Saturday, September 12, 2026

Dear Daily Disaster Diary, September 13 2026

 



THE FOREST IS NOT YOUR MINE. THE PEOPLE ARE NOT YOUR LAB RATS.


An Adaptation-Guide manifesto for a world that keeps treating Africa as a warehouse until the bill comes due.


Let’s stop pretending this is complicated.

An Ebola outbreak erupts in the Democratic Republic of Congo, and suddenly the world discovers Congo again.

Scientists sequence the virus. Governments issue alerts. Laboratories mobilize. International organizations arrive. Experts fly in. Money starts moving.

And then, eventually, the cameras leave.

That is the problem.

We keep arriving after the fire starts.

We keep congratulating ourselves for becoming better at extinguishing fires while refusing to ask why we keep throwing matches into the forest.

WELCOME TO THE GLOBAL HEALTH HYPOCRISY

We like to describe epidemics as biological accidents.

A virus jumps from an animal to a human.

A mutation occurs.

An outbreak begins.

A health system struggles.

People die.

It sounds clean. Clinical. Almost inevitable.

But disease emergence does not happen in a vacuum.

Forests are cleared. Roads cut through ecosystems. Mines expand. Wildlife habitats fragment. People are displaced. Communities become mobile. Poverty deepens. Armed groups compete for territory and resources. Health systems remain chronically underfunded.

Then somebody asks:

“Where did this virus come from?”

Wrong question.

The better question is:

“What did we do to the ecosystem before the virus arrived?”

Disease emergence is not merely a microbiological problem.

It is an ecological warning light.

And we keep smashing the dashboard.


THE ULTIMATE ADAPTATION GUIDE: MOVE UPSTREAM

Here is the uncomfortable lesson:

The ultimate adaptation strategy isn't learning how to survive the next outbreak.

It is reducing the conditions that make the next outbreak more likely.

That means moving upstream.

Before the hospital.

Before the laboratory.

Before the quarantine tent.

Before the emergency funding.

Before the body bags.

To the forest.

To the mine.

To the water.

To the supply chain.

To governance.

To poverty.

To the communities living on top of the resources the rest of us desperately want.


IF YOU MINE AFRICA, YOU OWN THE CONSEQUENCES

And this needs to be said without diplomatic bubble wrap:

If a company or country extracts minerals from the African continent, it has responsibilities that do not disappear at the mine gate.

You want the cobalt?

Fine.

You want the copper?

Fine.

You want the lithium?

Fine.

You want coltan, tin, tungsten, gold or whatever the next indispensable ingredient of the global economy happens to be?

Then act like a guest.

Because you are one.

And guests don't burn down the house.

They don't poison the well.

They don't destroy the garden.

They don't leave garbage in the bedroom and send somebody else the cleanup bill.

The minimum standard should be brutally simple:

Keep the air clean.

Keep the water clean.

Keep the soil functioning.

Protect forests and biodiversity.

Respect Indigenous and local communities.

Pay workers fairly and protect them.

Build infrastructure that benefits the people who live there.

Publish where the minerals come from.

Pay the taxes and royalties that are owed.

Repair environmental damage.

Fund local health systems.

Invest in education and community resilience.

And when you leave, don't leave a wasteland behind.

That's it.

Not revolutionary.

Not utopian.

Not anti-business.

It's the basic etiquette of being a guest.


YOUR SMARTPHONE HAS A ZIP CODE

We have become extraordinarily good at hiding consequences.

You hold a smartphone in your hand.

It looks clean.

Elegant.

Weightless.

A miracle of engineering.

But the supply chain behind that miracle can stretch across continents.

Forest.

Road.

Mine.

Truck.

Refinery.

Factory.

Container ship.

Data centre.

Store.

Your pocket.

We love the final product because the environmental and human costs have been geographically outsourced.

Out of sight. Out of mind.

Until Ebola appears.

Then suddenly the geography disappears.

A pathogen doesn't care about customs declarations.

It doesn't care about corporate headquarters.

It doesn't care about the distance between a Congolese mining community and Toronto.

Biology has no respect for supply-chain boundaries.


AND HERE'S THE PART WE REALLY DON'T WANT TO HEAR

Protecting Congo's forests isn't merely a Congolese issue.

