The Convergence Thesis, Three Years Later
Three years ago, I wrote about the convergence of AI, crypto, and traditional finance. The convergence has happened — faster and more completely than I expected. AI agents transact on crypto rails. Banks issue stablecoins. Tokenised assets trade in DeFi protocols. A reflection on what converged, what surprised me, and what comes next.
The Convergence Thesis, Three Years Later
In late 2022, as the crypto market burned and the AI revolution was just beginning, I started developing what I called the convergence thesis — the idea that AI, crypto, and traditional finance would converge on shared infrastructure, creating products and services that none of the three could produce alone.
Three years later, the convergence has happened. Not perfectly. Not completely. But unmistakably.
What Converged
AI and crypto. AI agents are transacting on crypto rails — making payments, managing DeFi positions, and interacting with smart contracts autonomously. AI-powered compliance tools monitor on-chain activity for regulators and institutions. AI coding assistants are accelerating smart contract development. And decentralised compute networks are providing AI infrastructure through token-incentivised marketplaces.
Crypto and traditional finance. Banks issue stablecoins on public blockchains. BlackRock manages tokenised funds on Ethereum. Spot Bitcoin and Ethereum ETFs hold hundreds of billions in assets. DeFi protocols generate hundreds of millions in revenue from real-world assets. And the regulatory frameworks — MiCA, GENIUS Act, FIT21 — have formalised the integration.
AI and traditional finance. Every major financial institution uses AI for analysis, compliance, customer service, and risk management. AI coding assistants have transformed how financial software is built. And the productivity gains — measurable in reduced costs, faster execution, and better decision-making — have made AI adoption a competitive necessity rather than an option.
What Surprised Me
The speed surprised me. I expected the convergence to take a decade. It took three years. The catalyst was not any single technology or event but the simultaneous maturation of multiple technologies — large language models, blockchain infrastructure, and tokenisation platforms — combined with regulatory progress that provided the clarity needed for institutional adoption.
The institutional participation surprised me. I expected institutions to be cautious, incremental, and slow. Instead, BlackRock launched a tokenised fund on Ethereum within months of filing for a Bitcoin ETF. Banks began issuing stablecoins within months of the GENIUS Act's passage. And AI adoption in financial services went from experimental to universal in less than two years.
The political dimension surprised me most. I did not anticipate that crypto would become a significant political issue, that a presidential candidate would campaign on crypto-friendly policies, or that the regulatory environment would shift as dramatically as it did. The political mobilisation of the crypto industry — from the infrastructure bill fight in 2021 to the 2024 election — was the most consequential development that I failed to predict.
What Comes Next
The convergence is not complete. The next phase will be characterised by deeper integration — AI agents that manage tokenised portfolios autonomously, DeFi protocols that serve institutional clients seamlessly, and stablecoin infrastructure that processes trillions in annual volume.
The specific developments I am watching: the scaling of AI-agent infrastructure on crypto rails, the tokenisation of increasingly complex asset classes (private equity, real estate, insurance), the growth of bank-issued stablecoins, and the development of regulatory frameworks for AI agents that operate in financial markets.
The foundation has been laid. The infrastructure is built. The institutions are engaged. The regulations are in place. The next chapter is about execution — building the products and services that serve mainstream users, at scale, with the reliability and security that the financial system demands.
My View
The convergence thesis was right — directionally, structurally, and in most of its specific predictions. The timeline was faster than I expected. The institutional participation was deeper. And the political dimension was more significant. But the core insight — that AI, crypto, and traditional finance would converge on shared infrastructure — has been validated by the events of the past three years.
The next three years will be about scaling what has been built. The experimental phase is over. The infrastructure phase is maturing. The adoption phase is beginning. And the products that emerge from this convergence will reshape how the world manages, transfers, and creates value.
Three years ago, the convergence thesis was a prediction. Today, it is a description of reality. The threads have woven together — AI, crypto, and traditional finance operating on shared infrastructure, serving shared users, and creating shared value. The next chapter will be written by the builders who understand all three.