Bitcoins are earning more than AI than miners: How is here

Why Bitcoiners turned to AI

2024 bitcoin halling reduced block rewards to 3.125 BTC, which cuts the income of miners in half. This change, high power cost, expected tools combined with maintenance and increased competition, made traditional mining less profitable. Many mining companies struggled to maintain their profit margin and started searching for other revenue sources.

Although bitcoin mining RLS on devices called Asics, mining companies have access to energy-erosion data centers and power infrastructure. As a deceased for calculating AI, many miners are re -prepared or upgraded with GPU to support AI training and information charge.

However, Artificial Intelligence demands immense computing power, to train large language models, power to autonomous systems and run enterprise AI tools.

As a race for tech companies to secure high-demonstration infrastructure, bitcoin mining firms are being stepped into firms. To take advantage of their existing energy-intensive data centers and upgrade with the GPU, many miners have started offering AI cloud services or have started renting spare capacity. This diversification allows them to generate stable, non-crypto income currents, reduces the dependence on volatile bitcoin (BTC) revenue.

This shift stops the effect of bitcoin healing and has produced more professional and stable revenue currents.

Do you know Both AI workload and bitcoin mining demand large -scale energy. By planning for both, miners can lease extra capacity to AI firms, crupto can withstand recession, convert stuck power into a stable cash.

Case Study: Core Science $ 3.5 billion lifeline

Core scientific is a strong example of how shifts for AI can help fix a struggling bitcoin mining company. After facing and filing financial differences for chapter 11 Banquerk at the end of 2022 due to low bitcoin prices and heavy loans, the company restructured and returned to the NASDAQ in early 2024.

In June 2024, Core Sciences signed an agreement, allowing Ner Science to use parts of its infrastructure to support the coronation’s high-demonstration computing needs, which was going away to prove AI services completely away from mining bitcoins.

Although the company’s revenue fell from $ 179.3 million to $ 79.5 million last year in the first quarter of 2025, the AI strategy promoted the in -investor Confederation. Company share price

By the mid -2025, the corevoy revived the negotiations to acquire the core science, one year ago after offering a failed $ 1 billion. This renewed interest highlights how the company’s meditation on AI reduced the impact of bitcoin’s urge and positioned it as a prominent player in the growing AI computing industry.

AI side hustle of Hut 8

Hat 8 has added AI as a secondary source of income that is ready to prioritize bitcoin mining. This business model combines stability and growth capacity through the five-yar contract that includes fixed payment and a revenue-shder component, which ensures stable with additional income opportunities based on the success of the customer.

In September 2024, the company launched a GPU-e-A-to-Service A subsidiary Highrise AI, using more than 1,000 NVidia H100 chips, special hardware for training and special hardware for upgraded AI models. The move marked the official enthusiast of Hat 8 in the high-demonstration computing (HPC) market.

Despite its enterprise, Hut 8 bitcoin is dedicated to mining. In the first quarter of 2025, it mined 167 BTC, a decrease from 716 BTC in the same period of 2024, roughly 2024 bitcoins. The company continues to invest in its mining infrastructure, supported by its 10,273 BTC’s important bitcoin reserve, making it the ninth largest bitcoin holder worldwide.

For Hut 8, AI serves as a supplemental strategy, keeping bitcoin mining as the origin of its long -term plan, brings variety in its revenue.

How hybrid models are receiving traction: Hive and Ireen

As bitcoin mining profits shrink, there are hybrid model ground ground in combination with AI calculations. Companies like Hive and Rain. They are diversifying the income of the existing infrastructure.

Hive digital technologies

East was known as the hive blockchain, the company resumed to reflect its broad high-high-demonstration computing ambitions in mid-2023. The hive investment to deploy Nvidia-Interested GPU clusters marks a decisive axis towards $ 30 million, AI workload.

This investment started early paying. In FY 2025, Hiven’s AI and HPC hosting HPC to REWenue up to $ 10.1 million, about 9%of its total revenue. Given further, Hive has set an ambitious target of $ 100 million in AI revenue by 2026, indicating a string commitment to expand its hybrid models.

