Phemex announces an AI-Native Revolution, a company-wide transformation to embed artificial intelligence at the core of operations, product development, and strategic planning.

The plan includes expanding AI capabilities through talent development and strategic recruitment to deeply integrate intelligence into technology and culture.

The company aims to evolve from a technology-enabled exchange into a fully AI-native organization, centering intelligence in growth, innovation, and industry contribution.

The release provides a PR contact (Oyku Yavuz) and a WhatsApp channel for updates, along with a standard disclaimer about financial risk and the need for readers to do their own research.

The overhaul restructures management, workflows, and product architecture so AI-driven processes accelerate iteration, enhance decision-making, and improve user experience across the platform.

CEO Federico Variola characterizes AI as a structural turning point, enabling more adaptive tools, faster and more precise execution, and a trading environment that evolves with market complexity, pushing exchanges to compete on intelligent core architecture rather than listings or fees.

Variola repeats that the AI revolution is a structural turning point for the industry, with exchanges competing on infrastructure and intelligent integration of technology instead of only listings or fees.

He also notes AI will bring faster execution, more adaptive tools, and an intelligent, evolving trading environment while transforming operations toward intelligent systems.

Phemex was founded in 2019 and now serves over 10 million traders worldwide with spot and derivatives trading, copy trading, and wealth management products, emphasizing user experience, transparency, and innovation.

The company’s background highlights its global reach and product suite focused on user experience.

Future platform architecture and product initiatives will be designed around the AI-native foundation to create a more intelligent trading environment.

Externally, AI will be integrated into platform architecture and product initiatives, signaling a broader shift in the digital asset industry toward infrastructure-driven evolution.