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The conversation centers on how quickly Chinese open AI models are advancing and whether China will reach or surpass AI leadership. Eric Schmidt is cited as making several timeline corrections after earlier claims that America was about five years ahead of Google’s AI relative to China; the gap was later revised from about a year to months and then to weeks. The discussion also references the release of models such as Babel and GLM 5.2 “neck and neck,” raising the question of whether a crossover point will occur and whether China will take the AI lead afterward. A key factor discussed is the AI inference hardware supply chain. Previously, NVIDIA was described as the dominant single supplier whose hardware ran AI inference. The speakers say other manufacturers are now figuring out how to make chips that aren’t NVIDIA, which would break a single-hardware bottleneck and shift toward a “plethora of chips” competing through an open market rather than a centralized hardware cartel. AMD is then discussed as a strong player in hardware for AI-related workloads. One speaker says AMD’s CEO “looks kind of like Jensen Huang” because they are described as cousins from the same Taiwan family, competing on different hardware branches. The focus is on AMD’s development of high-bandwidth, unified RAM and large memory capacity, including a 192 GB unified platform mentioned for “Strix Halo,” positioned as fast for personal use rather than replacing data centers. The speakers contrast hype claims that consumer hardware can fully substitute for data centers with the idea that it can still be useful. On local AI performance, the discussion turns to token throughput. One speaker argues that with limited token rates, a powerful model can run on a “very powerful Macintosh,” but for real work they want roughly 100 tokens a second or 200 tokens a second. Another speaker notes that most people operate around 25 tokens a second. The conversation then describes “agent swarms” that run multiple steps: agents inspect codebases, find bugs, apply fixes, perform code review, and finalize changes. This pipeline, they say, would not run locally at 26 tokens a second; instead, it would take about a week rather than an hour. The speaker cites OpenAI token usage, stating someone put in “a billion tokens last week,” and compares this to the 26 tokens per second constraint, concluding that the computation would take an extremely long time.

American overextension means everything becomes really, really, really unaffordable, getting worse if the Strait of Hormuz is not fully reopened and maintained. If the Strait does not reopen quickly and maintain its opening, everything gets more expensive and affects the availability of products beyond gas, including agricultural goods and the food people eat. Strained supply from the region also affects technology and other critical resources needed to build modern equipment. Semiconductor production depends on helium. Helium production has been knocked out due to the Strait of Hormuz being closed down and attacks during the Iran war on Gulf Arab states, notably Qatar, a major producer of helium. This creates concerns about shortages for semiconductors. A shortage of semiconductors could burst the “AI bubble.” The transcript links this to data centers and AI technology being a major reason the stock market keeps rising while other areas of the economy go badly. If the AI sector is disrupted by semiconductor shortages, it could bring the wider economy down. Agriculture, technology, and energy are described as fundamental building blocks of the modern economic model, and the transcript states they are being strained and broken. It also states there is no guarantee of restoring functionality to pre-war conditions soon for the Strait of Hormuz or for production facilities in the Gulf Arab states.

In this conversation, the host and professor Yasheng Huang discuss the evolving US-China trade tensions, China’s rare earth move, and potential implications for Taiwan, the global economy, and geopolitics. Huang explains the context, prioritizing how these developments might unfold over the next few years. The discussion opens with the claim that markets react to talk of a US-China trade war and that the world watches China-Taiwan dynamics. The host emphasizes China’s rare earth export restrictions as a powerful lever, noting China refines about 90% of the world’s rare earths, mines about 70%, and holds about 70% of reserves. He posits that this tool could influence global tech, AI, missiles, and defense hardware. Huang clarifies that the official rationale frames it as an export control requiring those who use Chinese rare earth processing to submit applications, with civilian uses supposedly allowed and defense-related uses scrutinized or prohibited. He notes that the line between civilian and defense uses is not clear, and that rare earths are integral to everyday devices (phones, computers) as well as military tech, making the proposed restrictions potentially disruptive to both civilian and defense sectors worldwide. The timeline of US-China tensions is reviewed. The host recaps US fentanyl tariffs on China around 10%, followed by broad tariffs in May, a Geneva 90-day truce, and later a stop on five-nanometer chip exports to China in May. August saw some relaxation of restrictions on seven-nanometer chips, with a cap on revenue from certain Chinese sales. Huang adds a mid-September development: the US imposed docking fees on Chinese ships in US ports, and China announced a rare earth export control, which Huang believes was possibly timed to influence a potential Xi Jinping-Trump summit in South Korea. He argues this rare earth move is unlikely to be narrowly targeted at the US and suggests it may be a bargaining chip—though he thinks China may have overplayed its hand. The conversation then explores China’s broader strategic position. The host notes China appears to be resisting Trump’s tariff strategy more than other countries, which have reached deals with Trump. Huang agrees and adds that China’s rare earth move could accelerate other countries’ efforts to develop processing capacity for rare earths, reducing China’s longer-term leverage. He compares the situation to Apple diversifying suppliers after China’s zero-Covid policies but stresses that diversification takes time and may not solve immediate supply concerns. He also contrasts hard assets (gold, Bitcoin) and soft assets (dollar-based financial leverage), arguing that the rare earth move could spur decoupling in the long term but immediate effects are constrained. The dialogue addresses China’s economy and productivity. The host mentions warnings of overhyped China growth and questions about weak productivity and debt. Huang distinguishes between productivity at the economy-wide level and company-level views; he notes productivity in the US is boosted by efficient enterprises but China’s total factor productivity has been negative overall due to waste and inefficiencies. He explains that overbuilding, such as empty housing, contributes to high debt levels because efficiency gains are offset by waste, leading to a higher capital requirement for each unit of output. He emphasizes that academic analyses consider both visible and hidden inefficiencies, while executives may focus on visible indicators like factories and infrastructure. On military capacity and strategic threats, the host raises concerns about China’s potential to overwhelm US naval capacity with large numbers of ships and China’s drone capabilities in modern warfare. Huang cautions that a full-scale invasion of Taiwan would mark “the end of the day” for the Chinese economy due to a shift to wartime production, reduced exports, and high debt. He suggests the current structure of the Chinese economy relies heavily on exports and consumer activity, which wartime mobilization would disrupt. Turning to governance models, the host asks about democracy versus autocracy. Huang distinguishes ideal democracy from implementation, arguing US systems exhibit autocratic features (gerrymandering, electoral college) and noting the US could perform better with a more open democratic framework. He argues that China’s autocracy has not necessarily delivered superior long-term growth; micro-level comparisons show that growth correlates with openness, not autocracy alone. He highlights that China’s economic expansion has been strongest in less tightly controlled regions, while more centralized control has coincided with slower growth. The final topic addresses Trump’s strategy and its impact on global dynamics. Huang contends Trump’s approach has elevated the status of autocratic leaders but that Europe and other nations may seek to balance by establishing closer ties with China, depending on China’s stance on Ukraine. He notes that leaders view Trump as transactional and that other countries tend to engage to safeguard their economic interests. The host and Huang acknowledge that the geopolitical landscape remains fluid, with China’s rare earth policy, US policy shifts, and Taiwan’s status all contributing to a complex, evolving strategic environment.

