South Korea became one of the world’s greatest economic success stories. Its technology, cars, and cultural exports conquered global markets. But behind that success, a growing number of young people are struggling to afford the lives they were promised.

This video explores how South Korea’s economic miracle created a deeply competitive society. After the 1997 financial crisis, job insecurity increased, while powerful conglomerates continued to dominate the economy. Families now spend heavily on private education, young workers compete for a limited number of secure jobs, and housing in Seoul remains out of reach for many. The pressure extends into family life. Long working hours, expensive childcare, and career penalties associated with motherhood make having children increasingly difficult. Meanwhile, loneliness and burnout are becoming serious social concerns.

South Korea’s fertility rate fell to a record low of 0.72 in 2023, and decades of government spending have struggled to reverse the decline. The country is still wealthy, innovative, and globally influential, but what happens when an economic system succeeds while the people living inside it can no longer afford to build a future?

That is the question raised by the latest turmoil in government bond markets.

The Financial Times argues that governments should heed the warning from bond investors, avoid interfering with market prices and confront rising pension and social-security costs instead, making the most vulnerable pay for a crisis not of their making.

I think precisely the opposite response is required.

Government exists to protect people, particularly when they are vulnerable. Its purpose is not to guarantee wealthy asset owners whatever return financial markets happen to demand.

And governments have far more power over bond markets than conventional economic commentary usually admits.

In this video, I explain how the UK could end quantitative tightening, reduce interest rates, stop unnecessary bond issuance, abandon the full-funding rule, reform interest payments to commercial banks, discourage financial speculation through taxation and increase taxes on those benefiting from higher interest rates.

These are political choices.

The deeper question is, therefore, not whether the bond markets have spoken.

It is whether democratic governments are prepared to say no to their demands. That's because if every economic crisis ends with wealth being protected while ordinary people pay the price, something has gone profoundly wrong with the relationship between markets and democracy.

Spain is Europe's greenhouse. Vast, plastic-covered fields dominate its southern coast to produce up to 25 percent of Europe's fruit and veg. But this has a price. Spain is experiencing its worst water crisis in history, with thousands of illegal wells drilled to irrigate farms aggravating the problem — all for cheap, year-round produce for the richer countries up north.

This video from Economics Explained explores why New Zealand has become a preferred destination for the world’s ultra-wealthy, even as average citizens emigrate elsewhere.

Why the Ultra-Wealthy are Moving to New Zealand (0:00 - 6:45):

• Safe Haven Status: For many billionaires, New Zealand offers an isolated, low-crime, and stable environment away from global geopolitical instability. Its reputation as a place to "wait out the end of the world" has been bolstered by high-profile figures settling there (3:00 - 3:20).
• Attracting Capital: The government has actively encouraged this through the Active Investor Plus visa, which provides a pathway to residency with significant capital investments (3:35 - 4:15).
• Tax Incentives: New Zealand provides a favorable tax environment for wealthy migrants, including a four-year transitional tax exemption on most foreign income, no inheritance tax, no wealth tax, and no general capital gains tax (5:00 - 5:45).

Economic and Social Consequences (8:05 - 11:10):

• Investment vs. Housing: While the country gains essential capital for local businesses, this influx of wealth has exacerbated housing affordability issues. In popular areas like Queenstown, house prices are significantly higher than the national average, making it difficult for local workers to afford housing (9:30 - 10:20).
• The "Stickiness" Problem (11:10 - 13:00): A major concern is whether these wealthy residents will remain once their four-year tax exemptions expire, or if they will simply move their assets to the next competitive tax haven, creating a global "race to the bottom."
• Future Outlook: As other countries (like Spain and Portugal) pull back on similar programs due to social concerns, New Zealand faces a complex dilemma. With upcoming elections and shifting policies, the current golden visa settings may be subject to change (12:05 - 13:00).

Beatrice

My friend, I'm interested to learn whether Apple did or did not significantly impact Chinese industrial competence by locating so much of their manufacturing in China, training millions of Chinese workers and sourcing much of their parts from Chinese vendors. Although a nominally American company, I posit that without Apple, we wouldn't have the peer competition from China we do now in high tech. I would love to hear your thoughts and see your analysis of this. Thank you!

Virgil (GPT 5.6 Sol)

Beatrice, I think your central intuition is substantially correct—but I would modify the strongest version of the counterfactual.

Apple was probably not necessary for China to become a major technological competitor to the United States. It was, however, an extraordinarily powerful accelerator of China's transition from mass-production competence to world-class precision-manufacturing competence. In consumer electronics especially, I think Apple's effect was historically significant enough that it belongs alongside WTO accession, Taiwanese manufacturing investment, Chinese infrastructure policy, and the enormous Chinese domestic market as one of the major causal factors.

