costs and energy consumption(TSMC 2nm vs TSMC 3nm). The MI450 features 432GB of HBM4 memory and 19.6 TB/s bandwidth, surpassing Nvidia's Rubik (288GB HBM4, 16 TB/s) and Broadcom's XPU (192/256GB HBM4, 7 TB/s est). This enhanced memory and bandwidth capacity is essential for handling the complex, data-intensive workloads of large language models and other AI applications. AMD's full-stack vision, combining EPYC hosts with Instinct accelerators, offers the lowest total cost of ownership (TCO) and thermal design power (TDP). This synergy is unbeatable for both training and inference, further justifying TSMC's prioritization. The 2nm process amplifies these advantages, ensuring AMD can maintain its competitive edge over rivals like Nvidia, whose Rubin GPUs are still on N3P (a 3nm derivative). Today, TSMC just secured $AMD to join the top 10 largest companies in the world as it begins 2nm mass production in Taiwan. AMD and Apple are to receive highest allocation. The long-standing partnership with TSMC, massive demand from hyperscalers, technical advantages of 2nm, and disciplined supply chain planning all point to AMD's favored position. The 2nm process's early mass production at Fab 22, combined with AMD's revenue potential and competitive edge, justifies TSMC's prioritization. This allocation is critical for AMD to meet aggressive demand, capture market share, and solidify its position as a leader in AI and HPC, especially in the inference-dominated future. Dr. Lisa Su "We will multiple customers/hyperscalers at GW scale" Not Financial Advice!
2:38

$AMD is ready to break $1 Trillion MC| $TSM 2nm🧵 TLDR FY 2026(Excluding China AI Revenue) AI GPUs: $35-$50B EPYC Data Center: $15B-$17B Client Segment: $12-$13B Gaming: $6B Embedded: $4B-$5B Total Revenue $70-$100B Non-GAAP net income $18B-$25B Non-GAAP EPS $10.97-$15.40 Foward P/E 55x-70x= $603-$1,078 The semiconductor industry is at a pivotal juncture, with advanced process nodes like TSMC's 2nm technology becoming the battleground for leadership in artificial intelligence and high-performance computing (HPC). Amid this landscape, AMD stands poised to secure early production and higher allocation of its Venice (EPYC ) and MI450 (Instinct GPUs) on TSMC's 2nm process. This strategic advantage is not merely a product of timing but a culmination of a robust partnership, market demand, technical superiority, and geopolitical dynamics. The AI and HPC markets are experiencing unprecedented growth, with inference workloads projected to constitute 80-90% of AI compute by 2030. AMD's EPYC processors and Instinct GPUs are uniquely positioned to capitalize on this trend, particularly given the demand from hyperscalers such as OpenAI , $META , $MSFT, $AMZN, and $ORCL. With $TSM starting 2nm Mass Production in Taiwan is ensuring AMD to meet FY2026 $70B to $100B revenue, driven by non-GAAP net income of $18B to $25B highlights the scale of this opportunity, starkly contrasting with analyst revenue consensus of $39-$45B. This discrepancy arises from analysts' failure to account for major orders, notably from OpenAI(Today SoftBank secured OpenAI a massive cash balance of $55-$62B).OpenAI is raising $100B, so this left $77B from UAE, Saudi, $MSFT, and others. $AMD is on track to receive higher allocation of EPYC Venice and Mi450 in 2026. AMD's acquisition of Xilinx has significantly strengthened its position in AI inference, particularly through adaptive computing technologies like FPGA-based AI Engines. The upcoming Zen 6 "Venice" generation (on TSMC 2nm, launching with MI450 in 2026) promises ~1.7× performance uplift, enhanced vector/AI capabilities, greater thread density, and open firmware innovations positioning EPYC to maintain its inference leadership while powering massive hybrid AI superclusters. TSMC's Fab 22 in Kaohsiung, Taiwan, is now the epicenter of 2nm mass production, a earlier strategic move to meet soaring demand from $AMD and $AAPL. Early production slots are typically reserved for customers with the highest revenue potential and strategic importance. AMD's early tape-out of Venice and the MI450's role as the first AMD GPU on 2nm place it at the forefront of this allocation. The 2nm process offers 10-15% higher performance or 25-30% lower power use compared to 3nm, a critical advantage for AI and HPC applications(TSMC claimed) Moreover, TSMC's recent 20% yield improvement in Versal production, as mentioned in related discussions, indicates efficient scaling. Higher yields translate to more chips produced per wafer, reducing costs and increasing allocation for key customers like AMD. This efficiency is particularly important given the aggressive timelines of customers like OpenAI, who require rapid scaling to meet their computational needs. The reopening of the China market adds another layer of demand pressure. Vendors and hyperscalers are begging for allocation of AMD's MI308X, MI300X, and MI355X, and the 2nm capacity will be critical to meet this need. TSMC's early production of 2nm ensures AMD can capitalize on this opportunity, securing higher allocation to fulfill these orders. Dr. Lisa Su's emphasis on disciplined supply chain planning for multiple gigawatt-scale customers, such as OpenAI, demonstrates AMD's readiness to scale. TSMC's confidence in AMD's ability to absorb this capacity is evident in the early 2nm production allocation. This discipline is particularly important in a market where demand outstrips supply by 10-12x. TSMC's competitors, such as Samsung and Intel, are still in the early stages of their 2nm and equivalent processes. Samsung's 2nm GAA transistors and Intel's 18A process are not yet in mass production, giving TSMC and AMD a first-mover advantage. Nvidia's acquisition of Groq Inc. is a defensive move to diversify into inference, but it does not immediately address the 2nm gap. AMD EPYC Venice and future Gen are already ahead of lowest cost for Inference along with MI450 has TCO of $0.65 to $1.00 per million inference tokens, significantly lower than Nvidia's Rubik (H2 2026) at $0.70 to $1.20 and Broadcom's XPU (2027-2029) at $0.70 to $1.30. Additionally, the MI450's TDP is estimated at 1000-1800W, compared to Nvidia's 2300-3600W (Ultra), reducing operational costs and energy consumption(TSMC 2nm vs TSMC 3nm). The MI450 features 432GB of HBM4 memory and 19.6 TB/s bandwidth, surpassing Nvidia's Rubik (288GB HBM4, 16 TB/s) and Broadcom's XPU (192/256GB HBM4, 7 TB/s est). This enhanced memory and bandwidth capacity is essential for handling the complex, data-intensive workloads of large language models and other AI applications. AMD's full-stack vision, combining EPYC hosts with Instinct accelerators, offers the lowest total cost of ownership (TCO) and thermal design power (TDP). This synergy is unbeatable for both training and inference, further justifying TSMC's prioritization. The 2nm process amplifies these advantages, ensuring AMD can maintain its competitive edge over rivals like Nvidia, whose Rubin GPUs are still on N3P (a 3nm derivative). Today, TSMC just secured $AMD to join the top 10 largest companies in the world as it begins 2nm mass production in Taiwan. AMD and Apple are to receive highest allocation. The long-standing partnership with TSMC, massive demand from hyperscalers, technical advantages of 2nm, and disciplined supply chain planning all point to AMD's favored position. The 2nm process's early mass production at Fab 22, combined with AMD's revenue potential and competitive edge, justifies TSMC's prioritization. This allocation is critical for AMD to meet aggressive demand, capture market share, and solidify its position as a leader in AI and HPC, especially in the inference-dominated future. Dr. Lisa Su "We will multiple customers/hyperscalers at GW scale" Not Financial Advice!

