The economic variable that may determine whether AI creates or destroys jobs — and why few people are measuring it
The question everyone asks about AI and jobs is the wrong question.
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Original investigations, profile features, and longer essays from the Silicon Canals editorial team. Pieces published here go through additional research and review.
When Vivek Raghavan saw ChatGPT for the first time, he faced a choice that defines the AI era for most of the world's population.
The question everyone asks about AI and jobs is the wrong question.
In late March 2026, Iran’s military leadership formally declared that AWS, Google, and Microsoft data centers hosting U.S. defense workloads constitute legitimate military targets under international law, and the statement landed with a weight that most people in the cloud industry still haven’t fully absorbed.
The Trump administration convened nearly two dozen evangelical leaders for private counsel in the wake of its strikes on Iran, according to an investigation by The Intercept.
The US economy added jobs last year and inflation fell to 2.4% in January, its lowest figure in months, and the White House declared the inflation crisis over.
Three years ago, when I moved to Singapore for wealth accumulation and business scaling, I was struck by the sheer physical presence of the data infrastructure around me.
Three years ago, when I moved to Singapore to focus on building a business, I assumed the most interesting AI story would keep unfolding in San Francisco and Shenzhen.
The cost of building a frontier AI model has crossed significant financial thresholds in training compute alone, and the countries that cannot pay that price are not waiting around for charity.
The DOJ and 40 state attorneys general have opened a landmark antitrust trial against Live Nation-Ticketmaster, alleging the company's 86% market share in primary ticketing constitutes an illegal monopoly — while Live Nation argues its actual share is 40% and its business simply brings people joy.