🇺🇸 Stay up-to-date with the U.S. regulatory landscape. Discover key updates shaping 2025 and beyond… From digital assets and AI innovation to retirement access and compliance extensions, the U.S. regulatory agenda is shifting to keep pace with innovation, technology, and investor expectations. Highlights from Q3 2025 include: ⏳ The IA AML Rule pushed back to 2028, giving investment advisers more time to prepare 📜 The GENIUS Act signed into law - marking the first national stablecoin framework in the U.S. 🏛 The White House AI Action Plan, setting a national strategy for responsible innovation 🗓️ The SEC and CFTC extending the Form PF compliance date to October 2026 🎢 New momentum to expand access to alternative assets for 401(k) investors Explore the full update below for detailed insights on how these developments will impact advisers, funds, and financial service providers across the U.S. #RegulatoryTracker #RegulatoryUpdate #ApexGroup #FinancialServices #Compliance #PrivateMarkets #USRegulation
U.S. Regulatory Update: Key Changes for 2025 and Beyond
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Bloomberg recently underlined how global regulators are still struggling to keep pace with the rapid adoption of AI across financial institutions. From credit analysis and risk modeling to deal sourcing and execution, AI is transforming how decisions are made yet oversight frameworks remain fragmented and reactive. As someone who has worked across structured lending and leverage advisory, I see a real challenge ahead: ensuring that automation enhances, not replaces, disciplined credit judgment. The next frontier in banking will not just be about smarter algorithms, but about governing intelligence with accountability.
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🚀 Innovation vs Governance — are they really at odds? We often think innovation moves fast and governance slows it down — but what if responsible governance is actually the key to scaling innovation with trust? 💡 In today’s rapidly evolving AI landscape, trust isn’t a brake on innovation — it’s the competitive advantage. Looking forward to the panel discussion on “Innovating Responsibly: AI Governance as a Competitive Advantage,” and to hearing both regulator and industry perspectives on how organizations can innovate confidently and responsibly. #AIGovernance #Innovation #ResponsibleAI #Trust #DigitalTransformation #Accenture #SingaporeFinTechFestival
As artificial intelligence continues to reshape financial services, the imperative for effective regulation and governance has never been more critical. At #SFF2025, this panel brings together regulators, financial institutions, and industry experts to explore the evolving landscape of AI regulation and governance from frameworks to implementation. Join Sameer Gupta (DBS Bank), Marko Milek (BlackRock), Gek Choo Goh, FRM (Monetary Authority of Singapore (MAS)), and Irene Liu (Accenture) as they discuss: 🔸 Current and emerging regulatory approaches across jurisdictions 🔸 Practical challenges in implementing AI governance frameworks 🔸 The role of international cooperation in developing harmonised standards Get your #SFF2025 pass now: https://lnkd.in/gR6huT4R Global Finance & Technology Network (GFTN) #SingaporeFinTechFestival #sgfintechfest
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Wrapped up a fantastic two-day conference co-hosted by Europol and the Basel Institute on Governance. Strong insights on how virtual assets are exploited by criminals and how transparent ledgers, data, and AI can helps to disrupt financial crime. Key takeaways: - Public blockchains are a force multiplier aiding tracing and recovery - Data & AI enhance investigations; while traditional methods still matter - Cross-border collaboration is essential - Continued regulatory alignment remains a priority - Capability, capacity, and speed are critical Thanks to the organisers and speakers for a collaborative, forward-looking programme. #VirtualAssets #FinancialCrime #AML #PublicPrivatePartnership #RegTech
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🔐 The SEC is sharpening its lens on AI use by RIA's — are your algorithms defensible? In the U.S. Securities and Exchange Commission’s 2025 exam priorities, emerging technologies are flagged: Examiners will scrutinize whether digital advice, automated tools, and AI-driven recommendations align with client profiles, and whether your disclosures match your operational practices. Alongside that, recent guidance notes that vendor‑oversight and technology risk are elevated concerns. You don’t need perfect, but you do need consistency, documentation, and guardrails today. This week, pick one AI or automation workflow (e.g., your re-balancing logic, model outputs, chatbot‑advisor front-end) and run a “reasonableness check” vs client outcomes. Post which workflow you’ll review, and we’ll share a red‑flag checklist you can use. #RIA-Lawyer.com #RIA #SEC #Fintech #AIinFinance #Compliance #WealthTech
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🔐 The SEC is sharpening its lens on AI use by RIA's — are your algorithms defensible? In the U.S. Securities and Exchange Commission’s 2025 exam priorities, emerging technologies are flagged: Examiners will scrutinize whether digital advice, automated tools, and AI-driven recommendations align with client profiles, and whether your disclosures match your operational practices. Alongside that, recent guidance notes that vendor‑oversight and technology risk are elevated concerns. You don’t need perfect, but you do need consistency, documentation, and guardrails today. This week, pick one AI or automation workflow (e.g., your re-balancing logic, model outputs, chatbot‑advisor front-end) and run a “reasonableness check” vs client outcomes. Post which workflow you’ll review, and I’ll share a red‑flag checklist you can use. #RIA-Lawyer.com #RIA #SEC #Fintech #AIinFinance #Compliance #WealthTech
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Global Compliance Survey 2025: Data Quality & Surveillance Trends - Nasdaq: Insights from Nasdaq's 2025 Global Compliance Survey, highlighting how firms are prioritizing data quality, surveillance effectiveness and AI.
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Global financial regulators are stepping up efforts to monitor the growing risks linked to the rapid adoption of artificial intelligence across the banking and financial sectors. Authorities are increasingly concerned that institutions rely too heavily on the same AI models and specialized hardware, creating potential “herd effects” that could amplify systemic risks. Read more in the following article. https://lnkd.in/dbqZApWM
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