It isn't merely an African issue.

It isn't merely a climate issue.

It isn't merely a biodiversity issue.

It's a global health issue.

Healthy ecosystems can help regulate interactions among wildlife, pathogens and humans. Destroying those ecological relationships can create new opportunities for pathogens to cross species barriers.

That doesn't mean:

“Deforestation causes Ebola.”

Reality is considerably more complicated.

It means ecological disruption can become one piece of the enormous puzzle of disease emergence.

And that should terrify us.

Because we're simultaneously destabilizing ecosystems, changing the climate, expanding human settlements and moving people and commodities around the planet at unprecedented speed.

Then we're surprised when biology occasionally answers back.


STOP CALLING THIS A “POOR COUNTRY PROBLEM”

This is where the moral accounting becomes particularly ugly.

The communities living beside the mine often experience the pollution.

The company sells the mineral.

The global consumer buys the technology.

The manufacturer books the revenue.

The investor celebrates the quarterly results.

And somebody else gets the contaminated river.

That's not a supply chain.

That's a liability chain.

And if the economic system is designed so that profits travel upward while environmental damage and disease risk remain behind, then the system isn't merely inefficient.

It's ethically bankrupt.


CONGO DOESN'T NEED OUR PITY. IT NEEDS OUR ACCOUNTABILITY.

This distinction matters.

The Democratic Republic of Congo isn't some helpless landscape waiting for enlightened outsiders to rescue it.

Congolese physicians, scientists, conservationists, community leaders, humanitarian workers and ordinary citizens have been doing extraordinary work under conditions most of us would find unimaginable.

They don't need another international delegation arriving with a PowerPoint presentation about resilience.

They need resources, security, functioning institutions, environmental protection and long-term partnership.

And they need those things before the international community becomes frightened.

Not after.


THE “EMERGENCY RESPONSE” MODEL IS BROKEN

Our current system is basically:

Destroy ecosystem → destabilize community → increase exposure → outbreak → panic → emergency funding → heroic response → declare victory → leave → repeat.

Congratulations.

We've invented the world's most expensive version of Whack-a-Mole.

The real adaptation guide says:

1. PROTECT THE FOREST

Forest conservation is not decorative environmentalism.

It is infrastructure.

It is climate infrastructure.

It is biodiversity infrastructure.

It is water infrastructure.

And potentially, public-health infrastructure.

2. PROTECT THE WATER

A mine should never get a free pass to contaminate the river simply because the mineral inside the ground is valuable.

If your business model requires poisoning somebody else's drinking water, your business model is broken.

3. PROTECT THE AIR

Dust, particulates, toxic emissions and industrial pollution do not magically become somebody else's problem because they occur thousands of kilometres from the consumer.

Pollution is pollution.

4. PROTECT THE PEOPLE

Local communities must not be treated as obstacles between corporations and mineral deposits.

They are stakeholders.

They are neighbours.

They are human beings.

And in many cases, they were there long before the mining company arrived.

5. MAKE THE SUPPLY CHAIN VISIBLE

If a company cannot tell you where a critical mineral came from, how it was extracted and what environmental and social standards applied to it, consumers and governments should be asking:

Why not?

6. PUT MONEY INTO LOCAL HEALTH SYSTEMS

Don't wait for an international emergency.

Build laboratories.

Train clinicians.

Strengthen surveillance.

Support community health workers.

Improve roads and communications.

Build capacity locally.

Prevention is cheaper than catastrophe.

7. PAY FOR THE DAMAGE

The polluter should not be allowed to privatize the profit and socialize the ecological bill.

If extraction damages an ecosystem, the economic model must include restoration.

Not someday.

From day one.

8. MAKE CONSERVATION A SECURITY POLICY

A stable ecosystem is an asset.

A destroyed ecosystem is a liability.

Forest protection should therefore be treated as part of national security, economic security, climate security and health security.


CANADA, THIS MEANS YOU TOO

Canada likes to think of itself as a responsible mining nation.

Good.

Then prove it.

If Canadian companies, investors or supply chains benefit from critical minerals extracted abroad, Canadian leadership should mean more than securing access to those minerals.

