As the customer service landscape rapidly evolves, customer service and support leaders are focusing on how AI can help advance their priorities for 2026 and beyond. From enhancing customer experience to improving operational efficiency, leaders are looking to go beyond individual AI use cases, seeking to embed AI more deeply into their operating model and employee workflows.

Research findings outline the actions heads of customer service and support can take to balance the adoption of new AI tools with the vital role of human agents, whose contributions remain essential.

AI is no longer just a back-office tool — it is now at the heart of customer service strategy. In a survey of 321 customer service and support leaders conducted from September through October 2025, 91% of respondents indicated they are under executive pressure to implement AI, not only for efficiency improvements, but also to directly enhance customer satisfaction. The focus is shifting toward using AI to resolve issues on first contact, reduce customer effort, and deliver greater value throughout the customer journey. This marks a significant evolution from cost-cutting initiatives to value-driven service strategies.

AI is also driving a major transformation in the contact Centre workforce. More than 80% of organizations expect to reduce agent headcount in the next 18 months, mainly through attrition, hiring pauses, or layoffs. However, the shift is not solely about reducing staff numbers. Roles are evolving as nearly 80% of organizations plan to transition agents into new positions, while 84% are adding new skills to agent profiles. Customer service and support leaders will need to focus on preparing agents to deliver higher-value, more complex, and empathetic customer interactions that AI alone cannot fully replicate.

AI and Human Collaboration Will Define the Future of Customer Experience

AI is powering a new era of customer engagement and self-service capabilities. Organizations are investing in AI-enabled assistants for both customers and agents, intelligent routing systems, and proactive value delivery initiatives. Self-service success has become a top priority, but many organizations continue to face significant knowledge management challenges, including backlogs of knowledge articles and inconsistent content review processes.

To address these issues, 58% of leaders plan to upskill agents as knowledge management specialists, enabling them to review and curate AI-generated content more effectively. Organizations are increasingly investing in AI-enabled knowledge systems to accelerate content creation, review, and dissemination across customer service operations. As a result, many organizations are experiencing faster and more accurate customer responses, along with a scalable approach to delivering value at every customer touchpoint.

Leaders seeking to maximize AI’s impact in customer service should pursue both customer-facing and agent-facing use cases that support first contact resolution, enable seamless customer journeys, and drive measurable value delivery. Investments in robust knowledge management strategies and agent upskilling initiatives are becoming increasingly critical.

Success in 2026 will depend on the effective combination of AI tools — including personalized AI assistants and AI-powered knowledge management systems — with the unique strengths of human agents. Human expertise remains essential for empathy, critical thinking, emotional intelligence, and handling complex customer situations that require nuanced judgment.

Organizations that successfully balance advanced technology with human capabilities will be better positioned to achieve ambitious customer experience and operational efficiency goals. Rather than replacing human agents entirely, AI is increasingly becoming an augmentation tool that empowers employees to focus on more meaningful and strategic customer interactions.

Customer service leaders are therefore entering a period where operational models, workforce strategies, and customer engagement frameworks must evolve simultaneously. Embedding AI into workflows without undermining the human element will be one of the defining challenges for organizations in 2026 and beyond.

The growing integration of AI across customer service functions also signals a broader transformation in how organizations define service excellence. Speed and efficiency remain important, but organizations are increasingly recognizing that customer loyalty is built through a combination of responsiveness, personalization, and empathy. AI can enhance these outcomes when deployed strategically, but long-term success will depend on governance, workforce readiness, and a clear understanding of where human interaction delivers the greatest value.

As AI adoption accelerates, organizations that invest in collaborative human-AI operating models are likely to outperform competitors in both customer satisfaction and operational resilience. The future of customer service will not be defined by AI alone, but by how effectively organizations combine machine intelligence with human strengths to create more responsive, intelligent, and customer-centric experiences.