Crypto Will Be Unrecognizable in Two Years

Crypto After Crypto: How Institutions and AI End One Era of Crypto and Start Another

Taylor Swift: The End of an Era

Something shifted in the last twelve months and most of the market hasn’t caught up.

I’ve spent the last decade inside crypto - as founding director at Binance Labs, as an early-stage investor and builder across multiple cycles, and now building a fund deployed across Asia, the Middle East, and the US. I’ve seen every version of this industry: the ICO mania, the DeFi summer, the NFT bubble, the contagion collapses. Each cycle felt different at the time but ran on the same engine - speculative capital chasing narrative tokens.

That engine is dying. Not because crypto failed. Because it worked. And the thing that replaced it will reshape this industry more fundamentally than anything since Bitcoin.

Two structural forces are converging simultaneously: institutional capital entering through stablecoins, and AI collapsing the cost of everything crypto builds. Together, they don’t just change which tokens win. They change what crypto is.

The Institutional Shift: Stablecoins Eat the Game

Here is what most crypto natives haven’t internalized: the largest wave of capital ever to enter this industry will not buy tokens. It will use stablecoins.

Stablecoins are now settling trillions annually. They are the first crypto product that institutions, corporations, and governments actually want - not as speculation but as infrastructure. When a multinational routes treasury operations through stablecoin rails, when a remittance corridor switches from SWIFT to USDC, when a neobank offers stablecoin-denominated savings accounts to underbanked populations in Southeast Asia - that is real economic activity moving onchain. Not TVL farming. Not governance token speculation. Revenue.

This changes the entire value chain. The winners in this new regime aren’t protocols with clever tokenomics. They’re licensed businesses with regulatory moats. Stablecoin issuers, compliance middleware providers, licensed neobanks, settlement infrastructure - these are the companies capturing the largest share of the institutional wave. They look boring by Crypto Twitter standards. They’ll generate the most durable returns of the next decade.

And the moat for these businesses isn’t technology. It’s regulation.

This is the part crypto natives consistently underestimate. In the old crypto, moats came from liquidity, network effects, and community. In the new crypto, the deepest moat is a license. Every jurisdiction that finalizes stablecoin rules, tokenization frameworks, or digital asset banking regulations creates a window - typically 12 to 18 months - where the first licensed operators build advantages that latecomers cannot replicate at any cost. Customer relationships, banking partnerships, compliance infrastructure, regulatory trust - none of these can be forked or coded by your agents. By the time a competitor gets licensed in the same jurisdiction, the incumbents have already locked in the distribution.

This is happening jurisdiction by jurisdiction, not globally. MiCA in Europe, the stablecoin frameworks emerging in Singapore and the UAE, Korea’s Digital Asset Basic Act, and now the regulatory architecture being shaped in Washington - each creates a distinct licensing moat in a distinct market. The companies positioned to win are the ones treating regulation not as an obstacle but as a strategic asset. They’re hiring former regulators, not just engineers. They’re shaping frameworks, not just complying with them. Policy adjacency - the ability to influence the rules as they’re being written - is the most valuable and least understood competitive advantage in crypto today.

The native token-pumping playbook - launch token, attract TVL, pump through narrative, extract through unlocks - is ending because the capital entering the system doesn’t play that game. Institutional allocators want yield, compliance, and predictable revenue. They don’t want governance rights to a protocol that might get forked next quarter.

As real cashflows move onchain, tokens inevitably become equity-like. When a protocol has genuine revenue and routes fees to token holders, the token stops being a speculative instrument and starts being a machine-legible ownership claim on a real business. This is the convergence. Not tokens replacing equity. Not equity replacing tokens. Both collapsing into the same thing: programmable, composable, instantly settleable claims on real economic activity. The wrapper stops mattering. What matters is that the business underneath generates cash, and the claim on it is readable by software.

The same licensing moat applies to tokenization platforms. When equities, bonds, and structured products move onchain, the platforms that tokenize them won’t be permissionless protocols. They’ll be licensed securities intermediaries operating under specific regulatory frameworks in specific jurisdictions. The infrastructure is crypto-native. The business model is TradFi-grade. And the moat, again, is the license, not the code.

Crypto spent the last decade building rails for moving value. But the rails have yet to be built for moving identity, expertise, and authorization. That’s the gap - and that’s where the next wave of infrastructure gets built. The teams that figure out credentialed identity, machine-verifiable compliance, and portable expertise as onchain primitives are building the layer that connects institutional finance to autonomous AI. Neither side can function better without it.

