The signal beneath
Artificial Intelligence

From lithium to rare earths, the race for critical minerals is reshaping geopolitics, economics, and the future of technology

A strategic assessment of which nations control the minerals that will define the next industrial era

How the world's largest island became the most strategically significant territory of the 2020s

How political conflict threatens the supply chains that sustain modern civilization

How AI systems that see, hear, read, and reason together are reshaping what machines can understand

How nations can retrain a billion workers for the intelligence economy

When the parties to the most comprehensive regional agreement in the world settle disputes outside it, the lesson observed elsewhere is not about tariffs. It is about how much a treaty commitment is worth.

National output figures make the Canada United States dispute look manageable. Disaggregated, it is a concentrated shock to a specific list of communities, most of which have no alternative buyer within reach.

Tariffs between the two most integrated economies in the world do not behave like tariffs between strangers. A component that crosses the border four times is taxed four times. This is what that arithmetic does, and what a workable settlement would contain.

Bubble is a verdict, not an analysis. Five conditions separate a capital expenditure supercycle from a credit bubble, and the current build out passes some of them clearly and fails others.

The companies renting out graphics processors sit between the chip vendors and the model laboratories, carrying the debt for both. Their balance sheets are where the artificial intelligence build out is actually financed.

The battle for critical minerals is accelerating—and constraining—technological progress

The clean energy transition requires extraction that can devastate ecosystems—a contradiction that demands resolution

What wise governance of Earth's critical minerals would actually look like—and why it remains so elusive

How machine learning is optimizing agriculture to feed 10 billion people

From lithium to rare earths, the race for critical minerals is reshaping geopolitics, economics, and the future of technology

A strategic assessment of which nations control the minerals that will define the next industrial era

How the world's largest island became the most strategically significant territory of the 2020s

How political conflict threatens the supply chains that sustain modern civilization

How AI systems that see, hear, read, and reason together are reshaping what machines can understand

How nations can retrain a billion workers for the intelligence economy

When the parties to the most comprehensive regional agreement in the world settle disputes outside it, the lesson observed elsewhere is not about tariffs. It is about how much a treaty commitment is worth.

National output figures make the Canada United States dispute look manageable. Disaggregated, it is a concentrated shock to a specific list of communities, most of which have no alternative buyer within reach.

Tariffs between the two most integrated economies in the world do not behave like tariffs between strangers. A component that crosses the border four times is taxed four times. This is what that arithmetic does, and what a workable settlement would contain.

Bubble is a verdict, not an analysis. Five conditions separate a capital expenditure supercycle from a credit bubble, and the current build out passes some of them clearly and fails others.

The companies renting out graphics processors sit between the chip vendors and the model laboratories, carrying the debt for both. Their balance sheets are where the artificial intelligence build out is actually financed.

The battle for critical minerals is accelerating—and constraining—technological progress

The clean energy transition requires extraction that can devastate ecosystems—a contradiction that demands resolution

What wise governance of Earth's critical minerals would actually look like—and why it remains so elusive

How machine learning is optimizing agriculture to feed 10 billion people

From lithium to rare earths, the race for critical minerals is reshaping geopolitics, economics, and the future of technology

A strategic assessment of which nations control the minerals that will define the next industrial era

How the world's largest island became the most strategically significant territory of the 2020s

How political conflict threatens the supply chains that sustain modern civilization

How AI systems that see, hear, read, and reason together are reshaping what machines can understand

How nations can retrain a billion workers for the intelligence economy

When the parties to the most comprehensive regional agreement in the world settle disputes outside it, the lesson observed elsewhere is not about tariffs. It is about how much a treaty commitment is worth.

National output figures make the Canada United States dispute look manageable. Disaggregated, it is a concentrated shock to a specific list of communities, most of which have no alternative buyer within reach.

Tariffs between the two most integrated economies in the world do not behave like tariffs between strangers. A component that crosses the border four times is taxed four times. This is what that arithmetic does, and what a workable settlement would contain.

Bubble is a verdict, not an analysis. Five conditions separate a capital expenditure supercycle from a credit bubble, and the current build out passes some of them clearly and fails others.

The companies renting out graphics processors sit between the chip vendors and the model laboratories, carrying the debt for both. Their balance sheets are where the artificial intelligence build out is actually financed.

The battle for critical minerals is accelerating—and constraining—technological progress

The clean energy transition requires extraction that can devastate ecosystems—a contradiction that demands resolution

What wise governance of Earth's critical minerals would actually look like—and why it remains so elusive

How machine learning is optimizing agriculture to feed 10 billion people