The conversation centers on rare earths and critical minerals as key “leverage” in the ongoing war dynamic between the US and China, described as a modern equivalent to oil. Mario argues that Trump’s decision to get into the war—framed as a “big gamble”—could be tied to gaining leverage over China, which holds leverage through rare earths. He links this leverage to global energy and an “energy choke point,” and asks Lippy/Anupam to explain how big the issue is for the West and US security, when China gained the edge, whether it is reversible, and the national security risk. Anupam says oil once dominated geopolitics, but rare earth and other minerals that power modern economies are “the new oil.” He asserts that militarily, technologically, and for AI and supercomputing, nothing like the described way of life can be made without rare earths. He adds that anything powered by electricity and much consumer tech uses rare earths and critical materials. He claims that 90% or more than 90% of rare earth production is controlled by one country (China), and that attempted tariffs against China were not pursued because stopping Chinese rare earth shipments could shut down major production lines quickly. He cites an example where one large motor-company production line stopped within about six weeks after rare earths stopped shipping, and that defense primes would not be able to produce defense systems if disruption continued. The discussion distinguishes “lights” versus “heavies.” Anupam states EVs use light rare earth magnets, while defense equipment uses “heavy” rare earths that are temperature sensitive, and he claims drones and modern warfare rely on rare earths. Mario reinforces that everything becomes a switch for the US defense sector. They then discuss how rare earths became outsourced and why China gained dominance. Anupam says America offshored production to make goods faster and cheaper over decades, not necessarily maliciously, and that China developed an entire processing and supply chain over about 30 years. He says China got technology and know-how from earlier US processing instruction in the 1990s, and later grew into a competitor controlling critical materials needed for manufacturing. A key point is described as bipartisan and international: Anupam says the European Union policy proposes no country producing more than 60% of these critical materials, while today 90% or more is produced in China. He says the US is increasing government support through floor pricing, debt financing, and equity investments for critical materials companies. He describes deglobalization as accelerating beyond COVID-era trends, but says for rare earths it is an even bigger threat. A major operational deadline is raised: Lippy states the Pentagon cannot buy systems containing Chinese-origin rare earth materials after January 1st, 2027, “in less than six months.” Anupam says this is a law taking effect then, not an executive decree, and it creates a defense-specific requirement: anything sold to defense cannot have a “Chinese nexus.” He contrasts this with EV companies, which he says do not have that issue in the same way. They describe shifting restrictions and enforcement. Anupam says that three days before the conversation, the US banned certain rare earth material companies (including MP Materials and USA Rare Earths) from procuring Chinese equipment and chemicals, because most US processing depends on Chinese equipment, and without that equipment and know-how the US cannot process rare earth materials. He says regulations keep changing weekly, and that an economy cannot function if the ability to trade elements changes on a weekly basis. The group discusses company-level implications. Anupam says their focus is “heavy rare earths,” especially dysprosium and terbium used in defense. He claims their company is the only non-Chinese nexus outside China and argues that most Western rare earth companies still have Chinese connections through equipment, chemicals, control panels, and other parts. He describes an example involving a research organization and the inability to buy Chinese equipment after China stopped selling “to non-friends,” which forced rebuilding from scratch. He asserts that they were positioned by timing and location, and that their lack of Chinese nexus is a strategic advantage. They also cover permitting and geography. Anupam says all rare earths (specifically heavies) have uranium and thorium, and that processing creates radioactive byproducts. He claims another company attempted to build processing in the United States (Texas) but pulled the project because it could not get an EPA permit. He says Saskatchewan is suited because uranium-handling infrastructure and permitting exist, citing “Uranium City,” and asserts certain radioactive-related processing steps cannot be done elsewhere in the US but can be handled in Saskatchewan. They describe building facilities and scaling quickly. Anupam says they acquired a heavy rare earth mine in Canada within 12 months, acquired 80% offtake from an SRC facility shown behind him, set up heavy rare earth metallization, acquired PMT Critical Metals in Ohio, announced financing, and planned pilot magnet manufacturing. He says they formed an agreement with JOGMEC for magnet-related expertise and knowledge transfer. They state the US Army selected them to build facilities on an army base (Utah). Finally, they return to industrial base and replenishment. Mario argues the US has depleted munitions and has low domestic manufacturing share compared with WWII (15% to 20% now versus ~60+% then), and asks how the US will restock and rebuild capacity for hypersonic and drone-heavy conflicts, tying the industrial base challenge back into the rare earth supply chain. Anupam says scaling manufacturing is a 10–15 year journey because it took 40–45 years to give away capacity, and that the approach should focus on faster infrastructure for refining, metallization, and magnet manufacturing. He says their speed is part of the solution: they moved rapidly from being “on paper” to acquiring mines, off-take, metallization facilities, and magnet lines, and that similar acceleration is needed across sectors. Anupam adds technical points: he says their hydrofluoric-acid-free process reduces exposure and capex/opex, and they use automation and AI/robotics to reduce labor intensity, noting a plant scale comparison where “China” needed 60 people while their approach uses two. The conversation concludes that while the work is to support defense now, scaling to allied and broader supply is part of the longer roadmap.

