The Genius Act

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The U.S. Treasury is likely to need to borrow approximately $15 trillion over the next decade. As incredible as that seems, the U.S. Treasury cares about the price of that debt, and therefore, since they are the seller, they need to attract as many buyers as possible to keep the cost of that debt as low as possible. Basic supply and demand at work. Reliable treasury bond buyers are pulling back, primarily China and, to a certain degree, Japan. The Genius Act permits private entities to issue their own stablecoins, provided they are fully backed by U.S. treasuries. That will open up a new set of investors for the U.S. Treasury as it issues its required bonds. On the one hand, it’s an interesting solution because the Treasury can access an expanding market that exists outside the banking system. Expect to see much more international capital flows in US dollars, as well as significantly increased shadow banking among large US-based corporate entities that engage in business with each other and internationally.

The AI Supercycle

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Artificial intelligence is driving technological disruption and economic transformation. It is a unique opportunity and, like PCs, the Internet, mobile, and cloud computing before it, AI is driving a new supercycle. Unlike previous technological revolutions, the current transformation is exponential, creating new industries and markets and impacting existing economic structures, costs, distribution, and employment. While productivity and economic growth are expected to surge, the most significant opportunity arises for capital owners, and therefore, investors. AI will be the most significant economic catalyst of the 21st century, fundamentally altering how we work, innovate, and create value.

Time for Hard Things

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With better models, more effective benchmarks, and a framework for constant improvement, now is the time to focus AI on complex, innovative, and transformational tasks. Essentially, AI and models should focus on hard tech. Hard tech refers to businesses rooted in advanced engineering and scientific innovation, often involving the development of physical products or systems that address complex challenges. Beyond drones, robots, and AI-driven hardware, the following are prominent examples of hard tech opportunities across industries. AI-driven hard tech is creating new business models and industries, such as personalized medicine, autonomous logistics, smart infrastructure, and agentic AI platforms that autonomously manage complex operations, reshaping the competitive landscape and unlocking new avenues for value creation. As a result, businesses and professionals who embrace interdisciplinary skills and continuous learning will thrive in the hard tech ecosystem.

Is AI Any Good?

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So far, we’ve attempted to answer that question through benchmarks. These give models a fixed set of questions to answer and grade them on how many they get right. But just like exams, these benchmarks don’t always reflect deeper abilities. Lately, it seems as if a new AI model is released every week, and each time a company introduces one, it comes with fresh scores showing it surpassing the capabilities of its predecessors. AI research is a hypercompetitive infinite game. An infinite game is open-ended—the goal is to keep playing. However, in AI, a dominant player often produces a significant result, triggering a wave of follow-up papers that chase the same narrow topic. This race-to-publish culture puts enormous pressure on researchers, rewarding speed over depth and short-term wins over long-term insight. If academia chooses to play a finite game, it will lose.

This “finite vs. infinite game” framework also applies to benchmarks. So, do we have a truly comprehensive scoreboard for evaluating the true quality of a model? Not really. Many dimensions—social, emotional, interdisciplinary—still evade assessment. But the wave of new benchmarks hints at a shift. As the field evolves, a bit of skepticism is probably healthy.

What? So What? Now What?: Uncertainty, Transformation, and Upheaval 

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Uncertainty and decisions. This book helps readers better understand a situation (What), determine why it’s important (So What), and decide what to do next (Now What).

The world is uncertain, and all decisions are made in an uncertain environment with unpredictable outcomes. This challenge transcends disciplines, industries, and professions. An increasingly complex modern world shaped by artificial intelligence, geopolitical instability, data overload, and rapidly evolving technology can overwhelm decision-makers who rely on outdated ways of thinking.

Uncertainty is unavoidable. It is not the enemy. It can be navigated with structure and discipline. Critical thinking, multiple perspectives, and decision tools help prioritize, forecast, and adapt decisions, but cannot dictate outcomes. “Decision Intelligence” is vital because it combines data, models, and human judgment, all augmented with new technologies, especially artificial intelligence. Better decisions come from clarity, not certainty. This is the foundation of resilience, agility, and better decision-making during volatile, unpredictable, and transformative environments. It’s not simply a matter of having a formula. Uncertain circumstances are not simple mathematical problems but require systematic and structured thinking. Understanding these structures and the motivations behind the various approaches will be essential. This approach is more of a way to think about thinking.

