> **来源：[研报客](https://pc.yanbaoke.cn)** # Summary of *Latin America in the Intelligent Age: A New Path for Growth* ## Core Content This white paper explores the potential of artificial intelligence (AI) to drive economic and productivity transformation in Latin America, emphasizing the need for strategic, collaborative action to build a competitive AI ecosystem. It outlines a comprehensive roadmap with 10 targeted actions, based on the World Economic Forum's Blueprint for Intelligent Economies, to ensure Latin America can harness AI's benefits effectively. ## Main Points ### 1. Economic Potential and AI Adoption - AI has the potential to significantly boost productivity and economic value in Latin America. - The region could see an annual increase in productivity of **1.9% to 2.3%** by 2030 and an additional economic value of **$1.1 trillion to $1.7 trillion**. - **Analytical AI** is expected to contribute **$0.6 trillion to $1 trillion**, while **Generative AI (GenAI)** could add **$0.5 to $0.7 trillion**. - Latin America has historically relied on workforce expansion rather than productivity gains for growth, making AI adoption a critical shift. ### 2. AI Competitiveness in Latin America - AI adoption is growing in various industries and countries, particularly in **customer service** and **software engineering**. - However, **only 23%** of Latin American organizations generate any economic value from AI, and **only 6%** report significant value creation. - AI strategies must be **integrated with broader business strategies** and focus on **reimagining core processes** rather than incremental improvements. - The **financial sector** is currently the most advanced in AI application, with examples of impactful use cases. ### 3. Challenges and Opportunities - **Talent availability** is a major challenge, as local organizations struggle to compete with multinational companies. - **Infrastructure development**, including **sustainable energy**, **high-speed connectivity**, and **scalable computing**, is crucial for AI deployment. - **Data quality and governance** remain critical issues, with inconsistent metadata and privacy concerns affecting data usability. - **Ethical and responsible AI development** is essential, including **transparency**, **inclusivity**, and **multilingual models** that reflect Latin American culture and language. - **Regional collaboration** is a key opportunity, especially in shared digital infrastructure and cross-border projects. ### 4. Strategic Actions - **Build sustainable AI infrastructure**: Develop clean energy sources and ensure robust national grids and water availability for cooling. - **Curate diverse, high-quality datasets**: Improve data accessibility, interoperability, and governance. - **Develop responsible AI models**: Promote local AI development and adaptation of global models to regional needs. - **Harness AI investment channels**: Encourage public-private partnerships, venture capital, and regional investment pools. ## Key Recommendations - **Enhance AI literacy and education**: Implement personalized and inclusive education programs to prepare the workforce for AI-driven economies. - **Improve connectivity**: Address the urban-rural digital divide through public-private initiatives and expand broadband access. - **Strengthen legal and ethical frameworks**: Establish clear regulations, privacy mechanisms, and standards for AI use. - **Foster regional collaboration**: Leverage shared languages and cultural values to create a unified AI strategy and infrastructure. - **Support AI entrepreneurship and innovation**: Encourage innovation ecosystems, open-source collaboration, and R&D initiatives. ## Conclusion - Latin America has a unique opportunity to lead in AI innovation and economic transformation, but this requires **strategic coordination**, **targeted investment**, and **inclusive talent development**. - Without decisive action, the region risks **prolonged stagnation** in economic growth, while coordinated efforts can position it for **sustained, future-ready development**. ## Key Data and Examples - **Connectivity**: Only **15–17%** of Latin American households had fixed broadband in 2024, with a **30 percentage point gap** between urban and rural areas. - **Energy**: **Brazil** generates **88% of its electricity from renewable sources**, but grid infrastructure remains a challenge. - **Investment**: Latin America accounts for **1.6%** of global AI investment despite representing **6.3%** of global GDP. - **Projects**: Initiatives like **Chile’s Humboldt cable**, **Peru’s National Broadband Plan**, and **OpenAI’s Stargate Argentina** are examples of progress in AI infrastructure. ## Future Outlook - The report emphasizes the need for **disciplined execution** and **articulated vision** to close structural gaps. - AI has the potential to **democratize growth** and **reduce inequality**, but this depends on addressing the **infrastructure, talent, and regulatory challenges**. - The **demographic dividend** is fading, making AI a vital tool for **sustainable development** and **economic resilience**.