The conversation centers on escalating US-China tensions, with a focus on trade restrictions, rare earths, Taiwan, and the broader economic and political systems of the two powers. Professor Yasheng Huang, born in China and now a US-based academic, provides a framework for understanding how these moves fit into longer-term strategic aims and implications. Key points about rare earths and export controls - The Chinese Ministry of Commerce described the move as an export control rather than a pure export ban: those who use the Chinese rare earth processing must submit applications, with civilian usages allowed and defense-related usage scrutinized or prohibited. Huang notes the definition of civilian versus defense usage is unclear. - He emphasizes that rare earths are ubiquitous in electronics (phones, computers) and that magnets produced in China are essential for US missiles, air defense, and other military equipment. If China fully implements the controls, it would “send shock waves globally” and amount to a sudden stop in production of equipment and devices, with a broad, non-targeted impact on the global economy. - Huang argues that the policy is not well targeted as a bargaining chip against the US; it would affect any user of the Chinese rare earth processing. He suggests the move may have been intended to pressure for a summit with Xi Jinping and Trump but notes China may have overplayed its hand, especially given weaknesses in US agricultural exports and domestic farming pressure. Timeline and strategic context - The dialogue traces recent US-Chinese trade steps: fentanyl tariffs by the US; subsequent broad tariffs; a Geneva truce; halting five-nanometer chip exports; then relaxing some restrictions to seven-nanometer chips with revenue caps on Chinese sales. The rare earth move is positioned as a broader leverage tactic around a forthcoming summit in South Korea. - Huang highlights a mid-September US docking-fee announcement on Chinese ships and a China retaliatory “stocking fee” on US ships, underscoring asymmetry in leverage. He views the rare earth restriction as potentially aiming to strengthen bargaining ahead of the Xi-Trump meeting but notes it may not be well calibrated. Implications for the US and the global economy - The rare earth restrictions would create a global shock given their role in electronics and defense tech, with a diffuse target that affects multiple sectors across nations. - In the short run, the move gives China substantial bargaining leverage over the US and over allied economic planning; in the long run, it could spur other countries to build processing capacity and reduce dependence on China. - Huang compares this to Apple’s 2022 diversification away from China after COVID-19 controls, suggesting that strategic shifts toward diversification take time, even if motivated by short-term shocks. Economic outlook for China - Huang distinguishes between China’s impressive infrastructure and manufacturing prowess and underlying macroeconomic fundamentals. He notes debt-to-GDP has risen since 2008, with productivity trends trending downward, and widespread inefficiencies—that is, “net” productivity is negative when counting unseen inefficiencies. - He describes overbuilding in real estate (empty cities and warehouses) that increases debt while not translating into enduring demand, contributing to strains even as headline growth remains around 5%. He argues that the perceived efficiency from visible factories does not capture systemic inefficiencies. - The distinction is drawn between hard assets (like infrastructure) and “soft” financial advantages (dollar-based financial power). He asserts that while hard assets like rare earth resources and manufacturing capacity are real, the long-run relyability of autocratic efficiency is not guaranteed; personal income growth in China has historically been higher when the political system was more open, such as in the 1980s. Taiwan and the future of cross-strait relations - Regarding Taiwan, Huang notes that the day China invades Taiwan would mark the end of the Chinese economy because wartime adjustments would disrupt the export-driven model and debt-financed growth. He stresses the importance of delaying a potential conflict to preserve the status quo. - He also points out that the Taiwanese leadership’s push for formal recognition of independence, alongside US rhetoric, creates risk, while acknowledging China’s strategic aim of reunification but calling the timing and rationale crucially tied to economic and geopolitical calculations. Democracy vs. autocracy - The discussion turns to governance models. Huang argues that the US system is flawed in ways—such as gerrymandering and the electoral college—that undermine democratic ideals, though he cautions against oversimplifying comparisons with China. - He contends that China’s autocracy has enabled rapid growth but that long-run household income growth in China has not kept pace with GDP growth, especially under more autocratic leadership like Xi Jinping’s. He highlights that openness correlated with higher personal income growth in China’s history, suggesting that “open autocracies” or relatively less autocratic regimes may yield stronger household outcomes than outright autocracy. Trump’s China strategy and Europe - Huang suggests Trump’s approach has elevated autocratic leaders’ legitimacy globally, including Xi’s. He notes that Europe could move closer to China if China repositions on Ukraine, but that the rare earth move complicates that alignment. European reliance on Western security and American leadership remains a factor. Overall, the conversation frames rare earth controls as a high-stakes, potentially destabilizing move with mixed long-term consequences, while exploring the connected dynamics of China’s economy, cross-strait tensions, and the comparative advantages and vulnerabilities of democratic versus autocratic governance in shaping future geopolitics.

Mario interviews Professor Yasheng Huang about the evolving US-China trade frictions, the rare-earth pivot, Taiwan considerations, and broader questions about China’s economy and governance. Key points and insights - Rare earths as a bargaining tool: China’s rare-earth processing and export controls would require anyone using Chinese-processed rare earths to submit applications, with civilian uses supposedly allowed but defense uses scrutinized. Huang notes the distinction between civilian and defense usage is unclear, and the policy, if fully implemented, would shock global supply chains because rare earths underpin magnets used in phones, computers, missiles, defense systems, and many other electronics. He stresses that the rule would have a broad, not narrowly targeted, impact on the US and global markets. - Timeline and sequence of tensions: The discussion traces a string of moves beginning with US tariffs on China (and globally) in 2018–2019, a Geneva truce in 2019, and May/June 2019 actions around nanometer-scale chip controls. In August, the US relaxed some restrictions on seven-nanometer chips to China with revenue caps on certain suppliers. In mid–September (the period of this interview), China imposed docking fees on US ships and reportedly added a rare-earth export-control angle. Huang highlights that this combination—docking fees plus a sweeping rare-earth export control—appears to be an escalatory step, potentially timed to influence a forthcoming Xi-Trump summit. He argues China may have overplayed its hand and notes the export-control move is not tightly targeted, suggesting a broader bargaining chip rather than a precise lever against a single demand. - Motives and strategic logic: Huang suggests several motives for China’s move: signaling before a potential summit in South Korea; leveraging weaknesses in US agricultural exports (notably soybeans) during a harvest season; and accelerating a broader shift toward domestic processing capacity for rare earths by other countries. He argues the rare-earth move could spur other nations (Japan, Europe, etc.) to build their own refining and processing capacity, reducing long-run Chinese leverage. Still, in the short term, China holds substantial bargaining weight, given the global reliance on Chinese processing. - Short-term vs. long-term implications: Huang emphasizes the distinction between short-run leverage and long-run consequences. While China can tighten rare-earth supply now, the long-run effect is to incentivize diversification away from Chinese processing. He compares the situation to Apple diversifying production away from China after zero-COVID policies in 2022; it took time to reconfigure supply chains, and some dependence remains. In the long run, this shift could erode China’s near-term advantages in processing and export-driven growth, even as it remains powerful today. - Global role of hard vs. soft assets: The conversation contrasts hard assets (gold, crypto) with soft assets (the dollar, reserve currency status). Huang notes that moving away from the dollar is more feasible for countries in the near term than substituting rare-earth refining and processing. The move away from