When AI Earnings Move Markets After Hours
The final two weeks of July put the world’s largest AI companies and the mechanics of price discovery in the spotlight.
Between July 20 and July 31, Q2 earnings season kicked into high gear for the AI hyperscalers. Alphabet reported on July 22, followed by Meta and Microsoft on July 29 and Amazon on July 30. Together, these companies represent more than 20% of the MarketVector™ Top 500 US Profitable Companies Index (MVUS5P) and more than 50% of the MarketVector™ US Listed AI 10 Index (MVUAI10)
ALL four reported after the U.S. equity market had closed.
For a traditional equity index, the official closing price can remain unchanged until exchanges reopen the following morning. But news and information don’t stop at 4:00 p.m.
MVUAI10 doesn’t either.
The MarketVector™ US Listed AI 10 Index is continuously priced 24 hours a day, five days a week, using Pyth Network pricing when the underlying exchanges are closed. This allows the index to reflect price discovery as investors digest earnings, guidance and rapidly changing expectations outside normal U.S. trading hours.
July provided a real-world demonstration. As Alphabet, Microsoft, Meta and Amazon released results after the closing bell, MVUAI10 continued to move, capturing the market’s evolving assessment of some of the companies at the center of the AI investment cycle.
Figure 1: MarketVector™ Top 500 US Profitable Companies Index (MVUS5P) and MarketVector™ US Listed AI 10 Index (MVUAI10) in July 2026.
Source: MarketVector, data as of August 1, 2026.
The chart tells the story. During the July 20–31 period, MVUAI10 moved materially around the hyperscalers' earnings announcements, while the broad-market benchmark remained comparatively stable outside regular trading hours, creating a gap between the exchange close and open.
For an investment theme as global, fast-moving and news-driven as artificial intelligence, when an index prices can be almost as important as what it holds.
MVUAI10 was designed for that market: concentrated exposure to leading US-listed AI companies, combined with continuous pricing that provides a more timely view of how the market is valuing the AI theme, even when the exchange is closed.
For more information on MarketVector Indexes, visit www.marketvector.com
About the Author(s):
Joy Yang is the Head of Product Management and Marketing at MarketVector Indexes™ (“MarketVector”). She is responsible for managing MarketVector products and services to accelerate innovation in financial index design and adoption. Joy brings more than 25 years of investment experience to MarketVector, having led teams delivering index and quantitative-active investment solutions at Arabesque Asset Management, Dimensional Fund Advisors, Vanguard, Aberdeen Standard Investments, AXA Rosenberg, and Blackrock. She has an MBA from the University of Chicago Booth School of Business and a Bachelor of Science in Electrical Engineering from Cooper Union’s Albert Nerken School of Engineering.
For informational and advertising purposes only. The views and opinions expressed are those of the authors but not necessarily those of MarketVector Indexes GmbH. Opinions are current as of the publication date and are subject to change with market conditions. Certain statements contained herein may constitute projections, forecasts, and other forward-looking statements that do not reflect actual results. It is not possible to invest directly in an index. Exposure to an asset class represented by an index is available through investable instruments based on that index. MarketVector Indexes GmbH does not sponsor, endorse, sell, promote, or manage any investment fund or other investment vehicle that is offered by third parties and that seeks to provide an investment return based on the performance of any index. The inclusion of a security within an index is not a recommendation by MarketVector Indexes GmbH to buy, sell, or hold such security, nor is it considered to be investment advice.
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