Parabolic Data Center Jobs & the Economy
Record ETF inflows, data center construction wages turning up in county pay statistics, and a widening gap between what a rideshare costs and what the driver keeps.
Category: Industry. Written by Jaime Garcia, Founder, SnowRock. Published . 12 min read.
In short
- ETF inflows are running roughly 600 billion dollars ahead of last year, with thematic products taking a growing share of the total.
- The clearest measured labor market effect of the AI build out so far is higher pay for skilled trades, not displaced office work.
- Ridesharing shows what happens after an intermediary wins the demand: fees widen quietly while both sides of the market celebrate record numbers.
Exchange traded funds have quietly become the main way most people own the market. Cheap, easy to buy, easy to sell, easy to market. Whatever the theme of the moment happens to be, somebody has already wrapped a ticker around it. Right now the theme of the moment is being poured out of a concrete truck in a township you have never heard of.
Money is pacing for its strongest year into funds, ever.
Per data from Citadel, ETF net inflows are running for their best year on record, roughly 600 billion dollars ahead of last year's pace. July alone set an all time monthly high.
Low fees, low barriers, easy distribution, good marketing, more retail participation. All of that explains the total. None of it explains the interesting part, which is what the money is buying.
In 2020 the top themes were clean energy, emerging markets tech, and healthcare. In 2026 the leaderboard reads AI, nuclear, space, defense, infrastructure. That is a complete rotation in six years, and every item on the new list requires steel, land, permits and a substation. Atoms took the leaderboard back from bits.
Passive money moving on purpose is still an opinion. It just arrives with better fees.
Whether the trade works out is not the question here. The relevant fact for an operator is that capital of this size does not turn around quickly, and it has already decided the physical layer of AI is where the return sits. Whatever the next three years look like, they are funded.
Data center construction jobs are a blue collar bonanza.
People love data centers in their ETFs and increasingly do not love them anywhere within sight of the house. Set that debate aside. Like them or not, in a growing number of places the data center is the biggest economic event in town.
Wells Fargo tried to tabulate the economic benefits running alongside these projects, splitting counties with operating facilities from counties currently building them.
Causation is not obvious. A lot of the operating capacity sits in Loudoun County, Virginia, one of the wealthiest counties in the country. A lot of the new builds sit in Texas, which ran a historic residential boom before 2024, so the housing retreat is measured off a very high base.
The employment effect is harder to argue with. Beyond the raw headcount, these sites pay better than the employers they are competing against for the same workers.
A heavy industrial construction contractor put it more plainly in a recent Dallas Fed report.
We have been paying what I believe to be a very competitive wage for skilled concrete workers, 28 to 32 dollars per hour. The data centers are offering 45 dollars per hour and a 150 dollar per diem for concrete workers.
That is roughly a 50 percent premium for concrete work. For the person taking it, that is not a data point. That is a different life.
Sit with that, because it inverts the story everyone has told since 2023. The technology that was supposed to compress white collar work first is, in measurable dollars, currently bidding up the price of skilled physical labor. Saying no to a data center now means saying no to the largest wage increase blue collar workers in that county are likely to see this decade.
For a small or medium sized business the consequence is boring and immediate. If you compete for tradespeople, your labor cost went up and it is not coming back down while the build runs. If you sell to contractors, your customers just got busier and better funded. If you do neither, your electricity rate is still in the conversation, because these facilities buy power in quantities that reshape a regional grid.
It is not your imagination, ridesharing really is more expensive.
If an Uber feels pricier than it used to, that is because it is. Gridwise Analytics has both the average and median Uber fare up about 20 percent since the start of 2024, and still climbing.
Good for Uber. Good for Lyft. Also, to be fair, good for the drivers.
The lazy read is that platforms are squeezing everyone. The data does not support it. The useful read is about what happens to a market once the intermediary owns the demand. Pricing power never arrives with an announcement. It shows up as a fee line that widens a few points a year in a market where nobody has anywhere else to go.
Every intermediary looks like a partner until it stops needing you more than you need it.
There is a version of this coming for AI software. Assistants and agent platforms are priced to acquire today, the way rides were priced to acquire in 2015. The companies that are fine in 2030 will be the ones holding the parts an intermediary cannot repossess: their data, their own definition of what good output looks like, and the customer relationship.
What an owner should actually do with this.
Charts are entertainment until they change a decision. Four decisions these ones should touch.
- Price your labor exposure now If skilled trades sit anywhere in your cost base, model a second year of above trend wage growth rather than a reversion. Reversion is the optimistic case and it is not the case the capital flows support.
- Treat energy as a line item with volatility Regional power demand is being reshaped by facilities that buy in gigawatts. Lock what you can lock, and know your rate structure well enough to spot a change when it arrives.
- Assume your AI vendor's price is introductory Build on tools you can leave. Keep prompts, evaluation sets, and the data that makes the system work in systems you control, so a repricing is an annoyance instead of a migration project.
- Buy the boring capability, not the theme The thematic trade is for portfolios. Inside a business, the return still comes from taking one manual job, measuring it, and replacing it with something that works on your stack. That is unglamorous and it compounds.
None of this requires a view on whether the build out is a bubble. It requires only the observation that a very large amount of money has already been committed, that commitments of this size move wages and prices before they move headlines, and that the businesses which prepare for second order effects tend to be the ones still standing when the first order story changes.
Nobody announces a cost curve when it bends. It arrives as a quote from an electrician that is eleven percent higher than the one you got last spring, and as a utility letter you almost throw away.