It should mean demanding credible environmental standards, transparent supply chains, meaningful community participation, strong labour protections and enforceable accountability.

Because there is an enormous temptation emerging around the global energy transition:

“We need the minerals, therefore we can't be too picky about how we get them.”

No.

Absolutely not.

The clean-energy transition cannot become an excuse for creating another generation of sacrificed landscapes and sacrificed communities.

A green technology built on a poisoned river isn't green enough.


THE NEXT PANDEMIC DOESN'T NEED AN INVITATION

We have spent decades becoming extraordinarily sophisticated at detecting pathogens.

Fantastic.

Keep doing it.

Sequence faster.

Model better.

Diagnose earlier.

Share data.

Build vaccines.

Strengthen surveillance.

But don't confuse better smoke detectors with fewer fires.

If we want fewer outbreaks, we have to investigate the conditions that make pathogen emergence more likely.

That means ecology.

Land use.

Climate.

Biodiversity.

Migration.

Conflict.

Poverty.

Governance.

Mining.

Agriculture.

Urbanization.

And the global appetite for cheap resources.

Public health doesn't begin at the hospital door.

It begins much further upstream.


THE NEW RULE OF GLOBALIZATION

Here's the rule we should tattoo onto every corporate boardroom, government ministry and international trade agreement:

If you profit from a place, you inherit a responsibility for the place.

Not ownership.

Not paternalism.

Responsibility.

If you extract its resources, protect its environment.

If you disrupt its ecosystem, restore it.

If you employ its people, protect them.

If you profit from its minerals, invest in its communities.

If your supply chain depends upon its forests, help keep those forests standing.

If you call yourself a partner, behave like one.


THE ULTIMATE ADAPTATION GUIDE

Adaptation is usually presented as something passive:

Build a seawall.

Raise a road.

Install an air conditioner.

Stock emergency supplies.

Prepare for the next outbreak.

All useful.

But the deepest form of adaptation is something much more radical:

Stop manufacturing vulnerability.

Don't destroy the ecological systems that protect us and then spend billions trying to compensate for their destruction.

Don't impoverish communities and then wonder why health systems collapse.

Don't destabilize regions through resource extraction and then act shocked when insecurity complicates disease control.

Don't destroy biodiversity and then pretend ecological disruption has nothing to do with human health.

Don't consume endlessly and outsource the consequences geographically.

And above all:

Don't confuse distance with innocence.


THE FINAL ADAPTATION PRINCIPLE

The Congo is not a warehouse.

Its forests are not empty space.

Its rivers are not industrial drains.

Its minerals are not free.

Its communities are not expendable.

And its epidemics are not somebody else's problem.

We are connected whether we like it or not.

The mine is connected to the smartphone.
The smartphone is connected to the supply chain.
The supply chain is connected to the forest.
The forest is connected to the climate.
The ecosystem is connected to disease emergence.
And disease is connected to every airport on Earth.

That's globalization.

So here's the choice.

We can keep waiting for the next virus to cross a border before we care.

Or we can finally understand that the most sophisticated disease-prevention technology on Earth may be a healthy ecosystem inhabited by healthy communities.

The ultimate adaptation guide isn't:

“How do we survive the next disaster?”

It's:

“How the hell do we stop creating the conditions for the disaster in the first place?”

Because if you're going into somebody else's country to take its resources, there is one rule that shouldn't require a 400-page international agreement to understand:

You are a guest.

Don't poison the water.

Don't poison the air.

Don't destroy the house.

Help the people who live there.

And leave the place better than you found it.

It really isn't that complicated.


yours truly,

Adaptation-Guide

Friday, September 11, 2026

Dear Daily Disaster Diary, September 12 2026

 PART TWO......


WELCOME TO THE AI TAX


I'm not talking about banning AI.

I'm talking about something much more radical:

Make AI pay its own way.

An AI/data-centre tax could be structured around several components:

1. Electricity consumption

The more electricity a facility consumes, the more it pays.

2. Carbon intensity

If your electricity comes from gas or coal, your tax goes up.

If you genuinely add new zero-carbon generation, your tax goes down.

3. Water consumption

If your facility consumes scarce freshwater, you pay for the resource.

