Building AI to accelerate science and improve lives
In a post by James Manyika, Google argues that AI can speed up scientific progress and improve lives, focusing on health, disaster and weather prediction, learning and economic opportunity. It cites the AlphaFold database, WeatherNext 3 and Flood Hub, and says these advances must be paired with responsible safeguards.
What the article says
On September 15, 2026, James Manyika, Google's senior vice president, published a post titled "Building AI to accelerate science and improve lives", taking stock of AI applications as Google sees them. The claims are Google's own. The text organizes the effort around four areas: health, predicting natural disasters, education and economic opportunity.
Examples cited include AlphaFold, which predicted 200 million protein structures and is said to be used by 4 million researchers; a breast cancer screening study said to have detected 25% of previously missed interval cancers; WeatherNext 3, described as 50% more accurate for precipitation; and Flood Hub, said to reach 2 billion people in more than 150 countries. Google also mentions over $1 billion in training programs, open language datasets and its aim to support the 1,000 most-spoken languages. It acknowledges risks, including misuse and "missed use".
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