Bitcoin mining companies that have shifted capacity toward artificial intelligence data center leasing experienced a sharp average decline of roughly 35 percent in share prices during October 2026. The drop occurred even as signed long-term leases remained intact, and demand for grid-connected power sites continued to strengthen. Rising financing costs, hotter-than-expected inflation data, elevated oil prices, and broader negative sentiment toward debt-funded AI infrastructure projects drove the selloff more than any deterioration in underlying lease fundamentals. Public miners had spent recent years converting or expanding sites to host high-performance computing tenants, capitalizing on their existing power infrastructure as the critical bottleneck for AI growth shifted from chips to electricity.
Yet equity markets treated these names as leveraged AI plays rather than stable landlords, amplifying losses when macro conditions tightened. VanEck’s analysis highlighted that valuations for these firms sat at approximately half the level of comparable data center REITs on a 2028 EBITDA basis, suggesting the market undervalued the cash flows from multi-year contracts with investment-grade counterparties. The core dynamic is that power-secured mining sites offer a structural advantage for AI deployment timelines, yet higher interest-rate expectations and capital-market caution have temporarily overridden that advantage in share-price performance.
Key Takeaways
- AI-pivoted Bitcoin miner stocks fell ~35% on average in October 2026 despite intact leases.
- VanEck attributes the decline mainly to rising financing costs and negative macro sentiment.
- Hotter September CPI at 3.7% and oil near $116 revived Fed hike expectations.
- Power, not chips, remains the primary bottleneck for AI data center expansion.
- Existing signed leases alone may support values above current share prices if expansion pauses.
- Valuations trade at roughly half those of comparable data center REITs on 2028 EBITDA.
Rising Financing Costs and Macro Sentiment Overrode Lease Fundamentals
Shares of Bitcoin mining companies expanding into AI data center leasing fell approximately 35 percent on average in October 2026, according to VanEck. The decline occurred despite signed long-term leases remaining intact and demand for powered sites continuing to strengthen. VanEck attributed the selloff primarily to rising financing costs and negative macroeconomic sentiment rather than weakening lease fundamentals. These companies depend on debt and equity financing to convert mining facilities or expand high-performance computing capacity, making their valuations sensitive to higher capital costs. Meanwhile, long-term leases, often spanning 10 to 20 years and involving investment-grade tenants, provide relatively predictable revenue streams once facilities become operational. However, investors remained focused on financing risks and uncertainty surrounding AI infrastructure spending. VanEck noted that the value of existing signed leases could exceed prevailing market valuations for several companies, even if expansion plans were suspended. Although access to grid-connected power gives these operators a structural advantage as electricity becomes a critical constraint for AI development, October’s market performance demonstrated how tighter financial conditions can temporarily outweigh those underlying advantages.
Comparable data center REITs continue to command substantially higher multiples on a forward EBITDA basis. The mining-turned-landlord group traded at roughly half those levels when measured against 2028 expected earnings before interest, taxes, depreciation, and amortization. That valuation discount persisted even as lease demand signals improved, underscoring how sentiment and funding costs can temporarily detach equity prices from underlying asset quality. Operators with already energized sites enjoy shorter deployment timelines than greenfield data center projects, an advantage Bernstein and other analysts have previously quantified as potentially reducing build schedules by significant margins. October’s selloff therefore reflected a reassessment of financing risk more than a reassessment of power scarcity or tenant demand. Investors who had previously rewarded the AI pivot began applying a higher risk premium once inflation data and oil prices revived expectations of tighter monetary policy. The result was a broad de-rating across the cohort even while operational progress on leases continued. This pattern is consistent with other capital-intensive infrastructure transitions in which equity markets oscillate between growth narrative and funding discipline.
Hotter Inflation Data and Oil Prices Tightened the Capital Environment
September CPI data released in mid-October showed annual inflation rising to 3.7 percent, above the 3.6 percent forecast and August’s 3.4 percent. Higher gasoline prices, partly driven by geopolitical tensions that pushed Brent crude above $116 per barrel, contributed to the increase. The inflation surprise briefly raised expectations of a Federal Reserve rate hike, although officials later indicated no immediate urgency. Bitcoin mining companies with AI exposure experienced sharper losses than the broader market and Bitcoin, with IREN, Cipher, Hut 8, TeraWulf, and Core Scientific recording single-day declines exceeding 10 percent. The selloff reflected concerns about financing costs for debt-funded AI infrastructure projects, where construction expenses occur upfront while lease revenues build gradually. Higher interest-rate expectations reduce the present value of future cash flows and increase the financial hurdles for expansion. Meanwhile, natural gas prices declined during the same period, suggesting that investor concerns centered more on financing conditions and capital-market sentiment than rising operational energy costs.
