Analysis

BTCUSDT Bitwise Sees $20 Trillion Economic Potential in AI and Crypto Synergy

Trillion Economic Potential

BTCUSDT: Crypto and AI Could Become a $20 Trillion Megatrend, Bitwise Predicts

The Bitwise Crypto research company said Crypto Industry and AI industry will grown $20 Trillion in the Global GDP in 2030. AI and Crypto using same high tech chips, advanced Cooling systems and Graphics processor. These two industries will concentrate other than mining, like Data validation, storages and Virtual Assistants. Core Scientific, Hut-8, IRIS Energy is planning for AI Hosting this year.

BTCUSDT Market price is moving in box pattern and market has fallen from the resistance area of the pattern.

BTCUSDT Market price is moving in box pattern and market has fallen from the resistance area of the pattern

According to a report by asset manager Bitwise, the convergence of Artificial Intelligence (AI) and cryptocurrency has the potential to contribute a combined $20 trillion to the global economy by 2030. This estimate highlights the significant impact of these technologies on global GDP.

Key points from the report include:

Economic Impact: The intersection of AI and crypto is projected to significantly boost global GDP by 2030. Senior crypto research analyst Juan Leon emphasized that this synergy could lead to a collective addition of $20 trillion to global economic output.

Resource Synergy: Bitcoin miners possess essential resources required by AI firms, such as powerful chips, advanced cooling systems, and supporting infrastructure. This overlap underscores the strategic advantage miners hold in supporting AI operations. For instance, CoreWeave’s recent acquisition of Core Scientific and subsequent $3.5 billion deal exemplify the growing demand for integrating AI services with mining infrastructure.

Predicts AI

Expansion in Data Infrastructure: The competition for AI dominance has spurred a shortage of critical resources like data centers, AI-specific chips, and electricity access. Major cloud computing companies are expected to invest approximately $200 billion in data center expansions by 2025 to meet the escalating needs of AI-driven applications.

Broader Applications: Beyond mining, AI and crypto can intersect in various domains, such as information validation and virtual assistants. This broadening of their applications signifies a deeper integration across industries, potentially revolutionizing sectors beyond finance and technology.

Overall, the report underscores the transformative potential of AI and cryptocurrency integration, predicting substantial economic gains and technological advancements globally by the end of the decade.

BTCUSDT: Analyst Predicts AI and Crypto Could Add $20 Trillion to Global Economy by 2030

Bitwise, a prominent crypto research firm, projects that the combined impact of the crypto and AI industries could significantly boost global GDP by $20 trillion by the year 2030. This forecast highlights the substantial economic potential resulting from the convergence of these two technological domains.

BTCUSDT is moving in box pattern and market has reached support area of the pattern.

BTCUSDT is moving in box pattern and market has reached support area of the pattern

Key points emphasized in Bitwise’s analysis include:

  1. Shared Technological Infrastructure: Both the AI and crypto industries utilize advanced technologies such as high-tech chips, sophisticated cooling systems, and powerful graphics processors. These shared resources underscore their synergistic potential beyond their primary uses in mining cryptocurrencies.
  2. Diversification Beyond Mining: Beyond traditional cryptocurrency mining activities, the integration of AI and crypto extends into areas such as data validation, storage solutions, and virtual assistants. This diversification leverages existing infrastructure to meet the computational and storage demands of AI applications.
  3. Strategic Initiatives: Companies like Core Scientific, Hut-8, and IRIS Energy are actively pursuing AI hosting initiatives in 2024. These initiatives aim to capitalize on existing infrastructure to support AI-related services, enhancing operational efficiency and exploring new revenue streams.
  4. Future Prospects: Bitwise’s outlook underscores the transformative potential of AI and crypto collaboration beyond their current applications. This includes advancements in data management, enhanced AI capabilities through blockchain technology, and the integration of smart contracts to streamline transactions and processes.

Overall, Bitwise’s analysis highlights the growing intersection of AI and crypto, predicting substantial economic growth and innovation as these industries continue to converge and expand their capabilities beyond traditional boundaries.

Global Economies

Senior crypto research analyst Juan Leon of Bitwise has projected that the intersection of artificial intelligence (AI) and cryptocurrency could collectively contribute $20 trillion to the global economy by 2030. In a recent memo, Leon highlighted the profound impact of these two industries merging, suggesting it will surpass current expectations.

Leon emphasized several key points:

  1. Economic Impact: The combined influence of AI and crypto could potentially add $20 trillion to global GDP by 2030. This estimation underscores the transformative potential of integrating these technologies across various sectors.
  2. Resource Shortages: The rapid expansion of AI capabilities has created shortages in critical infrastructure like data centers, AI chips, and electricity. Major players such as Amazon, Google, Meta (formerly Facebook), and Microsoft are anticipated to invest heavily—nearly $200 billion by 2025—to bolster their data center capacities to meet the burgeoning demand from AI applications.
  3. Role of Bitcoin Miners: Bitcoin miners, equipped with robust data processing capabilities, are poised to fill gaps in AI infrastructure. CoreWeave’s recent bid to acquire Core Scientific for $1.6 billion and its $3.5 billion deal to host AI services illustrate this trend, showcasing how mining operations can support AI data processing needs.
  4. Broader Applications: Beyond traditional bitcoin mining, Leon highlighted potential intersections in areas such as information validation and virtual assistants. Public blockchains could combat AI-generated misinformation, while smart contracts could enhance the functionality of AI assistants, leveraging cryptocurrencies like bitcoin and stablecoins for secure transactions.

