Trust and AI: authenticity as a deliberate choice

Trust — the cornerstone of any meaningful relationship — is shaking in the era of generative AI. When anything can be created algorithmically in seconds, how do we tell the authentic from the fabricated?

This is not an abstract fear; it’s backed by data. A Cornell University study ¹ found that AI-generated responses — like those in Gmail — carry a systematic positive bias. They are, by design, more agreeable and cooperative than human ones. At first glance, an advantage. In reality, a trap. This veneer of algorithmic positivity creates a dissonance: a “lite” version of human interaction that, while functional, lacks the texture and honesty of a real conversation.

The problem compounds when the curtain drops. Research on human-machine interaction ² shows that the moment someone suspects they are talking to an AI, their perception of trust and credibility collapses. Efficiency stops mattering. What remains is the feeling of having been managed by a script — not heard by an interlocutor.

And here lies the central dilemma for those of us who manage intangibles: are we building relationships, or simply optimizing transactions at unprecedented scale? We have deployed flawless communication machinery — capable of responding instantly, never losing composure, unfailingly courteous. Machinery, however, incapable of feeling the weight of a crisis or the urgency of a genuine complaint.

Authenticity in the age of AI will not be an accident — it will be a deliberate choice. The organizations that understand technology must amplify the human, not replace it, will be the ones building lasting trust in a world saturated with algorithmic interactions indistinguishable from real ones. Only what is genuinely human — with its imperfections and emotional depth — will stand out in the ocean of artificially perfect content that lies ahead.