Piper Sandler and other research firms adjusted price targets lower around the same window, citing inflation, oil, and the resulting pressure on credit markets for data center builds. The CoinShares Bitcoin Mining and Digital Power ETF reflected the sector-wide pressure with a double-digit decline on the day of the CPI print. Bitcoin itself declined only modestly by comparison, reinforcing that the selloff was more about AI-infrastructure funding risk than about the underlying cryptocurrency. Hedge-fund positioning data later indicated that institutions had been reducing AI-related exposure across several sessions in early-to-mid October, amplifying the move in the more leveraged mining names. The combination of sticky inflation readings and elevated energy prices created a less hospitable environment for any business model that depends on continuous access to cheap capital. Mining companies that had already signed long-term power and colocation agreements still faced equity-market skepticism about the cost of completing those builds. This macro overlay explains a substantial share of the 35 percent average decline even as physical demand for powered sites remained firm.
Power Scarcity Continues to Favor Grid-Connected Mining Sites
Industry analysis consistently identifies electricity and grid interconnection as the binding constraints on AI data center growth rather than the availability of advanced chips. Sites that already possess high-capacity power contracts and interconnection agreements therefore command strategic value. Bitcoin miners spent years securing precisely these resources at scale in locations with favorable energy economics. Converting or partially converting those sites to high-performance computing tenants shortens the time required to bring new AI capacity online compared with greenfield development. VanEck and other observers have highlighted that powered, grid-connected locations are becoming increasingly scarce precisely because of this demand. Long-term leases of 10 to 20 years with creditworthy counterparties lock in utilization and provide visibility that pure mining operations lack. The October share-price performance did not reflect any softening in these physical or contractual fundamentals. Demand signals continued to strengthen even while equity valuations compressed.
The economic differential between mining and AI hosting further supports the strategic logic. Estimates from CoinShares and related research place annual profit per megawatt for AI or high-performance computing hosting at roughly three times the level generated by Bitcoin mining under recent hashprice conditions. That gap incentivizes the reallocation of power capacity, which several listed miners have already executed or announced. The network hashrate itself has recovered toward prior peaks despite the reduction in public-miner output, indicating that other operators continue to expand traditional mining. The public names that pivoted therefore sit at the intersection of two markets: they still participate in Bitcoin production to varying degrees while simultaneously offering scarce power infrastructure to AI tenants. Equity markets in October focused on the capital intensity of the transition and the sensitivity of that capital to interest-rate expectations. The underlying scarcity of ready power capacity, however, remains intact and continues to underwrite the long-term lease thesis.
Valuations Trade at a Discount to Traditional Data Center REITs
VanEck’s October assessment placed the AI-pivoted mining cohort at roughly half the valuation of comparable data center real estate investment trusts when measured on 2028 EBITDA. This discount exists despite the presence of multi-year contracted revenues with investment-grade tenants in many cases. Traditional data center REITs benefit from longer operating histories, more diversified tenant bases, and more established capital-market relationships. Mining companies transitioning into the same business model carry residual Bitcoin exposure, conversion execution risk, and higher perceived leverage. The market therefore applies a steeper discount rate. VanEck argued that the value embedded in already-signed leases alone would exceed current equity market capitalizations if expansion were paused, implying that the growth optionality is being valued at zero or negative in some cases. That assessment frames the 35 percent decline as a potential overreaction to financing conditions rather than a permanent impairment of asset values.
Comparable transactions for powered AI capacity have occurred at materially higher per-megawatt prices than the implied valuations of some listed miners’ undeveloped or partially converted sites. The gap creates an arbitrage of sorts between public equity markets and private infrastructure valuations. Whether that gap closes depends on the path of interest rates, the pace at which leased capacity begins generating cash, and the market’s willingness to treat these companies primarily as infrastructure landlords. October’s price action demonstrated that the transition multiple remains fragile when macro conditions deteriorate. Investors continue to monitor the conversion of contracted backlog into billed revenue as the key proof point. Until a larger share of the multi-gigawatt contracted capacity is live and generating rent, equity valuations are likely to remain more sensitive to capital-market swings than to the long-term scarcity of power.
