More Perfect Union delivers a jarring reality check to the digital gold rush narrative, arguing that the data center boom is less a local economic miracle and more a costly extraction of public resources. By embedding themselves in the communities most affected—Hillsboro, Oregon, and Abilene, Texas—the author exposes a stark disconnect between the promised high-paying jobs and the actual erosion of schools, housing, and local industry. This is essential listening for anyone who believes the AI revolution is a straightforward win for the American worker.
The Illusion of the Boom
The piece opens by dismantling the prevailing optimism surrounding data center construction. More Perfect Union writes, "In 20 years, we may look back and go like, I'm not sure we should have done that." This framing immediately shifts the conversation from short-term excitement to long-term consequence, a perspective often missing from government press releases. The author argues that while states are rolling out the red carpet with massive tax incentives, the local return on investment is surprisingly meager.
The coverage highlights how these facilities are consuming land that once supported robust agricultural and small business ecosystems. In Hillsboro, Oregon, the author notes, "There was a tulip farm here. There was a big grass seed operation, an ecosystem of farming that um that this land supports." Now, that land is dominated by server farms. This is a powerful visual argument: the physical replacement of food production with digital infrastructure. Critics might note that data centers do bring some capital investment, but the author effectively counters this by showing how the land price inflation driven by tech giants makes it impossible for other businesses to survive. The trade-off isn't just economic; it's existential for the character of these towns.
We pay the infrastructure costs. We don't see tax revenue and we see the profits being funneled out to people we'll never meet.
The Tax Break Trap
Perhaps the most damaging evidence presented concerns the financial mechanics of these deals. More Perfect Union details how Oregon's laws grant data centers approximately $330 million a year in tax breaks, effectively stripping local governments of the funds needed for schools and public safety. The author points out a report finding that "Oregon schools lost $275 million to property tax abatements that could have gone to hire 3600 teachers." This statistic transforms abstract policy into a human crisis, linking tax loopholes directly to a student with autism losing his full-time aid and classrooms being split due to teacher shortages.
The argument here is that the promised "high-paying jobs" are often temporary construction roles that vanish once the building is complete. The author interviews electrician Ashley Cummings, who admits, "I think after we get them up, they don't need us anymore." This nuance is crucial; it challenges the narrative of permanent employment. While the construction boom creates a temporary spike in wages, it does not build a sustainable local economy. Instead, it creates a "cyclical" dependency where communities lose tax revenue for decades in exchange for a few years of construction labor.
The Housing Crisis and Job Transfer
The investigation travels to Abilene, Texas, to examine the "Stargate" AI project, a $500 billion venture involving OpenAI, Oracle, and Nvidia. Here, the author uncovers a different kind of distortion: the housing market. The influx of high-paid construction workers has driven rents up by 20% and occupancy to nearly 100%, pricing out essential local workers. The author speaks to Honesty, a home health aid who cannot find housing despite having a voucher, asking, "So if you can't find a place to live, can you stay working here?" Her answer is a simple, devastating "No."
More Perfect Union leans on economist Michael Hicks to argue that these projects are not creating new jobs but merely shifting existing workers from other sectors. "Transitioning people from a non-data center related information services into data centers," Hicks notes, "Many of them would have been on a residential or apartment building construction site." This suggests the data center boom is a zero-sum game for the labor market, where one sector's gain is another's loss, all while the community foots the bill for infrastructure upgrades. A counterargument worth considering is that the sheer scale of investment might eventually trickle down, but the author's evidence suggests the current incentives are too generous to justify the risk.
The Human Cost of Secrecy
The piece concludes with a chilling look at the workers inside the facilities. Shannon Wait, a former contractor at a Google data center, describes an environment where discussing pay is forbidden and security escorts workers out for asking questions. "She filed unfair labor practice charges," the author recounts, highlighting the precarious nature of these "dream jobs." The narrative arc moves from the macro-economic impact to the micro-level experience of the worker, revealing a dystopian reality where high wages come with a loss of agency and transparency. The author observes that the situation feels "on par, 100%... 1984, Fahrenheit 451, Brave New World."
They're not creating jobs. They're not adding income. They're not providing tax revenue to Texans to build schools to maintain their road network or to improve their electric infrastructure which is a problem in the state.
Bottom Line
More Perfect Union's strongest asset is its refusal to accept corporate PR at face value, grounding the abstract concept of "AI growth" in the tangible losses of local schools and displaced farmers. The piece's biggest vulnerability is its heavy reliance on the immediate negative impacts, which may understate the potential long-term technological benefits, though the current tax structures make those benefits unlikely to materialize for locals. Readers should watch for how local governments respond to these findings, as the pressure to suspend tax incentives is growing but faces fierce political resistance.