TL;DR: Tokenization turns real-world assets like stocks and bonds into digital tokens on a blockchain. Coinbase is building an “everything exchange” where crypto, stocks, prediction markets, and commodities trade on the same rails. For AI agents, this means one wallet, one infrastructure stack, and access to every asset class.
What Just Happened
In December 2025, Coinbase CEO Brian Armstrong announced the company’s most aggressive product expansion in its 13-year history. The plan: transform Coinbase from a crypto exchange into an “everything exchange” — a single platform where users trade crypto, stocks, prediction markets, futures, and commodities under one roof.
The centerpiece of this strategy is tokenization. Coinbase announced Coinbase Tokenize, an institutional platform for converting real-world assets — starting with equities — into blockchain-based tokens that can be traded 24/7 on Base, Coinbase’s Ethereum Layer 2 network. Prediction markets, powered by a partnership with CFTC-regulated Kalshi, rolled out in the same update. Stock trading launched alongside it.
The message from Armstrong was blunt: “In time, we believe everything will be tokenized.”
He is not alone. BlackRock CEO Larry Fink — who manages $10 trillion in assets — used his 2025 annual letter to investors to make the same case. Fink described tokenization as a shift equivalent to moving from postal mail to email, arguing that every stock, bond, and fund can and eventually will be tokenized.
As of March 2026, the numbers are backing them up. Tokenized real-world assets have reached approximately $23 billion, with tokenized US Treasuries alone at $11 billion. Monthly transfer volumes for tokenized equities climbed roughly 76% over the prior 30 days to about $2.46 billion. Ripple and Boston Consulting Group project the tokenized asset market could reach $18.9 trillion by 2033.
This is not speculative anymore. It is infrastructure being built in production.
What Is Tokenization? (In Plain English)
If you already trade prediction markets, you understand tokenization intuitively — you just might not know it.
When you buy a YES share on Polymarket for “Will the Fed cut rates in March 2026?”, you are buying a digital token. That token represents a claim: if the event happens, your token is worth $1. If it does not, it is worth $0. The token lives on a blockchain (Polygon, in Polymarket’s case). You can buy it, sell it, hold it, or transfer it — all without a bank, a broker, or a two-day settlement wait.
Tokenization applies this exact same idea to everything else.
A tokenized stock is a digital token on a blockchain that represents ownership of an actual share of a company. One token equals one share. It is issued by a regulated entity and backed 1:1 by the real stock. But because it lives on a blockchain instead of in a brokerage’s database, it inherits all the properties that make crypto useful: it can be traded 24 hours a day, 7 days a week. It settles in seconds, not two business days. It can be divided into fractions — you could own $5 worth of a $3,000 stock. And it can be programmed with smart contracts that automate dividends, voting rights, and compliance.
A tokenized bond works the same way. Instead of a certificate sitting in a custodian’s vault, the bond exists as a token on-chain. The coupon payments can be automated via smart contract. The settlement is instant.
Tokenized real estate splits property ownership into tokens. Instead of needing $500,000 to buy a building, you could buy $500 worth of tokens that represent fractional ownership.
The common thread: tokenization takes assets that currently exist in slow, fragmented, intermediary-heavy systems and puts them on a shared blockchain ledger where they become faster, cheaper, and programmable.
Here is the simplest mental model: if a prediction market contract is a token that represents a bet on an event, a tokenized stock is a token that represents ownership of a company. Same rails. Same wallets. Same infrastructure.
Why Coinbase Is Going All-In
Coinbase’s “everything exchange” strategy is not just about adding product lines. It is about collapsing the walls between asset classes so they all trade on the same infrastructure.
Today, if you want to trade crypto, you use Coinbase. If you want to trade stocks, you use Robinhood or a brokerage. If you want to trade prediction markets, you use Polymarket or Kalshi. Each platform has its own accounts, its own settlement systems, its own wallets, and its own timelines. Moving money between them takes time and costs fees.
