SEC commissioner says Crypto is ‘helping to nudge reassessment’ on privacy

cointelegraphPubblicato 2025-12-15Pubblicato ultima volta 2025-12-15

Introduzione

SEC Commissioner Hester Peirce stated that cryptocurrency is prompting a reassessment of financial privacy regulations during a roundtable discussion with industry leaders. The event, part of the SEC’s efforts to shape digital asset oversight, addressed balancing investor protection with privacy as blockchain-based finance grows. Peirce and other regulators acknowledged that while public blockchains increase transparency, they also drive demand for privacy tools. The discussion included representatives from Zcash, the Blockchain Association, and the Crypto Council for Innovation. Meanwhile, U.S. Senate efforts to pass comprehensive digital asset market structure legislation before 2026 face time constraints, with a key bill unlikely to advance before the year-end recess.

Regulators at the US Securities and Exchange Commission met with cryptocurrency industry leaders on Monday to discuss financial surveillance and user privacy, as part of the agency’s ongoing efforts to shape digital asset oversight.

In opening remarks at the roundtable, SEC Commissioner Hester Peirce, who also heads the agency’s crypto task force, joined Chair Paul Atkins and Commissioner Mark Uyeda in outlining how regulators could balance investor protection with privacy considerations as blockchain-based financial activity expands.

Atkins said crypto had the potential to become “the most powerful financial surveillance architecture ever invented,” depending on how the US government handled regulation. He cited the SEC’s previous approach, “treating every wallet like a broker,” requiring more transactions to be reported.

SEC Commissioner Hester Peirce addressing the roundtable on Monday. Source: SEC

Peirce echoed Atkins in her statement, suggesting that regulators need to “rethink when and how financial transactions are surveilled” as the crypto market grows.

“Our national degradation of financial privacy and the rules that embody it are overdue for a change, and crypto is helping to nudge a reassessment,” said Peirce, adding that crypto “opens new possibilities for transactions without financial intermediaries that are central to our existing financial surveillance paradigm [...].” She continued:

“On the other hand, as has been mentioned, the public blockchains on which many crypto transactions take place are viewable by everyone, which creates a demand for privacy-protecting tools.”

The surveillance and privacy roundtable, which included representatives from the privacy token Zcash (ZEC), the Blockchain Association and the Crypto Council for Innovation, was the task force’s sixth event discussing various aspects of digital asset regulation and policy since Peirce launched the group in January.

Many in the cryptocurrency industry have sounded the alarm about privacy as the market continues to grow and regulators, lawmakers and courts work to address concerns.

Related: US SEC’s Crenshaw takes aim at crypto in final weeks at agency

Market structure to revamp the SEC’s authority over digital assets

Amid the roundtable discussion and the imminent departure of SEC Commissioner Caroline Crenshaw, lawmakers in the US Senate are running out of time to address legislation to establish a comprehensive digital asset market structure before 2026.

Early drafts of the bill indicated that it could grant the Commodity Futures Trading Commission greater authority over cryptocurrency and alter the SEC’s regulatory priorities.

After a market structure bill, named the CLARITY Act, passed the House of Representatives in July, members of the US Senate have been engaged in negotiations to get the legislation onto the floor for a vote before the end of the year. As of Monday, this goal by Republican leaders appeared unlikely to be achieved.

The Senate Banking Committee and the Senate Agriculture Committee have both released discussion drafts of their respective versions of the bill. However, as of the time of publication, no markup hearing appeared on the banking committee’s schedule, with the chamber set to break for the holidays in the next few days.

Magazine: When privacy and AML laws conflict: Crypto projects’ impossible choice

Letture associate

Huang Renxun Dramatically 'Saves' South Korean Stock Market

In early June, South Korea's stock market experienced a sharp decline, with the KOSPI index dropping over 5% and triggering a trading halt. Amid this volatility, NVIDIA CEO Jensen Huang's visit to Seoul provided a dramatic boost to market sentiment. During his trip, Huang held a dinner meeting with SK Group Chairman Chey Tae-won and SK Hynix CEO Kwak Noh-Jung. He announced that NVIDIA's new Vera CPU would utilize SK Hynix DRAM and confirmed a multi-year technical collaboration between the two companies. This partnership aims to co-develop next-generation memory for NVIDIA's AI infrastructure roadmap, covering products from data center supercomputers to personal AI devices. Huang also publicly commented that AI company stocks were attractively priced. A key announcement was that NVIDIA's upcoming Vera Rubin AI supercomputer systems will use HBM4 memory, with supply qualifications granted to all three major suppliers: SK Hynix, Samsung Electronics, and Micron Technology. Despite this multi-sourcing strategy, Huang warned that the industry-wide chip shortage, affecting everything from wafers to packaging, is expected to persist for several years due to relentless demand from global AI factory construction. The collaboration extends beyond memory supply. SK Hynix will employ NVIDIA's AI platforms and Omniverse digital twin technology to enhance its own semiconductor design, simulation, and manufacturing processes, aiming for more autonomous factory operations. This visit builds upon a prior October 2025 agreement for SK Group to build a large-scale AI data center using over 50,000 NVIDIA GPUs. Huang's itinerary also included meetings with other Korean giants like Hyundai, LG, and Samsung, indicating NVIDIA's broader strategy to deepen ties with South Korea's tech industry.

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Huang Renxun Dramatically 'Saves' South Korean Stock Market

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When Inference Becomes a Scarce Resource, Who Captures the Value?

When Inference Becomes the Scarce Resource, Who Captures the Value? The core AI bottleneck has shifted from model training to inference (runtime execution). While concerns persisted about an "AI compute gap"—initially a $200B, now a $600B problem—the market is now recognizing that the solution and value lie in the inference layer. Nvidia's financial restructuring around "serving tokens" and Cerebras's successful IPO highlight this shift. Inference is a recurring, usage-based cost, estimated to be 10-50x larger than the one-time training market, especially with the rise of agentic AI. The inference stack spans six layers: silicon (e.g., Nvidia), bare metal (e.g., CoreWeave), GPU rental/aggregation, deployment/optimization, model APIs, and end applications. Most companies operate in one layer. However, Hyperbolic uniquely spans three layers (GPU rental, deployment, and model APIs) without owning any hardware. It aggregates fragmented GPU supply from multiple cloud providers into a standardized pool, offering developers the cheapest available compute through intelligent routing. Its multi-cloud aggregation creates a data moat and a flywheel: more supply leads to better pricing data and liquidity, attracting more developers and providers. In contrast, applications like Venice operate at the top of the stack, reselling privacy-wrapped inference but remaining dependent on and constrained by the underlying compute costs they purchase. As inference demand explodes, value accrues not just to consumer applications but increasingly to the aggregation and routing layer that captures their cost of revenue. The coming potential GPU oversupply reinforces this dynamic. While hardware owners may suffer from depreciation, asset-light aggregators like Hyperbolic benefit from price arbitrage, routing workloads to the cheapest available capacity. The ultimate winner in the inference economy may not be the entity with the most GPUs, but the one that can most efficiently discover, aggregate, and route the world's fragmented compute.

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When Inference Becomes a Scarce Resource, Who Captures the Value?

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