AI Economy
In the semiconductor sector, the United States has taken an unprecedented step: converting unused CHIPS Act funds into a 10% stake in Intel, with options to acquire an additional 5% if necessary. This is not merely wartime mobilization, it represents the politicization of innovation. Market decision-making may increasingly serve political
AI Economy
Inflation is no longer just a monetary phenomenon. In the past, rising prices were explained by pandemic-era supply disruptions or central banks’ excess liquidity. Today, inflation increasingly reflects the costs of securing AI capacity, reshoring supply chains, and hedging geopolitical risk. Countries allocate resources to “guns” and “butter,” but when
AI Economy
Recent discussion around AI infrastructure has focused heavily on scale. Power consumption figures, capital expenditure, and data center counts dominate the narrative. These metrics are not incorrect, but they obscure a more consequential shift. The defining feature of large-scale AI workloads is not their magnitude, but their timing. Systems designed
AI Economy
A strange mismatch has taken shape around artificial intelligence. At conferences and in interviews, the people building AI repeat the same urgent concerns: power is tight, compute is stretched, and expansion is hitting physical limits. Yet, everyday use tells a completely different story. When people open AI tools today, they
AI Economy
Some arrangements, once they are put into operation, no longer treat exit as a reversible move. Not because departure is forbidden, but because returning after a position is lost becomes prohibitively expensive. Power purchase agreements extend across decades. Transformer orders sit in queues measured in years. Grid connection permits, once
AI Economy
Most discussions about AI still begin with capability. Accuracy improves. Reasoning lengthens. Benchmarks move. In deployment, capability is rarely the binding constraint. Systems using models of similar maturity often grant AI very different roles. Some allow continuous autonomous decisions. Others restrict AI to advisory functions, even when performance appears sufficient.
Cultural Shifts
You hold Bitcoin. So does Elon Musk. His companies sit on more than 20,000 of them. But the same coin is not the same thing in your hands and his. Not because you disagree on where it's headed, but because you're using it for different
AI Economy
When Gemini’s big update landed, the reactions surfaced in a familiar pattern. People didn’t just celebrate; they moved. Confidence shifted, curiosity spiked, timelines filled with screenshots and first impressions. Some even announced they were switching models. Whether they stay or drift back isn’t the point. The behavior
AI Economy
AI Economy
The Infrastructure of Dependency Novelty fades faster than infrastructure. What felt revolutionary in 2023 had become routine by 2025. Three out of four knowledge workers used AI tools daily, and nearly half had adopted them within months [1]. The excitement of early experimentation settled into expectation. Automation ceased to feel
AI Economy
The Psychological Infrastructure of Acceleration A day begins with a question entered into a chatbot. The response arrives within seconds, formatted and confident. A designer uses AI to generate three variations of a layout in the time it once took to sketch one. A programmer watches code appear line by
AI Economy
How Technology Forces Society to Rebuild By the mid-1840s, Britain had caught railway fever. Parliament approved more than two hundred new companies in a single year, sketching lines that together would stretch nearly 10,000 miles [1]. With only a tenth of the price required up front, clerks and schoolteachers