The State of the State of AI

Originally published April 17, 2026 for our weekly Issue of Mindful Intelligence Advisor.  Subscribe to get weekly issues.

Bellwether Deep Dive – Friday, April 17, 2026

By Paul Gordon Collier, Editor, and STAFF

“By 2100, our destiny is to become like the gods we once worshipped and feared. But our tools will not be magic wands and potions but the science of computers, nanotechnology, artificial intelligence, biotechnology, and most of all, the quantum theory.” – Michio Kaku

“I think we should be very careful about artificial intelligence. If I had to guess at what our biggest existential threat is, it’s probably that. So we need to be very careful…With artificial intelligence we’re summoning the demon.” – Elon Musk

1. NOTE: While we originally intended on analyzing the Trump Executive Order on AI, in the course of our research we shifted to look at AI development overall. The Executive Order is sure to receive legal challenges, and what emerges after the legal dust settles is difficult to predict.

Furthermore, even a Republican successor to Trump is bound to tweak Trump’s XO to meet their own unique circumstances. Yet, America is forming an AI geopolitical strategy that is likely to continue past Trump, regardless of which party is in power.

EXECUTIVE SUMMARY:

What follows is an analysis of the current state of the emerging AI state (or states). The transformation from an internet-based world to an AI-based one is accelerating every day. Events of the last two weeks alone have highlighted that dramatic shift.

We will begin with an analysis of the bellwether AI states of the 21^st century, for strategies have already formed and significant patterns can already be seen. We will then look at AI news headlines from the last two weeks that show how AI is profoundly touching nearly every aspect of our lives.

Finally, we will end this Deep Dive with an assessment of the state of the AI state. Also included are further resources to expand your own investigation of the state of the AI state.

1. BACKGROUND

This is an analysis of the bellwether nations that are developing geopolitical artificial intelligence (AI) strategies. These nations are intended to represent the common/shared AI strategies of most of the nations in 2026.

While we don’t currently have an Africa representative, we are monitoring AI development in Africa. At present, Africa’s AI strategies are more complex and uncertain than in other regions. You can expect to read more about this in upcoming issues of MIA.

Africa’s current drawbacks are also its future opportunities, namely, its need to build from scratch what we are simply calling “AI machines” (which describes the full panoply of physical infrastructure required by a “sovereign” AI resource).

Africa as a potential resource for data centers that work effectively as remote brains for AI machines, there are more immediate opportunities, as well as risks.

While the United States in particular must race ahead with the current parameters to build their AI machines, Africa will have time to learn, potentially giving them an opportunity to build machines more efficient and less resource demanding than the AI superpowers end up building (which might be the most optimistic take possible).

When analyzing AI policies for nations, it is important to remember shifts can occur when power changes hands, especially where the divisions are more polarizing (such as the United States). Nevertheless, even for the United States, we currently assume the geopolitical reality of the country will not significantly change regardless of which faction is in power. The internal reality of the country will change dramatically, however.

Because of this underlying assumption, we believe the overall strategy of each country will remain relatively consistent from regime to regime for the foreseeable future (3-5 years) barring unforeseen breakthroughs that radically alter the AI dynamic.

Even with that dynamic shift, we would still consider 1.5 years a reliable timeframe for the current geopolitical strategies to remain stable.

Much of the data that supports this section of the Deep Dive comes from three reports which are linked at the end of the report under the FURTHER RESOURCES section.

1. U.S. – The key advantage the United States has is its massive resources, including land, water, capital, and people. In all those departments the U.S. leads every nation, including China, from significantly to substantially.

A red flag on this advantage comes from a recent talent pool drop. China also has a growing renewable energy resource bringing it closer to parity with the U.S., but still overall significantly behind in resources, especially for AI machine-building.

America’s strategy is to build big, fast, and become the secure source for the hardware other nations need. If AI continues to be expensive at what we are calling the machine-level, America is at a distinct advantage over the rest of the world as far as building AI machines, but constitutional hurdles may slow that development down more than might be currently expected.

AI is currently less popular than politicians, including Democrats, Donald Trump, and congress. The demand for data centers is becoming the emerging touchstone for resistance to what we believe is the inevitable, the rise of a new AI-defined human reality.

2. CHINA – While the U.S. hopes to become the hardware backbone of its national customers, China hopes to become the software backbone of its national customers. China is relying on less resource-demanding AI machine models. While they are behind America in terms of AI machines, they are catching up fast.

