Three of four banks whose post-midterm views we have quoted point to a slower pace, or delays, for the US AI data center buildout, while one of four construction-industry voices quoted by Construction Dive expects projects to be put off, by our classification of nine on-record statements.
Bloomberg posted on 8 November that “CFOs are preparing for greater scrutiny of data center projects at a time when financing is becoming more expensive following the Democratic sweep of Congress.” (Bloomberg on X).
Business Pill · Financial Conditions
A short Business Engineer explainer on financial conditions. It teaches the general idea only and does not discuss the midterms or the people quoted here.
The key insight: By our classification of nine on-record statements after the US midterms, three of four banks quoted point to a slower pace or delays for the AI data center buildout, while three of four construction-industry voices quoted by Construction Dive expect it to continue. Big Tech’s 2026 capital spending guidance adds up to $720 billion to $740 billion, by our arithmetic.
UBS Group Chief Executive Officer Sergio Ermotti said “The political developments in the US may also trigger a slowdown in building up capacity” for AI, Bloomberg reported, as we covered in UBS CEO Ermotti Says Midterms May Slow AI Capacity Buildout.
Brett Ryan, an economist at Deutsche Bank Securities, told Bloomberg that if regulatory pressures slow the buildout, “it almost prevents you from blowing too big of a bubble”, and called it “a good excuse to kill some projects here that were already looking shaky”, as quoted in Deutsche Bank: Data Center Limits Could Cap an AI Bubble.
Nomura’s 4 November report said, as reported by Moneycontrol, that “Much of the data center capacity expected to come online in 2027 is already under construction”, while “a larger share of the 2028 pipeline remains in the planning stages and is therefore more vulnerable to permitting delays and regulatory uncertainty”.
Nine on-record readings of the US midterms for the AI data center build: four banks, four construction-industry voices quoted by Construction Dive and OpenAI’s CFO. The split into slowdown or delays versus marginal, continuing or no dramatic change is our own classification.
Update (9 Nov): Speaking at a UBS conference in Sydney on Monday, Ermotti said the market “until very recently — of course in the last few weeks we saw some correction — has been pricing perfection,” Reuters reported. Ermotti said they were optimistic AI would generate positive economic outcomes but personally believed “the timing on how quickly we will get there, it’s a little bit exaggerated,” and that US midterm results and the global debate over infrastructure could delay the sector delivering outcomes, according to Reuters. Ermotti also said some of UBS’s own AI implementation had been “slowed down” by the Credit Suisse integration.
Bloomberg’s post of 8 November links its CFO Briefing newsletter and says CFOs are preparing for greater scrutiny of data center projects as financing becomes more expensive after the Democratic sweep of Congress. We quote it in the opening; the newsletter itself is for subscribers, and we read only its opening.
What the Construction Industry Said
Daniel Fisher of the Associated Equipment Distributors trade group told Construction Dive on 5 November: “I’d expect many planned data center projects to be put off or delayed”. Fisher also said those changes minimally impact total demand for data center construction, according to the report.
Michael Guckes, chief economist at ConstructConnect, said: “A change in Congressional control would not, by itself, imply a halt in data center construction”.
Kristen Swearingen of Associated Builders and Contractors said it “heightens the prospect for moratorium discussions in states like Texas and Michigan, but it doesn’t change what is coming either way”.
Daren Shumate, founder of Shumate Engineering, said demand is so strong “that the buildout will continue without missing a beat”, Construction Dive reported.
What the AI Company Said
OpenAI Chief Financial Officer Sarah Friar said in a CNBC interview, as reported by Business Insider, “I don’t think there was something that dramatically changed for us”, as quoted in our update to OpenAI CFO Says It Will Keep Funding Data Centers After Vote.
By our arithmetic, that is $720 billion to $740 billion for 2026; the companies define capital spending differently, so the sum is a rough guide. Goldman Sachs estimates cited by Bloomberg put about 45% of planned US data center capacity in states where newly elected Democrats campaigned on limits, with Texas alone at 25%.
The Scorecard
By our classification of the nine statements quoted here: three banks point to a slowdown or delays and one, in the excerpt attributed to Bank of America, to a marginal effect. One construction-industry voice expects projects to be put off or delayed and three expect the buildout to continue. OpenAI’s CFO described no dramatic change.
As we read the quotes, the disagreement is mostly about timing: Nomura and Deutsche Bank’s Ryan both point to 2028, while the 2026 guidance above is already being spent.
As we read the quotes, the bankers and the builders are mostly talking about different years: Nomura and Deutsche Bank’s Ryan point to 2028, while the construction voices quoted describe demand they expect to stay strong.
As we read the scorecard, no one quoted here describes the buildout stopping; the range runs from a slowdown or delays to no dramatic change, by our classification.
As we read Bloomberg’s post, financing cost is the channel the CFO Briefing highlights, alongside scrutiny of projects.
Nomura, as reported by Moneycontrol
“a broader tightening of restrictions across states could slow the pace of AI investment and weaken an important driver of US economic growth”
Three Implications
FOR DATA CENTER DEVELOPERS Nomura said a larger share of the 2028 pipeline remains in the planning stages and is more vulnerable to permitting delays, as reported by Moneycontrol.
FOR LENDERS AND CFOS Bloomberg posted that CFOs are preparing for greater scrutiny of data center projects as financing becomes more expensive.
FOR CONTRACTORS Construction Dive quoted three of four industry voices saying the buildout would continue, and one expecting projects to be put off or delayed.
The analysis says: “The job of any operator, investor, or builder is to know which layer they are operating inside and which layer the binding constraint is rotating toward next.”
As we read it, the post-midterm split between bankers and builders is a debate over whether permitting and financing become the binding constraint on the data center layer after 2027. The analysis does not discuss the midterms or the people quoted here.
What Is Not Established
We read only the opening of Bloomberg’s CFO Briefing newsletter, which is for subscribers, and it names no CFO in the part we read. We have not seen the Nomura or Bank of America notes themselves. None of the nine statements names a specific project that has been delayed.
This Week In The AI Supercycle
The Great Convergence of Capital, Power, and Geopolitics
This week’s issue: for two years the AI build-out was priced as a supply story, and last week as a credit story. This week it was priced as a permission story, and the answer arrived as a cost, not a ban.
Bankers quoted after the midterms mostly point to a slower AI data center build, construction-industry voices mostly expect it to continue, and OpenAI’s CFO said nothing changed dramatically, by our count. Big Tech’s 2026 guidance adds up to $720 billion to $740 billion, by our arithmetic.
A note on sourcing. The Bloomberg quote is from its post on X of 8 November 2026; we read only the opening of the subscriber-only CFO Briefing newsletter. Construction Dive quotes are from its 5 November report as syndicated by Yahoo Finance; the Nomura quotes are as reported by Moneycontrol. The UBS, Deutsche Bank, Bank of America, OpenAI and capital-spending figures are as quoted in our earlier pieces linked above.
We did not contact any of the people or companies quoted. The classification of the nine statements and the $720 billion to $740 billion sum are our own.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
