An AI (Artificial Intelligence) sign is seen at the World Artificial Intelligence Conference (WAIC) in Shanghai, China July 6, 2023. REUTERS
LONDON, Sept 10 (Reuters) – AI’s rapid rise is creating new financial stability risks, Bank for International Settlements head Pablo Hernandez de Cos said, with spending on related infrastructure already at a scale significant enough to influence global economic conditions.
For central banks, AI does not change monetary policy mandates but makes economies harder to interpret by affecting demand, supply and financial markets simultaneously.The BIS estimates the world’s five largest technology firms will invest more than $1 trillion in AI between 2025 and 2026, while industry forecasts suggest global AI investment could grow from about $500 billion now to as much as $4 trillion by 2030.
“The promise of AI is real,” Hernandez de Cos told a conference hosted by India’s central bank, while cautioning that its long-term impact would depend on policy choices, investment in skills and infrastructure and how widely benefits are shared.
Hernandez de Cos said the AI boom was increasingly being financed through debt and private credit rather than corporate earnings, which merited close scrutiny because much of the funding remained “opaque and interconnected”.
AI is also changing global trade flows. Economies closely tied to the technology supply chain, including South Korea, Singapore, Malaysia and Taiwan, have benefited from stronger export prices for AI chips and equipment.
Hernandez de Cos pointed to evidence that generative AI can significantly boost productivity. Studies have found gains of between 10% and 65% in specific tasks, particularly in coding, consulting and professional writing.
The broader question is how much of those improvements translate into economy-wide productivity growth.
Current estimates suggest AI could raise total factor productivity growth by about half a percentage point a year, depending on the pace of adoption and how effectively labour and capital are reallocated.
Advanced economies are expected to benefit first because of their larger service sectors and greater readiness to deploy AI. Emerging economies face more varied prospects, although Hernandez de Cos said India had a “genuine opportunity” to narrow the gap, helped by its digital public infrastructure.
Reporting by Marc Jones; Editing by Alexander Smith
