Consumers want AI receptionists to disclose their identity, Upfirst report finds

StartupBeat Team
By StartupBeat Team October 19, 2026

Small businesses adopting voice AI may need to prioritize transparency over making automated calls sound human. According to Upfirst’s State of Voice AI for Small Businesses 2026 report, 80% of surveyed US consumers want AI receptionists to disclose that they are artificial intelligence at the beginning of a call.

The findings highlight a challenge for startups developing voice agents: improving conversational realism does not necessarily translate into customer trust.

Upfirst surveyed 270 consumers and 262 small business owners and managers, alongside an analysis of 677,562 calls handled for 2,967 US businesses between January 2025 and August 2026.

Voice AI adoption depends on customer trust

The report found that 43% of consumers were comfortable with small businesses using AI receptionists, while 29% were uncomfortable and the remainder were neutral. Acceptance also depended on the task. While 70% were comfortable with AI answering questions about business hours, services and pricing, only 16% were comfortable with AI taking payments.

The business case for the technology remains tied to a familiar operational problem. Upfirst found that 78% of surveyed consumers had bought from a competitor after a business failed to answer or return a call. Among businesses already using AI receptionists, the report also found greater interest in maintaining human coverage for calls outside regular business hours.

For voice AI startups, these findings point to a product-design challenge that extends beyond speech quality. Disclosure, reliable responses and the ability to transfer callers to human staff may be as important as reducing latency or making synthetic voices sound natural.

The report has limitations: its surveys used an opt-in online panel, and its call data reflects businesses using Upfirst’s service rather than the broader small-business market. Nevertheless, the results suggest that voice AI providers will need to compete on trust and operational reliability, not just increasingly realistic conversations.