Mike

43,219 views • 6 months ago

The jury verdict in the OpenAI case will quietly rewrite US charity law for the next century. $130B is sitting in a for-profit that started as a tax-deductible nonprofit. There's no precedent for unwinding this. So the precedent gets written here. *** thanks to David Carbutt and team for the edit.
32:08

The jury verdict in the OpenAI case will quietly rewrite US charity law for the next century. $130B is sitting in a for-profit that started as a tax-deductible nonprofit. There's no precedent for unwinding this. So the precedent gets written here. *** thanks to David Carbutt and team for the edit.

Farzad 🇺🇸 🇮🇷

18,307 views • 2 months ago

Another milestone at Childress! $IREN's second 345kV / 138kV transformer has arrived on site. David Shaw, Chief Operating Officer, commented “The procurement of this bulk substation transformer amid global supply constraints demonstrates the strength of our infrastructure team and the depth of our supplier relationships. In addition to supporting future expansion at Childress, the transformer adds redundancy and reinforces the resilience of our high-voltage platform as we scale towards 750MW of data center capacity.
0:27

Another milestone at Childress! $IREN's second 345kV / 138kV transformer has arrived on site. David Shaw, Chief Operating Officer, commented “The procurement of this bulk substation transformer amid global supply constraints demonstrates the strength of our infrastructure team and the depth of our supplier relationships. In addition to supporting future expansion at Childress, the transformer adds redundancy and reinforces the resilience of our high-voltage platform as we scale towards 750MW of data center capacity.

