Brands poured $39 billion into influencer marketing worldwide last year. A new Michigan State University study examines why AI-generated influencers - computer-created characters with names, personalities, and millions of followers - can drive consumer purchases even when audiences know they are not real people.
These virtual personalities operate much like human influencers. Brands build them to promote products across social media platforms. The business model is straightforward, but the psychology behind why consumers respond to them remains less understood.
What the research found
MSU Associate Professor Juan Mundel, co-author of the study, discussed the findings in a television interview Wednesday. He explained that AI influencers occupy a strange middle ground in consumer perception. People process them differently than they do traditional advertisements or human endorsers.
"There's something about the parasocial relationship that forms even when the audience is fully aware the influencer isn't real," Mundel said. The study suggests that consistent posting schedules, relatable narratives, and visual polish all contribute to trust-building - the same mechanics that work for human creators.
The research team focused on the persuasion mechanisms at play. AI influencers can be engineered for perfect consistency. They never have off days, scandals, or scheduling conflicts. For marketers, that reliability is part of the appeal.
The money behind virtual endorsers
The $39 billion figure covers all influencer marketing globally in the previous year. Industry projections point to continued growth. AI influencers represent a slice of that spending, but their share is expanding as brands experiment with lower-cost, fully controllable alternatives to human talent.
Some AI influencers have follower counts in the millions. Their content mirrors human influencers: product placements, lifestyle shots, and direct engagement with followers through comments and messages. The lines between real and virtual continue to blur.
For marketing professionals looking to understand how AI fits into social media strategy, AI Influencer Strategy Training covers the tools and frameworks brands use to build and manage virtual influencer campaigns. The same principles of audience targeting and content cadence apply, but the execution differs from working with human talent.
Why this matters for marketing professionals
Marketers allocating influencer budgets need to weigh trade-offs carefully. AI influencers offer control and cost predictability that human partnerships cannot match. They also eliminate risks around reputation and availability. But the research underscores that authenticity signals still matter - consumers respond to perceived relatability, not just visual polish.
The study suggests teams should evaluate AI influencers based on the same metrics they use for human creators: engagement rates, audience demographics, and conversion data. The medium may differ, but the fundamentals of influence remain consistent. Professionals who want to build competency in this area can explore AI Social Media Courses that address content creation and automation across platforms.
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