請用繁體中文，幫我摘要出重點：nse, only 20 percent of employees anticipate that AI will have a significant impact on their daily tasks in the next year, versus roughly two-thirds in media and entertainment (65 percent) and telecom, at 67 percent (Exhibit 13). What’s more, our survey shows that just 31 percent of social sector employees trust that their employers will develop AI safely. That’s the least confidence in any industry; the cross-industry average is 71 percent. 
Exhibit 12 Note: Not all industries represented in survey are shown; only industries in top quartile based on self-reported gen AI spend as % of revenue are represented. Economic potential was determined using the following mapping of industries listed in the McKinsey report The economic potential of gener- ative AI, (advanced industries: advanced manufacturing), (technology: high tech), (financial services: banking), (hardware engineering and construction: advanced electronics and semiconductors and construction). 1Includes biotechnology, healthcare equipment and services, life sciences, and pharmaceuticals. 2Includes aerospace and defense and automotive and assembly. Source: The economic potential of generative AI: The next productivity frontier, McKinsey, June 14, 2023 ; McKinsey US CxO survey, Oct–Nov 2024 (n = 118) Industry share of top-quartile gen AI spending, % Industry share of overall survey respondents, % 05 10 15 20 25 30 35 15 20 30 35 25 5 10 Web <2025> <Superagency> Exhibit <15> of <21> Representation in top quartile of gen AI spending vs overall survey representation Companies’ gen AI spend does not match the economic potential in their industries. McKinsey & Company Circle size = economic potential, $ billion Higher spend Share in top quartile is higher than share in overall survey Healthcare1 Technology Media and telecom Advanced industries2 Agriculture ABCDE Financial services Energy and materials Consumer goods and retail Hardware engineering and construction Travel, transportation, and logistics FGHIJ Lower spend Share in top quartile is lower than share in overall survey A B F G H J I C D E 
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Exhibit 13PRINTE <2025><Superagency>Exhibit <17 PRINT> of <21>US employee sentiment on gen AI, by sector, % of respondentsNote: Level of familiarity is de_ned as those who have “extensive experience (use several tools for complex tasks)” and “experts.” High trust is “Level 4” and “Level 5” on a scale of 1 to 5. Perceived accuracy is based on past gen AI usage in a workplace setting.Source: McKinsey US employee survey, Oct–Nov 2024 (n = 3,002); The economic potential of generative AI: The next productivity frontier, McKinsey, June 14, 2023 Employees in the social sector, aerospace and defense, and public sector are least optimistic about_gen AI.McKinsey & CompanyEngineering, construction,and building materialsTelecommunicationsMedia and entertainmentReal estateMetals and miningOil and gasChemicalsPharmaceuticalsand medical productsAutomotive and assemblyTravel, logistics,and infrastructureRetailTechnologyConsumer andpackaged goodsHealthcareBusiness, legal, andprofessional servicesAdvanced electronicsFinancial servicesAgricultureSocial sectorSemiconductorsAerospace and defensePublic sectorExpects workowsto change by 30%in the next yearComfortableusing gen AIresults in workPerceive gen AIresults as being70% accurateReceive supportfrom organizationon gen AIExtensivefamiliaritywith gen AIHigh level of trust thatemployer will safelyroll out gen AIBelieve gen AI willhave a net bene_tin next 5 years0%100% 
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Employees’ relative caution about AI in these sectors likely reflects near-term challenges posed by external constraints such as rigorous regulatory oversight, outdated IT systems, and lengthy approval processes.
There’s a lot of headroom in some functions
Our research finds that the functional areas where AI presents the greatest economic potential are also those where employee outlook is lukewarm. Employees in sales and marketing, software engineering, customer service, and，列出一個500字段落給我，盡可能不要遺漏任何資訊