Category: Environment

  • AI Infrastructure Race and Societal Risks (Links) – Jul. 20, 2026

  • Municipal Budget Cuts, Property Taxes, and Data Centers

    The Dallas Morning News recently posted an article about Dallas reducing park-related expenses from its upcoming city budget:

    The Dallas Park and Recreation Department has made limited progress toward its long-term goal of making money to rely less on taxpayer funding, a recent city audit found. City staff face pressure to cut $14 million from the parks budget, which could reduce recreation services citywide, slash dozens of jobs and shut down four community centers.

    I’m sympathetic to municipalities attempting to use tax dollars wisely, so I like the idea of finding ways to be more efficient. But I hate cutting parks and recreation budgets simply because the services these departments provide seem less valuable. Parks are enormously important to the health and wellbeing of citizens, and long-term studies show no shortage of evidence pointing to health and life expectancy improvements as the result of regular physical activities.

    But Dallas is not alone in these struggles. Closer to home, the city of Waco is experiencing similar budget constraints, but instead of targeting parks, this round of budget cuts includes further reducing library operating hours. (Hours were cut last year as well.) It seems hardly outlandish to think that further cutting these operating hours isn’t the best thing for the community.

    If only there were opportunities for cities to quickly and massively grow their tax footprint without needing to massively expand their physical infrastructure…

    Wait. I think I’ve read about an industry willing to spend, and spend quickly. I’ll acknowledge from the beginning that data centers can use a lot of power, need some degree of water (although as I wrote last year, the actual water usage is paltry compared with total water consumption, particularly in a state as big as Texas), and if there is on-site electricity generation, there can be some noise. With those as caveats, let’s project some numbers.

    Year One — Construction Phase Revenue

    Let’s consider small and large data centers ($1B vs. $10B) and their potential effects on local economies during the first year:

    ProjectValue on tax roll (Jan. 1, ~20% built)¹City property tax @ 50% incentive²Year-one taxable purchases³Local sales tax (1.5%)⁴Total Year 1 city revenue
    $1B data center$200M$755,000$200M$3.0M~$3.8M
    $10B data center$2.0B$7.55M$1.5B$22.5M~$30.1M

    ¹ Assumes ~20% of total project value (land, site work, partial construction) is assessed in the first January appraisal. Larger projects build over 3–5 years, so the $10B figure phases in similarly. ² Waco’s FY2025–26 rate of $0.755 per $100, reduced 50% by the assumed incentive (Chapter 312 abatement or Chapter 380 rebate). ³ Materials and equipment purchased/delivered in year one. Texas Tax Code §151.359 exempts qualified data center equipment from the 6.25% state sales tax only — the exemption explicitly does not apply to municipal sales tax. ⁴ Assumes purchases are sourced/delivered such that Waco’s 1.5% rate applies; actual capture depends on purchasing structure, and incentive agreements sometimes rebate a portion.

    For Waco specifically, a $3B data center project has the possibility of plugging revenue shortages for 2027. A larger project could possibly provide a tax surplus!

    Ongoing Annual Property Tax Revenue

    There are different tax structures that data center operators negotiate with cities, but let’s assume a 50% incentive on local property taxes over the first five years. Further, let’s assume that taxable value grows at around 3%, and the 50% incentive expires after year 5:

    Project50% incentive property tax/yr (years 1–5)⁵With ~3%/yr growth (by year 5)⁶Full-rate property tax/yr (year 6+)⁷With ~3%/yr growth (year 6+)⁸
    $1B data center$3.8M$4.2M$7.6M$8.8M and rising
    $10B data center$37.8M$42.5M$75.5M$87.5M and rising

    ⁵ Full value × 0.755% × 50%: $1B → $3.775M; $10B → $37.75M. ⁶ Year-5 figure after four years of 3% compound growth in taxable value. ⁷ Full value × 0.755% with no incentive, before growth: $1B → $7.55M; $10B → $75.5M. ⁸ Year-6 figure on value grown 3%/yr for five years ($1B → $1.16B; $10B → $11.6B), continuing to grow ~3% annually thereafter if refresh investment continues.

    Will data center construction solve municipal revenue shortages? No, I don’t think the world is nearly that simple, but we’d be remiss not to consider those benefits, particularly if the feared AI job apocalypse is even partially correct. Having data centers means that jurisdictions with property tax will have more tax revenue to soften the blow from job losses or other structural changes.

    If I were a developer wanting to build a data center, I would lean into this fact. Municipalities also have an opportunity here: they can leverage the anti-AI sentiment that seems to be rising to negotiate more favorable terms for any tax abatement arrangements. Perhaps it’s not 50% abatement over the first 5 years…perhaps it’s 0%, but I won’t dive into specifics.

    In the end, these developments need to be advantageous to the companies building them as well as the communities that already live there. I think there are opportunities to do both.


    Waco’s projected FY2027 budget gap is $10.7 million. The city’s proposed libraries and museum closures will save $191,000. (In Waco, note that of the $0.755 rate, $0.5845 funds day-to-day operations.) Also, this assumes that the facility sits outside a Tax Increment Financing zone — inside one, the general fund would collect taxes only on the land’s pre-development base value for the life of the zone, so it wouldn’t solve any issues.

    Sources: City of Waco FY2025–26 adopted tax rate; The Waco Bridge (July 17, 2026); Texas Tax Code §151.359; Waco local sales tax rate per Texas Comptroller. Growth, phase-in, and purchase-capture assumptions are the author’s estimates.

    Note: Claude Fable 5 helped generate these tables from publicly available tax data.