IREN

34,004 views • 1 year ago

Japan just bet $16 BILLION on a chip startup that has never shipped a single chip to a paying customer. It's the biggest Hail Mary in modern tech history. But the real problem is about what happens IF it works... On April 11th, Japan approved another $4 billion in subsidies for a company called Rapidus. Total government investment: $16.3 billion. Here's what Rapidus is: Founded in 2022. 4 years old. Zero commercial chips shipped. Zero proven yields. No IPO planned until 2031. Their stated goal: Produce 2-nanometer chips by 2027 at a facility in Hokkaido. For context, 2nm is the absolute bleeding edge of semiconductor manufacturing. Only one company on Earth can do it today: TSMC. TSMC alone is spending $50 BILLION in capital expenditure THIS year. Rapidus has $16 billion TOTAL. To catch up to a company that's been at this for 40 years. In 18 months. Now look at the global picture: United States: CHIPS Act. $280 billion in subsidies. Musk's Terafab project just announced. Bernstein estimates the REAL cost to hit Terafab's stated targets is $5 TRILLION. Europe: €43 billion. China: Entire state apparatus behind SMIC and Huawei. DeepSeek V4 launching on 100% Chinese silicon this month. Japan: $16.3 billion on Rapidus. South Korea: Samsung spending tens of billions to reclaim the 2nm lead. Every major economy on Earth is now treating chip manufacturing as a national security priority. And every single one is building the same thing: Domestic 2nm capacity for AI. But nobody is asking the obvious question... What happens when ALL of them succeed? Right now, Nvidia buys every wafer TSMC can make. "Insatiable demand." Now imagine 2028. TSMC still at full capacity. Samsung has caught up. Intel's 18A is shipping. Rapidus is live. Terafab is online. China's SMIC producing 3nm at scale. Supply has tripled. Has AI demand tripled? Probably not. Model efficiency is improving faster than compute demand. Google's TurboQuant cut memory requirements by 6X with no accuracy loss. DeepSeek proved you can train frontier models for a fraction of the cost. Smaller models are eating bigger ones. The current AI chip shortage isn't permanent. It's a temporary demand spike colliding with a slow supply chain. And governments are now committing hundreds of billions of dollars to solve a problem that might not exist by the time their factories come online. This is how every semiconductor glut in history has started: Governments panic about a shortage. Throw money at capacity. The capacity comes online. Everybody discovers at the same time that demand wasn't what they thought. In 1996, memory prices collapsed 80% when Korean fabs came online. In 2001, the sector lost $300 billion in value. The difference in 2026 is that the bets are bigger than any private company has ever been willing to make. Every one of these bets is the same political statement: We refuse to be dependent on Taiwan. Every government on Earth is making it with taxpayer money. And none of them are coordinating. In 1984, Japan did this exact thing with memory chips. Flooded the market. The entire US memory industry collapsed within 3 years. Then 15 years later, Korea did the same thing to Japan. Then 15 years later, China did it to Korea. The cycle isn't new. What's new is the SCALE. And the fact that nobody wants to be the country that admits the shortage might be temporary. So the money keeps flowing. The fabs keep getting built. And somewhere around 2028, the same analysts currently calling AI chips "insatiable" will start writing articles about the great semiconductor glut of the late 2020s. The question isn't whether Rapidus succeeds. The question is whether ANY of these bets can succeed at the same time. They can't. One of these countries is going to end up holding the bag. Japan is betting $16 billion that it won't be them. What do you think?
0:40

