Real Estate Has Trapped Generations, Until Someone Decided to 'Cut' It Apart

比推Pubblicato 2026-03-04Pubblicato ultima volta 2026-03-04

Introduzione

The article "The Frozen Fortune" discusses the impending $124 trillion "Great Wealth Transfer" of wealth, primarily in real estate, from the Baby Boomer generation to their heirs. While often portrayed as a windfall, this wealth is largely illiquid and locked in homes that were bought under favorable economic conditions now unavailable to younger generations. Millennials and Gen Z face high housing costs, student debt, and mortgage rates, making homeownership difficult. Inheriting a valuable but illiquid asset creates complex dilemmas around selling, maintaining, or dividing the property. The piece argues that tokenization—representing physical assets like real estate on a blockchain—can bridge this generational gap. It solves key problems: enabling partial sales for liquidity, simplifying distribution among multiple heirs, allowing remote management, and providing access to asset ownership without requiring full purchase. Major financial institutions are already building the infrastructure for this shift. The core issue is translating a generation's wealth, stored in physical property, into the digital, liquid form that the inheriting generation understands and prefers. Tokenization doesn't solve the housing affordability crisis but addresses the friction of transferring massive, illiquid assets between generations with different financial paradigms.

Author: Thejaswini M A

Original Title: The Frozen Fortune

Compiled and Arrangement: BitpushNews


The house—your parents never saw it as an investment. They bought it because they needed a place to live, because the mortgage was affordable on a single income back then, because the schools in the community were excellent, because it was the default choice people made at the time. They painted the living room twice, replaced the roof once, and argued about renovating the kitchen for years without ever doing it. They raised children in it, grew old in it. In the process, without really meaning to, they built the most valuable asset they would ever own.

Now, they are struggling to pay medical bills, and that house is worth $1.2 million.

A number keeps recurring in financial research: $124 trillion.

This is the estimated value of assets expected to pass from the older generation to the younger one over the next 25 years. Analysts call it the "Great Wealth Transfer." In media portrayals, it sounds like pure good news for the heirs.

But is it really?

Much of this wealth being transferred is illiquid. A large portion is real estate. These are houses bought by Baby Boomers when prices were reasonable, paid down over decades, and appreciated in value, ultimately becoming the primary store of their wealth.

The generation inheriting these houses grew up watching those same prices put homeownership out of their reach. Now, these houses are about to them—illiquid, emotionally burdensome, legally complex, and increasingly impractical.

This is the problem the "$124 trillion" headline fails to capture.

To understand why this matters, you must understand what happened to housing from the 1960s to now. It changed categories. It started as shelter, a place to live, and slowly became the primary financial instrument for the American middle class. For families outside the high-income bracket, a house isn't one asset among many; it is the only asset. Real estate equity represents the largest single item on the median American family's balance sheet, dwarfing the combined value of retirement accounts, stocks, and all other assets.

The Baby Boomers accumulated this wealth under conditions that no longer exist. They bought when the price-to-income ratio was between 2 and 3.5. They paid off their mortgages during decades of real wage growth. By Q1 2025, the real estate held by Boomers had reached $19.5 trillion, up from a fraction of that in 1990.

(Data from cnbc.com)

Millennials entering the market today face a price-to-income ratio more than double what their parents faced. They carry student loan debts their parents didn't have. They face mortgage rates that make the monthly payment on a median-priced home nearly unaffordable for a median-income family. The down payment alone—in a market where prices rise faster than savings accumulate—has become a trap.

Chart from @fred.stlouisfed data

The result is a generational rift that is no longer cyclical. The generation that could afford to buy, did. The generation that couldn't is poised to inherit.

Real estate is one of the most illiquid assets a person can hold.

When you need cash, you can't sell 10% of the house. When your job moves, you can't relocate it. You can't cleanly divide it among four siblings without triggering a legal process that can take 18 months and drain the estate's funds. Inheriting a million-dollar house in a city you can't afford to live in isn't good news; it's a dilemma: Sell it? Keep it and bear the maintenance costs? Rent it out and become a landlord? Or spend years negotiating with siblings over which option to choose?

Baby Boomers currently hold about 40% of U.S. housing wealth. 61% say they will never sell. When you see the incentive structure, this isn't stubbornness. Selling triggers capital gains taxes on decades of appreciation; it resets a 3% mortgage rate to 7%; in California, it could instantly multiply property taxes tenfold. And there are no affordable houses available for them to downsize into.

