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  1. Huxiu

    Under the impact of AI programming, programmer positions are polarizing; practitioners are turning to traditional industries and one-person companies

    In 2026, the capabilities of AI programming tools improved significantly. DHH, the creator of Rails, announced at the Rails World conference in September that the company would no longer use handwritten code as its regular development method, and nearly 75% of new code inside Google is already generated by AI. In the first half of 2026, global tech industry layoffs totaled more than 120,000, already matching the full-year scale of 2025, with most related to AI. Corporate hiring has shifted to paying for highly experienced experts or potential talent from prestigious universities; the value of programmers in the middle tier has been diluted, and some practitioners are turning to traditional industries such as pharmaceuticals, retail, and manufacturing to do AI, or starting businesses as one-person companies.

    In 2026, the capabilities of AI programming tools improved significantly. DHH, the creator of Rails, announced at the Rails World conference in September that the company would no longer use handwritten code as its regular development method, and nearly 75% of new code inside Google is already generated by AI. In the first half of 2026, global tech industry layoffs totaled more than 120,000, already matching the full-year scale of 2025, with most related to AI. Corporate hiring has shifted to pa

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  2. Huxiu

    Meta's 14GW ambition and Blackstone's abandoned 22 months: AI infrastructure shifts to competing on resources and speed

    Meta is expected to invest $145 billion in AI infrastructure this year, with installed capacity reaching 14GW, while Blackstone's Digital Gateway data center project, which persisted for 22 months, ultimately withdrew its appeal and was terminated. The article argues that the bottleneck of AI infrastructure has shifted from chips to power and time; globally, 57% of data center projects are delayed by more than 3 months, and only projects with ready power, customer contracts, and construction conditions can continue to attract capital investment.

    Meta is expected to invest $145 billion in AI infrastructure this year, with installed capacity reaching 14GW, while Blackstone's Digital Gateway data center project, which persisted for 22 months, ultimately withdrew its appeal and was terminated. The article argues that the bottleneck of AI infrastructure has shifted from chips to power and time; globally, 57% of data center projects are delayed by more than 3 months, and only projects with ready power, customer contracts, and construction con

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    #hot-signal#Industry news#English text is being prepared.#English text is being prepared.

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