Japan just bet $16 BILLION on a chip startup that has never shipped a single chip to a paying customer. It's the biggest Hail Mary in modern tech history. But the real problem is about what happens IF it works... On April 11th, Japan approved another $4 billion in subsidies for a company called Rapidus. Total government investment: $16.3 billion. Here's what Rapidus is: Founded in 2022. 4 years old. Zero commercial chips shipped. Zero proven yields. No IPO planned until 2031. Their stated goal: Produce 2-nanometer chips by 2027 at a facility in Hokkaido. For context, 2nm is the absolute bleeding edge of semiconductor manufacturing. Only one company on Earth can do it today: TSMC. TSMC alone is spending $50 BILLION in capital expenditure THIS year. Rapidus has $16 billion TOTAL. To catch up to a company that's been at this for 40 years. In 18 months. Now look at the global picture: United States: CHIPS Act. $280 billion in subsidies. Musk's Terafab project just announced. Bernstein estimates the REAL cost to hit Terafab's stated targets is $5 TRILLION. Europe: €43 billion. China: Entire state apparatus behind SMIC and Huawei. DeepSeek V4 launching on 100% Chinese silicon this month. Japan: $16.3 billion on Rapidus. South Korea: Samsung spending tens of billions to reclaim the 2nm lead. Every major economy on Earth is now treating chip manufacturing as a national security priority. And every single one is building the same thing: Domestic 2nm capacity for AI. But nobody is asking the obvious question... What happens when ALL of them succeed? Right now, Nvidia buys every wafer TSMC can make. "Insatiable demand." Now imagine 2028. TSMC still at full capacity. Samsung has caught up. Intel's 18A is shipping. Rapidus is live. Terafab is online. China's SMIC producing 3nm at scale. Supply has tripled. Has AI demand tripled? Probably not. Model efficiency is improving faster than compute demand. Google's TurboQuant cut memory requirements by 6X with no accuracy loss. DeepSeek proved you can train frontier models for a fraction of the cost. Smaller models are eating bigger ones. The current AI chip shortage isn't permanent. It's a temporary demand spike colliding with a slow supply chain. And governments are now committing hundreds of billions of dollars to solve a problem that might not exist by the time their factories come online. This is how every semiconductor glut in history has started: Governments panic about a shortage. Throw money at capacity. The capacity comes online. Everybody discovers at the same time that demand wasn't what they thought. In 1996, memory prices collapsed 80% when Korean fabs came online. In 2001, the sector lost $300 billion in value. The difference in 2026 is that the bets are bigger than any private company has ever been willing to make. Every one of these bets is the same political statement: We refuse to be dependent on Taiwan. Every government on Earth is making it with taxpayer money. And none of them are coordinating. In 1984, Japan did this exact thing with memory chips. Flooded the market. The entire US memory industry collapsed within 3 years. Then 15 years later, Korea did the same thing to Japan. Then 15 years later, China did it to Korea. The cycle isn't new. What's new is the SCALE. And the fact that nobody wants to be the country that admits the shortage might be temporary. So the money keeps flowing. The fabs keep getting built. And somewhere around 2028, the same analysts currently calling AI chips "insatiable" will start writing articles about the great semiconductor glut of the late 2020s. The question isn't whether Rapidus succeeds. The question is whether ANY of these bets can succeed at the same time. They can't. One of these countries is going to end up holding the bag. Japan is betting $16 billion that it won't be them. What do you think?

Ricardo

35,151 views • 3 months ago

Elon Musk just told the world his plan to own the one thing every AI on Earth depends on. The silicon. The entire AI industry is fighting over the same layer. Models. Parameters. Data. Benchmarks. All of it runs on chips none of them produce. Every frontier lab on the planet is building intelligence on a foundation they do not control, in a country they cannot influence, on an island they could not defend. Musk: “You design a chip, you fabricate the chip, you test the chip, you redesign the chip, and you fabricate it again. All under one roof.” That’s the Terafab. One building in Austin, Texas. No wafers shipped across the Pacific. No six-month tape-out cycles. No single point of geopolitical failure sitting in the Taiwan Strait. Total vertical sovereignty over silicon. But sovereignty is not the endgame. Sovereignty is what makes the endgame possible. Speed. Every fab on Earth optimizes for yield. For cost. For predictable output at massive scale. The Terafab optimizes for one variable only. Learning speed. That distinction will define the next era of compute. When your iteration cycle compresses from months to days, perfection on the first attempt becomes irrelevant. What matters is how fast you reach the fiftieth. That is the exact principle that made SpaceX untouchable. They did not build a superior rocket on the first try. They built a system where failure was cheap and iteration was relentless. And that system produced something no one else could match. Now transplant that into semiconductors. Musk: “New physics. Wild and crazy things.” He is not trying to out-manufacture TSMC. He is trying to make TSMC’s entire model a relic of a slower era. TSMC cannot take radical bets on unproven architecture. Their customers demand predictability. Their margins demand stability. Their entire empire is built on perfecting what already works. Elon’s model is built on trying what has never worked. Repeatedly. At near-zero cost. Until it does. When the cost of failure approaches zero, breakthroughs stop being accidents. They become mathematically inevitable. Now add the layer that makes this permanent. xAI builds frontier AI. That AI assists in chip design. Better chips accelerate the AI. Faster AI designs better chips. That is not a production line. That is a compounding feedback loop with no external dependency. And nobody else on Earth can run it. Intel has fabs but no frontier AI. NVIDIA designs but does not fabricate. TSMC fabricates but does not design. Google designs but outsources production. Every one of them has a structural gap they cannot close. Elon is closing his. The AI that architects the chip. The fab that forges it. The vehicles and robots that run on it. The data they generate. The AI that trains on that data to design the next generation. Full circle. No seams. No permission required from any government, company, or supply chain on Earth. That is not a factory. That is a self-improving system with a physical body. A structure that manufactures upgrades to its own capacity to think. That has never existed before. Not as a concept. Not as a metaphor. As a building. Every era of human civilization was defined by whoever mastered its most critical substrate. Land built empires. Iron built armies. Oil built superpowers. The next substrate is compute. And a single facility in Austin is being designed to produce it in a closed loop that no competitor can replicate, no government can embargo, and no market force can interrupt. That is not a factory announcement. That is the foundation of the first self-reinforcing intelligence monopoly in the history of this species. And the loop only needs to start once.
0:44

