OpenAI's ambitious $500 billion Stargate data center project is facing significant delays due to tariff-related economic uncertainty, as reported by Bloomberg, with investors growing wary amid rising costs for server components and concerns about potential overcapacity in the data center market.
Trump's sweeping "reciprocal tariffs" announced in April 2025 pose a significant threat to AI development and data center expansion in the United States. The tariffs impose a baseline 10% tax on all imports, with much steeper rates for specific countries: 34% on China, 32% on Taiwan, 25% on South Korea, and 46% on Vietnam-all critical suppliers of electronics and data center equipment.12 While semiconductors received an initial exemption, the administration has signaled targeted chip tariffs may follow, creating additional uncertainty.2
The economic impact on AI infrastructure is substantial, with industry analysts estimating construction costs for commercial projects will increase by 3-5%.3 Major tech companies like Microsoft, Alphabet, and Amazon-already facing investor skepticism over steep AI investments-now confront higher costs for essential materials like steel, aluminum, and copper needed for data center frameworks, electrical systems, and cooling mechanisms.32 Some experts predict these tariffs will create "demand destruction," leading to cutbacks in software and cloud spending, potentially slowing AI adoption and forcing companies to dramatically rework their supply chains.45 The tariffs are expected to reduce U.S. GDP by 0.8-1.0% and increase taxes by an average of $1,200 per household in 2025.6
SoftBank's role in financing the Stargate project has hit significant roadblocks. Despite announcing plans in January 2025 to invest $100 billion immediately (with ambitions to expand to $500 billion over time), SoftBank has yet to develop a financing template or begin detailed discussions with potential backers12. Preliminary talks with financial institutions including Mizuho, JPMorgan, Apollo Global Management, and Brookfield Asset Management have failed to produce concrete deals as investors reassess data center valuations amid economic volatility34.
The financing structure faces multiple challenges beyond tariffs. SoftBank planned to contribute only 10-20% of equity while raising the remainder through mezzanine bonds and senior loans3, but its financial commitments are already stretched thin with approximately $62 billion in total obligations to Stargate and OpenAI5. This has prompted S&P Global to warn of a potential credit downgrade due to deteriorating liquidity6, forcing SoftBank to seek a $16.5 billion bridge loan7 while possibly needing to sell stakes in companies like Alibaba or ARM to cover its commitments. Despite these setbacks, SoftBank has assembled a team of 20-30 people within its Vision Fund to focus on Stargate's development34.
The explosive growth of AI data centers is creating unprecedented strain on the U.S. power grid, with electricity demand for these facilities projected to increase by 160% globally by 20301. In regions like Northern Virginia, data centers already consume nearly 20% of electricity, with some utilities estimating that power needs will more than double by 2030 and increase nearly ten-fold if all planned data centers are developed23. This surge is occurring as the aging U.S. grid struggles with transmission bottlenecks, permitting delays, and the transition to intermittent renewable energy sources.
These constraints are forcing dramatic adaptations in the AI sector. Grid connection delays of 5-15 years are pushing companies to explore alternatives like on-site power generation, microgrids, and even purchasing power plants45. Some hyperscalers are relocating to secondary markets with more available power, while others like OpenAI's Stargate are investigating solar, battery storage, and nuclear solutions6. However, Trump's tariffs on steel, aluminum, and battery components are further complicating grid modernization efforts by increasing costs for transmission infrastructure and energy storage systems78, potentially slowing AI deployment as the grid races to keep pace with demand.