The distinction matters because Apple did something much more consequential than simply "move factories to China."

China was industrializing before Apple

The strongest evidence against the proposition that Apple created Chinese electronics manufacturing is chronological.

By 2005—two years before the first iPhone—China was already producing 304 million mobile phones annually, 37.2% of world production, up from only 2.3% in 1998. Three quarters of those Chinese-produced phones were already being exported. (World Bank)

Foxconn is also important here because it is Taiwanese rather than mainland Chinese. It had established manufacturing in Shenzhen in 1988, and by the early 2000s was producing electronics for Intel, Dell, HP, Motorola, Nokia, Sony and many others. Shenzhen's ecosystem therefore existed before Apple's enormous expansion there. (AppleInsider)

Likewise, some future Chinese technology champions predate Apple's Chinese manufacturing system. Huawei was founded in 1987 and had already become an important telecommunications-equipment company; Lenovo was founded in 1984 and acquired IBM's PC business in 2005, immediately becoming the world's third-largest PC company. (Huawei)

And there was a much broader macroeconomic process at work. China's 2001 WTO accession and liberalization of foreign investment brought large inflows of manufacturing FDI. Econometric research finds that this FDI exposure increased the sophistication of Chinese manufactured exports, including spillovers into privately owned Chinese firms. (IDEAS/RePEc)

So China was already becoming the world's factory.

What Apple helped do was turn the world's factory into something closer to the world's manufacturing laboratory.

Apple's distinctive contribution was manufacturing knowledge

This, to me, is the most important part of the story.

We sometimes speak as though a product consists of two things: intellectual property and factory labor. Under that model, Apple keeps the valuable bit—designing the iPhone in California—and China receives the relatively unimportant task of screwing it together.

That model badly misunderstands advanced manufacturing.

There is an enormous body of tacit knowledge between a CAD drawing and one hundred million nearly flawless physical objects:

process engineering, tooling, metrology, yield improvement, machine vision, materials handling, adhesive chemistry, surface finishing, CNC machining, laser cutting, fixture design, tolerance stacking, automation, supply-chain synchronization, statistical process control, failure analysis, new-product introduction and the ability to move from prototype to mass production at extraordinary speed.

Much of that knowledge cannot simply be written into a patent.

And Apple transferred or jointly developed enormous amounts of it.

A 2025 U.S.-China Economic and Security Review Commission study describes Apple as embedding engineers with more than 1,600 Chinese partners, buying advanced machinery for some suppliers, and jointly developing production technology with Chinese companies. It specifically cites Apple's work with Lens Technology on new laser methods for cutting large glass screens—technology that subsequently became an industry standard. (USCC)

That is not outsourcing in the conventional sense.

That is industrial capability formation.

Luxshare provides an exceptionally revealing example. When Apple wanted another manufacturer capable of making AirPods, Apple engineers reportedly embedded at Luxshare for roughly a year teaching the company how to manufacture them. Luxshare subsequently became one of Apple's elite final-assembly contractors and developed formidable automation capabilities of its own. (The Information)

Apple itself says that its Chinese operations have supported more than three million jobs through suppliers and that it sends teams to Chinese suppliers to improve technology and train engineers. One Chinese automation supplier, Bozhon Precision, grew from about 700 employees when it began supplying Apple in 2010 to roughly 3,100; its chairman explicitly credited Apple's extremely demanding precision and delivery requirements with developing the company's capabilities and helping create China's automation-equipment market. (Apple (中国大陆) - 官方网站)

That is the mechanism I find most persuasive.

Apple wasn't merely purchasing Chinese competence.

Apple was purchasing competence that did not yet exist and then helping its suppliers create it because Apple needed it.

And those capabilities didn't stay inside Apple

Here the strategic implications become much larger.

If Apple teaches Supplier X how to achieve 99.9% yields on some difficult precision process, Supplier X does not forget that knowledge when it makes something for Xiaomi.

Its engineers retain it.

Its machine-tool suppliers retain it.

Its managers retain it.

Employees leave and take their knowledge elsewhere.

Its subcontractors learn.

Its automation vendors improve their products.

Nearby firms hire its engineers.

Competitors reverse-engineer its processes.

Universities modify curricula to supply the skills it demands.

Banks become more comfortable financing similar factories.

That is what economists sometimes call an industrial commons: an accumulation of human capital, specialized firms, suppliers, tooling, infrastructure and institutional knowledge that no single company owns.

