Artificial Intelligence and its Potential Adverse Impacts on the Philippine Economy

Recent developments in artificial intelligence (AI) and deep learning techniques are expected to reshape the nature of the working environment in many economic sectors through the automation of many white collar jobs. This technological breakthrough poses threats of job obsolescence in several industries, particularly for a labor abundant country such as the Philippines. With human capital as one of its largest resources, the services sector is a major contributor to the country’s economy, contributing around 60% of the total gross domestic product and employing about 22.8 million workers (Philippine Statistics Authority, 2017)

A structural analysis of the effects of conventional and non-conventional accounting measures on firm value among publicly-listed Philippine firms from 2012-2016

This thesis attempted to explain the gap between the book value and market value of shares by integrating a supplemental measure of intangibles via the Gu-Lev method. It hoped that by better explaining the economic determinants of firm value, managers will be guided in allocating resources in their operations. The structural equation models showed that advertising and capital expenditures are determinants of intangibility. This intangibility also explained a certain rate of stock market fluctuation but still calls for a better measurement of the variable. The results open more opportunities to improve the accounting for intangibles to shed light among stakeholders and understand better its effect on the market and operations