Young intern working at his computer

WSSD2 Brief

Bridging the digital divide

The brief highlights the issues associated with digitalisation of work and AI faced by social actors in countries around the world. It identifies key labour market issues associated with these technological developments and suggests how the benefits of these technologies can be better shared by all participants in the labour market.

AI at work at the ILO © Alioune Ndiaye / ILO
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Key considerations for WSSD2:

  • The impact of digitalization on employment varies across different income levels and regions. Artificial intelligence (AI) poses many challenges, including its potential for widening global inequalities, requiring targeted efforts to ensure equitable access to technology, education and infrastructure for sustainable development and social justice.
  • Low- and middle-income countries risk losing out on the potential benefits of AI as a result of long-standing digital divide concerns. The potential for AI to augment the capabilities of numerous professions is less likely to materialize in many low- and middle-income countries. ILO research on Latin America finds that in 9 of 16 countries, more than half of workers in professions that have the possibility to be augmented by AI did not currently use a computer at work.
  • Although digital and AI-related skills are increasingly essential for economic growth and workforce adaptability, in some parts of the world, demand for these skills lags behind demand for other skill sets. Even where demand is increasing, possessing these skills does not guarantee employment. When employers do seek AI and digital expertise, these skills are often bundled with other competencies, highlighting the importance of a well-rounded labour force.
  • Inclusive growth requires bridging the digital divide by improving infrastructure, supporting technology transfer and developing a diverse skill base – not just in AI but also in cognitive, socioemotional and technical skills – as well as ensuring the creation of quality jobs across the digital and AI value chain. 
     

Additional details

References

  • DOI: https://doi.org/10.54394/GYTG1195

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