Ghana among top emerging markets ready for AI adoption, says IMF Report
On Tuesday, the IMF delivered its artificial intelligence Readiness File (AIPI), which maps the world’s preparation for artificial intelligence and assesses the degree of computer based intelligence readiness in 174 nations.
The AIPI Dashboard tracks these economies in view of their computerized foundation, human resources, work strategies, development, coordination, and guideline, the monetary organization said in a proclamation.
The simple average of its normalized subcomponents is the aggregate dimension for digital infrastructure, human capital and labor market policies, digital innovation and economic integration, regulation, and ethics. The simulated intelligence Readiness File is then determined as the basic normal of the four total aspects on a size of 0 to 1.
For 32 advanced economies, 56 emerging market economies, and 37 low-income nations, the index is calculated.
Ghana came in third place on the list of emerging market economies, behind Kenya (0.45) and Rwanda (0.44), with a score of 0.43.
With an index score of 0.5, South Africa, a country with an established economy, was ranked as the most prepared African nation to implement AI.
Despite launching its first Multilingual Large Language Model (LLM) in April and revealing its AI strategy just recently, Nigeria ranked among the list of unprepared nations with an index score of 0.34.
The IMF report noticed that while man-made intelligence can increment efficiency, support financial development, and raise salaries, it could likewise clear out huge number of occupations and enlarge imbalance.
AI could threaten 33% of jobs in advanced economies, 24% in emerging economies, and 18% in low-income nations, according to IMF research from January.
The statement continued, “However, on the bright 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.”
According to the financial institution, countries with higher incomes tend to be better able to adopt AI than those with lower incomes.
According to the report, “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”.
It went on to say that “at the same time, many of these countries lack the infrastructure or skilled workforces needed to harness AI’s benefits, which could worsen inequality between nations.”
Source: graphiconlinegh
