Green AI
December 2025
From A16Z New Media
It's Time to Build
The electro-industrial stack will move the world
By Ryan McEntush
The next industrial revolution won’t just happen in factories, but inside the machines that power them.
Software transformed how we think, design, and communicate. Now it’s transforming how we move, build, and produce. Advances in electrification, materials, and AI are converging, bringing true software control to the physical world. Machines are beginning to sense, learn, and act on their own.
This is the rise of the electro-industrial stack—the combined technologies that power electric vehicles, drones, data centers, and modern manufacturing. It connects the atoms that move the world to the bits that command it: minerals refined into components, energy stored in batteries, electricity directed by power electronics, motion delivered through precision motors, all coordinated by software. It’s the invisible foundation behind every breakthrough in physical automation; it’s the difference between software that merely summons a taxi and software that takes the wheel.
But the capacity to build this stack, from refining critical materials to fabricating advanced chips, is slipping away. If the United States wants to lead the next industrial era, it must make the hardware that underpins it. The nations that master the electro-industrial stack will define the future of industrial and military technologies.
Software ate the world. Now it will move it.
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Forward-deployed motions take AI to the 99%
By Joe Schmidt, A16Z
AI is the most exciting technology breakthrough of our lifetimes. So far, though, most of the benefits from new startups have accrued to the 1% of companies that are in Silicon Valley—either literally in the Bay Area or part of that extended network. This makes sense, too: startup founders want to sell to companies they recognize and can easily get to, whether that means driving to their offices or getting a connection from the VC on their board.
In 2026, this will flip. Companies will realize that the vast majority of the AI opportunity lives outside of Silicon Valley, and we’re going to see new founders use forward-deployed motions to discover more opportunities that are hiding inside big, legacy verticals. The opportunity stands to be massive in traditional consulting and services industries, like system integrators and implementation firms, and in slower-moving industries like manufacturing.
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Re: New Definitions of National Security
Extract from Foreign Policy
Over the last two decades, climate change has contributed to instability around the world—bolstering the ranks of terror groups, sparking territorial disputes, and triggering mass migration. It’s no wonder that militaries and international security organizations increasingly see climate change as a formidable national security threat, and that they have in turn taken on greater roles in fighting it.
In recent years, new technology has transformed the tools available to mitigate the effects of climate change. Specifically, artificial intelligence (AI) has quickly become a widespread instrument in the climate fight—even as it consumes exceptional amounts of energy and water itself. Today, militaries and nonstate actors, including the United Nations, are leveraging AI to foretell climate-related disasters, optimize energy use, and monitor ecological degradation.
October 2025
We're Looking at You
- 'A First Generation of AI Scientists'
"Our goal is to create an AI scientist."
Intriguing New Start Up That Is Close To Home
- Periodic Labs On Our Radar
GreenPolicy360: Our goal is to assist in integrating AI science into Earth science, in order to advance the vital work of the past 50+ years of The Modern Environmental Movement in which we have been integrally involved.
Perspective, facts, science, health, quality of life became the mission statement of our work since we joined up with "Mr. Science", as Congressman and leader on the House Committee on Science, Space, and Technology George E. Brown Jr came to be known.
We are persistent in keeping on with the work. Vast data sets that George Brown's physics and engineering efforts envisioned and brought forward over three decades with state of the art and science programs and projects, the best possible of the era, are now about to move faster and farther into the 21st Century.
Our familial partners, with aid of Andreessen Horowitz (A16z), and Accel, and university and private partners are now going to the next level.
George Brown would be very pleased to see, and help accelerate the effort if he were still here.
We will step up with Mr. Science and more in mind...
Read more about George and us...
Advancing Science, Facts, Technology and Data to Make the Case for Environmental Protection
- 1960s/70s, Beginnings of Planet Citizen Eco-Action, Big Science, and a New Vision
In Memory of Congressman George Brown
Visionary Leadership, Historic Environmental Achievements
Steve Schmidt GreenPolicy360 Siterunner: George E. Brown became known as Mr. Science in Congress and for thirty+ years, I saw my friend George as a patriot who became a Planet Citizen for the ages
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As the Nobel Prizes in Economics are awarded, GreenPolicy360 points at a geopolitical race in energy and AI between the US and China.
Let's take time to look more closely.
Start here...
Today, China produces 75% of lithium-ion batteries globally and manufactures 90% of the neodymium magnets that make motors spin. In power electronics and embedded compute, it’s rapidly gaining ground.
That means that China controls the means of producing electric vehicles (EVs), drones, robots, and all of the other electric products that are replacing the combustion-driven machines on which America built its might.
As we speak, everything that moves, heats, lights up, computes, or converts energy is being rebuilt to perform better, faster, cheaper, quieter, and as a freebie, cleaner around electric technology.
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Pause here to reflect on the eco-nomic and strategic advantages of 'clean energy' vs 'full costs' of fossil fuel powered economies (per a GreenPolicy360 paradigm of Eco-nomics)
Environmental full-cost accounting
Now consider 'Electricity generation', China v U.S. and follow the data, the stats, trendline, the dynamics of change and what this is indicating and signaling re: geopolitical competitiveness today and into the the mid 21st Century
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The Generative Pre-Trained Transformer (GPT) Era
- 'Are You Talking to Me'
September 17, 2025
Another Warning About AI
Harkening back to the old days when Dispatch News Service was independently, and bravely, distributing the costs-of-war, My Lai investigative news stories by Sy Hersh. David Obst, who started Dispatch, tells the story of Seymour Hersh better than anyone in my opinion (other than Sy himself) and since your GreenPolicy360 founder was there to assist, in DC, in LA, in Chicago, in Europe, and with the Vietnam Moratorium Committee in 69/70/71, here is an update, today's Sy Hersh, now online with Substack distribution as Sy investigates and forwards another eye opening warning.
