Qualcomm and Amazon sign $60B AI chip deal
Qualcomm and Amazon's $60 billion chip partnership
Qualcomm and Amazon have entered a long-term partnership that could see Amazon purchase up to $60 billion worth of Qualcomm's AI data-center chips and related products. The deal represents a major commitment to specialized AI hardware and strengthens Qualcomm's standing in the competitive high-growth market for data-center chips, while securing a critical part of the supply chain for Amazon's future AI infrastructure needs.
Microsoft plans to triple data center capacity
Microsoft is reportedly planning a major expansion of its global data center network, with the goal of more than tripling its capacity from approximately 12 gigawatts to over 38 gigawatts by 2032. The investment is a direct response to a computing shortage that has forced the company to turn away some AI and cloud business. AI-dedicated capacity is expected to grow from around 2 gigawatts today to constitute about one-third of the expanded total, highlighting the immense infrastructure demands of the AI sector.
Nvidia acquires Hugging Face for $12.93 billion
Nvidia has acquired Hugging Face, a prominent platform for AI model sharing and natural language processing, in a deal valued at $12.93 billion. This acquisition significantly expands Nvidia's ecosystem beyond its core hardware business, integrating a key software platform and a large developer community. The move reflects a broader trend of major technology firms consolidating capabilities across both AI hardware and software to build a more dominant position in the market.
Microsoft's AI agents cut planning by 75%
Microsoft has successfully deployed 111 AI agents into its cloud supply-chain workflows, achieving substantial operational efficiencies. Between April and August 2026, the implementation reduced the average monthly planning cycle from 10 business days to under 2.5 days—a 75% reduction. The time required for human-validated explanations of demand-plan investigations also fell sharply, from five to seven days to just a few hours, demonstrating how AI can accelerate complex internal business processes.
AI exposure linked to faster US wage growth
An analysis of millions of US job postings by Indeed Hiring Lab has found that advertised salaries in occupations most exposed to AI are growing more quickly than in less-exposed jobs. This wage growth gap has widened since 2024. The research also revealed a significant shift in seniority; between 2021 and 2026, the share of entry-level postings in these roles fell from 29% to 10%, while the share of senior roles surged from 22% to 47%, indicating a rising demand for experienced professionals in AI-impacted fields.
AI reshaping jobs beyond official roles
New research from OpenAI indicates that employees are increasingly using AI to perform tasks outside their traditional job descriptions. An analysis of over 1.5 million work-related ChatGPT messages showed that these "cross-occupation" tasks are becoming a regular feature of workers' AI usage. This suggests that AI is organically reshaping jobs by broadening employees' responsibilities, often before any formal changes are made to their official titles or roles.