Frankfurt to Host New EU Money Laundering Watchdog Tasked With Monitoring Crypto

CoinDeskPolicyPublished on 2024-02-21Last updated on 2024-02-22

Abstract

The Anti-Money Laundering Authority is part of a broader effort by the European Union to combat illicit fund flows, and is ready to begin work as early as Friday, officials sa...

The European Union has selected Frankfurt, Germany, as the seat for its new Anti-Money Laundering Authority (AMLA), which will directly oversee the crypto sector.

The Frankfurt-based agency, made up of the authority itself and national authorities from the EU’s 27 member states, will be tasked with ensuring compliance with all anti-money laundering and counter-terrorist financing obligations agreed by the bloc.

"We're mitigating risks linked to large sums of money with an EU-wide limit of 10,000 euros for cash payments. At the same time, we're addressing risks posed by crypto and the anonymity is enables," Mairead McGuinness, European Commissioner for Financial Stability, Financial Services and Capital Markets Union said during a Thursday press conference on the decision.

Advertisement
Advertisement

The AMLA is part of a three-pronged legislative package to combat money laundering and terrorism financing across the EU, creating a single rulebook for all its members. In addition to setting up the new agency, the EU last year finalized revisions to its transfer of funds rules (TFR) to also allow for the tracing of crypto transactions.

“Really important that we will now have a single set of rules applicable to the private sector across the single market so no matter where companies are located across the union, they will be subject to the same rules,” McGuinness said. She added that the authority is "ready to go" with its work as early as Friday morning.

While the TFR was implemented alongside the EU’s landmark Markets in Crypto Assets (MiCA) framework, the bloc is now finalizing its AML regulatory framework (AMLR), which addresses customer due diligence and transfer limits.

Nine EU cities were in the running for the seat, including Rome and Paris. Frankfurt was picked through a joint vote of the European Parliament and Council.

Advertisement
Advertisement

Related Reads

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

This article explains the three primary methods for Codex to interact with a computer, each with distinct use cases, permission boundaries, and trust levels. **1. Computer Use:** This offers the broadest access, allowing Codex to visually control and interact with the graphical user interface of authorized macOS/Windows apps, system settings, and even iOS simulators. It's ideal for tasks lacking APIs or structured tools, such as operating legacy software or multi-app workflows. However, it's the slowest method and has the widest permission scope, requiring careful supervision for sensitive actions. **2. Chrome Extension:** This grants Codex access to the user's logged-in Chrome browser state, including cookies, profiles, and open tabs. It's best for tasks requiring user identity across websites like Gmail, LinkedIn, Salesforce, or internal dashboards. Its key advantage is multi-tab control for complex workflows. While more powerful for browser-based tasks than Computer Use, it carries higher sensitivity as actions are performed under the user's identity. **3. In-App Browser:** This is a browser isolated within the Codex thread, separate from the user's personal browsing data. It excels in web development and debugging scenarios—previewing local servers, testing responsive layouts, or annotating designs directly on the page. Its isolation is a strength for development but a limitation for tasks requiring login sessions. The core principle is to choose the narrowest, safest, and most structured interface for the task. Use plugins or MCPs first, resort to visual control (Computer Use) only for GUI-dependent tasks, employ the Chrome extension for identity-reliant browser work, and prefer the In-App Browser for isolated development. **Appshots** are clarified as a fourth, complementary tool for *inputting* context—capturing a screenshot of a window to point Codex to something—rather than a method for Codex to *act*. Together, this layered approach highlights a key to AI agent productization: not granting unlimited permissions, but constraining them within clear boundaries for specific tasks while preserving user oversight.

marsbit1h ago

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

marsbit1h ago

The "Iron Rule" of Chip Equipment Is Being Broken

For years, the semiconductor equipment industry followed an unwritten "iron rule": suppliers offered steep discounts for new tool introductions (Design-in) and faced consistent price pressure during repeat orders, especially during market downturns. This long-standing buyer's market dynamic is now being upended. Recently, SK Hynix's primary equipment suppliers have reportedly requested a 3-4% price *increase*, a nearly unprecedented move. This shift is driven by a severe supply-demand imbalance fueled by the AI compute boom. Securing equipment has become an urgent arms race as chipmakers' expansion speed dictates their ability to fulfill massive AI chip orders. Key areas feeling the strain include: **TCB (Thermal Compression Bonding) Equipment:** Demand is exploding, driven by the simultaneous needs of HBM4 memory stacking, AI chip Chip-on-Substrate (C2S), and logic Chiplet Chip-on-Wafer (C2W) packaging. Players like Hanmi Semiconductor, Hanwha Semitech, and ASMPT are receiving major orders. While hybrid bonding is seen as the future, TCB remains the pragmatic choice for HBM4 mass production, with its lifecycle extended by relaxed specifications and ongoing technological upgrades. **Test Equipment Bottlenecks:** Ironically, AI-driven shortages are now crippling test equipment manufacturing. Critical components like FPGAs, Driver ICs, and CPUs face severe shortages and extended lead times (up to 52 weeks for FPGAs), as AI data center and server vendors prioritize supply. This creates a paradoxical cycle: AI chip shortages drive fab expansion, which requires more test equipment, whose production is delayed because its key parts are diverted to make AI chips. The industry is entering a broad, AI-powered upcycle. SEMI forecasts global semiconductor equipment sales to hit a record $156 billion by 2027, fueled by investment in advanced logic/foundry, HBM-driven DRAM, and advanced packaging (like CoWoS). Major players like TSMC, SK Hynix, and Micron are aggressively ramping capital expenditure. In conclusion, leading equipment vendors are no longer just selling tools; they are selling the critical capability to deliver AI-era capacity. Pricing power is shifting decisively to those with indispensable technology in key process nodes like advanced logic, HBM, and advanced packaging, rewriting the industry's traditional power structure.

marsbit1h ago

The "Iron Rule" of Chip Equipment Is Being Broken

marsbit1h ago

Trading

Spot
Futures
活动图片