Using AI in Economic Development: Challenges and Opportunities

Using AI in Economic Development: Challenges and Opportunities

Public spending on supporting socio-economic development is increasing – OECD countries are allocating 3.9% of GDP to stimulate the economy.

The long-term consequences of the COVID-19 pandemic, the slowdown in global production and tightening financial conditions are limiting budget opportunities.

New types of data and innovative ways of processing them can become a new driver of development, according to a new study by McKinsey. The economic effect of the introduction of artificial intelligence technology ranges from $2.6 to $4.4 trillion annually.

Experts have identified five areas in which the use of AI will be most promising.

  • Global value chains. By analyzing markets in real time, AI allows you to identify economic trends and discover opportunities to participate in international production.
  • Attracting investment and supporting trade. AI will help select companies that can stimulate local economic development, evaluate the results of investments and determine the necessary budget to stimulate investment activity.
  • Labor market. Social services can use AI to identify important long-term changes in the labour market, identify areas of labour shortage and ensure a smooth transition.
  • Economic forecasting: AI technologies are effective in detecting early signs of shocks, allowing decision makers to make policy adjustments more quickly.
  • Improving public service delivery using geographic information systems and spatial data.

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