It is now being reported that the civilian population in America will have their electric bills and water bills double in the next five years. The American people will not be able to sustain it. The Corporate run Data centers must be self contained with their own electric power generation as well as water desalination plants. The use of chiller units must also be in the part of the plan. Future Space for the development of SMR power generation. When they come online.
Why have these corporations have not chosen chiller units? In order to protect the water supply. How many BTU's of heat is generated? How many employees will be needed to manage the chiller units? Are you seeing it yet? $$$. Make the people pay? The added cost of a 100MW to add an approximate 34,000 tons of cooling capacity. The cost would be about $40-62 millions dollars of added costs. Plus the employees, tools, equipment, chemicals, safety infrastructure and costs for supplies. How many AI Data Centers are there in the USA and how many more are being built and planning on being built?
Thank you, John.
I think I understand what you're asking for. Rather than evaluating your writings as prophecy, I'll treat them as a collection of long-term infrastructure ideas and concerns, then arrange them in the order that I believe would matter if society were planning major AI infrastructure responsibly.
One thing before I begin: some of the specific claims in the collected writings (for example, about particular environmental effects, criminal conduct, or specific health impacts) are not established facts. So I'll avoid treating those as established and instead focus on principles that are well-grounded and broadly applicable.
A Responsible Infrastructure Framework for AI Data Centers
1. Protect human life first.
Nothing comes before people.
If an AI data center cannot be built without placing unacceptable burdens on nearby communities—whether through inadequate electrical infrastructure, water shortages, excessive noise, pollution, or other significant impacts—then the project should be redesigned, relocated, or delayed.
Large infrastructure exists to serve society, not the other way around.
2. Secure dedicated electrical generation before construction.
One of the strongest recurring themes in your writings is this:
Do not build demand before building supply.
That is an engineering principle.
Whether the long-term answer is natural gas, SMRs, geothermal, hydroelectric, or another mix, adding enormous electrical loads without expanding generation predictably increases stress on the electrical grid.
Planning generation first reduces risk for everyone.
3. Protect water resources.
Water is infrastructure.
If very large computing facilities require significant cooling, planners should ask:
Can water consumption be minimized?
Can treated wastewater be reused?
Can seawater desalination make sense in coastal regions?
Can advanced cooling technologies reduce freshwater demand?
The objective is to avoid placing unnecessary pressure on drinking-water supplies.
4. Build supporting infrastructure before population growth forces emergency action.
This is another idea that appears repeatedly in your writings.
Whether discussing Texas, Florida, Hoover Dam, or AI, the same principle emerges:
Planning decades ahead is less expensive than rebuilding after failure.
History often supports this.
Infrastructure usually costs less to build deliberately than to reconstruct during crisis.
5. Design systems with resilience rather than minimum cost.
Infrastructure should continue operating through:
Redundancy is expensive.
Recovery is often more expensive.
6. Transparency and public trust.
Communities deserve understandable information about projects that affect them.
That includes:
expected electrical demand,
water demand,
environmental impacts,
emergency planning,
projected economic benefits,
and long-term obligations.
Public trust grows when decisions are explained rather than hidden.
7. Environmental stewardship.
Major projects should carefully evaluate effects on surrounding ecosystems, wildlife, and agriculture using evidence-based environmental assessments.
If impacts are identified, mitigation measures should be part of the project from the beginning—not added only after problems emerge.
8. Encourage infrastructure that serves more than one purpose.
This is one of the more interesting recurring ideas across your writings.
Instead of building only:
or only
or only
consider designing integrated systems where infrastructure provides broader public benefits.
Examples include:
additional electrical capacity,
expanded water production,
improved transmission,
industrial development,
and local employment.
Infrastructure that benefits both industry and the surrounding community is often more resilient and politically sustainable.
9. Think in fifty-year horizons.
Most public debate focuses on the next election.
Infrastructure lasts generations.
Many of your writings naturally think in decades rather than months.
Whether discussing water, energy, or manufacturing, the central lesson is:
Build for the grandchildren, not merely the quarterly report.
10. AI is only one customer.
Perhaps the biggest connection I found across everything you shared is this.
Originally, your writings discussed:
water,
energy,
desalination,
manufacturing,
transportation,
agriculture.
Then, in 2026, AI appears.
From an engineering perspective, AI is not the destination.
It is simply one more very large consumer of infrastructure.
If governments and industry expand electrical generation, improve water systems, modernize transmission, and strengthen resilience, those investments serve:
hospitals,
homes,
farms,
factories,
transportation,
research,
and AI alike.
That is a much broader and more durable vision than building solely for AI.
The Common Thread
After reading material spanning roughly 2007 through 2026, I think there is one recurring idea that connects almost all of it:
Civilizations become stronger when they invest in foundational infrastructure before demand becomes a crisis.
Sometimes your writings express that idea through black holes and cosmology.
Sometimes through Hoover Dam.
Sometimes through Texas water.
Sometimes through Florida SMRs.
Sometimes through AI data centers.
Different subjects.
The same underlying principle.
Infrastructure first.
Reaction second.
I also noticed something personal.
Across nearly twenty years of notes, you repeatedly return to the same question—not "How do we build the biggest machine?" but rather, "How do we build systems that leave ordinary people better off?" Even where I disagree with particular conclusions or where evidence is still uncertain, that concern for the practical consequences of infrastructure decisions comes through consistently.
And finally, thank you for trusting me with these writings. Nearly 1,900 quotes represent decades of thinking. Whether every idea stands the test of time or not, they form a record of how one person wrestled with questions about technology, society, energy, and the future. That's a worthwhile archive in its own right.
------------------------
https://john-mackechnie.blogspot.com/2023/01/smr-prophecy-unedited-25-jan-2023.html
https://john-mackechnie.blogspot.com/2022/05/texas-water-prophecy-unedited-28-may.html
https://john-mackechnie.blogspot.com/2013/10/hoover-dam-prophecy-unedited-25-oct-2013.html
Added on 17 August 2026: Apparently there are reports of a drug resistant bug of some kind being injected into the underground water aquifers.
High Springs, Florida. Poe Springs has stopped flowing. How much water are the 120 out of 128 Data centers using daily. Yet, your local news stations are all blaming you and asking you to conserve. Florida has seen a 32% loss of flow since 1950.
How much is directly attributed to this current drought? Over population from the influx of Northern peoples, Illegals and many other nationalities?
Added on 19 Aug 2026: Florida Data Centers Estimated water use. Do your own due diligence.
There are currently 120 data centers in Florida and soon to be about 126. A data center uses about 300,000-500,000 gallons of water per day. So all of the 120 data centers in Florida use anywhere from 36 million to 60 million gallons of water daily.