Elon Musk just told the world his plan to own the one thing every AI on Earth depends on. The silicon. The entire AI industry is fighting over the same layer. Models. Parameters. Data. Benchmarks. All of it runs on chips none of them produce. Every frontier lab on the planet is building intelligence on a foundation they do not control, in a country they cannot influence, on an island they could not defend. Musk: “You design a chip, you fabricate the chip, you test the chip, you redesign the chip, and you fabricate it again. All under one roof.” That’s the Terafab. One building in Austin, Texas. No wafers shipped across the Pacific. No six-month tape-out cycles. No single point of geopolitical failure sitting in the Taiwan Strait. Total vertical sovereignty over silicon. But sovereignty is not the endgame. Sovereignty is what makes the endgame possible. Speed. Every fab on Earth optimizes for yield. For cost. For predictable output at massive scale. The Terafab optimizes for one variable only. Learning speed. That distinction will define the next era of compute. When your iteration cycle compresses from months to days, perfection on the first attempt becomes irrelevant. What matters is how fast you reach the fiftieth. That is the exact principle that made SpaceX untouchable. They did not build a superior rocket on the first try. They built a system where failure was cheap and iteration was relentless. And that system produced something no one else could match. Now transplant that into semiconductors. Musk: “New physics. Wild and crazy things.” He is not trying to out-manufacture TSMC. He is trying to make TSMC’s entire model a relic of a slower era. TSMC cannot take radical bets on unproven architecture. Their customers demand predictability. Their margins demand stability. Their entire empire is built on perfecting what already works. Elon’s model is built on trying what has never worked. Repeatedly. At near-zero cost. Until it does. When the cost of failure approaches zero, breakthroughs stop being accidents. They become mathematically inevitable. Now add the layer that makes this permanent. xAI builds frontier AI. That AI assists in chip design. Better chips accelerate the AI. Faster AI designs better chips. That is not a production line. That is a compounding feedback loop with no external dependency. And nobody else on Earth can run it. Intel has fabs but no frontier AI. NVIDIA designs but does not fabricate. TSMC fabricates but does not design. Google designs but outsources production. Every one of them has a structural gap they cannot close. Elon is closing his. The AI that architects the chip. The fab that forges it. The vehicles and robots that run on it. The data they generate. The AI that trains on that data to design the next generation. Full circle. No seams. No permission required from any government, company, or supply chain on Earth. That is not a factory. That is a self-improving system with a physical body. A structure that manufactures upgrades to its own capacity to think. That has never existed before. Not as a concept. Not as a metaphor. As a building. Every era of human civilization was defined by whoever mastered its most critical substrate. Land built empires. Iron built armies. Oil built superpowers. The next substrate is compute. And a single facility in Austin is being designed to produce it in a closed loop that no competitor can replicate, no government can embargo, and no market force can interrupt. That is not a factory announcement. That is the foundation of the first self-reinforcing intelligence monopoly in the history of this species. And the loop only needs to start once.

Dustin

44,911 views • 2 days ago

Sphere Semi CEO Glinert 🇺🇸 🏭's hot take: the day that Intel 14A works, Taiwan starts becoming irrelevant. "Intel has as much capacity as TSMC. Incredible amounts of capacity." "TSMC Arizona, yeah, has capacity, but they're never going to put their lowest node stuff there because they're not stupid." "The day that Apple and AMD and Nvidia start really putting volume into 14A Intel's fabs, that's kind of it for Taiwan as a thing that we care about." "However, there are a few reasons why TSMC + Samsung + Japanese fabs + Intel are a lot better, and I think number one is that we're really good at design."
2:02

Sphere Semi CEO Glinert 🇺🇸 🏭's hot take: the day that Intel 14A works, Taiwan starts becoming irrelevant. "Intel has as much capacity as TSMC. Incredible amounts of capacity." "TSMC Arizona, yeah, has capacity, but they're never going to put their lowest node stuff there because they're not stupid." "The day that Apple and AMD and Nvidia start really putting volume into 14A Intel's fabs, that's kind of it for Taiwan as a thing that we care about." "However, there are a few reasons why TSMC + Samsung + Japanese fabs + Intel are a lot better, and I think number one is that we're really good at design."

