Empowerment Mechanisms and Innovation Paths of Artificial Intelligence Marketing from the Perspective of Human-Machine Collaboration
Download PDF

Keywords

Artificial intelligence marketing
Human-machine collaboration
Empowerment mechanism
STP strategy
4P strategy

DOI

10.26689/pbes.v9i7.15334

Published : 2026-07-29

Abstract

Artificial intelligence is transforming marketing from an efficiency-enhancing tool into a new paradigm of human-machine collaboration. This study examines the conceptual evolution of AI in marketing through a theoretical lens, tracing its progression from a technical tool to a strategic core and ultimately evolving into a collaborative ecosystem. The paper analyzes the comprehensive mechanisms of AI integration into STP strategy and the 4P framework, and identifies three pathways for advancing marketing innovation through human-machine synergy. Relevant research indicates that collaboration between humans and AI does not imply machine replacement but rather achieves a dynamic balance between skill transfer and capability reconfiguration, liberating humans from routine tasks to focus on innovation and strategic planning. Future marketing competition will shift from mere technological prowess comparisons to comprehensive evaluations of human-machine collaboration effectiveness and value creation capabilities.

References

Davenport T, Guha A, Grewal D, et al., 2020, How Artificial Intelligence Will Change the Future of Marketing. Journal of the Academy of Marketing Science, 48(1): 24–42.

Huang MH, Rust RT, 2020, A Strategic Framework for Artificial Intelligence in Marketing. Journal of the Academy of Marketing Science, 49(1): 30–50.

Little VJ, Ho HHP, Velazquez S, 2026, From Assistant to Collaborator: Getting the Most Out of GenAI. Journal of Marketing, 2026.

Kehler, et al., 2025, Human Judgement and Machine Fluency in New Cognitive Configurations. Journal of Marketing, 2025.

Huble Digital, 2023, Generative AI-Driven Future CRM Trends, 2023.

Gartner, 2025, China Data Analytics and Artificial Intelligence Technology Maturity Curve, 2025.

Shi F, Yang Y, Yuan Y, et al., 2025, Marketing Transformation Driven by Artificial Intelligence. China Management Science, 33(1): 111–123.

Wang Y, Jia M, et al., 2025, Research Methods in Management in the Digital and Intelligent Era, Renmin University of China Press, Beijing.

iResearch, 2023, Research Report on the Application of AIGC Technology in China’s Marketing Sector, iResearch, Shanghai.

Secret Needle Marketing Academy, Minglue Technology, School of Management, Fudan University. 2024 AI+ Generative Marketing Industry Research Blue Book, 2024.

Ren X, Wu H, Chen F, et al., 2025, How Can Humans and Machines Collaborate? Investigating the Value-Creating Mechanisms of Intelligent Data Analysis for Multiple Parties in Sales Contexts. Psychological Science Progress, 33(6): 984–1005.

Li Z, Wang K, Wang B, et al., 2025, Human-Machine Fusion Intelligent Decision-Making: Concepts, Frameworks, and Applications. Journal of Electronics (China): 53(10).

Garvey M, Kim T, Duhachek A, 2023, Bad News? Send an AI. Good News? Send a Human. Journal of Marketing, 87(1): 10–25.

Longoni C, Cian L, 2020, Artificial Intelligence in Utilitarian vs. Hedonic Contexts: The ‘Word-of-Machine’ Effect. Journal of Marketing, 86(1): 91–108.

When Machine Precision Meets Human Intuition: A New Era in Human-Machine Understanding. Capgemini/Cambridge Consultants, 2025.