【BCG】2024年CEO指南-最大化人工智能的价值潜力_22页_796kb
报告摘要
CEO's Guide to Maximizing Value Potential from AI in 2024 Summary
Core Content
This document outlines a CEO's guide to leveraging AI and Generative AI (GenAI) to drive business value in 2024. It emphasizes that AI is at an inflection point, where companies that adopt it effectively are gaining a competitive edge. The guide highlights three strategic plays—DEPLOY, RESHAPE, and INVENT—as the foundation for successful AI transformation.
Main Strategic Plays
1. DEPLOY
- Objective: Boost workforce productivity by 10–15% and improve employee satisfaction.
- Focus: Utilizing off-the-shelf AI tools to streamline everyday tasks.
- Examples:
- Meeting summaries
- Code development (e.g., GitHub Copilot)
- Calendar management
- Invoice reconciliation
- Key Outcome: Preparing the organization for broader AI adoption and innovation.
2. RESHAPE
- Objective: Improve efficiency and effectiveness across critical functions by 30–50%.
- Focus: Re-engineering workflows and transforming how functions operate.
- Examples:
- Design and engineering
- Marketing
- Customer service
- Technology
- Key Outcome: Reimagining business processes and driving end-to-end transformation.
3. INVENT
- Objective: Unlock new revenue streams and business models.
- Focus: Creating AI-native offerings and enhancing customer value propositions.
- Examples:
- Hyper-personalized customer experiences
- AI-powered services and products
- Data monetization
- Insights and innovation platforms
- Key Outcome: Innovating ahead of disruption and setting new industry standards.
Key Principles
10-20-70 Rule
- 10%: Focus on algorithms and model development.
- 20%: Invest in technology and data infrastructure.
- 70%: Prioritize people and processes, including change management and culture shifts.
Key Challenges
| Category | % of Executives | Challenges |
|---|---|---|
| Algorithms | 10% | Model accuracy, security, and compliance |
| Tech & Data | 20% | Integration with legacy systems, data quality, cost constraints |
| People & Processes | 70% | ROI prioritization, AI literacy, talent shortages, resistance to change |
Strategic Imperatives for CEOs
- Empower C-suite: Ensure leadership is informed and aligned with AI goals.
- Build or Partner: Decide whether to build, buy, or partner for AI models.
- Integrate with Strategy: Align AI initiatives with overall business strategy.
- Upskill Workforce: Prepare employees for AI-driven changes.
- Establish Governance: Create an AI delivery office to manage and measure impact.
- Invest in Foundations: Develop capabilities in technology, data, and responsible AI (RAI).
Value Outcomes
- Productivity: 10–15% gains via DEPLOY.
- Efficiency: 30–50% improvements in critical functions via RESHAPE.
- Revenue Growth: New business models and products via INVENT can drive significant top-line growth.
End-to-End Transformation
- The guide recommends combining the three strategic plays to achieve a full enterprise transformation.
- Start with pilots and MVPs to prove value before scaling.
- Ensure alignment across all functions and departments.
Recommendations for Getting Started
- Assess AI maturity: Use BCG's AI Maturity Assessment and Workforce Diagnostic.
- Identify value opportunities: Select 3–5 functions for AI transformation.
- Build a business case: Focus on ROI and long-term value creation.
- Invest in foundations: Develop tech, data, and responsible AI capabilities.
- Launch AI governance: Establish a structure for controlled experimentation and measurement.
- Upskill and engage: Promote AI adoption and culture change through training and communication.
Key Contacts
- NAMR: Dylan Bolden, Vladimir Lukic, David Martin, Amanda Luther, Matthew Kropp, Sesh Lyer, Julie Bedard, Beth Viner, Djon Kleine, Steve Mills, Dan Martines, Renee Laverdiere, Tauseef Charanya
- EMESA: Nicolas De Bellefonds, Jessica Apotheker, Marc Schuuring
- APAC: Jeff Walters, Romain de Laubier, Dan Sack, Andrej Levin, Marcus Wittig, Julian King, Aparna Kapoor, Robert Xu, Akira Abe, Nipur Kalra
Conclusion
AI is now a critical lever for business transformation and value creation. CEOs must act swiftly, invest in the right capabilities, and lead cultural and operational changes to fully harness AI's potential. The 10-20-70 rule underscores the importance of people and processes in achieving long-term success with AI.
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