Energy Investors Forum panels concluded that Bitcoin mining sites cannot automatically transition to AI infrastructure despite controlling grid connections. The forum brought together generators, utilities, data-center developers, miners, investors and policymakers who identified that sites may still lack fiber, high-density cooling, transmission capacity, equipment, permits, creditworthy tenants or community consent. EIF founder Nishant Sharma stated that physical infrastructure also needs social infrastructure, describing the need for public trust and community engagement alongside power development. The forum's analysis suggests the market is sorting between energy projects suited for hyperscale AI campuses versus those better positioned for distributed inference, flexible Bitcoin mining, grid services or behind-the-meter industrial demand.
Cambridge Centre Reports Mining Electricity Consumption Increase to 190 Terawatt-Hours
Alexander Neumüller of the Cambridge Centre for Alternative Finance presented preliminary findings from the next edition of Cambridge's digital-mining research. The underlying survey represented more than half of global Bitcoin mining activity.
Estimated annual mining electricity consumption increased to about 190 terawatt-hours from 138 TWh between June 2024 and December 2025. Estimated emissions rose to roughly 48 million metric tons of CO₂ equivalent from about 40 million. The estimated low-carbon share of mining's electricity mix increased to 59.4% from 52.4%.
About 10% of respondents said they had already allocated some power to AI or accelerated computing. More than 40% of the remaining respondents said they were actively exploring AI or HPC diversification. Nearly nine in 10 respondents expected AI/HPC diversification to become a strategic industry theme.
Alpine Fox's Alfred Describes Transition from Speculative Mining to Contractual AI Business
Mike Alfred, founder and managing partner of Alpine Fox, used his EIF fireside chat to explain why he believes power-rich miners are being recast as AI-infrastructure investments.
"I think we have 20 or 30 really good years for building power, data centers and other capabilities and infrastructure for AI," Alfred said. "I think Texas is Mecca. I think Texas is the most important data-center market in the world."
Alfred described the transition as going "from a speculative business on the commodity price of bitcoin to now a contractual, repeatable business based on AI." He argued that miners that secured land and electricity when those assets were undervalued can now use the same positions to pursue contracted data-center revenue.
Alfred cautioned that the choice of business model will divide the sector's winners and losers. "The big divide in the data-center business amongst the folks who started in bitcoin mining and are now in AI is whether or not to own the GPUs yourself," he said. "If you choose to own them, you better have a good reason why. It's potentially more lucrative, but also potentially more risky."
For miners seeking a less technology-dependent model, Alfred pointed to colocation where the tenant owns the GPUs, servers and racks, while the infrastructure company supplies power, cooling, connectivity and the building. "That model looks more like a REIT," he said. "It looks more like a real-estate business. It's much more conservative. It's easier to finance."
Soluna Holdings Targets Curtailed Renewable Energy for Computing Facilities
John Belizaire, chief executive of Soluna Holdings, described a model built around locating computing facilities beside renewable-generation assets whose output is constrained or curtailed. Rather than entering a new interconnection queue from scratch, Soluna seeks to modify an existing generation interconnection and add data center load.
Belizaire said that approach can take a fraction of the time required to secure a new grid connection. Soluna's larger thesis is that curtailed wind and solar generation represents "a source of energy that's hiding in plain sight": electricity that may not reach the grid but can be monetized by colocated compute.
Several panelists argued that the next phase may be more distributed than the first wave of enormous AI campuses. Clusters of 10-to-20-megawatt facilities could sometimes connect faster, require less upfront capital and offer geographic redundancy.
TeraWulf's Kentucky Development Cited as Mining-to-AI Conversion Example
One panel discussed the hybrid strategy with a name: the mullet — AI in the front, Bitcoin mining in the back. The premise is that mining can monetize a power position while a developer prepares the site for an AI tenant.
A panel moderator pointed to TeraWulf's Kentucky development and a reported long-duration AI lease as evidence that a former mining site could become a major AI asset.
Panelists disagreed on whether the mullet is a durable operating model or merely a bridge between businesses. Bitcoin mining can tolerate interruptions and can often earn money by curtailing when the grid is strained, while AI customers usually require firm power, tight service-level agreements and substantially greater redundancy. Mining containers can be deployed quickly and replaced in modules, while AI facilities require expensive cooling, networking and electrical systems designed for rapidly increasing rack density.
Industry Faces Community Acceptance Challenges Over Electricity and Water Use
Data center projects are encountering questions about electricity prices, water, noise, local hiring, tax incentives and the number of permanent jobs they create. Speakers said developers often arrive too late — after residents have encountered a project through social media or a public-hearing notice.
Curtis Harris of Compass Mining argued that developers should show up in communities "early and often," well before a formal hearing. "It's not you, it's us," Harris said, directing the criticism at the industry. "We're the ones who need to be better."
Harris cited a company outreach effort at an Iowa county fair that emphasized three claims residents could evaluate directly: the operation curtails when requested by the local utility, its mining machines use no water, and it hires local contractors and technicians.
Texas state Rep. Jared Patterson argued that lobbying in Austin is not a substitute for local support. Industry participants need to explain the tax base, school funding, grid relationship and actual water design of a project in terms relevant to residents, he said.
FAQ
What did the Energy Investors Forum conclude about Bitcoin mining sites transitioning to AI infrastructure?
Energy Investors Forum panels concluded that Bitcoin mining sites cannot automatically transition to AI infrastructure despite controlling grid connections. The forum identified that sites may still lack fiber, high-density cooling, transmission capacity, equipment, permits, creditworthy tenants or community consent. EIF founder Nishant Sharma stated that physical infrastructure also needs social infrastructure, describing the need for public trust and community engagement alongside power development.
What did Cambridge Centre research find about Bitcoin mining electricity consumption?
The Cambridge Centre for Alternative Finance reported that estimated annual mining electricity consumption increased to about 190 terawatt-hours from 138 TWh between June 2024 and December 2025. Estimated emissions rose to roughly 48 million metric tons of CO₂ equivalent from about 40 million. The estimated low-carbon share of mining's electricity mix increased to 59.4% from 52.4%. About 10% of respondents said they had already allocated some power to AI or accelerated computing.
How did Mike Alfred describe the transition from Bitcoin mining to AI infrastructure business?
Mike Alfred, founder and managing partner of Alpine Fox, described the transition as going "from a speculative business on the commodity price of bitcoin to now a contractual, repeatable business based on AI." Alfred argued that miners that secured land and electricity when those assets were undervalued can now use the same positions to pursue contracted data-center revenue. He cautioned that the choice of business model will divide the sector's winners and losers, particularly regarding whether to own GPUs or pursue a colocation model.
