Stephanie Joyce
An investigation into data centers, water stress, wildfire risk—and the need for an evidence-based AI approach to extraordinary claims
There is a question circulating increasingly through online communities, local governments, and environmental discussions:
Is there a relationship between proposed data-center development, water stress, and the sudden emergence of wildfires?
At first glance, the question can sound conspiratorial.
But questions should not be dismissed simply because the hypothesis is uncomfortable.
They should be tested.
That is precisely where responsible AI—and a system designed to preserve evidence, provenance, uncertainty, and trust—can make a difference.
The Pattern People Think They’re Seeing
Across the United States, communities are confronting a rapidly expanding data-center buildout driven in part by artificial intelligence.
The infrastructure requirements are enormous: electricity, cooling, land, transmission capacity, water, backup generation, and increasingly sophisticated networking.
And communities are beginning to push back.
In June 2026, Spokane, Washington, adopted a one-year moratorium on new computer data centers. The city cited concerns involving water, wastewater, electricity, environmental impacts, and ratepayer costs.
Yakima County subsequently adopted a six-month pause on new data centers in unincorporated areas. County commissioners said they wanted additional rules and information in place before development proposals arrived.
In Spokane County, commissioners ultimately approved a shorter, four-month pause on new data-center permits, giving the county time to develop permanent zoning rules.
And in Walla Walla, Washington, a major data-center project associated with Amazon Web Services has been planned on a roughly 500-acre site in the Wallula Gap Business Park, with the proposed campus reaching billions of dollars in investment.
At the same time, wildfire seasons are becoming increasingly severe in many regions.
Europe has experienced extraordinary wildfire activity this summer, with prolonged drought and heat contributing to conditions favorable for fire.
So a hypothesis begins to emerge:
Where major data-center development is proposed, do we also see unusual changes in water availability, drought conditions, fire risk, or wildfire activity?
That is a legitimate question.
But it is not yet evidence of causation.
Correlation Is Not Causation
This distinction matters.
A data-center proposal appearing in the same region as a wildfire does not establish that the proposed data center caused the fire.
Likewise, a drought occurring before a wildfire does not establish that someone deliberately created the drought.
Wildfires have many potential ignition sources and are strongly influenced by environmental conditions including temperature, humidity, wind, vegetation dryness, precipitation, lightning, and human activity.
The responsible question is therefore not:
“Are these fires being deliberately created?”
It is:
“What does the evidence actually show?”
That question is much harder—and much more interesting.
The Water Question
Data centers can require substantial quantities of water, particularly facilities using water-intensive cooling systems.
That creates an important infrastructure question as AI computing expands:
What happens to local water systems when large computational facilities arrive in regions already experiencing drought or declining water availability?
This is one reason communities are beginning to demand greater transparency before approving projects.
Spokane’s moratorium, for example, calls for examination of water use, wastewater, electricity, environmental impacts, and costs.
Colorado Springs has likewise introduced guardrails requiring data centers to demonstrate adequate water supply, address infrastructure costs, conserve water, and mitigate other community impacts.
Those debates do not prove that data centers cause wildfires.
They demonstrate something more fundamental:
Data-center development is becoming an environmental and infrastructure question—not merely a technology question.
Then There’s the Satellite Question
Here’s where the story becomes even more unusual.
On July 9, 2026, the Federal Communications Commission authorized Reflect Orbital to operate its proposed Eärendil-1 demonstration satellite.
The spacecraft is designed around an approximately 18-meter by 18-meter reflective surface intended to redirect sunlight toward Earth after sunset.
According to the American Astronomical Society, the proposed demonstration could create an illuminated area roughly 5 kilometers wide on the ground. Reflect Orbital’s longer-term vision involves a much larger constellation of reflective satellites.
This is not science fiction.
The technology has been publicly proposed, and the FCC has authorized the demonstration mission.
It is also controversial.
Astronomers and environmental organizations have raised concerns about artificial nighttime illumination, astronomy, wildlife, and the broader environmental consequences of putting large reflective surfaces into orbit.
But here’s an important distinction:
The existence of a technology capable of reflecting sunlight does not mean it is being used to ignite wildfires.
