美国企业AI应用率出现回落,投行为何仍看好AI变现前景?
Di Yi Cai Jing·2025-09-15 08:02

Core Insights - UBS believes that the monetization potential of AI continues to expand despite signs of a temporary slowdown in AI adoption among U.S. businesses [1][6] - Concerns are raised regarding the sustainability of AI applications, particularly for companies heavily reliant on AI for high valuations [3][5] - The overall sentiment in the market indicates that while there are challenges, many industry leaders see AI gradually realizing its commercial value [5][6] Group 1: AI Adoption Trends - A recent survey indicates that the application of AI in large U.S. enterprises peaked at 15% in June but fell to approximately 11% by the end of August [1] - Despite the decline, the current usage rate of AI is still more than double that of the same period last year, particularly in sectors like finance, technology, and legal services [1] - The trajectory of AI development is viewed as normal within the context of technology cycles, with expectations for accelerated growth in service applications [1][6] Group 2: Challenges in AI Implementation - Many companies are losing patience with AI investments due to the lengthy time required to see measurable returns, with some projects taking up to a year to show results [4] - A study from MIT reveals a 95% failure rate in pilot projects for customized AI systems, leading to skepticism among enterprises regarding the effectiveness of AI tools [3][4] - Some companies have already canceled subscriptions to AI tools like ChatGPT, reflecting a shift in sentiment towards AI investments [4] Group 3: Financial Implications and Market Sentiment - Goldman Sachs highlights potential risks, suggesting that a reduction in capital expenditures by major tech firms could significantly impact AI-related revenues [5][8] - UBS projects that global AI capital expenditures could reach $780 billion from 2022 to 2025, with a potential increase to $500 billion by 2026 [7] - Despite concerns about overvaluation, current market conditions are supported by strong earnings growth, with tech giants' price-to-earnings ratios remaining below historical bubble levels [7][8]