Core Scientific, traded as NasdaqGS: CORZ, is moving further into AI infrastructure after building its reputation in bitcoin mining. The stock closed at $20.745 and is up 29.7% year to date and 57.3% over the past year. Recent weakness, with the share price down 13.6% over the past week and 23.7% over the past month, forms the backdrop for this long-term agreement with AMD.
For investors, the 15-year AMD partnership highlights a clear pivot toward recurring AI data center services. The phased buildout across U.S. sites is described as supporting large-scale AI workloads and expanding Core Scientific’s addressable market. The following sections outline what this shift could mean for the company’s risk profile, revenue mix, and capital needs.
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The AMD deal puts Core Scientific more firmly on the AI data center side of the fence and less on pure bitcoin mining. The partnership reserves up to 2.5 gigawatts of capacity for AMD deployments and is tied to more than US$14b of base contracted revenue over 15 years. That scale helps frame Core Scientific’s recent decision to commit large capital to data center development, even as it reported sizeable losses. In Q2 2026, the company reported revenue of US$164.2m, up from US$78.63m a year earlier, but also a net loss of US$1,155.31m. Investors now have clearer visibility on how future AI infrastructure contracts could support that growing colocation revenue base.
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Investors should watch how quickly Core Scientific converts reserved AMD capacity into live, revenue generating deployments and how that compares with the capital it spends on new data halls and power infrastructure. Progress updates on grid connections, construction timelines and occupancy rates at sites in Texas, Oklahoma, Alabama and Georgia will be important. It is also worth tracking any changes in contract terms, such as pricing or utilization commitments, as well as how the AMD warrants are exercised. Finally, keep an eye on Core Scientific’s quarterly losses, cash runway and debt profile to see whether the shift toward AI data center operations is matched by improving financial resilience over time.
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