Morgan Stanley: TeraWulf pivots bitcoin warehouses into AI "time-to-power" data centres

TeraWulf retools bitcoin warehouses to meet AI’s urgent power needs

Morgan Stanley initiates coverage of miners-turned-infrastructure providers and frames a clear pathway for TeraWulf to pivot from cryptocurrency production to AI compute hosting. Analysts led by Stephen Byrd argue that converting former bitcoin-mining operations into data centres creates a “time-to-power” solution that is in growing demand as hyperscalers and enterprises face a shortage of AI-ready compute and power capacity. TeraWulf is actively repurposing warehoused mining facilities and, under this thesis, gains strategic value by offering fast access to energized space that hyperscalers increasingly prize.

The bank’s note highlights a systemic shortage of AI compute-related supply and accelerated capital spending by cloud giants, which together push appetite and budgets for both compute and power higher. That dynamic makes time-to-power capacity — pre-wired, power-enabled facilities that can accept racks quickly — commercially attractive, and positions companies such as TeraWulf as potential bridge providers between idle mining sites and hyperscaler demand. Morgan Stanley further underscores persistent power-access bottlenecks in the United States and Europe, arguing that even if traditional data‑centre developers secure major bitcoin-company power allocations, the region-wide shortfall persists, reinforcing the strategic utility of repurposed mining assets.

Execution and financing remain central to whether TeraWulf converts strategic potential into sustained revenue growth. The bank projects that well-capitalised, operationally efficient miners-turned-data-centres can see multi-year revenue and margin expansion if they secure financing, manage conversion timelines and capex prudently, and mitigate operational execution risks. In practice, conversion requires upgrades to cooling, networking and physical security, as well as coordination with local utilities; TeraWulf’s progress on permitting, grid interconnections and project timelines will determine how quickly it can monetise time-to-power demand.

Additional developments and market context

Morgan Stanley issues “overweight” ratings on both TeraWulf and Cipher Mining, assigning price targets of $37 for TeraWulf and $38 for Cipher, figures the bank says reflect the firms’ potential value as AI infrastructure providers rather than pure miners.

The bank also flags key risks: potential credit constraints that would limit capacity expansion, the possibility that large‑language model scaling slows, and cost overruns in converting mining sites into data centres. Market context shows bitcoin is trading well below last year’s record, a backdrop that is motivating miners to explore alternative revenue streams.