Degree
Master of Science in Marketing
Department
Department of Marketing
School
School of Business Studies (SBS)
Date of Submission
Spring 2026-5-31
Supervisor
Dr. Abdul Basad Shaikh, Assistant Professor, Institute of Business Administration, Karachi
Keywords
Artificial Intelligence, Telecom Sector, Pakistan, Digital ServiceCo, Operations Support Systems (OSS), Business Support Systems (BSS), Fraud Detection, Data Governance.
Abstract
The present study aims to explore the strategic shift of Pakistan telecom industry from connectivity service provider to an AI enabled multi product digital service provider (ServiceCo/TechCo) model. Under pressure of revenue compression caused by Over-the-Top (OTT) platforms and high macroeconomic and infrastructure costs, local operators are more adopting Artificial Intelligence (AI) to safeguard margins and diversify revenue. This research is exploratory qualitative and uses an approach based on Rogers Diffusion of Innovation (DOI) theory. Primary sources of data were semi-structured interviews conducted with domain experts and data practitioners at Jazz and Ufone, the largest telecom services provider in Pakistan, and cross triangulation with sectoral wide industry reports, executive statements and global benchmarks. Thematic analysis highlights that there is evidence of a flowing shift towards enterprise-wide strategic implementation, with a clear post-COVID adoption acceleration taking place as opposed to pilot projects that were used to test the product at a departmental level. The use of AI in the sector can be divided into three stages of maturity in its structure. Tier-1 is for production-level deployments and generates high certainty of return, as evidenced by a proven 60% decrease in Simbox fraud minutes and cross-industry B2B recommendation engines. Tier 2 represents intermediate workflows in development, such as financial validation models with AI agents and multi-agent customer support systems. Tier 3 represents cutting-edge features like full Self-Organizing Networks (SONs), closed-loop automation and real-time sentiment-based churn mitigation, technologies that are still highly sought after, and less common among leading global players such as Vodafone and AT&T. The study reveals a complex web of adoption challenges, most notably the severe fragmentation of data across the multitude of legacy systems, the limited availability of hybrid tech-business expertise, the short-term horizons of ROI measurement and the absence of a homegrown cloud infrastructure. On the other hand, the strict data-localization rules imposed by the Central Bank are discovered to present a distinctive competitive advantage for cloud investments within the country, such as the Jazz Garage. This paper is designed to address these bottlenecks by suggesting an integrated strategic approach for local operators. The recommendations focus on the development of a unified Customer Data Platform (CDP) as a minimum standard, along with a progression of investment pipelines, multilingual and regional AI development and a human in the loop model of ethical governance. In the end, this research offers an empirical footing and a practical guideline for Pakistan to move towards the global economy in the digital era.
Submission Type
Research Project
Document Type
Restricted Access
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