Why Crypto Farms in Georgia Have Become a Subject of Dispute Over the Energy System

cryptonews.ruPublicado a 2026-08-23Actualizado a 2026-08-23

Resumen

Former National Bank president and opposition politician Roman Gotsiridze claims cryptocurrency mining farms in Georgia are straining the national energy system while contributing almost nothing to the state budget, operating on tax and electricity tariff privileges. He states the farms consume about 6% of domestically generated electricity, or roughly 1 billion kilowatt-hours annually—equivalent to the consumption of Batumi—maintaining a constant load on the grid linked to frequent infrastructure failures. While not advocating a blanket ban, Gotsiridze argues mining should operate under general business conditions, competing and paying taxes. He alleges the largest farm is linked to Bidzina Ivanishvili's ruling party clan and benefits from unjustified preferential treatment. His core demand is an immediate ban on cryptocurrency mining in free industrial zones, removing its privileged status, as the sector consumes vast energy with minimal fiscal return for Georgia.

Opposition politician and former president of the National Bank, Roman Gotsiridze, stated that crypto farms in Georgia create a dangerous load on the country's energy sector, contribute almost nothing to the budget, and rely on tax and tariff privileges.

Gotsiridze Accused Cryptomining of Putting Pressure on the Energy Sector

According to Roman Gotsiridze, cryptocurrency and mining themselves should not be a prohibited sphere if businesses operate under general conditions, compete with other industries, and bring real income to the country. However, as the politician claims, the situation in Georgia is arranged differently: crypto-mining companies are exempt from taxes and receive electricity on preferential terms.

According to Gotsiridze's estimate, crypto farms contribute almost nothing to the budget but constantly pressure the energy system; without tax and energy privileges, such companies would quickly cease operations.

Gotsiridze calls such enterprises consumers that take resources away from the energy system and the state budget. In his logic, the benefit of a regular economy is visible through several signs:

  • Investments.
  • Taxes.
  • Bank transactions.
  • Movement of US dollars or other currencies.

In the case of crypto farms, the politician asserts, the state receives disproportionately little compared to the amount of electricity spent on extracting digital assets, including Bitcoin.

Approximately 6% of Electricity and Constant Load

Roman Gotsiridze separately emphasizes the operating mode of crypto farms. Such facilities, according to him, do not stop either in winter or summer and keep the energy system under stable load around the clock. The politician links this to the increasing number of accidents in the energy infrastructure.

Gotsiridze's estimates on the load look like this:

  • Indicator: share of electricity produced in Georgia. Value: approximately 6%. Comment: when taking into account Abkhazia's consumption, the indicator, as Gotsiridze claims, becomes higher.
  • Indicator: annual consumption of crypto farms. Value: about 1 billion kilowatt-hours. Comment: the politician compares this volume with the annual consumption of Batumi and considers such a load too serious given the minimal return for the budget.

Political Context and the Demand for a Ban

Gotsiridze also claims that crypto farms are backed by representatives of the business clan of the ruling party "Georgian Dream." He links the largest crypto farm in the Gldani district to Bidzina Ivanishvili, asserting that he was the one behind its establishment.

The mining market overall is known for large technological players, including Bitfury, but the focus of Gotsiridze's statement is not a specific brand, but the very model of operation of such facilities in Georgia:

  • Preferential electricity.
  • Tax concessions.
  • Constant load on the grid.

The dispute around mining has long gone beyond the narrow topic of cryptocurrencies: similar discussions about the cost of energy for the industry are taking place in both Europe and the United States of America. For Georgia, according to Gotsiridze's position, the main question sounds simpler: should the country support a business that consumes enormous amounts of electricity but hardly fills the budget.

Cryptocurrency mining in free industrial zones must be banned immediately, declared Roman Gotsiridze.

Thus, the politician proposes not a point adjustment of conditions, but a tough solution: remove crypto-mining from free industrial zones and deprive the industry of a regime that he considers unjustifiably privileged.

end-content

Criptos en tendencia

Preguntas relacionadas

QAccording to Roman Gotsiridze, what is the main criticism against cryptocurrency mining farms in Georgia?

AAccording to Roman Gotsiridze, the main criticism is that cryptocurrency mining farms place a dangerous load on the country's energy system, contribute almost nothing to the state budget, and rely on preferential tax and electricity tariffs to operate.

QWhat specific privileges do cryptocurrency mining companies in Georgia receive according to the article?