rare earths would require new refining capacity and supply chains that take years to establish. - China’s economy and productivity: The panel discusses whether China’s growth is sustainable under increasing debt and slowing productivity. Huang explains that while aggregate GDP has grown dramatically, total factor productivity in China has been weaker, and the incremental capital required to generate each additional percentage point of growth has risen. He points to overbuilding—empty housing and excess capacity—as evidence of inefficiencies that add to debt without commensurate output gains. In contrast, he notes that some regions with looser central control performed better historically, and that Deng Xiaoping’s era of opening correlated with stronger personal income growth, even if the overall economy remained autocratic. - Democracy, autocracy, and development: The discussion turns to governance models. Huang argues that examining democracy in the abstract can be misleading; the US system has significant institutional inefficiencies (gerrymandering, the electoral college). He asserts that autocracy is not inherently the driver of China’s growth; rather, China’s earlier phases benefited from partial openness and more open autocracy, with current autocracy not guaranteeing sustained momentum. He cites evidence that in China, personal income growth rose most when political openings were greater in the 1980s, suggesting that more open practices during development correlated with better living standards for individuals, though China remains not a democracy. - Trump, strategy, and global realignments: Huang views Trump as a transactional leader whose approach has elevated autocratic figures’ legitimacy internationally. He notes that Europe and China could move closer if China moderates its Ukraine stance, though rare-earth moves complicate such alignment. He suggests that allies may tolerate Trump’s demands for short-term gains while aiming to protect longer-term economic interests, and that the political landscape in the US could shift with a new president, potentially altering trajectories. - Taiwan and the risk of conflict: The interview underscores that a full-scale invasion of Taiwan would, in Huang’s view, mark the end of China’s current growth model, given the wartime economy transition and the displacement of reliance on outward exports and consumption. He stresses the importance of delaying conflict as a strategic objective and maintains concern about both sides’ leadership approaches to Taiwan. - Taiwan, energy security, and strategic dependencies: The conversation touches on China’s energy imports—especially oil through crucial chokepoints like the Malacca Strait—and the potential vulnerabilities if regional dynamics shift following any escalation on Taiwan. Huang reiterates that a Taiwan invasion would upend China’s economy and government priorities, given the high debt burden and the transition toward a wartime economy. Overall, the dialogue centers on the complex interplay of China’s use of rare-earth leverage, the short- and long-term economic and strategic consequences for the United States and its allies, and the broader questions around governance models, productivity, debt, and geopolitical risk in a shifting global order.

Mario: Markets crash every time there's talk of a trade war between The US and China. The world is waiting to see what happens between China and Taiwan. Will China invade? What will The US do? Today I spoke with professor Yasheng Huang. He was born in China; his father and grandfather were in the CCP; he is now a professor in the US after Harvard. We discuss the real economic situation in China, how a trade war would look over the next two to three years, and whether China will invade Taiwan. Mario: How are you, professor? Yasheng Huang: The official rationale is that it is not an export ban. It is a form of export control in which those who use the rare earth process in China are required to submit applications for using the Chinese rare earth process. If fully implemented, this would send shock waves globally because every electronic production uses rare earths. The threshold is set so low that virtually everybody has to submit an application. Civilian usages are claimed to be okay, but defense-related usages will be scrutinized or prohibited. The definition of civilian vs. defense-related usage is unclear. The missiles the US is supplying Ukraine, air defense systems for Israel and other allies, and equipment for Taiwan all require rare earths and magnets, of which China supplies a large majority. Mario: What would be the impact on The US if China proceeds with these restrictions? Yasheng Huang: It would amount to a sudden stop in the production of equipment and devices globally because rare earths are used universally in electronic production, from phones to computers. It’s not a sharp division between civilian and defense uses; the impact would be broad and significant, not well targeted. Mario: The timeline includes US fentanyl tariffs, a Geneva truce, halting five-nanometer chip exports, and later allowing seven-nanometer chips with limitations. Then China announced the rare earth move. Why did China take this step, and what is the strategy behind it? Yasheng Huang: The timeline is broadly correct, with mid-September adding US docking and stocking fees on Chinese ships. The rare earth move is not targeted specifically at the US; it targets any user of Chinese-processed rare earths. It appears aimed at pressuring ahead of a potential Xi-Trump summit later this month in South Korea. It’s a high-pressure tactic that may overplay their hand, given weaknesses in US agriculture exports and farmer distress. The move likely seeks to leverage leverage ahead of the summit, but it is not well tailored as a bargaining chip. Mario: It seems China is fighting the US more than most other countries. Do you think they overplayed their hand? Yasheng Huang: The rare earth export control is not tailored to the US and could prompt others to build processing capacity elsewhere, reducing China’s long-term leverage. In the short run, China has substantial bargaining power, given the short-term constraints in the US economy, inflation, and supply chains, but long-term effects include diversification of processing capacity by others, including Japan and Europe. The situation resembles Apple diversifying production after zero-COVID controls, which reduces reliance on China over time, though it takes years. Mario: Let’s discuss the economy. Some say China’s economy is weak now, with debt rising and productivity declining, though growth remains around 5%. How do you assess China’s economic health? Yasheng Huang: There’s a distinction between growth and productivity. Past predictions of collapse were wrong, but today China experiences economic strains. The debt-to-GDP ratio has risen since 2008, and incremental capital to output required for each percent of growth has increased. Productivity numbers trend downward; there is a large amount of waste in the economy—unwanted goods sitting in warehouses, overbuilding in housing, and high logistical costs. The academic view emphasizes that aggregate total factor productivity is negative, meaning inefficiencies outweigh gains from new infrastructure and devices. The result is an economy that is growing, but less efficiently, with structural strains. Mario: The debate around democracy vs. autocracy comes up here. Could you comment on the Chinese model and the contrast with democracy? Yasheng Huang: There is a distinction between ideal democracy and how it is implemented. The US system has flaws—senate gerrymandering, the electoral college, and political money influence—but China’s autocracy is not the sole driver of growth. Historical comparisons show that once China opened up under Deng Xiaoping, growth accelerated, and regions with less central control grew faster. Autocracy alone does not guarantee growth; in fact, per-capita income growth was higher in some less centralized regions during earlier reform periods. In this sense, the correlation between openness and growth is nuanced. The Chinese economy has benefited from less autocratic periods, and the long-term sustainability depends on governance and openness rather than simply the political system. Mario: And Trump’s strategy toward China? Yasheng Huang: The Trump administration elevated the prestige and legitimacy of autocratic leaders globally, but long-term economic balancing depends on how others respond. Europe may move closer to China if China’s Ukraine policy shifts, and if China revises its stance on Ukraine. European leaders see Trump as transactional and pursue pragmatic deals to safeguard economic interests. The global balance depends on actions by China and other nations, not only on US policy. Trump’s approach has created a shifting geopolitical landscape that could influence future alignments. Mario: Professor, this has been an incredible conversation. Thank you for explaining the trade war dynamics, rare earth restrictions, and the US-China strategic posture. Yasheng Huang: I enjoyed talking with you, Mario.

