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 — 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.

Tickers tracked

Supply-chain layers

Hidden beneficiaries

19:13

Updated UTC · 2026-05-13

All 34 Hidden Beneficiary 2 Cash Cow 1 Pure-Play, Stretched 4 Hype, Weak Numbers 0 Bagholder Trap 0 Mixed Signals 27

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.

How each verdict is computed

All thresholds re-evaluated every 30 minutes

Hidden Beneficiary

AI exposure ≥ 30% · PE %ile < 60 · IV rank < 75 · Floor distance > −25%

Real AI revenue exposure, but the market hasn’t priced it in yet — opportunity window before the consensus catches up. e.g. CRDO · VST — 2 of 34

Cash Cow

AI exposure ≥ 15% · PE %ile ∈ [40, 85] · IV rank < 55 · Floor distance > −15%

Durable AI-related revenue at a fair-to-rich multiple, with low option-implied stress — the steady compounder bucket. e.g. CEG — 1 of 34

Pure-Play, Stretched

AI exposure ≥ 40% · PE %ile ≥ 85 · IV rank ∈ [60, 90] · Floor distance ≥ −5%

Genuine AI exposure but the multiple has run far ahead of the trailing fundamentals — late-cycle entry, no margin of safety. e.g. AMAT · KLAC · LRCX · VRT — 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 — multiple compression, not opportunity. e.g. — 0 of 34

Bagholder Trap

IV rank ≥ 85 · Floor distance < −25% · PE %ile and price diverge by > 30 pts

Floor already broken, implied volatility extreme, valuation structure inconsistent with current price — late-stage holders hoping to break even. e.g. — 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 — fairly priced relative to history with no obvious edge either way. e.g. ASML · NVDA · AVGO · AMD · TSM — 27 of 34

How AI exposure is measured

“AI exposure” estimates what share of a company’s revenue is genuinely tied to AI demand — 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 — PE percentile, IV rank, AI exposure — 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 “best AI stocks” 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 — utilities, fab equipment, cooling.

Why is NVDA flagged “Pure-Play, Stretched” instead of “best”?

Because the data says so. PE percentile in the high 90s, IV rank in the 80s, floor distance near zero. The verdict isn’t a sell call — it’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 “Mixed Signals” — fairly priced, nothing to flag — instead of force-fitting it into a category.

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