The Clarity Act is coming: How real estate tokenization unlocks $40 trillion in dead equity

The real estate industry is preparing for the wrong disruption.

For two years, brokerages, MLSs and trade groups have been consumed by the AI conversation. What tools to buy. Which workflows to automate. How to compete with ChatGPT-native upstarts. It’s a legitimate conversation, but it isn’t the one that’s about to redefine the business.

The conversation that matters is about tokenization, and it’s running on a much shorter clock than most of the industry realizes.

We recently sat down with Pavan Agarwal, CEO of Sun West Mortgage and parent company Celligence, for a long-form interview on Real Estate Coaching Radio. What he laid out should be required reading for anyone running a brokerage, mortgage shop or title operation. His core claim is that by the end of the decade, less than four years from now, tokenized real estate trading will be as ubiquitous as Amazon shopping. The legislation that enables it is expected to pass before the midterm elections. The technology is already built.

$40 trillion in dead equity

American homeowners are sitting on roughly $40 trillion in home equity. That number is equal to the entire U.S. federal debt. Today, almost all of it is locked up. The only ways to access it are to sell the home, refinance into a higher rate or take a HELOC at rates approaching 9%.

The Clarity Act, currently working its way through Congress, changes the legal framework that has kept that capital frozen.

In plain terms, the bill makes it legal to tokenize any U.S. asset, including real estate. A homeowner with $400,000 in equity could sell $50,000 of it as fractional tokens, receive the cash and pass a corresponding share of future appreciation to the token holders when the home eventually sells. No REIT registration. No securities filings. No HELOC. No monthly payment.

Agarwal estimates that unlocking even a portion of that $40 trillion, combined with the roughly $15 trillion in economic activity AI is projected to add to the U.S. economy over the next five years, would inject $55 trillion of new capital into circulation. That’s a number large enough to reprice every consumer-facing financial product in the country.

Act Two of a two-bill strategy

The Clarity Act isn’t arriving in isolation. The Genius Act, which passed last summer, authorized U.S. dollar stablecoins. The two pieces are designed to work together. Stable U.S. dollars on-chain combined with tokenized U.S. assets gives the country a complete on-chain settlement system for anything of value.

According to Agarwal, the infrastructure for tokenized real estate is already built and operational in private hands. He referenced families and tech firms that have been engineering tokenization platforms for years, waiting on the regulatory framework to flip the switch.

The lobbying opposition has not come from the National Association of Realtors or any mortgage trade group. It has come from the American Bankers Association, which has fought both bills aggressively. The reason is structural. A consumer whose wealth lives in a self-custodied wallet doesn’t need a savings account, a mutual fund or a bank’s blessing to deploy capital. Tokenization is an existential threat to the deposit-based banking model. It’s also an enormous opportunity for the real estate ecosystem.

What tokenization breaks, and what it builds

Tokenization doesn’t only unlock equity. It rewrites the entire transaction stack.

On down payments, buyers short on cash will be able to sell fractional tokens in a property to investors at closing. Sun West already offers a product in this direction. The Clarity Act takes that mechanic from a niche product to a mass-market financing pattern.

Title insurance is in trouble. On-chain settlement is trustless and happens instantaneously. Chain of custody is publicly verifiable. Closing protection letters, settlement agents, and escrow holds all collapse into a few clicks. Agarwal was direct about it: title insurance, as currently structured, is cooked.

PMI becomes optional for any buyer whose token-funded down payment reaches the 20% LTV threshold.

Borrowing against real estate could become as cheap as borrowing against a brokerage account, with pricing closer to SOFR plus 5 than to today’s HELOC rates.

And then there’s liquidity. Houses can be bought and sold sight unseen the way stocks are today. With AI-driven valuation, comprehensive public data, and disclosures embedded directly in the token, institutional capital from any market can take a position in any zip code with the click of an exchange order.

Agarwal pointed to Signature Bank as proof of concept. Before being seized by federal regulators, the bank had built an on-chain settlement network handling more than $100 billion per month in global trade settlements, on pace for $1 trillion. The technology worked. What didn’t survive was the institutional resistance.

Why this CEO is worth listening to

Agarwal’s tokenization thesis carries weight because he has already executed the impossible version of this story once.

Sun West closes every loan above a 620 credit score, which is most of the conforming market, without any human intervention. From application to wire, the AI runs the file. There are no traditional processors, closers or operations staff. The remaining headcount consists of engineers, data scientists, and customer service.

Sun West has been operating this way for seven years. Out of more than 200,000 transactions processed through the platform, AI-issued loan approvals have produced losses on four files. The company stands behind every AI approval with its own balance sheet, a structure Sun West introduced years before the rest of the industry began debating whether AI could safely participate in underwriting at all.

Celligence, the parent entity, was building agentic AI architecture and coined internal terminology for AI agents (they called them “cells,” which is where the company name comes from) as far back as 2012. While most of the lending and real estate industry has spent the last 24 months evaluating AI tools, Sun West has been running production agentic AI in regulated mortgage workflows since 2018.

