The promise of artificial intelligence agents may be transforming the digital world, but on the ground in rural Georgia, it is tearing through neighborhoods. Georgia Power is using eminent domain to seize more than 330 properties across Coweta and Fayette counties to build a 35-mile transmission line for its Project Wansley expansion. Between 20 and 30 homes will be demolished to make way for the power corridor, according to reports. Roughly 80 percent of the new generating capacity the utility is adding will serve data centers, making the human cost of AI infrastructure impossible to ignore.
The $16 billion grid expansion is one of the largest in Georgia's history, driven almost entirely by the electricity demands of artificial intelligence. Two days before the demolition plans drew national attention, Mark Zuckerberg predicted on Meta's earnings call that within five years, billions of people would each have a personal AI agent handling their finances, health, and relationships. That vision, however, is colliding with the reality of building the physical infrastructure required to make it happen.
Eminent domain and the price of progress
For residents in the transmission line's path, the promise of a personal AI agent is distant and abstract. What is concrete is a 500-kilovolt power line cutting through their properties. Homeowners told Fortune that Georgia Power's compensation offers ran roughly $100,000 below their properties' market value. The utility has defended its approach, stating that condemnation represents less than one percent of its total land acquisitions. But for the families facing demolition orders, the compensation gap is a direct hit to their financial stability and their sense of home.
The use of eminent domain for private infrastructure projects has a long and contested history in the United States. Legal experts note that utilities often have broad powers to seize land for energy projects deemed to be in the public interest. But when the primary beneficiaries are tech giants building data centers, the definition of public interest becomes murky. Residents argue that the burden of the AI boom is falling on those least likely to benefit from it, creating a stark divide between the corporate winners and the local losers.
Meta's massive bet on AI agents
Meta's own balance sheet reveals the scale of the bet. The company posted revenue of nearly $61 billion in the second quarter of 2026, up 28 percent year over year, but its free cash flow collapsed 91 percent to $784 million as capital expenditure surged. Meta has guided investors toward total spending of $130 billion to $145 billion this year, most of it on AI infrastructure. This spending spree is not just a corporate gamble; it is a direct driver of energy demand that is reshaping power grids across the country.
Zuckerberg's pitch is that the pain is temporary and the payoff transformative. He envisions AI agents that book appointments, manage household budgets, and negotiate on behalf of their users, a layer of intelligence accessible to everyone with a phone. Meta already runs AI agents for more than a million business users on WhatsApp and Messenger. But the gap between current capability and the full spectrum of daily life described by Zuckerberg remains wide. No personal AI agent currently on the market can reliably manage a household budget, let alone serve as a trusted advisor for health and relationships.
The spread of data center protests
The costs are not confined to one utility's service area. Data center protests have spread to 42 US states, with more than 140 rallies in a single day of action coordinated by a coalition that cuts across political lines. Community pressure has blocked or delayed tens of billions of dollars in planned construction. From Virginia to California, residents are questioning the environmental and economic trade-offs of massive data centers that create relatively few permanent jobs while consuming enormous amounts of electricity and water.
The protests reflect a growing awareness of the hidden costs of the digital economy. Data centers require not only power lines and substations but also water for cooling, land for buildings, and grid upgrades that are often passed on to ratepayers. In many cases, utilities are seeking to recover the costs of new transmission infrastructure through higher electricity rates, affecting all customers, not just the tech companies that benefit from the data center boom.
Power bills climbing across the industrial heartland
Power bills are climbing sharply in factory towns that have nothing to do with AI. In the PJM grid region, which runs from New Jersey to Illinois, capacity charges jumped more than tenfold in a single auction cycle, driven largely by data center demand. Industrial electricity prices rose 31 percent in Pennsylvania and 26 percent in Ohio in one year, against a seven percent national average. These increases are straining manufacturers, small businesses, and households who are already facing inflationary pressures.
The PJM capacity market is designed to ensure that enough generation is available to meet peak demand, but the rapid influx of data centers has tightened the market dramatically. Utilities must procure capacity at auction, and the prices reflect the scarcity of supply relative to the surging demand from AI facilities. For residents in PJM states, the result is higher bills with no corresponding benefit from the AI boom. This has reignited debates about grid reliability and the need for new transmission infrastructure, which often faces years of permitting delays and community opposition.
Meta's Reality Labs and the investor skepticism
But Meta's own track record complicates the forecast. The company's Reality Labs division has lost roughly $88 billion since 2021 on a metaverse bet that has yet to produce a mass-market product. Its stock fell nearly ten percent after the Q2 results, a sign that investors are more moved by collapsing cash flow than by the promise of an agent in every pocket. The enthusiasm for AI infrastructure spending has waned as analysts question whether the returns will ever materialize.
The harder question is whether the human costs of building AI infrastructure can be justified by a product that does not yet exist at scale. The gap between the vision and the present capability is wide. Zuckerberg and other tech leaders frame the massive capital expenditures as necessary investments in the future, but they have yet to demonstrate a clear path to profitability for the AI agents they are promising.
The decision to demolish homes for power lines has also raised legal and ethical questions. Lawyers representing some of the homeowners argue that the compensation process is flawed, citing appraisals that failed to account for the full market value of the properties. The utility maintains that it has followed all legal procedures and offered fair compensation, but the disparity between offers and market assessments suggests a systemic problem.
For the families in Coweta County facing demolition orders, the promise of a personal AI agent in five years is abstract at best. What is concrete is a 500-kilovolt power line cutting through their properties so that data centers can train the models that might, eventually, produce something useful for ordinary people. Whether that trade-off is worth making is a question the industry has not yet been forced to answer.
The broader implications for the US energy system are profound. As more data centers come online, utilities across the country are scrambling to expand capacity, often with little transparency about who bears the cost. The American public may be willing to support technological innovation, but it is becoming increasingly clear that they are not willing to see their homes demolished or their electricity bills skyrocket for the sake of a speculative vision.