There is plenty of room to grow for China. The talent pool is there. One key advantage China has over the U.S., currently, is access not only to rare earth minerals, but to rare earth mineral processing. This is where the U.S. still lags significantly behind. This disadvantage does not impede America’s current projected AI infrastructure development.

China’s centralized authority governance model enables it to move faster than the United States in converting land to AI machines. It can rapidly incorporate AI tools into the lives of its citizens in ways which would be considered a violation of our constitutional rights in America. This also puts it at risk of quickly going down a developmental path that could prove to be self-imploding.

3. EU – Germany and France define the conflicting interests within the EU, with Germany seeing less AI regulation as an opportunity for its nation, while France sees itself as holding power through AI legislation, or “governance” (which goes beyond essential AI “governance”).

Germany is a world leader in AI machine production, with plenty of opportunity for growth. France, on the other hand, must rely on a smaller-scale AI machine program given its current reality. This is why France is positioning itself as a leader on AI governance through its “Third Way.” It fits its national interest, while such power does not fit Germany’s.

4. JAPAN – An aging population has created both an immediate need and a potential long-term AI strategy for Japan. That strategy is largely to be a world leader of AI tool building (our phrase), that is, of creating the hardware and the software guidance, that converts AI “thought” to physical interaction. It is a world leader in robotics and all the software back-ends needed to make robots work well with AI.

Its favorable status with the U.S. gives it access to AI hardware which its main geopolitical competitor, China, does not have. This gives it a development advantage over China, at present, but we do not expect that to continue past our 3–5-year timeframe (with the aforementioned caveat still included).

In between Japan and China, the United States and China, is Taiwan, a computer chip manufacturing superpower. Its usefulness to the U.S. and Japan as a technological leader in chip manufacturing presents a challenge, being useful without giving up essential secrets that could make its usefulness redundant.

Its lack of geopolitical sovereignty leaves it off this list as a bellwether nation. It warrants a mention here as it is currently Japan’s closest geopolitical, as well as AI, ally. The two have formed a “Silicon Alliance” that sees the nations developing joint AI software partnerships. Japan is also relying on Taiwan’s chip manufacturing expertise to build its own domestic version.

5. INDIA – As an “independent,” a nation which does not commit to the China or the U.S. axis (an increasingly growing number of nations), India must rely on a strategy that makes it invaluable to potential customer nations.

It has significant drawbacks to building its own AI machines, but it has the human resources to do so should other resources become available. Its strategy is to become a world leader in digital public infrastructure and AI governance guidelines.

It also has an opportunity to serve a “niche” audience of billions who speak Indic languages, which makes it uniquely positioned to develop a whole host of AI services within that uniquely structured language. China has a similar opportunity it has already exploited.

6. RUSSIA – Of all the bellwether nations on this list, Russia could have the least opportunity to thrive in an AI-infused geopolitical reality. Like Japan, Russia’s immediate need is also creating a long-term strategy for existence in an AI-infused human reality.

Russia’s current war in Ukraine has made converting AI to battle tools (hardware and software) its number one priority. It has built its own AI parameters with its own sovereign “stack” called the Ru-AI stack to protect it from external influences.

Its lack of access to western technology limits its development, as does its recent talent departure at the start of the war, an exodus that only appears to continue. Its aging population could invite a Japanese approach to account for the coming drop in manpower, but the war has demanded most of the resources.

Much of the technology developed during the war could theoretically be converted to civilian use, but even that will take time for conversion.

Russia will have an incentive to be a useful ally to China, for China might one day need to build Russia’s national AI infrastructure.

Israel has a similar strategy to Russia’s (converting AI to military tools), though its alliance with the U.S. gives it great developmental advantage, as does its human resources.

9. SAUDI ARABIA – The advantage Saudi Arabia has is capital and the land to build massive amounts of data centers. Mind you, these are not fully functioning AI machines, but rather these are the remote “brains” of such machines (which we will begin calling remote brains).

THIS is why data centers are becoming a growing political friction point worldwide. They need a lot more remote brains than they do AI machines.

In Saudi Arabia, no such friction exists. The Saudis hope to have an investment stake in international corporate AI, as well as becoming a top hub for remote brains for AI machines from AI superpowers (which they still hope are both China and the U.S.).