So they stay put. The houses stop circulating. Younger buyers are locked out, waiting for an inheritance that has become the only realistic path to homeownership in many cities. When the inheritance finally happens, the liquidity problem doesn't disappear; it just transfers to the next generation.

Nansen co-founder Alex Svanevik describes the coming situation as a "tsunami." He stated in January 2026 that about $100 trillion will be inherited over the next 20 years, and the force driving these funds into cryptocurrency is structural, not speculative. He estimates that if just 3% of these inherited assets flow into crypto, its market cap could double from its current size.

3% sounds small? Consider who is inheriting: According to a recent OKX survey, Gen Z trusts cryptocurrency five times more than Baby Boomers do. Millennials already hold more digital assets than their parents. We don't need to convince them crypto is real; they grew up using it the way previous generations used savings accounts. What they need is for inherited wealth to meet them in a form they understand.

This is the gap. And "Tokenisation" is the bridge.

Real World Asset (RWA) tokenization means representing ownership of a physical asset on a blockchain. Once tokenized, ownership can be fractionalized, transferred without intermediaries, held in a wallet, used as collateral, or traded without requiring consensus from all stakeholders. Friction costs that were once prohibitive become manageable.

Specifically for inheriting property, tokenization solves four currently intractable problems:

  1. Liquidity: Tokenized property can be sold partially. An heir who urgently needs $50,000 but holds a $500,000 share of a house can sell 10% of their ownership instead of being forced to sell the entire house or get nothing. This also makes borrowing against it much simpler, as the underlying asset is liquid, allowing lenders to underwrite more easily.

  2. Distribution: When four siblings inherit a property, tokenization allows each to digitally hold their exact share, enabling them to trade, sell, or keep it independently without requiring unanimous agreement on the disposition of the physical asset. When ownership is "programmable," the legal disputes that currently drain estates are significantly simplified.

  3. Liquidity/Mobility: Tokenized property can sit in a portfolio alongside stocks, crypto, and other assets. It can be managed remotely, transferred across borders, and eventually used as collateral in DeFi (Decentralized Finance) protocols. The "geographic lock" of real estate ceases to be a constraint on the heir's financial flexibility.

  4. Access: For heirs who can't afford a house but are destined to inherit one, tokenization allows for early participation. For younger members receiving smaller inheritance shares, fractional ownership allows them to hold a piece of a physical asset without being forced to liquidate immediately.

The market is already moving in this direction. By early 2026, the total value of tokenized real-world assets had reached $26 billion in on-chain assets and $388 billion in represented assets, with strong growth momentum. While real estate currently represents a small portion of this, the infrastructure being built—wallets, on-chain settlement, programmable ownership—is far more functional than it was just two years ago. Svanevik points out that the products Nansen is building today couldn't have existed two years ago because the underlying infrastructure wasn't ready. Now, it is.

This doesn't mean tokenization solves the housing affordability crisis. Prices won't drop just because ownership becomes more portable. The structural problems of the market—constrained supply, rate lock-in, the long-term decoupling of prices from wages—remain. And it's uncertain whether "financializing" the last non-liquid asset most families own improves their lives or just makes their troubles more tradable.

Tokenization solves a more specific, more urgent problem. It's about what happens when $25 trillion in housing wealth transfers from a generation accustomed to storing everything in real estate to a generation that believes wealth should be liquid, digital, and not tied to a specific physical address.

Currently, the tools for accessing home equity are broken for most holders. Cash-out refinancing means giving up a 3% rate for a 7% rate. Home Equity Lines of Credit (HELOCs) require income verification that retirees often can't provide. Reverse mortgages carry 30 years of stigma and create complex inheritance issues. Selling triggers both tax traps and rate resets. Every option comes at a cost the holder can ill afford.

The wealth transfer is already happening, at a rate of about $1.5 trillion per year and accelerating. The first Millennials will turn 45 in 2026. JPMorgan, BlackRock, and Franklin Templeton have all entered the tokenized asset space in the last two years, building infrastructure for this moment. Robinhood CEO Vlad Tenev wrote last year that this wealth transfer is happening alongside a technological shift that will make the coming years critical.

This generation inheriting wealth sees financial assets not as papers in a filing cabinet, but as digits living in a mobile wallet.

The real obstacle is that the current system for transferring title still relies on paper documents, on intermediary steps—a language they no longer think in.

Every generation accumulates wealth in the language it knows. The next generation must translate it before it can inherit it.


