面向全民的人工智能：推动亚太地区劳动力向AI能力转型

AI for All: Building an AI-Ready Workforce in Asia-Pacific

Introduction

Artificial Intelligence (AI) is poised to significantly transform the APAC workforce and economy. With the potential to contribute up to USD 3 trillion to the region's GDP by 2030, AI necessitates proactive workforce readiness. The AI Just Transition emphasizes equitable access to education and skills, ensuring all workers can benefit. A comprehensive study identified key opportunities, challenges, and strategies for AI-driven workforce development.

AI Impact on Workforce

• Transformation, Adaptation, and Access Lenses:
  • Transformation: AI automates skills like data entry and digital marketing, creating new roles in generative AI, machine learning, and natural language processing.
  • Adaptation: Workers can leverage AI to improve efficiency and decision-making.
  • Access: AI tools can act as equalizers, addressing biases and improving opportunities.
• Skills Impacted: Over 160 distinct skills are affected, clustered into analytical, administrative, and other categories. Administrative roles are highly vulnerable to AI-driven automation.

Essential Skilling Clusters

Eight groups were identified as prioritizing targeted AI skilling:

1. Recent Graduates and Young Adults (15–29 years)
2. Job Seekers and Career Changers
3. People with Low Digital Literacy
4. Migrant and Informal Workers

• Geographic focus varies, with high prevalence in Vietnam, Indonesia, and India.
• Recent graduates and young adults showed high enthusiasm for AI, while mature workers expressed distrust and language barriers.

Supply and Demand

• The Asia-Pacific region hosts approximately 20,000 digital skilling initiatives led by private and public organizations.
• Key programs include:
  • Grow with Google: Free online training reaching 60 million people.
  • Japan Reskilling Consortium: Collaboration with Google and industry stakeholders.
  • FutureSkills Prime, India: Training 1.4 million learners in AI and digital skills.
• Supply gaps remain in accessibility, affordability, and targeting communities with unmet needs.

Design Principles for Effective AI Skilling

1. Ensure Access: Provide affordable, multilingual, and flexible training.
2. Be Targeted: Recruit community-specific groups to bridge skill gaps.
3. Measure Outcomes: Track job placement rates and feedback for continuous improvement.
4. Foster Job-Readiness: Focus on practical AI skills and certifications.
5. Include Ethical Lens: Incorporate ethical AI training and accessibility.
6. Enable Continuity: Establish mentorship and networking support.
7. Leverage Collaboration: Partner with governments, NGOs, and industry for ecosystem-wide skilling.

Conclusion

An AI Just Transition is essential for sustainable workforce development. By adhering to the outlined design principles and fostering collaboration, APAC can harness AI's potential to create an inclusive, skilled workforce. Policymakers, educators, and businesses must work together to ensure equitable access and maximize benefits for all.