MTS

32,915 views • 2 months ago

ELON: TESLA'S PEDAL TO THE METAL ON AI5 & AI6 "Tesla's pedal to the metal max production is to get Tesla AI5 chip design into production and then reaching scale, that'll probably happen around the second quarter of next year. AI6 would hopefully follow less than a year later. We've secured all the chip fab production that we can using TSMC Taiwan, Samsung Korea, TSMC Arizona, Samsung Texas. The limiting factor once you can get to space is chips, but the limiting factor before you can get to space will be power." Source: Cheeky Pint Podcast, Elon Musk
1:20

ELON: TESLA'S PEDAL TO THE METAL ON AI5 & AI6 "Tesla's pedal to the metal max production is to get Tesla AI5 chip design into production and then reaching scale, that'll probably happen around the second quarter of next year. AI6 would hopefully follow less than a year later. We've secured all the chip fab production that we can using TSMC Taiwan, Samsung Korea, TSMC Arizona, Samsung Texas. The limiting factor once you can get to space is chips, but the limiting factor before you can get to space will be power." Source: Cheeky Pint Podcast, Elon Musk

Mario Nawfal

72,185 views • 5 months ago

OpenLedger Mainnet is Now Live OpenLedger is now the chain where builders can launch next-generation on-chain platforms. From core infrastructure to new digital economies, The entire stack is OPEN for teams ready to launch, scale, and innovate on top of OpenLedger Blockchain. With Blockchain Enabling AI Fairness On-Chain across the web3, this is where the future of AI and blockchain is defined, and the next chapter of on-chain intelligence begins.
0:34

OpenLedger Mainnet is Now Live OpenLedger is now the chain where builders can launch next-generation on-chain platforms. From core infrastructure to new digital economies, The entire stack is OPEN for teams ready to launch, scale, and innovate on top of OpenLedger Blockchain. With Blockchain Enabling AI Fairness On-Chain across the web3, this is where the future of AI and blockchain is defined, and the next chapter of on-chain intelligence begins.

Openledger Foundation

223,995 views • 8 months ago

In the 20th century, power depended on OIL and STEEL. In the 21st century, power depends on AI, CHIPS and COMPUTE CAPABILITY. At AI Summit 2026 India, I spoke about why the GPU challenge is not just a ‘supply chain issue’ but a ‘sovereignty issue’. In the AI century, power will rest with those who control chips, compute capacity and data centres. Today, design monopolies, manufacturing concentration and export controls determine who gets access. India controls none of these critical levers. We have the talent. We have the ambition. We have the intent. We have the capital. But talent without compute is aspiration. And compute without sovereignty is dependence. The role of policymakers is not to slow AI down; it is to remove bottlenecks, diversify access, set clear national targets, and build sovereign AI infrastructure in India. This is not partisan. It is strategic. #IndiaAIImpactSummit2026 #AI #ResponsibleAI #ArtificialIntelligence #BharatMandapam
3:41

In the 20th century, power depended on OIL and STEEL. In the 21st century, power depends on AI, CHIPS and COMPUTE CAPABILITY. At AI Summit 2026 India, I spoke about why the GPU challenge is not just a ‘supply chain issue’ but a ‘sovereignty issue’. In the AI century, power will rest with those who control chips, compute capacity and data centres. Today, design monopolies, manufacturing concentration and export controls determine who gets access. India controls none of these critical levers. We have the talent. We have the ambition. We have the intent. We have the capital. But talent without compute is aspiration. And compute without sovereignty is dependence. The role of policymakers is not to slow AI down; it is to remove bottlenecks, diversify access, set clear national targets, and build sovereign AI infrastructure in India. This is not partisan. It is strategic. #IndiaAIImpactSummit2026 #AI #ResponsibleAI #ArtificialIntelligence #BharatMandapam

Raghav Chadha

70,153 views • 5 months ago

This is fascinating! Patrick Boyle 💎 says for the last 20+ years the supply of shares on public markets has been shrinking thanks to buybacks & taking companies private As of last week the supply of shares on the US exchanges has stopped shrinking, putting downward price pressure
4:55

This is fascinating! Patrick Boyle 💎 says for the last 20+ years the supply of shares on public markets has been shrinking thanks to buybacks & taking companies private As of last week the supply of shares on the US exchanges has stopped shrinking, putting downward price pressure

Financelot

50,512 views • 1 month ago

ONE DAY BEFORE THE BIGGEST IPO IN HISTORY, MUSK IS PITCHING A $119 BILLION CHIP FACTORY TO THE ONLY COMPANY THAT CAN BUILD IT. 🇺🇸 This week Musk speaks at ASML's private conference, the firm whose machines print every advanced chip on earth. No ASML, no Nvidia, no TSMC. The topic isn't a secret. It's Terafab, a SpaceX-Tesla-xAI plan for a 2nm fab in Texas. First phase $55 billion, total up to $119 billion. The timing isn't random. Days before SpaceX goes public, Musk is handing IPO investors a growth story beyond rockets: Custom silicon for orbital AI data centers. This is how you justify a $1,750,000,000,000 valuation.
0:27

