人工智能泡沫即将破灭，但下一个泡沫已在酝酿之中

Core Viewpoint - The article argues that the current AI bubble is nearing its breaking point, with significant investments failing to yield substantial returns, and the industry is now pivoting towards quantum computing as the next speculative opportunity [1][4][10]. Investment Trends - Nearly half of global private investment is flowing into AI, which has been a major driver of the recent growth in the S&P 500 index [1]. - Venture capital and investment banks have spent hundreds of billions on AI in recent years, but the technology is reaching its limits and profitability remains elusive [4]. Performance and Utility of AI - A report from MIT indicates that 95% of AI pilot projects have not improved company profits or productivity, with many AI tools actually hindering developer efficiency [3]. - The recent release of ChatGPT-5, which required significantly more resources than its predecessor ChatGPT-4, showed only marginal performance improvements [2]. Financial Viability - OpenAI's subscription model, priced at $200 per month, is reportedly leading to substantial losses, suggesting that a price point closer to $2000 would be necessary for financial sustainability [3]. Market Sentiment and Future Outlook - Major investors, including Goldman Sachs, are warning that the AI bubble is likely to burst soon, which could have widespread repercussions for companies involved in AI infrastructure [4]. - The article suggests that the impending collapse of the AI bubble will impact all stakeholders in the tech and finance sectors [5]. Quantum Computing as a New Trend - Tech giants like Google, Microsoft, and Amazon are developing their own quantum computers, with significant investments flowing into smaller quantum computing firms as well [7]. - There is skepticism about whether quantum computing can genuinely solve the challenges faced by AI, as the necessary algorithms for practical applications are still largely undeveloped [9]. Challenges in Quantum Computing - The hardware for quantum computing is still years away from being fully operational, and the software required to leverage its capabilities is complex and not yet available [8][9]. - The notion that quantum computing could revolutionize AI is questioned, as current scientific understanding suggests that the potential benefits may be overstated [10].