Europe reconsiders crypto oversight as ESMA centralization gains momentum

cointelegraphОпубліковано о 2025-12-12Востаннє оновлено о 2025-12-12

Анотація

Europe is reconsidering the enforcement structure of its Markets in Crypto-Assets (MiCA) regulation, debating whether to centralize oversight under the European Securities and Markets Authority (ESMA) rather than leaving it with national authorities. While MiCA aims to create a unified rulebook for crypto service providers in the EU, significant disparities in implementation have emerged. For example, Germany has granted around 30 licenses, while Luxembourg has approved only three. These inconsistencies have fueled support for a centralized model, with countries like France, Austria, and Italy backing the move. Experts like Lewin Boehnke of Crypto Finance Group argue that while MiCA’s regulatory approach is sound, centralization could improve efficiency and uniformity. However, technical ambiguities—such as the requirement for custodians to return assets “immediately”—still need clarification from ESMA.

Europe’s crypto regulatory framework is entering a new phase of scrutiny as policymakers weigh whether enforcement of the Markets in Crypto-Assets (MiCA) regulation should remain with national authorities or be centralized under the European Securities and Markets Authority (ESMA).

MiCA, which came largely into force at the beginning of 2025, was designed to create a unified rulebook for crypto-asset service providers across the European Union.

But as implementation progresses, disparities between member states are becoming harder to ignore. Some regulators have approved dozens of licenses, while others have issued only a handful, prompting concerns about inconsistent supervision and regulatory arbitrage.

In this week’s episode of Byte-Sized Insight, Cointelegraph explored what those growing pains mean for Europe’s crypto market with Lewin Boehnke, chief strategy officer at Crypto Finance Group — a Switzerland-based digital asset firm with operations across the EU.

Uneven enforcement fuels calls for oversight

According to Boehnke, the core challenge facing Europe isn’t the MiCA framework itself, but rather how it is being applied differently across jurisdictions.

“There is a very, very uneven application of the regulation,” he said, pointing to stark contrasts between member states. Germany, for example, has already granted around 30 crypto licenses, many to established banks, while Luxembourg has approved just three, all to major, well-known firms.

The ESMA released a peer review of the Malta Financial Services Authority’s authorization of a crypto service provider, finding that the regulator only “partially met expectations.”

Those disparities have helped fuel support among some regulators and policymakers for transferring supervisory powers to ESMA, which would create a more centralized enforcement model similar to the US Securities and Exchange Commission.

Related: Italy sets hard MiCA deadline for crypto platforms to comply

France, Austria and Italy have all signaled support for such a move, particularly amid criticism of more permissive regimes elsewhere in the bloc.

From Boehnke’s perspective, centralization could be less about control and more about efficiency.

“From just purely the practical point of view, I think it would be a good idea to have a unified... application of the regulation,” he said, adding that direct engagement with the ESMA could reduce delays caused by back-and-forth between national authorities.

MiCA’s design praised, but technical questions remain

Despite criticism from some corners of the crypto industry, Boehnke said MiCA’s overarching structure is sound, particularly its focus on regulating intermediaries rather than peer-to-peer activity.

“I do like MiCA regulation... the overarching approach of regulating not necessarily the assets, not the peer-to-peer use, but the custodians and the ones that offer services... that is the right approach.”

However, he also noted that unresolved technical questions are slowing adoption, especially for banks. One example is MiCA’s requirement that custodians be able to return client assets “immediately,” a phrase that remains open to interpretation.

“Does that mean withdrawal of the crypto? Or is it good enough to sell the crypto and withdraw the fiat immediately?” Boehnke asked, noting that such ambiguities are still being worked through and are awaiting clarity from ESMA.

To hear the complete conversation on Byte-Sized Insight, listen to the full episode on Cointelegraph’s Podcasts page, Apple Podcasts or Spotify. And don’t forget to check out Cointelegraph’s full lineup of other shows!

Magazine: How Neal Stephenson ‘invented’ Bitcoin in the ‘90s: Author interview

Пов'язані матеріали

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbit13 год тому

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbit13 год тому

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbit14 год тому

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbit14 год тому

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit15 год тому

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit15 год тому

Торгівля

Спот
Ф'ючерси
活动图片