View full metadata record
dc.title | The Diffusion of Artificial Intelligence in an Emerging Economy: Evidence at the Firm Level in Colombia |
dc.contributor.author | Herrera Giraldo, Magaly Faride |
dc.contributor.author | Gallego, Juan Miguel |
dc.contributor.author | Gutiérrez, Hernando |
dc.contributor.author | Vargas, Fernando |
dc.contributor.author | Pereira, Mariano |
dc.contributor.orgunit | Competitiveness, Technology and Innovation Division |
dc.contributor.orgunit | Institutions for Development Sector |
dc.coverage | Colombia |
dc.coverage | Latin America |
dc.date.available | 2024-12-13T00:12:00 |
dc.date.issue | 2024-12-13T00:12:00 |
dc.description.abstract | Artificial intelligence (AI) has the potential to revolutionize industries throughout the world, offering new opportunities for innovation and efficiency. As with other new technologies, its diffusion is expected to be uneven among different countries, sectors, and firms. Studying this phenomenon is difficult in Latin America and the Caribbean (LAC) because information regarding AI adoption in the region is minimal. This study addresses this gap by offering the first exhaustive characterization of AI adoption among Colombian manufacturing firms. We constructed a panel dataset of 12,765 industrial firms for 2019 and 2020 by pooling three national statistical surveys. This reveals that 6 percent of manufacturing firms have adopted some form of AI, representing around 50 percent of the adoption rate in the U.S. manufacturing sector. The results show that adoption is heterogeneous among sub-sectors and regions. Similar to that observed in other high-income countries, the largest firms are much more likely to adopt AI. Younger firms are especially active in developing AI technologies. The findings also highlight the key role of complementary assets, such as managerial and innovation capacities, in deciding whether to adopt AI. This study yields novel results regarding technological development in the Colombian manufacturing sector and provides a basis for policy interventions to promote the adoption of AI. |
dc.format.extent | 37 |
dc.identifier.doi | http://dx.doi.org/10.18235/0013325 |
dc.identifier.url | https://publications.iadb.org/publications/english/document/The-Diffusion-of-Artificial-Intelligence-in-an-Emerging-Economy-Evidence-at-the-Firm-Level-in-Colombia.pdf |
dc.identifier.url | https://publications.iadb.org/publications/spanish/document/Certificación-internacional-de-calidad-¿Señalizando-a-quién-Impacto-en-el-desempeño-de-empresas-en-Argentina.pdf |
dc.language.iso | en |
dc.medium | Adobe PDF |
dc.publisher | Inter-American Development Bank |
dc.relation.series | Impact Evaluations |
dc.subject | Artificial Intelligence |
dc.subject | Small Business |
dc.subject | Science and Technology |
dc.subject | Manufacturing Industry |
dc.subject | Innovation |
dc.subject | Information and Communication Technology |
dc.subject | Rating |
dc.subject | Innovation Strategy |
dc.subject | Debtor Finance |
dc.subject | Labor Force |
dc.subject | Urban Innovation |
dc.subject | Social Innovation |
dc.subject | Emerging Market |
dc.subject.jelcode | D22 - Firm Behavior: Empirical Analysis |
dc.subject.jelcode | L60 - Industry Studies: Manufacturing: General |
dc.subject.jelcode | O33 - Technological Change: Choices and Consequences • Diffusion Processes |
dc.subject.keywords | artificial intelligence;Manufacturing Industry;Technology adoption |
idb.identifier.pubnumber | IDB-TN-03067 |
idb.operation | RG-T3723 |