ONE DAY BEFORE THE BIGGEST IPO IN HISTORY, MUSK IS PITCHING A $119 BILLION CHIP FACTORY TO THE ONLY COMPANY THAT CAN BUILD IT. 🇺🇸 This week Musk speaks at ASML's private conference, the firm whose machines print every advanced chip on earth. No ASML, no Nvidia, no TSMC. The topic isn't a secret. It's Terafab, a SpaceX-Tesla-xAI plan for a 2nm fab in Texas. First phase $55 billion, total up to $119 billion. The timing isn't random. Days before SpaceX goes public, Musk is handing IPO investors a growth story beyond rockets: Custom silicon for orbital AI data centers. This is how you justify a $1,750,000,000,000 valuation.

Merlijn The Trader

246,413 views • 1 month ago

Just like Taiwan controls the world's advanced microchips, India has some of the biggest & most sophisticated refineries on Earth Only Refineries in India can refine the Thick Venezuelan Crude Oil, that's why Trump is taking help from India to help set up a refineries in Texas for the first time in 50+ Years
0:56

Just like Taiwan controls the world's advanced microchips, India has some of the biggest & most sophisticated refineries on Earth Only Refineries in India can refine the Thick Venezuelan Crude Oil, that's why Trump is taking help from India to help set up a refineries in Texas for the first time in 50+ Years

Royal Singh 🦁

69,326 views • 14 days ago

Why wouldn’t China want more data centers built in the United States? Simple, the nation that leads in AI will lead the future, economically, technologically, and militarily. We’re already seeing it happen in real time as AI drives unprecedented productivity and margin expansion across every sector of the economy. While America debates permits, regulations, and protests over data centers, China is rapidly building power infrastructure and scaling compute capacity as fast as possible. This race is no longer theoretical. Whoever has the most compute, the best models, and the strongest infrastructure will shape the next era of global power.
1:51

Why wouldn’t China want more data centers built in the United States? Simple, the nation that leads in AI will lead the future, economically, technologically, and militarily. We’re already seeing it happen in real time as AI drives unprecedented productivity and margin expansion across every sector of the economy. While America debates permits, regulations, and protests over data centers, China is rapidly building power infrastructure and scaling compute capacity as fast as possible. This race is no longer theoretical. Whoever has the most compute, the best models, and the strongest infrastructure will shape the next era of global power.

Kevin O'Leary aka Mr. Wonderful

35,459 views • 2 months ago

On this episode of the Roundtable, the panel examined the geopolitical forces reshaping global markets, from the Iran conflict and energy security to AI infrastructure, semiconductor demand, and the growing importance of critical minerals. Special thanks to REalloys for joining the discussion and explaining how they're building a fully integrated North American rare earth supply chain to strengthen domestic manufacturing and reduce reliance on foreign sources for critical materials.
58:00

On this episode of the Roundtable, the panel examined the geopolitical forces reshaping global markets, from the Iran conflict and energy security to AI infrastructure, semiconductor demand, and the growing importance of critical minerals. Special thanks to REalloys for joining the discussion and explaining how they're building a fully integrated North American rare earth supply chain to strengthen domestic manufacturing and reduce reliance on foreign sources for critical materials.

Mario Nawfal

201,571 views • 8 days ago

WHAT IF CHINA INVADES TAIWAN + Strait of Hormuz STAYS CLOSED🛑 Nobody is connecting these dots yet Taiwan makes 90% of the world's most advanced chips. TSMC manufactures for EVERY major tech company on the planet. If those fabs go dark, this isn't a dip. This is a STRUCTURAL COLLAPSE. Stocks that get DESTROYED 👇 Semiconductors. $TSM, $NVDA, $AMD, $AAPL, $QCOM, $AVGO, $ASML. Every single one depends on TSMC to make their chips. There is NO backup. Nvidia can't make GPUs. Apple can't make iPhones. AMD can't make processors. Full stop. The AI boom DIES overnight. $MSFT, $AMZN, $GOOG, $META. Every data center buildout, every model training run, every hyperscaler capex plan depends on chips that ONLY TSMC can produce at scale. Their entire growth thesis is GONE. Consumer and shipping. $DELL, $HPQ, Sony all lose their chip supply. The Taiwan Strait carries 50% of global container shipping. $ZIM, $FDX, $UPS all get crushed by the blockade. NOW here's where it gets interesting Stocks that BENEFIT 👇 Defense. $LMT, $RTX, $NOC, $GD, $LHX, $PLTR. Spending goes VERTICAL overnight. Domestic chips. $INTC becomes the most important company in America as the ONLY Western advanced fab. $GFS, $AMAT, $LRCX, $KLAC all surge as we scramble to build domestic capacity. Safe havens. $XOM, $CVX on the oil spike. $GLD, $SLV on the flight to safety. $AA on the aluminum supply chain chaos. THE PART NOBODY IS TALKING ABOUT Taiwan doesn't just make chips for tech. They produce 35% of ALL chips globally. Cars. Medical devices. Military equipment. Appliances. A Taiwan invasion doesn't crash the stock market. It crashes the GLOBAL ECONOMY. This is not a prediction. But if you're not thinking about this risk while the Strait of Hormuz is ALREADY shut down and semiconductors are ALREADY under pressure from helium shortages, you're not paying attention.
5:56

