Statistics · 10 sourced pages
Statistics
The numbers behind AI in finance, pulled from regulator surveys, peer-reviewed benchmarks, and published research. Every datapoint names its source and the year it covers. Nothing here is measured on this site, and nothing is invented.
AI in markets
10 pages-
AI Agents and Automation in Markets Statistics
AI agents and automation in markets statistics: algorithmic execution share, electronic order flow, and regulator warnings on AI-driven volatility.
6 STATS
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AI Fraud Detection in Finance Statistics
AI fraud detection statistics for payments and finance: fraud value blocked, detection-rate gains, false-positive reductions, reported as vendor claims.
5 STATS
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AI Governance and Regulation in Finance Statistics
AI governance statistics for finance: EU AI Act timelines and fines, regulator-flagged risks, and the gap between AI adoption and formal strategy.
6 STATS
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AI in Finance Adoption Statistics
Sourced statistics on AI and generative-AI adoption across financial services: deployment rates, use cases, governance gaps, and where the money is going.
7 STATS
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Generative AI Economic Value in Banking Statistics
Generative AI banking value statistics: McKinsey and Citi profit projections, top use cases, and where the estimated economic value concentrates.
5 STATS
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Generative AI Spend in Financial Services Statistics
Generative-AI spend statistics for financial services: AI budget share, ROI self-estimates, bank tech-budget figures, and production use-case counts.
7 STATS
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LLM Accuracy on Financial Benchmarks Statistics
LLM financial benchmark accuracy statistics: FinBen task results, sentiment accuracy versus FinBERT, and where models are strongest and weakest.
5 STATS
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LLM Cost Trends for Finance Workloads Statistics
LLM cost trends for finance workloads: sourced per-token price declines, fold reductions over time, and the drivers behind falling inference costs.
5 STATS
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LLM Reliability in Finance Statistics
Sourced statistics on large language model reliability for financial tasks: hallucination rates, numerical-reasoning accuracy, citation faithfulness, and benchmark gaps.
6 STATS
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RAG vs Fine-Tuning Economics Statistics
RAG vs fine-tuning economics statistics: sourced accuracy gains from each approach, whether they stack, and how grounding affects hallucination.
5 STATS
Adjacent surfaces