  • AI Chip Access and Commercialization Surge (Links) – Jul. 17, 2026

  • AI Cloud Expansion Meets Public and Worker Backlash (Links) – May 22, 2026

    • Anthropic: Anthropic acquires Stainless (May 18, 2026)
      Anthropic is acquiring Stainless, which builds SDKs, CLIs, and MCP server tooling to help agents connect to APIs, data, and tools. This brings Stainless’ tooling, multi-language SDKs, and team into Anthropic.
    • Qwen: Qwen3.7 Preview (May 18, 2026)
      Qwen3.7 Preview arrives on Arena, introducing Qwen3.7-Max-Preview, Qwen3.7-Plus-Preview, and upcoming releases. Alibaba ranks #6 in text and #5 in vision.
    • WSJ: Move Over CoreWeave, Here Comes Nebius (May 18, 2026)
      Nebius reshaped itself after divesting Russian assets, using cash and staff to build an AI cloud, land big Microsoft and Meta deals, and attract Nvidia investment. 
    • NY Times Opinion: Tech Workers Have Fears About A.I., Too. They Can Do Something About It. (May 17, 2026)
      A.I. builders are alarmed by military use, job loss, and privacy harms, and are unionizing to push for control. Their expertise, despite legal hurdles, can reshape A.I.
    • Cloudflare: Project Glasswing: what Mythos showed us (May 17, 2026)
      Cloudflare found Mythos chains vulnerabilities into exploits, generates working proofs, and reduces noisy, hedged findings. Inconsistent refusals and false positives require narrow prompts, adversarial review, and a harness to scale safe triage.
    • WSJ: Your New AI Professor Is the Rapper From the Black Eyed Peas (May 18, 2026)
      Rapper will.i.am taught a 16-week ASU class where students built AI agents, drawing on his history as a tech investor and creator. He aims to blend culture and technology, urging people to shape AI personalization.
    • WSJ: The American Rebellion Against AI Is Gaining Steam (May 18, 2026)
      Opposition to AI and data centers has surged, fueled by energy costs, job fears, and concerns about education and mental health. Protests, threats, local bans, and political fights have stopped projects.
    • Gallup.com: Americans Oppose AI Data Centers in Their Area (May 13, 2026)
      A March Gallup survey found 71% of Americans oppose building AI data centers nearby, 48% strongly. Opposition stems from worries about water, energy, pollution, quality of life, and higher bills.
    • Andy Masley: A crash course on US air pollution (May 18, 2026)
      A review of US air pollution finds data center backup generators can cause large local health costs, though nationally data centers likely won’t dominate air pollution harms.
  • Frank Gehry, RIP

    Guggenheim Museum, Bilbao (Source: Wikipedia)

    From the NYTimes: Frank Gehry, Titan of Architecture, Is Dead at 96

    Pioneering American architect, Frank Gehry died earlier this month. He is best known for landmark, sculptural buildings such as the Guggenheim Museum Bilbao (1997) — which sparked the “Bilbao effect” of using iconic architecture to revive cities. The Walt Disney Concert Hall (2003) in Los Angeles uses similar forms and materials for a striking appearance.

    Walt Disney Concert Hall (source: Wikipedia)

    He broke with modernist orthodoxy by using everyday materials and expressive, often fragmented forms; he was an early adopter of computer design to achieve complex, sculptural structures. I see his influence in Chipotle restaurants. We have two locally: one prominently features corregated metal throughout the restaurant; the other has a lovely lighted wall made of plywood with a series of holes. Both use simple, inexpensive materials to create a pleasant aesthetic.

    He also partnered with Fossil to design perhaps my favorite watch. It used Gehry’s own handwriting along with a clever display to present the time. There’s a simple artistic elegance in how it projects time: half past 8, 27 til 2, and so on within a simple rectangular frame.

    Tyler Cowen and Patrick Collison issued a call for a new design aesthetic while noting how Bauhaus thinking affected design in the 20th century. Gehry’s unique contribution to late 20th and early 21st century architecture is notable for how it leaned into organic forms, creating structures that are as much art as function. Architecture, it seems, can both serve a physical need and stir the soul.

    Gehry (as well Cowen’s and Collison’s Call for a New Aesthetic) reminds us that people and society are embodied souls. We need physical spaces. While the internet, mobile technology, and more recently AI tech are amazing and transformative, Gehry’s architecture invites us to see beauty in the places we live and in the structures we build. And the watches we put on our wrists.1

    1. Yes, I have an Apple Watch, and it’s an amazing tool but not in a particularly beautiful form. But that’s a much longer post I’ll likely never write! ↩︎
  • Various (AI) Links (Nov. 6)

  • More on AI & Water

    As I noted earlier this year, water needs for European AI data centers was negligible at best considering population and overall water usage.

    Andy Masley comes to the same conclusion in his recent post, The AI water issue is fake. (Also, three cheers for accurate and descriptive article titles):

    All U.S. data centers (which mostly support the internet, not AI) used 200–250 million gallons of freshwater daily in 2023. The U.S. consumes approximately 132 billion gallons of freshwater daily. The U.S. circulates a lot more water day to day, but to be extra conservative I’ll stick to this measure of its consumptive use, see here for a breakdown of how the U.S. uses water. So data centers in the U.S. consumed approximately 0.2% of the nation’s freshwater in 2023.

    However, the water that was actually used onsite in data centers was only 50 million gallons per day, the rest was used to generate electricity offsite. Most electricity is generated by heating water to spin turbines, so when data centers use electricity, they also use water. Only 0.04% of America’s freshwater in 2023 was consumed inside data centers themselves. This is 3% of the water consumed by the American golf industry.

    And later:

    This means that every single day, the average American uses enough water for 800,000 chatbot prompts. 

    I suppose if we truly want to save water, we should take shorter showers.

    HT: Simon Willison: The AI water issue is fake