WHAT IF CHINA INVADES TAIWAN + Strait of Hormuz STAYS CLOSED🛑 Nobody is connecting these dots yet Taiwan makes 90% of the world's most advanced chips. TSMC manufactures for EVERY major tech company on the planet. If those fabs go dark, this isn't a dip. This is a STRUCTURAL COLLAPSE. Stocks that get DESTROYED 👇 Semiconductors. $TSM, $NVDA, $AMD, $AAPL, $QCOM, $AVGO, $ASML. Every single one depends on TSMC to make their chips. There is NO backup. Nvidia can't make GPUs. Apple can't make iPhones. AMD can't make processors. Full stop. The AI boom DIES overnight. $MSFT, $AMZN, $GOOG, $META. Every data center buildout, every model training run, every hyperscaler capex plan depends on chips that ONLY TSMC can produce at scale. Their entire growth thesis is GONE. Consumer and shipping. $DELL, $HPQ, Sony all lose their chip supply. The Taiwan Strait carries 50% of global container shipping. $ZIM, $FDX, $UPS all get crushed by the blockade. NOW here's where it gets interesting Stocks that BENEFIT 👇 Defense. $LMT, $RTX, $NOC, $GD, $LHX, $PLTR. Spending goes VERTICAL overnight. Domestic chips. $INTC becomes the most important company in America as the ONLY Western advanced fab. $GFS, $AMAT, $LRCX, $KLAC all surge as we scramble to build domestic capacity. Safe havens. $XOM, $CVX on the oil spike. $GLD, $SLV on the flight to safety. $AA on the aluminum supply chain chaos. THE PART NOBODY IS TALKING ABOUT Taiwan doesn't just make chips for tech. They produce 35% of ALL chips globally. Cars. Medical devices. Military equipment. Appliances. A Taiwan invasion doesn't crash the stock market. It crashes the GLOBAL ECONOMY. This is not a prediction. But if you're not thinking about this risk while the Strait of Hormuz is ALREADY shut down and semiconductors are ALREADY under pressure from helium shortages, you're not paying attention.

JEFE TRADES 🔪

221,813 views • 4 months ago

Web3Go is working on building the data infrastructure for decentralized AI. Web3Go has three related products: @Reiki_Web3Go、 @Analytix_Web3Go and xData. You can follow the official channel Web3Go Technology to learn more. Thanks to jenniekusu for taking part in this interview. #Web3Go
1:24

Web3Go is working on building the data infrastructure for decentralized AI. Web3Go has three related products: @Reiki_Web3Go、 @Analytix_Web3Go and xData. You can follow the official channel Web3Go Technology to learn more. Thanks to jenniekusu for taking part in this interview. #Web3Go

QAmetaverse

46,290 views • 2 years ago

🇰🇷 SAMSUNG LOSES MEMORY CHIP CROWN - CAN IT CATCH THE AI WAVE? For decades, Samsung sat on the silicon throne. Now SK Hynix - once the scrappy underdog - has edged past it in memory chips, the very hardware fueling the AI boom. The timing stings: AI demand is exploding, and the lead is slipping away. Samsung still has scale, cash, and R&D muscle - but in this race, every quarter counts. Fall too far behind now, and the world’s biggest chipmaker could find itself buying tickets to the future instead of building it. Source: Bloomberg, Bloomberg
1:39

🇰🇷 SAMSUNG LOSES MEMORY CHIP CROWN - CAN IT CATCH THE AI WAVE? For decades, Samsung sat on the silicon throne. Now SK Hynix - once the scrappy underdog - has edged past it in memory chips, the very hardware fueling the AI boom. The timing stings: AI demand is exploding, and the lead is slipping away. Samsung still has scale, cash, and R&D muscle - but in this race, every quarter counts. Fall too far behind now, and the world’s biggest chipmaker could find itself buying tickets to the future instead of building it. Source: Bloomberg, Bloomberg

Mario Nawfal

100,471 views • 11 months ago