Author
Listed:
- Amir, Muhammad Sikander
- Ali, Amjad
- Audi, Marc
Abstract
This study investigates the impact of artificial intelligence investment on firm profitability in Pakistan’s accounting, finance, and external audit sectors by introducing a composite metric called adjusted artificial intelligence investment. The data of 28 Pakistani firms from 2020 to 2024 has been used for empirical analysis. The research integrates technological infrastructure, cybersecurity risk, and regulatory support into a unified econometric framework. The study is anchored in the technology acceptance model and the resource-based view theory to explain the strategic value and adoption dynamics of artificial intelligence. Using panel least squares, fixed effects, and random effects regressions, the results consistently reveal that adjusted artificial intelligence investment and technological infrastructure significantly enhance firm profitability, while cybersecurity risk negatively influences it. Regulatory support exhibits mixed effects, being negatively associated in pooled models but positively in fixed effects analysis, highlighting the contextual role of governance frameworks. These findings carry significant implications for multiple stakeholder groups. For firm managers, the results underscore the importance of adopting a strategic, infrastructure-backed approach to AI implementation, prioritizing integration with secure digital environments. Policymakers must move beyond generic regulatory frameworks and instead focus on designing sector-specific policies that promote innovation without compromising compliance. Investors, too, can benefit from evaluating AI maturity as a key indicator of future profitability. Therefore, the study not only confirms the financial value of AI but also highlights the ecosystem-level support needed to realize its full potential. This research fills a key gap by holistically evaluating artificial intelligence's role in shaping firm performance in a developing economy context and offers actionable insights for businesses and regulators aiming to enhance profitability through technological integration.
Suggested Citation
Amir, Muhammad Sikander & Ali, Amjad & Audi, Marc, 2025.
"Artificial Intelligence Investment and Firm Profitability: Evidence from Pakistan’s Financial and Audit Sectors,"
MPRA Paper
127314, University Library of Munich, Germany.
Handle:
RePEc:pra:mprapa:127314
Download full text from publisher
More about this item
Keywords
;
;
;
;
;
;
JEL classification:
- O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
Statistics
Access and download statistics
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:127314. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.