Magnificent Seven AI Giants in the Endless Race

SEVENAI Momentum Index  ·  Full Methodology How We Score the Magnificent Seven AI Giants Every Week Five dimensions. One weekly score. Here is exactly how the SEVENAI Momentum Index works — every signal we track, every weighting decision we made, and why. By SEVENAI Editorial  ·  Last updated May 17, 2026 30% Model Benchmarks MMLU · HumanEval · MATH 25% AI Capex Chips · Data centers · Spend 20% Developer Adoption APIs · SDKs · Enterprise 15% Patent Activity Filings · Grants · Trends 10% Talent Hires · Departures · Teams The SEVENAI Momentum Index is a weekly proprietary score — 0 to 100 — for each of the Magnificent Seven AI companies. It is not a stock price prediction, a revenue forecast, or an endorsement. It is a competitive momentum measure: who is gaining ground in the AI race, who is losing it, and how fast. Every score is published every Monday and updated without revision — we stand behind our calls and correct them publicly when we get them wrong. The index...

Model benchmarks are the scoreboard of the AI race. Here is how we use them — and what they reveal about who is winning right now. By SEVENAI Editorial  ·  May 17, 2026  ·  4 min read  ·  Methodology 30% Dimension 1 of 5  ·  Highest weighted Model Benchmarks — the single largest component of the SEVENAI Momentum Index Model benchmarks are the most objective measure of where each company stands in the AI race. They account for 30% of the SEVENAI Momentum Index — the highest-weighted dimension we track. But raw scores only tell half the story. We score each company on both absolute performance and week-over-week improvement , because in a race, momentum predicts the future better than current position. "A company scoring 85% on MMLU and improving by 2 points weekly is more interesting than one scoring 91% and standing still." — SEVENAI Methodology Notes, May 2026 The four benchmarks we track We track four evaluations chosen because they are hard t...

Not all benchmarks are created equal. Here is exactly how SEVENAI measures model performance — and why absolute scores matter far less than the direction of travel. By SEVENAI Editorial  ·  May 17, 2026  ·  11 min read  ·  Methodology 30% Dimension 1 of 5  ·  Highest weighted Model Benchmarks Performance on MMLU, HumanEval, MATH, and frontier evals. Scored on absolute performance and week-over-week improvement. The single largest component of the SEVENAI Momentum Index. The most important number in the AI race is not a stock price, a revenue figure, or a headcount. It is a benchmark score — a single percentage point on a standardised evaluation that tells you, with more precision than any earnings call, whether a company's AI models are getting better or falling behind. Model benchmarks are the scoreboard of the AI race, and they account for 30% of the SEVENAI Momentum Index — the largest single dimension we track. But benchmarks are also the most...