Key takeaways
- The index is longitudinal: changes over time matter more than a one-off ranking.
- External baseline evidence shows broad adoption but a smaller group at transformational maturity.
- Agentic AI adoption is an important separate signal because it changes the operational control problem.
- No proprietary FinanceGPT score is published until the RES9 coverage and confidence gates are met.
What the 2026 external baseline says
#Cambridge reports 81% of surveyed financial-services firms adopting AI at some level, 40% at scaling or transforming maturity and only 14% describing AI as transformational to strategy and competitive advantage. It also reports agentic AI in active adoption among 52% of industry respondents. These are external baseline signals, not the FinanceGPT index score.
https://financegpt.uk/research/ai-finance-adoption-index#baselineIndex dimensions
#| Dimension | What it is intended to capture |
|---|---|
| Breadth | How many finance functions use AI materially |
| Maturity | Pilot versus scaled/transforming deployment |
| Agentic adoption | Use of systems that coordinate multi-step work |
| Integration | Connection to financial data and operating workflows |
| Governance | Controls, review, monitoring and accountability |
https://financegpt.uk/research/ai-finance-adoption-index#dimensionsPublication discipline
#- Use versioned methodology and evidence dates.
- Report coverage and confidence separately from the score.
- Do not infer adoption from social attention alone.
- Do not fill missing dimensions with invented values.
- Publish revisions when material new evidence changes the baseline.
https://financegpt.uk/research/ai-finance-adoption-index#methodWhy a maturity index is useful
#Adoption statistics can overstate progress when experimentation is counted the same as production transformation. A maturity-oriented index is intended to distinguish “using AI somewhere” from operating AI as a repeatable, governed part of financial work.
https://financegpt.uk/research/ai-finance-adoption-index#whyQuestions about AI finance adoption index
What is the current FinanceGPT AI Finance Adoption Index score?
No proprietary score is published in this launch edition. RES9 requires complete evidence coverage and confidence gates before a score can be released.
What are the current baseline signals?
Cambridge reports 81% AI adoption at some level among surveyed financial-services firms, 40% at advanced maturity and 14% at transformational maturity.
Will social-media popularity affect the score?
No. Market attention can help prioritize research, but it is not evidence of adoption maturity.
External research and policy references
These sources provide broader context on AI adoption, risk, supervision and structural change in finance. FinanceGPT's product architecture and terminology are its own.
Turn this research question into financial work.
Start with the research topic and move into a reviewable FinanceGPT Build with assumptions, calculations, scenarios and outputs kept visible for review.