Category: AI
News and analysis on AI models, chips, infrastructure, applications and the business shifts behind machine intelligence.
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The AI Power Bottleneck Is Becoming a Market Story, Not Just an Engineering Problem
AI data centers are turning electricity, grid planning and power-cost politics into central variables for the next technology cycle.
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AI IPOs Could Force Investors to Reprice the Rest of the Tech Trade
The next wave of AI listings could make the market more selective, forcing capital away from weaker tech names and toward companies with clearer AI exposure.
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U.S.-China AI Safety Talks Could Become a New Layer of Tech Competition
A planned U.S.-China dialogue on AI safety shows that frontier AI competition is moving beyond chips and models into governance, cyber risk and strategic trust.
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Moonshot’s Hong Kong IPO Filing Shows China AI Is Entering Its Capital Markets Phase
Moonshot AI’s reported Hong Kong IPO filing is a signal that China’s foundation-model race is moving from product momentum into public-market scrutiny.
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AI Energy Management Is Becoming Critical as Data Centers Stretch the Grid
The AI boom is also an electricity story, and software may help manage the pressure.
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AI Drug Discovery Needs Better Benchmarks: Why Lab Reality Still Beats Demo Hype
Biotech AI is powerful, but the real test is what survives the lab.
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Autonomous Driving Is Becoming a Supervised AI Business, Not Just a Car Feature
The winner may be the company that manages operations better than anyone else.
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Edge AI in Factories: Why Predictive Maintenance Is Becoming a Killer Use Case
The most useful industrial AI may be the one that runs close to the machine.
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Enterprise Data Agents Are Coming: Why Dashboards May Not Be Enough Anymore
The next analytics shift is from looking at charts to asking systems to investigate.
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The New AI Budget Problem: How Companies Can Control Model Spending Before It Explodes
AI adoption is no longer blocked by interest. It is blocked by cost discipline.