OpenAI announced the general availability of ChatGPT for Excel and Google Sheets, with the add‑ins powered by GPT‑5.5 and the core model GPT‑5.4. The Excel add‑in allows users to describe desired model changes in plain language, and ChatGPT builds or updates live spreadsheet models, preserving formulas and structure. The system can reason across workbooks, explain output changes, trace errors and link updates to specific cells, providing auditability and traceability. OpenAI also released new financial data integrations, including Moody’s, Dow Jones Factiva, MSCI, Third Bridge and MT Newswires, enabling users to pull market, company and internal data into ChatGPT for cited outputs such as earnings summaries and valuation snapshots. GPT‑5.4, branded as GPT‑5.4 Thinking, shows significant performance gains on OpenAI’s investment banking benchmark, improving from 43.7% to 87.3%. Enterprise customers receive enhanced security and governance features such as RBAC, SAML SSO, audit logs, encryption, and regional data controls, with data not used to train models. The launch reflects OpenAI’s focus on accelerating financial modeling, research and analysis while addressing regulatory requirements in finance and other data‑sensitive industries.
Introducing ChatGPT for Excel and new financial data integrations
OpenAI has released ChatGPT for Excel and Google Sheets, powered by GPT‑5.5 for the add‑ins and GPT‑5.4 for the core model. The Excel add‑in lets users build, update and analyze spreadsheet models using natural language, while new financial data integrations from Moody’s, Dow Jones Factiva, MSCI, Third Bridge and MT Newswires provide market, company and internal data in a single workflow. Enterprise customers receive enhanced security, governance and data residency controls.
Why it matters
The launch demonstrates how large language models can be embedded directly into productivity tools to streamline complex financial workflows, while the added data integrations and enterprise controls address regulatory concerns that are critical for widespread adoption in finance and other regulated sectors.