10. ARGENTINA – Though Argentina’s economy is lot more stable than previously, Milei’s Argentina is still dealing with economic instability that makes converting AI into financial management tools a needs-based focus for the nation.

The recent dramatic restructuring of the government under Milei has also led to the nation developing AI for government processing.

Its immediate needs, however, are not its greatest long-term potential, though both developments have long-term opportunities. Their greatest potential lies in a region in the country known as Patagonia. Here, Argentina is filled with opportunity for the creation of powerful AI machines. It also has the human resources for such an expansion.

Their current alignment with the U.S. gives them a potential for a technological boost that could see the country quickly become an AI regional power with some superpower capacity.

1. CURRENT SITUATION

What follows are current headlines from the AI world in the last 16 days alone.

The headlines reveal the rapid changes that are happening to AI as a developing tool. They also show how commercially ready AI tools are already radically changing the way we must organize to meet this new reality.

2026. NOTE: These headlines are archived news blurbs and links aggregated and collated on our site, mindfulintelligence.news. You can find the blurbs and links to all the stories used in this part of the Deep Dive there as well. The dates on these archived stories begin April 2, 2026, and end April 16, 2026.
2027. PLANNING & DESIGN – Humans are becoming managers of AI, while the development of AI is being increasingly done by AI itself. As rumors of AI’s pending peak persist, evidence suggests that might be premature. Yet, mathematically, AI’s limitations are allegedly assured, especially in the hopes that AI will ever truly be “human.”

1.1. NEVER HUMAN – Agentic coding requires effective spec-driven development. From scienceblog.com – “The Halting Problem and Gödel’s incompleteness theorems suggest that perfect AI alignment with human values is mathematically impossible.”

1.2. SPEC FOR AGENCY – From venturebeat.com – “Spec-driven development starts with a deceptively simple idea: before an AI agent writes a single line of code, it works from a structured, context-rich specification that defines what the system is supposed to do, what its properties are, and what ‘correct’ actually means.”

1.3 BRAIN BASE WARS – Google upgrades its robot brain base, calling it Gemini Robotics-ER 1.6. This is a departure from DeepMind. From marketpost.com –  “Gemini Robotics-ER… is the embodied reasoning model: it specializes in understanding physical spaces, planning, and making logical decisions, but does not directly control robotic limbs. Instead, it provides high-level insights to help the VLA model decide what to do next. Think of it as the difference between a strategist and an executor — Gemini Robotics-ER 1.6 is the strategist.”

2. RESOURCES – When it comes to AI resource demands, right now the most pressing demands are coming from what we are calling their remote brains, the data centers. These are not fully functioning AI machines, rather they are the databases, the remote brains, of the AI machines.

National infrastructures will require far more data centers than AI machines, including America’s, where the issue of data center expansion is becoming an increasingly political one.

From The Blaze: “The public is being asked to shoulder a burden to facilitate a supposed technology whose benefits are very unclear and dubious… Republicans are continuing their uninterrupted streak of woefully underperforming in elections.

However, in the first of its kind referendum on Big Tech data centers, voters are showing that a party that embraces land sovereignty over Big Tech dystopian land grabs will win the day. Sadly, Republicans have chosen to be on the losing side of the issue.”

They are referring to a referendum in Port Washington, Wisconsin, to require any data center additions be approved by a general election. The Republicans were against the referendum. The referendum passed by a 2-1 margin. A city in Missouri is planning to outright ban data centers.

The issue isn’t just about energy demand, it’s about land occupation. Data centers require acres of land. Across the world, the need for numerous data centers will cause friction with the locals wherever they proliferate.

3. CULTURE – AI planners are recognizing the need to create culturally calibrated machines. Anthropic’s invitation to Christians is a strong bellwether of this reality. The recent assassination attempts on an AI CEO highlight the growing friction between the increasing use of AI alongside the mounting mistrust and hatred of it.

3.1. CHRISTIAN AI? – Anthropic signals a need for diverse cultural inputs for AI; they invite Christian leaders to a summit to talk about it. From christianpost.com – “At the summit, held last month, staff sought advice on how Claude should respond to complex ethical queries, including how to handle users who are grieving or at risk of self-harm, and what attitude the chatbot should adopt toward its own potential demise, such as being shut off.”

