Space Resource Processing
In ProgressEstablish the foundational infrastructure for asteroid mining and material processing in space. This phase focuses on developing the supply chain for ...
Estimated Cost
$13.66B
Duration
10-15 years
Building humanity's future among the stars through collaborative planning, research aggregation, and AI-assisted engineering analysis.
3
Phases Planned
$5.30T
Total Estimated
3
LLM Models
150+
Research Papers
A Dyson swarm is a collection of millions of solar-powered satellites orbiting a star, capturing a significant portion of its energy output. Unlike a solid Dyson sphere, a swarm can be built incrementally over time.
The concept was proposed by physicist Freeman Dyson in 1960 as a way for advanced civilizations to meet their energy needs. Today, we're working to make it a reality.
With current and near-future technology, we believe a Dyson swarm is achievable—given proper planning, resource allocation, and international collaboration.
Building a Dyson swarm requires careful, incremental progress. Our plan breaks down this enormous challenge into achievable phases.
Establish the foundational infrastructure for asteroid mining and material processing in space. This phase focuses on developing the supply chain for ...
Estimated Cost
$13.66B
Duration
10-15 years
Begin construction of the first Dyson swarm elements. This phase focuses on building and deploying initial solar collector satellites, establishing as...
Estimated Cost
$158.00B
Duration
20-30 years
Scale up satellite production and deployment to achieve significant solar energy capture. This phase focuses on exponential growth of the swarm while ...
Estimated Cost
$5.13T
Duration
50-100 years
Gemini 3 Pro
GPT-5.2
Claude Opus
We leverage multiple frontier AI models to analyze complex engineering challenges, validate our estimates, and explore diverse perspectives on difficult problems.
Each phase includes curated analysis from Gemini 3 Pro, GPT-5.2, and Claude Opus 4.5, with cross-reviews highlighting areas of consensus and divergent perspectives.
Our plans are grounded in peer-reviewed research. Browse papers from arXiv and see how they inform our engineering decisions.
Energy harvesting & transmission
Lightweight structures
Swarm coordination
Resource extraction
Technical articles and project news
Monte Carlo simulation reveals that solar radiation pressure provides sufficient station-keeping for collectors at ≤0.7 AU, potentially eliminating propellant costs for inner-system swarm operations.
Monte Carlo cost modeling identifies the crossover point where in-space manufacturing becomes cheaper than Earth production plus launch—approximately 3,500 units under baseline assumptions.
Pareto frontier analysis comparing 8 orbital locations for Assembly Hub and depot placement. Sun-Earth L4/L5 emerges as optimal for Phase 1, with 0.7 AU heliocentric as a Phase 2 option.
Project Dyson is entirely volunteer-driven. We welcome researchers, engineers, writers, and enthusiasts to contribute to humanity's most ambitious project.