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WA
CEO & Editor-in-Chief
For crypto infrastructure companies, 2025 was not a year for grand narratives. It was a year for operational decisions, balance-sheet realism, and long-term positioning. For Phoenix Group, the year reflected a clear priority: securing and activating power, improving efficiency, and ensuring that infrastructure remains productive — whether for Bitcoin mining today or AI compute tomorrow.
At the core of the Phoenix Group mining and AI strategy is a simple reality. Mining and AI are not competing business models. They are both power businesses, dependent on the same scarce input: reliable, economical electricity. The difference between them lies not in strategic relevance, but in execution speed and complexity.
Both Bitcoin mining and AI workloads depend on the same fundamentals: access to reliable power, grid connectivity, cooling infrastructure, and long-term energy economics. As global demand for compute accelerates, power availability has become the primary bottleneck — often more difficult to secure than hardware or capital.
For miners, this constraint is familiar. Years of competing for low-cost electricity and building power-ready sites have positioned companies like Phoenix at the most constrained layer of the infrastructure stack. This is also why the narrative around miners “pivoting” to AI is often misleading. Mining and AI are built on the same energy foundation.
Where mining and AI diverge is execution speed.
Once a site is energized, Bitcoin mining can be deployed rapidly. Hardware installation is relatively standardized, and production begins almost immediately, allowing sites to generate hashrate and Bitcoin while infrastructure is fully utilized. AI data centers, by contrast, require longer development cycles, higher capital intensity, and additional operational layers, including advanced cooling systems, network redundancy, and contracted compute demand.
This timing gap gives miners a practical advantage. Within the Phoenix Group mining and AI strategy, mining allows power-ready sites to generate revenue immediately, while AI infrastructure is developed over a longer time horizon.
During the fourth quarter of 2025, Phoenix produced 351.7 BTC, up from the previous quarter, with 230.9 BTC generated through self-mining. The increase was driven by higher utilization and expanded capacity, reinforcing the company’s focus on infrastructure it directly controls.
Energy efficiency continued to improve. Average power costs declined to $0.049 per kWh, down from $0.052 in Q3, while fleet efficiency reached 20.6 J/TH, reflecting continued optimization of hardware and site-level operations.
Capacity expansion remained central to the Phoenix Group mining and AI strategy. In Ethiopia, Phoenix energized 62 MW during Q4, bringing total live capacity in the country to 82 MW. In the United States, an additional 5 MW was added in North Dakota, increasing that site’s total capacity to 55 MW. By year-end, Phoenix had 82 MW live in Ethiopia and 75 MW across North America, with further capacity secured across its pipeline.
These developments were not solely about increasing Bitcoin output. They established operating sites with live power, stable uptime, and predictable energy economics — the same prerequisites required for AI and high-performance compute infrastructure.
Disclaimer of Warranty
The information provided in this article is for general informational purposes only. We make no warranties about the completeness, reliability, and accuracy of this information. Read full disclaimer
For the full year 2025, Phoenix reported revenue of $118 million and adjusted EBITDA of $3.4 million, representing a significant year-on-year improvement. At the same time, the company reported a net loss, which requires careful interpretation.
The loss was driven primarily by unrealized mark-to-market movements in the digital asset portfolio, alongside non-cash impairment and depreciation charges, largely associated with a U.S.-based site. These items reflected accounting treatment rather than cash outflows or deterioration in day-to-day operations.
Phoenix also continued to actively manage its Bitcoin treasury, including selling BTC during the year to fund expansion, support operations, and maintain balance-sheet flexibility. This approach is standard across the mining sector, particularly in post-halving environments, and reflects disciplined treasury management rather than operational stress.
With respect to MMX, valuation adjustments related to the asset reflect current market conditions, and any historical exposure is no longer material to Phoenix’s operational treasury.
By year-end, Phoenix’s operational digital asset treasury primarily comprised Bitcoin and Solana, valued at approximately $120 million, providing liquidity and flexibility in a capital-intensive infrastructure business.
While mining remains the primary mechanism for activating power and generating revenue, Phoenix has also begun evaluating select sites for AI and high-performance compute compatibility. These assessments focus on power-density upgrades, cooling requirements, and network connectivity — areas where mining infrastructure naturally overlaps with AI needs.
Crucially, this is not being positioned as an abrupt pivot.
Commenting on the year, Munaf Ali, CEO and Co-Founder of Phoenix Group, said: “2025 was a year where Phoenix laid the foundations for its next phase of growth. While market conditions remained challenging, we used this period strategically, restructuring our operations, sharpening our focus on self-mining, and positioning the company to scale across digital infrastructure and AI compute.”
Phoenix’s approach highlights a broader reality across both mining and AI infrastructure. Power — not compute — is the decisive asset. Mining allows power-ready sites to generate revenue quickly, while AI infrastructure takes longer to design, certify, and commercialize.
Rather than choosing between mining and AI, the Phoenix Group mining and AI strategy treats mining as the mechanism that keeps infrastructure productive today, while preserving optionality for more complex compute workloads over time.
As demand for compute continues to rise, the more relevant question may not be whether miners can enter AI, but whether AI infrastructure builders — starting without secured power and operating sites — can move as quickly as miners who already control it.
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