Joachim Klement predicts small on-device models will undercut cloud AI spending
Overview
Investment strategist Joachim Klement argues that small language models running on local PCs and phones will replace large cloud models, leaving hyperscalers' data-centre spending unprofitable.
He says the AI bubble will burst in 2027 or 2028 and that the S&P 500 could fall from about 7,500 to about 5,000 by end-2027. He cites a May Stanford study comparing small models such as Qwen 3 and Gemma 3 with cloud models including ChatGPT 5 and Claude Sonnet 4.5. The report gives Klement's forecast and his reading of that study; it does not report results from the study itself beyond the models compared.
Written by AI from the articles below · updated Nov 10, 5:58 AM ET
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- AI SupremacyBlogJoachim Klement says small on-device language models could make cloud AI unprofitable
AIInvestment strategist Joachim Klement argues that small language models running on local PCs and phones will replace large cloud models, making hyperscalers' data-centre spending unprofitable. He says the AI bubble will burst in 2027 or 2028 and that the S&P 500 could fall to about 5,000 by end-2027, from about 7,500. He cites a May Stanford study comparing SLMs such as Qwen 3 and Gemma 3 with cloud models including ChatGPT 5 and Claude Sonnet 4.5.
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