US Leads the Pack in AI Readiness, Says IMF Report

The United States and Netherlands are the countries best prepared for adopting artificial intelligence in the economy is a new survey from the International Monetary Fund. Making the overall MC index for both countries to a . As per the AI preparedness index formulated based on factors that include digital foundation, talent, innovation, collaboration, and regulation, it ranked 77.

Top Performers:

  • Finland and Estonia: Coming closely behind with a 76 rating.
  • New Zealand, Germany, and Sweden: Both of them obtained a score of  75, which indicates satisfactory compliance with a number of measures revealing readiness.
  • Australia, Japan, and Israel: Also noteworthy obtained a median success rate of . 73 rating.

Surprises and Insights:

The country that chubby semiconductors claim to be a key producer, Taiwan, surprisingly gained a . 67 rating was noted in areas of operation other than manufacturing where there appears to be a lot of room for improvement.

  • China, Russia, and Iran: Below them in terms of paltry scores 64 and 56 . One can note the decline in the total number of entries from 55 to 38 respectively to advocate that there is a necessity to improve the contemporary regulations and current approaches to innovations.

Challenges for Developing Nations:

  • South Sudan, Afghanistan, and the Central African Republic: Received the least score which indicates the problems that exist in the infrastructure and policies on the use of ICT.
  • India: It is further noted that this treatment has a rating of  49, To sum up, it is possible to conclude that India’s experience of AI implementation is rather positive but it is also possible to identify certain problems and shortcomings.

IMF's Recommendations:

  • Advanced Economies: Should increase spending on the social spending, improve skills development of its human capital, and encouraged AI developments.
  • Emerging Markets: To address readiness disparity, it is advisable to concentrate on fortifying digital structures and increasing digital competence.

Economic Implications:

  • Job Market Transformation: Through researches by the IMF, it was evident that AI has the potential to improve productivity and wages in as much as 30% of jobs within the advanced economies jobs for the skilled tech-savvy employees.
  • Global Coordination: Stresses the importance of the unified approach to the protection of people from the risks and creation of public confidence in the AI systems.


This self-assessment is useful for nations interested in leveraging AI in their economies, as the IMF’s reports are widely acknowledged as the gold standard. Developing nations, on the other hand, have to develop smarter and lay emphasis on infrastructure and education to include everyone.