Reuters columnist says Iran conflict could raise AI data-center financing costs
A Reuters commentary says an escalation involving Iran could lift oil, rates and borrowing costs for AI data-center projects.
By Sofia Marchetti · Columnist
· 3 min read
A potential Iran conflict could raise the cost of building AI data centers, according to a Nov. 3 Reuters Open Interest commentary by Joachim Klement. For investors following the iran conflict ai data centers link, the important point is that this is a conditional market argument, not a report that a U.S. military operation is certain or that AI investment will decline.
Klement, an investment strategist at Panmure Liberum, wrote that the Trump administration has treated artificial intelligence as a central economic priority. He argued that a renewed U.S. operation against Iran after the midterm elections could work against that goal if it disrupts energy markets and keeps borrowing costs high.
How could an Iran conflict affect AI data centers?
The columnist’s proposed chain starts with oil. He wrote that concern about renewed U.S.-Iran fighting, a possible effective closure of the Strait of Hormuz, or further attacks on Saudi energy infrastructure had pushed crude above $115 a barrel late in the previous week.
Brent then dropped more than 8% on Monday as hopes for a diplomatic resolution rose and declined further on Tuesday, Reuters reported. Klement nevertheless said the risk to oil prices remained tilted higher because of the distance between Washington’s and Tehran’s positions.
If energy prices stay elevated, the column argues, inflation could remain high. Central banks might then delay rate cuts or tighten monetary policy more aggressively. Higher policy rates tend to lift Treasury yields, which act as a benchmark for corporate borrowing, making debt more expensive.
That matters for AI infrastructure because data centers require substantial upfront spending on chips, electricity capacity, land and construction. A project financed partly with debt needs to generate enough future returns to cover those higher costs.
Why financing is central to the argument
Klement said investor concern had already grown around the scale of AI capital expenditure, citing negative market reactions to recent large spending plans by Alphabet and Amazon. He wrote that Alphabet, Amazon, Apple, Meta and Microsoft had, as a group, exhausted their cash piles and turned free-cash-flow negative, though Microsoft continued to produce free cash flow.
These large cloud companies, often called hyperscalers, have increasingly relied on debt to fund capital expenditures, according to the commentary. Klement said their borrowing spreads over five-year U.S. Treasuries had widened over the past year.
He said smaller “neocloud” providers, which rent out graphics-processing-unit computing capacity for AI work, could be more exposed because they lack the hyperscalers’ established cash flows. The column cited CoreWeave as an example, saying its borrowing costs were above 15%, making new projects difficult to justify economically.
The downside case depends on several conditions: a wider Middle East conflict, sustained high oil prices and a forceful central-bank response. Klement also outlined alternatives that could limit the effect, including a diplomatic agreement, uninterrupted energy supplies or policymakers treating an inflation spike as temporary.
His conclusion is a financing-risk map for AI investors rather than a prediction. Higher rates and wider credit spreads could pressure project economics and investor confidence, but the commentary does not establish that those conditions will occur.
This story draws on original reporting from Klement on Investing.
