Definition
AI Sector Correlation measures how closely a stock's price movements have tracked the artificial-intelligence sector over the trailing 12 months, isolated from ordinary broad-market movement. It is shown against two benchmarks: a broad AI-themed ETF (the "AI sector" reading) and a semiconductor ETF (the "AI hardware" reading). It's a statistic about historical price co-movement, not a measure of a company's AI-driven revenue and not a valuation judgment.
Formula
RSP, not SPY, is the market control. SPY and AIQ have roughly 0.84 correlation with each other, since SPY is now heavily weighted toward AI-related mega-caps — controlling for SPY would strip out real AI signal along with market noise. RSP has only around 0.51-0.53 correlation with AIQ, a cleaner "broad economy" proxy. This is a non-obvious methodology choice: a naive raw correlation with AIQ (skipping the market-control step entirely) scores almost any large growth stock as "AI-correlated," since growth stocks broadly move together — partial correlation removes that.
How to interpret it
Worked example
Worked example: AMD
Common mistakes
Frequently asked questions
What is "AI Sector Correlation"?
A measure of how closely a stock's price movements have tracked the AI sector (represented by a broad AI-themed ETF) over the trailing 12 months, after removing the effect of general stock-market movement. It answers "does this stock move with AI-sector sentiment specifically, beyond just moving with the market overall?" — not whether the company's revenue comes from AI.
How is it calculated?
We compute daily returns for the stock, an AI-sector ETF (AIQ), and an equal-weight broad-market ETF (RSP) over the trailing year, then calculate the partial correlation between the stock and the AI ETF while statistically controlling for the broad-market ETF. This isolates AI-specific co-movement from ordinary market-wide moves. The same calculation is then run a second time against a semiconductor ETF (SMH) to give the separate "AI hardware" reading (see AI Hardware Correlation).
What does "Inverse" mean?
A reading of -0.20 or lower. After removing general market movement, the stock has tended to rise when the benchmark (the AI sector or semiconductor stocks) falls, and fall when it rises. It is a strong link in the opposite direction, which is why it is coloured red like High. It describes past price behaviour, not a prediction.
What is the "AI hardware" reading, and why show two numbers?
The broad AI ETF (AIQ) mixes hardware, cloud and software companies, so a stock can look unrelated to it while moving strongly with, or against, semiconductor stocks (SMH), the hardware side of the AI boom. Showing both readings lets you see either pattern. The same bands and colours apply to both.
What do the colours mean?
The colour shows how strongly the stock's price has been tied to the benchmark, in either direction, not whether that is good or bad. Red means a strong link: High (moves with it) or Inverse (moves against it). Amber is Moderate, green is Low, and cyan means no meaningful link (None). Red is not a quality or valuation warning.
Does a high score mean I should buy this stock?
No. This is a descriptive statistic about historical price co-movement, not a valuation judgment or a recommendation. A stock can show high AI correlation and still be overvalued, and a stock with no AI correlation can still be a sound investment for other reasons.
Why does KashVector control for RSP instead of SPY?
SPY and AIQ have roughly 0.84 correlation with each other, since SPY is now heavily weighted toward AI-related mega-caps — controlling for SPY would strip out real AI signal along with market noise. RSP (equal-weight) has only around 0.51-0.53 correlation with AIQ, a much cleaner separation between "the AI sector" and "the broad market."
Why do some international stocks score lower than expected?
Stocks listed outside the US trade on a different calendar to the US-listed AIQ/RSP benchmarks used for this comparison, so there are fewer directly overlapping trading days. This can understate the correlation for otherwise AI-linked international companies — a known limitation of the method, not a judgment about the company.