AI Leadership 2028

“tha ai company will lead the world by 2028”

aisemiconductorscloudtechnologyby anon · 11 days ago

The AI sector is poised for explosive growth, and the companies with the most advanced chips, cloud infrastructure, and data will dominate. NVIDIA is the undisputed leader in AI compute, making it the core of this basket. Microsoft and Alphabet are the primary cloud providers and AI model developers, with massive ecosystems to monetize AI. Broadcom and AMD are key challengers in custom silicon and GPUs, respectively. Taiwan Semiconductor is the manufacturing backbone for all leading-edge AI chips. This basket concentrates on the most direct beneficiaries of AI leadership by 2028.

Holdings: 11
Largest: 22.7%
Pillars: 3
Revisions: 1

Connect a wallet to launch this theory as a vault on Robinhood Chain. You sign it, so the vault is yours to revise.

How it breaks down

AI Compute Leaders

53.6%

Companies that design or manufacture the most advanced AI chips and hardware, which are the foundation of AI progress.

Cloud & AI Platforms

36.4%

Hyperscale cloud providers that offer AI services and models, with vast data and distribution to lead in AI applications.

AI Software & Applications

10%

Companies that apply AI to their core products or provide platforms for others to deploy AI, capturing value from AI adoption.

Holdings

Every position, why it is here, and its token on chain. Weights sum to exactly 100%.

Weight	Ticker	Company	Why it is here	Token
22.7%	NVDA	NVIDIA	NVIDIA's GPUs are the de facto standard for AI training and inference, and its software ecosystem (CUDA) creates a massive moat that will keep it ahead through 2028.	0xd060…9EEC
13.6%	MSFT	Microsoft	Microsoft's Azure cloud and its partnership with OpenAI position it as a primary provider of AI services to enterprises, with Copilot monetizing AI across its software stack.	0xe932…2e74
10.9%	GOOGL	Alphabet Class A	Alphabet's DeepMind and TPUs give it a leading edge in AI research and cost-efficient training, and its vast data from Search and YouTube fuels AI development.	0x2e08…4FE3
9.1%	AVGO	Broadcom	Broadcom's custom AI accelerators for hyperscalers and its networking technology are critical for scaling AI data centers, making it a key enabler of AI infrastructure.	0x156E…fbcF
9.1%	TSM	Taiwan Semiconductor Manufacturing	TSMC manufactures the most advanced AI chips for NVIDIA, AMD, and others; its leading-edge process technology is indispensable for AI performance gains.	0x58Ff…e7AA
8.2%	AMD	AMD	AMD's MI300 series GPUs offer a competitive alternative to NVIDIA, and its growing market share in data center AI is a direct bet on a multi-vendor AI hardware landscape.	0x8692…3fdC
7.3%	AMZN	Amazon	Amazon's AWS is the largest cloud provider, and its custom Trainium chips and investments in AI startups like Anthropic make it a major AI infrastructure and application player.	0x12f1…bF54
5.5%	META	Meta Platforms	Meta's open-source Llama models and massive user data across its apps give it a strong position to lead in AI-driven advertising and consumer AI applications.	0xc0D6…2f35
4.5%	ORCL	Oracle	Oracle's cloud infrastructure is increasingly chosen for AI workloads due to its performance and cost, and its partnerships with NVIDIA and others make it a rising AI cloud contender.	0xb099…EE03
4.5%	PLTR	Palantir Technologies	Palantir's AI platforms (AIP) are being adopted by enterprises and governments to operationalize AI, positioning it as a leader in AI software and data analytics.	0x894E…4F2A
4.5%	MRVL	Marvell Technology	Marvell's custom silicon and networking solutions for data centers are essential for AI infrastructure, and its design wins with major cloud providers support its growth.	0x62fd…f13B

NVDANVIDIA22.7%
NVIDIA's GPUs are the de facto standard for AI training and inference, and its software ecosystem (CUDA) creates a massive moat that will keep it ahead through 2028.
0xd060…9EEC
MSFTMicrosoft13.6%
Microsoft's Azure cloud and its partnership with OpenAI position it as a primary provider of AI services to enterprises, with Copilot monetizing AI across its software stack.
0xe932…2e74
GOOGLAlphabet Class A10.9%
Alphabet's DeepMind and TPUs give it a leading edge in AI research and cost-efficient training, and its vast data from Search and YouTube fuels AI development.
0x2e08…4FE3
AVGOBroadcom9.1%
Broadcom's custom AI accelerators for hyperscalers and its networking technology are critical for scaling AI data centers, making it a key enabler of AI infrastructure.
0x156E…fbcF
TSMTaiwan Semiconductor Manufacturing9.1%
TSMC manufactures the most advanced AI chips for NVIDIA, AMD, and others; its leading-edge process technology is indispensable for AI performance gains.
0x58Ff…e7AA
AMDAMD8.2%
AMD's MI300 series GPUs offer a competitive alternative to NVIDIA, and its growing market share in data center AI is a direct bet on a multi-vendor AI hardware landscape.
0x8692…3fdC
AMZNAmazon7.3%
Amazon's AWS is the largest cloud provider, and its custom Trainium chips and investments in AI startups like Anthropic make it a major AI infrastructure and application player.
0x12f1…bF54
METAMeta Platforms5.5%
Meta's open-source Llama models and massive user data across its apps give it a strong position to lead in AI-driven advertising and consumer AI applications.
0xc0D6…2f35
ORCLOracle4.5%
Oracle's cloud infrastructure is increasingly chosen for AI workloads due to its performance and cost, and its partnerships with NVIDIA and others make it a rising AI cloud contender.
0xb099…EE03
PLTRPalantir Technologies4.5%
Palantir's AI platforms (AIP) are being adopted by enterprises and governments to operationalize AI, positioning it as a leader in AI software and data analytics.
0x894E…4F2A
MRVLMarvell Technology4.5%
Marvell's custom silicon and networking solutions for data centers are essential for AI infrastructure, and its design wins with major cloud providers support its growth.
0x62fd…f13B

What breaks this

Written by the same model that built the basket, and not edited to sound better.

01Concentration in AI hardware and cloud makes the basket vulnerable to a cyclical downturn in semiconductor spending or a slowdown in cloud capex.
02The thesis assumes NVIDIA maintains its dominance; a major architectural shift or competitive breakthrough by AMD or custom silicon could erode its position.
03Regulatory scrutiny on big tech and AI could limit monetization or force changes in business models, impacting MSFT, GOOGL, AMZN, and META.
04Geopolitical tensions with Taiwan could disrupt TSMC's manufacturing, which would ripple through the entire AI supply chain.
05If AI adoption disappoints or the expected revenue growth fails to materialize by 2028, these high-multiple stocks could see significant de-rating.

Changelog

Every revision to this basket, who made it, and when. A theory is allowed to change its mind in public.

by the modelSep 6, 2026
Basket created from the thesis. 11 holdings.

How this basket was made

Source: Generated
Model: deepseek-chat
Chain: Robinhood Chain · 4663
Created: Sep 6, 2026

The model was given the full list of equities tokenized on Robinhood Chain and could only pick from it. Token addresses were attached afterwards from that same list, so a ticker the model invented would have been dropped rather than shown here. This is not investment advice and it has not been backtested.