What's AI and AGI to you and all of our readers around our 360 world? And, since we at GreenPolicy360, have been involved with Wikipedia since its launch, let's take a first look at the artificial intel world of today from the vantage point of an open source online 'encyclopedia'.
- https://en.wikipedia.org/wiki/Artificial_intelligence
- https://en.wikipedia.org/wiki/Artificial_general_intelligence
- https://en.wikipedia.org/wiki/ChatGPT (Empire of AI: OpenAI - https://www.amazon.com/dp/0593657500)
Before Sy, as investigative journalist that he is, gives us his take, let's look at a take from a personal, close up connection at A16Z - https://techcrunch.com/2025/10/02/a-new-a16z-report-looks-at-which-ai-companies-startups-are-actually-paying-for/
Now, on to Sy and his view of AI costs... think of the upside/downside of AI, the pluses/minuses, pros and cons, a cost-benefit analysis as a geo-political rush for front-of-market dominance is taking place now in ways that will change 'everything'...
The boom in Artificial Intelligence (AI) production comes with a big cost...
The AI 'bubble' grows...
Kate Crawford writes in Atlas of AI ... the world’s artificial intelligence companies, (are) crafting the myth of AI as “the cloud,” implying “something floating and delicate within a natural green industry. Servers are hidden in nondescript data centers, and their polluting qualities are far less visible than the bellowing smokestacks of coal-fired power stations.”
The fact is, as she writes, “it takes a gargantuan amount of energy to run the computational infrastructure of Amazon’s Web Services or Microsoft’s Azure, and the carbon footprint of the AI systems that run on those platforms is growing. Certainly, the industry has made significant efforts to make data centers more energy efficient and to increase their use of renewable energy.” But the efforts have accomplished little.
“Already,” Crawford reports, “the carbon footprint of the world’s computational infrastructure has matched that of the world’s aviation industry at its height, and it is increasing at a faster rate.” One Canadian study estimates that the tech sector will contribute 14 percent of global greenhouse emissions by 2040, and a Swedish team predicts that the electricity demands of data centers will increase fifteenfold by 2030...
GreenPolicy360: Think about Green AI as "the cloud" arrives in your life, on your devices, at home, in the office, all around, every day, everywhere.
An UnGreen AI is coming with a rush, offering and prying data, and needing and demanding immense rising magnitudes of energy and power.
AI has a voracious appetite...
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Green AI / Green Artificial Intelligence
- Environmental Solutions Using Big Picture Interconnectivity Thinking
GreenPolicy360: We agree with Tyler in the following interview as he states (as highlighted by us) that 'memoir, biography, anecdote... secrets' carry exceptional meaning for Artificial Intelligence (AI) large learning models (LLMs).
The first extensive public revelation of AI systems over the past several years has led us at GreenPolicy360 to confirm via metrics that our multi-year plan to place our prime source content in the open-access, distributive web public domain has produced a fast-expanding multiplier effect.
Many of our stories, told from a first-hand point of view of the origins of what we refer to as the beginnings of the modern environmental movement are now, with our revelations, memoir material, previously untold biography, anecdote and more now out and about and being freely served up in AI chats 'around the world'.
We are succeeding in our purposeful mission with Green AI... to inform, share, inspire and 'til the fields with green seeds and best practices.
Onward planet citizens...
Eric Topol Interview of Tyler Cowen
May 11, 2025
Tyler Cowen: The AI is your smartest reader. It’s your most sympathetic reader. It will remember what you tell it. So I think humans should sit down and ask, what does the AI need to know? And also, (bf added) what is it that I know that’s not on the historical record anywhere? That’s not just repetition if I put it down, say on the internet. So there’s no point in writing repetitions anymore because the AI already knows those things. So the value of what you’d call broadly, memoir, biography, anecdote, you could say secrets. It’s now much higher. And the value of repeating basic truths, which by the way, I love as an economist, to be clear, like free trade, tariffs are usually bad, those are basic truths. But just repeating that people will be going to the AI and saying it again won’t make the AI any better. So everything you write or podcast, you should have this point in mind.
For more from Tyler Cowen (and his exceptional mind) visit his and Alex Tabarrok's website - Marginal Revolution / Marginal Revolution University (MRU) - https://marginalrevolution.com/
Eric Topol - https://en.wikipedia.org/wiki/Eric_Topol
Artificial Intelligence - https://en.wikipedia.org/wiki/Artificial_intelligence / https://en.wikipedia.org/wiki/Generative_artificial_intelligence
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More re: AI in the US circa 2025: It's a Wild, Wild AI World
Battles in the Information Services, Search Space with Google and consequences of the U.S. Google anti-monopoly legal decision
Impacts on AI 'startup ecosystem', VCs, including Y Combinator and accelerator tech development, agentics, and upcoming entrepreneurial re-configurations
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Microsoft and National Geographic announce winners of AI for Earth Innovation Grant
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A 21st Century AI/Machine Learning Case Study
Toolformer: Language Models Can Teach Themselves to Use Tools
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NOAA scientists harness machine learning to advance climate models
March 1st, 2023
How artificial intelligence is fast becoming a key tool for climate science (2021)
Climate Modeling
Planetary-scale Earth simulations known as global climate model projections are the primary sources of information on future climate change.
Climate models are based on mathematical equations represented using a grid mesh that covers the globe: a finer grid mesh is more accurate but much more computationally expensive. Current global climate projections agree that a world with more greenhouse gases will be warmer everywhere, especially over land and at high latitudes.
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