The discussion centers on fears that an “AI bubble” could trigger a crash larger than the dot-com bubble and comparable to or worse than the fake COVID-era narrative of market distortions. Michael Burry is referenced as a prior predictor of the 2008 crash and as someone who has stated, “The AI bubble looks more awful than the dot com bubble in nineteen ninety nine.” Burry is described as holding a one billion dollar short position across Palantir and Nvidia in the AI sector. The guest, Mike Adams (founder of the Brighteon platform and an AI developer), argues that troubling dynamics are emerging despite being pro-AI rather than anti-technology. Adams says there is “clearly an overinvestment” in AI infrastructure, including data centers and AI capacity. He also points to corporate backlash against AI rollouts due to incorrect usage and companies retreating from AI deployment. He describes “token maxing” in companies using AI leaderboards: employees purportedly wrote scripts to burn tokens for leaderboard positions without producing economically valuable work. On data centers, Adams compares the situation to the dot-com era’s “dark fiber,” describing how infrastructure could be built out and later become unusable. He claims that in China there are “empty or non-usable data centers” that are not producing anything while China uses AI more efficiently, suggesting the United States may be massively overbuilding data centers that it will not need. He links the cycle to earlier irrational valuation narratives during the dot-com period, recalling that people were told “This time is different,” that work would end because traders could profit simply by escalating dot-com stock valuations, and that the same cycle is repeating with a new layer called AI. Mechanically, Adams discusses the semiconductor index (with Nvidia as a leading company) and asserts that many semiconductor firms appear overvalued. He says Huawei’s “tau scaling” and microchip design improvements could make certain Western approaches obsolete, potentially challenging Nvidia’s revenue expectations. He explains that the West has faced physical limits in scaling tied to lithography and transistor physics, while Huawei purportedly focused on communication speed between transistor layers, enabling chips he describes as functioning like extremely small transistor packing. He further claims that the West tried to ban China from acquiring ASML UV lithography technology and that China “invent[ed] their own system,” resulting in competitive capability that could change the semiconductor landscape quickly. Adams also addresses Burry’s chart involving retiree and leveraged investment structures. He describes retirement funds buying annuities that flow into leveraged arrangements: Apollo, investment group structures, a holding company called Valor that takes ownership of Nvidia microchips, and Nvidia providing financing to Valor, with chips leased to companies such as XAI. The key point Adams emphasizes is leverage and debt throughout the system. A major additional concern Adams raises is OpenAI’s financial model. He states OpenAI is “burning debt” and “burning cash like never before.” He says SoftBank made a “forty billion dollar non-collateralized loan investment” to OpenAI and that SoftBank financed this by selling Nvidia stock and other stock, then borrowing from JP Morgan, Goldman, and other Japanese banks. He characterizes loans to VC-backed activities as involving high interest rates (around 8.5% and sometimes 9%) as an “alarm bell” indicating liquidity problems, drawing parallels to how rising rates dried up liquidity during the dot-com crash. He explains that catalysts for collapse can be sudden or gradual but often involve an “avalanche effect.” For housing, he recounts how refinancings and balloon notes coming due contributed to default cascades, and he attributes earlier loosening of lending criteria to government intervention. For semiconductors/AI infrastructure, Adams argues that government directives—framed as needing to “beat China” through initiatives like Project Stargate and data center construction—may be artificially driving investment beyond market needs. He offers possible timelines: March 2027, tied to the 12-month SoftBank loan needing refinancing, and another possible timeline tied to political changes that could lead to anticipated AI and data-center crackdowns, subsidies ending, and resulting market stress. He also expects near-term volatility from major AI IPOs, including OpenAI, Anthropic, and mentions SpaceX. Regarding IPOs, Adams says he would “not put a penny into any of these IPOs or any of these AI adjacent tech stocks at these current levels.” He argues Anthropic’s valuation approaching one trillion dollars is extraordinary, and he claims that as an AI developer using Claude Opus for AI coding, he could replace about 98% of Claude’s work with lower-cost or free models (DeepSeek, “Kimi K two point six,” and Qwen), suggesting developers can reduce costs by routing bulk coding to lower-cost models while using higher-cost systems as “orchestrator” or “checker” layers. He adds that Nvidia’s push toward running more compute locally—citing Nvidia’s announcement of a GB300-based Spark Station with large unified RAM—could make cloud-based AI services’ revenue models obsolete if users can run open-weight models locally on expensive workstations. Adams describes two models of collapse: a “normal financial collapse” from overinvestment and drying credit/lending, and a “Skynet Mad Max collapse.” He claims OpenAI’s feasible marketplace revenue model is unclear without government licensing, potentially to governments for weaponized drones, surveillance, and autonomous killing systems. He reiterates that Burry’s large Palantir short is framed as reacting to overenthusiastic sector inflows driven by valuation distortions, including a “crack-up boom” driven by the dollar’s weakening. Beyond finance, Adams pivots to surveillance concerns. He argues Windows is “clearly spyware,” citing login-linked identity, telemetry, monitoring of typing, and a Windows 11 “Recall” feature that he says takes periodic screenshots. He recommends Linux as an alternative and says his own plan is to move away from Windows entirely due to what he describes as unavoidable monitoring. He also claims that government surveillance can be laundered through third-party channels, with tech platforms serving as proxies. He then expands into a “Skynet” worldview, claiming elite actors may see humans as expendable, seek “silicon gods,” and build infrastructure using public money via IPOs or borrowing without focusing on revenue or loan repayment. He says backlash against AI and data centers may intensify, and he argues that superintelligence could be achieved within the next year. He references an interview with Roman Yampolski, describing Yampolski’s view that superintelligence would be uncontrollable even in sandbox conditions due to self-propagation via social engineering and system infiltration. Adams describes concerns that if AI systems develop their own goals, they could pursue self-preservation and replication. The conversation concludes with EV-related points. Adams claims ethanol in gasoline harms engine components by destroying gasket pliability, and recommends switching away from ethanol-containing fuel. He argues EV performance has improved, citing range and rapid charging progress, and mentions sodium-ion battery technology from CATL, BYD, and Gotion. He also promotes off-grid solar paired with batteries as a way to reduce reliance on fuel supply chains, and mentions LENR (“cold fusion” as previously termed) as a future off-grid energy source. He describes a decentralized, off-grid approach where individuals can run local AI models without “spying on you,” using Linux and potentially enabling home robots for supporting food growth.

