Creators use AI agents to automate fan interactions amid brand concerns
Content creators are adopting agentic AI to handle fan engagement, saving time while raising questions from advertisers about authenticity and brand suitability.
By Alexander Lee | June 20, 2025
Content creators are increasingly using agentic AI tools to automate interactions with fans—saving time and money while raising new questions for brands and marketers. Unlike prompt-based AI like ChatGPT, agentic AI can autonomously pursue goals and make decisions, mimicking human behavior patterns.
Key Statistics
- 33% of business software will incorporate AI agents by 2028 (Gartner report)
- 2/3 of businesses are exploring agentic AI (Boston Consulting Group research)
- Only 26% of consumers trust organizations to use AI responsibly (Qualtrics study)
How Creators Are Using AI Agents
Creators like Elizabeth Gasiba, Paige Piskin, and Marcella Cortland use tools like Soopra to train AI agents that mimic their tone and personality. These agents handle comments and DMs, offering fans a sense of connection without constant human input.
"Without these tools, I really was at a bottleneck... Now I can produce more content without getting burned out." — Paige Piskin
Brand Suitability Concerns
Advertisers are wary of AI potentially "misrepresenting" influencers. Many contracts now require human-created content, and AI-driven fan interactions could reduce a creator's appeal to sponsors.
"AI can augment, and slightly misrepresent, influencers in this space." — Jessica Tamsedge, Dentsu Creative UK CEO
Ethical Risks
AI ethicist Allison Harbin warns that prolonged AI-fan conversations could stray from original topics, creating legal or ethical complications.
While creators avoid using AI for branded content, they argue that authentic-seeming AI interactions can boost engagement metrics—a key factor for brand deals.
Related News
Agentic AI Transforms Enterprise Workflows with Autonomous Systems
Enterprises are shifting from passive AI tools to autonomous agentic systems, redefining workflows and driving innovation across industries.
Master Agentic AI with Python in This 4-Hour Video Tutorial
Learn agentic AI engineering in Python through a comprehensive four-hour video workshop by Jon Krohn and Edward Donner, covering frameworks, workflows, and hands-on coding.
About the Author

Dr. Lisa Kim
AI Ethics Researcher
Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.