As Einstein said, “Give me 60 minutes to solve a problem, and I will spend 55 minutes defining it. Then the solution will be obvious.”

This book is about those 55 minutes.

AI is Not Magic

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Artificial intelligence is often imagined in extremes — utopian dreams of salvation or dystopian fears of extinction. More realistically, AI should be viewed as a normal technology. AI will be transformative, like electricity or the internet. Still, it will unfold over decades, shaped by human institutions, policies, and societal adoption patterns, not by sudden leaps into autonomous superintelligence. AI is not miraculous and unpredictable. It is transformative and will impact many lives for many decades. AI will not create extreme utopian or apocalyptic visions. It will be part of a continuum of human technological advances, powerful and transformative but ultimately shaped by human choices, institutions, and values.
Focusing on resilience, gradual adaptation, institutional innovation, and evidence-based governance can help society maximize AI’s benefits while managing its genuine risks. The future of AI will not be determined by the technology alone. We will determine it.

A New Perspective

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The convergence of volatile geopolitics fragmented and unpredictable markets, disruptive technologies, and unique opportunities.

Understanding geopolitical issues, developing innovative and insightful investment strategies, and navigating political and economic volatility are now essential to achieving investment success.

The US, China, and 3-D Chess

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The United States and China play global economic and political chess games. There are many moves and defensive and offensive strategies, not only for trade but also for energy and natural resources (rare earths among the most recent flavors of discord), geopolitics (Russia, Ukraine, Iran, the Middle East generally), technology (Taiwan and AI), and global economic supremacy. It’s a long list, but China and the US drive the outcomes. Instead of working for mutual benefit, regardless of fundamental cultural and political differences, we are now drawing bright lines demarking battle zones (Ukraine and Russia; Taiwan; AI and advanced technologies). The result will be economic and technical inefficiency and degradation in the quality of life, safety, and prosperity. China must acknowledge the outrage caused by its overreaching bids for control, and America must adjust to China’s presence without selling honor for profit. Competition is not us-or-them; reality is us-and-them. The U.S. semiconductor industry gets 30% of its revenue from China. China’s resulting products service the world, and China’s producers need the U.S. as well. If allowed, such examples of mutual benefit will proliferate.
It is naïve to imagine wrestling China back to the past. The project, now, is to contest its moral vision of the future. Connected, collaborative engagement is the only practical way. China has come a long way, and its trajectory cannot be ignored or dismissed. The U.S. and China will be much better off from this more enlightened, realistic perspective. See the whole board.

China, the US, and the “Trap”

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The “Thucydides Trap” occurs when a rising nation-state—for the Greek historian Thucydides, it was Athens—must eventually have a violent confrontation with the existing dominant nation-state—Sparta in his time. It is a zero-sum game where there can be only one dominant nation-state as the eventual winner, and it is usually assumed that the rising nation-state will outdo the dominant nation-state resolved only by military conflict.The United States and China are today’s Sparta and Athens. For several decades, their geopolitical relationship has been fundamentally based on collaboration and healthy competition, raising the bar for both countries. Now, it is turning into discordant competition, trade restrictions, and embargoes. The combined benefits of global collaboration and competitiveness, not trade restraint, will only enhance the benefits for the United States and China. The government creates friction and potential conflict, which is the biggest reason we fall into the Thucydides Trap. If appropriate, oversight, sensible regulation, and enforceable trade agreements do not interfere with fair competition and collaboration. There is no “Trap” to avoid. The sooner China and the US realize this, the better off each country (and the world) will be.

China’s Emerging AI

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Significant VC activity and AI development opportunities are emerging in China. DeepSeek is the Vanguard of innovation from the artificial intelligence “moonshot” encouraged by the Chinese government. Not only will we see ongoing developments from Alibaba and Tencent, but there will also be a layer of elite AI companies at the forefront of China’s AI sector. US sanctions and restrictions have only increased innovation and groundbreaking AI development activity in China. Those sanctions will amount to nothing and encourage accelerated advancement.