AI Stocks vs AI ETFs — Which Is Right for You?
| AI ETFs | AI Stocks (this page) | |
|---|---|---|
| Risk | Diversified across 30–100+ companies | Concentrated in individual names |
| Cost | Expense ratio (0.10–0.75%) | No ongoing fee |
| Effort | Buy once, rebalanced for you | Research + monitor each stock |
| Best for | "Set and forget" AI exposure | Conviction picks, active investors |
AI ETFs
RiskDiversified across 30–100+ companies
CostExpense ratio (0.10–0.75%)
EffortBuy once, rebalanced for you
Best for"Set and forget" AI exposure
AI Stocks (this page)
RiskConcentrated in individual names
CostNo ongoing fee
EffortResearch + monitor each stock
Best forConviction picks, active investors
The AI Value Chain
Chipmakers
The picks and shovels of AI. These companies design and manufacture the GPUs and custom silicon that train and run every AI model. They profit regardless of which AI application wins.
NVDA, AMD, TSM, AVGO
Platforms
Cloud infrastructure and AI model providers. They sell the compute, storage, and pre-built AI services that companies consume. Diversified revenue, lower risk than pure-play.
MSFT, GOOGL, META
Applications
Enterprise AI software. These companies build the tools that turn AI capabilities into business workflows and decisions. Higher risk, higher reward if their AI thesis plays out.
PLTR, CRM, SNOW
Chipmakers — The Picks & Shovels
Every AI model starts with silicon. These 4 companies own the hardware layer.
NV
NVDA
NVIDIA Corporation
The undisputed king of AI chips. ~80% GPU market share for training.
P/E
38.2
Mkt Cap
$4.6T
1Y Return
+70.0%
- Data centre revenue grew 400%+ driven by AI GPU demand.
- Every major AI model — GPT, Gemini, LLaMA — was trained on NVIDIA hardware.
- CUDA software ecosystem creates a moat that AMD and custom chips struggle to match.
AM
AMD
Advanced Micro Devices, Inc.
NVIDIA's primary challenger. MI300 series gaining traction in data centres.
P/E
92.1
Mkt Cap
$400B
1Y Return
+162.4%
- MI300 series competes for data centre AI workloads at a lower price point.
- Growing AI revenue from both training and inference GPUs.
- Lower valuation than NVIDIA offers upside if AMD captures meaningful market share.
TS
TSM
Taiwan Semiconductor Manufacturing Company Limited
Manufactures ALL cutting-edge AI chips. The invisible backbone.
P/E
30.2
Mkt Cap
$1.9T
1Y Return
+135.9%
- NVIDIA, AMD, Apple, and Broadcom all depend on TSMC for chip manufacturing.
- No competitor can match their advanced process nodes.
- Benefits from every AI chip company's success regardless of who wins the design race.
AV
AVGO
Broadcom Inc.
Custom AI chips + networking for hyperscalers. VMware adds software.
P/E
70.5
Mkt Cap
$1.8T
1Y Return
+104.2%
- Designs custom AI chips (ASICs) for Google, Meta, and other hyperscalers.
- AI networking solutions connect GPU clusters in data centres — critical infrastructure.
- Diversified across AI chips, networking, and enterprise software (VMware).
Platforms — Cloud & AI Models
The mega-caps building AI infrastructure at hyperscale.
MS
MSFT
Microsoft Corporation
Azure AI + OpenAI partnership. Copilot across everything.
P/E
23.1
Mkt Cap
$2.8T
1Y
-4.5%
GO
GOOGL
Alphabet Inc.
Gemini, DeepMind, Google Cloud. AI-first across the board.
P/E
29.0
Mkt Cap
$3.8T
1Y
+101.9%
ME
META
Meta Platforms, Inc.
LLaMA open-source models + AI-driven ad revenue machine.
P/E
26.3
Mkt Cap
$1.6T
1Y
+15.9%
Applications — Enterprise AI Software
Where AI meets business. Higher risk, higher growth potential.
High valuations ahead
AI stocks trade at extreme valuations. NVDA's P/E exceeds 50x. High growth can justify the premium — but if AI spending slows, these are the stocks that fall fastest. Diversify across all three layers rather than going all-in on one name.
Not sure if a stock is right for you?
We answer three simple questions for every stock — so you don't have to read financial reports.
Am I paying too much?
4
Is this a good business?
9
Will it keep me up at night?
3
NVDA is a great business but expensive and volatile — the gauges show you that instantly.
Want to know how we calculate this? Every gauge expands to show the exact formulas on the stock detail page.
See it in action on NVDA →How Have They Performed?
One stock from each layer of the AI value chain — chipmakers, platforms, and applications.
