Template-Type: ReDIF-Paper 1.0
Author-Name: Iñaki Aldasoro
Author-X-Name-First: Iñaki
Author-X-Name-Last: Aldasoro
Author-Name: Sebastian Doerr
Author-X-Name-First: Sebastian
Author-X-Name-Last: Doerr
Author-Name: Daniel Rees
Author-X-Name-First: Daniel
Author-X-Name-Last: Rees
Title: Old workers, young machines: can AI and automation offset population ageing?
Abstract: Artificial intelligence (AI) and robots have the potential to offset the macroeconomic consequences of an ageing workforce, but the ability to automate jobs depends on which industries are ageing. AI and robots substitute most readily for jobs in industries with younger workforces (eg finance), while older, high-employment industries (eg agriculture, health) have less scope for automation. A new ageing–automation scorecard for over 130 economies shows that some of the fastest-ageing economies may face more substantial challenges in easing demographic pressures through automation.
Length: 8 pages
Creation-Date: 2026-08-26
File-URL: https://www.bis.org/publications/bulletin-135-old-workers-young-machines-can-ai-and-automation-offset-population-ageing
File-Format: Application/pdf
File-Function: Full PDF document
File-URL: https://www.bis.org/publications/bulletin-135-old-workers-young-machines-can-ai-and-automation-offset-population-ageing
File-Format: text/html
Number: 135
Handle: RePEc:bis:bisblt:135