Crypto Community Reacts as U.S. Strategy Push AI While Leaving Digital Assets Undefined

bitcoinistPublicado a 2025-12-09Actualizado a 2025-12-09

Resumen

The United States' new national security strategy, released by the Trump administration, has sparked debate in the crypto community by omitting any direct reference to digital assets or blockchain technology. The 33-page document instead prioritizes artificial intelligence, biotechnology, and quantum computing as core to the nation's technological ambitions. This silence on crypto contrasts with recent pro-crypto political statements and market momentum, creating policy uncertainty. While the strategy includes a vague reference to strengthening U.S. leadership in "digital finance," analysts see it as a broad gesture rather than concrete policy. The omission comes despite significant crypto-related actions this year, such as the GENIUS Act for stablecoins and the establishment of a national Bitcoin reserve. Following the release, Bitcoin's price briefly fell below $90,000, amid broader macroeconomic pressures. The industry is left navigating a familiar gap between political rhetoric and the lack of a comprehensive regulatory framework.

The United States’ new national security strategy has renewed debate across the crypto community after omitting any direct reference to digital assets or blockchain technology.

Released by the Trump administration, the document outlines the nation’s long-term security priorities and technological ambitions, yet its silence on crypto stands in contrast with both market momentum and recent political statements.

As global financial systems increasingly integrate digital assets, many observers see the absence as a signal of policy uncertainty at a time when regulatory clarity is becoming more important for industry growth.

ETH's price records small profits on the daily chart. Source: ETHUSD on Tradingview

Why Has AI Taken the Spotlight

Across its 33 pages, the strategy places artificial intelligence, biotechnology, and quantum computing at the center of America’s next-generation competition.

The administration states that U.S. technology and standards must “drive the world forward,” underscoring a focus on advanced computing rather than decentralized finance. Digital assets, which had gained prominence through previous remarks from officials, receive no explicit mention.

This stands at odds with comments from President Trump in recent months. In a CBS 60 Minutes interview, he warned that China should not become the global leader in virtual assets and insisted that Bitcoin mining should remain within U.S. borders.

A Subtle Reference, but No Clear Policy

While crypto is not named in the strategy, the document does reference strengthening American “leadership in digital finance and innovation.”

Analysts view this as a broad gesture rather than a firm policy direction, but it leaves open the possibility that digital assets may still influence future regulatory or economic strategies.

This ambiguity comes despite a year of significant pro-crypto actions. Measures such as the GENIUS Act for stablecoin oversight, the formation of a crypto enforcement task force, reduced regulatory pressures on exchanges, and opposition to a central bank digital currency have all shaped expectations.

The establishment of a national Bitcoin reserve, funded through forfeited digital assets, further signals that crypto remains a strategic consideration even if not formally acknowledged in the latest blueprint.

Market Response and Broader Implications

Currently trading around $91,900, Bitcoin briefly fell below $90,000 following the release of the strategy, a move compounded by broader macroeconomic pressures and anticipation of a Federal Reserve rate decision.

The administration’s call for increased defense spending among NATO allies has also raised questions about inflation and monetary policy, factors that could influence investor appetite for digital assets.

For now, the omission leaves the industry navigating a familiar gap of strong political rhetoric, scattered policy initiatives, but no comprehensive framework. As the U.S. centers its priorities around AI and quantum computing, crypto’s position in national strategy remains undefined. Is this the end of the ‘Crypto Administration’?

Cover image from ChatGPT, ETHUSD chart from Tradingview

Lecturas Relacionadas

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.

marsbitHace 13 hora(s)

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

marsbitHace 13 hora(s)

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.

marsbitHace 15 hora(s)

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

marsbitHace 15 hora(s)

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.

marsbitHace 15 hora(s)

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

marsbitHace 15 hora(s)

Trading

Spot
Futuros

Artículos destacados

Cómo comprar PUSH

¡Bienvenido a HTX.com! Hemos hecho que comprar Push Protocol (PUSH) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar Push Protocol (PUSH) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu Push Protocol (PUSH)Después de comprar tu Push Protocol (PUSH), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Push Protocol (PUSH)Tradear fácilmente con Push Protocol (PUSH) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

197 Vistas totalesPublicado en 2024.12.13Actualizado en 2025.03.21

Cómo comprar PUSH

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de PUSH (PUSH).

活动图片