The AI outbound call industry is undergoing structural differentiation, with its market size surpassing 12 billion yuan and an annual growth rate of 38% as of 2026. Driven by large model technology, the proportion of outbound solutions utilizing these models has increased from under 15% in 2024 to over 40% in 2025, addressing key pain points by evolving from simple keyword repetition to dynamic conversational agents.
However, compliance remains a significant challenge as the industry faces new bottlenecks. An industry analysis highlights that while large models serve as the 'brain' of AI call systems, the effectiveness of these systems also relies heavily on the stability of the communication infrastructure, compliance with number regulations, and coverage of voice lines. For instance, Gaositong employs Huawei's IMS telecom-grade system, ensuring minimal downtime and high system availability.
As AI call centers become more intelligent, the risk of spam calls increases, complicating compliance efforts. Reports indicate that a single AI robot can make between 800 to 1,500 calls daily at a low cost, with capabilities to disguise caller IDs and remove spam labels. The core issue lies in the technology architecture, which must be fortified against misuse to ensure compliance. The industry is at a crossroads, where the focus will shift from the capabilities of large models to the integrity of communication infrastructures.
Editor's Note
The evolution of AI call centers highlights the critical balance between technological advancement and regulatory compliance. As the industry grows, ensuring that communication infrastructures are robust enough to prevent misuse will be essential for sustainable operations. Stakeholders must prioritize compliance mechanisms to mitigate risks associated with spam and regulatory violations.
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