“AI and the environment” is ten arguments wearing one coat.
Some of them are global. Most of them are not. Every one of them has two addresses: the place where the impact lands, and the room where the decision gets made. Which question you’re actually asking determines what the evidence says, and which of those rooms can answer you.
Built on federal energy reporting, peer-reviewed water, health, and lifecycle research, open hydrological data, state statute, live dockets, and court records. Each guide names where the evidence is strong, where it is contested, and where the honest answer is a documented blank.
Ten questions, two axes.
Arguments about AI and the environment go wrong in two ways: a claim true at one scale gets asserted at another, or a question gets carried to a venue that cannot decide it.
| # | The question you’re actually asking | Felt at the scale of | Decided at | Where the evidence stands | |
|---|---|---|---|---|---|
| 1 | How much electricity does this take?The one most people start with, and the best measured. | National totalA country-wide aggregate. Real, and it says nothing about where the load lands. | Utility commissionRate cases, tariffs, resource plans — dockets that accept written comment. | Well establishedLBNL puts US data centers at 4.4% of national electricity in 2023, headed for 6.7–12% by 2028. Federal, and it says nothing about where the load lands. | Read the guide → |
| 2 | What does that electricity actually emit?Not the same question as the first one, and the answer isn't in the first number. | GlobalThe atmosphere is genuinely shared. A ton emitted anywhere counts everywhere. | Utility commissionRate cases, tariffs, resource plans — dockets that accept written comment. | UnresolvedDepends entirely on grid mix and on what the marginal plant is. The marginal-emissions question is unresolved and we say so. | Read the guide → |
| 3 | How much water, and whose?Where the famous statistic lives, and where it was retired. | WatershedA river basin or aquifer. Water does not move between them. | State agencyEnvironmental and health departments. Permits, inspections, enforcement. | Well establishedReal as a peak and local problem. The per-query figure everyone quotes was withdrawn by the researchers who produced it. | Read the guide → |
| 4 | What does it do to the air people breathe?The least discussed and among the better substantiated. | AirshedDownwind counties. Pollution travels, but not evenly and not forever. | State agencyEnvironmental and health departments. Permits, inspections, enforcement. | Well establishedSubstantiated and scenario-dependent. For backup diesel, generation dominates the burden; the turn toward onsite primary generation is changing what sits behind the fence. | Read the guide → |
| 5 | Who pays for the buildout?Being decided right now, in rooms most people don't know exist. | Utility territoryThe defined set of customers on one utility's bill. | Utility commissionRate cases, tariffs, resource plans — dockets that accept written comment. | ContestedActively contested in live rate cases and dockets. Attribution of specific retail increases to data centers is disputed by serious people. | Read the guide → |
| 6 | Who gets a say before this gets built?Where the fight actually happens, and whether you're allowed into it. | County / parcelZoning, permits, and who got asked. | Local governmentPlanning boards, councils, and county commissions. Zoning, ordinances, moratoriums. | Well establishedPacked hearings where hearings exist; by-right approvals, state preemption, and NDAs where they don't. The constraint has shifted from apathy to access. | Read the guide → |
| 7 | What did it take to make the hardware?The question this series once declined to answer. Now researched. | Supply chainGlobal in flow, concentrated in harm, and usually somewhere else. | No working venueNo process currently exists where this gets decided. The absence is the finding. | ContestedMostly copper and grid wire, not rare metals in chips. The famous e-waste projection was recalibrated roughly tenfold, and the biggest findings are the numbers nobody publishes. | Read the guide → |
| 8 | What happens when the rules are broken?What a permit means when the equipment is already running. | AirshedDownwind counties. Pollution travels, but not evenly and not forever. | CourtsWhere an unpermitted turbine, a denied rezoning, or a nuisance claim ends up. | In litigationUnpermitted generation is documented at multiple sites. A federal Clean Air Act case and a citizen appeal dismissed as moot are deciding what enforcement means now. | Read the guide → |
| 9 | What does a data center sound like next door?The complaint that fills hearing rooms first. | NeighborhoodThe homes within sight and earshot of the fence line. | Local governmentPlanning boards, councils, and county commissions. Zoning, ordinances, moratoriums. | Well establishedMeasured at up to 90 dB at fence lines against 55 dB limits. Five of the six data center class actions filed in 2026 are about noise. | Read the guide → |
| 10 | What are we not told?The question underneath all the others. | County / parcelZoning, permits, and who got asked. | No working venueNo process currently exists where this gets decided. The absence is the finding. | Well establishedFacility water figures held as trade secrets, NDAs across most Virginia data center localities, and generators found by thermal drone rather than by any filing. | Read the guide → |
The one most people start with, and the best measured.
