Why composite AI in the Intelligent Age leads us to a people-centred future

As we enter the Intelligent Age, a period defined by interconnected technologies and adaptive artificial intelligence (AI) systems, it is clear that AI's future will be collaborative.

The rise of composite AI – systems built from multiple specialized AI models working together to solve complex problems – marks a shift from isolated AI applications to integrated, multi-modal solutions.

This approach highlights the importance of combining regional strengths, ethical standards and diverse AI capabilities to address pressing global challenges such as climate change, economic inequality and public health.

Composite AI can be a foundation for this new era, fostering collaboration across borders and industries. Focusing on this unique approach can harness a more collaborative era in which we put people first rather than technology.

To succeed in the Intelligent Age, collaboration must be at the forefront. No single organization, country or industry can meet the full spectrum of needs in this complex landscape. Instead, the focus must shift toward creating partnerships that blend complementary strengths and foster interoperability and equally distributed control.

Composite AI provides a framework for building powerful systems that are responsive to country—and sector-specific demands. Unlike singular AI models that focus on specific tasks, composite AI is designed to work together. It combines specialized AI capabilities—such as language, vision, and data science models—into a cohesive system capable of addressing complex, multidimensional problems.

This approach allows for adaptability in various contexts, accommodating different languages, cultures and regulatory frameworks. For instance, a composite AI system designed for healthcare could integrate image recognition for diagnostics, natural language processing for patient records and predictive analytics for treatment recommendations.

This approach has three primary benefits:

Building a global AI ecosystem based on collaboration requires a framework that fosters shared values, cross-border alliances and mutual respect for regional strengths.

Composite AI, by design, encourages collaboration by allowing different regions and industries to contribute their expertise, whether in regulatory insight, technological innovation or ethical governance.

Countries and regions can leverage their strengths to contribute to the global AI landscape in several ways:

This collaborative approach enhances AI capabilities and strengthens the global economy by encouraging sustainable, responsible innovation. Industries and regions that share expertise and resources are better equipped to tackle challenges collectively, achieving results that would be unattainable in isolation.

As AI becomes more integrated into our lives, ethical standards and trust will be paramount. Composite AI presents an opportunity to build systems that adhere to ethical principles while remaining adaptable to the varied regulatory environments of different regions.

Creating shared standards for composite AI is essential for fostering global trust. These standards should emphasize the following:

Incorporating ethics also serves underrepresented communities by allowing adaptability to their specific needs. However, it would require a commitment to diversity in AI design, ensuring that solutions are inclusive and culturally relevant.

Collaboration means creating AI systems that uplift all regions and demographics, fostering an inclusive approach to technology that prioritizes equity.

The Intelligent Age envisions a future where cooperation is the driving force behind AI development. Investing in composite AI and global alliances can build an intelligent, inclusive, and resilient future. To realize this vision, we must prioritize:

The Intelligent Age represents a shift towards a more interconnected, collaborative approach to AI.

Composite AI, with its diverse capabilities and regional adaptability, offers a powerful framework for addressing complex global challenges. By embracing collaboration, shared ethical standards and localized intelligence, we can shape an AI future that is innovative, trustworthy, inclusive and aligned with the values of diverse communities worldwide.