Twitter:https://twitter.com/BitpushNewsCN

Bitpush TG Discussion Group:https://t.me/BitPushCommunity

Bitpush TG Subscription: https://t.me/bitpush

Original link:https://www.bitpush.news/articles/7616852

Domande pertinenti

QWhat is the estimated value of assets expected to be transferred from older to younger generations over the next 25 years, and why is this transfer problematic?

AThe estimated value is $124 trillion. This transfer is problematic because a significant portion of these assets are illiquid real estate. The inheriting generation faces challenges with properties that are emotionally burdensome, legally complex, difficult to utilize practically, and hard to divide or sell partially.

QHow did the role of housing change for the middle class from the 1960s to the present, according to the article?

AHousing changed categories. It initially served as shelter and a place to live but gradually became the primary financial instrument for the American middle class. For families outside the high-income bracket, a house is not just one asset among many; it is often their only significant asset, representing the largest portion of their net worth.

QWhat are the four main problems with inheriting real estate that tokenization aims to solve?

ATokenization aims to solve: 1) Liquidity: Allows for partial sales of ownership. 2) Distribution: Enables clean, digital division of ownership among multiple heirs without requiring unanimous decisions. 3) Portability: Allows the asset to be held in a digital portfolio, managed remotely, and used as collateral. 4) Access: Allows those who cannot afford a whole house to gain exposure to real estate assets through fractional ownership.

QWhat structural reasons does the article give for why 61% of baby boomers say they will never sell their homes?

ASelling would trigger high capital gains taxes on decades of appreciation, reset their low mortgage rates (e.g., 3%) to current high rates (e.g., 7%), potentially cause property taxes to skyrocket (as in California), and there is a lack of affordable smaller homes for them to downsize into.

QAccording to Alex Svanevik, what potential impact could the 'Great Wealth Transfer' have on the cryptocurrency market?

AAlex Svanevik estimates that if just 3% of the inherited assets (approximately $100 trillion over 20 years) flows into cryptocurrency, the market capitalization of crypto could double from its current size. This is driven by structural factors, as the inheriting generations (Millennials and Gen Z) are far more trusting and familiar with digital assets like crypto.

Letture associate

The Essence of AI Layoffs: Why More AI Adoption Leads to More Corporate Anxiety?

The author, awaiting potential inclusion on an 8000-person layoff list, analyzes the true nature of recent "AI-driven" layoffs. They argue that while AI use, particularly tools like Claude for code generation, has skyrocketed and boosted developer output (e.g., 2-5x more code commits), this has not translated into proportional business growth or revenue. The core issue is a misalignment between increased "Input" (code) and tangible "Outcomes" (user value, revenue). AI acts as a costly B2B SaaS, inflating operational expenses without guaranteed returns. Two key problems emerge: 1) The friction that once filtered out bad ideas is gone, as AI allows cheap pursuit of even weak concepts. 2) Organizational "alignment tax"—the difficulty of coordinating across teams—becomes crippling when development velocity outpaces consensus-building. Thus, layoffs serve two immediate purposes: 1) To offset ballooning AI costs (Token consumption) and maintain cash flow, as rising input costs without outcome growth destroys unit economics. 2) To reduce organizational bloat and alignment friction by simply removing teams, thereby speeding up execution in the short term. Therefore, these layoffs are fundamentally caused by AI, even if AI doesn't directly replace roles. They represent a painful correction until companies learn to convert AI-driven productivity into real business outcomes and streamline organizational coordination to match the new pace of work. The cycle will continue until this learning curve is mastered.

marsbit30 min fa

The Essence of AI Layoffs: Why More AI Adoption Leads to More Corporate Anxiety?

marsbit30 min fa

Can the Solana Foundation and Google's Collaboration on Pay.sh Bridge the Payment Link Between Web2 and Web3 in the Agent Economy?