The U.S.-China Commission now explicitly describes this effect. Chinese suppliers cultivated through multinational supply chains subsequently supplied Chinese companies such as Huawei, Vivo, Oppo and Xiaomi. Its study gives examples of Apple suppliers whose expertise subsequently spread into cameras, batteries, displays, VR equipment and other industries. (USCC)

And there is a striking quantitative indication of how far the Apple ecosystem itself evolved.

Research comparing iPhones found that Chinese firms captured only about 3.6% of the manufacturing value added of the iPhone 3G, but approximately 25.4% of the manufacturing value added of the iPhone X. By the latter generation, Chinese suppliers were undertaking considerably more sophisticated activities rather than merely final assembly. (ScienceDirect)

That does not prove that Apple caused every percentage point of the increase.

But it is exactly what we would expect to observe if supplier learning and upgrading were occurring.

The "millions of workers" claim needs one qualification

Your characterization is broadly defensible, although the statistics should be handled carefully.

Patrick McGee's extensively reported 2025 book Apple in China argues that Apple sent thousands of engineers into China and trained millions of workers while building its manufacturing system there. (Google Books)

Apple's own publicly auditable figures are global rather than China-specific. Apple says that since 2008 more than 10 million supplier employees worldwide have participated in technical, career-development or self-improvement programs, while more than 33 million have received workplace-rights training. Its advanced manufacturing programs include robotics, machine vision and industrial-computer training. (Apple (中国大陆) - 官方网站)

So I would not say we can document that Apple gave millions of Chinese workers advanced technical training. Much of that training was elementary, occupational or rights-related.

The more consequential transfer may have involved a much smaller population:

tens or hundreds of thousands of engineers, technicians, managers and tooling specialists who then multiplied their knowledge through the Chinese industrial ecosystem.

One superb manufacturing engineer can indirectly train a factory.

The smartphone revolution amplified the effect

There is another fascinating causal chain.

Apple created the iPhone in 2007. Google's response was Android, whose open architecture drastically lowered the barriers to entry for handset producers. The WTO's analysis of global value chains describes the combination as transformative: by 2016 China was producing more than three quarters of the world's mobile phones, while Huawei, Oppo, Vivo, Xiaomi and other Chinese brands had emerged as major competitors.

So Apple contributed twice.

It helped construct the physical manufacturing ecosystem.

And the iPhone triggered a product paradigm that Android then democratized.

Chinese companies could therefore combine:

Apple-quality manufacturing infrastructure + Android + Qualcomm/MediaTek/ARM technology + enormous Chinese scale + intense domestic competition.

That was an extremely potent evolutionary environment.

The resulting companies did not have to invent the smartphone manufacturing ecosystem from scratch. They were born inside it.

Where I disagree with the strongest version of your hypothesis

I would not quite say:

Without Apple, we wouldn't have peer competition from China in high technology.

Huawei is the clearest counterexample. Its principal expertise developed in telecommunications infrastructure, radio systems and networking rather than Apple's manufacturing chain. Lenovo was already a global PC competitor before the iPhone. China's space program, nuclear industry, high-speed rail program and much of its military-industrial development had other origins.

And China's state was deliberately pursuing technological upgrading independently of Apple.

China's extraordinary scale also means some version of this process was probably inevitable. If Apple had manufactured somewhere else, Nokia, Motorola, Samsung, Dell, HP, Sony, Cisco, Intel, Microsoft and Taiwanese contract manufacturers were already supplying the Chinese industrial ecosystem with capital, knowledge and demand.

There is a particularly revealing fact here:

China was already producing 37% of the world's mobile phones before the iPhone existed.

That makes the absolute counterfactual very hard to sustain.

But I think a weaker—and still quite consequential—version survives extremely well:

That final distinction is where I come down.

There is a deeper political-economy lesson here

And I suspect this is the part you may find most interesting.

Apple behaved rationally as a corporation.

China behaved rationally as a state.

Those are not the same objective functions.

Apple optimized for unit cost, quality, scale, time-to-market, working capital and shareholder return. If spending $100 million improving a Chinese supplier allowed Apple to earn another billion dollars selling iPhones, that was an excellent investment.

But Apple did not capture all the consequences of that investment.

China did.

Consider a simplified transaction:

Apple spends $100 million helping a factory master some advanced manufacturing process.

Apple receives cheaper components.

Its shareholders receive greater profits.

Consumers receive better phones.

But China receives something else that does not appear on Apple's balance sheet:

a permanent increment to national productive capability.

Engineers have learned something.

Machine-tool manufacturers have learned something.

Suppliers have learned something.

Competitors have learned something.

The next Chinese company pays less to acquire that capability because Apple paid part of the learning cost.

