SpaceX's historic IPO reveals a broader contest over who controls the physical infrastructure underpinning the next AI economy, with xAI at the center.

Bipartisan opposition has successfully blocked more than 75 AI data center build-outs worth $130 billion amid fears over soaring power and water costs.

Top enterprise software executives are leaving major firms for OpenAI, driven by AI disruption fears and larger compensation packages.

Meta announced layoffs of 10% of its workforce, about 8,000 employees, as it ramps up AI spending to $135 billion this year.

Tech sector layoffs rose significantly in March, with artificial intelligence cited as the leading reason for job cuts in 25% of announcements.

Oracle is laying off thousands of employees to free up cash flow as the company aggressively ramps up its spending on AI data centers and infrastructure.

Meta is reportedly planning to cut up to 20% of its ~79,000-person workforce—nearly 16,000 jobs—as Zuckerberg doubles down on a $600B AI infrastructure push.

OpenAI's $1.5M average stock compensation is highest of any tech startup in history as AI talent war intensifies with $830B valuation.

xAI faces leadership crisis as influential researcher Jimmy Ba becomes the second co-founder to exit within 48 hours following SpaceX merger.

Nvidia CEO Jensen Huang states that the tech industry's $660 billion AI infrastructure spending is sustainable, driven by sky-high demand and strong ROI.

New report reveals women in tech and finance sectors are at greater risk of AI-driven job displacement, with 119,000 clerical roles threatened by automation.

Venture capitalists and industry analysts warn that the AI bubble is beginning to show cracks, with sustainability concerns about OpenAI and questions about whether massive capital expenditures will deliver promised returns.

Pinterest announces workforce reduction of less than 15% to reallocate resources toward AI-focused roles and AI-powered product development initiatives.

Cisco Systems CEO Chuck Robbins warns the AI boom will be bigger than the internet, but the current market is likely a bubble with significant casualties.

Turing Award winner and former Meta AI chief Yann LeCun argues that the tech industry's singular focus on large language models (LLMs) is a flawed path that will not lead to true artificial general intelligence.

2026 becomes critical test year for AI sector as investors demand returns on $300B+ capital spending amid profitability concerns.