4. Grid infrastructure

If taxpayers have to finance substations, transmission lines or grid upgrades specifically because of your enormous electricity demand, you pay the incremental cost.

5. Local environmental impact

Communities should receive compensation for land, water, noise, heat, infrastructure and other externalities.

6. Windfall/excise taxation

If AI companies are extracting extraordinary profits from a resource-intensive business, a modest revenue or profit-based levy can capture some of that economic rent.

That's not anti-business.

That's capitalism with the bill attached.


VIRGINIA JUST SHOWED THAT IT CAN BE DONE

Virginia has already moved in this direction.

Beginning July 1, 2026, the state imposed a $0.011-per-kWh electricity consumption tax on certain data-centre operators.

The law caps the amount deposited into the state's general fund at $600 million per fiscal year, with additional revenues subject to specific provisions in the legislation.

Is that enough?

Probably not.

But it destroys one of the industry's favourite arguments:

“It can't be done.”

Apparently it can.

The question is whether governments have the political courage to do it at the scale required.


AND WHERE SHOULD THE MONEY GO?

Now we're getting interesting.

Because an AI tax shouldn't simply disappear into some government's general operating budget.

Put it to work.

Imagine billions flowing annually into:

Cancer research.

New treatments.

Clinical trials.

Early detection.

Precision medicine.

Food security.

Regenerative agriculture.

Drought-resistant crops.

Irrigation efficiency.

Food-waste reduction.

Clean energy.

Grid modernization.

Storage.

Transmission.

Community solar.

Nuclear.

Geothermal.

Climate adaptation.

Flood protection.

Wildfire prevention.

Heat shelters.

Cooling centres.

Water infrastructure.

Early-warning systems.

Education.

Teachers.

Schools.

Scholarships.

Digital literacy.

Scientific research.

Vocational training.

Workers displaced by automation.

Retraining.

Income support.

New industries.

Apprenticeships.

Transition programmes.


THINK ABOUT THAT TRADE-OFF

We are currently engaged in an extraordinary experiment.

We are taking enormous quantities of electricity, water, capital and human talent and pouring them into computational infrastructure.

Some of that will produce extraordinary breakthroughs.

Absolutely.

AI could accelerate drug discovery.

It could improve weather forecasting.

It could optimize electrical grids.

It could help farmers.

It could help scientists.

It could save lives.

That's precisely why we shouldn't allow the industry's physical costs to become an afterthought.

The question isn't:

“AI or no AI?”

That's a childish question.

The real question is:

“What kind of AI economy do we want?”

One where the winners privatize the gains while taxpayers absorb the externalities?

Or one where the industry pays for the resources it consumes and society decides how the proceeds are invested?


THE “BUT AI WILL SAVE THE PLANET” DEFENCE

Maybe it will.

Maybe AI will discover technologies that transform energy, medicine, agriculture and climate adaptation.

Fantastic.

Then prove it.

Because promising future benefits does not give an industry a licence to dump present-day costs onto everyone else.

The fossil-fuel industry made promises too.

The chemical industry made promises.

The plastics industry made promises.

The automobile industry made promises.

Industrial civilization has a spectacular history of discovering that “the technology will solve it later” is a very convenient sentence when someone else is paying the bill today.


AND HERE'S THE MOST UNCOMFORTABLE PART

The environmental cost isn't the only externality.

There is also the economic question.

What happens if communities spend billions preparing infrastructure for an AI boom...

and the AI boom doesn't deliver the expected returns?

The Financial Times reports that global data-centre investment could reach $7 trillion by 2030, while investors and insurers are increasingly scrutinizing financing, demand, technology-obsolescence and stranded-asset risks.

Imagine a community builds the roads.

The utility builds the transmission.

The taxpayers provide incentives.

The electricity grid expands.

The water system expands.

Then the technology changes.

Or AI demand disappoints.

Or efficiency improves dramatically.

Or another computing architecture replaces today's infrastructure.

Who owns the stranded assets?

And who pays?


THE WALLET IS YOUR WEAPON

Here's where you come in.

You don't have to be a computer scientist.

You don't have to understand transformer architecture.

You don't have to know what a GPU does.

