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AI & Enterprise

Rising costs raise questions over big model-centric AI landscape

As corporate spending on AI rises rapidly, the big model-centric structure of the AI industry is showing signs of change. Developers have kept inference costs relatively low using invested funds, allowing companies to use advanced models below cost. With AI adoption spreading, more companies say costs are becoming a burden. Coinbase CEO Brian Armstrong forecast most work will shift to much cheaper models, a shift that could affect profitability at major AI firms.

AI & Enterprise

DeepSeek keeps prices 75% lower with GPT-level performance; memory efficiency seen as key

China\'s AI company DeepSeek is in talks to raise about 70 billion yuan while maintaining free model releases and a low-cost API strategy, with efficiency in computing and memory seen as its core edge. Analysts cited sharply lower memory use versus rivals and optimised cache design that cuts costs and improves inference speed even on lower-performance chips. The approach is also linked to constraints on access to Nvidia\'s newest AI chips.

AI & Enterprise

Chinese investors boost bets on AI and semiconductors despite economic slowdown

Stock market money in China is continuing to concentrate in the AI supply chain, including semiconductors, software and cloud, even as the broader economy slows. Investors are focusing on companies aligned with Beijing’s push for technological self-reliance, and performance gaps between mainland and Hong Kong markets reflect listing structures. Selective bets are also emerging among hardware and AI model companies. Price competition, highlighted by DeepSeek’s discounts and low API costs, is another key driver.