Decentralized Crypto Compute Powers AI as LLM Adoption Hits 46%

Shweta Chakrawarty

about 8 hours ago

Decentralized compute networks are meeting the rising demand for AI power, with 46% of US workers now using LLMs, up from 30.1% in late 2024.

Decentralized Crypto Compute Powers AI as LLM Adoption Hits 46%

Quick Take

Summary is AI generated, newsroom reviewed.

US workplaces show a significant jump in Large Language Model (LLM) adoption, hitting 45.9%.
Spheron Network offers a decentralized solution for scalable and cost-effective AI computation.
The trend of crypto-focused firms, like Bitfarms, pivoting to AI computing is growing.
This shift leverages existing crypto infrastructure to power next-generation AI models.
The news highlights a new era where blockchain technology supports the AI revolution.

Large Language Models (LLMs) are gaining traction in U.S. workplaces. Recent data shows 45.9% of U.S. workers now use LLMs, up from 30.1% in December 2024. Adoption grew quickly early in 2025, reaching 43.2% by April.

Chart: LLM Adoption – US Workers 18+ by AlphaTarget

Growth slowed slightly after, but the overall trend shows steady uptake. Employees are not just using these tools. They are using them more heavily. This spike is driving demand for faster and larger-scale AI computation.

Spheron Network Steps In

The rise of AI has created a need for scalable and cost-efficient compute power. Spheron Network aims to meet this demand through community-driven infrastructure. The platform provides decentralized compute that can handle the inference requirements of next-generation AI models. By distributing workloads across a global network, Spheron makes AI computation more accessible and affordable for developers and businesses alike.

Spheron emphasized that this shift is not just about more users. It is about heavier usage per person and the growing complexity of AI models. Its decentralized approach allows the network to scale efficiently while keeping costs lower than traditional cloud services.

Crypto’s Role in AI Computing

The pivot from crypto mining to AI computation is gaining attention. Bitfarms, a once crypto-focused firm, has transitioned to high-performance computing (HPC) and AI tasks. CEO Ben Gagnon said the market for AI compute is massive, especially for companies with existing power capacity. Spheron Network highlighted this trend. They note that decentralized networks are well-positioned to supply compute in this new era. The network leverages unused resources and tokens to create incentives, aligning crypto innovation with the AI revolution.

The Road Ahead

As LLM adoption continues to climb, demand for reliable and scalable compute will keep rising. Decentralized solutions like Spheron Network may play a critical role in shaping the next stage of AI. Businesses, developers, and individual users can benefit from distributed compute models. That offers flexibility and cost efficiency. This shift shows how crypto infrastructure can evolve beyond coins. By powering AI models, decentralized networks are filling the gap between blockchain technology and the future of AI.

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