The AI Shift: Building Gets Cheap, Verification Gets Precious

The second force is AI, and its effects on crypto are more profound than the “AI x crypto” narrative suggests.

Start with the obvious: AI has collapsed the cost of building any software. Spinning up an L2, deploying a smart contract suite, launching a DeFi primitive - all of this now takes days instead of months and a fraction of the engineering team it once required. The implication is brutal for existing infrastructure: when supply is nearly infinite, premiums evaporate. The 100+ Blockchains already live will compress to utility-grade margins. Infrastructure that once commanded $1-5B fully diluted valuations will be repriced to what it actually earns. The venture playbook of “fund infra, ride narrative premium, exit to retail” is structurally broken.

But AI does something else entirely, and this is where crypto becomes essential rather than optional.

When AI agents can generate unlimited transactions, content, identities, and interactions, the cost of faking anything approaches zero. Spam becomes indistinguishable from signal. Bot activities become indistinguishable from human activity. The only way to establish trust in a world of infinite machine-generated noise is cryptographic proof.

Zero-knowledge technology goes from niche scaling solutions to required infrastructure. Privacy-preserving credentials go from academic research to the authentication layer for every system where AI participates. If you can’t prove - without revealing your underlying data - that you are who you claim to be, that your transaction is authorized, that your agent is credentialed, you can’t participate.

This is the most underappreciated thesis in crypto right now: ZK and privacy tech aren’t privacy plays. They’re the trust layer for the AI economy.

Where the Two Forces Meet: Tokens as the Operating Layer for Machines

Here is where institutions and AI converge, and where I think the deepest opportunity sits.

AI agents are starting to transact autonomously. Coinbase just launched wallets designed specifically for AI agents. The x402 protocol enables machine-to-machine payments. Autonomous systems are beginning to hold assets, execute trades, pay for compute, and interact with financial services without human intervention.

These agents need three things to operate.

It needs to prove who it is (Identity). Not with a username -- with a cryptographic credential that a counterparty can verify in milliseconds without seeing the underlying data. Who does this agent represent? What jurisdiction is it operating in? What’s it authorized to do? If you can’t answer those questions with programmable proof, you’re back to centralized databases and manual review. That doesn’t scale when millions of agents are transacting simultaneously.

It needs to hold and move assets that software can read (Programmable Assets). Stablecoins proved money can be programmable and settle instantly. That same logic extends to treasuries, equities, credit, structured products. The agent doesn’t care if it’s holding USDC or a tokenized T-bill. It cares that the terms are readable, the rules are programmable, and settlement is deterministic.

And it needs to know whether what it’s about to do is legal (Credentials). Today, compliance lives in human judgment and legal documents. It needs regulation encoded as machine-verifiable attestations - KYC status, licensing, jurisdictional permissions, risk limits. The only way to deliver that at scale is cryptographic proof, not centralized APIs.

This is where the two shifts I’ve been describing actually collide. Institutions are pushing financial assets onchain because programmable infrastructure cuts settlement risk and operational friction. AI is pushing economic activity toward autonomous execution. When those two forces meet, the financial object itself has to become software.

Machines don’t buy tokens to speculate. They consume tokens to operate. That creates a fundamentally different demand curve than the one crypto has experienced historically. Retail speculation is cyclical. Narrative-driven capital rotates. Machine consumption is tied to the volume of autonomous economic activity. As AI systems automate more decision-making, more trading, more procurement, more coordination, the requirement for machine-readable financial objects scales with it.

What This Means for Where We’re Deploying

I’m not writing this as abstract analysis. This is where my new fund is actively investing.

The old crypto game was: find the narrative, front-run the token, exit before the unlock. The new game is: identify the licensed infrastructure layer that captures stablecoin flows, build the machine-legible primitives that agents need to transact, and invest in the jurisdictions where regulatory frameworks are crystallizing first.

The companies that win this next era will look nothing like the projects that defined the last one. They’ll have licenses, not just liquidity. Revenue, not just TVL. Regulatory moats, not just network effects. They’ll be boring by the standards of people who came up trading memecoins. They’ll be generational by the standards of people who allocate institutional capital.

The token-pumping era gave crypto its start. Institutions and AI will give it its future. The transition between those two eras is happening right now, and it’s happening faster than most participants realize.

The speed of this shift is the story nobody’s fully told yet. Consider this a first draft.