The narrative of AI trading is expanding from chips and models to the data infrastructure layer.

In the future, the projects that will truly survive will either control the user entry point or become a capability layer within the giant's system.

The six-layer model of stablecoin payment infrastructure includes licensing and regulation, customer onboarding, custody and wallets, fiat currency deposits and stablecoin receipts, distribution and payment, and exchange (fiat currency-stablecoin swaps).

On the same day, the difference between the two blockchain architectures in the United States was no longer "public vs. private blockchain" or "crypto vs. banking", but rather "controllable vs. uncontrollable".

As blockchain space expands and transaction costs decrease, the core competition among public blockchain networks is shifting from cost to specialized division of labor. Mainstream L1 public blockchains are leveraging their architectural advantages to meet diverse scenario requirements.

In the six months from September 2025 to March 2026, every major player in the global payments sector made significant moves.

DeFi giant Aave has officially deployed on OKX’s Ethereum Layer-2 network X Layer, giving wallet users seamless access to lending, borrowing, and compounding yield without bridging or extra setup. This marks X Layer’s largest protocol integration yet, underscoring the L2’s growing role in the Ethereum scaling race.

DeFi, the Risk Layer of DeFi: Jinse Finance - Credit needs a more robust risk infrastructure.

Artificial intelligence, investment, computing power, Nvidia, chips—understanding the "five layers of the AI ​​cake" is key to unlocking the wealth secrets of the next decade. Golden Finance: The world's most knowledgeable AI expert teaches you how to get rich.

Jensen Huang, Artificial Intelligence, Jensen Huang publishes rare long article: AI is a "five-layer cake" infrastructure. Golden Finance, Artificial Intelligence (AI) is one of the most powerful forces shaping the world today.

From an industry perspective, AI can be broken down into a five-layer technology stack: energy → chips → infrastructure → models → applications.

Nvidia's Jensen Huang breaks down AI into five layers: energy, chips, infrastructure, models, and applications. He points out that every successful AI application will impact the entire industry chain, from computing power to electricity.