- Chapter III: Artificial intelligence and the economy: implications for central banks
- Press release: Central banks must prepare for AI's profound impact on economy and financial system: BIS (French, German, Italian, Spanish)
The chapter tackles the implications of artificial intelligence for the global economy and central banks.
Key takeaways
- Machine learning models excel at harnessing massive computing power to impose structure on unstructured data, giving rise to artificial intelligence (AI) applications that have seen rapid and widespread adoption in many fields.
- The rise of AI has implications for the financial system and its stability, as well as for macroeconomic outcomes via changes in aggregate supply (through productivity) and demand (through investment, consumption and wages).
- Central banks are directly affected by AI's impact, both in their role as stewards of monetary and financial stability and as users of AI tools. To address emerging challenges, they need to anticipate AI's effects across the economy and harness AI in their own operations.
- Data availability and data governance are key enabling factors for central banks' use of AI, and both rely on cooperation along several fronts. Central banks need to come together and foster a "community of practice" to share knowledge, data, best practices and AI tools.
The full Annual Economic Report, to be released on 30 June, will look at the outlook for the global economy and lessons learned from 25 years of monetary policy.
