Bybit Launches AI Assistant for Trading and Account Tasks

Sep 9, 2026
Bybit AI lets users manage trades, accounts and support requests through a conversational interface in the Bybit app.
Bybit Launches AI Assistant for Trading and Account Tasks

Bybit announced in a press release the launch of Bybit AI, a conversational assistant integrated into its app. Users can describe tasks in plain language and ask the assistant to perform actions involving trading, account management and customer support.

The assistant works across Spot, Futures and Options trading, Bybit Earn, Copy Trading, Trading Bot, Loans, P2P, Bybit Card, Spot X and Rewards Hub. It can also manage notifications and subscriptions, while customer support combines automated assistance with access to human agents.

Eligible users must activate the feature, which creates a dedicated Bybit AI subaccount separate from their main balance. The setup does not require an API key or manual configuration. Bybit plans to expand access through Open API connections for trading, earn products, loans, card services and customer support.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Finance AI Weekly, Sales & Marketing AI Weekly or Daily AI Brief.

Also, consider following us on social media:

AI in Finance AI Brief AI Brief (X)
Free newsletter

Finance AI Weekly

Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets

Guide
23 AI meeting assistants for financial advisors

23 AI meeting assistants for financial advisors

What each one captures, what it keeps and which records it changes, from standalone apps to the AI built into advisor CRMs.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.