Preview the Prologue
This book began nearly a year ago, after a simple lunch that turned into a wide-ranging conversation about careers, families, and what comes next in our lives. Both of us have had a decades long career in intellectual property so, inevitably, the discussion drifted toward artificial intelligence and the possibility of collaborating to write a book. From the start, we knew the task would be daunting. To write about a field moving at breakneck speed means accepting that much of what we describe will evolve, even become obsolete before these pages ever reach a reader. Still, our goal was not to capture the fleeting headlines of the moment, but to consider the deeper currents: the paradigm shifts of the past, the principles of governance, and the enduring question of ownership.
The pace of technological development ensures that by the time this goes to press, some details will already feel outdated. But the structural questions, who owns the intelligence that powers our future, how it is governed, and how unintended consequences are contained will remain central. If history has taught us anything, it is that those who control the core platforms of technology also control extraordinary influence. We’ve seen this already in the rise of Google, Apple, Microsoft, Meta, Amazon, and others: companies that hold vast troves of data, dictate algorithms that make or break small businesses, and shape not just consumer behavior, but political and cultural life.
Now, imagine what happens when the next generation of AI embeds itself everywhere: our cars, homes, workplaces, supply chains, health systems, even our very biology. It may monitor our sleep patterns, anticipate what we eat, analyze our genetic code, and in Orwellian fashion, infer what we think. In the coming decades, the intelligence woven into devices, robots, and networks will not merely serve us; it will shape the very contours of human experience. How we govern this transition will determine whether it elevates humanity or diminishes it.
At the heart of this challenge is intellectual property. Who owns what AI creates? Who owns the data and content fed into these systems, and what information is acceptable to use? Who is accountable when things go wrong? These questions are not merely academic but needed to implement the essential policies needed. Every company will deploy AI. Some will build it, others will buy or license it, but all will depend on it in some way. Without clear structures for ownership, governance, and risk management, organizations risk chaos and society risks harm.
This is not a problem for coders alone. Today, brilliant young developers are creating technologies that will define the century, but they cannot be expected to foresee every unintended consequence. There are larger issues of ethics, legality, and brand. That responsibility falls to senior leaders, policymakers, and lawyers to those with the experience to recognize the stakes. Just as the framers of the U.S. Constitution laid down a foundation for more than two centuries of self-governance, the builders and implementers of AI today have a duty to establish principles of ownership, governance, and accountability that can guide generations to come.
The opportunity and the responsibility lies before us. The decisions made in the next decade will shape not just markets, but humanity itself.