AI Contract Backlog Far Exceeds Current Billed Revenue
Publicly traded Bitcoin miners have disclosed more than $100 billion in AI and high-performance computing contract value across the sector. Only a fraction of that capacity, on the order of 550 megawatts out of roughly 4 gigawatts contracted, was generating billed revenue as of mid-2026 readings. Core Scientific has led in active billing with several hundred megawatts online, while other operators such as Hut 8 and TeraWulf have substantial capacity still under construction or in the early stages of tenant occupancy. The large gap between contracted value and current cash generation means equity prices embed significant expectations about future delivery. Any delay in construction schedules or any rise in the cost of completing those builds can compress the multiple investors are willing to pay. October’s financing-cost concerns landed precisely on this gap.
The conversion of mining infrastructure into AI-grade facilities requires capital intensity several times higher than pure mining builds. Estimates place the cost of AI-ready conversion in the range of $8 million to $15 million per megawatt versus well under $1 million for traditional mining infrastructure. Companies have therefore raised convertible notes, project financing, and equity to fund the transition. Cipher’s pricing of a sizable convertible note package occurred in the same window as the inflation-driven selloff, illustrating the simultaneous need for and sensitivity to capital markets. As more megawatts move from contracted to billed status, the earnings visibility should improve and potentially reduce the equity risk premium. Until that transition advances further, share prices remain more correlated with broader AI-infrastructure sentiment and interest-rate expectations than with the day-to-day economics of existing leases.
Public Miner Output Declined as Capacity Shifted to AI
Five publicly traded miners that have emphasized AI pivots, IREN, Core Scientific, Bitfarms, TeraWulf, and Cipher, produced 47 percent fewer bitcoins in the year-to-date period through mid-October 2026 compared with the same window in 2025. Their combined output fell from approximately 13,263 BTC to 7,075 BTC. Individual declines reached more than 50 percent for several names as sites were converted or power was reallocated. Bitfarms shut down its U.S. Bitcoin mining operations entirely in one of the more decisive pivots. In contrast, miners that remained focused primarily on Bitcoin production increased collective output by roughly 16 percent over the same period, limiting the overall decline among a broader ten-company cohort.
The network hashrate recovered toward the 1 zettahash-per-second level and stood only about 8–9 percent below its prior peak by late October, demonstrating that capacity removed by public AI-pivoting miners has been replaced by other operators. Difficulty adjustments in mid-October rose nearly 6 percent, confirming the rebound in aggregate computing power. The divergence between public-company output and network hashrate underscores that the AI transition is concentrated among listed firms with the balance-sheet capacity and capital-market access to fund conversions. Those same firms experienced the sharpest equity drawdowns in October because their equity stories had become more closely tied to AI capital cycles than to Bitcoin hashprice alone. The reduction in public-miner Bitcoin production is therefore both a strategic choice and a source of equity-market volatility when AI funding conditions tighten.
Hedge Fund Selling Amplified the Sector Move
Goldman Sachs prime-brokerage data indicated that hedge funds sold AI-related stocks for several consecutive sessions in early to mid-October, erasing net purchases accumulated since early 2025 in a relatively short window. Bitcoin mining names with the deepest AI exposure ranked among the hardest-hit within the crypto-equity complex. Cipher and IREN recorded monthly declines exceeding 40 percent in some calculations, far outpacing Bitcoin’s own modest move. The selling reflected a broader reassessment of the capital intensity required to meet exponential compute demand. One prime-brokerage commentary summarized the tension as demand that can grow exponentially while the capital available to finance it cannot. Mining companies that had positioned themselves as providers of scarce power capacity were caught in that reassessment.
The magnitude of the equity declines relative to Bitcoin and relative to pure semiconductor or cloud names illustrates the higher beta these hybrid stories carry. When risk appetite for AI infrastructure contracts, the most leveraged and most recently re-rated names experience the largest percentage moves. October provided a clear example of that dynamic. The underlying lease contracts and power scarcity did not change during the selling wave; the market’s willingness to underwrite the associated capital expenditures did. Subsequent stabilization in rates or clearer progress on billed megawatts would be required to reverse the de-rating. Until then, the sector remains exposed to swings in institutional positioning around the broader AI capital cycle.
