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AI revolution

Steady12 stories8 sourcesLast updated: 6/3/2026

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China and US in AI revolution race as tech rivals battle for global supremacy
NEWS
5/8/2026

China and US in AI revolution race as tech rivals battle for global supremacy

At a New York City ballroom late last month, a crowd of hi-tech luminaries gathered at an honours ceremony. The biggest draw for the assembled tech geniuses was Nvidia founder Jensen Huang, the superstar head of one of the world’s most valuable companies, set to receive the night’s top award. In some ways, engineers have been at the centre of every industrial revolution, Huang told the crowd, from steam to electricity to information technology. But this one, artificial intelligence (AI), will be...

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SCMP Economy
Singapore’s Lawrence Wong reassures workers over AI fears, vows job opportunities
NEWS
5/1/2026

Singapore’s Lawrence Wong reassures workers over AI fears, vows job opportunities

Singapore Prime Minister Lawrence Wong has sought to reassure workers amid concerns about the AI revolution, vowing that the city state will carve out fresh opportunities even as the new technology renders some jobs obsolete. In the annual May Day rally on Friday, Wong acknowledged the anxieties but urged workers and firms to build artificial intelligence capabilities and harness its benefits. Demand would rise for AI-savvy workers, and new doors would open as global companies expanded their...

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SCMP Economy
How Google's Secret Chip Empire Quietly Became AI's Biggest Competitive Weapon
Developing
Tech·4/29/2026AI summary

How Google's Secret Chip Empire Quietly Became AI's Biggest Competitive Weapon

This article reveals how Google secretly developed custom AI chips (TPUs) since 2016, positioning itself to compete with Nvidia when the AI revolution arrived. Despite appearing caught off guard by ChatGPT in November 2022, Google had been building its own silicon for nearly a decade. The company now offers TPU access through Google Cloud, with Meta signing on as a customer, causing Nvidia's stock to drop. Google recently announced TPU v8 with configurations for both training and inference workloads, representing its vision as a full-stack AI company.

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Times of India