INFLUENCE OF ARTIFICIAL INTELLIGENCE ON THE PRACTICE OF ADVERTISING: A CASE STUDY OF SELECTED ADVERTISING AGENCIES IN LAGOS STATE
Abstract
This study explores the influence of Artificial Intelligence (AI) on the practice of advertising,
focusing on selected advertising agencies in Lagos, Nigeria. In the wake of rapid technological
advancements, AI has emerged as a transformative force across industries, and the advertising
sector is no exception. The research specifically investigates the extent to which AI has been
adopted in ad production, its deployment in creative development, and the availability of AI
infrastructure within Nigerian advertising agencies.
A quantitative research design was employed, and data were collected through structured
questionnaires administered to 80 advertising professionals across four leading agencies in Lagos.
Descriptive and inferential statistical tools, including the Chi-square test, were used for analysis.
The findings reveal that while AI is moderately adopted for media planning, audience targeting,
and performance tracking, its use in creative development such as content generation and A/B
testing is steadily growing. However, the study also highlights infrastructural gaps, including
limited internal policies and insufficient technical training among staff.
The inferential analysis confirms a significant relationship between AI adoption and improved
consumer engagement, underscoring AI's role in enhancing personalization, targeting accuracy,
and advertising efficiency. The study concludes that while Nigerian advertising agencies are
increasingly embracing AI, strategic investments in infrastructure, training, and policy
development are essential for maximizing its potential. Recommendations include upskilling
employees, establishing formal AI usage policies, and fostering collaborations with technology
firms. This research contributes to the growing body of knowledge on digital transformation in
African advertising contexts and provides a framework for effective AI-driven advertising
strategies.
Full-Text Access Notice
In accordance with the NERD Policy on promoting peer-reviewed publication, public access to the full text of a project, thesis or dissertation is restricted for three years, allowing the author and supervisors sufficient time to pursue peer-reviewed publication.
During this period, researchers with legitimate academic or research purposes may request authorisation directly from the author to enable NERD to release the indexed full texts of the work using the form below.