Morgan Stanley backs miners Cipher and TeraWulf as fast route to AI compute
- Morgan Stanley starts coverage of Cipher and TeraWulf with overweight ratings, citing miners' conversion to fast AI compute capacity.
- Morgan Stanley says AI compute shortages and power bottlenecks make converted miners strategically valuable for immediate rack and power access.
- Morgan Stanley warns of execution risks — financing, conversion costs, scaling limits — yet projects multi‑year revenue and margin expansion.
Morgan Stanley backs miners as fast route to AI compute capacity
Morgan Stanley is initiating coverage of bitcoin miners Cipher Mining and TeraWulf with "overweight" ratings, arguing the firms can repurpose mining facilities into data centres that address an acute shortage of AI compute and power. Analysts led by Stephen Byrd say the conversion of former mining warehouses into "time‑to‑power" capacity offers hyperscalers and enterprises a quicker path to on‑demand compute than greenfield builds, and they set aggressive price targets reflecting that strategic potential.
The bank frames the call around a structural squeeze in AI compute supply and rising hyperscaler capital expenditures, which make firms willing to pay premiums for immediate access to power and rack space. Morgan Stanley highlights persistent power‑access bottlenecks in the United States and Europe, saying even if large developers secured available capacity from bitcoin companies they would still fall short of demand. That scarcity, the note says, boosts the strategic value of well‑located miners that can convert existing infrastructure into cloud and AI hosting capacity.
Morgan Stanley also flags material execution risks that could blunt the opportunity. The analysts warn of potential credit constraints for expansion, scaling limits for large language models, conversion cost overruns and the operational challenge of retrofitting mining sites for hyperscaler requirements. Despite those caveats, the bank projects multi‑year revenue and margin expansion for well‑capitalised, operationally efficient miners‑turned‑data‑centres if they secure financing and meet conversion timelines prudently.
Altruist’s Hazel stokes sector debate
Separately, the launch of Altruist’s Hazel AI tax‑planning tool is prompting fresh debate about AI’s impact on financial services. The platform’s ability to automate customised tax strategies intensifies investor and industry scrutiny of how automation may reshape advisory margins; Morgan Stanley strategists characterize recent market reactions as potentially "outsized and overdone" and continue to view many wealth managers as positioned to benefit from AI productivity gains.
Macro backdrop tightens financing focus
Markets face a wider backdrop that matters to data‑centre and financial strategies: U.S. Treasury yields tick higher after reports China asks banks to curb U.S. Treasury holdings, and the New York Fed’s inflation expectations precede key U.S. payrolls and CPI prints later in the week. Those dynamics could influence borrowing terms and capital availability for miners and data‑centre developers seeking to finance conversions.