AAccording to the article, cryptocurrency mining companies in Georgia are exempt from taxes and receive electricity on preferential, or discounted, terms.

QHow much of Georgia's produced electricity is estimated to be consumed by crypto farms, according to Gotsiridze's claims?

AAccording to Roman Gotsiridze, crypto farms consume approximately 6% of the electricity produced in Georgia. This percentage is said to be even higher when accounting for consumption in Abkhazia.

QWhich political figure and business clan is alleged by Gotsiridze to be behind the major crypto farms?

ARoman Gotsiridze alleges that representatives of the business clan of the ruling party 'Georgian Dream' are behind the crypto farms. He specifically links the largest farm in the Gldani district to Bidzina Ivanishvili, the party's founder.

QWhat specific policy action does Roman Gotsiridze propose regarding cryptocurrency mining in Georgia?

ARoman Gotsiridze proposes an immediate ban on cryptocurrency mining within free industrial zones. He advocates for removing the industry from these zones and stripping it of the preferential regime he deems unjustified.

Lecturas Relacionadas

U.S. Aims at Iran's Crypto Sector Due to Oil Payments Exceeding $100 Billion

The U.S. Treasury Department has expanded sanctions on Iran to target its digital asset sector, citing over $100 million in cryptocurrency payments allegedly used to facilitate Iranian oil sales. The Treasury’s Office of Foreign Assets Control (OFAC) announced new sectoral sanctions covering digital assets, technology, gold, aviation, and shipping, alongside sanctions against nearly 60 entities, individuals, and vessels linked to nuclear, missile, cyber, and oil networks. The move allows OFAC to sanction foreign persons and firms operating in or supporting Iran’s crypto sector, which the Treasury stated is increasingly used as a "tool of choice" to circumvent sanctions, including by the Islamic Revolutionary Guard Corps (IRGC). Specific targets include Ukrainian broker Ivan Obukhov and his UAE-registered firm Foscom FZE, accused of processing over $100 million in crypto payments to facilitate oil sales for the IRGC’s Quds Force. This follows recent U.S. actions against Iran-linked crypto exchanges, including sanctions against UK-based Zedcex and Zedxion in January, four Iranian exchanges including Nobitex in June, and exchanges Shelbit and Aban Tether in August. Unlike previous targeted sanctions, the new measures establish a framework to penalize broader involvement in Iran’s crypto sector, significantly expanding OFAC’s authority under Executive Order 13902. Designated persons’ U.S.-linked property will be blocked, and foreign banks facilitating significant transactions for them may face U.S. account restrictions.

cryptonews.ruHace 22 min(s)

U.S. Aims at Iran's Crypto Sector Due to Oil Payments Exceeding $100 Billion

cryptonews.ruHace 22 min(s)

Conversation with Charles Zhang: Amidst the AI Frenzy, Why Pursue 'Anti-Efficiency' Content?