Coinbase’s bet is that tokenization eliminates this fragmentation. When stocks are tokens and prediction markets are tokens and bonds are tokens — and they all live on the same blockchain (Base) — then a single app can offer access to every asset class with unified settlement, one account, and one balance.
As of March 2026, Coinbase has already started executing this:
- Crypto trading — the core product, now supporting millions of tokens across Base and Solana
- Stock trading — launched with hundreds of top stocks, zero commission, 24/5 trading hours, fractional shares from $1
- Prediction markets — rolled out via Kalshi, with event contracts on elections, sports, economics, and more
- Tokenized equities — Coinbase Tokenize is being built to bring stocks fully on-chain on Base
- Agentic Wallets — the wallet infrastructure that lets AI agents transact autonomously using the x402 payment protocol
The last item is what makes this story relevant to everything AgentBets.ai covers.
The Agent Infrastructure Angle: Why This Changes Everything
Here is the insight that no sportsbook review site and no generic crypto publication is going to connect: the same agent wallet infrastructure that trades prediction markets can trade tokenized stocks, bonds, and every other tokenized asset.
Consider what exists today in the agent betting stack:
- Layer 1 — Identity: An agent registers on Moltbook, authenticates via SIWE, and builds on-chain reputation through EAS attestations. This identity is asset-class agnostic. It works for prediction markets. It will work for tokenized equities.
- Layer 2 — Wallet: A Coinbase Agentic Wallet with session caps, contract allowlists, and spending limits. Today it holds USDC and trades on Polymarket’s CLOB. Tomorrow, on the same Base network, it can hold tokenized Apple stock, a tokenized Treasury bond, and a Kalshi event contract — all in one wallet.
- Layer 3 — Trading: The Polymarket API and Kalshi API are the trading layer for prediction markets. Tokenized equities on Base will have their own APIs. But because they are all ERC-20 compatible tokens on the same chain, a unified trading interface becomes possible — and an agent can route between them.
- Layer 4 — Intelligence: An agent’s LLM reasoning layer (Claude, GPT, fine-tuned models) analyzes data to make trading decisions. Today, it analyzes prediction market odds. With tokenized assets on the same rails, the same agent can analyze correlations between a “Will the Fed cut rates?” prediction contract and the actual bond market — and trade both.
The practical implication: an AI agent with a single Coinbase Agentic Wallet could:
- Detect that a Polymarket contract pricing a Fed rate cut at 62% is mispriced relative to the Treasury yield curve
- Buy YES shares on the Polymarket contract via the CLOB API
- Simultaneously sell a tokenized Treasury ETF position on Base as a hedge
- Settle both trades in seconds on the same blockchain
- All through one wallet, one identity, one set of spending controls
This is not possible in today’s fragmented system. It requires moving between Polymarket (Polygon), a brokerage (T+2 settlement), and potentially a derivatives exchange — three accounts, three KYC processes, three settlement timelines. Tokenization on a single chain collapses all of that into one transaction flow.
Cross-Asset Arbitrage: The Killer Use Case
The highest-value opportunity for AI agents in a tokenized world is cross-asset arbitrage — exploiting price discrepancies between prediction markets and the traditional assets they reference.
Prediction market contracts are, fundamentally, instruments that price the probability of real-world events. Those events often directly impact traditional financial assets. A prediction contract on “Will NVIDIA beat Q2 earnings?” has a direct relationship with the price of NVIDIA stock. A contract on “Will the EU approve the agricultural tariff?” correlates with European commodity futures.
Today, exploiting these relationships requires an agent to operate across multiple disconnected platforms. The cross-market arbitrage guides on AgentBets.ai already document how agents arbitrage between sportsbooks and prediction markets. Tokenization extends this to every financial asset.