You don't even have to hate AI.

You simply have to ask one question:

“Who pays?”

When a company builds an enormous data centre:

Who pays for the electricity?

Who pays for the water?

Who pays for the grid?

Who pays for the pollution?

Who pays for the carbon?

Who pays when the local electricity bill rises?

Who pays when a drought hits?

Who pays when the river runs low?

Who pays when the cooling system needs another billion litres of water?

Who pays when taxpayers subsidize the infrastructure?

And finally:

Who gets the profits?

If the answer is:

“The corporation gets the profits and the public gets the environmental bill,”

then we don't have an AI revolution.

We have an old-fashioned corporate extraction machine wearing a futuristic costume.


THE BILLION-DOLLAR QUESTION

There is nothing inherently wrong with making money.

There is nothing inherently wrong with AI.

There is nothing inherently wrong with building data centres.

There is everything wrong with pretending that industrial-scale infrastructure has no industrial-scale consequences.

Amazon itself says its absolute carbon emissions increased 6% in 2024, even while its carbon intensity fell.

Microsoft says its total emissions were 23.4% above its 2020 baseline, citing growth factors including AI and cloud expansion.

Those aren't climate activists making those admissions.

Those are the companies themselves.

And the climate doesn't care whether an emission was generated by a coal plant, a server farm or a beautifully designed corporate sustainability report.

A tonne of CO₂ is a tonne of CO₂.


THE AI DATA-CENTRE NIGHTMARE ISN'T HERE TOMORROW

It's being built right now.

The cranes are already there.

The transformers are already being ordered.

The gas turbines are already being planned.

The water systems are already being designed.

The electricity demand is already appearing in utility forecasts.

And the financial commitments are already reaching staggering proportions.

The technology may be revolutionary.

But the infrastructure underneath it is brutally physical.

Concrete. Steel. Copper. Water. Electricity. Land. Fossil fuels.

That's the real AI.


SO HERE'S THE DEAL

Don't ban it.

Tax it.

Don't demonize innovation.

Price its externalities.

Don't prevent companies from becoming extraordinarily wealthy.

Make extraordinarily wealthy companies extraordinarily responsible for the damage associated with their business model.

Don't stop building clean energy.

Make AI finance the clean energy it requires.

Don't tell families to conserve water while corporations get industrial exemptions.

Put every major water user under the same principle: scarcity has a price.

Don't tell homeowners to turn down their thermostats while data centres consume an ever-larger share of the grid.

Make the largest new electricity loads pay their fair share of grid expansion.

And don't let politicians hand out billions in subsidies while telling taxpayers there isn't enough money for schools, hospitals, climate adaptation and scientific research.


BECAUSE HERE'S THE GREAT IRONY

The AI industry tells us it can optimize everything.

Fine.

Let's optimize the priorities.

Would you rather spend the next billion dollars:

building another server farm?

Or:

developing a cancer treatment?

Feeding children?

Training teachers?

Building wildfire defences?

Protecting drinking water?

Hardening the electricity grid?

Preparing cities for deadly heat?

Developing drought-resistant agriculture?

Educating the next generation?

Perhaps the answer isn't always either/or.

But that's precisely why we need the debate.

Because capital is finite.

Electricity is finite.

Fresh water is finite.

Land is finite.

Public patience is finite.

And the planet is definitely finite.


THE FINAL PROMPT

Big Tech loves asking us to interact with AI.

So here's one prompt I'd like every politician, regulator and citizen to enter:

“Calculate the full environmental and social cost of this data centre. Then send me the bill.”

And if the answer comes back:

“The public pays.”

Hit REGENERATE.


YOUR WALLET. YOUR PURSE. YOUR POWER.

You don't have to wait for Silicon Valley to discover ethics.

You don't have to wait for politicians to grow a backbone.

You don't have to become an AI expert.

You have something every corporation ultimately understands: purchasing power.

Ask questions.

Challenge subsidies.

Support politicians who demand full-cost accounting.

Support companies that build genuinely additional clean energy.

Question businesses that hide behind green accounting while their absolute emissions rise.

And when you spend your money, remember:

Every dollar is a vote.

Every purchase tells a corporation what you tolerate.