Dialogue with Charles Zhang: In the Era of AI's Sprint, Why Create "Anti-Efficiency" Content Standing out among China's early internet pioneers, Charles Zhang, founder and CEO of Sohu, maintains a distinct personal identity. He keeps a consistent public presence and embodies traits of high-energy individuals: sleeping only 4-5 hours daily, running 5km or marathons, and hosting frequent offline tech forums and dialogues with Nobel laureates. He has shifted focus from external business expansion to internal self-reconstruction, adhering to his own pace. "People aren't afraid of being busy; the busier you are, the better your health. Having nothing to do can lead to emotional issues and poor health." Marking the 10th anniversary of his live-streamed "Charles Zhang's English Class," he recently took it offline for a real-world classroom session. Following this, he discussed the course's decade-long journey, Sohu Video's content ecosystem, and the value of content in the AI era. **Pen and Mouth Diligence: A Class Against Instant Mastery** His English class began in August 2016 on "Qianfan Live." He spends about 40 minutes daily preparing, reviewing dozens of news headlines, reading five in detail, and selecting three for the lesson. Over ten years, he has completed over 2000 live sessions totaling more than 110,000 minutes, with over 52 million views. Initially, the stream was a way to "talk more" and combat emotional struggles. He started by repeating after TV news anchors, then moved to live-streaming with the launch of Qianfan Live. It was 40% for personal emotional regulation ("like a monk chanting sutras"), 30% to deliver authentic news, and 30% to promote the new platform. This daily "ritual" helped him overcome depression, leading to what he calls his "peak life state." From a product perspective, it was counter-intuitive—launched without prior market research or growth strategies, based on the founder's personal need that resonated with users. Yet, his content creation follows a strict routine. The decade of covering geopolitics, economics, tech, health, and society has built a vast "knowledge compound interest" system. In an age of AI summaries and algorithmic content, Zhang insists on "hard work": meticulous reading, handwritten notes, and manually created teaching materials, refusing AI-generated content. The English class is now a fixed daily rhythm; preparing for his weekly physics class requires a full day of solitary deduction on a blackboard. In his live streams, Zhang positions himself as a "content creator," not a CEO or teacher. He sees physics as extreme brain training and English as a "sensor" to understand the world. This explains why a top entrepreneur persists for a decade in seemingly "unprofessional" pursuits—it's the information input and psychological healing method he found during a low point. It's fundamentally an "anti-efficiency" commitment. He believes the meaning of reading lies in finding community and spiritual support, not just fleeting conversation points. For today's media, he states: "Reading news isn't the goal. As humans with many confusions, we need reference points, to find a group, find kindred spirits, or seek support and spiritual nourishment. Large language models can't satisfy these starting points; they only give you information." This offers solace and a value defense for media professionals impacted by AI summaries. **"Don't Think Earth Stops Turning Because AI Arrived"** A content creator expressed anxiety: after feeding their article to AI, it produced a more comprehensive, profound version, making their work feel valueless. Zhang responded with an analogy: "Carrots from the market, with a bit of soil, not glossy, taste delicious and flavorful. Tomatoes forced by chemical fertilizer have no taste at all." He sees AI giving world content a "plastic feel," but acknowledges its significant role in improving information access efficiency, especially in physics and social science research where he often queries AI for quick professional answers. The key, Zhang stresses, is that the outside world still needs to guide our perspective. LLMs provide "information," while the outside world offers "viewpoints." He cares deeply about *what* that external viewpoint is and *how* someone thinks about an issue. "Don't think the Earth stops turning because AI arrived," he analyzes. AI currently replaces rule-based work, noting significant impact on the software industry with many programmers laid off as even less experienced people can now write decent code. However, AI cannot yet replace arts, social sciences, emotions, and creative content. "Hollywood remains thriving, producing great works. Oscars will continue, Nobel Literature Prizes will still be awarded—all by real people, with works conceived by real people." While wary of AI, Zhang isn't anti-technology and is open to its applications. Sohu itself has launched AI assistants. In Sohu's AI practice, Zhang defines his role as a "large language model corpus provider." He believes LLM training is inseparable from human-original content as its data foundation, so original content retains irreplaceable value. "The era of self-media indeed offers everyone new ways to discover their strengths and achieve growth." He suggests every young person should consider self-media. Most importantly, the bottom line of content creation should be "authenticity." If using AI avatars, they must be clearly labeled; not doing so and misleading viewers wastes their time, especially when people still prefer real human content. Behind AI's sprint lie unavoidable realities. As AI quickly provides seemingly perfect answers, people grow accustomed to accepting "summarized" results, omitting processes of questioning, deduction, and trial-and-error, leading to a decline in deep thinking. Zhang's "anti-efficiency" practice with his two live-streamed classes is his answer to AI's狂奔: In an algorithm-driven era chasing ultimate efficiency, don't expect AI to fill inner voids. Read books, speak in front of a camera, sweat on a running track, and build connections with real people.

marsbitHace 32 min(s)

Conversation with Charles Zhang: Amidst the AI Frenzy, Why Pursue 'Anti-Efficiency' Content?

marsbitHace 32 min(s)

Zcash's ETF Gilding: How a Privacy Coin Was Packaged by Wall Street into a Compliant Asset