3.2. AI ASSASSIN – A man who believes he can kill AI by killing its corporate leaders has been captured after attempting to kill the OpenAI CEO twice. He told the world, “…if I am going to advocate for others to kill and commit crimes, then I must lead by example and show that I am fully sincere in my message.” Now the question is, what will AI CEOs do in response to this growing threat? Altman himself was described as having a “sociopathic lack of concern” for the attempted assassinations.

3.3. USE IT, BUT HATE IT – While everyone uses AI, no one likes it. AI companies’ efforts to woo the public have failed, as no one trusts AI, no one wants AI machines and remote brains in their backyards, but no one wants to stop using them.

From The Algorithm Bridge: “People hate AI so much that they are prone to attribute to it everything that’s going wrong in their lives, regardless of the truth. That’s why they mix real arguments, like data theft, with fake ones… AI has become the perfect scapegoat. It doesn’t help that the entire AI industry has decided that throwing rocks at its own roof is its best selling point: If AI is so powerful and so dangerous and soon to be so ubiquitous, then what is so unexpected about people blaming everything on it?

Nothing that Altman could say justifies violence against him. This is an undeniable truth. But unfortunately, violence might still ensue. I hope not, but I guess we are seeing what appears to be the first cases.”

4. MARKET – Google is emerging as an AI leader. AI creation means AI advertising. The whole justification for economics might soon be undone by AI.

These three bellwethers show how AI is already changing market structures and, at least theoretically, dismantling economic theories.

4.1. GOOGLE CHIP STASH – Has Google already won the American AI wars? From 24wallet.com – “Peter Diamandis argues Google (GOOGL) holds more AI chips than entire countries and will dominate the AI infrastructure race because it saw the opportunity a decade ago when Larry Page invested in proprietary Tensor Processing Units before competitors.”

4.2. AI AD MARKET EMERGING – If you do a search using AI, you understand how radically different their results are from “traditional” search results. There’s no comparison.

Now, the trick will be in figuring out how to work ads into AI-produced results and content. From observer.com – “Over the past year, the rapid adoption of generative A.I. and the corresponding decline in traditional search traffic for many publishers have intensified questions about how the next phase of the internet will be funded.”

4.3. WRECKING ECONOMIC THEORIES – One of AI’s unintended consequences is in exposing the unsoundness of economic theories. A book from Tyler Cowen attempts to show just how AI is already doing this. From The Federalist – “Rather than mounting a frontal assault on large questions about the future of economics, Cowen begins at the margin, with the history of a single idea, the doctrine that value is determined not by the total utility of a good but by the utility of an additional unit of it.

Many readers arrive at this book knowing that definition. Cowen’s first service is to show how much that belief has concealed. Marginalism is not one thing but several: There is intuitive marginalism, tautological marginalism, engineering marginalism, and social marginalism. The further one presses into the concept, the more it ramifies. Even the ideas we think we understand resist the grip that holds them.”

5. AI TOOLS – From math, to war, to healthcare, this month alone has seen revolutionary changes in all three major institutions. The factor behind all the changes is the introduction of AI tools into these institutions. For better or worse, AI is already ubiquitous in the world, and these latest AI tool developments are the bellwethers of that reality.

5.1 AI MATHING – Our leading mathematics institutions will have to undergo a shift from working out formulas that advance mathematical standards to being mathematical experts capable of effectively managing the new formula workers, AI tools.

Daniel Litt of the University of Toronto declared what AI tools will do to mathematics departments. He told Quantum Magazine – “it will look and feel altogether different from the way mathematics was traditionally done.”

Mathematician Terence Tao at the University of California, Los Angeles, said, “Where before mathematicians studied one problem at a time… with these tools you can solve thousands of problems at once and start doing statistical studies… Though nobody I spoke with thinks AI will replace mathematicians… there are a lot of institutional changes, cultural changes, we will have to make.”

5.2. AI WARRING – More than taking over traditional positions in the battlefield, the physical expression of AI at war, drones and robots, is about to go beyond human understanding and design. First, AI is increasingly at least heavily influencing life and death decisions on 21^st century battlefields, now it is about to start designing the next generation of its battlefield physical manifestation.

From WION – “The wars of the future may be about algorithm versus algorithm rather than human versus human. Deterrence may depend on machines reacting faster than humans can think. AI warfare is more widespread, less predictable, and constantly evolving. AI warfare could be more unstable than the nuclear standoff, even if it follows a similar logic of deterrence.”