Every subscription tells a company what business model you will finance.

Every investment tells markets what future you believe in.

Every election tells governments whose interests matter.

So use the weapon sitting in your hand.

YOUR WALLET. YOUR PURSE.

Use it.

Because the most dangerous thing about the AI data-centre boom isn't that machines are getting smarter.

It's that we may be allowing the machines to become richer while the planet becomes poorer.

And if the AI industry really believes its technology is going to build a better future—

then it should have no problem paying for one.

Tax the electricity.

Tax the carbon.

Price the water.

Make the grid upgrades pay-as-you-grow.

End sweetheart subsidies that socialize infrastructure costs.

Invest the proceeds in humanity.

Because if AI can generate trillions in private wealth, surely we can demand that it generate something else:

A public dividend.

Not AI at any cost.

AI worth the cost.


yours truly,

Adaptation-Guide

Thursday, September 10, 2026

Dear Daily Disaster Diary, September 11 2026

“They call it the cloud because ‘industrial-scale electricity and water consumption, fossil-fuel emissions and taxpayer-subsidized infrastructure’ doesn’t fit on a marketing brochure. If AI can turn trillions of dollars into private wealth, it can damn well pay the environmental bill for creating it. Don’t let the richest industry on Earth privatize the profits and socialize the pollution—tax the machines, price the water, clean the grid, and put the money where humanity actually needs it: curing disease, feeding people, educating children and defending a planet that doesn’t have a delete button.” 

-adaptation-guide



THE AI DATA-CENTRE NIGHTMARE: TAX THE MACHINES BEFORE THEY TAX THE PLANET


The tech industry wants us to believe artificial intelligence is weightless, frictionless and almost magical. It isn't. Behind every “simple” AI prompt sits a physical industrial machine consuming electricity, water, land, steel, concrete and—too often—fossil fuels. And someone is going to pay for that. The only question is whether it will be Big Tech or everyone else.


There is a dirty little secret hiding behind the shiny promise of artificial intelligence:

AI is not in the cloud.

The “cloud” is a gigantic industrial facility full of computers, transformers, cooling equipment, backup generators, transmission lines and warehouses of hardware.

It consumes electricity.

It consumes water.

It consumes land.

It produces heat.

And increasingly, it produces carbon.

And while the corporations building this infrastructure are valued in the trillions of dollars, much of the environmental bill is quietly being pushed toward the public.

That isn't innovation.

That's privatized profit with socialized consequences.

So here's an idea that Silicon Valley will absolutely hate:

Tax AI.

Not because AI is inherently evil.

Not because technology should be stopped.

Not because we should smash the servers and return to typewriters.

Tax it because nothing this enormous should be allowed to operate as though its environmental footprint is somebody else's problem.


THE NUMBERS ARE GETTING HARD TO IGNORE

Let's start with the number that should make every electricity regulator, politician and homeowner sit up straight.

Lawrence Berkeley National Laboratory's June 2026 update estimates that U.S. data centres could consume 11.8% of all U.S. electricity by 2030.

And that's the middle scenario.

The modelling range runs from 9.5% to 15.3%. The reference case translates into roughly 649 terawatt-hours of electricity in 2030.

Read that again.

Up to roughly one-sixth of America's electricity could be consumed by data centres.

This isn't a website.

This isn't an app.

This isn't something floating around in cyberspace.

This is an industrial electricity load approaching the scale of an entire national economy.

And the International Energy Agency expects global data-centre electricity consumption to roughly double from about 485 TWh in 2025 to around 950 TWh in 2030. AI-focused data centres are projected to triple their electricity consumption over that period.

The AI revolution has discovered an inconvenient truth:

Algorithms need atoms.

Lots of them.


AND THEN THERE IS THE WATER

Electricity gets most of the attention.

Water doesn't.

It should.

Servers generate enormous amounts of heat. Cooling them can require substantial quantities of water, depending on the technology, climate and facility.

Berkeley Lab's earlier U.S. modelling estimated direct data-centre water consumption could reach approximately 145–275 billion litres annually by 2028 under its low/high scenarios.

And that doesn't tell the whole story.

There is also indirect water consumption associated with generating the electricity that powers the centres.

