Introduction
Aptos is a Layer-1 blockchain engineered for speed, security, and real-world adoption. Created by former Meta engineers behind the Diem blockchain, Aptos is built on the Move programming language, which ensures safe and parallelized execution. Its unique Block-STM engine and AptosBFT consensus enable sub-second finality and ultra-low fees, allowing Aptos to process millions of transactions per second under high demand.
In 2025, Aptos has emerged as one of the most versatile ecosystems in Web3, powering the convergence of artificial intelligence (AI), stablecoins, and real-world assets (RWAs). Through collaborations with Microsoft and Aptos Labs’ FIND OUT AI Q&A app, Aptos is making blockchain more intuitive through AI-powered interfaces. Simultaneously, it has become the Chain of Choice for Stablecoins, surpassing $1 billion in stablecoin market cap, with native support for USDT, USDC, USDe, PYUSD0, and USDY.
Now, Aptos is also leading the Real-World Asset (RWA) revolution, with over $540 million in tokenized assets and a Top 3 global ranking among chains for RWAs. Tokenized credit portfolios, real estate, and money-market funds are moving on-chain, leveraging Aptos’ compliance-ready infrastructure and sub-second settlement. Aptos’ combination of institutional-grade security and user-friendly innovation demonstrates its mission: to bridge traditional finance, AI, and decentralized technology into one interoperable ecosystem.
Problem Statement
- Performance Bottlenecks in Legacy Blockchains: Most existing blockchains execute transactions sequentially, causing congestion, slow confirmations, and high fees. This limits their ability to handle large-scale financial and AI applications.
- Security and Compliance Limitations: EVM-based chains face recurring vulnerabilities like re-entrancy attacks and lack standardized compliance modules. This creates barriers for institutions that need secure, regulated environments.
- Fragmented Stablecoin and RWA Ecosystems: Liquidity across stablecoins and RWAs is scattered across multiple chains. The lack of a unified framework restricts composability, settlement efficiency, and global asset mobility.
- Centralization in AI and Data Systems: Most AI systems are controlled by centralized entities, creating risks of bias, data manipulation, and opaque decision-making. This undermines user trust and transparency.
