This week’s dominant theme is the maturation of AI governance in financial services, with the FCA’s landmark Mills Review setting a global benchmark for how regulators should respond to agentic AI in retail finance. Simultaneously, capital continues to flow into autonomous investing and trading AI, while explainability and transparency emerge as the next frontier for compliance-conscious banks.

Top story: The FCA published the Mills Review on 6 July — the first AI-in-retail-finance review of its kind by any regulator globally — setting seven priority recommendations and warning that agentic AI is approaching pressure points in the current regulatory perimeter.


FCA’s Mills Review Sets Global Benchmark for Agentic Finance Regulation

FCA / Regulation Tomorrow · Regulation

Published on 6 July 2026, the FCA’s Mills Review is the first review of its kind initiated by any regulator globally, mapping how AI will reshape retail financial services for consumers, firms and markets by 2030. The review identifies four major AI-driven shifts — including the evolution of consumer journeys into agent-led ones, the reshaping of market power, and the amplification of fraud and cyber risks — and makes seven priority recommendations without introducing AI-specific rules. Crucially, it found that 1 in 5 UK adults are already open to AI making financial decisions autonomously for them, and recommends an urgent perimeter review covering ChatGPT-style tools offering unregulated financial advice.

https://www.fca.org.uk/news/press-releases/fca-publishes-landmark-review-impact-ai-retail-financial-services

GIM Raises $20M to Put Agentic AI Into Live Trading Execution

Fintech Global · Finance

Grace Investment Machine (GIM), an AI-native capital markets company, closed a $20m Series A — its third funding round within its first year — to move its autonomous investing technology from research into live execution. GIM’s architecture uses multi-agent systems that generate and validate trading signals through layered reasoning loops, with the company arguing that capital markets are uniquely suited to training agentic AI because investment decisions produce measurable feedback that can improve future performance. The round was co-led by Hony Capital and IDG Capital, signalling strong institutional conviction in fully autonomous market-facing AI.

https://fintech.global/2026/07/10/gim-raises-20m-to-scale-agentic-ai-investing/

Prague AI Lab Valued at $500M+ Applies Poker AI to Quant Trading

Scouts by Yutori · Finance

EquiLibre Technologies, a Prague-based AI lab founded by three ex-DeepMind researchers, closed a Series A at a $500m+ valuation after applying reinforcement learning techniques originally developed for poker-playing AI to quant hedge fund trading strategies. The round was led by European VC firm Creandum, marking a significant European vote of confidence in frontier AI for capital markets. The firm’s approach — treating financial markets as an adversarial game environment rather than a prediction problem — represents a meaningful architectural departure from conventional quant models.

https://scouts.yutori.com/inbox/68f22e10-d5fe-4e94-b1c8-9c6218cfdb2c

Explainable AI in Banking Surges 24% as Regulators Tighten Grip

GlobeNewswire / ResearchAndMarkets · Risk

A new market report published 6 July 2026 shows the explainable AI (XAI) in banking market grew from $1.3bn in 2025 to $1.61bn in 2026 — a 23.8% CAGR — driven by regulatory pressure on credit decision transparency, early AI governance frameworks and surging demand for auditable fraud detection. The market is projected to reach $3.8bn by 2030, reflecting a structural shift: banks can no longer deploy black-box models for credit scoring or AML risk profiling as the EU AI Act’s high-risk enforcement deadline of 2 August 2026 approaches. For practitioners, explainability is fast becoming a baseline compliance requirement rather than a differentiator.

https://www.globenewswire.com/news-release/2026/07/06/3322347/28124/en/explainable-ai-in-banking-rising-demand-driven-by-fraud-detection-needs-and-regulatory-requirements.html

London-Founded MDOTM Raises $27M as AI Hits $100BN in AUM

Fintech Global · Strategy

London-founded MDOTM secured $27m to scale its AI investment platform Sphere, which now underpins over $100bn in assets under management across more than 60 institutions including Morgan Stanley, Amundi and Zurich Bank. The raise brings total funding to $36.5m and will fund international expansion and AI research headcount, as financial institutions increasingly seek scalable, production-grade AI tools for portfolio management. MDOTM’s milestone is significant for the UK AI narrative: a London-origin firm has quietly reached nine-figure AUM coverage before most incumbents have moved beyond pilots.

https://fintech.global/2026/06/30/mdotm-secures-27m-to-scale-ai-investing-platform/