Bloomberg announced ASKB’s next phase on 15 October, combining general availability with deeper use of a professional’s permitted working material. The release describes research using personal lists, worksheets, files and relevant Instant Bloomberg conversations.[1]
ASKB was already in a phased rollout, and Bloomberg announced a mobile extension on 18 August. October broadens availability and personal workflow integration.[4][1]
Inputs and review controls
| Input or control | Documented function | Review focus |
|---|---|---|
| Files and working material | ASKB Drive and personalised lists bring permitted material into the workflow. | Source ownership and access permissions.Source 2 |
| Conversation history | Relevant Instant Bloomberg chats can provide cited context. | Who said what, and when.Source 1 |
| Quantitative analysis | Bloomberg describes accompanying BQL code for data analysis. | The selected data, periods and calculation.Source 3 |
| Templates and scheduled workflows | Reusable tasks and collaboration are part of the current product description. | Task configuration and review of the resulting output.Source 2 |
Follow the source and calculation
Where enabled, the release describes access to up to three months of the user’s Instant Bloomberg chat history, with responses linked to relevant conversations. File-based answers also point to source passages. Access follows the applicable permissions and sharing choices.[1]
Bloomberg’s architecture combines commercial and open-weight models. Its data-analysis workflow includes BQL, the Bloomberg Query Language, so users can inspect and extend the calculation.[3]
For example, a revenue-growth comparison can be arithmetically correct while mixing fiscal and calendar years. Visible query logic helps expose those choices; the analyst must still decide whether the inputs answer the question.
Reusable research workflows
The current product description includes templates, scheduling, collaboration and desktop-to-mobile continuity. These features can preserve the context for repeated research, while citations and calculations provide a route back to the original evidence.[2]
A cited conversation records what a participant said; a retrieved forecast remains a forecast. The practical value of the expanded context depends on making those distinctions easy to inspect within the workflow.
Sources & further reading
- The Next Evolution of ASKB: Your Insights, Bloomberg’s Intelligence, One Conversation Bloomberg via PR Newswire · 15 Oct 2026 · Accessed 20 Oct 2026
- ASKB Bloomberg Professional Services · Accessed 20 Oct 2026
- Artificial Intelligence on the Bloomberg Terminal Bloomberg Professional Services · Accessed 20 Oct 2026
- Bloomberg Extends ASKB on Mobile Bloomberg via PR Newswire · 18 Aug 2026 · Accessed 20 Oct 2026