| 1 |
ETH
|
crypto
finance
|
Grayscale Ethereum Mini Trust ETF
|
8.3x
|
Price-leader Ether ETP with live staking and in-kind flows; if U.S. ETH ETP assets compound into advisor channels, ETH can scale AUM 5–10× by 2030 while defending share via 15 bps pricing and staking-enhanced net returns.
|
| 2 |
IBIT
|
crypto
finance
|
iShares Bitcoin Trust ETF
|
5.3x
|
Dominant, lowest-friction U.S. spot BTC rail with deep distribution, in‑kind creations and dual custody; retirement access and global ETP spillovers can 2–4x IBIT’s AUM by 2030 despite fee pressure and BTC cyclicality.
|
| 3 |
AMZN
|
advertising
ai
cloud
software
space
|
Amazon.com, Inc.
|
2.2x
|
By 2030, Amazon’s flywheel of Prime demand, retail media data, and AWS’s AI-first compute scale compounds into a trillion‑plus revenue platform; Kuiper and agentic AI expand distribution while capex funds durable moats.
|
| 4 |
PLTR
|
ai
cloud
defense
enterprise
software
|
Palantir Technologies Inc.
|
2.2x
|
Palantir is becoming the trusted AI operating layer for defense and regulated industry; with agentic AIP, hyperscaler/data-cloud partnerships, and forward‑deployed delivery, it can compound into a high‑margin, standard platform by 2030.
|
| 5 |
GOOG
|
advertising
ai
cloud
media
software
|
Alphabet Inc.
|
2.2x
|
Owning global attention (Search/YouTube), a fast-scaling AI cloud, and the largest distribution graph, Alphabet can double revenue by 2030 as AI agents, CTV, and robotaxi services unlock new SKUs while capex converts to defensible compute capacity.
|
| 6 |
ORCL
|
ai
cloud
enterprise
healthcare
software
|
Oracle Corporation
|
2.1x
|
Backlog-fueled OCI plus Database@Azure distribution can scale Oracle into an AI data+compute utility by 2030, but today’s re‑rating compresses upside; execution shifts to building, powering and monetizing GPU factories with enterprise data moats.
|
| 7 |
MSFT
|
ai
cloud
cybersecurity
enterprise
software
|
Microsoft Corporation
|
2.1x
|
In the Last Economy, Microsoft’s advantage is the densest enterprise distribution plus the most complete AI stack; by 2030 it can compound Azure + Copilot + data (Fabric) into a larger, higher‑recurring revenue base with durable pricing power while reinvesting compute cash flows.
|
| 8 |
TSM
|
ai
automation
enterprise
hardware
semiconductors
|
Taiwan Semiconductor Manufacturing Company Limited
|
2.1x
|
The compute-capex flywheel favors TSMC: N3→N2 leadership plus integrated 3DFabric packaging and sovereign capacity give it first call on AI/HPC silicon; by 2030 it can scale to >$200B revenue even with overseas cost drag and policy frictions.
|
| 9 |
META
|
advertising
ai
hardware
media
software
|
Meta Platforms, Inc.
|
2.0x
|
Distribution at 3.5B users + best-in-class ad engine funds a compute-and-wearables surge; by 2030 Meta can double revenue with AI agents, WhatsApp monetization and smart glasses becoming a daily surface.
|
| 10 |
NVDA
|
ai
hardware
networking
semiconductors
software
|
NVIDIA Corporation
|
1.8x
|
The default AI compute and networking stack keeps compounding into a platform (CUDA/NIMs + Blackwell/GB200 + Spectrum/Quantum) with energy and sovereign buildouts, but sheer size caps upside to a disciplined 1.5–2.0× by 2030 unless software/compute-as-a-service inflects.
|