Goldman Sachs CEO Warned of Data Center Volatility

David Solomon highlighted election-related risks facing AI infrastructure projects in the United States.

Updated on Oct. 13, 2026 in Data Centers

Isometric editorial illustration of high-voltage power towers and electrical substations, representing the infrastructure risks for large-scale data center projects. — Goldman Sachs CEO David Solomon warned that political volatility and rising utility demands could threaten the stability of U.S. AI infrastructure projects. AI Illustration. Upload story photo >

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Is now a good time to aggressively expand AI infrastructure despite potential economic and political risks?

Goldman Sachs CEO David Solomon has identified potential political volatility for data center projects tied to upcoming midterm elections. The expansion of AI infrastructure is facing increased community opposition regarding electricity demand and rising utility costs.

Why it matters

The massive scale of AI infrastructure development requires consistent financing and stability, both of which are threatened by localized political resistance and election-cycle uncertainty. This tension is complicating project viability for developers and financial partners alike.

The planned AI infrastructure expansion is estimated to cost over $10 trillion and will consume 3.6 percent of annual gross domestic product through 2032. Additionally, Nvidia and six financial institutions formed a partnership in August to raise $500 billion for these projects.

The players

David Solomon

He is the current CEO of Goldman Sachs.

Nvidia

This corporation produces compute platforms and is actively partnering with financial institutions to fund AI infrastructure.

Stijn Van Nieuwerburgh

He is an academic and researcher who presented findings on infrastructure development.

Goldman Sachs

This is a global financial institution providing services and partnerships to support capital-intensive AI infrastructure projects.

The details

The current AI buildout requires a significantly larger share of U.S. output than previous national utility or transportation infrastructure rollouts. Goldman Sachs continues to work with partners like Nvidia to secure the capital required to manage these immense financial and operational needs.

In August 2026, Nvidia announced a partnership with six financial institutions to raise $500 billion.
In September 2026, Stijn Van Nieuwerburgh presented a research paper at a conference.
On October 13, 2026, David Solomon discussed AI-related volatility during an earnings call.
Through 2032, the AI infrastructure expansion is projected to consume 3.6 percent of GDP annually.

The Tech Race

This massive investment cycle marks a fundamental shift from previous infrastructure rollouts, as AI demand begins to outpace traditional utility capacities. Companies must now navigate a complex landscape of private financing and public pushback that threatens to disrupt the pace of technological development.

The growing demand for electricity from massive AI projects may eventually influence local utility pricing and regional energy availability. Residents in areas targeted for data center expansion may see increased debates regarding local land use and infrastructure funding priorities.

The takeaway

Large-scale AI deployment is increasingly tied to the political and regulatory health of local communities. Investors and project developers must account for these community-driven hurdles to ensure the long-term viability of massive infrastructure investments.