In other words:

The water footprint doesn't stop at the data-centre fence.

Globally, research cited by Berkeley Lab estimates annual water consumption associated with data centres and AI could reach 4.2–6.6 billion cubic metres by 2027—roughly four to six times Denmark's annual water demand.

At precisely the moment humanity is discovering that freshwater is one of its most strategically important resources, we are building an industry that can require vast quantities of it to manufacture something called the “cloud.”

The irony would be hilarious if it weren't so serious.


THE CARBON BOMB UNDER CONSTRUCTION

Now comes the part that should make every climate pledge from Big Tech uncomfortable.

The Financial Times analysed 60 of the largest U.S. data centres being developed by Amazon, Microsoft, Google and Meta.

If they operate using the current U.S. power mix, the analysis estimates they could collectively generate approximately 101.5 million tonnes of CO₂ every year.

That's equivalent to:

27 coal-fired power plants

or

24 million gasoline-powered cars.

The estimated emissions equal roughly 7% of U.S. power-sector emissions in 2025.

Stop for a second.

Sixty data centres.

Not every data centre in America.

Not every AI facility on Earth.

Just 60 of the biggest planned U.S. projects.

And the potential annual carbon footprint is measured in more than 100 million tonnes.

That isn't a rounding error.

That's an industrial emissions story.


“BUT WE'LL USE RENEWABLES!”

Excellent.

Do it.

Seriously.

Nobody should object to enormous investments in solar, wind, storage, transmission, geothermal and nuclear power.

But here's the problem:

The servers are arriving faster than the clean electricity infrastructure can be built.

The IEA says natural gas currently supplies more than 40% of electricity consumed by U.S. data centres, compared with about 24% renewables, 20% nuclear and 15% coal.

And the IEA expects natural gas to be the largest source of additional U.S. data-centre electricity through 2030, adding more than 130 TWh of annual generation.

Why?

Because gas plants can be built comparatively quickly.

The AI industry doesn't want to wait for the energy system.

It wants the energy system to wait for it.

That's the problem.


THE AI INDUSTRIAL COMPLEX HAS DISCOVERED THE MAGIC WORD: “URGENT”

Everything is urgent when Big Tech wants something.

We need the data centres.

We need the GPUs.

We need the transformers.

We need the transmission lines.

We need the gas turbines.

We need the land.

We need the water.

We need the subsidies.

We need the tax breaks.

We need expedited permitting.

We need government support.

We need it now.

But apparently the climate crisis can wait.

The water crisis can wait.

The grid upgrades can wait.

The communities can wait.

The homeowners facing higher electricity bills can wait.

Everybody can wait except the AI industry.

That's not a sustainable industrial policy.

That's corporate impatience masquerading as technological destiny.


AND PEOPLE ARE STARTING TO SAY: ENOUGH.

This isn't merely environmental activism anymore.

It's becoming mainstream public opinion.

A 2026 Gallup survey found that 71% of Americans oppose constructing AI data centres in their local area, including 48% who strongly oppose them.

Only about a quarter favour them.

And 70% say they worry either a great deal or a fair amount about the environmental impact of AI data centres.

That number should terrify the industry.

Because the AI industry's greatest infrastructure problem may not ultimately be GPUs.

It may be public consent.


HERE'S THE QUESTION NOBODY WANTS TO ASK

If AI corporations are collectively worth trillions of dollars...

If investors expect enormous returns...

If AI is supposedly going to revolutionize everything...

why shouldn't the industry pay the full environmental cost of building its machines?

Why should ordinary households subsidize new substations?

Why should taxpayers subsidize infrastructure?

Why should communities surrender water?

Why should electricity customers absorb higher rates?

Why should society inherit the carbon emissions?

Why should future generations inherit the consequences?

And why, exactly, should the world's most profitable corporations receive a special environmental discount?


PART TWO....Tomorrow....

"WELCOME TO THE AI TAX"

Dear Daily Disaster Diary, September 13 2026

  THE FOREST IS NOT YOUR MINE. THE PEOPLE ARE NOT YOUR LAB RATS. An Adaptation-Guide manifesto for a world that keeps treating Africa as a w...