The forecast of a $20 trillion economic boost from AI and crypto aligns with broader trends in technology adoption and economic productivity. As AI continues to integrate into various industries, its profound economic impact is expected to unfold gradually over the coming years, influencing sectors ranging from professional services to finance.

This convergence underscores a transformative period where technological advancements in AI and blockchain-based cryptocurrencies are poised to reshape global economic landscapes and productivity norms by the end of the decade.

BTCUSDT: Bitwise Forecasts Crypto and AI Could Boost Global GDP by $20 Trillion by 2030

Bitwise, a leading research entity in the cryptocurrency sector, forecasts a substantial $20 trillion boost to global GDP by 2030 due to the combined impact of the artificial intelligence (AI) and crypto industries. This prediction underscores the significant economic potential arising from the convergence of these two advanced technological domains.

BTCUSDT Market price is moving in Ascending channel and market has reached higher high area of the channel.

BTCUSDT Market price is moving in Ascending channel and market has reached higher high area of the channel

The analysis underscores several key points:

  1. Shared Technological Foundation: AI and crypto both rely on cutting-edge technologies such as advanced chips, sophisticated cooling systems, and powerful graphics processors. These technologies are pivotal not only in their respective areas of mining cryptocurrencies but also in supporting broader applications.
  2. Diversification Strategies: Beyond traditional mining operations, AI and crypto industries are expanding into areas like data validation, storage solutions, and the development of virtual assistants. This strategic diversification leverages existing infrastructure to meet the computational and storage needs of AI-driven applications.
  3. Corporate Initiatives: Companies like Core Scientific, Hut-8, and IRIS Energy are actively pursuing initiatives in AI hosting during 2024. These efforts aim to optimize existing infrastructure for AI-related services, enhancing operational efficiency and exploring new revenue opportunities.
  4. Future Outlook: Bitwise’s analysis anticipates significant advancements in data management and AI capabilities through blockchain technology. Moreover, the integration of smart contracts is expected to streamline transactions and operational processes, fostering further innovation and growth.

In summary, Bitwise’s assessment highlights the profound impact expected from the fusion of AI and crypto technologies, predicting transformative economic growth and technological advancement in the coming decade.

mining cryptocurrencies

According to Bitwise, the intersection of artificial intelligence (AI) and cryptocurrency could potentially contribute a combined $20 trillion to global GDP by 2030. In a report authored by senior crypto research analyst Juan Leon, the significant impact of these two industries merging was underscored.

Key points highlighted in the report include:

  1. Economic Potential: Bitwise predicts that the collaboration between AI and crypto will have a profound economic impact, potentially adding $20 trillion to global GDP by 2030. This estimation reflects the transformative capabilities of integrating AI’s computational prowess with blockchain technology and digital assets.
  2. Partnerships in Mining and AI: One of the emerging collaborations is between bitcoin miners and AI applications. While application-specific integrated circuits (ASICs) used in bitcoin mining aren’t directly suitable for AI tasks, mining firms possess crucial infrastructure—such as robust cooling systems, storage capabilities, and access to affordable electricity—that can support AI’s intensive computational and data storage needs.
  3. Case Study: CoreWeave and Core Scientific: An illustrative example is CoreWeave’s recent $1.6 billion offer to acquire Core Scientific, a bitcoin mining company. This move follows a $3.5 billion partnership to utilize Core Scientific’s data centers for AI-related services. Such initiatives aim to diversify revenue streams for mining companies in response to challenges like the bitcoin halving reducing block rewards.
  4. Blockchain-Based Validation: Beyond mining, blockchain technology offers opportunities for validating AI-generated content, mitigating risks like deep fakes and misinformation. Startups like Attestiv are leveraging blockchain to create verifiable digital fingerprints for videos, enhancing transparency and authenticity in media consumption.
  5. Smart Contracts and Virtual Assistants: Leon also highlighted the potential for integrating AI assistants with smart contracts and cryptocurrencies like bitcoin or stablecoins. This integration could streamline transactions and enhance productivity by reducing reliance on centralized oversight.
  6. Recent Developments: Other notable developments include the launch of AI-focused blockchains like Neura by Ankr and investments in AI-driven startups such as imgnAI and Bagel Network. These initiatives signify growing interest and investment in leveraging AI within decentralized and crypto-powered ecosystems.

Overall, the forecasted economic impact of $20 trillion underscores the potential synergy between AI and cryptocurrency, paving the way for innovative solutions across various sectors by the end of the decade.


🔥Stop trying to catch all movements in the market, trade only at the best confirmation trade setups

🎁 60% OFFER for Trading Signals 😍 GOING TO END – Get now: https://forexfib.com/offer/

Back to list