Sri Lanka Scores O.44 In AI Preparedness Index

COLOMBO (News 1st); The International Monetary Fund has mapped the World's Readiness for Artificial Intelligence.

The new AI Preparedness Index Dashboard tracked 174 economies based on their digital infrastructure, human capital, labor policies, innovation, integration and regulation.

Sri Lankas scored 0.44 in the AI Preparedness Index, based on the selected criteria, while many developed countries scored over 0.8 in the index.

A research by the International Monetary Fund has shown how AI is poised to reshape the global economy.

It could endanger 33 percent of jobs in advanced economies, 24 percent in emerging economies, and 18 percent in low-income countries.

But, on the brighter side, it also brings enormous potential to enhance the productivity of existing jobs for which AI can be a complementary tool and to create new jobs and even new industries.

Most emerging market economies and low-income countries have smaller shares of high-skilled jobs than advanced economies, and so will likely be less affected and face fewer immediate disruptions from AI.

At the same time, many of these countries lack the infrastructure or skilled workforces needed to harness AI’s benefits, which could worsen inequality among nations.

Under most scenarios, AI will likely worsen overall inequality, a troubling trend that policymakers can work to prevent. To this end, the dashboard is a response to significant interest from our stakeholders in accessing the index. It is a resource for policymakers, researchers, and the public to better assess the AI preparedness and, importantly, to identify the actions and design the policies needed to help ensure that the rapid gains of AI can benefit all.

AI can also complement worker skills, enhancing productivity and expanding opportunities. In advanced economies, for example, some 30 percent of jobs could benefit from AI integration. Workers who can harness the technology may see pay gains or greater productivity—while those who can’t, may fall behind. Younger workers may find it easier to exploit opportunities, while older workers could struggle to adapt.