麦肯锡全球AI调研：企业AI部署现状(下篇)

Core Insights - The majority of respondents (38%) from companies that have deployed AI expect that generative AI will not significantly impact employee numbers in the next three years, with the financial services sector being the only one where respondents anticipate a reduction in workforce size [1] - There is a general consensus among C-level executives, senior managers, and middle managers regarding the expected impact of generative AI on employee numbers, although C-level executives are more inclined to believe that overall employee numbers will increase when considering the combined effects of analytical and generative AI [1] - Generative AI is expected to reduce employee numbers primarily in customer service, field service, supply chain, and inventory management, while IT and product development roles are expected to see an increase in workforce [1] AI Adoption Trends - AI usage continues to rise, with 78% of respondents indicating that their companies have deployed AI in at least one business function, up from 72% at the beginning of 2024 and 55% a year ago [6] - The IT, marketing, and sales departments are the most common areas for AI deployment, with IT showing the most significant growth in usage, rising from 27% to 36% in the past six months [6] - More than half of respondents reported that their companies have deployed AI across multiple functions, with an average of three functions utilizing AI, indicating a growth trend [9] Generative AI Application - As of early 2024, 71% of respondents reported that their companies regularly use generative AI in at least one business function, an increase from 65% at the beginning of the year [12] - Generative AI is most commonly applied in marketing and sales, product and service development, service operations, and software engineering, which are identified as areas with the highest potential value [12][16] - The deployment of generative AI varies by industry, with media and telecom companies favoring its use in service operations, while tech companies focus on software engineering [12] Executive Engagement - C-level executives are increasingly using generative AI, with 53% reporting frequent use in their daily work compared to 44% of middle managers [16] - This trend indicates a growing acceptance and integration of generative AI at higher management levels across various industries [16] Value Creation and Cost Reduction - More respondents indicated that generative AI applications have led to revenue growth in business units, reflecting a trend similar to that observed with analytical AI [27] - A significant number of respondents reported that generative AI has contributed to cost reductions in various business functions, with many companies experiencing noticeable cost optimization [31] - However, over 80% of respondents noted that generative AI has not yet significantly impacted overall EBITDA, indicating that while cost savings are evident, financial performance improvements are still limited [31][38]