There is currently no credible evidence establishing such a connection.
And that distinction is exactly why we need better evidence systems.
What About the Viral Maui “Laser” Photograph?
This is another place where the internet has mixed a real technological possibility with false evidence.
During the 2023 Maui wildfires, images circulated claiming to show a laser or directed-energy weapon striking Lahaina.
The images were compelling.
They were also misleading.
Several of the viral images were recycled or altered. One widely circulated image originated from a January 2018 controlled burn at a Marathon Oil refinery in Canton, Ohio, where the apparent “beam” was actually a cold-weather optical phenomenon known as a light pillar.
Another image was associated with a 2018 SpaceX Falcon 9 launch from Vandenberg, California.
A separate viral photograph of a church fire had been digitally altered to add an apparent light beam.
There is no credible evidence that a directed-energy weapon caused the Maui fires.
That matters.
Because if we want to investigate extraordinary claims, we cannot build the investigation on extraordinary images that haven’t been authenticated.
So What Should We Actually Investigate?
This is where the conversation becomes much more interesting.
Instead of asking an AI system to decide whether a conspiracy theory is “true” or “false,” imagine giving researchers a structured evidence environment containing:
- Data-center proposal locations
- Permit applications and zoning records
- Construction timelines
- Utility interconnection requests
- Electricity demand projections
- Water withdrawals and water-rights records
- Reservoir and aquifer levels
- Drought indices
- Soil-moisture measurements
- Temperature and precipitation anomalies
- Vegetation dryness
- Fire-weather indices
- Wildfire ignition locations
- Fire perimeter progression
- Satellite imagery
- Weather-station observations
- Lightning data
- Power-line and infrastructure records
- Official fire-investigation reports
- Public statements and regulatory decisions
Then ask a much harder question:
Do the timelines and spatial relationships actually hold up?
Were water levels declining before the project was proposed?
Did drought conditions precede both the project and the fire?
Was the wildfire ignition point geographically related to the proposed development?
Was there an alternative documented ignition source?
Did the fire occur before construction, during construction, or after the facility became operational?
How frequently does the apparent pattern occur when compared with regions that have no data-center proposal?
And most importantly:
Does the pattern survive statistical testing after controlling for drought, heat, wind, vegetation, lightning, human activity, and other known wildfire drivers?
That’s an investigation.
From “Daily Debunks” to Data Provenance
This is also where PulseDNA’s work becomes relevant.
One of the fundamental problems with today’s information environment isn’t simply that people lack data.
It’s that we lack trust continuity across data.
A satellite image may be real but misidentified.
A photograph may be authentic but taken years earlier.
A wildfire may be real while the explanation attached to it is fabricated.
A data-center proposal may be real while the alleged relationship to the fire is speculative.
And an AI system can easily connect those pieces into a compelling narrative without establishing whether the underlying evidence actually supports the conclusion.
That’s precisely the problem responsible AI infrastructure needs to address.
PulseDNA’s Trust System architecture—including the Trust State Function (TSF) and Recovery Score Confidence Index (RSCI)—is designed around the broader question of how trust, evidence, provenance, and confidence should be maintained as information moves through complex AI workflows.
The objective isn’t to tell people what to believe.
It’s to make it easier to determine why something should—or should not—be believed.
What Would Change Our Minds?
A scientifically responsible investigation needs falsifiability.
If the hypothesis is:
“Areas with proposed data centers experience unusual wildfire activity because of the development.”
Then we should be able to identify evidence that would disprove it.
For example, if a properly controlled analysis showed that wildfire occurrence was completely explained by established environmental and human ignition factors, the hypothesis would weaken.
If the apparent relationship disappeared after correcting for population density, drought, climate, vegetation, power infrastructure, and other confounding variables, the hypothesis would weaken.
Conversely, if a statistically significant relationship persisted across multiple independent regions and datasets—even after controlling for known variables—that would justify much deeper investigation.
That’s how you turn suspicion into science.
The Question Worth Asking
Maybe the internet is seeing a pattern that isn’t really there.
Maybe several unrelated events are being connected because humans are exceptionally good at detecting patterns.
Maybe the underlying issue is simply that data centers are increasingly being proposed in regions where water, energy, and land are already contested.
