The Question
Large language models are a genuine game changer. They have made knowledge work faster and more accessible, while making guidance, information, writing, and creative support available far beyond technical users. Their value is real.
Yet utility, efficiency, and additionality are not the same thing. When the same report is written faster, the same question is answered more quickly, or the same decision is made with less effort, productivity may improve without creating a new service, expanding access, or producing a new real-world outcome.
The question that matters to me is not whether large language models are valuable. It is whether their economic delta will ultimately match the scale of their technological leap.
The Thesis
My working thesis is that the next consequential frontier lies in narrowing the distance between intelligence that advises and intelligence that acts.
The path I have chosen to explore is World Models → World-Action Models: systems that learn how the world changes, reason about the consequences of intervention, and translate prediction into purposeful action.
The promise is not simply to do existing work faster. It is to make previously inaccessible or uneconomic actions possible: mobility for people who cannot independently travel; assistive machines that extend human capability through non-invasive, multimodal interfaces; and flexible industrial systems that could allow one person to supervise a larger production cell while making high-mix, variable production more economical.
These outcomes are not guaranteed, and the field remains early. But they point toward a more demanding measure of progress: not only how much work intelligence can compress, but how much new possibility it can create.
The Decision
As a strategy analyst, I am accustomed to examining the futures of organizations and industries. The harder responsibility is to apply the same discipline to my own future.
In July 2026, after weighing the opportunity, uncertainty, and cost, I chose to relocate from Nashua, New Hampshire, to Wudaokou, Beijing. I saw a rare, asymmetric opportunity to work closer to the frontier I wanted to understand—not as a distant observer, but through direct commitment.
This move is both a self-directed choice and a deliberate challenge. I cannot know the outcome in advance, and I do not pretend that the thesis is guaranteed. But I believe it is important enough to test seriously, and I am confident in my ability to make the decision meaningful.
Strategy is ultimately a choice under uncertainty. This is mine.