麦肯锡AI应用现状调研：普及率极高，但变现率极低

Core Insights - There is a significant gap between market hype around AI and actual business implementation, with most companies still in the "pilot purgatory" phase and unable to scale AI deployment effectively [1][2] - Only 39% of surveyed companies reported a substantial impact of AI on their EBIT, with most contributions being less than 5% [1][6] - High-performing companies, representing only 6% of the surveyed, are not merely purchasing software but are fundamentally restructuring workflows and pursuing growth [1][7] Group 1: AI Adoption and Implementation - 88% of companies report regular use of AI in at least one function, up from 78% the previous year, indicating widespread adoption but shallow implementation [2] - 62% of respondents are testing intelligent agents, but only 23% have initiated scaled applications in at least one function [3] - Companies with revenues over $5 billion are closer to scaling AI, with nearly half having entered this phase, compared to only 29% of companies with revenues under $1 million [5] Group 2: Financial Impact and Performance - Despite 64% of respondents believing AI drives innovation, its actual impact on financial performance is minimal [4] - The majority of companies are still in the investment phase, with over 60% experiencing little to no financial benefit from AI initiatives [6] - High-performing companies invest significantly more in AI, with one-third allocating over 20% of their digital budget to AI, compared to nearly 5% for other companies [10] Group 3: Workforce and Management Dynamics - There is a growing expectation of workforce reductions, with 32% of respondents anticipating a decrease in employee numbers over the next year [10] - High-performing companies are three times more likely to fundamentally reshape workflows compared to their peers [10] - The demand for software and data engineers remains strong, indicating a structural talent shortage in the industry [10]