Or perhaps there is a previously overlooked relationship that deserves investigation.
We don’t know yet.
And that’s exactly the point.
We should not confuse “we don’t know” with “nothing is happening.”
But we also shouldn’t confuse “this looks suspicious” with “this has been proven.”
The responsible path is somewhere in between:
Collect the evidence.
Preserve its provenance.
Map the relationships.
Test the hypothesis.
Track uncertainty.
And be willing to change the conclusion when the evidence changes.
Because in an era where AI can generate a convincing narrative in seconds, the most valuable infrastructure may not be the system that produces the fastest answer.
It may be the system that can tell us:
How did we get to that answer—and can we trust the path that got us there?
PulseDNA Perspective
At PulseDNA, we believe the future of AI requires more than intelligent models.
It requires trust infrastructure capable of maintaining evidence, provenance, context, uncertainty, and accountability across complex systems.
The wildfire/data-center question is exactly the kind of problem that demonstrates why.
Don’t just ask AI what happened.
Ask AI:
What evidence supports it?
Where did that evidence come from?
What changed along the way?
What contradicts it?
What are we still uncertain about?
And perhaps most importantly:
What evidence would change our minds?
That is the beginning of trustworthy intelligence.
Works Cited
- City of Spokane. “Spokane City Council Passes One-Year Moratorium on Data Centers.” June 23, 2026. Source
- The Spokesman-Review. “Spokane City Council Approves Yearlong Moratorium on New Large Data Centers.” June 22–23, 2026. Source
- Yakima Herald-Republic. “Yakima County Commissioners Pass Six-Month Data Center Moratorium.” August 12, 2026. Source
- Apple Valley News Now. “Yakima County Commissioners Consider Temporary Moratorium on Data Centers.” August 2026. Source
- The Range. “Spokane County Reverses Course, Approving Four-Month Data Center Pause.” August 18, 2026. Source
- The Spokesman-Review. “Public Pressure Helps Persuade County Leaders to Pause Data Center Permitting.” August 18, 2026. Source
- Data Center Dynamics. “AWS Likely Behind $4.8bn Data Center in Walla Walla, Washington.” June 18, 2026. Source
- GovTech. “Key Decision Near for Proposed Eastern Wash. $5B Data Center.” October 23, 2024. Source
- Mappr. “Wildfires Across Europe in 2026: Mapping the Fires, the Deaths, and the Record Heat.” Updated August 2026. Source
- European Commission Joint Research Centre. “Current Wildfire Situation in Europe.” Updated August 19–21, 2026. Source
- Wildfire Today. “Europe Wildfires Continue to Burn at Near Record-Breaking Pace.” August 2026. Source
- Axios Colorado Springs. “Colorado Springs Puts Guardrails on New Data Centers.” August 17, 2026. Source
- City of Colorado Springs. “Colorado Springs Community-First Data Center Standards.” August 2026. Source
- SpaceNews. “FCC Approves First Reflect Orbital Satellite.” July 11, 2026. Source
- Federal Communications Commission. Order, DA 26-706, In re Reflect Orbital Application. July 9, 2026. FCC Order
- Physics World. “Astronomers Express Outrage After Regulators Approve ‘Space Mirror’ Permit.” 2026. Source
- American Astronomical Society. “AAS Public Policy Experts Available to Comment on FCC Approval of Reflect Orbital’s Eärendil-1 Mission.” July 13, 2026. Source
- Astronomy.com. “FCC Approves Reflect Orbital Filing for Mirror in Space.” July 22, 2026. Source
- Poynter / PolitiFact. “Fact-Checking a Bizarre Claim That Government ‘Direct Energy Weapons’ Caused the Maui Fires.” August 2023. Source
- Full Fact. “Photos Don’t Show Evidence of Government ‘Laser Weapons’ Starting Wildfires.” August 17, 2023. Source
- BBC News. “Hawaii Wildfires: ‘Directed Energy Weapon’ and Other False Claims Go Viral.” August 2023. Source
- NBC News. “Maui Wildfire Conspiracy Theories Spread on Social Media.” August 2023. Source
- PulseDNA. PulseDNA Federated AI. PulseDNA
An investigation into data centers, water stress, wildfire risk—and the need for an evidence-based AI approach to extraordinary claims
There is a question circulating increasingly through online communities, local governments, and environmental discussions:
Is there a relationship between proposed data-center development, water stress, and the sudden emergence of wildfires?
