AI GUIDE FOR BOARDS IN SINGAPORE
Section V: Organisational Resilience and Capability
Chapter 11: Talent and Technology Sustainable AI adoption requires a strong orchestration of people, governance and technology.
Boards play a critical role in ensuring that organisations develop the talent and capabilities necessary to deliver value responsibly.
Organisations rarely succeed with AI through technology investment alone.
11.1 Building AI Talent
Board considerations • Does the organisation have the talent and capability required to execute its AI strategy? • Is AI literacy developed across management and leadership teams? • Are critical AI capabilities overly
Demand for AI talent signi cantly exceeds supply globally. Organisations therefore need a deliberate strategy to develop and access the capabilities required to execute their AI ambitions.
11.1.1 e Build-Buy-Partner framework
dependent on a small number of individuals or external providers?
Most organisations will need a combination of three complementary approaches, also known as e Build-Buy-Partner Framework : • Build: Develop internal capability through upskilling and reskilling. • Buy: Recruit and augment specialised talent. • Partner: Leverage the external ecosystem to accelerate capability development.
• Is management investing su ciently in workforce transformation as AI adoption increases? Sustainable AI capability requires coordinated investment across people, processes, governance and technology.
The Build-Buy-Partner Framework
PARTNER Leverage external ecosystems to accelerate capability development
BUILD Develop internal capability through upskilling and reskilling
BUY Recruit specialised talent where critical expertise is required
Key actions
Examples of Key Roles
Potential Partners
Data literacy across the workforce
Data scientists
Technology providers
AI fluency among management and leadership Technical skills in data science, machine learning, and AI engineering Business capability to integrate AI into operational and strategic decision-making
Universities and research institutions
Machine learning engineers
Start-ups
AI architects
AI governance and risk specialists
Consulting firms and system integrations
Responsible AI practitioners
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