AI personas -synthetic, but we find them authentic.

This has a name - Synthetic Authenticity - and it explains when an artificial persona feels real enough to trust, buy from, learn from, or confide in.

AI persona sketch
AI personas
Prashant Saxena speaking on stage
Prashant Saxena
AI persona sketch with social, care, classroom, and companion scenes
AI persona research programSynthetic by form, authentic by judgment
Prashant Saxena speaking on stage
FromPrashant SaxenaRegional VP, RevenueAdjunct at B-SchoolsPhD researcher, NTU

Synthetic authenticity

Synthetic authenticity is the legitimacy people grant an artificial persona to occupy a consequential role in their life. It is the point at which people permit AI to shape what they believe, buy, learn, disclose, decide or delegate while remaining aware that the persona is synthetic.

AI personas: built faces but real reactions.

Robots, tutors, companions, influencers, care assistants, and shopping agents. None of them have lived a day but some still feel real enough.

Trust has a new shape.

When AI agents speak, sell, teach, and comfort, authenticity becomes an ontological problem and therefore a business problem.

Synthetic form

AI built, trained, prompted, deployed. Efficient and scalable.

Human judgment

Consumers still decide whether they feel real enough to act on.

Prashant Saxena presenting in a green suit on stage
A problem to be solvedIn live rooms and with live data.

Common questions, answered

Does more human realism make an AI persona more trusted?

No. The threshold model of synthetic authenticity finds calibrated sufficiency: human cues help up to a point, then start breaking trust. The finding comes from a map of 2,685 articles and 111 AI-persona studies. Enough cueing beats maximum realism.

Does disclosing that an influencer is AI hurt engagement?

Not directly. Across 1,531 Instagram posts, AI disclosure lifted engagement 19.2%. Felt authenticity fell only where the account leaned too hard on disclosure. Saxena and Prahl call this the transparency tax: disclosure buys attention and charges authenticity.

How does doubt about an AI influencer spread?

Through public comment threads, which behave like forensic investigations. One viewer posts a suspicion, the next viewer treats it as evidence, and the group braids separate clues into a shared verdict. Saxena and Prahl call this crowd forensics and warrant braiding, forthcoming in the Journal of Advertising.

Do people judge AI advice and human advice differently?

They criticise them for different faults rather than criticising one more. Across 174 carrier posts and 87 complete Reddit threads, AI recommendations were called generic, templated or missing context, while human-adviser recommendations were questioned on diagnosis, procedure, necessity and incentives. Saxena and Prahl call this difference scrutiny composition, and it measures 55.8 standardised percentage points.

Why do people confide in companion AI?

Because the AI asks nothing back. Across 3,670 posts and reviews, people described burdenless listening as the reason they opened up. The same ease creates dependence, so leaving the companion can feel like a loss.

Where is the synthetic authenticity research published?

Across six studies with Andrew Prahl at Nanyang Technological University. One is published in the International Journal of Human-Computer Interaction. One is accepted and in production at the Journal of Advertising. One is under revise and resubmit at the Journal of Macromarketing. The remaining three are under review at Human-Machine Communication, the International Journal of Advertising, and Internet Research.