Difficulty Increases and Hashprice Pressures Added Operating Headwinds
Bitcoin mining difficulty rose 5.92 percent in mid-October 2026, one of the larger adjustments of the year, with further increases anticipated in the subsequent epoch. Greater difficulty reduces the bitcoin output of any given machine, lowering revenue per unit of hash rate when the coin price is not rising commensurately. Several public miners that still maintain significant mining fleets therefore face simultaneous pressure from both the equity-market AI de-rating and the operating economics of their remaining Bitcoin production. Hashprice, the revenue per unit of hashrate, had already been constrained earlier in the year when Bitcoin traded well below prior peaks. The combination created a less forgiving environment for any residual mining operations.
Operators that have fully or largely exited mining avoid this particular headwind but still face the equity-market perception that they are AI infrastructure companies dependent on external financing. Those that maintain a dual model must manage both the capital intensity of AI conversion and the periodic difficulty and price volatility of Bitcoin mining. October’s concurrent rise in difficulty and compression of AI multiples therefore hit the hybrid cohort from two directions. The network’s overall hashrate recovery shows that mining itself remains viable for operators with low power costs and efficient fleets. Public companies that have chosen the AI path, however, are increasingly valued on the success of that path rather than on the residual mining economics.
Future Lease Economics Remain Supportive Despite Equity Volatility
VanEck’s central observation was that the market appears to be underestimating the value of the long-term leases already signed. Ten- to twenty-year contracts with investment-grade tenants provide a degree of cash-flow visibility that pure mining never offered. Once capacity is live and billing, these leases resemble the contracted revenue streams of traditional data center landlords more than the variable revenues of Bitcoin production. The October share-price declines occurred while those contracts stayed in force and while demand for additional powered capacity continued. The dislocation therefore centers on the interim period of construction and financing rather than on the end-state economics.
If interest-rate expectations stabilize or decline and if a larger share of contracted megawatts begins generating rent, the valuation gap to traditional data center REITs could narrow. The scarcity of ready power sites supports the argument that these leases will ultimately be valued more like infrastructure assets than like speculative growth stories. Until delivery risk diminishes and capital costs moderate, equity markets are likely to continue applying a higher discount rate. The 35 percent average decline in October quantifies the current size of that risk premium. It does not, on the evidence available, indicate that the underlying power-scarcity or lease-demand thesis has been invalidated.
Conversion Costs and Capital Structure Remain Key Variables
Turning a Bitcoin mining facility into an AI-ready data center requires substantial additional investment in cooling, power distribution, networking, and often building modifications. The capital intensity is several times higher than the original mining build-out. Companies have responded with a mix of project financing, convertible debt, and equity issuance. These capital structures increase sensitivity to both interest rates and equity-market conditions. When inflation data and oil prices revived rate-hike concerns, the cost of that capital rose in both absolute and relative terms. Equity holders bore the immediate mark-to-market impact.
Successful conversion therefore depends not only on securing tenants but also on completing the physical and financial build-out at acceptable cost. Delays or cost overruns would further pressure equity valuations. Conversely, timely delivery of billed capacity would demonstrate that the contracted backlog can convert into earnings and potentially support a re-rating. October’s price action served as a reminder that the market will not wait indefinitely for that proof. Operators with the strongest balance sheets and the most advanced construction schedules are better positioned to navigate the interim period. Those with heavier near-term funding needs remain more exposed to the same macro variables that drove the October declines.
AI Infrastructure Fears Expanded Beyond Bitcoin Mining Companies
Gartner and other research organizations issued warnings in the same period about the scale of AI infrastructure investment relative to projected revenues. One forecast highlighted the potential for more than $3.5 trillion of AI infrastructure spending to face impairment risk by 2030 if current directions continue, because the cumulative revenue required to support the capital and a reasonable return would substantially exceed expected enterprise and consumer AI spending. These broader concerns reinforced the market’s caution toward any company reliant on continuous heavy capital deployment for AI capacity. Bitcoin miners that had become associated with that capital cycle were caught in the same sentiment shift even though their specific power-site advantages differ from pure-play neocloud or hyperscale builds.
