The short version
ASKB is a new conversational AI tool from Bloomberg that helps finance professionals find information and perform research tasks directly inside the Bloomberg Terminal. By using "agentic" AI—a type of technology that can complete multi-step tasks rather than just answering simple questions—it aims to speed up how investors and analysts gather financial insights. The tool is currently available in a beta version for users.
What happened
If you have ever used a search engine or a chatbot, you know how they work: you ask a question, and it gives you an answer. However, if you wanted that chatbot to go a step further—like pulling specific data, comparing it against other files, and formatting a report for you—you would usually have to do the heavy lifting yourself.
Bloomberg has introduced ASKB, a new AI tool integrated directly into their professional Bloomberg Terminal. Think of the Terminal as the "control center" for financial professionals. By adding ASKB, Bloomberg is essentially giving these users a smart digital assistant.
This is "agentic" AI. You can think of a standard chatbot as a library clerk who tells you where a book is. An "agentic" AI is more like a research assistant who finds the book, highlights the important paragraphs, summarizes the findings, and puts it on your desk. It is designed to take over the repetitive, time-consuming parts of financial research so the human can focus on making actual decisions.
Why should you care?
Even if you aren't a trader on Wall Street, this matters because it represents a major shift in how we work with complex data.
For the people who use the Bloomberg Terminal—which includes banks, family offices, and investment firms—this could mean a massive increase in productivity. Financial research often involves digging through mountains of data, reports, and news. If an AI can cut that process from hours down to minutes, it changes the pace of the entire financial industry.
For the everyday user, this is a sign that "agentic" AI—AI that does things rather than just saying things—is moving into high-stakes, real-world professional environments. It is a glimpse into a future where your own professional software might eventually do more of the "busy work" for you, too.
What changes for you
- Increased speed: If you are a Bloomberg Terminal user, you will likely spend much less time clicking through menus and searching for specific data points. You can simply "ask" the terminal for what you need.
- Streamlined workflows: Instead of needing to jump between different tools to gather information and then reformat it, the AI acts as a connector that bridges those gaps.
- Professional focus: Because the tool handles the "heavy lifting" of data gathering, the people using it will likely have more time to focus on complex analysis and strategy rather than just hunting for information.
Frequently Asked Questions
What exactly is "agentic" AI?
Most AI chatbots just talk to you. "Agentic" AI is designed to take action; it can break down a complex request into a series of steps and perform those steps in sequence to get a specific task done for you.
Is ASKB available to everyone?
No. ASKB is designed specifically for professionals who use the Bloomberg Terminal. It is currently in a "beta" stage, meaning it is still being tested and refined by Bloomberg's professional user base.
Does this replace the human financial analyst?
According to Bloomberg, the goal is to speed up research workflows and help users discover insights faster. It is designed to assist professionals by handling the tedious parts of their work, not to replace the human judgment required for final investment decisions.
The bottom line
Bloomberg’s introduction of ASKB marks a shift from AI as a "search engine" to AI as an "active partner." By embedding a helper that can actually perform research tasks inside their professional dashboard, Bloomberg is setting a new standard for how we interact with complex information. For the financial world, this means more efficiency; for the rest of us, it is a clear look at how the future of work will rely on AI that does more than just talk—it gets to work.