全球企业生成式AI应用现状调研报告-英-34页_15mb

Summary of Deloitte's State of Generative AI in the Enterprise, Quarter One 2024

Based on the inaugural quarterly survey of 2,835 business and technology leaders, key findings include:

1. High Sentiment and Short-Term Transformations

• 62% of leaders express excitement about generative AI (GenAI), with 39% feeling trust and 30% uncertainty.
• 79% expect substantial transformation within 3 years; 31% anticipate changes in less than a year.
• Leaders expect GenAI to drive efficiency (56%), cost reduction (35%), and productivity (79%).

2. Expertise High but Challenges Persist

• 44% self-rate their organization's GenAI expertise as high or very high.
• Leaders using GenAI report higher trust and faster expected transformation, but also greater pressure and threat perception.
• Talent/Workforce: 72% expect talent strategies to change due to GenAI; 47% feel unprepared for workforce education/governance.

3. Key Business Applications

• Tactical Benefits: Efficiency (56%), Cost Reduction (35%), Productivity (91%).
• Strategic Benefits: Innovation (29%), Growth (19%)—less prioritized currently.
• Adoption Focus: Productivity tools (71%), standard apps (68%), enterprise platforms (61%), public LLMs (56%).

4. Top Risks and Concerns

• Governance/Regulation: 72% support increased regulation; leaders cited risk management (33%), explainability (31%), IP issues (35%).
• Societal Impacts: 52% expect GenAI to centralize power; 51% expect increased inequality.
• Talent Challenges: 47% lack technical talent/skills; Only 22% monitor GenAI talent needs.

5. Calls for Action

• Regulation/Governance: 78% support government regulation; 72% want more global collaboration.
• Leadership Imperatives: Build expertise (platform approaches), strategically reinvest gains, balance talent/workforce, prioritize governance/human oversight.

Key Takeaway: Leaders feel GenAI transformative but face significant uncertainties regarding societal/potential risks, talent gaps, and governance challenges.