浙商银行 26届秋招第二批 第一部分 暂未整理答案

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The global economy is witnessing an unprecedented investment boom in artificial intelligence, with tech giants pouring billions into AI infrastructure. This surge of capital is fundamentally reshaping industries and is often compared to historical transformations like the railroad boom. While many analysts believe this spending will significantly boost GDP growth, a growing number of experts are beginning to question the sustainability of this trend, asking if we are in a massive AI bubble. The core issue is whether the excitement has gotten too far ahead of the technology's near-term 1 . A boom becomes dangerous when the resources it demands start to bend the whole economy around it. The current AI boom, for instance, has huge energy requirements, with AI's share of global electricity consumption projected to more than double by 2030. Moreover, if the expected returns do not 2 , the massive investments could lead to significant economic instability. This risk is amplified by the fact that the financing structure of the AI revolution is largely private, which historically has been more 3 to speculative excess compared to projects with greater public investment. Beyond the financial risks, there are profound social implications to consider. While AI promises to increase corporate productivity and cut costs, these efficiencies could trigger sweeping job upheaval. Some venture capitalists predict that by 2030, a large percentage of existing jobs could be performed by AI, potentially leading to large-scale 4 . As this technological wave continues, stakeholders must carefully balance the pursuit of innovation with the need for economic stability and shared prosperity to ensure the benefits are 5 distributed. 6. 1