| 1 |
ETH
|
crypto
finance
|
Grayscale Ethereum Mini Trust ETF
|
8.2x
|
As the lowest-fee U.S. spot ETH ETP now enabled for on-chain staking, ETH can compound NAV and capture cost-sensitive flows as crypto ETF rails and options/liquidity deepen by 2030.
|
| 2 |
IBIT
|
crypto
finance
|
iShares Bitcoin Trust ETF
|
6.0x
|
The most trusted, most‑liquid U.S. spot bitcoin rail with in‑kind creations, options, advisor models, and multi‑custody; if U.S. ETF TAM compounds into retirement channels, IBIT can scale AUM 5–6x by 2030 while defending share with fee/ops excellence.
|
| 3 |
AMZN
|
advertising
ai
automation
cloud
media
|
Amazon.com, Inc.
|
2.3x
|
Compute + logistics + retail media flywheel: by 2030, AWS capacity, agentic shopping, and retail media scale can shift mix to higher-margin streams and 2x enterprise value, even with thin GAAP profits as capex chases compute and power.
|
| 4 |
PLTR
|
ai
defense
enterprise
software
|
Palantir Technologies Inc.
|
2.3x
|
Palantir is becoming the trusted decision OS for the West—standardizing agentic AI across defense and regulated industry—and can scale revenue non‑linearly via AIP rollouts, sovereign/defense programs, and industrial OS wins while remaining capital‑light.
|
| 5 |
TSM
|
ai
automation
cloud
hardware
semiconductors
|
Taiwan Semiconductor Manufacturing Company Limited
|
2.3x
|
Owns the compute-capex flywheel. With 2nm/A16 leadership and scaled CoWoS/SoIC packaging, TSMC can compound AI/HPC manufacturing share into >$250B 2030 revenue while keeping trust, yield and distribution moats.
|
| 6 |
ORCL
|
ai
cloud
enterprise
healthcare
software
|
Oracle Corporation
|
2.3x
|
Transforming into an AI compute + data utility: multicloud Database distribution, Cloud@Customer and GPU superclusters give Oracle a credible path to ~200B revenue by 2030, albeit with heavy capex and execution risk.
|
| 7 |
GOOG
|
advertising
ai
cloud
media
software
|
Alphabet Inc.
|
2.2x
|
Owns the richest global attention graph and a full‑stack AI/compute platform (TPUs, data centers, models, products). If Alphabet converts AI usage into higher‑yield ads, paid subscriptions and Cloud AI services while compounding compute scale, a doubling of enterprise value by 2030 is feasible despite capex and regulation.
|
| 8 |
MSFT
|
ai
cloud
cybersecurity
enterprise
software
|
Microsoft Corporation
|
2.1x
|
Leaning into the compute flywheel, Microsoft can compound Azure + Copilot + Security into a larger recurring platform by 2030, monetizing AI at scale through distribution, bundling and backlog-driven capacity while protecting trust and margins.
|
| 9 |
META
|
advertising
ai
communications
hardware
software
|
Meta Platforms, Inc.
|
2.0x
|
Meta’s unmatched attention graph (3.5B+ daily users) plus a $66–72B 2025 AI capex ramp forms a Last Economy flywheel: higher ad yield, large-scale business messaging and an AI wearables platform. A credible path exists to ~$450B revenue by 2030 and ~2× EV if execution sustains.
|
| 10 |
NVDA
|
ai
cloud
networking
semiconductors
software
|
NVIDIA Corporation
|
1.9x
|
Compute is the new currency: by 2030 NVIDIA can compound its GPU+networking+software stack into a multi-hundred‑billion revenue engine as AI factories scale globally, even as custom silicon rises.
|