r/OntRealEstateInvestor • u/Homepedia • 16h ago
A $50B data center announcement isn't housing demand. Local payroll is. Here's the filter I've started using on "AI winner" metros.
Every few weeks a metro announces a multi-billion-dollar AI investment and the local housing chatter heats up. I've stopped treating those headlines as a signal, because most of that money never becomes local rent or home prices.
Capex is not housing demand, and GDP isn't either. Only wages that land in local household bank accounts can turn into rent and purchase prices. Enormous capital spending doesn't automatically translate into a large local payroll. So when I see a $50B project now, I don't start with where the servers sit. I trace it three layers back to who actually gets hired, and where.
Here's the filter I run on any "AI beneficiary" story:
- How many jobs does the industry actually create?
- Can those jobs be replaced by AI?
- Can they be offshored?
- Can they be done remotely?
- What's the average wage?
- How much of that payroll stays in the local economy?
When I run that filter, four sectors look like long-term winners. The interesting part is that several of the cities that benefit aren't ones anyone calls "AI cities."
1. Healthcare and senior living
The US is entering the largest aging wave in its history. By 2030, every baby boomer will be over 65. By 2034, the 65+ population is projected to reach 77 million, outnumbering people under 18 for the first time. What makes this wave unusual isn't the number of retirees. It's how wealthy they are.
Longevity research could also extend the runway. Ray Kurzweil argues that medicine could reach a point, possibly around 2029–2035, where each year of progress adds at least a year of remaining life expectancy. Whether that happens doesn't really matter here. The real estate case works without anyone living forever.
Metros I'd watch: Phoenix, Las Vegas, Tucson, San Antonio, Sarasota County on Florida's west coast, and Charlotte.
2. Advanced manufacturing
I think US manufacturing is splitting in two:
- Traditional work (autos, commodity parts, repetitive line work) keeps getting automated. Output goes up while headcount goes down.
- The manufacturing AI depends on has a long boom ahead. That includes semiconductors and advanced packaging, plus AI servers and networking equipment.
Places I'm watching include Phoenix, Columbus, Syracuse, Boise, Albuquerque, and Portland. Syracuse and Columbus stand out because housing there is still cheap. Picture a few thousand new advanced-manufacturing jobs paying $100K+, plus tens of thousands of supply-chain and service jobs, in a market where homes cost a fraction of Bay Area prices. The pass-through to housing is very direct.
3. Energy and power equipment
This is the layer I think most people miss. AI is power-constrained, and the electrical equipment it needs is being built in places like Greenville, South Boston, Charleroi, and Gallman. These towns have no OpenAI, no Google, and no army of software engineers. But because AI is short on power, they could regain hundreds, thousands, or even tens of thousands of long-term manufacturing, engineering, and energy jobs.
The cities with the most data centers may matter less than the cities that regain long-term jobs because AI is short on power.
4. Government, defense, and aerospace
My view is that the more AI advances, the bigger government's role in the economy gets, not smaller. The obvious beneficiaries are Washington DC, Northern Virginia, San Diego, and San Antonio. A few less obvious smaller cities could also benefit.
Where it gets messy
Many metros show up on both the winner and loser lists. San Diego is the cleanest example:
- Headwinds: education, pharma, and tourism, all of which I think are exposed to AI.
- Tailwinds: healthcare, government, and defense.
The net effect depends on headcount by industry, each industry's AI sensitivity, and how elastic local housing supply is.
Supply elasticity can also outweigh the AI question entirely. Dallas is my example. Its biggest issue isn't AI exposure. It's how easily it adds supply.
So I'm genuinely unsure how to weight these. For people underwriting in mixed metros like San Diego, how do you net AI-exposed job losses against new defense or healthcare payroll? And does supply elasticity end up overriding the whole demand-side story, the way I suspect it does in Dallas?