At first glance, the question can sound conspiratorial.
But questions should not be dismissed simply because the hypothesis is uncomfortable.
They should be tested.
That is precisely where responsible AI—and a system designed to preserve evidence, provenance, uncertainty, and trust—can make a difference.
The Pattern People Think They’re Seeing
Across the United States, communities are confronting a rapidly expanding data-center buildout driven in part by artificial intelligence.
The infrastructure requirements are enormous: electricity, cooling, land, transmission capacity, water, backup generation, and increasingly sophisticated networking.
And communities are beginning to push back.
In June 2026, Spokane, Washington, adopted a one-year moratorium on new computer data centers. The city cited concerns involving water, wastewater, electricity, environmental impacts, and ratepayer costs.
Yakima County subsequently adopted a six-month pause on new data centers in unincorporated areas. County commissioners said they wanted additional rules and information in place before development proposals arrived.
In Spokane County, commissioners ultimately approved a shorter, four-month pause on new data-center permits, giving the county time to develop permanent zoning rules.
And in Walla Walla, Washington, a major data-center project associated with Amazon Web Services has been planned on a roughly 500-acre site in the Wallula Gap Business Park, with the proposed campus reaching billions of dollars in investment.
At the same time, wildfire seasons are becoming increasingly severe in many regions.
Europe has experienced extraordinary wildfire activity this summer, with prolonged drought and heat contributing to conditions favorable for fire.
So a hypothesis begins to emerge:
Where major data-center development is proposed, do we also see unusual changes in water availability, drought conditions, fire risk, or wildfire activity?
That is a legitimate question.
But it is not yet evidence of causation.
Correlation Is Not Causation
This distinction matters.
A data-center proposal appearing in the same region as a wildfire does not establish that the proposed data center caused the fire.
Likewise, a drought occurring before a wildfire does not establish that someone deliberately created the drought.
Wildfires have many potential ignition sources and are strongly influenced by environmental conditions including temperature, humidity, wind, vegetation dryness, precipitation, lightning, and human activity.
The responsible question is therefore not:
“Are these fires being deliberately created?”
It is:
“What does the evidence actually show?”
That question is much harder—and much more interesting.
The Water Question
Data centers can require substantial quantities of water, particularly facilities using water-intensive cooling systems.
That creates an important infrastructure question as AI computing expands:
What happens to local water systems when large computational facilities arrive in regions already experiencing drought or declining water availability?
This is one reason communities are beginning to demand greater transparency before approving projects.
Spokane’s moratorium, for example, calls for examination of water use, wastewater, electricity, environmental impacts, and costs.
Colorado Springs has likewise introduced guardrails requiring data centers to demonstrate adequate water supply, address infrastructure costs, conserve water, and mitigate other community impacts.
Those debates do not prove that data centers cause wildfires.
They demonstrate something more fundamental:
Data-center development is becoming an environmental and infrastructure question—not merely a technology question.
Then There’s the Satellite Question
Here’s where the story becomes even more unusual.
On July 9, 2026, the Federal Communications Commission authorized Reflect Orbital to operate its proposed Eärendil-1 demonstration satellite.
The spacecraft is designed around an approximately 18-meter by 18-meter reflective surface intended to redirect sunlight toward Earth after sunset.
According to the American Astronomical Society, the proposed demonstration could create an illuminated area roughly 5 kilometers wide on the ground. Reflect Orbital’s longer-term vision involves a much larger constellation of reflective satellites.
This is not science fiction.
The technology has been publicly proposed, and the FCC has authorized the demonstration mission.
It is also controversial.
Astronomers and environmental organizations have raised concerns about artificial nighttime illumination, astronomy, wildlife, and the broader environmental consequences of putting large reflective surfaces into orbit.
But here’s an important distinction:
The existence of a technology capable of reflecting sunlight does not mean it is being used to ignite wildfires.
There is currently no credible evidence establishing such a connection.