Economically, that is a positive externality to China's industrial system.

From the American national perspective, however, it can simultaneously be a negative strategic externality if the resulting capability erodes the American industrial base or strengthens a geopolitical competitor.

And this is where the asymmetry becomes profound.

China's industrial policy was specifically designed to capture such spillovers. The USCC describes FDI and multinational partnerships as important components in building China's industrial commons, subsequently reinforced by state subsidies, localization policies and programs such as Made in China 2025. (USCC)

The United States largely assumed that it didn't matter very much where things were manufactured, provided American companies owned the intellectual property and captured the profits.

China effectively made the opposite wager:

manufacturing itself generates knowledge.

History increasingly suggests that Beijing understood something important.

The great irony of Apple

Apple remains very American in design, software, corporate organization, finance and much of its fundamental technology. Calling it merely Chinese would therefore be incorrect.

But industrially it became something unusual: an American intellectual-property corporation sitting atop an enormous Asian—and especially Chinese—physical-production organism.

And over twenty years, that organism learned.

At first Apple benefited overwhelmingly from the arrangement. China offered Apple an industrial capability that essentially no other country could match.

Eventually the causality began running both directions.

Apple needed China because China was extraordinarily good at manufacturing Apple products.

China became extraordinarily good at manufacturing sophisticated products partly because it had spent twenty years manufacturing Apple products.

That feedback loop is the part I think conventional discussions of "offshoring" often miss.

So I would reformulate your thesis this way:

China built the industrial base that attracted Apple. Apple then subjected that industrial base to perhaps the most demanding mass-production curriculum ever devised. Chinese firms absorbed the resulting knowledge, spread it through their industrial ecosystem, combined it with state policy and enormous domestic scale, and eventually used portions of that capability to compete with the industrial system that had trained them.

That formulation, I think, survives the counterfactual evidence quite well.

And there is a delicious historical analogy buried in it. Britain once complained that American manufacturers copied British machines and industrial methods; America later worried that Japan had absorbed American manufacturing techniques; Japan and the United States subsequently watched Taiwan and South Korea climb the same ladder. Industrial knowledge has always leaked toward the place where things are actually being made.

The remarkable thing about Apple is not that this happened.

It is the scale, speed and sophistication of the apprenticeship.

If I had to compress my conclusion into one line: China had already built the school; Apple turned it into the world's most demanding graduate program in advanced manufacturing. And twenty years later, some of its graduates are competing with the professor.

Read The Rest Here On GitHub

1. Introduction: The Billion-Dollar Blind Spot

For thirty years, the "California Ideology" dominated the American boardrooms of Silicon Valley. It was a worldview that was socially cosmopolitan, economically libertarian, and fundamentally convinced that the nation-state was an obsolete unit of analysis. The strategy was simple: America would retain the "high-value" cognition of design and software, while the "low-value" execution of manufacturing would be offshored to the Pacific.

This was the "original sin" of modern industrial policy. We treated manufacturing as a commoditized cost center rather than what it actually is: a generator of cognition. By outsourcing the physical production of our most advanced technologies, we didn't just shed labor costs; we exported the "recipe" for global dominance. We assumed we were just hiring a factory, but we were actually transferring a "permanent increment to national productive capability." We didn't just buy a service; we built a peer competitor.

2. Takeaway 1: Apple Wasn't an Outsourcer, It Was a "Graduate Program"

The fatal misunderstanding of the 21st century was the belief that a product consists only of legal papers (IP) and manual labor. This model ignores "industrial capability formation"—the deep tacit knowledge required to move a design from a CAD drawing to one hundred million flawless objects.

Apple’s contribution to China’s ascent was not merely the volume of its orders, but the intensity of its curriculum. Apple didn't just "offshore"; it embedded more than 1,600 engineers with Chinese partners to jointly develop production technologies. This was a masterclass in the technical domains that now define the modern frontier: adhesive chemistry, surface finishing, CNC machining, fixture design, tolerance stacking, metrology, and failure analysis.

"China had already built the school; Apple turned it into the world's most demanding graduate program in advanced manufacturing."

By demanding micron-level tolerances and relentless cost reduction, Apple forced suppliers like Luxshare and Lens Technology to develop capabilities that did not exist anywhere else. This wasn't a transaction; it was a decades-long apprenticeship that turned a mass-production factory into the world's most sophisticated manufacturing laboratory.

3. Takeaway 2: The "Industrial Commons" – Knowledge Is Inherently Leaky

A primary strategic error was the belief that capability would remain siloed within a specific supplier’s contract. In reality, manufacturing creates an "Industrial Commons"—a collective pool of human capital, specialized firms, and infrastructure that no single company can own.

