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Organisations expect agentic AI to handle 78% of customer support within 18 months despite low deployment rates
78% of companies expect agentic AI to handle customer support in 18 months, but only 16% have deployed it. Data flaws and low consumer trust stall progress.
Nearly 78% of organizations expect agentic AI systems to directly handle customer support interactions within the next 18 months. Only 16% have deployed the technology organization-wide. The gap between ambition and operational reality is widening, according to Adobe's 2026 AI and Digital Trends Report.
The survey of 3,000 customer experience executives and 4,000 consumers shows a rapid shift in focus. Companies are moving from generative AI tools that create content toward agentic systems capable of making decisions and executing tasks with limited human intervention. Businesses expect these agents to take on a growing share of customer-facing work: 70% anticipate agentic AI handling post-purchase support, 69% expect it to manage sales interactions, and 63% forecast its use in account management within the next year and a half.
The readiness gap runs deep
Infrastructure and data foundations are not keeping pace with deployment timelines. While 89% of organizations reported having cloud infrastructure to support genAI, only 51% said they possess similar capabilities for AI Agents & Automation. Just 39% have customer data platforms capable of supporting these initiatives.
Data remains the biggest obstacle. About 75% of respondents identified data integration and quality as the primary challenge in deploying agentic AI. More than half said existing data structures already limit their current AI progress. Without clean, connected data, autonomous agents cannot operate reliably in customer-facing roles.
Consumers are not yet convinced
A trust gap separates business optimism from consumer sentiment. While 49% of organizations believe customers will eventually prefer AI agents as their primary way of interacting with brands, only 19% of consumers agree. The numbers are similarly divided on complex decisions: 36% of businesses believe customers will trust AI agents to make complex purchasing choices, compared with just 21% of consumers.
This skepticism matters for support teams planning to hand off more interactions to autonomous systems. High automation ambition without corresponding customer confidence risks alienating the very people the technology is meant to serve.
Early genAI gains offer a foundation
Despite the readiness challenges, companies are reporting real returns from current AI adoption. Around 76% said AI has improved content production volumes, 69% reported higher employee productivity, and 65% linked the technology directly to revenue growth. These early wins provide a baseline, but Adobe's findings suggest the next phase demands something different: trusted data foundations, governance frameworks, and the customer confidence to support autonomous systems at scale.
Why this matters for customer support teams
The 18-month window means customer support leaders are already on the clock. The jump from 16% deployment to 78% expectation is not just ambitious-it is a structural shift that will reshape job roles, escalation paths, and quality assurance processes. The data integration problem cannot be solved by the AI itself. Support teams that begin auditing their data quality, consent frameworks, and handoff protocols now will be the ones who deploy agentic systems that customers actually trust, rather than systems that generate more tickets than they resolve. For professionals navigating this shift, building practical knowledge in AI for Customer Support is becoming a core competency, not a specialization.