AIインフラから宇宙、エネルギー、銅、バイオテック、防衛、量子、GLP-1まで — 資本がどこに向かっているかの構造的マップ。
These 14 master themes map the structural shifts moving markets — from AI infrastructure and the space economy to energy, copper, biotech, defense tech, quantum, GLP-1 and beyond. Each theme separates the large-cap leaders ('baba') from smaller, asymmetric names ('kucuk'), with every company story grounded in real earnings data and a MoonshotScore. It is a research map, not investment advice.
Fourteen master themes, each mapping where capital is flowing and which public companies sit in the path.
Falling launch costs, government missile-defense spending, and direct-to-device connectivity are turning space from a cost center into a recurring-revenue infrastructure layer.
The physical buildout layer of AI — accelerators, advanced packaging, high-bandwidth memory, datacenter networking and GPU cloud — where hyperscaler capex converts directly into hardware demand.
AI compute is colliding with a power-constrained grid, turning electricity generation, nuclear capacity, gas turbines, and transmission equipment into the binding constraint on the AI buildout.
Copper is the irreplaceable conductor of electrification and the AI buildout, where structurally slow new-mine supply collides with demand from data centers, the grid and EVs.
AI is compressing the slowest, costliest stage of pharma — early discovery — while gene editing and robotic precision medicine reshape how diseases are treated downstream.
A multi-decade defense spending super-cycle is rerating from legacy hardware toward software, autonomy, and space-based missile defense.
The compute layer racing toward fault tolerance — where below-threshold error correction and the first verifiable quantum advantage have shifted the question from 'if' to 'when,' across four competing qubit modalities.
GLP-1 incretins have become the largest drug class in pharma history, and the next phase of value shifts toward oral formulations, amylin-based next-gen mechanisms, and the manufacturing chain that supplies them.
Bitcoin miners are repurposing their scarcest asset — energized, grid-connected power and shovel-ready datacenter sites — into AI and high-performance-computing capacity under long-dated contracts with hyperscalers and neoclouds.
The orchestration layer of enterprise AI — software that lets large language models plan, take multi-step actions and execute workflows autonomously inside the systems companies already run.
US federal stablecoin law plus card-network and bank adoption are converting stablecoins from a crypto-trading utility into regulated dollar payment rails, creating a recurring reserve-income business tied to short-term Treasury yields.
Autonomous mobility is moving from pilot to paid commercial scale, with driverless rides and freight now generating revenue across multiple US and Chinese cities.
The American Industrial Renaissance is the multi-year capital-spending wave to rebuild US manufacturing capacity, electrical infrastructure and the power grid — now pulled forward by AI data-center demand even as the original CHIPS/IRA construction surge plateaus.
Meta Ray-Ban proved that AI-first, display-light glasses are the first consumer wearable since the smartwatch to find a real mass market, and Apple plus Google are now entering the category.
We track the long-horizon shifts that reshape markets — the build-out of AI infrastructure, the space economy, the electricity behind AI, the copper bottleneck, AI drug discovery and more. Each becomes a dedicated theme page.
Inside every theme we split the structural large-cap leaders ('baba') from the smaller, higher-asymmetry names ('kucuk'), so you see both the lower-variance anchors and the higher-risk, higher-upside plays.
For each company we pull its latest earnings-call outlook, analyst price targets, and growth, margin and cash figures from FMP, then write a concise, source-grounded story — no invented numbers.
Each company carries a MoonshotScore from our 9-factor model, recalculated daily, so you can compare names within and across themes on a consistent signal.
Every ticker links to a full deep-dive report with live market data, so you can move from a theme thesis to a single company in one tap.
They are the structural shifts we believe are moving markets through the late 2020s — AI infrastructure, the space economy, the electricity behind AI, the copper bottleneck, AI drug discovery, defense tech, quantum computing, obesity and GLP-1, Bitcoin miners pivoting to AI, agentic software, stablecoins, robotaxi, US reshoring and smart glasses. Each has a dedicated, data-grounded theme page.
Within each theme we separate the structural large-cap leaders ('baba', the Turkish word for the big, anchoring names) from smaller, more asymmetric companies ('kucuk', the smaller names). Leaders offer lower-variance exposure; the smaller names carry higher upside and deeper potential drawdowns.
Each theme's macro thesis is built from reputable, current market research, and every company story is grounded in real financial data pulled from FMP — earnings-call outlooks, analyst price targets, and growth, margin and cash figures — never invented numbers. Each company also carries a MoonshotScore.
A screener filters by metrics; these theme pages explain the structural 'why' behind a trend, map the value chain layer by layer, and pair the leaders with the asymmetric names — then link each ticker to a full deep-dive report. It is a research map, not just a filter.
No. This is an educational research tool, not investment advice. Theme membership and MoonshotScores reflect research interest, not buy or sell recommendations, and data is sourced from FMP and cited market research. Always do your own research and consult a licensed financial advisor before investing.
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