Intelligence
Foundation models, agentic systems, specialized AI, inference software, and autonomous decision-making.
RESEARCH
Explore Wildcatters
Artificial intelligence is becoming an economic actor. But intelligence does not run in the abstract. It runs on chips, data centers, electricity, cooling systems, networks, metals, and machines.
Traditional software waits for a human to tell it what to do. Autonomous systems can increasingly perceive, reason, decide, transact, coordinate, and execute. That shift expands AI from a productivity tool into a new participant in the economy.
The Age of Autonomy is the long-wave technological transition created by the convergence of artificial intelligence, robotics, connected devices, decentralized infrastructure, and programmable money. Each layer reinforces the others—and each one depends on a much larger physical base than the market often appreciates.
The investment opportunity is broader than model developers and semiconductor designers. The entire stack must scale.
Foundation models, agentic systems, specialized AI, inference software, and autonomous decision-making.
GPUs, accelerators, servers, data centers, high-speed networking, storage, and cooling infrastructure.
Nuclear, natural gas, grid infrastructure, power equipment, generation capacity, and around-the-clock electricity.
Uranium, copper, rare earths, antimony, steel, and the strategic inputs required to build the physical system.
Robotics, autonomous vehicles, industrial automation, sensors, drones, and physical AI.
Stablecoins, blockchain infrastructure, identity, settlement, and machine-native payment systems.
The International Energy Agency projects global data-center electricity use will roughly double by 2030 to about 945 terawatt-hours. AI is the largest driver of that growth, and in the United States data centers are expected to account for nearly half of electricity-demand growth through 2030.
This is not theoretical. Hyperscalers are signing agreements measured in decades and gigawatts because access to reliable power is becoming a competitive advantage.
Explore the Wildcatters strategyThey are not generally buying entire operating nuclear plants outright. They are using long-term power agreements, direct investments, campus acquisitions, and development partnerships to secure dedicated supply.
Microsoft signed a 20-year power-purchase agreement that supports the restart of Three Mile Island Unit 1—renamed the Crane Clean Energy Center. The agreement is tied to 835 MW of around-the-clock nuclear generation for Microsoft’s data-center needs.
Microsoft source →AWS acquired a 960 MW data-center campus adjacent to Talen Energy’s Susquehanna nuclear plant for $650 million, then expanded its long-term nuclear power relationship.
Talen source →Google signed the first corporate agreement to purchase power from multiple Kairos small modular reactors, targeting up to 500 MW of advanced nuclear capacity.
Google source →Meta signed a 20-year agreement for the output of the Clinton Clean Energy Center, supporting continued operation and expansion of emissions-free nuclear supply.
Constellation source →Wildcatters is the first Tradecraft Research strategy built from the Age of Autonomy thesis. It focuses on the companies that produce the energy, services, nuclear fuel, and strategic materials needed to build the next generation of digital and industrial infrastructure.
Tradecraft Research looks for scarcity, pricing power, strategic relevance, and identifiable catalysts across the autonomy stack.