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.
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.
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geopolitical instability, data overload, and rapidly evolving technology can overwhelm decision-makers who rely on outdated ways of thinking.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.”
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.
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 announcement of a $500 billion commitment to building AI infrastructure in the United States, is another major salvo in the AI wars. At this point, it’s hard to distinguish whether this is just hyperbole from hyperventilating technology executives or something with real substance.But, more importantly, it indicates an agenda to “win” in artificial intelligence. OpenAI, Softbank, and others are pushing the narrative to “beat China” and align themselves with the Trump administration. Fundamental is a belief that such a race exists, the US can gain advantage by dedicating computer resources, and it’s worth winning at all costs – whatever that means.Unfortunately, computer resources don’t define a sustainable advantage anymore. A decoupling of resources and cooperation between the United States and China have forced the Chinese to develop near-equivalent models while using only a fraction of resources. bigger data centers, substantial computing resources, and overwhelming numbers of GPU production won’t win this arms race. It’s A Zero-Sum Game That Amounts to Nothing.
Apple can disrupt global finance. Visa and MasterCard are now vulnerable. Previously, it was believed that the capital required for infrastructure, systems, and processing was an insurmountable obstacle to any new competitor. But things have changed. Innovation and disruption in the credit card business pose a threat to established players like Visa and MasterCard. Apple can leverage its ecosystem, user experience focus, brand trust, strategic partnerships, and innovative use of data to succeed in the credit card business. Over time, as it scales and innovates, it could challenge Visa and MasterCard’s market dominance.
Global technological transformation and disruptive technologies create extraordinary opportunities – and magnified risks. Headline-grabbing hyperbole dominates each news cycle, and some forecasts and bewildering futuristic projections can mostly be dismissed. However, meaningful substance and catalytic disruptive change are permeating all industries.
A context to understand these developments – a broader, methodical, and disciplined way to think about disruption and transformation- shows that extraordinary opportunities on a highly competitive global scale are emerging.
Artificial intelligence and AI-generated tools, digital assets, blockchain-based businesses, gene editing, and DNA sequencing profoundly impact the world’s most important industries. New technological innovations and platforms enable unprecedented disruption to all business and economic models.
Chairman Xi faces more significant problems than just a declining stock market. Future prosperity, innovation, and China’s global position in advanced technologies are at stake. Bureaucratic regulation and central government money are not the answer, and an uncomfortable truth for communist bureaucrats is that a free market, access to venture capital and private equity, and vibrant public markets are essential for China’s success. A volatile market is still best at attributing value and allocating capital over time. China’s entrepreneurs have brilliance, incomparable fortitude, and a strong work ethic, but without capital and liquidity for that capital, the ship will run aground.
Permanent capital is essential for the growth of an economy, innovation, and prosperity. Liquidity is essential for that capital.
Artificial intelligence is poised to significantly impact various fields and activities, transforming how we approach creativity, professional activities, science, and many more domains. Disruption will accelerate the development of new innovative businesses and strategies in finance, medicine, data management, systems engineering, materials science, art, and other industries. AI’s impact will be profound and multifaceted, driving innovation and efficiency and posing challenges regarding ethics, job displacement, and new skills and regulations. As AI continues to evolve, its integration into these areas will likely shape the future of human society in significant ways.