The article traces the decade-long path of Zcash (ZEC), a privacy-focused cryptocurrency, to its potential launch as the first privacy coin spot ETF, with Grayscale's ZCSH filing in August 2026. It argues ZEC's suitability stemmed not from regulatory acceptance of its privacy technology, but from its centralized, institutional structure from inception—a commercial company (ECC) with venture capital backing and a Founder's Reward—making it easier to package than decentralized alternatives. Three key institutions, intertwined in a network, drove the process: Grayscale (owned by DCG, an early ZEC investor), which had held ZEC in a trust since 2017; Coinbase, providing custody, prime brokerage, derivatives, and venture investment; and ZODL, a new for-profit entity formed in 2026 when ECC's core development team split from the non-profit foundation. The major regulatory hurdle was SEC scrutiny (2023-2026) over ZEC's historical structure, which resembled an unregistered investment contract due to automatic block rewards to ECC and the Foundation. This was resolved through governance changes (NU6 upgrade in 2024) that ended direct funding and shifted control to community voting, coinciding with a broader shift in SEC enforcement policy. Notably, the law firm Davis Polk represented both the Zcash Foundation in its SEC defense and Grayscale in the ETF filing. The push is also driven by DCG's dire financial needs amid Genesis bankruptcy lawsuits, seeking high-fee products (the ZEC ETF charges 2.5%). Concurrently, major mining operations by entities like Cypherpunk Technologies (backed by Winklevoss Capital) and DCG's Fortitude Mining expanded, motivated by profitability and aiming to influence the network. The article concludes with irony: to become a compliant ETF asset, ZEC must shed its core privacy feature for the fund's holdings, which will be held in transparent, auditable addresses. Wall Street is not adopting privacy technology but packaging the *concept* of privacy into a tradable, fee-generating financial product. The transformation was not a single master plan but the result of a network of aligned interests capitalizing on regulatory, governance, and market shifts over ten years.

marsbitHace 42 min(s)

Zcash's ETF Gilding: How a Privacy Coin Was Packaged by Wall Street into a Compliant Asset

marsbitHace 42 min(s)