Solana Foundation, in collaboration with Google Cloud, has launched Pay.sh, a payment gateway designed to bridge the gap between AI agents and enterprise-grade service infrastructure. The initiative aims to solve a key bottleneck in the "agent economy": existing payment systems are ill-suited for autonomous AI agents. Traditional methods like credit cards require human verification, while newer on-chain protocols like x402 and MPP create a separate, Web3-native system that raises barriers for service providers. Pay.sh functions as a universal payment layer. It allows users to fund a Solana wallet via credit card or stablecoin, which then acts as an identity and payment proxy for AI agents. When an agent needs to access a paid API service (e.g., Google Cloud, Alibaba Cloud), Pay.sh handles the transaction seamlessly. It leverages the HTTP 402 status code ("Payment Required") to initiate payments, intelligently choosing between one-time transfers (x402-style) or session-based authorizations (MPC-style) based on the service's billing model. This spares agents from manual account registration and API key management. A key feature for service providers is low integration effort. They can adopt Pay.sh by providing a declarative configuration file, enabling features like tiered pricing, free tiers, and automatic revenue splitting to multiple addresses (e.g., for royalties, cloud costs). Providers can also list their APIs in a central Pay Skill Registry for agent discovery. The collaboration with Google Cloud provides crucial infrastructure for API proxying, traffic routing, and compliance logging, aiming to keep agent activities within regulated boundaries. By connecting Web2 services with Web3 payment rails, Pay.sh positions the Solana wallet as a foundational identity and payment tool for AI agents, potentially driving more transaction volume to the Solana ecosystem. However, the report notes challenges. The service registry currently lacks robust vetting, risking exposure to unauthorized or malicious third-party APIs. Pay.sh also inherits security and compatibility risks from its underlying payment protocols (x402, MPC). Furthermore, adoption may be hindered by varying regional data privacy and payment compliance regulations among API providers. Despite these hurdles, Pay.sh represents a significant step towards integrating Web2 and Web3 for autonomous agent commerce.

marsbit37 min fa

Can the Solana Foundation and Google's Collaboration on Pay.sh Bridge the Payment Link Between Web2 and Web3 in the Agent Economy?

marsbit37 min fa

Bitcoin's Bull-Bear Cycle Indicator Turns Positive for the First Time in 7 Months: End of Bear Market or False Breakout?

Bitcoin's "Bull-Bear Market Cycle Indicator" from CryptoQuant has turned positive for the first time since October 2025. This gauge, based on the P&L Index relative to its 365-day moving average, suggests a potential shift from a bear market phase. Concurrently, the Bull Score Index rose to a neutral reading of 50 in late April. The indicator's move into positive territory follows a roughly 35% price rebound from a low near $60,000 in February to above $81,000. The recovery over approximately three months was faster than the 12-month period observed during the 2022 bear market. However, analysts caution against premature optimism, citing a historical precedent from March 2022. Back then, the Bull Score Index briefly hit 50, but it proved to be a false signal as Bitcoin's price subsequently plunged further. Structural differences exist in the current cycle, including consistent inflows into spot Bitcoin ETFs and an increase in large holder addresses. Yet, some models, referencing the four-year halving cycle, suggest a potential deeper bottom near $50,000 might still be possible around late 2026. In summary, while on-chain data shows marked improvement and the worst panic may be over, market participants remain cautious. A convincing trend reversal confirmation likely requires Bitcoin to sustainably break above key resistance, such as the 200-day moving average near $82,000.

marsbit44 min fa

Bitcoin's Bull-Bear Cycle Indicator Turns Positive for the First Time in 7 Months: End of Bear Market or False Breakout?

marsbit44 min fa

How to Automate Any Workflow with Claude Skills (Complete Tutorial)

This is a comprehensive guide to mastering Claude Skills, a feature for creating permanent, reusable instruction sets that automate specific workflows. Unlike simple saved prompts, Skills function like trained employees, delivering consistent, high-quality outputs by defining the entire task process, standards, error handling, and output format. The guide is structured in four phases: **Phase 1: Installation (5 minutes).** Skills are folders containing a `SKILL.md` file. The user is instructed to find a relevant Skill online, install it, test it on a real task, and compare its performance to one-off prompts. **Phase 2: Building Your First Custom Skill.** Start by rigorously defining the Skill's purpose, trigger phrases, and providing a concrete example of perfect output. The `SKILL.md` file has two parts: a YAML frontmatter with a specific name/description/triggers, and a detailed, step-by-step workflow written in natural language with examples and quality standards. **Phase 3: Testing & Optimization for Production.** Test the Skill in three scenarios: 1) a standard, common task; 2) edge cases with missing or conflicting data; and 3) a pressure test with maximum complexity. Any failure indicates a needed instruction. Implement a weekly optimization cycle to continuously refine the Skill based on real usage. **Phase 4: Building a Complete Skill Library.** The goal is to create a team of Skills for all repetitive tasks. Examples are given for industries like real estate, marketing, finance, consulting, and e-commerce. The user should list their tasks, prioritize them, and build one new Skill per week, maintaining a master document to track their library. The conclusion emphasizes the compounding time savings: ten Skills saving 30 minutes each per week reclaims over 260 hours (6.5 work weeks) per year, fundamentally transforming one's work system.

marsbit1 h fa

How to Automate Any Workflow with Claude Skills (Complete Tutorial)

marsbit1 h fa

Trading

Spot
Futures
活动图片