Voice AI Revolutionizes Customer Service: 65% of Americans Prefer Calls

Article Highlights
Off On

In an era where technological advancements continually shape the world, a recent consumer study has revealed a remarkable trend—65% of Americans prefer engaging in phone calls for customer service when dealing with retail and travel brands. The findings from the study conducted by Dynata, commissioned by global voice AI leader PolyAI, challenge preconceived notions about communication preferences, particularly among younger generations. Contrary to the assumption that younger people avoid phone calls, an impressive 86% of Gen Z and younger Millennials expressed a preference for voice communication over other digital interactions. This shift towards voice interactions underscores the evolving landscape of customer service and the rising significance of voice AI technologies.

The study, which surveyed 1,000 U.S. consumers, highlighted key reasons behind the preference for voice-based customer service. Among these reasons, the most prominent were the need for speed, accuracy, and convenience. An overwhelming 71% of consumers indicated their willingness to converse with an intelligent voice assistant that provides accurate and efficient support—far surpassing the 55% who tend to request a human representative upon encountering a traditional robotic interactive voice response (IVR) system. PolyAI’s co-founder and CEO, Nikola Mrkšić, emphasized that the frustration with outdated IVR systems and extended hold times is driving demand for more capable AI solutions available across all contact channels.

The implications of this preference for voice AI are profound, especially during peak periods such as the holiday season. Reflecting on the trends observed during the 2024 holiday season, it is evident that the convenience of smartphone shopping contributed to a 9% increase in online spending. This surge in online activity coincided with consumers’ increased desire for quick and efficient customer support. Consumers’ demand for rapid response times was highlighted by 58% of respondents, who stressed the importance of obtaining faster replies from retail and travel brands during busy seasons. Thus, the competitive advantage of implementing voice AI solutions becomes unmistakable, as these technologies efficiently handle high call volumes, reduce hold times, and seamlessly exceed customer expectations even during the most demanding shopping periods.

Furthermore, the study revealed that 52% of consumers felt comfortable using voice assistants specifically tailored for retail and travel services. This comfort level is not just limited to older demographics; the data shows a significant acceptance among younger generations, with 86% of the younger cohort affirming their preference for phone support. This trend suggests that modern consumers, irrespective of age, are moving towards embracing sophisticated AI technologies that can offer faster, accurate, and more convenient service solutions.

The Future Landscape of Customer Service

In today’s tech-driven world, a recent consumer study shows that 65% of Americans prefer phone calls for customer service with retail and travel brands. The survey by Dynata, for PolyAI, a leader in global voice AI, defies existing beliefs about communication preferences among younger people. Surprisingly, 86% of Gen Z and young Millennials favor voice communication over other digital methods. This trend highlights the rising significance of voice AI technologies in customer service.

The study, which surveyed 1,000 U.S. consumers, identified key reasons for this preference: speed, accuracy, and convenience. Impressively, 71% of consumers are willing to speak with intelligent voice assistants for accurate and efficient support, compared to the 55% who prefer human representatives when faced with traditional robotic IVR systems. PolyAI’s CEO, Nikola Mrkšić, noted that frustration with outdated IVR systems and long hold times fuels the need for better AI solutions.

The implications are significant, especially during busy seasons like the holidays. In 2024, the convenience of smartphone shopping led to a 9% increase in online spending. Consumers’ demand for quick customer support was clear, with 58% emphasizing the need for faster replies from brands. Voice AI solutions can handle high call volumes, reduce hold times, and exceed customer expectations during peak shopping.

Finally, 52% of consumers are comfortable using voice assistants for retail and travel services, with 86% of younger generations also preferring phone support. This shows a general trend toward accepting advanced AI technologies for faster, more accurate, and convenient service, regardless of age.

Explore more

What Businesses Need to Know About Customer Identity Verification

Modern verification toolkits have expanded beyond simple photo ID inspections to include facial biometrics, liveness detection, and automated identity APIs. This shift occurs at a time when digital interactions represent the primary touchpoint between companies and their clientele. In an era where many customers never physically enter a store or meet a representative, the pressure to establish trust is immense.

Is AI the End of Current Blockchain Cryptography?

Current Ethereum and Bitcoin addresses that have broadcast a transaction are more vulnerable because their public keys are already visible on the ledger. This revelation has sent ripples through the cryptographic community, challenging the long-held assumption that decentralized networks would have decades to prepare for the advent of quantum-scale attacks. Instead of waiting for a physically realized quantum computer, researchers

How Is Google Cloud Redefining Legacy IT With AI?

The ability to generate business cases for cloud migration in minutes is replacing the manual spreadsheet modeling that previously slowed down IT departments. This shift marks a fundamental change in how large-scale infrastructure overhauls are perceived by the executive suite, moving away from purely technical discussions to strategic business narratives. In the current landscape of 2026, the rapid adoption of

Top Data Classification Tools and Strategies for 2026

Relying solely on automated machine learning without providing clear policy guidance often results in over-classification, making the entire security system difficult for employees to use. In the current digital landscape of 2026, data classification has transcended its origins as a back-office administrative chore to become a critical pillar of modern cybersecurity and global regulatory compliance. As enterprises manage vast petabytes

Google Updates View-Through Conversion Logic for Demand Gen

The quest for absolute clarity in digital attribution has long been the holy grail for modern marketers seeking to justify their visual media spend across expansive digital ecosystems. The change to a one-pixel threshold moves view-through metrics further away from proving active engagement and closer to measuring mere exposure. This technical adjustment, arriving as part of a broader overhaul of