In an interview with CoinDesk, the head of Brickken stated that in the near future, American TradFi will run on blockchain. We explain what else is worth hearing on the topic.
Brickken CEO Edwin Mata is confident that by 2030, the traditional financial infrastructure of Wall Street will operate entirely on blockchain. Hype terms like Web3 will fade, and the technology will become a standard part of fintech.
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Blockchain and Wall Street — Key Takeaways from Brickken’s Forecast
- The boundary between TradFi and crypto is disappearing. Blockchain is being integrated into core processes: settlements, payments, and asset accounting.
- Major players are actively driving the RWA tokenization market. Examples include BlackRock’s BUIDL fund and Bullish’s $4.2B acquisition of transfer agent Equiniti for on-chain stock record-keeping from issuance.
- The next stage is automation with AI. According to Mata, traditional dashboards will be replaced by simple chat prompts. AI agents will independently find the best yields and manage assets.
“We won’t be the ones making decisions. AI will do it.”
Brickken is already integrating AI agents to automate asset onboarding and liquidity sourcing. The platform has helped bring $500M in real-world assets onto the blockchain.
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Regulatory Action Could Hinder Industry Growth
Mata sharply criticized Europe’s MiCA regulation. In his view, complex and costly compliance requirements protect large banks and stifle startups. Obtaining a license can take nine months—which is often fatal for young companies.
As a result, startups may migrate to the UAE and Southeast Asia. Meanwhile, Mata believes the US will remain the main innovation hub due to its large financial market. He called the current regulatory debates in Washington “temporary noise.”
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Blockchain and AI — An Unviable Pair?
Amid the optimistic forecasts, researchers from the IC3 consortium, in a report titled “Crypto x AI, AI x Crypto,” called for separating real utility from hype:
- Blockchain is useful for verifying artifact timestamps, zero-knowledge proofs, trusted computing, and data protection.
- However, it does not solve many popular problems, such as reliable AI content detection, verifying model inference correctness, or full AI agent autonomy. A wallet alone does not make a model independent of its operator.
DePIN networks and decentralized computing may be cost-effective for small tasks but often fall short of traditional clouds in cost and performance for large workloads.
The authors emphasize the need for quantitative proof of advantages, not just proof-of-concept demonstrations.
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