Virtual Influencers in 2025
The social media world isn’t just for real people anymore. In 2025, we’re seeing a wave of virtual influencers, AI-powered characters with growing fan bases, brand deals, and full content calendars. These digital personalities are showing up across platforms, promoting products, and shaping online culture without ever picking up a phone.
What Are Virtual Influencers?
Virtual influencers are computer-generated characters made with a mix of artificial intelligence, 3D design, and animation tools. Most aren’t based on real people. Instead, they’re built from scratch with unique styles, voices, and stories designed to speak to a certain audience.
You’ll find them on Instagram, TikTok, and YouTube, posting photos, short videos, and stories like any other content creator. And just like real influencers, they often work with brands through paid collaborations, sponsored posts, and product shoutouts.
There are two main types:
- Fully AI-Generated Influencers: These are completely fictional characters with no ties to any real person. Think Lil Miquela or Shudu.
- AI Avatars of Real People: These are digital versions of actual influencers or celebrities used to expand their brand, try new styles, or simply post more consistently.
How Do Virtual Influencers Work?
They might look like they’re running their own accounts, but behind the scenes, a team of people and tools keep everything moving.
- Natural Language Processing (NLP) helps them write captions, reply to comments, and sound natural.
- Computer Vision adds realistic facial expressions and movements.
- Generative AI powers visuals, scripts, and other creative content.
A team, usually made up of designers, writers, and marketers, handles the content strategy and keeps everything on-brand. High-quality visuals are created with AI software that lets these characters wear styled outfits, appear in different settings, and interact with the world in believable ways.
This setup allows for regular posting, fast trend response, and non-stop availability.
Why Brands Are Turning to Virtual Influencers
Virtual influencers offer a different kind of flexibility and control that can be hard to get with traditional partnerships.
- Fewer Production Costs: No travel, no reshoots, no scheduling conflicts
- Creative Freedom: Brands can shape the influencer’s personality, style, and messaging
- Consistent Activity: These characters can post any time, day or night
- Audience Targeting: You can build an influencer that speaks directly to your niche
- Quick Feedback: AI tools help track how posts perform and adjust content as needed
- Repeatable Content: Once the character is built, you can reuse them in different formats and across multiple campaigns
Measurable Campaign Results — Lil Miquela & EMV
Thanks in part to this stature, Lil Miquela was chosen to partner with BMW on an exciting campaign around the automotive company’s 100% electric BMW iX2. By the topline numbers, the campaign was a hit: Lil Miquela drove a not-so-little $168.5k EMV for BMW across just seven posts. Her content earned 128.0k Engagements and 1.5M Impressions, further demonstrating the viral impact of virtual creators. However, Lil Miquela averaged a 0.6% Engagement Rate across these posts, relative to BMW creators’ 3.6% average.
“For deep engagement, humans have an edge” — On Instagram, content from AI and virtual influencers tends to garner lower Engagement Rates than content from human influencers. The exceptions, like Aitana, arise when AI content is able to mimic human content as closely as possible, either with lifelike faces and poses, eye-catching outfits, or both.
AI in Creator Marketing: Discovery, Collaboration, Measurement
AI-powered technology can take discovery databases beyond simple keyword matching. By continually refining search criteria via content aesthetics, AI models can enable searches based on content’s meaning and context, which in turn yields more accurate creator recommendations.
AI-Assisted collaboration can spark personalized, auto-generated content examples within briefs and inform options for stronger campaign candidates, backed by a rationale that considers why each creator is likely to perform well within the context of a given campaign. Predictive AI will inform forecasting and help brands meet and exceed KPIs.
Nepal — AI’s Local Impact on Media and Misinformation
Artificial Intelligence (AI) is rapidly reshaping the way media is created, distributed, and consumed in Nepal. In 2025, AI’s role in Nepali media has intensified, particularly on social media platforms, which serve as the primary information source for a large portion of the population. With approximately 14.3 million active social media users, 48.1% of the total population, Nepal has become fertile ground for both the benefits and risks of AI-driven media.
AI is increasingly influencing how content is produced and personalized, especially across platforms like Facebook, Nepal’s most dominant social network with up to 16.48 million users. AI-generated and AI-modified content, ranging from news summaries to visual effects, is becoming commonplace, accelerating the pace and reach of information dissemination.
A prominent consequence of AI’s growth in media is the rise of AI-manipulated content, including deepfake videos and digitally altered images. Viral deepfake videos of Kathmandu Mayor Balen Shah and Deputy Mayor Sunita Dangol falsely portrayed them in compromising situations, leading to public outrage and legal action under Nepal’s cybercrime laws.
While AI has raised concerns, it is also being creatively used: fictional AI personas, like a talking Yeti in Kathmandu video vlogs, are gaining popularity by blending entertainment and political satire. AI dubbing and voice synthesis have allowed creators to produce engaging videos, demonstrating the reach of language AI tools in content creation and digital storytelling.
Conclusion: AI is undeniably transforming Nepal’s media landscape, amplifying creativity, but also magnifying risks tied to misinformation, manipulation, and digital abuse. The need for ethical frameworks, fact-checking, and digital literacy has never been greater.
Join the Discussion
Which insight about virtual influencers (reach vs. engagement, EMV vs. engagement rate) was most surprising to you?
Do you agree that AI can improve discovery and forecasting but human creators still produce deeper engagement? Why or why not?
What monetization mix would you prioritize for an AI influencer agency aiming for $50K/month (brand deals, subscriptions, licensing, content-as-a-service)?
How should agencies operating in Nepal and similar markets balance creative opportunity with the risks of AI-driven misinformation?
What would you add or clarify from these reports and case studies?