Ethereum

    Bitcoin’s mining recovery could destroy itself

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    Mining services firm Luxor estimates that about 235 exahashes per second (EH/s) of capacity in specialized Bitcoin mining machines is sitting idle.

    Its Sept. 8 report puts that equipment in several categories: machines that are uneconomic, deliberately curtailed, in transit, or under maintenance. Their different reasons for switching off make a rebound in hashrate an ambiguous signal of recovery from financial distress.

    August’s Bitcoin rally improved the revenue available from mining, while Texas’s summer window for avoiding peak-related transmission charges runs through September.

    Either route can eventually add competition for the miners that stayed online. The revenue recovery that encourages a restart may become smaller once enough other operators make the same decision.

    According to Luxor’s August lookback, dollar-denominated hashprice rose 24.4% during the month, from $31.63 to $39.33 per petahash per second per day. Hashprice measures expected mining revenue for a given amount of computing power, before electricity and other expenses.

    Bitcoin’s price rose 24.5% over the same period, from $62,889 to $78,312 in Luxor’s data. A more valuable Bitcoin increases the dollar value of the rewards miners compete to earn.

    The improvement mattered for less efficient equipment, although the month still looked difficult overall. Luxor’s fleet tier consuming 25 to 38 joules per terahash generated about $45 per megawatt-hour on average in August, below its estimated network-average electricity cost of $48. That tier exceeded the benchmark on 11 days.

    Profitability depends on each operator’s power contract, financing, staffing, and other costs. The late-month revenue improvement helps explain why some machines that struggled earlier in the month could have become more attractive to operate as revenue improved.

    Luxor reports that blocks averaged 9 minutes and 34 seconds in August, faster than Bitcoin’s roughly 10-minute target. The Sept. 5 difficulty adjustment subsequently increased 1.31%.

    Metric July / start point August / end point Change Why it matters
    USD hash price $31.63 per PH/s/day $39.33 per PH/s/day +24.4% Higher mining revenue can bring marginal ASICs back online.
    Bitcoin price $62,889 $78,312 +24.5% BTC price drove most of the revenue recovery.
    25–38 J/TH fleet revenue — ~$45/MWh avg. Still below $48/MWh benchmark power cost Less efficient fleets improved, but did not fully clear average cost.
    Days above benchmark — 11 days Partial recovery Restart incentives may be episodic, not permanent.
    Sept. 5 difficulty move — +1.31% Margin headwind The network had already begun absorbing the rebound.

    What the missing 235 EH/s actually measures

    Luxor’s estimate compares roughly 1,150 EH/s of total net ASIC capacity with about 915 EH/s of activity implied by August’s average mining difficulty. The resulting 235 EH/s gap indicates the scale of sidelined capacity, using an equipment estimate and an activity measure derived from difficulty.

    An uneconomic machine needs better revenue, lower costs, or both, while a machine being transported or maintained needs to become operational again. Deliberately curtailed equipment may already be usable but temporarily worth more to its owner when switched off.

    The amount that could restart at a given hash price remains uncertain because Luxor leaves the individual categories unquantified.

    Luxor’s September 8 estimate of 1,150 EH/s ASIC capacity, 915 EH/s activity implied by August difficulty and 235 EH/s idle, with mixed shutdown reasons and a conditional restart-to-difficulty flow.Luxor’s September 8 estimate of 1,150 EH/s ASIC capacity, 915 EH/s activity implied by August difficulty and 235 EH/s idle, with mixed shutdown reasons and a conditional restart-to-difficulty flow.
    Infographic estimates 235 EH/s of idle Bitcoin mining capacity and outlines uneconomic, curtailed, in-transit, and maintenance reasons for inactive machines.

    Financial pressure can force equipment offline, but the same network-level decline can result from an operator responding rationally to electricity-market incentives. Both decisions can produce a similar decline in estimated computing activity.

    Blockchain.com explains that Bitcoin’s exact hashing power is unknown and must be estimated from difficulty and the rate at which blocks are found. Daily readings can fluctuate because block discovery is random, even when underlying computing power stays constant. A seven-day average is more representative.

    Smoothing cannot separate a distressed miner from one avoiding an expensive period of electricity use.