AI's rapid advancement creates job uncertainty, destroying some roles while creating others. Historical parallels show technological disruption, but AI's unique implications necessitate globally agreed regulations for safe market entry, similar to drug testing.
Zhipu AI released GLM-5.2 with a 1-million-token context window, significantly undercutting Western AI models on price. The company's Hong Kong-listed stock surged by up to 48% following the announcement.
Nvidia is aggressively hiring overseas talent through H-1B visas, securing around 1,200 positions in the first half of fiscal 2026, an increase from the previous year. This contrasts with other tech giants like Google and Amazon, which have reduced foreign hiring amid immigration uncertainty and cost-cutting measures. CEO Jensen Huang emphasizes immigration's importance to US technological leadership.
UK companies are exaggerating their AI capabilities to capitalize on the technology's buzz, according to PR firms. Bosses in low-tech industries are demanding their businesses be pitched as AI specialists, leading to 'AI washing' and a general skepticism from journalists.
JPMorgan Chase CEO Jamie Dimon said artificial intelligence will reduce jobs at the bank, but the company will hire more AI experts and retrain existing employees. He also criticized New York City Mayor Zohran Mamdani's hard-left policies and supported Jeff Bezos' call for lower taxes on low earners.
The South Korean Ministry of National Defense announced it will recruit 'specialist technical personnel' in science and technology, including AI, for the Army, Navy, and Air Force. Selected individuals will be assigned to research and technical units.
JP Morgan CEO Jamie Dimon stated AI will likely reduce some banking jobs, with the bank hiring more AI specialists and fewer traditional bankers. He believes this shift can be managed through employee turnover and retraining, rather than mass layoffs.
