QUESTION
We are a mortgage lender in Northern Virginia. An AI Data Center was built in our area, and it is causing havoc with our business. We have branches in Texas, Ohio, and Georgia. Data centers are being built or are under construction in those areas. These are our key states for originating mortgages. Property values have gone down because of these data centers, and that has caused our loan originations to plummet, both in refinances and purchase money.
As far as I can tell, you are the only one telling it like it is in the AI compliance world. My question is indirectly about compliance because we are concerned about our investor partners. Some of them are now pushing back on appraisals and LTV ratios. Quality control is being impacted. I handle sales. Our loan officers are suffering an unprecedented downturn. Lenders that are not affected by AI Data Centers near their markets will eventually feel the same downturn that we are – there's no escaping it!
In our sales meeting, we put together three questions for you.
Which public issues are impacting AI Data Centers?
A few of us believe their expansion is limited by physics.
Is that so?
And how long will this last? Is an AI bubble forming?
COMPLIANCE SOLUTIONS
AI
POLICY PROGRAM FOR MORTGAGE BANKING™
Policies and procedures for
artificial intelligence related to mortgage banking compliance administration,
mortgage loan origination compliance, mortgage servicing compliance, and
industry best practices—including, but not limited to, applicable federal and
state banking and consumer lending laws.
AI FOR MORTGAGE LOAN ORIGINATION - SALES MANUAL
The Sales Manual provides 9
chapters covering the full AI-powered origination funnel in a 90-day
implementation roadmap, with clear team roles and fair lending, FCRA, and
advertising compliance guidance built into every chapter. Sample AI prompts, an
ROI tracking framework, and a compliance glossary.
RESPONSE
I will answer
your questions in three parts, as follows:
· Part I: Public Backlash
· Part II: Physical Limits
· Part III: AI Bubble
In my previous series, The Day of AI Reckoning, I discussed how the public is rejecting the infrastructure and the overall data center opposition. I discussed several compliance risks, some of the compliance ramifications, and why there might be an AI implosion, not a correction.
I get the AI sales pitch: America is building the largest energy-consuming industry of the decade in about five years, and three problems are colliding at once. You have asked three fundamental questions, which I will endeavor to answer. Neighbors are revolting over bills, water, noise, and air. Physics and the grid cap how fast power can arrive and heat can leave. And the bill – well over half a trillion dollars a year – is increasingly being paid with borrowed money.
The three are linked: the physical constraints drive the local backlash, and both shape whether the financing ends in a productive build-out or a bust.
Public issues: who pays, who breathes, who drinks!
The core public complaint is that AI data centers concentrate their costs locally on power bills, air, water, and quiet, while their benefits flow elsewhere. By 2026, that complaint has become one of the few genuinely bipartisan political forces in the United States. Let's break it down categorically, with the caveat that my view reflects current and potential future conditions.
Electricity bills
Data centers are not the only reason power is getting more expensive, but they are now a leading one. I used PJM's independent market monitor, which concluded that expected data center demand drove about $23 billion in customer price increases that will persist through at least 2028. Fortune published an article showing how data centers have hiked electricity prices.
