Bitcoin mining and AI are moving in opposite directions structurally – and the divergence is widening fast enough to constitute a systemic danger signal to anyone who values network resilience in their models.
According to analysis from Galaxy research and Grand View Research, Bitcoin’s hash rate has been highly standardized from its early distributed architecture, while AI infrastructure is moving toward decentralization through edge computing deployments that distribute processing across nodes rather than concentrating it in centralized data centers.
The governing concept here is what we call “central asymmetry”: two of the most capital-intensive technology sectors are developing in opposite directions at the same time, and the consequences for network security, regulatory exposure, and risk profiles for investors have not been adequately priced. Bitcoin is designed to be decentralized. AI was not, yet AI is now moving in this direction faster than Bitcoin can hold its ground.
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Bitcoin mining transition chain from ASIC dominance to pool focus
The transport chain works like this: hardware manufacturing concentration feeds pool consolidation, which feeds hash rate dominance, which feeds systemic risk at the protocol level. ASIC production is currently dominated by three companies – Bitmain, MicroBT, and Canaan – meaning supply chain disruptions or hardware-level regulatory interventions flow directly into mining capacity. Bitmain equipment has been seized by US Customs over compliance concerns in recent years, showing that this is not a theoretical vulnerability.
The concentration at the complex level has worsened significantly over the past two years. From 2019 through 2022, the top two groups accounted for approximately 35% of the global hashrate, while the top six accounted for approximately 75%.
By December 2023, those numbers had risen to 55% and 90%, respectively, according to data tracked by b10c’s Mining Centrality Index — and conditions deteriorated further through 2025. As of this year, the top four pools control an estimated 75% of the hash rate, with the top six mining 95% to 99% of all blocks.
source: For 10 EGP
In March 2025, Foundry USA mined seven consecutive blocks, and in the process isolated two valid blocks of AntPool and ViaBTC. No transactions were lost, but this incident demonstrated precisely the kind of protocol pressure that emerges under sustained hashrate concentration – the dominance of a single pool that produces real interference in block propagation without triggering formal threshold alarms.
The comparison with China’s post-2021 mining ban is useful but incomplete: that episode temporarily redistributed hash rate across jurisdictions; The current adjustment process is structural, not geopolitical, and is difficult to reverse. Geopolitical turmoil can also accelerate the problem, as evidenced by 77% collapse in hash rate in Iran When regional conflict put an estimated 427,000 devices out of action – removing a meaningful distributed participant and increasing effective concentration among the remaining groups.
The AI countertrend: Edge computing and what the difference actually signifies
The most important signal is not the centralization of Bitcoin mining in isolation — it is the concurrent decentralization of the AI infrastructure, which reframes the asymmetry of centralization as something broader than just a Bitcoin-specific governance discussion.
Edge computing distributes inference and training workloads across geographically dispersed nodes, reducing reliance on hyperscale data centers in a way that structurally reflects Bitcoin’s original design intent.
source: Galaxy research
The irony is hard to miss: the Bitcoin mining sector was supposed to outcompete the competition on the basis of decentralization, and now it implements the rules of decentralization more credibly.
We believe this difference is driven in part by economic factors accelerated by the mining companies themselves. Public miners are driving utilities toward setting up AI data centers — reducing their Bitcoin hashrate commitments in favor of renting out higher-margin computes — at the same time, amplifying pool dominance among operators that remain and validating the AI infrastructure model they are migrating toward.
Bitfarms’ infrastructure is focused on artificial intelligenceimplemented under the Keel Infrastructure brand, is one of the most visible examples of this dynamic: a major mining operator reduces its hash footprint while allocating capital to the decentralized infrastructure trend on the other side of the ledger.
What is not priced appropriately is the feedback loop. Each miner exiting Bitcoin to calculate the AI reduces the pool of independent hash rate contributors, increasing the relative weight of the remaining large pools, worsening the mining centralization index, increasing the likelihood of a protocol-wide stress event triggering regulatory scrutiny across all jurisdictions where mining operates at scale. Centrality asymmetry is not constant, but complex.
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Daniel Francis is a technical writer and Web3 educator specializing in macroeconomics and DeFi mechanics. A crypto native since 2017, Daniel brings his background in cross-chain analytics to author evidence-based reports and detailed guides. It is certified by the Blockchain Council and is dedicated to providing “information gain” that cuts through the market noise to find blockchain’s real-world utility.
