Adobe Summit 2026: Inside Adobe’s Move Towards Agentic AI

At Adobe Summit 2026, the most important shift was not a product launch or a feature update. It was a realignment to a new definition of how work gets done.

For years, artificial intelligence has been framed as an assistant, something that speeds up tasks, generates content, or helps teams work a little faster. This year, Adobe made a more ambitious claim, outlining a future in which AI does not simply support work but increasingly runs it. The stakes for making that case convincingly have rarely been higher given the weight of investor concerns it has been carrying over the past year.

What emerged is a vision of the agentic enterprise, a term gaining traction across the technology industry for organisations where AI systems can reason, plan, act, and improve without being prompted at every step. Adobe is far from alone in pursuing this. Salesforce, Microsoft, Oracle, and others have made similar moves in recent months. Summit 2026, however, was Adobe's moment to set out its own version of that argument.

The past two years have been defined by generative AI, and Adobe has been central to that shift. At Summit 2026, the company moved further, positioning the next era around AI that "works alongside your team to orchestrate experiences across data, journeys, and channels in real time", a description taken directly from its own keynote programme. Rather than treating marketing, analytics, and content creation as separate activities, Adobe is building an environment in which these are connected and managed together by AI, with the goal of handling more of the process from start to finish.

Customer experience has traditionally been designed by hand, with teams planning journeys, defining audiences, and scheduling campaigns in advance. Adobe's vision replaces this with experience that adjusts continuously based on new data and customer behaviour.

Its newly announced CX Enterprise Coworker is designed to move organisations "from manual coordination to agentic orchestration", handling execution in the background while marketing teams focus on goals rather than day-to-day tasks. The system watches how campaigns are performing, checks results against set goals, and makes adjustments in real time.

As AI speeds up content creation, a new problem emerges. Adobe acknowledges that demand for content is growing rapidly, driven by the need for personalised experiences across channels and audiences. Creating content is no longer the hard part. Keeping it consistent is.

To address this, Adobe announced Brand Intelligence, described on the company's product pages as "a continuously learning, agentic brand intelligence system." Rather than relying on written guidelines or manual checks, Brand Intelligence builds up a working knowledge of a brand over time, drawing on design systems, approved assets, campaign briefs, reviewer decisions, and accumulated feedback. The result is a system that applies brand standards automatically across creative, marketing, and compliance workflows at scale, without teams having to police every asset individually.

These developments point to a significant shift in what Adobe is. Rather than focusing on tools for creative professionals or marketers, it is moving toward owning the systems that connect those tools and drive business outcomes. The question for businesses is shifting too, away from which software a team uses and toward which platform defines how work flows and how results are delivered.

Adobe is also signalling a more open approach. Its Agent Orchestrator product is described as having been "designed to interoperate with other agentic platforms", meaning it is built to work alongside tools from other companies rather than replace them. The company backed that up at Summit with expanded partnerships with Amazon Web Services, Anthropic, Google Cloud, IBM, Microsoft, Nvidia, and OpenAI, aimed at enabling AI agents to work across Adobe and third-party platforms. Adobe's role becomes one of coordination, connecting data sources, content systems, and external AI capabilities rather than operating as a closed environment.

As AI takes on more responsibility, the human role shifts. Adobe's Summit content supply chain session describes the intended model as one in which "humans guide strategy and AI agents orchestrate execution", meaning people set direction rather than managing day-to-day tasks. Marketers move toward supervising adaptive systems rather than running campaigns manually. Responsibility does not shrink. It moves to a higher level.

Summit 2026 did not take place in a vacuum. Adobe has been under sustained investor pressure, with its share price sitting around $256 at the time of the conference, well below its all-time high of nearly $700 reached in November 2021, as reported by Investors Business Daily. What some in the industry have called the ‘SaaS-pocalypse’, a period of investor fear that AI startups will erode established software businesses, has compounded Adobe's difficulties alongside slowing growth in its core business and its CEO's planned departure.

During the Summit, Adobe's board approved a $25 billion share buyback running through April 2030. Chief Financial Officer of Adobe Systems, Dan Durn described it as "a direct expression of confidence in our robust cash flow and the long-term value we are delivering to investors." Not all analysts agreed. BNP Paribas called the annual repurchase pace a slight disappointment given what Adobe had spent in each of the previous two financial years. Mizuho Securities analyst, Gregg Moskowitz, who holds an outperform rating, conceded the stock had become "an extremely frustrating stock for quite some time", while still backing the company to meet its targets for the year.

Has Summit done enough to change this view?  It is certainly singing the right tune and there has already been an uptick in its share price, reflecting a new injection of confidence. Ultimately, however, investors want to know whether Adobe can turn this innovation into genuine growth.