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    AI News·13 Oct 2026·via Forexlive

    Is the AI bubble bursting?

    Concerns are emerging about the AI sector, with OpenAI’s annualized revenue reportedly reaching $50 billion by late September, $20 billion below prior expectations. This has contributed to selling pressure on tech and semiconductor stocks, including in Asian markets, amidst warnings about financing AI infrastructure and increasing competition from Chinese chipmakers like CXMT.

    Nexa's Summary

    The current discussion around an 'AI bubble' is influenced by rising interest rates and significant debt tech companies are incurring for AI infrastructure. While some, like Ray Dalio, express caution, the article notes that substantial revenue growth and existing demand support current investments. OpenAI's revenue figures, though considerable, missed earlier projections, contributing to market pressure on major tech and chip firms.

    However, the article distinguishes this period from a classic speculative bubble. Companies such as Microsoft Azure and AWS are reporting robust growth in AI infrastructure demand, indicating that investments are driven by actual orders and contract backlogs rather than unproven future demand. Tech giants also appear to maintain high profitability and sufficient cash to fund these record investments without jeopardizing their financial stability.

    Despite these factors, risks persist. The substantial investments in AI infrastructure have yet to fully pay off, and high valuations, exemplified by the upcoming Anthropic IPO's projected valuation over $2 trillion, leave the sector vulnerable to disappointments in growth. This vulnerability is a key consideration for investment strategies. The upcoming earnings season, with reports from ASML and TSMC, will offer further insight into the AI sector’s momentum.

    The spread of selling pressure to Asian semiconductor and tech stocks, alongside Chinese chipmaker CXMT’s progress in memory architecture, highlights regional competitive dynamics. Broadcom’s CEO also cautioned that some AI investors may not fully understand their bets, and that financing AI infrastructure could become a significant challenge. These factors suggest a complex financial environment for AI, even with underlying demand.

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