NV
NVDA
NVIDIA Corporation
NVIDIA Corporation
NVDA
$188.63+2.57%
P/E: 38.2
MS
MSFT
Microsoft Corporation
Microsoft Corporation
MSFT
$370.87-0.59%
P/E: 23.1
GO
GOOGL
Alphabet Inc.
Alphabet Inc.
GOOGL
$317.24-0.39%
P/E: 29.0
AM
AMD
Advanced Micro Devices, Inc.
Advanced Micro Devices, Inc.
AMD
$245.04+3.55%
P/E: 92.1
PL
PLTR
Palantir Technologies Inc.
Palantir Technologies Inc.
PLTR
$128.06-1.86%
P/E: 188.1
Where to Buy AI Stocks
Regulated platforms available in your country. Data from our broker comparison.
GBM
4.5
Platform of the Grupo Bursátil Mexicano that facilitates investing from Mexico in stocks, funds, and ETFs through a digital, educational, and intuitive interface. Design your portfolio and grow your wealth step by step.
Fintual
4.3
Latin American fintech that democratizes investing through mutual funds, stocks, and ETFs. Start investing with no commissions and from USD 1.
Folionet
4.3
Established in Miami for the Latin American audience, Folionet provides you access to your own investment account in the U.S., wherever you are. Choose between a personal account or one with advisory services and start enhancing your capital in international markets.
Hapi
4.2
A platform originating from Peru, Hapi democratizes access to the U.S. Stock Market from Latin America, allowing you to invest in over 12,000 stocks, ETFs, and cryptocurrencies starting from just US$5. Begin building your portfolio today.
Should You Buy Individual AI Stocks?
Potential upside
- Highest-growth sector in equities — AI spending is still accelerating year over year.
- Pick individual winners for outsized returns that diversified ETFs can't match.
- No ongoing expense ratio eating into returns — unlike AI ETFs.
- Direct exposure to specific AI layers you believe in most.
- Most major AI stocks are accessible from LATAM via SIC, BDRs, or international brokers.
Key risks
- Extreme concentration risk — NVDA alone can swing your whole portfolio.
- Valuations assume continued hypergrowth for years. If AI spending slows, multiples compress fast.
- Most AI stocks pay zero dividends — pure growth, no income cushion.
- Sector rotation or spending slowdown hits all AI names simultaneously.
- Requires active monitoring — these aren't 'buy and forget' stocks like dividend blue-chips.
How We Selected These Stocks
AI revenue exposure
Meaningful, quantifiable revenue from AI products, infrastructure, or services — not just an 'AI strategy' press release.
Market cap and liquidity
Large-cap stocks (>$50B) that LATAM investors can access through SIC, BDRs, or international brokers.
Value chain coverage
All three AI layers represented: chipmakers (NVDA, AMD, TSM, AVGO), platforms (MSFT, GOOGL, META), and applications (PLTR, CRM, SNOW).
Demonstrated growth
Proven AI revenue growth reflected in financial results, not speculative projections.
Quick Comparisons
Frequently Asked Questions
NVIDIA has been the biggest AI winner so far, but the stock trades at a premium valuation. The bull case: AI chip demand is still growing rapidly, and NVIDIA's CUDA software ecosystem creates a strong moat. The bear case: high expectations are priced in, and AMD and custom chips (from Google, Amazon) are gaining ground. At current prices, NVIDIA needs to keep executing flawlessly.
Individual AI stocks offer higher potential upside (picking the right winner) but concentrated risk (picking the wrong one). AI ETFs spread risk across 30-100+ companies but dilute returns. Most investors benefit from both: an AI ETF as a core holding plus 2-3 individual conviction picks.
Very few. Microsoft pays a small dividend (under 1%). Broadcom pays a moderate one (around 1.5%). The rest — NVIDIA, Google, Meta, AMD, Palantir, TSM, Salesforce, Snowflake — either pay nothing or token amounts. AI stocks are growth plays: companies reinvest profits into R&D and infrastructure rather than paying shareholders.
AI stocks trade at premium P/E ratios compared to the market average. NVIDIA's P/E often exceeds 50x. But high P/E ratios can be justified if growth is high enough — NVIDIA's earnings have been growing faster than its stock price. The real risk is a slowdown in AI spending. Compare the current AI boom to the dot-com bubble: the technology was real then too, but valuations got ahead of revenue. Diversifying across the AI value chain reduces this risk.
Yes. In Mexico, most major AI stocks are on the SIC through GBM and Bursanet. In Brazil, many are available as BDRs on B3. For stocks not available locally, international brokers like Interactive Brokers and Avenue provide full access to US markets.
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