GTCI: Global Talent Competitiveness Index Report 2020

GTCI released the "2020 Global Talent Competitiveness Index", analyzing global talent trends in the era of artificial intelligence.

1: The gap between talent-rich countries (mostly high-income countries) and the rest of the world is widening. A similar divide is also emerging in the field of artificial intelligence. AI talent is scarce and unevenly distributed across industries, sectors and countries. More than half of the population in developing countries lacks basic digital skills.

2: AI may also provide important opportunities for emerging markets to leapfrog. The GTCI’s longitudinal analysis highlights that some emerging countries (such as China, Costa Rica, and Malaysia) can become talent powerhouses in their respective regions, while others (such as Ghana and India) have significantly improved their ability to attract and retain talent.

3: Turning AI into a force for good requires a proactive, collaborative approach. AI can play a key role in providing solutions and helping humanity achieve the Sustainable Development Goals.

4: The deployment and development of AI in the workplace will require large-scale reskilling of the workforce, with workers needing training in adaptability, social intelligence, communication, and problem solving. Lifelong learning will play an increasingly important role in developing empathy, creativity, imagination, judgment, and leadership, skills that are likely to continue to be uniquely human activities. In order for humans and machines to work together effectively, developing converged skills will also require reskilling.

5: When introducing AI into businesses, communities or society at large, acceptability is a condition for sustainable development. It is also crucial to look ahead to the future of AI and jobs and emphasize the many possibilities of AI, rather than instilling more fear.

6: Cities are striving to become AI hubs and attract relevant talent. These achievements translate into different initiatives and strategies. Currently and in the future, more and more cities will become major testing areas for new AI tools, such as facial recognition, remote monitoring, and self-driving cars.

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