【世界经济论坛】2024年高排放行业：低碳供应商面临的挑战和机遇报告_76页_6mb

Summary of "Harnessing the Value of Generative AI" (2nd Edition)

Core Content

This report highlights the growing adoption and investment in generative AI across large organizations globally. It outlines the current state of generative AI implementation, the benefits realized, and the strategic shifts that are taking place as a result. The report also emphasizes the need for responsible use and environmental sustainability in the deployment of generative AI.

Main Points

• Increased Investment:

  • 80% of organizations have increased their investment in generative AI since 2023, with no organization decreasing investment.
  • 24% of organizations have integrated generative AI into some or most of their operations, up from 6% in 2023.
  • Larger organizations (revenue > $20 billion) are leading the adoption, with 49% implementing generative AI across functions/locations.
  • The average investment for generative AI is $110 million per organization in 2024.

• Pervasive Integration Across Functions:

  • Generative AI is being adopted across all organizational functions, including IT, sales, marketing, R&D, finance, and logistics.
  • In the IT function, adoption has increased from 4% in 2023 to 27% in 2024.
  • Companies like Hitachi and Rockwell Automation are using generative AI to automate coding and improve operational efficiency.

• Employee Use and Policies:

  • 97% of organizations allow employees to use generative AI in some capacity.
  • 54% of organizations have specific guidelines for AI use, while only 3% enforce a complete ban.
  • 7% of organizations allow unrestricted use, which may pose risks.
  • Unauthorized use is still common, with half of the organizations with restrictions reporting such activity.

• Use Cases Across Sectors:

  • Aerospace: Airbus uses generative AI to enhance aircraft manufacturing with AI assistants.
  • Automotive: Toyota and Mercedes-Benz use generative AI for product design and customer service.
  • Consumer Products: General Mills and PepsiCo leverage AI for customer service and marketing.
  • Energy: BP uses generative AI to improve employee productivity.
  • Financial Services: Morgan Stanley and Visa are using AI to enhance customer experience and financial advisory services.
  • High Tech: BrainBox AI uses AI to reduce carbon footprints in commercial buildings.
  • Industrial Manufacturing: Schneider Electric and Rockwell Automation integrate AI into finance and coding processes.
  • Logistics: UPS automates customer interactions with its MeRA system.
  • Pharmaceutical and Biotech: Insilico Medicine and Moderna use AI for drug discovery and vaccine development.
  • Public Sector: The California Department of Transportation and the State of Pennsylvania are using AI to improve citizen services and employee operations.

• Benefits Realized:

  • Organizations report an average 7.8% improvement in productivity and 6.7% improvement in customer engagement and satisfaction.
  • These benefits are expected to grow as more organizations implement generative AI at scale.

• AI Agents as a New Frontier:

  • AI agents are emerging as a transformative technology that can drive automation and productivity.
  • 82% of organizations plan to integrate AI agents within 1–3 years.
  • AI agents are trusted for tasks such as email generation, coding, and data analysis, but guardrails are necessary to ensure transparency and accountability.

• Environmental Sustainability Considerations:

  • Organizations are beginning to monitor environmental impacts of generative AI, such as GHG emissions, electricity usage, and water consumption.
  • Only 36% of organizations are currently tracking carbon emissions from generative AI use.
  • 54% of organizations are developing guidelines for responsible AI use, and 47% are transitioning to more energy-efficient hardware.
  • Fewer organizations are taking steps like investing in renewable energy or optimizing training algorithms.

Key Recommendations

• Establish a robust framework for data governance and management.
• Strengthen the data platform to ensure reliable outcomes.
• Cultivate expertise through strategic training and talent development.
• Deploy a generative AI platform to manage use cases at scale.
• Fortify against cybersecurity threats.
• Embrace emerging trends such as AI agents to boost competitiveness and innovation.

Conclusion

The report underscores the rapid adoption and investment in generative AI, with organizations across all sectors recognizing its transformative potential. While benefits are already being realized, there is a need for careful scaling, ethical use, and environmental responsibility to ensure sustainable and effective implementation.