Bloomberg Brings ASKB Conversational AI to Mobile with Cross-Device Continuity

Bloomberg has extended ASKB, its conversational AI interface for the Bloomberg Terminal, to mobile devices on iOS and Android. The update allows financial professionals to transition AI-driven research from the desktop to a mobile environment without losing their place in a conversation.

According to FX News Group, the primary feature of the update is cross-device continuity. ASKB now supports persistent sessions, meaning a user can initiate a complex query on a Terminal desktop and continue the exact same thread on a mobile device in real time. This ensures that the conversation context remains intact, removing the need for users to repeat prompts or re-establish parameters when switching hardware.

Personalized Financial Intelligence

Beyond connectivity, Bloomberg has introduced profile personalization to the ASKB experience. Users can now define their specific job title, professional role, and primary areas of focus within the interface. By providing this context, the AI delivers tailored responses that align with the user's specific professional needs across all supported devices.

Fahd Arshad, Head of Product for ASKB at Bloomberg, emphasized that this capability is rooted in the system's underlying structure. "Continuity like this isn’t just a design choice, it’s an architecture decision," Arshad said, noting that the persistent session itself, rather than just the user interface, is what persists across devices.

Impact on High-Stakes Workflows

For the institutional traders and analysts who rely on the Bloomberg Terminal, the ability to maintain a "train of thought" is a critical operational requirement. In fast-moving financial environments, the friction between desk-based research and on-the-go decision-making can lead to inefficiencies. By integrating AI-driven continuity into the mobile app, Bloomberg ensures that complex data queries remain accessible during commutes or high-pressure meetings where a desktop is unavailable.

This move reflects a broader shift toward natural language interfaces in fintech, moving away from the rigid command-line structures that have historically defined the Terminal experience. By allowing AI to handle the context of a user's workflow, Bloomberg reduces the cognitive load required to navigate its vast data ecosystem.

Future Outlook

As Bloomberg continues to modernize the Terminal, the focus remains on deepening the integration between AI agents and the proprietary data sets available to entitled users. While the current rollout focuses on session persistence and personalization, the industry will be watching to see how Bloomberg further optimizes these conversational workflows for mobile-first interactions and whether additional personalization layers are added to the ASKB profile system.