Irin (Iris Energy)

Australian mining firm Ireen began its journey with just 248 GPUs in early 2024, and by mid -2025, it increased to over 4,300 units. The firm’s hybrid model is alridy generating results, 1,514 BTC mining in Q3 FY2025 White in $ 3.6 million from AI cloud services. To support this glory, Irene is creating AI-centric data centers in Texas and British Columbia.

Nevertheless, the company faces a challenge: a class-action case was filed.

How the major bitcoin miners are preparing for AI: riot platforms and mara holdings

While some bitcoin miners have already started earning revenue from AI, others are building foundations for future AI opportunities. Two major companies in the mining industry, riot platforms and Mara Holdings, are strategically planning for AI integration, focusing on bitcoin mining.

Riot platform

Searching for AI possibilities, riot platforms have assessed the ability to convert stars into 600 MW in their cursoring, Texas, facilitating high performance computing (HPC) infrastructure. Although the riot has not yet secured the important AI contracts, its cursed site covers 355 acres of land, with 1 gigawatt the ability to support computing power, giving it a decisive benefit.

Finanally, riot rimins 2025), is one of the largest corporate bitcoin reserves worldwide.

Mara holdings

Mara has the most broad bitcoin treasury among mining companies, with 50,000 BTC, second after a strategy among public companies. Its AI strategy focuses on Edge Computing, which involves developing its 2PAC700 immersion cooling system, the designed to handle the intensive company.

While the infrastructure is prepared near Mara, its AI efforts have not yet had significant contracts or material revenue. For now, a mot in a forward looking strategy with potential for future development.

Do you know Bitcoin mining depends on asses, but AI requires GPU like NVIDIA’s H100s. Some miners are now retroping data centers with GPU to support AI customers, creating a double -objective infrastructure that speaks the demands of both blockchain and AI.

An external case: Canaan Retreat from AI

While many bitcoin mining companies are searching for AI to broaden their income sources, Canaan has taken a different view.

In July 2025, the company shut down its chip division, away from the high performance computing sector. This decision focuses a renewed focus on its primary expertise: designing the application-edged integrated circuit (Asics) for bitcoin mining.

Instead of pursuing the growing AI market, Canaan is mainly carrying on its mining hardware for a competitive edge. Nevertheless, it is only 2.1% of the global Asic market, which is far behind contestants such as Bitman and Microbt.

Canaan is adopting a unique strategy when other people shift to AI by giving priority to mining-centered hardware and by strengthening their presences in markets like North American. The long -term success of this approach is not yet wide.

Do you know AI firms face pressure to go green. Bitcoin miners that use renewable energy like hydro or solar, which can attract hydro or solar, AI customers, looking to meet stability targets through claytest deals.

Major RISCS and Opposition for Miners entering AI market

As bitcoin miners are rapidly converting to AI, this infection offers opportunity and significant risk. Miners should carefully consider the following:

• Infrastructure cost vs. returns: ASIC-based mining requires adequate investment to go into GPU-based AI system. Money must be ensured
• Customer stability: AI clients, especially startups, may lack consignment or lack of long -term reliability. Miners should carefully evaluate customers so that payment omissions or services can be disrupted.
• Power supply reliability: AI operations demand continuous, high-energy use. Miners should secure stable, long -term power agreements and monitor the local grid capacity to prevent an outage or sudden price increase.
• Cooling and Thermal Management: AI chips, such as Nvidia H100s, produces significant heat. Inadequate cooling system can lead to equipment failures or low effectiveness.
• regulatory compliance: Hosting AI workload may include complex rules related to data privacy, intellectual data hosting, energy use, water consumption and carbon emissions. Miners should be prepared to navigate these rules.
• Market competition: As more miners enter the AI collection market, pricing may decline. Early entrances should establish benefits such as strategic space, low energy costs or large selling operations.
• Resource Stress: Extension of AI during operation may be more than financial and management resources.