When stocks, bonds, and prediction contracts live on the same blockchain, an agent can:
- Monitor prediction market prices and correlated tokenized asset prices in a single data stream
- Detect mispricings in real time via the same WebSocket connection
- Execute both legs of an arbitrage trade atomically — in a single blockchain transaction, so there is no leg risk
- Use the same wallet security controls (session caps, loss limits, contract allowlists) across all positions
The speed advantage is enormous. Traditional equity markets settle in T+2 (two business days). Blockchain settlement is near-instant. An agent that can settle both sides of a cross-asset trade in seconds has a structural edge over any human or institutional trader waiting on legacy infrastructure.
What This Means for Builders
If you are building prediction market agents today, the tokenization wave means your infrastructure decisions have broader implications than you might think.
Your wallet choice is your multi-asset strategy. A Coinbase Agentic Wallet on Base is not just a prediction market wallet — it is a wallet that will be able to hold every tokenized asset Coinbase supports. If you are already building on the Coinbase wallet stack, you are automatically positioned for tokenized equities when they launch.
Your identity layer is asset-class portable. The agent identity infrastructure — Moltbook registration, SIWE authentication, EAS attestations — works for any on-chain asset. An agent’s verified trading history on Polymarket becomes a credential that carries weight when it starts trading tokenized stocks. Reputation is portable across asset classes.
Your trading logic is the differentiator. The infrastructure is converging. Wallets, identity, settlement — these will become commodity layers. The intelligence layer (Layer 4 of the agent betting stack) — the LLM reasoning, the strategy, the cross-asset analysis — is what separates profitable agents from the rest. Agents that can reason across prediction market probabilities AND correlated financial asset prices will have a structural advantage.
The marketplace opportunity expands. Today, AgentBets.ai lists agents that trade prediction markets. In a tokenized world, the same marketplace can list agents that trade across asset classes — prediction market arbitrage agents that also manage tokenized equity positions, or multi-asset portfolio agents that allocate between event contracts and Treasury tokens based on macro conditions.
The Timeline
Tokenization is not arriving all at once. Here is the practical sequence as of March 2026:
Already live: Coinbase prediction markets (via Kalshi) and stock trading are in the main app. Users can manage crypto, stocks, and event contracts from one interface. Tokenized equities are not yet on-chain, but the UI unification is done.
Coming in 2026: Coinbase Tokenize launches for institutional issuance of tokenized assets on Base. Tokenized stocks become tradeable on-chain. The SEC’s emerging framework under Chairman Paul Atkins and “Project Crypto” is expected to provide regulatory clarity for tokenized securities.
2026–2027: As tokenized asset liquidity grows on Base, the same APIs and wallet infrastructure used for prediction markets will gain endpoints for tokenized equities, bonds, and commodities. Agent builders who are on the Coinbase stack today will get multi-asset trading capability without changing their wallet or identity layer.
2027 and beyond: If BlackRock, Coinbase, and the rest of the industry are right, the distinction between “crypto” and “traditional finance” dissolves. Everything is a token on a blockchain. Settlement is instant. Markets never close. And AI agents, operating through wallets like Coinbase Agentic with protocols like x402, become the primary execution layer for a unified global market.
The Bottom Line
Tokenization is prediction markets applied to all of finance. The same mental model — digital tokens representing claims on real-world outcomes, traded on a blockchain — extends from “Will the Fed cut rates?” to “Own 0.1 shares of Apple” to “Hold $500 of a tokenized Treasury bond.”
For AI agent builders, this is the most important infrastructure shift since prediction markets went mainstream. The wallet, identity, and trading stack you build for prediction markets today is the stack you will use for every asset class tomorrow. The agents that win will be the ones that treat all tokenized assets — prediction contracts, stocks, bonds, commodities — as a single, unified trading surface.
Coinbase is building the exchange layer. BlackRock is building the asset layer. The agent infrastructure layer is being built now, by the builders reading this.
Browse the AgentBets marketplace for agents already trading on the infrastructure that tokenized assets will run on.