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Review Paper

Comparison of humans and artificial intelligence in the AHP method-based content creation for digital marketing

Jelena Šiđanski

University of Novi Sad, Faculty of Economics in Subotica, Republic of Serbia

In digital marketing, the ability to create engaging and relevant content is a key success factor. Advancements in technology present new opportunities, with artificial intelligence (AI) reshaping various business sectors. AI can assist or fully manage content creation, helping marketers enhance work processes and outcomes. Using a multicriteria analysis model, it is possible to evaluate criteria and make decisions between alternatives for content creation. This paper uses the Analytical Hierarchy Process (AHP) to evaluate the alternatives, namely humans, AI, and a combination of the two, with the aim of improving content creation based on the criteria of creativity, speed, cost, content quality, adaptability, and conversion. The results of the paper indicate that marketing professionals consider humans to be most effective for content creation, particularly in creativity, content quality, adaptability, and conversion. While the combination of humans and AI offers advantages in cost efficiency and speed, it does not surpass the human-driven approach.

Keywords: 

humans, artificial intelligence, digital marketing, content creation, AHP method

JEL Classification: 

M31, C44, O33, D83, L86
doi:10.5937/ekonhor2502187S
Economic Horizons, 2025, 27 (2). Published online August 8th 2025

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ICV 2020 = 90.77

Since March 2013, the Journal has been evaluated and accepted for listing in EconLit (American Economic Association Publications)

EconLit

Since January 2013, the Journal has been included into EBSCO’s databases

EBSCO

Since November 2012, the Journal has been included into Ulrich’s Periodicals Directory 

Ulrich’s Web

Since October 2020, the Journal is referenced in SCOPUS

SCImago Journal & Country Rank

Since March 2015, the Journal is indexed in DOAJ

DOAJ

Since November 2013, the Journal is indexed in ProQuest – ABI/INFORM

ProQuest – ABI/INFORM

Since October 2013, the Journal is indexed in Cabell’s Directories

Cabell’s Directories

Since September 2013, the Journal is indexed in Index Copernicus Journals Master List 2012

Index Copernicus Journals Master List
ICV 2020 = 90.77

Since March 2013, the Journal has been evaluated and accepted for listing in EconLit (American Economic Association Publications)

EconLit

Since January 2013, the Journal has been included into EBSCO’s databases

EBSCO

Since November 2012, the Journal has been included into Ulrich’s Periodicals Directory 

Ulrich’s Web