العربية · The Impact of AI
Verified reporting, original sources and clear analysis of what changes for people.
2026-09-28 · UK edition · 111 reports across the archive
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Preliminary scenarios put regional output between 0.3% and 5.1% higher after a decade. Workers' ability to move into expanding roles determines whether wages rise or fall in the model.
The International Labour Organization's global skills report argues that technical AI jobs remain a small niche while a much wider workforce increasingly needs the ability to understand and use AI safely and ethically.
The OECD's Skills in the AI Age report says many jobs will be transformed rather than simply removed and highlights complementary human capabilities such as critical thinking, creativity, collaboration and continued learning.
Joint research covering around two-thirds of global employment finds that infrastructure, task organisation and skills shape whether exposure becomes augmentation, automation or no practical change.
World Development Report 2026 argues that developing economies can use AI to extend skills and services, but gaps in electricity, connectivity, data, institutions and language support could concentrate benefits elsewhere.
Forthcoming Inter-American Development Bank research estimates a wide range of possible growth outcomes for Latin America and the Caribbean and warns that wages depend on mobility into new tasks and occupations.
Stanford Digital Economy Lab researchers report no economy-wide displacement but identify weaker outcomes for younger workers in selected occupations where generative AI can perform a larger share of tasks.
A Management Science paper combines randomised trials involving 4,867 developers at Microsoft, Accenture and another large company and reports an average increase in completed tasks, with variation across experiments.
A study with 1,700 recruiters in the UK and US reports that AI skills increased interview invitations across office, software and design roles, sometimes offsetting age or education disadvantages.
An ILO review of empirical studies says generative AI can improve performance on some tasks while raising concerns about inequality, early-career opportunities, worker autonomy and how jobs are organised.
OECD evidence suggests most workers need practical digital judgement and job-specific training rather than advanced model-building skills. Employers that skip the learning phase risk poor adoption and wider inequality.