Memory Price Burden Likely to Propagate to AI From Consumer Electronics -- Market Talk

Dow Jones

06/22

0353 GMT - The burden of a memory price hike will likely propagate from consumer electronics to AI, Bernstein analysts say in a research note. Conventional DRAM prices have surged in recent quarters, driven by a massive supply rellocation towards HBM to power AI computing. However, HBM price is locked by annual contracts and hasn't moved. Memory suppliers and GPU/XPU companies are negotiating for higher HBM prices for 2027 to narrow the profitability gap with conventional DRAM, the analysts say. GPU/XPU suppliers could further mark up HBM prices to protect their margins as well, they say. As a result, Bernstein estimates hyperscalers may need to hike their AI capex by 30% to cover higher memory costs. Given the competitive pressure and funding availability, hyperscalers however will unlikely slow down their AI investments, they add. (sherry.qin@wsj.com)

(END) Dow Jones Newswires

June 21, 2026 23:53 ET (03:53 GMT)

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Conventional DRAM prices have surged in recent quarters, driven by a massive supply rellocation towards HBM to power AI computing. However, HBM price is locked by annual contracts and hasn't moved. Memory suppliers and GPU/XPU companies are negotiating for higher HBM prices for 2027 to narrow the profitability gap with conventional DRAM, the analysts say. GPU/XPU suppliers could further mark up HBM prices to protect their margins as well, they say. As a result, Bernstein estimates hyperscalers may need to hike their AI capex by 30% to cover higher memory costs. Given the competitive pressure and funding availability, hyperscalers however will unlikely slow down their AI investments, they add. (sherry.qin@wsj.com) \n</p>\n<pre style=\"white-space: pre\">\n \n</pre>\n<p>\n  (END) Dow Jones Newswires\n</p>\n<p>\n  June 21, 2026 23:53 ET (03:53 GMT)\n</p>\n<p>\n  Copyright (c) 2026 Dow Jones &amp; Company, Inc.\n</p>\n</font>\n\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":"AGIX","symbol_name":"通用人工智能 ETF-AGIX","start_time":0,"source_url":"https://dowjonesnews.com/newdjn/logon.aspx?AL=N","article_id":"2645048021","we_media_id":"106","thumbnails":[],"rights":null,"url":"https://stock-news.laohu8.com/highlight/detail?id=2645048021","pubTimestamp":1782100380,"columns":[],"sourceInfo":null,"weMediaInfo":{"media_name":"Dow Jones","introduction":"Dow Jones publishes the world’s most trusted business news and financial information in a variety of media.","home_visible":0,"id":"106","head_image":"https://static.tigerbbs.com/150f88aa4d182df19190059f4a365e99"},"summary":"0353 GMT - The burden of a memory price hike will likely propagate from consumer electronics to AI, Bernstein analysts say in a research note. Conventional DRAM prices have surged in recent quarters, driven by a massive supply rellocation towards HBM to power AI computing. However, HBM price is locked by annual contracts and hasn't moved. Memory suppliers and GPU/XPU companies are negotiating for higher HBM prices for 2027 to narrow the profitability gap with conventional DRAM, the analysts say. GPU/XPU suppliers could further mark up HBM prices to protect their margins as well, they say. As a result, Bernstein estimates hyperscalers may need to hike their AI capex by 30% to cover higher memory costs. Given the competitive pressure and funding availability, hyperscalers however will unlikely slow down their AI investments, they add. ","collect":0,"end_time":0,"defaultTopTitle":"","property":[],"viewcount":null,"language":"en","relate_stocks":{"AGIX":"通用人工智能 ETF-AGIX","BK4588":"碎股","BK4168":"多种金属与采矿","AIPO":"Defiance AI and Power Infrastructure ETF","CHAT":"ROUNDHILL GENERATIVE AI & TECHNOLOGY ETF","HBM":"HudBay Minerals Inc","DRAM":"Roundhill Memory ETF","ARTY":"ISHARES FUTURE AI & TECH ETF"},"translate_title":"内存价格负担可能从消费电子产品蔓延到人工智能——市场讨论","themeId":null,"isJumpTheme":false,"ttsUrl":"https://static.tigerbbs.com/f3e45057c38647e5370aa066401bd131","symbols_score_info":{"ARTY":1.5,"AIPO":1.5,"DRAM":0.9,"AGIX":1.5,"CHAT":1.5,"HBM":0.69},"content_text":"0353 GMT - The burden of a memory price hike will likely propagate from consumer electronics to AI, Bernstein analysts say in a research note. Conventional DRAM prices have surged in recent quarters, driven by a massive supply rellocation towards HBM to power AI computing. However, HBM price is locked by annual contracts and hasn't moved. Memory suppliers and GPU/XPU companies are negotiating for higher HBM prices for 2027 to narrow the profitability gap with conventional DRAM, the analysts say. GPU/XPU suppliers could further mark up HBM prices to protect their margins as well, they say. As a result, Bernstein estimates hyperscalers may need to hike their AI capex by 30% to cover higher memory costs. Given the competitive pressure and funding availability, hyperscalers however will unlikely slow down their AI investments, they add. (sherry.qin@wsj.com) \n\n\n \n\n\n  (END) Dow Jones Newswires\n\n\n  June 21, 2026 23:53 ET (03:53 GMT)\n\n\n  Copyright (c) 2026 Dow Jones & Company, Inc.","kind":"highlight","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":true,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"isVideo":false,"video":null,"symbols":[],"gpt_button":0,"need_auth":true,"need_login_tip":false,"code":"91000000","status":"200"}}}