Status : Verified
| Personal Name | Peralta, Joshua Matthew R. |
|---|---|
| Resource Title | Foresight study on the workforce impacts of generative AI in Philippine telecommunications by 2035 |
| Date Issued | 12 January 2026 |
| Abstract | Generative Artificial Intelligence (GAI) has experienced rapid adoption and development in the recent years. Its impact on an organization’s strategies is important for the company to be able to prepare for the radical change the technology is likely to bring. Current studies tackle the impact on the Information and Communications Technology (ICT) and Business Process Outsourcing (BPO) sectors, while this study addresses the lack of insight on the topic covering the Telecommunications industry in the Philippines, and its unique characteristics. Especially the unique contribution it brings as the enabling body that provides internet that allows access to AI-enabled platforms. This study used the ten stage – technology foresight scenario building process demonstrated by Imbang (2023), in the forecasting of future scenarios that may help telco executives in the strategic planning in anticipation of GAI. The analysis was conducted using variables collected and examined via STEEP and TOWS analyses, which are then synthesized and assessed using the impact/uncertainty matrix to define critical variables that suggests patterns for likely futures. The findings suggests three possible scenarios covering different sets of variables : 1) High impact, high uncertainty variables which suggests a scenario wherein full adoption and deployment of GAI is observed in the telco sector. Resulting in the disruption of workforce requirements, ways of working, and other critical considerations. 2) High impact, low uncertainty which suggests a more conservative approach wherein the sector focuses on the reinforcement of its infrastructure and services to support increasing demand and the delivery of the GAI services through other sectors. Lastly, 3) highest impact variables which suggests aggressive investment to support both infrastructure improvements, and GAI technology deployment support. These findings can help in the strategic planning and decision making of telco stakeholde |
| Degree Course | Master of Technology Management |
| Language | English |
| Keyword | Technology foresight, Generative AI, Telecommunications |
| Material Type | Thesis/Dissertation |
Preliminary Pages
110.17 Kb
Category : F - Regular work, i.e., it has no patentable invention or creation, the author does not wish for personal publication, there is no confidential information.
Access Permission : Open Access