This week’s stories reveal a finance sector in active regulatory transition: the FCA is openly abandoning traditional rule-making in favour of AI-speed supervision, while private credit flows into AI infrastructure are creating new systemic risk blind spots for insurers and banks. Across the industry, AI is moving from pilot to production — but the governance frameworks to manage it at scale are still being built in real time.
Top story: FCA chief Nikhil Rathi declared ‘legislation will never keep up’ with AI, signalling a fundamental shift in how UK financial services will be regulated.
FCA Chief Abandons Traditional Rule-Making as AI Outpaces Law
FCA.org.uk / PYMNTS · Regulation
In a landmark speech on 24 June, FCA CEO Nikhil Rathi declared that ‘legislation will never keep up’ with AI and repositioned the regulator as a steward that will intervene on judgement before laws arrive. He revealed the FCA is deploying agentic AI as a ‘first responder’ to monitor wholesale markets for abuse, processing a billion rows of data per day — while also previewing an imminent Mills Review on how AI will reshape retail financial services. For practitioners, this signals a move away from waiting for prescriptive rules: firms should expect continuous, judgement-based supervision and must demonstrate clear human accountability for AI-driven decisions.
https://www.fca.org.uk/news/speeches/rethinking-regulation-age-ai
BIS Warns Private Credit’s $200B AI Exposure Creates Hidden Systemic Risk
Bank for International Settlements · Risk
A new Bank for International Settlements bulletin reveals that private credit lending to AI-related companies has surged from near zero to over $200 billion, with its share of total private credit volumes rising to almost 8%. The BIS warns that complex, opaque financing structures — including asset-backed securitisation and leasing arrangements — mean spillover risks could be larger than previous boom cycles suggest. For banks, insurers, and PE firms financing AI infrastructure, this is a direct signal that credit risk models built on historical data may be structurally blind to the concentration and leverage building in AI-linked private markets.
Top Insurers Break Silence on AI ROI, Disclosing $1B+ in Value
Artificial Intelligence News · Strategy
According to the 2026 Evident AI Index, Manulife, Generali, and Intact Financial are now publicly reporting hard AI return-on-investment data, with projections showing these three firms alone will generate over $1 billion in AI-driven value by end of their reporting periods. The report also shows AI specialist headcount at major insurers expanded 32% over the past year, even as the broader insurance workforce contracted 2.2%. This transparency marks a maturity inflection: boards and shareholders are demanding proof of returns, and the firms able to quantify and disclose AI value are setting a new competitive benchmark that others will be pressured to match.
FTI: 95% of PE Funds Say AI Meets or Beats Business Case, But Talent Gap Widens
FTI Consulting · Finance
FTI Consulting’s 2026 Private Equity AI Radar, based on 200 fund and operating leaders, finds that 95% of funds report AI initiatives meeting or exceeding their original business case — with revenue acceleration cited as the top priority by 41% of respondents. However, talent remains the primary constraint to scaling, cited by 35% of firms, and performance gaps between AI leaders and laggards are sharpening rapidly. AI is now embedded across the investment lifecycle — including deal selection, value creation planning, and exit readiness — making it a genuine differentiator rather than an operational add-on for top-tier PE firms.
https://www.fticonsulting.com/insights/reports/2026-private-equity-ai-radar
Colorado’s AI Act for Lending Goes Live Today — A US Regulatory First
Wolters Kluwer · Regulation
The Colorado AI Act (Consumer Protections for Artificial Intelligence) takes effect today, 30 June 2026, making it the first US state law to impose binding obligations on AI systems used in consequential financial decisions such as loan approvals and credit scoring. Lenders must implement risk management programmes, conduct impact assessments, provide consumer transparency notices, and self-report algorithmic discrimination — with penalties reaching $50,000 per violation where senior citizens are affected. While the Act includes a compliance safe harbour for institutions already subject to equivalent federal protections, it sets a precedent that other states are likely to follow, accelerating the fragmentation of AI compliance obligations across US financial services.
https://www.wolterskluwer.com/en/expert-insights/banking-on-ai-risk-readiness-and-the-next-frontier