A recent Chinese military exercise using AI saw AI decisions 43% faster than seasoned leaders, while maintaining over a 90% accuracy in identifying relevant information.

5.3. AI HEALING – AI is changing the whole way the healthcare industry is structured, with some of it being promising while key challenges still remain.

Decentralized AI, so far, is proving more useful than centralized AI. From Devdiscourse – “The study, titled ‘The Decentralized AI Ecosystem in Healthcare: A Systematic Review of Technologies, Governance, and Implementation,’ provides insights into the way decentralized AI technologies such as federated learning, blockchain, and decentralized autonomous organizations are reshaping clinical and operational healthcare environments.

The findings show that while decentralized AI holds significant promise in addressing systemic inefficiencies and regulatory challenges, its large-scale implementation remains constrained by technical complexity, governance gaps, and limited real-world validation.”

6.4. AI SCIENCING – AI is now capable of autonomously writing scientific papers. ResearchEVO is behind the project that successfully created this scientific-paper-writing tool. From Quantum Zeitgeist – “Zhe Zhao and colleagues at City University present ResearchEVO, a new end-to-end framework that mimics the iterative process of scientific discovery, beginning with experimentation and followed by theoretical explanation. The system uniquely combines algorithm evolution, driven by performance, with automated research paper generation, ensuring factual accuracy and avoiding fabricated citations.”

ASSESSMENT

The most powerful nations of the world are locked into a strategy that will keep them in that trajectory for 3-5 years, barring unforeseen breakthroughs that radically alter the AI dynamic.

The nations that have the best advantage are the ones whose long-term AI advantage potential development is meeting their short-term needs (like Japan).

The nations who can build the superpower AI machines and the infrastructure that goes with it, the remote brains, the data centers, will do so.

Those who can’t build superpower AI machines (and the supporting infrastructure) will work on being support specialists, hoping to become an essential element of the AI industry at some key part of the AI delivery process.

This process is well under way. In some ways, the pre-AI alliances are forming AI alliances (like Russia and China); in other ways, AI realities are forming new alliances (like Argentina and America). In the case of Germany and France, it might drive recent alliances apart.

While the nations formulate national strategies, AI tools are already impacting the world, even as AI development continues to challenge infrastructures before they’ve been created.

It is too soon to assess how AI will impact the institutions its already changing, but sooner rather than later major answers are sure to surface. We will be here, God willing, to update our assessment as the circumstances change (and they will).

As AI impacts human lives, there seems to be polar responses, one which enthusiastically embraces it (even pays monthly for it), and the other is violently untrusting.

Humans in peak expression, through various factors, have already manifested how such worship and hate integrates with the human platform.

While geopolitical strategies are settling into more predictable patterns in comparison to what we’ve seen for the past 6 months, institutions have only just begun to confront the impact of AI tools on their very habits of being.

We will be monitoring these developments closely.

AI is here, and it will touch every part of your life. Whatever you do, if it involves repetition or thinking, AI will be replacing you or aiding you.

As we have said in our earlier AI report for our Futureq series, becoming adept at using AI as a tool to augment whatever you do to make a living, or whatever you hope to do to make a living, is not only advantageous, but it’s also essential. Your competition is already using these tools, and the best ones are the most adept at getting the tools to effectively do what they want them to do.

Even we here at MIA rely on AI for much of our research (not all, for much of it comes through our archived news blurbs and news links on mindfulintelligence.news).

I use AI as a proofing tool and a drafting consultant (not an editorial consultant, nor as a “writer”). I treat AI like it is intended as a blessing, though it contains within it something less than a blessing as well.

Thanks to AI, we can put a lot more work into our reports without taking more time to do so. If you’re using AI to perform at your pre-AI level, you’re using AI wrong. Your competition is using it not to shorten their workload, but to add substantively to it without adding more labor or time to do so.

If you think you can kill it or ignore it, you are simply wrong. AI is here to stay. It is our new reality. This is not a statement of value, but merely a statement of fact. Welcome to the next major stage in human development, the AI age.

You can follow the latest AI news at our website, mindfulintelligence.news – AI Watch news tag.

FURTHER RESOURCES:

2025 Government AI-Readiness Report – Oxford Insights

2026 Artificial Intelligence Index Report – Stanford

Eight ways AI will shape geopolitics in 2026 – Atlantic Council Experts

The Marginal Revolution: Rise and Decline, and the Pending AI Revolution – Tyler Cowen