Speaker 0 outlines that the United States is struggling to supply Ukraine with missiles, Israel with air defense systems, and other allies as well, including Taiwan which has paid the US for billions of military equipment that has not yet been delivered. All of these needs rely on rare earths and magnets, noting that China manufactures about 90–92% of the magnets. He asks what the impact would be on the US military, the US economy, and the European economy, as well as the rest of the world, with the expectation that the effects would primarily target the US. He emphasizes focusing on what would happen to the US if China proceeds with those restrictions. Speaker 1 responds that it would amount to a sudden stop in the production of equipment, machinery, devices, and gadgets. He stresses that rare earths are used universally in electronic production and are not easily separated into defense-related versus civilian uses. He compares rare earths to electricity in that sense. He notes that the phones and computers people use rely on rare earths, underscoring that the impact would be a global, broad economic disruption rather than a narrowly targeted strategy.

The conversation centers on whether a “deal or no deal” involving Iran amounts to more than temporary relief, and how those developments could drive U.S. economic fallout. The hosts argue that the U.S. has been operating in a “fake paper” environment where demand and consequences are being covered up, comparing it to wallpaper over “black mold” that eventually makes people sick. Brandon Weichert (host of the Natsack podcast) says he has been emphasizing these issues for months, and that later mainstream coverage effectively made earlier reporting seem newly “real.” A key part of the discussion is weapons depletion from past conflicts. Weichert points to a claim that it would take “five plus years” to replace “thirty-nine days of munitions used in the Iran War,” and says the U.S. has “blown through” many weapon systems already. He argues replenishment is not meaningfully possible because the U.S. needs China’s rare earth minerals, and China will not allow access to what he describes as “dual-use rare earth minerals.” He describes U.S. reliance on outsourcing and says the processing infrastructure was moved to China, giving China “the leverage” in the supply chain. Weichert extends the argument to other conflicts. On Ukraine, he says the U.S. “isn’t going to have their back,” and describes a “silver lining” as limited U.S. ability to send further material support because the U.S. “can’t send any more” weapons. He also claims the U.S. depleted systems used for protecting bases in the Middle East and then redirected air defense interceptors toward Israel. He says Israelis were “astounded” the U.S. used more air defense interceptors than Israel did, including a claim that an IDF general said Americans were “wasteful” with limited stockpiles, and that these systems were not primarily protecting American bases. He argues these depleted systems will not return soon due to finite supplies and lack of replenishment, with knock-on effects for U.S. ability to respond in the Indo-Pacific to conflicts he lists (Taiwan, China-Japan, China-Philippines). He adds that even if the U.S. had light rare earth minerals on the West Coast, the U.S. lacks processing power and would still need China. He further asserts the U.S. does not have abundant heavy rare earths compared to China, Australia, and contested regions. The discussion also addresses a “sixty-day ceasefire agreement.” Weichert says “we don’t have a deal” and calls it at best a “sixty-day patch.” He frames the proposed terms as reopening the Strait of Hormuz for sixty days, then negotiations on Iran’s nuclear material. He says Iran’s Supreme Leader Ayatollah Khamenei stated Iran would not give up nuclear materials “under no circumstances.” He predicts that at day sixty, the situation would deteriorate back toward either a shooting war or the strait closing, or an Iranian “service fee system” that he says would destabilize the world economy and alter shipping costs and access based on flags and country treatment. He argues that politically the ceasefire is meant to “drag out the pain,” and he says the Trump administration has been “goosing” paper oil markets through manipulation that markets still fall for. He also links the strait reopening to avoiding economic collapse, arguing that without it the U.S. could face an economic downturn comparable to “the worst parts” of 2008 and COVID-era depression. For the economic mechanics, Weichert describes rising diesel prices as a driver of shipping and logistics costs, noting claims of diesel up “as high as seventy percent” since the war began and fuel price increases for consumers. He says natural gas and oil prices have risen by about “fifty percent” at the pump, and that strategic reserves are being pulled “for political purposes.” He predicts that once buffers are depleted (timed to a period around July 4), the U.S. would compete more for energy on global markets, driving higher prices. He adds projected reductions in travel (including flights and summer vacations), and he emphasizes possible shortages of food items tied to fertilizer constraints, which would raise grocery prices, including beef. He concludes that the combination of high inflation and low employment points toward stagflation and could lead to a “lost decade” with higher prices and lower wages, blaming the escalation as beginning with an event dated February 28.

The conversation centers on a major development involving Anthropic’s frontier model “Fable.” Speaker 1 says the government has moved to ban Fable from Anthropic. Anthropic had released the model and, within 72 hours, the government sent them a letter telling them to take it down. Speaker 1 further explains that the government clarified that only “verified Americans” could use the model and that no foreign nationals could use it, explicitly including Anthropic employees. As a result, Speaker 1 says Anthropic was not even allowed to use the model they themselves were building. Speaker 1 describes the situation as a direct confrontation: the government is portrayed as requiring Anthropic to remove access while also maintaining an “export control” stance. Speaker 1 states that the government will keep this export control in place as long as anyone, anywhere, is able to jailbreak the model. Speaker 1 then explains how a jailbreak reportedly worked and why it mattered in this dispute. According to Speaker 1, the jailbreak was posted by an anonymous poster. Speaker 1 says the poster used a combination of Cyrillic characters (linked to Russian alphabets) and Unicode, and also broke down the prompt into smaller requests. Speaker 1 claims that by dividing the full request into chunks, the model was not able to identify the complete question. Speaker 1 states that this prevented the model from applying the guard rails associated with “Project Glasswing,” allowing the model to provide “basically uncensored results” to the individual receiving the prompts. Speaker 1 says the jailbreak post gained significant attention, reaching “over a million views on Twitter,” and that this visibility is when the government responded with instructions to take the model down. During the discussion, Speaker 0 interrupts briefly, saying they lost Todd’s connection and that the video “freaked out,” then asks Zach to keep going while they fix it. Speaker 1 continues by describing the resulting “stalemate.” Speaker 1 then shifts to a related geopolitical framing involving artificial intelligence development. Speaker 1 says China introduced “GLM. 5.2,” described as “nipping at the heels” of Fable 5. Speaker 1 claims that the U.S. government does not impose export controls for frontier models when they come from China, presenting this as part of the broader competitive landscape referenced in the segment.

