Bitcoin mining is trending toward greater centralization while artificial intelligence shows signs of moving in the opposite direction, Galaxy Research head Alex Thorn said. Mining, which began as a hobbyist activity on personal computers, has evolved into an industry dominated by specialized ASIC hardware and large-scale data farms. By contrast, AI began concentrated in massive cloud clusters, but improvements in models and efficiency are opening the door to on-device intelligence.
Thorn summarized the contrast bluntly: “If local models keep getting smaller, cheaper, and more efficient, AI may become increasingly personal and on-device.” That potential shift would make AI more distributed across devices and users, whereas continued concentration of mining power risks consolidating influence over Bitcoin’s validation process and raising long-term resilience concerns.
Edge AI is expected to grow rapidly. Grand View Research projects the global edge AI market to expand from roughly $25 billion in 2025 to about $119 billion by 2033. This surge is being driven by the proliferation of IoT and connected devices, demand for real-time, low-latency processing, wider deployment of automation across industries, and increasing emphasis on data privacy and localized intelligence.
Meanwhile, economic pressures are reshaping where Bitcoin is mined. A KuCoin report found that rising energy costs have made mining uneconomical in parts of the United States, with the cost to mine a single bitcoin topping $100,000 in some regions. That has pushed hash rate toward countries in the Global South, where plentiful hydroelectric resources—seen in places like Paraguay and Ethiopia—offer lower-cost power.
This geographic migration could create a different kind of decentralization: by dispersing mining capacity across continents, the network may become less vulnerable to any single country’s political shifts or energy disruptions. Still, the overall trend toward specialized hardware and industrial-scale operations keeps centralization risks on the table.
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