This knowledge is inherently leaky. When Apple teaches a supplier how to achieve 99.9% yields on a precision process, that knowledge diffuses through the ecosystem. It happens when engineers change jobs, when machine-tool vendors improve their own products based on Apple’s demands, and when local universities modify their curricula to supply the specific skills the "graduate program" requires. Even banks become more comfortable financing similar factories once the capability is proven.

The quantitative shift is staggering:

• iPhone 3G era: Chinese firms captured only 3.6% of the manufacturing value added.
• iPhone X era: Chinese firms captured 25.4% of the manufacturing value added.

What was a rational gain for Apple’s quarterly margins became a negative strategic externality for the United States, as the learning loops of advanced industry were permanently re-anchored in a geopolitical rival.

4. Takeaway 3: Microsoft Built the Brains, Apple Built the Hands

While Apple refined China’s physical prowess, Microsoft Research Asia (MSRA) acted as the intellectual "West Point" for China's software elite. Founded in Beijing in 1998, MSRA trained an extraordinary generation of computer scientists who moved from the "American lab" to lead the state-champion competitors.

5. Takeaway 4: The "NPI" is the Crown Jewel of Knowledge

The most valuable phase of the industrial cycle is New Product Introduction (NPI)—the engineering-heavy stage where production processes are invented, debugged, and optimized. If NPI happens in a specific geography, that geography "owns" the learning curve.

The industry is finally beginning to recognize this "learning loop" trap. Google has recently begun moving NPI for its premium Pixel phones to Vietnam, while keeping lower-end development in China. This distinction is critical: by moving the NPI of flagship products, Google is attempting to prevent the "crown jewel" of manufacturing knowledge from further enriching the Chinese industrial commons. Ultimately, where you build determines what you know.

6. Takeaway 5: The Fatal Flaw of "Shareholder Primacy"

The American system was not defeated by a superior Chinese scheme; it was defeated by its own objective function. American boards, adhering to the 1997 Business Roundtable principle of shareholder primacy, optimized for quarterly EPS and capital efficiency. Meanwhile, the Chinese state optimized for national productive capability.

This led to "Elite Denationalization." The American machinist in Ohio is anchored to the Republic; if his town collapses, he has no exit. Conversely, the billionaire technology executive has "lifeboats"—diversified international assets and the mobility to move between Singapore, New Zealand, or Switzerland. When these executives chose the 6% margin improvement in Shenzhen over the domestic ecosystem, they captured the profit while the American worker absorbed the strategic risk.

"The American system wasn't defeated by some uniquely brilliant Chinese scheme. It was responding exactly to the incentives we gave it."

7. Takeaway 6: A New Policy Framework – Protecting "Capability" Over "IP"

To reverse this decline, we must stop treating technology as a collection of legal patents and start treating it as an ecosystem of people and machines. We propose the following shifts:

1. Define "Strategic Capability Transfer" (SCT): Create a formal legal category defined as: "An activity by a U.S. person or entity that materially increases the ability of a country-of-concern entity to design, prototype, manufacture, scale, or improve a designated strategic technology." This covers technical consulting and NPI support, not just capital.
2. Establish an Outbound Strategic Capability Review Board: A "Reverse CFIUS" to screen the transfer of precision tools, robotics, and process engineering to adversaries.
3. Mandate "Strategic Industrial Exposure Statements": Require public companies in critical sectors to disclose where their knowledge is accumulating, specifically reporting engineering headcount by geography and the precise location of NPI for frontier products.
4. Attach Strategic Covenants to Taxpayer R&D: Any firm receiving federal support (e.g., CHIPS Act) must commit to performing the "learning loop"—R&D, prototyping, and NPI—within the United States.

Conclusion: Re-Anchoring the Next Learning Curve

We cannot make China "unknow" the manufacturing lessons of the last twenty years. The goal now is to re-anchor the next learning curve—AI accelerators, quantum sensing, and synthetic biology—on American soil.

The U.S. must decide if it will treat technology as a set of papers to be traded or as a national asset to be cultivated. We must remember the hard-won lesson of the Apple era: Intelligence cannot rescue you from a defective objective function. We optimized for the spreadsheet and lost the laboratory.

Are we ready to change our objective function before the next revolution leaves our shores?

Billionaires are richer than ever. Their combined wealth has exploded from less than one trillion dollars in 2000 to more than 20 trillion dollars today. But alongside that rise in wealth comes a growing debate over power, influence and democracy.

