This week’s stories are defined by a deepening split between AI deployment and AI governance: US and UK firms are racing to embed autonomous agents into lending, wealth management, and market supervision, while the EU has launched a sweeping new Cloud and AI Development Act that will force European financial institutions to scrutinise their dependency on US hyperscalers. The FCA is also recalibrating its own role — signalling it intends to become an active AI supervisor rather than a passive rule-setter.
Top story: The EU’s proposed Cloud and AI Development Act introduces a four-tier sovereignty framework for cloud infrastructure that will reshape how European banks and insurers procure and govern their AI systems.
EU’s New Cloud Act Forces Banks to Rethink US Hyperscaler Dependency
Inside Global Tech · Regulation
On 3 June 2026, the European Commission published its proposed Cloud and AI Development Act (CADA), the centrepiece of its Tech Sovereignty Package, responding to two critical vulnerabilities: a structural deficit in EU data centre capacity and an over-reliance on a small number of non-EU cloud providers — with EU-based providers holding only around 15% of the European cloud market. CADA introduces a four-tier sovereignty assurance framework that conditions access to public sector contracts on graduated security and ownership requirements, with direct downstream consequences for financial institutions subject to DORA, NIS2, and the EU AI Act. While not yet law, experts warn that enterprises with EU public sector exposure or regulated financial services obligations cannot afford to wait for trilogue to begin positioning their cloud vendor strategies.
https://www.insideglobaltech.com/2026/06/11/the-eu-cloud-and-ai-development-act-in-depth/
Lama AI Raises $20M to Automate Community Bank Lending With AI Agents
SiliconANGLE · Finance
AI-native loan origination startup Lama AI closed a $10 million Series A led by EJF Ventures, bringing total funding to over $20 million, after growing revenue more than threefold in the past year. The platform deploys autonomous AI agents to handle the full lending lifecycle — from borrower intake and document collection through underwriting, decisioning, approvals, and portfolio monitoring — specifically for community and regional banks that lack the resources to build in-house. The raise highlights a growing two-tier dynamic in banking AI: Tier 1 banks build proprietary systems while smaller institutions turn to third-party agentic platforms to stay competitive in SMB and SBA lending.
https://siliconangle.com/2026/06/23/lama-ai-raises-10m-accelerate-automated-loan-originations/
Jump Launches AI-Powered Client Onboarding to Automate Adviser Workflows
FinTech Global · Tools
Jump, an AI platform for financial advisers and wealth management professionals, has unveiled end-to-end AI-assisted client onboarding that automatically pre-fills account-opening data from connected systems, with advisers retaining review and approval oversight. The release also includes a compliant scheduling tool built to meet archiving requirements, and is designed to remove administrative bottlenecks across adviser technology stacks rather than replace adviser judgment. The launch reflects a broader industry shift toward AI handling the operational layer of wealth management — freeing advisers to focus on client relationships and advice delivery.
https://fintech.global/2026/06/26/jump-launches-ai-account-opening-for-advisors/
Anthropic Launches Finance Agent Marketplace With Moody’s, Verisk and PitchBook
Anthropic · Generative AI
Anthropic has launched a dedicated financial services agent marketplace pairing its Claude models with data connectors from Moody’s, Verisk, PitchBook, Morningstar, FactSet, and SS&C Intralinks, covering credit analysis, insurance underwriting, deal-room diligence, and private markets research in a single governed environment. Moody’s has simultaneously launched an MCP app giving Claude access to proprietary credit ratings and data on more than 600 million public and private companies. The move signals a structural shift in how Wall Street workflows are being rebuilt — not around individual AI tools, but around multi-agent architectures that reason across proprietary financial data at scale.