The AI Impact Score
A quantitative, market-wide measure of a company's exposure to AI disruption — as a tailwind or a headwind to its business.
What it measures
AI is now a structural force reshaping the economy, and it does not respect sector boundaries. Two companies in the same GICS bucket can sit on opposite sides of the same technology shift. The AI Impact Score captures how the market prices each company's exposure to that shift, on a comparable scale across the investable universe.
It is produced by Qaimera's AI investment system rather than assembled by hand, which means it covers the whole market, refreshes on a fixed cadence, and applies the same treatment to every name.
How investors use it
Invest in structural disruption
Build strategies that hold the companies the market prices as AI beneficiaries and avoid or short those it prices as losers, with a signal that updates as the market's view changes.
Find hidden risk in a portfolio
Aggregate the score across existing holdings to see the AI exposure you already own — often concentrated in positions held for entirely unrelated reasons.
Frame the client conversation
A single, comparable number across the market gives allocators a defensible way to answer 'what is our AI exposure?' without relying on sector labels.
Methodology
The score is deterministic: the same inputs produce the same value, so changes over time are interpretable rather than noise from a resampled model. The full construction — data inputs, estimation, validation, and how the score behaves across regimes — is documented in our whitepaper.
The score also feeds our own portfolios. The AI Olympians portfolio is rebuilt each month from the names most strongly positioned to benefit from AI disruption, and the AI Laggards list from those most at risk.
Download the methodology whitepaper
Free. Includes the construction of the score and worked examples of how it is applied in portfolio construction and risk review.