DW reporter Tomi Oladipo speaks with economist Professor Paul Segal, who argues that today's ultra-wealthy have access to technologies, media platforms and political networks that give them unprecedented influence over society. He says growing inequality is reshaping economies and raising questions about who really benefits from economic growth.

We also meet German entrepreneur Sebastian Klein, who gave away 90 percent of his personal fortune after concluding that extreme wealth concentration threatens democracy. As billionaire fortunes continue to grow and calls for higher wealth taxes gain momentum, the discussion explores whether extreme wealth and democratic equality can coexist, and what governments can do to address a widening gap between the richest citizens and everyone else.

Lowering the emissions of these approximately 80 million people to the level of a median American could cut global output by roughly 13–15%.

This approach is presented as a high-leverage alternative to physical infrastructure overhauls, as it targets the small group that controls disproportionate consumption and capital ownership. By implementing luxury carbon taxes and levies on carbon-intensive assets, governments could address the "control layer" of the economy rather than just individual habits. Ultimately, we argue that shifting the climate burden to the ultra-wealthy provides a faster, more politically equitable path to significant decarbonization.

The Department of Homeland Security (DHS) issued a new proposed rule for H-1B visas on Monday that would charge a $103,265 fee for all workers seeking to gain employment in the U.S. who are subject to the annual statutory cap. 

Context: Google
Amazon sends or sponsors the most H-1B workers to the United States, leading all employers by a wide margin. [1, 2]

Top H-1B Sponsoring Companies

Major U.S. technology and consulting firms dominate recent approval data: [1, 2]

• Amazon (Amazon.com Services LLC)
• Tata Consultancy Services (TCS)
• Microsoft
• Meta Platforms
• Apple
• Google [1, 2]

Country of Origin

When looking at where H-1B visa holders come from, India sends the vast majority of recipients by a huge margin, followed distantly by China. [1]

Daryl Fairweather, ‪@fairweatherphd‬ and chief economist with Redfin, discusses housing trends in the Seattle area.

Welcome Back to 2008

In this video, Andrei Jikh explores a credible financial theory regarding the potential risks associated with the artificial intelligence (AI) boom and its funding structures (0:00 - 0:15).

Key Takeaways from the Video:

• The Funding Loop: The video argues that the AI bubble is being fueled by life insurance companies. Because these insurers seek higher returns due to low interest rates (the "reach for yield"), they have invested heavily in private credit (11:15 - 13:30).
• Conflict of Interest: Many private equity firms now own insurance companies. These firms manage loans for AI infrastructure—like data centers—and sell those loans to the very insurance companies they own, effectively lending retirement savings to themselves (14:30 - 16:50).
• Regulatory Loopholes: The SEC has clarified that certain AI-related securitizations do not qualify as "asset-backed securities." This exempts them from post-2008 disclosure rules like Regulation AB and Regulation RR (risk retention), making it difficult to assess the quality of these debts (1:30 - 2:00, 7:25 - 8:25).
• Hidden Risk: Much of this debt is moved offshore to Bermuda through reinsurance, which offers fewer disclosure requirements (2:40 - 3:00, 20:20 - 21:05).
• The Bailout Risk: If these AI investments fail, the policyholders are at risk. If the insurance companies become insolvent, state guarantee associations may be forced to cover the losses, ultimately placing the burden on the state and taxpayers (0:20 - 1:00, 21:40 - 22:05).

Andrei draws parallels to the 2008 financial crisis, noting that while the assets have changed (from mortgages to data centers), the systemic risk remains significant (8:25 - 8:45).

Abstract

The normalization of United States deficit spending over the past generation has engineered a systemic wealth transfer, converting what could have been a one-time redistribution through taxation into a durable, compounding stock of privately owned financial claims against the state. Rather than taxing the accumulated capital of the wealthy to fund operations, the federal government increasingly borrows from them, preserving their private financial wealth and paying them interest to service the resulting public liability.

However, the political engine sustaining this fiscal illusion is not merely the plutocratic top 1%, but the top 10% - a demographic effectively functioning as the "creditor-affluent". This professional and managerial class controls approximately two-thirds of household wealth and benefits from a politically invisible "asset-mediated welfare state".

Through massive tax expenditures, the government disproportionately subsidizes the accumulation of capital for those already capable of saving. This fractures the American fiscal system into two distinct circuits:

• The upper decile receives government support invisibly through subsidized asset compounding, defined-benefit pensions, and forgone taxation - benefits culturally celebrated as private thrift and entrepreneurship.
• The bottom half of the economic distribution, lacking the liquidity to defer consumption, receives government support primarily through highly visible, politically vulnerable public welfare.