And that distinction is exactly why we need better evidence systems.
What About the Viral Maui “Laser” Photograph?
This is another place where the internet has mixed a real technological possibility with false evidence.
During the 2023 Maui wildfires, images circulated claiming to show a laser or directed-energy weapon striking Lahaina.
The images were compelling.
They were also misleading.
Several of the viral images were recycled or altered. One widely circulated image originated from a January 2018 controlled burn at a Marathon Oil refinery in Canton, Ohio, where the apparent “beam” was actually a cold-weather optical phenomenon known as a light pillar.
Another image was associated with a 2018 SpaceX Falcon 9 launch from Vandenberg, California.
A separate viral photograph of a church fire had been digitally altered to add an apparent light beam.
There is no credible evidence that a directed-energy weapon caused the Maui fires.
That matters.
Because if we want to investigate extraordinary claims, we cannot build the investigation on extraordinary images that haven’t been authenticated.
So What Should We Actually Investigate?
This is where the conversation becomes much more interesting.
Instead of asking an AI system to decide whether a conspiracy theory is “true” or “false,” imagine giving researchers a structured evidence environment containing:
- Data-center proposal locations
- Permit applications and zoning records
- Construction timelines
- Utility interconnection requests
- Electricity demand projections
- Water withdrawals and water-rights records
- Reservoir and aquifer levels
- Drought indices
- Soil-moisture measurements
- Temperature and precipitation anomalies
- Vegetation dryness
- Fire-weather indices
- Wildfire ignition locations
- Fire perimeter progression
- Satellite imagery
- Weather-station observations
- Lightning data
- Power-line and infrastructure records
- Official fire-investigation reports
- Public statements and regulatory decisions
Then ask a much harder question:
Do the timelines and spatial relationships actually hold up?
Were water levels declining before the project was proposed?
Did drought conditions precede both the project and the fire?
Was the wildfire ignition point geographically related to the proposed development?
Was there an alternative documented ignition source?
Did the fire occur before construction, during construction, or after the facility became operational?
How frequently does the apparent pattern occur when compared with regions that have no data-center proposal?
And most importantly:
Does the pattern survive statistical testing after controlling for drought, heat, wind, vegetation, lightning, human activity, and other known wildfire drivers?
That’s an investigation.
From “Daily Debunks” to Data Provenance
This is also where PulseDNA’s work becomes relevant.
One of the fundamental problems with today’s information environment isn’t simply that people lack data.
It’s that we lack trust continuity across data.
A satellite image may be real but misidentified.
A photograph may be authentic but taken years earlier.
A wildfire may be real while the explanation attached to it is fabricated.
A data-center proposal may be real while the alleged relationship to the fire is speculative.
And an AI system can easily connect those pieces into a compelling narrative without establishing whether the underlying evidence actually supports the conclusion.
That’s precisely the problem responsible AI infrastructure needs to address.
PulseDNA’s Trust System architecture—including the Trust State Function (TSF) and Recovery Score Confidence Index (RSCI)—is designed around the broader question of how trust, evidence, provenance, and confidence should be maintained as information moves through complex AI workflows.
The objective isn’t to tell people what to believe.
It’s to make it easier to determine why something should—or should not—be believed.
What Would Change Our Minds?
A scientifically responsible investigation needs falsifiability.
If the hypothesis is:
“Areas with proposed data centers experience unusual wildfire activity because of the development.”
Then we should be able to identify evidence that would disprove it.
For example, if a properly controlled analysis showed that wildfire occurrence was completely explained by established environmental and human ignition factors, the hypothesis would weaken.
If the apparent relationship disappeared after correcting for population density, drought, climate, vegetation, power infrastructure, and other confounding variables, the hypothesis would weaken.
Conversely, if a statistically significant relationship persisted across multiple independent regions and datasets—even after controlling for known variables—that would justify much deeper investigation.
That’s how you turn suspicion into science.
The Question Worth Asking
Maybe the internet is seeing a pattern that isn’t really there.
Maybe several unrelated events are being connected because humans are exceptionally good at detecting patterns.
Maybe the underlying issue is simply that data centers are increasingly being proposed in regions where water, energy, and land are already contested.
