Más de 100 ETPs de Criptomonedas se Lanzarán Pronto, pero Muchos No Sobrevivirán

TheNewsCryptoPubblicato 2025-12-18Pubblicato ultima volta 2025-12-18

Introduzione

El entorno de inversión en criptomonedas experimentará un cambio significativo el próximo año, con más de 100 nuevos productos cotizados (ETP) previstos para su lanzamiento. Sin embargo, analistas del sector advierten que muchos de estos productos no sobrevivirán más allá de 2027 debido a la falta de inversores y la baja acumulación de activos. La saturación del mercado amenaza a estos nuevos lanzamientos, con 126 solicitudes pendientes de aprobación por la SEC. Tendencias históricas respaldan estas preocupaciones: 622 ETFs cerraron a nivel global en 2023, siendo los flujos insuficientes y los bajos activos bajo gestión las principales causas. Los nuevos estándares regulatorios han acelerado las aprobaciones pero también han permitido el ingreso de productos más especulativos. El desempeño reciente muestra divergencias: los ETFs de Bitcoin atrajeron $57.6 mil millones en 2024, mientras que los de Ethereum recaudaron $12.6 mil millones y los de Solana solo $725 millones. La viabilidad de cientos de nuevos productos compitiendo por capital limitado sigue en duda.

El próximo año, el entorno de inversión en criptomonedas experimentará un gran cambio. Las proyecciones indican que se lanzarán más de 100 nuevos productos cotizados en bolsa. Sin embargo, algunas voces de la industria han expresado su preocupación de que una gran cantidad de estos productos no podrán continuar su actividad después de 2027 debido a la falta de inversores y la baja acumulación de activos.

La Saturación del Mercado Amenaza a los Nuevos Productos

Según James Seyffart de Bloomberg, una cantidad considerable de liquidaciones de ETPs de criptomonedas tendrá lugar hacia finales de 2026 o durante 2027, a pesar de la esperada oleada de lanzamientos. En este momento, hay más de 126 solicitudes esperando la luz verde de la SEC, lo que resulta en una situación de mercado muy saturada en la que los emisores están experimentando simultáneamente con múltiples productos.

Las preocupaciones sobre la sostenibilidad de los productos están respaldadas por tendencias históricas, ya que el año pasado cerraron 622 ETF en todo el mundo, de los cuales 189 cerraron solo en Estados Unidos. La vida media de los ETF estadounidenses, que están programados para cerrar en 2023, es de 5.4 años, según la investigación realizada por Morningstar. Las principales razones de los fracasos son la falta de entradas suficientes y los bajos activos bajo gestión, lo que hace imposible que sean rentables.

El entorno regulatorio experimentó un cambio significativo cuando la SEC implementó estándares genéricos de listado en septiembre, eliminando así las revisiones de aplicaciones caso por caso. Con esta alteración, las aprobaciones se aceleran; sin embargo, también hace posible que se introduzcan cada vez más productos especulativos en el mercado, entre los cuales hay ETF relacionados con memecoins como el token de Melania Trump.

Diferentes vehículos de inversión en criptomonedas han mostrado resultados muy diferentes en el rendimiento reciente del mercado. En solo unas semanas después del primer día de negociación en enero de 2024, los ETF de Bitcoin atrajeron una cantidad masiva de $57.6 mil millones en entradas, mientras que después de su lanzamiento en julio de 2024, los productos de Ethereum solo lograron reunir $12.6 mil millones. Las ofertas más recientes tienen tasas de crecimiento más lentas, ya que los principales ETF de Solana solo han podido recaudar $725 millones desde finales de octubre.

De hecho, varios productos ya han cedido a las demandas del mercado este año, entre los cuales dos estrategias de ARK 21Shares se concentran en Bitcoin y Ethereum. El alejamiento de Bitcoin y Ethereum hacia altcoins como Litecoin, Solana y XRP fue un éxito moderado; sin embargo, todavía hay dudas sobre si el mercado podrá soportar cientos de nuevos productos compitiendo por unos pocos capitales de inversores.

Destacado de Noticias Cripto Hoy:

La Exclusión de Criptomonedas del Tesoro de MSCI Podría Desencadenar una Venta Masiva de $15B en el Mercado

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Breaking: Google Earth Urgently Pulls Back Nano Banana 2 Image Generation Feature!

Google Earth's newly launched "Create image" feature, powered by the Nano Banana 2 AI image generation model, was abruptly withdrawn shortly after its release due to being "played" by users. The feature allowed users to generate and overlay AI-created visuals directly onto real-world satellite and 3D maps in Google Earth. The tool enabled creative applications like historical recreations (e.g., visualizing ancient Pompeii), generating informational graphics for landmarks, and envisioning architectural projects or futuristic cityscapes on real terrain. It operated under "geospatial grounding," meaning the AI respected the underlying geography, topography, and perspective of the chosen map view. The model also integrated with Gemini to retrieve relevant factual information. However, upon release, users quickly tested its limits. A prominent example involved reimagining Philadelphia's historic Independence Hall as a post-apocalyptic ruin overrun by "happy" zombies, evil clowns, and giant alien mechs. This highlighted both the feature's playful potential and its risks regarding the generation of inappropriate or misleading content on realistic maps, leading to its swift temporary removal. Google stated it would re-release the feature after implementing "enhanced guardrails." Analysts note this move strategically leverages Google's vast proprietary geospatial data, positioning its AI not just for artistic generation but for spatially accurate world visualization—a unique advantage in the competitive AI image generation landscape.

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Breaking: Google Earth Urgently Pulls Back Nano Banana 2 Image Generation Feature!

