Financial data firms are rushing to offer their data through AI chatbots.
Pricing is still evolving, with no standard model yet.
This shift could reshape how they charge customers.
What happened
Financial data and software firms like FactSet, S&P Global, and Moody's are moving to provide their proprietary data through AI chatbot plugins, with Salesforce integrating Claude. Pricing for this access is still being worked out, with S&P's Peter Licursi calling it "an evolution that we are actively discussing with our customers at all times."
Why it matters
Unlike the old per-seat billing model, there is no standard way yet for these companies to charge for AI chatbot data access. One hedge fund analyst can now use agents to multiply the number of queries they run, but the extra AI token costs are passed to the business customer, making monetization a make-or-break factor.
What to watch
Moody's currently charges based on expected usage, while Salesforce has not released pricing for its new Claude integration. How these companies settle on a pricing model will determine whether this pivot succeeds.
Ask the AI about this article →
The move by financial data firms into AI chatbots reflects a broader shift where proprietary data becomes the core asset. Companies like FactSet and S&P Global are navigating uncharted pricing territory, as the old per-seat model doesn't fit AI usage. The challenge is balancing customer demand for AI-driven insights with the added token costs, which are passed on to businesses. This evolution is still early, and how these firms monetize will likely define their success in the AI era.
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