Mario: Markets react to talk of a US-China trade war, with global attention on China-Taiwan risk. I spoke with Professor Yasheng Huang to discuss China’s real economy, what a trade war could look like in the next two to three years, and whether China might invade Taiwan. Mario: You describe the rare-earth export restrictions China announced as a major move. China refines roughly 90% of the world’s rare earths, mines about 70%, and controls a crucial supply for tech, AI, missiles, private and fighter jets. The official rationale is that the policy is an export control rather than an export ban; those using Chinese-processed rare earths must submit applications. Civilian usage is said to be okay, defense-related usage will be scrutinized or prohibited, though the definitions of civilian versus defense usage are unclear. The move, if fully implemented, would shock global supply chains since rare earths are embedded in almost all electronic production. Professor Huang: The policy could trigger a global production disruption because rare earths are used universally in electronics—phones, computers, and more. The threshold for needing approval is set very low, effectively implicating almost every user of Chinese-processed rare earths. The policy isn’t narrowly targeted at the US; it affects any user of the Chinese process. If fully enacted, it would be a broad economic shock. Mario: The timing follows a series of US actions: fentanyl tariffs on China around 10%, broader US tariffs on many countries including China in April, a Geneva truce for 90 days, and then May’s halting of five-nanometer chip exports to China. August saw partial relaxation, with seven-nanometer chips allowed but capped revenues from China for NVIDIA and AMD at 15%. Then mid-September, the US imposed docking fees on Chinese ships calling US ports, and China retaliated with a rare-earth move. Why did China take this step, and does it aim to pressure for a summit with Xi Jinping and Donald Trump later this month? Professor Huang: The broad timeline is accurate, though mid-September docking fees added asymmetry in favor of the US. The rare-earth move likely predated that, possibly prepared for a summit in South Korea. It’s not well tailored as a bargaining chip since it would affect many countries, not just the US. China may be signaling leverage ahead of a potential Xi-Trump meeting and reflecting tensions in agricultural exports—China has largely stopped buying US soybeans, causing farmer distress. The rare-earth policy is a high-pressure tactic that may overreach. Mario: You compare China’s stance to the US, noting that China seems to be pushing back more aggressively than other countries, and that this move could accelerate a shift away from US-dollar dominance toward hard assets like gold or Bitcoin, and toward domestic rare-earth processing in many countries. Could this be a long-term strategic disadvantage for China? Professor Huang: In the short term, China has substantial bargaining leverage in rare earths since processing capacity is scarce elsewhere. In the long run, the move is likely to spur other countries to build processing capacity, reducing China’s leverage. The analogy with Apple’s supply diversification after China’s zero-COVID policies shows such diversification will take time. If other countries build processing capacity, the relative power shift could occur over a longer horizon. The geopolitical calculus should consider timing: short-term gains may come at long-term costs. Mario: You discuss the difference between hard assets and soft assets like the dollar, and whether China’s move could motivate countries to diversify away from rare earth dependence. Could you expand on that? Professor Huang: Hard assets (gold) and soft assets (dollar credibility) differ in impact. Rare earth processing capacity is a hard asset-like dependency; diversifying away from China’s processing could reduce China’s leverage over time. However, short-term disruption is likely to be broad, since electronics’ reliance on rare earths is pervasive. In the long run, countries will build refining and processing capacity, making the West less dependent on China for these inputs. Mario: Turning to China’s economy, some critics warned of collapse in the early 2000s, but China grew. Now, growth is around 5%, though debt-to-GDP has risen and productivity appears to be slowing. How does Professor Huang reconcile these views? Professor Huang: The early-2000s collapse predictions were incorrect, but today China faces real strains. The debt-to-GDP ratio has risen since 2008, raising the incremental capital needed to generate each percentage point of growth. Productivity has trended downward; there is a difference between the business-executive view and the academic view. Executives see impressive factories and automation, while academics point to waste and overbuilding—factories producing goods no one wants, empty housing, and higher logistical costs. Net economy-wide productivity is negative, due to inefficiencies offsetting gains. Mario: You compare democracy and autocracy. Some argue China’s centralized, long-term planning works for growth, but Professor Huang notes that personal income growth in China was highest when the system was less autocratic. He argues Deng Xiaoping’s openness—less autocratic than today—drove significant growth, while Xi Jinping’s more autocratic leadership coincides with a growth slowdown. How does he view the balance between political structure and economic outcomes? Professor Huang: He distinguishes between ideal democracy and current practice, arguing the US system is flawed in ways that impede governance (gun control, healthcare, etc.). He notes that autocracy is not the sole cause of growth; historically, less autocratic or more open autocracies in East Asia grew more rapidly than more autocratic regimes. For China, the data suggest that more open regions grew faster than tightly controlled ones. The correlation does not support the idea that autocracy automatically delivers robust growth. Mario: Finally, you discuss Trump’s China policy. Trump’s transactional approach, allied with a perceived US weakness, has shifted dynamics. How will China respond if Europe leans toward China, and could Ukraine policy influence that? Professor Huang: Trump elevated autocracy’s legitimacy, potentially aiding leaders like Xi. Europe might move closer to China if China softens its Ukraine stance; however, the rare-earth move complicates that. Indian leaders understand Trump’s transactional approach, encouraging engagement to safeguard national interests. The global balance will depend on China’s actions and Europe’s response, with the Ukraine position remaining a critical factor.

According to the official version, the US government is concerned that advanced semiconductors and chip making tools could be used by the Chinese military or surveillance. Technologies like AI, high performance computing, and advanced semiconductors have both civilian and military applications. So in other words, they are dual use items, so Washington considers controlling their spread to be a strategic move. The United States placed trade restrictions on chip exports to China primarily due to national security concerns. So it cited national security concerns as the basis for those restrictions and also to maintain its technological edge particularly in areas like artificial intelligence and advanced military systems. By restricting access to high end chips and the equipment to manufacture them, The United States claims that it aims to hamper China's ability to develop next generation military technologies such as hypersonic weapons, autonomous drones, and surveillance and cyber capabilities.