Or perhaps there is a previously overlooked relationship that deserves investigation.
We don’t know yet.
And that’s exactly the point.
We should not confuse “we don’t know” with “nothing is happening.”
But we also shouldn’t confuse “this looks suspicious” with “this has been proven.”
The responsible path is somewhere in between:
Collect the evidence.
Preserve its provenance.
Map the relationships.
Test the hypothesis.
Track uncertainty.
And be willing to change the conclusion when the evidence changes.
Because in an era where AI can generate a convincing narrative in seconds, the most valuable infrastructure may not be the system that produces the fastest answer.
It may be the system that can tell us:
How did we get to that answer—and can we trust the path that got us there?
PulseDNA Perspective
At PulseDNA, we believe the future of AI requires more than intelligent models.
It requires trust infrastructure capable of maintaining evidence, provenance, context, uncertainty, and accountability across complex systems.
The wildfire/data-center question is exactly the kind of problem that demonstrates why.
Don’t just ask AI what happened.
Ask AI:
What evidence supports it?
Where did that evidence come from?
What changed along the way?
What contradicts it?
What are we still uncertain about?
And perhaps most importantly:
What evidence would change our minds?
That is the beginning of trustworthy intelligence.
Works Cited
- City of Spokane. “Spokane City Council Passes One-Year Moratorium on Data Centers.” June 23, 2026. Source
- The Spokesman-Review. “Spokane City Council Approves Yearlong Moratorium on New Large Data Centers.” June 22–23, 2026. Source
- Yakima Herald-Republic. “Yakima County Commissioners Pass Six-Month Data Center Moratorium.” August 12, 2026. Source
- Apple Valley News Now. “Yakima County Commissioners Consider Temporary Moratorium on Data Centers.” August 2026. Source
- The Range. “Spokane County Reverses Course, Approving Four-Month Data Center Pause.” August 18, 2026. Source
- The Spokesman-Review. “Public Pressure Helps Persuade County Leaders to Pause Data Center Permitting.” August 18, 2026. Source
- Data Center Dynamics. “AWS Likely Behind $4.8bn Data Center in Walla Walla, Washington.” June 18, 2026. Source
- GovTech. “Key Decision Near for Proposed Eastern Wash. $5B Data Center.” October 23, 2024. Source
- Mappr. “Wildfires Across Europe in 2026: Mapping the Fires, the Deaths, and the Record Heat.” Updated August 2026. Source
- European Commission Joint Research Centre. “Current Wildfire Situation in Europe.” Updated August 19–21, 2026. Source
- Wildfire Today. “Europe Wildfires Continue to Burn at Near Record-Breaking Pace.” August 2026. Source
- Axios Colorado Springs. “Colorado Springs Puts Guardrails on New Data Centers.” August 17, 2026. Source
- City of Colorado Springs. “Colorado Springs Community-First Data Center Standards.” August 2026. Source
- SpaceNews. “FCC Approves First Reflect Orbital Satellite.” July 11, 2026. Source
- Federal Communications Commission. Order, DA 26-706, In re Reflect Orbital Application. July 9, 2026. FCC Order
- Physics World. “Astronomers Express Outrage After Regulators Approve ‘Space Mirror’ Permit.” 2026. Source
- American Astronomical Society. “AAS Public Policy Experts Available to Comment on FCC Approval of Reflect Orbital’s Eärendil-1 Mission.” July 13, 2026. Source
- Astronomy.com. “FCC Approves Reflect Orbital Filing for Mirror in Space.” July 22, 2026. Source
- Poynter / PolitiFact. “Fact-Checking a Bizarre Claim That Government ‘Direct Energy Weapons’ Caused the Maui Fires.” August 2023. Source
- Full Fact. “Photos Don’t Show Evidence of Government ‘Laser Weapons’ Starting Wildfires.” August 17, 2023. Source
- BBC News. “Hawaii Wildfires: ‘Directed Energy Weapon’ and Other False Claims Go Viral.” August 2023. Source
- NBC News. “Maui Wildfire Conspiracy Theories Spread on Social Media.” August 2023. Source
- PulseDNA. PulseDNA Federated AI. PulseDNA
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