Emerging Market Technology Adoption Cycles and Artificial Intelligence

Goldman Sachs revises its EM AI adoption outlook, noting that compressed cycles and technological leapfrogging could boost EM GDP by 6% over the next decade. The report highlights that low-cost, open-source models are narrowing the DM-EM adoption gap to roughly three years.

Key Takeaways

• 1.AI adoption lags between developed and emerging markets are compressing, with current trends suggesting a 3-year lag compared to the previously assumed 5-year lag.
• 2.Emerging market firms are likely to 'leapfrog' directly to the technology frontier in digital and novel business functions rather than following traditional incremental adoption paths.
• 3.The economic impact of AI in EMs could be significantly larger than initially forecast, with a potential 6% boost to GDP over the next decade if adoption continues at its current pace.

Table of Contents

• EM Technology Adoption Cycles and Implications for Artificial Intelligence
• Disclosure Appendix
• Global product; distributing entities
• General disclosures

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