LBNL puts US data centers at 4.4% of national electricity in 2023, headed for 6.7–12% by 2028. Federal, and it says nothing about where the load lands.
Read the guide →Not the same question as the first one, and the answer isn't in the first number.
Depends entirely on grid mix and on what the marginal plant is. The marginal-emissions question is unresolved and we say so.
Read the guide →Where the famous statistic lives, and where it was retired.
Real as a peak and local problem. The per-query figure everyone quotes was withdrawn by the researchers who produced it.
Read the guide →The least discussed and among the better substantiated.
Substantiated and scenario-dependent. For backup diesel, generation dominates the burden; the turn toward onsite primary generation is changing what sits behind the fence.
Read the guide →Being decided right now, in rooms most people don't know exist.
Actively contested in live rate cases and dockets. Attribution of specific retail increases to data centers is disputed by serious people.
Read the guide →Where the fight actually happens, and whether you're allowed into it.
Packed hearings where hearings exist; by-right approvals, state preemption, and NDAs where they don't. The constraint has shifted from apathy to access.
Read the guide →The question this series once declined to answer. Now researched.
Mostly copper and grid wire, not rare metals in chips. The famous e-waste projection was recalibrated roughly tenfold, and the biggest findings are the numbers nobody publishes.
Read the guide →What a permit means when the equipment is already running.
Unpermitted generation is documented at multiple sites. A federal Clean Air Act case and a citizen appeal dismissed as moot are deciding what enforcement means now.
Read the guide →The complaint that fills hearing rooms first.
Measured at up to 90 dB at fence lines against 55 dB limits. Five of the six data center class actions filed in 2026 are about noise.
Read the guide →The question underneath all the others.
Facility water figures held as trade secrets, NDAs across most Virginia data center localities, and generators found by thermal drone rather than by any filing.
Read the guide →A global problem hands you guilt. There is nothing at the end of it you can actually do on a Tuesday. A watershed problem hands you something else entirely: a named municipal water system, a drought plan, a withdrawal permit, and a disclosure requirement that either exists or doesn’t.
Getting the scale right is not a way of caring less. It is the only way to do anything.
Two of these move in opposite directions.
If you need proof these are separate questions rather than one issue with several faces, it's this, and it is the least-quoted finding in the literature.
“Water use by data centres can be negatively coupled with CO2-equivalent emissions, with methods of reducing water consumption increasing carbon emissions in some cases.”
Chien, Gupta, Ren, Sriraman & Tomlinson (2026), Nature Reviews Clean Technology
Closed-loop “zero water” cooling cuts water use and raises electricity demand, which raises emissions. The water question is answered in a basin; the carbon question is answered in the atmosphere. Anyone demanding both zero water and zero carbon is asking for something the engineering does not currently offer.
Where a question is felt is not where it is decided.
New to this series as of August 2026, because the questions we added made the difference impossible to ignore.
A noise problem is felt in the houses along the fence line and decided in a county code hearing. A rate increase is felt across a utility territory and decided in a commission docket. And two of the ten questions carry the badge No working venue: no process currently exists where they get decided. Nobody convenes on hardware supply chains, and no venue orders the disclosure that most of these pages end up asking for.
