Stanford Graduate School of BusinessDeveloping Countries Are Ready for New Tech: Indermit Gill, Former World Bank Chief Economist
Stanford Graduate School of Business
AI as a chance 0:02
AI is framed as a big chance for poorer countries, not a threat. The warning is that they cannot afford to miss this bus, as they did with computers and electricity. The point is to be more optimistic and move faster than before.
Adapt, do not chase 1:00
AI is also more context specific than earlier tools. A system trained on US data may not fit India. The advice is to adapt imported technology to local needs, not just adopt it off the shelf or try to outspend China and the US on basic advances.
Focus on predictive AI 2:00
Because adaptation takes money, the report urges selectiveness. It says to lean toward predictive AI, where the returns are largest and the conditions are already in place. The research found developing countries are more ready than expected, with digital use in households and firms not far from levels in richer countries.
Practical gains first 3:31
The team was shaped less by fears of job loss, power demand, or world-ending risks than by what is already happening on the ground. In Kenya, AI is cutting judicial backlogs. In Bangladesh, it is helping cancer diagnosis. In India, it is improving teacher productivity.
Public services and limits 8:02
The labor effects also look different in developing countries. Most workers are in small firms or agriculture, so the impact is more often helpful than harmful, though call centers and a small slice of jobs may suffer. The biggest gains are in public services such as health, education, courts, and administration, but only if regulation, education, and a nimble industrial system are in place.
AI-generated summary. It can be wrong or incomplete - check anything that matters against the original.
