AI products are failing not because the models are weak, but because users abandon them before trust is established. The UX Collective piece 'The Trust Gap Between AI and Humans' targets a specific, underreported kill zone: onboarding.
The argument is structural. Designers are shipping capable AI behind interfaces that ask for too much, too fast, before users have any evidence the system is worth trusting. The piece examines how first interactions set a trust ceiling that most users never revise upward.
Read the full article for the design mechanics behind closing that gap, including how progressive disclosure, transparent limitations, and early wins can shift user posture from skeptical to invested. The framing applies to any AI product where retention drops in the first session.
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