Reliability gap

A January MIT report on agentic AI identified what researchers are calling a “reliability gap.” When one AI agent’s output becomes another agent’s input, errors compound across the chain. The recent headline about a company whose agentic AI deleted its production database isn’t an outlier. It’s a foreseeable failure of poorly architected agent systems.

The implication for brokerages and lenders is that AI isn’t really a tool you buy. It’s a system you have to engineer, monitor, and retrain. Firms approaching it as a software purchase are at significant risk of joining the 50% that roll back next year.

The Jevons paradox debate: fewer agents, or more?

This was the most contested point of the interview, and the answer matters for every brokerage doing recruiting and retention planning right now.

Agarwal’s initial position was that the agent population shrinks dramatically and what remains is a smaller cohort of “super agents” running massive transaction volumes with AI-assisted operations.

We pushed back on that framing and the basis was Jevons paradox. When a resource or service becomes dramatically more efficient and cheaper, total consumption tends to rise, not fall. The same logic explains why radiologists, repeatedly forecast as the first profession AI would eliminate, are practicing in higher numbers than ever. It also explains why travel agents, who were supposedly extinct by 2010, have come back in a curated, advisory, experience-driven form.

The mechanics of the real estate business reinforce the point. Roughly 90% of agent business comes through past clients and centers of influence. That dynamic doesn’t get disrupted by AI. It gets amplified by it. When transaction friction drops, transaction volume rises. When AI handles the operational tail of every file, agents can serve more clients at a higher standard of communication, which is consistently the top driver of seller satisfaction in post-closing surveys.

Agarwal conceded the point on air. His revised position was that there will be a transition period with some commission compression and some dislocation as the industry moves off the standard commission, but the steady state will be more agents working at lower per-transaction margins and higher overall volume, with AI absorbing the operational load.

For brokerage leaders, that’s a meaningful distinction. This isn’t a headcount-reduction story. It’s a productivity-per-agent story. The agents who internalize AI workflows in 2026 and 2027 will absorb deal flow from agents who don’t. The total number of practicing agents may well grow.

The new moat: relationships and licensure

Two factors will determine which agents win the next cycle.

The first is relationships. AI commoditizes nearly every part of the transaction that isn’t direct human-to-human contact. Listing input, transaction coordination, lender communication, contract review, content production, lead routing. Agarwal’s phrasing was the clearest summary of the shift: services are becoming products because of AI.

What stays defensible is the agent-client relationship, the referral network and the interpersonal skill set. Rapport. Listening. Negotiation. These are the only assets an agent actually owns. Everything else is a feature in someone else’s software.

The second factor is licensure. AI cannot hold a real estate license. State licensing includes 50 different statutory frameworks, which is a regulatory moat that mortgage lending doesn’t have, because conforming agency loans can be underwritten by AI without a licensed human signing off. Until states change their laws, every real estate transaction in the United States requires a licensed human in the loop. That gives agents structural protection that radiologists, paralegals, and loan processors don’t enjoy.

What brokerages and agents should do now

Four practical actions emerged from the interview.

First, get fluent on the Clarity Act before it passes. Once tokenization becomes legal, sellers will start asking about monetizing equity without selling the home, and buyers will start asking about token-funded down payments. Agents who can have those conversations will keep their deal flow. Agents who can’t will lose it to the ones who can.

Second, audit transaction operations. Brokerages still running large manual operations teams for post-contract work are carrying cost structures that no longer match the capabilities of available technology. The competitive cost-per-transaction is dropping fast.

Third, invest in relationship infrastructure, not tool stacks. The defensible asset is the client base, not the CRM. AI should be used to amplify communication and presence, not to substitute for it.

Fourth, stop chasing specific tools. The interface layer is moving so fast that any specific tool you master today will be commodity by next quarter. The skills that actually compound are interpersonal capability and client trust, both of which transfer across every tool generation.

Agarwal characterized the current window as a “Mr. Beast moment” for real estate. The phrase refers to the breakout phase when an entire distribution channel gets reset and first movers establish positions that later entrants can’t dislodge. The framing fits. The Genius Act has passed. The Clarity Act is expected to pass within months. The technology is built. The capital is waiting.

The next four years will reorganize the industry. The agents, brokerages, and lenders who understand the regulatory shift and the technology stack underneath it will define the next decade of real estate. The rest will spend that decade explaining to their clients why they didn’t see it coming.

Tim and Julie Harris are co-founders of Tim & Julie Harris Real Estate Coaching and hosts of Real Estate Coaching Radio. A companion deep-dive on the full interview is available at Harris Real Estate Daily. Pavan Agarwal is CEO of Sun West Mortgage and Celligence, the parent of the Angel AI platform.

This column does not necessarily reflect the opinion of HousingWire’s editorial department and its owners.

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