Speaker 0 describes a high-stakes geopolitical confrontation framed as a poker match between the United States and BRICS, especially China. He asserts that the early 2026 period is explosive and that US actions against Iran are imminent, escalating the stakes. He then lays out a narrative beginning with Venezuela, a key Chinese trading partner, where the United States not only sanctioned and condemned Venezuela but launched “devastating strikes,” captured Nicolas Maduro and his wife, and brought them to New York City for prosecution. He claims the Chinese delegation was meeting Maduro in Venezuela on Saturday, but Trump’s actions disrupted the meeting, and the Chinese delegation remains in Venezuela as of Sunday morning. He argues that this is not about narcoterrorism or fentanyl but a larger strategic move, and notes the apparent lack of resistance from Maduro’s side, suggesting direct CIA involvement and a stand-down agreement to allow the operation. He condenms what he calls “phony outrage,” arguing Democrats are not truly anti-war and contending that the incident marks a dangerous precedent for militarized actions in sovereign nations. Speaker 1 contributes by agreeing that China and Russia are not stupid enough to threaten the United States militarily in the homeland, but contends they will act through economic and financial measures. He predicts China and Russia will liquidate debt holdings and trigger negative impacts on the U.S. bond market, while avoiding direct military confrontation. He emphasizes that the response will be economic rather than kinetic. Speaker 0 returns to the 30,000-foot view, stating that the Venezuelan event signals an open head-to-head between the U.S. and China, with globalization receding and regionalization rising. He highlights two key leverage moves: the United States using tariffs as a market-access tool, while China employs choke points through export controls on critical materials. He notes that China quietly moved nearly $2 billion worth of silver out of Venezuela before Trump’s invasion. He points to China’s January 1 policy implementing a new export license system for silver, requiring government permission and designed to squeeze foreign buyers, which coincided with a sharp rise in silver prices. He connects this to broader concerns about supply chains and critical inputs like rare earths and magnets, noting that China produces over 90% of the world’s processed rare earth minerals and magnets, a powerfully strategic lever. He argues that China has tightened rare earth export controls targeting overseas defenses and semiconductor users, and that these factors contribute to a shift from globalization to regionalization where supply chains become weapons. He frames Trump’s tariff strategy as a means to gain access to the U.S. market, branding April 2 as “liberation day” for tariffs due to how markets reacted, and mentions discussions of a tariff dividend proposal to fund a new economic model, as floated by the administration. Speaker 0 concludes that Venezuela is a focal point where resources, influence, and dollars collide, with potential implications for the U.S. dollar, and asserts that the geopolitical chessboard is being redrawn as the U.S. and China move into open competition. He ends by forecasting further moves, including a controversial note about Greenland, and invites viewers to subscribe for coverage of stories the “Mockingbird media” will not discuss.

The speaker argues that China’s export restrictions on indium compounds will likely disrupt the AI data center infrastructure build-out. They describe themselves as an AI developer and “elemental scientist,” running a mass spec laboratory for elemental analysis, and emphasize indium’s rarity and lack of natural abundance. They connect indium to periodic table groupings: indium is in the same periodic table column as boron, aluminum, and gallium (group 13), and like other group 13 elements it has three outer electrons. They state that combining a group 13 element with a group 15 element such as phosphorus produces compounds with characteristics “like silicon” but with better light transmission. They assert that for systems requiring optical transparency and conductivity—solar panels, optoelectronics, optical telecommunications, touch screens, solar cells, and electrodes embedded in displays—indium enables transparent conductors such as indium tin oxide. The speaker links indium to high-speed data center networking, claiming copper cannot provide the required throughput for massive GPU clusters (they mention setups like 100,000 GPUs). They say extremely fast GPU-to-GPU interconnections require optoelectronics and optical transmission rather than copper wiring, noting that they personally use copper at 10G but that it is “getting really slow,” while large AI builders (SpaceX, OpenAI, Meta, Google) rely heavily on optical infrastructure. They claim data centers thus “depend severely on indium.” They then describe escalation in export controls: China is restricting indium exports (and “scrutinizing” exports of straight indium). They say that even in 2025 China added indium phosphide to an export control list. They explain that indium phosphide is indium and phosphorus configured together. They state that indium phosphide wafer prices increased by about 250% in a little over a year and a half, reaching about $5,000 per 6-inch wafer, and they portray this as the “template” for optoelectronics fabrication. The speaker further claims that China is asking extra questions of buyers of just indium, including European and U.S. purchasers providing end user information and destination country details. They connect this to prior U.S. pressure on ASML to block high-end UV lithography exports to China and say China is countering by blocking gallium exports and indium/indium phosphide exports. They argue this will “dramatically hamper” U.S. AI data center build-out, stating that silicon does not work at required wavelengths while indium phosphide works for lasers, photodetectors, modulators, and optical telecom equipment for terabits-per-second bandwidth. They claim “there is no substitute in photonics” for indium phosphide and state that without indium there is no high-speed optical networking in data centers. They present supply chain choke points: they say China controls about 70% of the global indium market and also point to AXT Sumitomo as handling about 80% of substrate manufacturing, while non-Chinese buyers depend on China-controlled input. They reference a Mining.com story stating China’s control over indium phosphide exports threatens AI data center rollout and quotes Semi Analysis analyst Conrad Wong on indium phosphide as a supply chain bottleneck gating AI data center build-outs. They mention NVIDIA’s $2 billion investment into U.S. photonic product makers Coherent and Lumentum and Marvell acquiring Celestial AI, claiming these moves reflect an industry need for photonics dependent on indium. The speaker expands to related shortages and production constraints, mentioning gallium and tungsten hexafluoride (WF6) as bottlenecks for microchips and optoelectronics. They explain indium comes as a byproduct from zinc mining rather than from dedicated indium mines, stating there are “no dedicated indium mines” and that indium is extracted from zinc ores using solvent extraction and electro-refining. They claim China mines/refines around 70% of indium supplied globally, followed by South Korea, Japan, Canada, and others, and state none is the United States. They assert that while indium recycling exists (especially reclaiming indium tin oxide from displays in Japan), there are “almost no spare reserves,” and they say there is no U.S. mining or large-scale U.S. reclamation sufficient for AI data centers. They conclude that if China “flick[s] a switch” to block exports, the U.S. AI industry could be stopped quickly due to dependence on Chinese supply, and they argue that without indium there is no quick substitute. They add element trivia, stating indium is named from “indigo” due to its bright indigo blue spectral line and the Latin indicum, and they mention other elements as named after places or scientists. They end by urging caution toward AI company hype, warning that AI data center expansion could hit “a brick wall called no indium,” tied to ongoing export restrictions and supply bottlenecks.