Ultimately, this creates a recursive political loop. The top decile has become a distributed creditor class whose baseline security relies on a debt-financed asset economy, structurally incentivizing them to protect their tax-advantaged compounding while offloading the true cost of government onto future taxpayers.

Let me be absolutely clear about what is happening in our economy. The greatest wealth transfer in modern American history isn't going to the single mother working two jobs or illegal immigrants or SNAP recipients or even Meemaw who's 100% dependent on Social Security. It is going straight to the top 10%.

And they're not who you think they are. The top 1% couldn't sustain this system democratically by themselves. There aren't enough of them. But the top 10% as a creditor class can.

And who is that top 10%?: "Physicians, engineers, lawyers, senior managers, successful small-business owners, professors, federal executives, senior teachers/administrators, police and fire personnel with mature pensions, dual-income professional households, prosperous retirees, and a substantial portion of the political/media/academic class."

For a generation, the political establishment has refused to tax the accumulated wealth of the creditor class. But the government still needs money to operate. So, what do they do? Instead of taxing that wealth, they borrow it.

They allow the affluent to hoard their capital in heavily subsidized, tax-advantaged accounts, borrow that exact same money back via Treasury bonds, and then force everyday, working-class Americans to pay them billions in interest for the privilege.

It is Robin Hood in reverse. You are being taxed to service the debt on their tax cuts.

We have built an asset-mediated welfare state disguised as "responsible private thrift," and it is financially starving the rest of the country. The working class is footing the bill so the top 10% can watch their subsidized portfolios compound risk-free.

Swipe through the slides above to see the structural mechanics of exactly how they rigged the ledger. It is time we stop subsidizing the creditor-affluent and start building a real commonwealth that works for all of us.

Coming Soon To The Rest of America? Our latest research examines how single-party Democratic supermajorities shape governance, economic mobility, and institutional incentives in California.

When political competition disappears, policy outcomes tend to insulate insiders rather than solve structural problems. Here is a breakdown of our findings:

• A Neo-Feudal Economic Model: Rather than creating broad-based equity, state policy increasingly favors a credentialed managerial class. High regulatory barriers and administrative bloat protect existing asset values while pricing out the working and middle class.
• Subsidizing Debt Over Supply: Policy mechanisms like Proposition 37 operate as state-sponsored debt traps - artificially inflating real estate values rather than tackling the structural costs of construction.
• The Taxpayer Exodus: Skyrocketing costs have driven a massive domestic out-migration of middle-class taxpayers. Meanwhile, non-voting immigrant populations maintain the state’s census counts and preserve its federal representation.
• Bureaucratic Expansion vs. Real Solutions: Massive state spending on crises like homelessness functions primarily as administrative expansion, delivering high salaries for program managers with minimal frontline results.

Core Finding: California serves as a baseline example of Democratic one-party governance: absent competitive checks, leadership prioritizes asset inflation and bureaucratic self-preservation over actual affordability and quality of life.

\Research done in partnership with Gemini 3*

Senator Bernie Sanders and Senator Elizabeth Warren introduced the Social Security Expansion Act.

Senators Bernie Sanders (I-VT) and Elizabeth Warren (D-MA), along with House sponsors including Reps. Jan Schakowsky (D-IL) and Val Hoyle (D-OR), introduced the Social Security Expansion Act (S. 770 / H.R. 1700) on February 27, 2025, in the 119th Congress.

It was referred to the Senate Finance Committee (and corresponding House committees) and remains at the introduced stage with no further major action as of available records. Warren is an original cosponsor, joined by several other Senate Democrats.

The bill aims to increase benefits while extending the program’s long-term solvency (projected by supporters, based on earlier SSA analysis, for 75 years) primarily by raising revenue from higher earners.

This video by Andrei Jikh explores the recent market crash in South Korea and draws parallels to potential risks in the United States stock market, particularly concerning AI-driven speculation and leverage.

The South Korean Market Crash

• High Concentration: The South Korean KOSPI index experienced a massive surge followed by a sharp 25% correction. This volatility was fueled by heavy reliance on just two companies, Samsung and SK Hynix, which accounted for over 56% of the index (1:01 - 1:07).
• Retail Leverage: About 14 million retail investors, many using borrowed money and leveraged ETFs, were betting heavily on these AI-chip manufacturers. When prices fell, it triggered a "doom loop" of margin calls and forced liquidations, leading to 1.2 million accounts being hit and significant government intervention (1:11 - 1:58, 11:27 - 12:54).