The result was a correlated selloff across AI infrastructure equities, with the more leveraged and more recently re-rated mining names experiencing larger percentage declines. CoreWeave and other specialized AI cloud providers also registered sharp drops on the same days. The common thread was skepticism about the pace at which capital can be productively deployed and earned back. Mining companies that already control the power side of the equation retain a structural edge, yet equity markets treated them as part of the same capital-intensive cohort in October. Differentiation on the basis of existing interconnection and power contracts will likely require clearer evidence of cash generation from those contracts.
Network Hashrate Resilience Highlights Divergent Strategies
While several large public miners reduced Bitcoin output to free power for AI tenants, the overall network hashrate rebounded toward previous highs. The 30-day average recovered more than 11 percent from its 2026 low and stood less than 9 percent below the all-time peak by late October. Difficulty adjustments confirmed the increase in aggregate computing power. This resilience indicates that the AI pivot among listed companies has not impaired the security or competitiveness of the Bitcoin network. Private and other public operators have continued to expand or maintain their hash rate, filling the gap left by the converters.
The divergence creates two distinct equity stories within the broader mining sector. Companies are still primarily focused on Bitcoin production and trade more directly with HashPrice and Bitcoin price. Companies that have committed substantial capacity to AI leases trade more with AI infrastructure sentiment, financing conditions, and the pace of capacity delivery. October’s 35 percent average decline concentrated in the latter group. Investors must therefore distinguish between the two strategies when evaluating the sector. The network itself has demonstrated an ability to absorb the reallocation of public-miner capacity without lasting disruption to hashrate. That fact supports the view that the AI transition is a corporate capital-allocation decision rather than a systemic threat to Bitcoin mining.
Conclusion
The October performance of AI-pivoted Bitcoin mining stocks reflected a temporary dominance of financing costs and macro sentiment over the longer-term scarcity of grid-connected power. Signed leases remained in place, demand signals continued, and valuations compressed to levels that, according to VanEck, appear low relative to the cash-flow potential of existing contracts. Whether the de-rating proves temporary depends on the path of interest rates, the speed at which contracted megawatts begin generating rent, and the market’s willingness to treat these companies as infrastructure landlords rather than leveraged AI growth stories.
Progress on billed capacity would provide the clearest evidence that the contracted economics can translate into equity value. Stabilization or easing of financing conditions would reduce the near-term pressure on capital structures. Until those conditions improve, the sector is likely to remain more volatile than traditional data center REITs and more sensitive to shifts in institutional risk appetite toward AI infrastructure. The structural advantage of already-powered sites has not disappeared; equity markets simply applied a higher discount rate to that advantage in October 2026.
FAQs
What caused the approximately 35 percent average decline in AI-pivoted Bitcoin mining stocks during October 2026?
VanEck’s research attributed the move primarily to rising financing costs and negative macro sentiment rather than any cancellation of leases or weakening of demand for powered sites. Hotter September inflation data at 3.7 percent, elevated oil prices, and the resulting increase in expected interest rates raised the cost of capital for companies converting or expanding data center capacity. Equity markets applied a higher risk premium to the interim construction and funding period even while long-term lease contracts stayed intact.
Did the signed AI leases remain in force during the selloff?
Yes. Available reporting indicates that signed leases continued without cancellation and that demand signals for grid-connected capacity actually strengthened. The price declines reflected capital-market conditions and sentiment toward debt-funded AI infrastructure rather than a deterioration in the contractual backlog itself.
Why do power-secured mining sites matter for AI data centers?
Electricity and grid interconnection have become the primary bottlenecks for large-scale AI deployments. Sites that already possess high-capacity power contracts and interconnection rights can be converted or expanded on shorter timelines than greenfield projects. Bitcoin miners accumulated these resources over years of mining operations, creating a structural advantage that underpins the long-term lease thesis even when equity valuations fluctuate.
How does the valuation of these miners compare with traditional data center REITs?
VanEck noted that the AI-pivoted mining cohort traded at roughly half the valuation of comparable data center REITs on a 2028 EBITDA basis. The discount persists despite multi-year contracts with investment-grade tenants, reflecting residual Bitcoin exposure, conversion execution risk, and higher perceived financing sensitivity.
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