AI Stock Monitor

The real best AI stocks, by where they sit in the chain

Every public AI-exposed company, organized by where they sit in the AI value chain β€” from fab equipment at the bottom to edge devices at the top. Each ticker carries one of five live verdicts driven by valuation percentile, IV rank, and floor distance.

34
Tickers tracked
9
Supply-chain layers
2
Hidden beneficiaries
19:13
Updated UTC Β· 2026-05-13
Verdict filter
Why a map, not a list? Search results for “best AI stock” are dominated by listicles that recommend the same seven names. We instead map the full value chain, including the unloved layers (data-center power, cooling, fab equipment) where the next batch of AI-driven earnings beats will actually land.
L1

Semiconductor Fab Equipment

The picks-and-shovels for the picks-and-shovels. Nobody builds a fab without these.
1 ticker
Ticker Company AI % PE %ile IV Verdict
ASML ASML Holding 60% 93 96 Mixed Signals
L2

AI Compute Chips

The headliners. Where every “best AI stock” listicle starts and stops.
6 tickers
NVDA NVIDIA 85% 79 95 Mixed Signals AVGO Broadcom 55% 92 36 Mixed Signals AMD Advanced Micro Devices 50% 64 69 Mixed Signals TSM Taiwan Semiconductor 45% 73 94 Mixed Signals MRVL Marvell Technology 40% 64 80 Mixed Signals INTC Intel 15% PE distorted 98 Mixed Signals
L3

Memory & Storage

HBM is the second bottleneck after H100s. Cyclically misunderstood.
2 tickers
MU Micron Technology 35% 86 94 Mixed Signals SNDK Sandisk / WD storage 25% 90 80 Mixed Signals
L4

Networking & Interconnect

Every datacenter the hyperscalers build needs ten times more switching than five years ago.
2 tickers
ANET Arista Networks 50% 67 99 Mixed Signals CSCO Cisco Systems 12% 94 86 Mixed Signals
L5

Servers, Cooling, Power Delivery

Liquid cooling and high-density rack vendors are the most leveraged play on capex growth.
3 tickers
SMCI Super Micro Computer 75% 14 86 Mixed Signals DELL Dell Technologies 25% 94 86 Mixed Signals ETN Eaton Corporation 20% 100 97 Mixed Signals
L6

Data Center Power & Utilities

Nobody’s listicle calls these “AI stocks.” That’s exactly the opportunity β€” capex needs gigawatts.
1 ticker
ETR Entergy 20% 57 99 Mixed Signals
L7

Hyperscalers

The capex spenders. AI is real revenue, but the dollar exposure as % of business varies wildly.
5 tickers
MSFT Microsoft 30% 6 82 Mixed Signals GOOG Alphabet 25% 93 98 Mixed Signals META Meta Platforms 20% 0 35 Mixed Signals AMZN Amazon 18% 27 81 Mixed Signals ORCL Oracle 22% 69 82 Mixed Signals
L8

AI Software & Application Layer

Where AI revenue actually shows up on a SaaS income statement β€” or doesn’t.
5 tickers
PLTR Palantir 55% 0 78 Mixed Signals NOW ServiceNow 25% 72 99 Mixed Signals CRM Salesforce 18% 0 95 Mixed Signals MDB MongoDB 30% Loss 49 Mixed Signals SNOW Snowflake 25% Loss 100 Mixed Signals
L9

Edge AI & Devices

On-device inference is a slow burn. Watch the consumer-electronics cycle, not the AI cycle.
2 tickers
AAPL Apple 8% 86 79 Mixed Signals QCOM Qualcomm 18% 72 99 Mixed Signals

How each verdict is computed

All thresholds re-evaluated every 30 minutes
Hidden Beneficiary
AI exposure β‰₯ 30% Β· PE %ile < 60 Β· IV rank < 75 Β· Floor distance > βˆ’25%
Real AI revenue exposure, but the market hasn’t priced it in yet β€” opportunity window before the consensus catches up. e.g. CRDO Β· VST  β€”  2 of 34
Cash Cow
AI exposure β‰₯ 15% Β· PE %ile ∈ [40, 85] Β· IV rank < 55 Β· Floor distance > βˆ’15%
Durable AI-related revenue at a fair-to-rich multiple, with low option-implied stress β€” the steady compounder bucket. e.g. CEG  β€”  1 of 34
Pure-Play, Stretched
AI exposure β‰₯ 40% Β· PE %ile β‰₯ 85 Β· IV rank ∈ [60, 90] Β· Floor distance β‰₯ βˆ’5%
Genuine AI exposure but the multiple has run far ahead of the trailing fundamentals β€” late-cycle entry, no margin of safety. e.g. AMAT Β· KLAC Β· LRCX Β· VRT  β€”  4 of 34
Hype, Weak Numbers
AI exposure ∈ [10%, 35%] · PE %ile < 45 · Revenue YoY < +10% · Floor broken
Carries an “AI” narrative on earnings calls but the income statement doesn’t reflect it β€” multiple compression, not opportunity. e.g.  β€”  0 of 34
Bagholder Trap
IV rank β‰₯ 85 Β· Floor distance < βˆ’25% Β· PE %ile and price diverge by > 30 pts
Floor already broken, implied volatility extreme, valuation structure inconsistent with current price β€” late-stage holders hoping to break even. e.g.  β€”  0 of 34
Mixed Signals
Has cached PE / IV / revenue but matches none of the five extreme archetypes
Neither cheap nor stretched, no extreme volatility, no clear pattern β€” fairly priced relative to history with no obvious edge either way. e.g. ASML Β· NVDA Β· AVGO Β· AMD Β· TSM  β€”  27 of 34

How AI exposure is measured

“AI exposure” estimates what share of a company’s revenue is genuinely tied to AI demand β€” not just whether the earnings call mentions it. We curate this manually each earnings season using segment disclosures, management commentary, and channel checks.

The three metrics that drive verdicts β€” PE percentile, IV rank, AI exposure β€” are computed independently and then combined via the rules above. No black box; you can replicate the classification with the published thresholds. (Floor distance is used internally when available but not surfaced for this universe; it’s designed for dividend-yielding strategies, not high-growth AI names.)

FAQ

How is this different from listicle &ldquo;best AI stocks&rdquo; pages?

They publish opinion. We publish a live diagnostic that updates with the market. Their list is the same seven names. Ours covers nine layers including unloved ones β€” utilities, fab equipment, cooling.

Why is NVDA flagged &ldquo;Pure-Play, Stretched&rdquo; instead of &ldquo;best&rdquo;?

Because the data says so. PE percentile in the high 90s, IV rank in the 80s, floor distance near zero. The verdict isn&rsquo;t a sell call β€” it&rsquo;s a notice that buyers here have no margin of safety left.

How often does it update?

Valuation, IV, and floor refresh every 30 minutes. AI revenue exposure is hand-curated, refreshed each earnings season.

Can a stock have no verdict?

Only when we have no cached fundamentals to evaluate (e.g. shortly after a new ticker is added to the curation set). When PE / IV / revenue are present but no extreme archetype fits, we tag the row &ldquo;Mixed Signals&rdquo; β€” fairly priced, nothing to flag β€” instead of force-fitting it into a category.

Methodology Β· Disclaimer Β· zh / en Last refresh 2026-05-13 19:13 UTC