Bybit Deploys Institutional AI Tools in Exchange Arms Race

Bybit Deploys Institutional-Grade AI Tools on March 20

Bybit, the world’s second-largest cryptocurrency exchange by trading volume, announced a significant upgrade to its AI Trading Skills Hub on March 20, 2026. The enhancement equips traders with institutional-grade tools accessible through natural language commands. New capabilities include the integration of copy trading, full lifecycle management for bots such as Spot Grid and Futures Martingale, and sophisticated algorithmic execution strategies like Time-Weighted Average Price (TWAP) and Iceberg orders.

This evolution transforms the AI hub from a simple execution tool into a comprehensive "trading orchestration layer." It aims to make advanced, automated trading more accessible, allowing users to replicate proven strategies, manage complex bot portfolios, and optimize trade entries and exits to minimize market impact without deep technical knowledge.

AI Becomes New Battleground for Crypto Exchange Dominance

Bybit's platform enhancement is not an isolated move but part of a broader industry trend where major exchanges are competing fiercely over AI-powered trading capabilities. The upgrade directly challenges rivals like KuCoin, which recently announced its own "KuCoin Skills Hub" to provide AI-based access to crypto workflows. This escalating arms race indicates that automated and intelligent trading tools are becoming a critical factor for attracting and retaining both retail and institutional traders.

The announcement follows Bybit's March 17 upgrade to its On-Chain Earn platform, which simplified access to DeFi yield opportunities. Together, these updates highlight Bybit's strategy of bridging the gap between centralized finance convenience and the sophisticated capabilities of decentralized finance and traditional trading desks.

Dual-Source Verification Aims to Secure Automated Trading

As automated trading grows more powerful, Bybit is addressing a key vulnerability with a new dual-source verification security framework. This system is designed to mitigate supply chain attacks where malicious code could be injected through a single compromised source, such as a code repository or a content delivery network (CDN).

By requiring instructions to be consistent across two independent trust channels before execution, Bybit significantly increases the difficulty for an attacker. This security-first approach aims to build user trust in AI-driven automation, ensuring that the platform's advanced features do not introduce new vectors of risk for its more than 80 million users.