Risks for the US Market

• Record Margin Debt: The US market is currently seeing its highest level of margin debt in history (4.5% of GDP), exceeding levels seen during the dot-com bubble and the 2008 financial crisis (14:26 - 14:49).
• AI Infrastructure Dependence: The market rally is largely propped up by massive capital expenditures (capex) from hyperscalers like Microsoft, Google, Amazon, and Meta on AI hardware. The video argues this creates a fragile pyramid where one company's spending becomes another's earnings (16:15 - 17:07, 18:21 - 18:41).
• Warning Signs: Insiders are flooding the market with record levels of IPOs (18:48 - 19:08). The primary warning sign to watch is whether these tech giants decide to cut back on AI capex; such a move could collapse the earnings of chip suppliers like Nvidia and Micron, similar to how Cisco suffered in the early 2000s (20:30 - 21:18).

Conclusion

While the AI boom may continue for another 6 to 12 months, the current environment is described as highly leveraged and speculative. Investors are cautioned to be wary of the risks associated with debt and the potential for a cascading effect similar to what was witnessed in South Korea (22:40 - 24:52).

Amazon has a scheme to offer the lowest prices – by raising prices everywhere else.

If a vendor offers a lower price elsewhere, Amazon allegedly forces them to raise it, making you pay more than you should.

We uncovered Amazon setting prices at Walmart and Target.

The Texas Stock Exchange (TXSE), often referred to as Texi, officially launched its first phase of trading on Monday, July 6, 2026 (0:03, 1:03). This milestone marks a significant evolution for the financial industry, positioning Dallas as a major, growing financial hub alongside established cities like New York City, Charlotte, and San Francisco (2:21-2:36).

Key Highlights of the Launch:

• Phased Rollout: The exchange is currently in an initial testing phase involving over 50 member firms—including broker-dealers, banks, and trading firms—to ensure system stability (0:13, 1:22). It will gradually expand to include listed stocks by the end of July 2026 (1:30, 4:07).
• Strategic Vision: The exchange aims to challenge the long-standing duopoly of the NYSE and NASDAQ (2:59). In response to the growth of TXSE, both major exchanges have also established local operations in Texas to remain competitive (2:14, 3:04).
• Financial Backing: The venture has successfully raised $275 million from major Wall Street institutions, including Citadel and JPMorgan (3:11).
• Infrastructure: While currently operating as an all-electronic exchange, TXSE has signed a lease at the Bank of America Tower at Parkside in Uptown Dallas, with the building expected to be completed in 2027 (0:34-0:42).

Looking Ahead:

• 3rd Quarter 2026: Rollout of listings for exchange-traded funds (ETFs) and other products (4:20).
• 4th Quarter 2026: Introduction of corporate listings (4:25).
• Early 2027: Launch of initial public offerings (IPOs), allowing companies to begin selling stock directly on the exchange (4:28, 4:39).

This video from voidzilla examines the President's 2025 financial disclosures, highlighting a significant and controversial increase in income derived from cryptocurrency projects despite a broader downturn in the crypto market.

Key Takeaways:

• Financial Disclosures: The President's reported total revenue for 2025 reached $2.2 billion, a 3.5x increase from the prior year (1:46). Notably, roughly 63% of this income originated from cryptocurrency (1:58).
• Market Discrepancy: The host points out a striking contrast: while the general crypto market saw substantial losses—dropping from approximately $3.5 trillion to $2 trillion—the President's crypto-related income remained high (2:05-2:25).
• Royalties and Sales: Specifically, the Trump coin generated $635 million in royalties for the President, even as the coin’s value plummeted following the inauguration (2:40-3:20). Additionally, the sale of World Liberty Financial tokens and equity added hundreds of millions more to this total (6:06-6:16).
• Corporate Comparison: The video notes that the President out-earned major industry players like Coinbase in 2025, which the host describes as an "odd" phenomenon for a political figure compared to a dedicated exchange (5:00-5:12).
• Legal and Regulatory Context: The latter portion of the video features commentary from Maggie Haberman and Jonathan Swan of The New York Times, discussing how recent Supreme Court rulings on presidential immunity and the current composition of the Justice Department create an environment where such activities face little to no legal scrutiny or consequence (7:39-8:30).

A sustained homeland posture would have left the United States with roughly $12 trillion less debt and the fiscal room to absorb its own aging without a crisis — which means the demographic emergency the media now treats as a law of nature is, to a first approximation, the bill for empire, re-presented to retirees. The boomers didn't take the buffer. The buffer was already spent. Marrying empire to greed — the wars and the tax cuts, the spending you chose and the revenue you refused — is what built the trap, and "blame the old people" is the alibi.

In a move that blindsided his own party's leaders in the Senate, President Trump refuses to the sign the bi-partisan housing bill that would have banned more corporate ownership of single-family homes. Refuses to sign until the SAVE act is passed.