If Google can’t  make AI agents useful, maybe no one can

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For years, tech companies have promised AI will give everyone a capable personal assistant but delivered something more like a clueless intern. Over the past six months, that has started to change, thanks largely to the viral open-source AI agent platform OpenClaw. And among the top AI labs now chasing similar success, one seems particularly well-poised to make agents succeed at a large scale: Google.

At I/O 2026, Google announced new AI agents for gathering information, planning events, summarizing your inbox and calendar, and more. The agents can run continuously in the background, and the company claims they’ll seamlessly integrate into Google’s own tools and external ones. It’s also expanding its developer tools and revamping Search with additional generative AI capabilities. Some are rolling out this week, and some will be available in the coming months, but the company’s strategy seems clear: adopt some of the features that have helped...

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Microsoft's Maia 300 swaps raw compute for a 2.5x memory bandwidth gain as it moves to make in-house silicon its main AI engine while claiming a 40% efficiency bump — could going the Google route be the pin that pops the Nvidia AI bubble?

* Microsoft will make Maia its main inference engine at multi-gigawatt scale, following Google and Amazon into in-house silicon * Microsoft's upcoming Maia 300 trades a modest 36% compute gain for 2.5x Maia 200's memory bandwidth, betting on memory-bound decode, with production in 2027 * Hyperscalers supply just