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Altman Admits: Overestimated AI Snatching Jobs! Huang Renxun: The Unemployment Narrative Is Completely Backwards

Sam Altman has revised his earlier predictions about AI rapidly replacing jobs, admitting he overestimated the speed at which AI would eliminate entry-level white-collar roles. Speaking on the "Invest Like the Best" podcast, he stated that people do not truly want an AI CEO, as accountability and human connection remain critical. He found that individuals prefer interacting with people who can be held responsible for decisions. Similarly, NVIDIA's Jensen Huang argued that the narrative of AI destroying jobs is misguided. He distinguishes between tasks and jobs, noting that while AI can automate specific tasks, entire jobs—encompassing communication, judgment, coordination, and accountability—are not eliminated. He cited examples like radiologists and software engineers, where demand for these roles has increased as AI handles repetitive tasks, allowing for business expansion and the creation of more positions. Data from a University of Maryland and LinkUp study supports this, showing that U.S. job postings for new graduates have actually risen, countering the fear of vanishing entry-level roles. However, a significant shift is occurring: the traditional entry-level tasks that help newcomers gain experience are being automated, making initial career access more challenging. The key insight is that as AI takes over standardized tasks, the enduring value of human work shifts toward areas of responsibility, trust-building, and final decision-making—aspects that AI cannot replicate. The real "moat" for professionals lies in these irreplaceable human elements.

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Altman Admits: Overestimated AI Snatching Jobs! Huang Renxun: The Unemployment Narrative Is Completely Backwards

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A Major Change at the Fed? Report: Wash Considers Reducing Frequency of Policy Meetings, Breaking 40-Year Precedent

The Federal Reserve Chairman is considering reducing the number of regular Federal Open Market Committee (FOMC) meetings held each year, a potential major shift from the current practice of eight meetings annually that has been in place since 1981. According to a report, the proposal was discussed internally, with possible details finalized ahead of the September meeting. This change would mean fewer formal opportunities to vote on interest rates and could diminish the Fed's ability to respond to economic data while reducing market access to policy signals, marking a reversal of the central bank's long-term trend towards greater transparency. While the 1935 Banking Act sets a legal minimum of four meetings per year, historical meeting frequency has varied. The move aligns with the Chairman's broader agenda of institutional reform since taking office, which includes revising communication practices and data usage. An internal memo from 1988 had previously concluded that the eight-meeting schedule remained appropriate. If implemented, this reduction in meetings would significantly reshape the Fed's operational rhythm and its interaction with financial markets.

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A Major Change at the Fed? Report: Wash Considers Reducing Frequency of Policy Meetings, Breaking 40-Year Precedent

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Weekly Editor's Picks (0725-0731)

Weekly Editor's Picks (0725-0731) provides a curated selection of deep analysis, filtering out market noise. Key themes from this week include: **Macro & Policy:** The Federal Reserve's upcoming meeting is marked by high uncertainty, balancing cooling inflation data against persistent price pressures. Meanwhile, the U.S. crypto regulatory Clarity Act faces critical political hurdles, with its 2026 passage probability seen as low. **Investing & Crypto:** Analysis suggests long-term crypto success depends on conviction through volatile cycles, focusing on assets like Bitcoin and core smart contract platforms. A trend noted is the increasing similarity between global equity markets (especially tech) and crypto, driven by narrative and leverage. Several major crypto protocols show strong revenue growth, but this isn't always translating to token price appreciation due to sell pressure and structural factors. **AI & Semiconductors:** Nvidia's rising credit default swap rates signal market concern over AI infrastructure financing risks. The storage sector experienced volatility as markets began pricing in potential 2027 oversupply. Despite a record profitable quarter, SK Hynix's results were deemed "below expectations," reflecting heightened investor demands for future growth visibility. **Markets & DeFi:** TradeXYZ demonstrated remarkable accuracy in pre-market pricing for a major A股 listing. The token ONDO saw gains, linked to its growing role in the on-chain tokenized stock ecosystem. **Ethereum:** Post-Pectra upgrade, a major structural shift is underway as Lido begins migrating millions of ETH to new validator architectures designed for capital efficiency. **Also Highlighted:** Butian's bullish stock market move; OpenAI's Altman promising major advances; Samsung and SK Hynix securing large AI chip deals; Apple reaching a $5T market cap; and ongoing discussions around exchange security following Poolin's bankruptcy case.

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Low Investment Isn't Apple's Immunity Pass

While Meta and Google face investor scrutiny over ballooning AI capital expenditures, Apple's minimal AI investment has paradoxically become a strength. Its market cap recently reclaimed the global top spot, surpassing $5 trillion. The irony is deep: Apple's own AI efforts have lagged, with "Apple Intelligence" delayed and core talent lost, forcing reliance on partners like Google Gemini and Alibaba's Qianwen. Its Q3 FY2026 (Q2 CY) earnings initially seemed stellar. Revenue hit $109.4B (up 16% YoY), with iPhone and Mac sales, growing 22% and 29% respectively, driving most of the growth. However, the stock fell over 8% post-earnings. The primary concern was a weaker Q4 revenue growth forecast of 9-11%, below expectations, due to looming supply chain constraints. Apple is feeling the indirect cost of the AI boom. Soaring memory and chip prices, fueled by massive data center investments from Microsoft, Amazon, and others, are forcing Apple to raise Mac and iPad prices significantly. The upcoming iPhone launch is also expected to see substantial price hikes. Despite avoiding heavy AI infrastructure spending—its capital expenditures are actually down 28%—Apple cannot escape the industry-wide supply and cost pressures. While Apple's operating cash flow remains robust, its substantial R&D spending (up 32% YoY) has yet to yield major AI breakthroughs. As Tim Cook prepares to step down as CEO, Apple faces a challenging transition: balancing its premium hardware success against the strategic and cost pressures of the AI era it has so far cautiously navigated.

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Low Investment Isn't Apple's Immunity Pass

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