The AI Boom Just Hit Wall Street, Factories, Google, and Data Centers
The AI race is getting expensive. This week, IBM lost a quarter of its value, tech stocks fell, investors started questioning AI spending, China delivered another open-weight warning, workers pushed back against humanoid robots, and U.S. communities resisted new data centers.
In this episode 10 of AI Edge by Mahesh Devalla, we look at how the AI boom is moving from excitement to pressure.
The question is no longer who can spend the most on AI. It is who can turn that spending into real results.
Highlights from this episode
IBM loses 25% as Wall Street worries about AI infrastructure spending
Tech stocks fall as investors question whether AI spending will produce profits fast enough
China’s Kimi K3 delivers another DeepSeek-style warning to Silicon Valley
Hyundai workers demand job protections before humanoid robots enter factories
Google reportedly delays Gemini 3.5 Pro while rivals keep releasing new models
Europe forces Google to give AI rivals better access to Android and Search
U.S. communities push back against AI data centers over power, water, pollution, and land use
Apple briefly passes Nvidia during the AI stock selloff
Mira Murati launches Inkling, an open-weight model from Thinking Machines Lab.
Quick takeaway
The AI conversation is getting more serious. Companies are spending billions on chips, data centers, models, and talent. Investors want returns. Workers want protection. Communities want answers. Regulators want control. Competitors from China are proving that cheaper AI can still create major pressure.
The next phase of AI will not be won by announcements alone.
It will be won by companies that can control costs, ship useful products, protect workers, manage infrastructure, and prove that AI can create real business value.
Watch the full video below.
For more AI news, business insights, and leadership analysis, please follow Mahesh Devalla.