Conversational AI drives renewed growth in voice calls, says Gamma Communications

Voice calling is rebounding after years of decline, with carriers reporting growth in call volumes as AI systems handle customer interactions at scale. Compliance with local data rules is now a key revenue driver for carriers entering new markets.

Categorized in: AI News PR and Communications
Published on: May 14, 2026
Conversational AI drives renewed growth in voice calls, says Gamma Communications

Voice Calls Are Becoming Valuable Again-Thanks to AI

After a decade of decline, voice calling is attracting new investment and revenue opportunities. Telecommunications carriers are seeing growth in call volumes and minutes for the first time in years, driven by conversational AI systems that handle customer interactions at scale.

Call volumes had fallen 5 to 10 percent annually as businesses shifted to internet-based alternatives. That trend is reversing now that large language models can sit in the call path, enabling services like real-time translation, automated contact-centre handling, and voice transcription.

Contact-centre AI, virtual receptionists, and voice transcription services are already operational. These applications let telecommunications providers monetize virtual phone numbers in ways that weren't possible before, turning voice into a strategic asset rather than a declining commodity.

Early Signs of Growth

Communications-platform-as-a-service (CPaaS) providers are leading adoption, using AI to improve customer engagement. One carrier reported 3 percent year-on-year gross profit growth in their service provider division during 2025, with disproportionate increases in contact-centre and CPaaS call minutes.

Call volumes to mobile numbers remain steady. The combination of these trends suggests the voice market has stabilized after years of contraction.

Revenue Opportunities Beyond Minutes

Carriers handle compliance and data sovereignty better than most technology vendors. When conversations are transcribed by AI systems, they must comply with local regulations-something carriers have built their infrastructure to do.

This compliance capability opens revenue streams beyond traditional per-minute charges. Businesses adopting AI call services need partners who can guarantee their conversations stay within legal boundaries.

Multinational organizations represent the biggest opportunity. Most mid-sized and large companies now operate across multiple countries, meaning vendors restricted to single territories will miss substantial revenue.

Regulatory Complexity Increases

Rules around AI, data handling, and telecommunications are tightening across jurisdictions. Carriers expanding internationally must navigate different requirements in each market they enter.

Some carriers use AI monitoring tools to track regulatory changes in real time, alerting teams to new rules as they're published. This approach lets them move quickly when entering new regions while maintaining compliance.

An experienced team familiar with local regulations in each market is essential. Carriers that can absorb the regulatory burden for their business partners gain a competitive advantage.

What This Means for Communications Teams

AI for PR & Communications professionals should understand how their organizations handle voice communications and customer data. As AI-powered call systems become standard, questions about compliance, data storage, and customer consent will become routine in vendor conversations.

For teams managing customer engagement, knowing whether your service provider can guarantee compliant AI transcription across your operating regions is now a business requirement, not a technical detail.

Those responsible for international expansion should evaluate whether their communications infrastructure can support AI-driven voice services in each new market. A vendor's ability to navigate local regulations quickly determines how fast you can launch new services.

Learn more about how Generative AI and LLM Courses can help your team understand the technical foundations of conversational AI systems.


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