Over 1,770 customers are already entitled to use Adobe's new AI agents, marking a rapid shift towards sophisticated, agent-based operations in enterprise. Advanced AI agents are quickly moving into production, and enterprise adoption is accelerating. However, most organizations remain unprepared for the pervasive data and talent challenges these systems present. This disparity means companies are racing to deploy AI without fully addressing underlying operational readiness, likely creating a significant performance gap between leaders and laggards in the coming years.

This shift is exemplified by Adobe CX Enterprise, an AI-first platform now generally available, merging creative and marketing capabilities under a unified, agent-based architecture (News Adobe). It replaces Adobe's Experience Cloud, a product relied upon by over 20,000 global brands and powering more than 1 trillion experiences annually (Martech, Business Adobe). More than 10 purpose-built AI agents, initially previewed at Summit 2025, are now in production (Martech), fundamentally redefining core business functions, with AI acting as an integrated, intelligent co-worker.

Beyond Automation: The Rise of Reasoning and Diverse AI Models

Adobe CX Enterprise Coworker

Adobe CX Enterprise Coworker, now generally available, functions as a persistent, self-learning agent designed to orchestrate multiple Adobe and third-party agents towards specific business goals. Over 1,770 customers are already entitled to use these AI agents through a new credit-based pricing model (Martech). The implication is a shift towards autonomous decision-making and real-time data interaction, demanding significant data quality and new operational models within enterprises.

Purpose-built AI agents (in production)

More than 10 purpose-built AI agents are now in production, leveraging reasoning models that interact with real-time data to make decisions, similar to human learning (Nutanix). These models integrate learning from Large Language Models (LLMs) with new information, solving complex problems faster. This capability means AI is moving beyond simple automation to tackle nuanced, adaptive challenges, fundamentally altering how businesses approach problem-solving and process optimization.