That badge is not a shrug. A question with no working venue is a question whose venue is still available to be built, and two of the guides below are about exactly that.
Ten guides, one question at a time.
Each guide names the overstated version and the dismissive version of its claim before saying what the evidence supports.
What Are We Arguing About?
The ten separate questions hiding inside “AI and the environment” — where each impact lands, and where each is actually decided. Start here.
Read the guide →Electricity and Emissions
US data centers used 4.4% of national electricity in 2023, headed for 6.7–12% by 2028. What that does to emissions depends on something the number doesn’t contain.
Read the guide →The Water Question
The most-quoted statistic in this debate has been retired by its own authors. What replaced it is more useful — and it points at your watershed, not the planet.
Read the guide →Who Pays
The health and cost burden of the AI buildout lands on specific counties and specific ratepayers — and the algorithms optimizing for aggregate efficiency make that worse, not better.
Read the guide →The North Carolina Case
A repealed carbon target, 37 unpublished tax determinations, a large-load queue the state’s own Commissioner calls 70% data centers, and an Attorney General who wouldn’t sign.
Read the guide →Who Gets a Say
Packed hearings, state preemption, NDAs, and $130B in blocked projects in one quarter. The constraint on participation has shifted from apathy to access.
Read the guide →When the Rules Are Broken
Forty-five generators with no permits, a citizen appeal dismissed as moot, and fines smaller than the delay they avoid. What enforcement does when a facility builds first.
Read the guide →The Hardware Question
The question this series once declined to answer, now researched: the AI mineral story is mostly copper and grid wire, the famous e-waste figure was recalibrated tenfold, and the biggest findings are the numbers nobody publishes.
Read the guide →The Sound Next Door
Five of the six data center class actions filed in 2026 are about noise. What the hum is, why an ordinance can be met while a bedroom still vibrates, and which fixes have actually worked.
Read the guide →What Are We Not Told
Water use held as a trade secret, projects code-named through approval, generators found by drone. What nobody is required to report, and the routes facts take around the gaps.
Read the guide →A gap, closed
Question 7 — mining, materials, and e-waste — sat on this hub as a declared blank from the day the series launched, because we hadn’t done the research and wouldn’t pretend to an answer. The research is done. The biggest findings turned out to be the numbers nobody publishes, and the guide says which ones.
Read the hardware guide →Both of the usual answers are wrong in the same way.
“AI is bad for the environment.”
The version that goes too far
Treats ten claims of wildly different evidence quality as one settled verdict, and leans on figures their own authors have since retired or recalibrated. The strongest version of this argument is weakened, not helped, by the numbers most often used to make it.
The version that waves it away
Answers a county-level rate increase with a global denominator — “it's only about 3% of world electricity” — which is true, and beside the point for the person holding the bill, breathing the plume, or hearing the hum.
What the evidence supports
Electricity demand is real and well measured. The carbon consequence depends on grid mix and the marginal plant, which is unresolved. Water, health, and noise burdens are real, local, and concentrated in specific basins, counties, and fence-line neighborhoods. Unpermitted generation is documented and in litigation. And the cost, consent, and disclosure questions are being decided right now, in dockets and hearings that most people never learn exist, or that, in a growing set of places, no longer exist to attend.
Sources for this split: lbnl2024 · healthComputing · floodlightDataOne · dcWatchTracker — full citations below.
Where this leads
Knowing which question you're asking is a skill.
This series applies it to one contested topic. The Applied AI Certification builds the underlying capability (telling a claim's scale from its rhetoric, and knowing what evidence would change your mind) across every domain where AI shows up, not just this one.
What this series is built on.
Every empirical claim across the ten guides traces to a source registry entry. Each carries three things: where it was published, how the number was produced, and the scale at which its claims hold. A federal report and a preprint are not the same kind of thing, and a modeled estimate is not a measurement.
Want CPAI to teach this in your community or classroom?
We deliver this material as workshops and sessions for schools, libraries, local government, and community organizations, including the version built for county-level decisions.