The aggregate AI compute buildout now represents one of the largest sources of new electricity demand in the United States, arriving at the same moment bitcoin miners are deciding whether to mine bitcoin or rent their infrastructure to AI companies.

A gigawatt of mining capacity earns revenue that swings with bitcoin's price and network difficulty. The same gigawatt rented to an AI company earns contracted, predictable cash flows. At $69,000 bitcoin with difficulty at all-time highs and energy costs rising alongside every other industrial consumer competing for grid capacity, the AI rental often pays better. (CoinDesk)

That decision is increasingly going one direction. Core Scientific converted a significant portion of its mining capacity to AI hosting through a deal with CoreWeave. Iris Energy and Hut 8 have expanded their AI and high-performance computing revenue. Riot Platforms, MARA Holdings, and Genius Group disclosed selling more than 19,000 BTC from their treasuries last week, a sign that mining economics alone are not sustaining operations at current prices and difficulty levels.

A bitcoin miner running a gigawatt of capacity earns revenue that fluctuates with bitcoin’s price and network difficulty. The same gigawatt rented to an AI company earns a contracted rate with predictable cash flows.

At $69,000 bitcoin with difficulty at all-time highs and energy costs rising alongside every other industrial consumer competing for the same grid capacity, the AI rental often pays better.

The revenue numbers behind the expansion tell their own story. Anthropic said the number of business customers spending more than $1 million annually on Claude has doubled from 500 to over 1,000 in less than two months.

None of this means bitcoin mining is dying, however. The network’s hashrate continues to hit record levels above 1 zetahash per second.

But the miners who survive the current cycle may look less like energy companies that produce bitcoin and more like infrastructure companies that happen to mine bitcoin on the side while renting their real asset, cheap power at scale, to an AI industry that cannot build data centers fast enough.

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Encryption Supremacy - Zcash and Privacy in the Age of Scale

Most crypto privacy models weaken as blockchain data grows. Encryption-based models like Zcash strengthen. CoinDesk Research maps the five privacy approaches and examines the widening gap.

Why it matters:

As blockchain adoption scales, the metadata available to machine learning models scales with it. Obfuscation-based privacy approaches are structurally degrading as a result. This report provides a comprehensive comparison of all five major crypto privacy architectures and a framework for evaluating which models remain durable as AI capabilities improve.

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Stani Kulechov, founder and CEO of Aave, speaks at Consensus 2019.

A key sticking point is Aave’s V4 upgrade, which introduces a new architecture and significantly expands the scope of risk management.

What to know:

  • Chaos Labs exits Aave, citing “fundamental misalignment” on risk strategy, rising complexity from V4, and unsustainable economics despite a $5M budget proposal.
  • The departure follows exits of ACI and BGD Labs, raising concerns about continuity, risk management and operational stability as Aave enters its next phase.

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