Trading

Spot

Artículos destacados

Qué es $BANK

Banco AI: Un Paso Revolucionario en el Futuro de la Banca Introducción En una era marcada por avances rápidos en tecnología, Banco AI se sitúa en la intersección de la inteligencia artificial (IA) y los servicios bancarios. Este proyecto innovador busca redefinir el panorama financiero, mejorando la eficiencia operativa, las medidas de seguridad y las experiencias del cliente a través del poder de la IA. Al embarcarnos en esta exploración de Banco AI, profundizaremos en lo que implica el proyecto, sus dinámicas operativas, su contexto histórico y hitos significativos. ¿Qué es Banco AI? En su esencia, Banco AI representa una iniciativa transformadora destinada a integrar la inteligencia artificial en varias operaciones bancarias. Este proyecto aprovecha las capacidades de la IA para automatizar procesos, mejorar los protocolos de gestión de riesgos y mejorar la interacción con los clientes a través de servicios personalizados. Los objetivos principales de Banco AI incluyen: Automatización de Funciones Bancarias: Al aprovechar las tecnologías de IA, Banco AI tiene como objetivo automatizar tareas rutinarias, reduciendo la carga sobre los recursos humanos y mejorando la eficiencia. Mejora en la Gestión de Riesgos: El proyecto utiliza algoritmos de IA para predecir e identificar riesgos, fortaleciendo así las medidas de seguridad contra fraudes y otras amenazas. Personalización de Servicios Bancarios: Banco AI se centra en ofrecer productos y servicios financieros a medida al analizar datos y comportamientos de los clientes. Mejoramiento de la Experiencia del Cliente: La implementación de soluciones impulsadas por IA, como chatbots y asistentes virtuales, tiene como objetivo proporcionar a los usuarios interacciones más humanas, revolucionando la forma en que los clientes se relacionan con los bancos. Con estos objetivos, Banco AI se posiciona como un jugador crucial para hacer que la banca sea más eficiente, segura y centrada en el usuario. ¿Quién es el Creador de Banco AI? Los detalles sobre el creador de Banco AI siguen siendo desconocidos. Como tal, no se ha identificado a ninguna persona u organización específica en la información disponible. El anonimato que rodea el inicio del proyecto plantea preguntas, pero no resta valor a su ambiciosa visión y objetivos. ¿Quiénes Son los Inversores de Banco AI? Al igual que con el creador del proyecto, no se ha divulgado información específica sobre los inversores u organizaciones que apoyan a Banco AI. Sin esta información, es un desafío delinear el respaldo financiero y el apoyo institucional que podrían estar impulsando el proyecto hacia adelante. No obstante, la importancia de contar con una sólida base de inversión es fundamental para sostener el desarrollo en un campo tan innovador. ¿Cómo Funciona Banco AI? Banco AI opera en múltiples frentes innovadores, centrándose en factores únicos que lo diferencian de los marcos bancarios tradicionales. A continuación, se presentan las características operativas clave: Automatización: Al aplicar algoritmos de aprendizaje automático, Banco AI automatiza varios procesos manuales dentro de los bancos. Esto resulta en la reducción de costos operativos y permite que los trabajadores humanos redirijan sus esfuerzos hacia actividades más estratégicas. Gestión Avanzada de Riesgos: La integración de la IA en las prácticas de gestión de riesgos equipa a los bancos con herramientas para predecir con precisión amenazas potenciales como el fraude, garantizando que la información y los activos de los clientes permanezcan seguros. Recomendaciones Financieras Personalizadas: A través del aprendizaje continuo a partir de las interacciones con los clientes, los sistemas de IA desarrollan una comprensión matizada de las necesidades del usuario, lo que les permite ofrecer consejos adaptados sobre decisiones financieras. Interacciones Mejoradas con los Clientes: Al utilizar chatbots y asistentes virtuales impulsados por IA, Banco AI permite una experiencia más atractiva para el cliente, permitiendo a los usuarios resolver sus consultas rápidamente, reduciendo así los tiempos de espera y mejorando los niveles de satisfacción. En conjunto, estas características operativas posicionan a Banco AI como un pionero en el sector bancario, estableciendo nuevos parámetros para la entrega de servicios y la excelencia operativa. Línea de Tiempo de Banco AI Entender la trayectoria de Banco AI requiere mirar su contexto histórico. A continuación, se presenta una línea de tiempo que destaca hitos y desarrollos importantes: Inicios de 2010: La conceptualización de la integración de la IA en los servicios bancarios comenzó a ganar atención a medida que las instituciones bancarias reconocieron los posibles beneficios. 2018: Se produjo un aumento notable en la implementación de tecnologías de IA cuando los bancos comenzaron a utilizar herramientas de IA como chatbots para el servicio al cliente básico y sistemas de gestión de riesgos para mejorar la seguridad. 2023: La sofisticación de la IA continuó avanzando, con la introducción de IA generativa para tareas más complejas como el procesamiento de documentos y análisis de inversiones en tiempo real. Este año marcó un salto significativo en las capacidades que la tecnología de IA otorgó a los bancos. 2024-Estatus Actual: A partir de este año, Banco AI se encuentra en una trayectoria ascendente, con investigaciones y desarrollos en curso que pronto mejorarán las capacidades en las operaciones bancarias. La continua exploración de las aplicaciones de IA sugiere emocionantes desarrollos aún por venir. Puntos Clave Sobre Banco AI Integración de la IA en la Banca: Banco AI se centra en adoptar inteligencia artificial para optimizar los procesos bancarios y mejorar la experiencia del usuario. Enfoque en Automatización y Gestión de Riesgos: El proyecto enfatiza fuertemente estas áreas, con el objetivo de desplazar la carga de tareas rutinarias mientras mejora los marcos de seguridad a través de análisis predictivos. Soluciones Bancarias Personalizadas: Al aprovechar los datos de los clientes, Banco AI permite servicios bancarios adaptados a las necesidades individuales de los usuarios. Compromiso con el Desarrollo: Banco AI se mantiene comprometido con esfuerzos de investigación y desarrollo continuos, asegurando su adaptabilidad y relevancia continua a medida que la tecnología sigue evolucionando. Conclusión En resumen, Banco AI ejemplifica un paso crucial hacia adelante en la industria bancaria, aprovechando la inteligencia artificial para redefinir los paradigmas operativos, mejorar la seguridad y promover la satisfacción del cliente. A pesar de las lagunas en la información sobre el creador y los inversores, los objetivos claros y los mecanismos funcionales de Banco AI proporcionan una sólida base para su evolución continua. A medida que la tecnología de IA sigue avanzando y fusionándose con el sector bancario, Banco AI está bien posicionado para impactar significativamente el futuro de los servicios financieros, mejorando la forma en que entendemos e interactuamos con la banca.

318 Vistas totalesPublicado en 2024.04.06Actualizado en 2024.12.03

Qué es $BANK

Cómo comprar BANK

¡Bienvenido a HTX.com! Hemos hecho que comprar Lorenzo Protocol (BANK) 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 Lorenzo Protocol (BANK) 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 Lorenzo Protocol (BANK)Después de comprar tu Lorenzo Protocol (BANK), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Lorenzo Protocol (BANK)Tradear fácilmente con Lorenzo Protocol (BANK) 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.

1.0k Vistas totalesPublicado en 2025.05.09Actualizado en 2026.06.02

Cómo comprar BANK

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 BANK (BANK).

活动图片