Adobe Summit 2026: from Generative AI to AI Agents that get work done

This year’s Adobe Summit in Las Vegas clearly showed that the Digital Experience industry is entering a new era – a moment when Artificial Intelligence is no longer just a supporting tool, but becomes an active participant in business processes. This is not only about experimenting with content generation or automating individual campaigns. It’s the point where AI starts to understand context and actually gets work done.

This shift fundamentally redefines how organizations approach AI in marketing and how they build modern digital experience platforms.

This year, Sii Poland participated in Adobe Summit 2026 as an event sponsor, with its own booth on-site. It was a great opportunity to meet with clients and partners, discuss real challenges, and demonstrate how Adobe’s latest innovations translate into concrete business use cases.

From these conversations, one thing clearly stood out – organizations today have access to powerful technologies, but they need a consistent and well-designed approach to turn them into real business outcomes.

The opening keynote set the tone for the entire conference. Jensen Huang, CEO of NVIDIA, showed the broader context – AI is moving into real-world processes and the physical world, while future interfaces will be built around agents capable of understanding user intent.

As a result, AI is no longer limited to generating text or images – it is rapidly becoming part of real processes, products, and AI-powered customer experiences.

From Generative AI to Agentic AI

The most important shift highlighted throughout the event is the transition from Generative AI to Agentic AI. AI is no longer just a tool for creating content. It has become an operational layer that:

• connects data, content, and decisions,
• orchestrates actions across systems,
• supports the execution of entire business processes.

This is where AI-driven marketing automation begins to take shape, replacing manual processes with orchestrated, intelligent workflows.

This is no longer a CMS: how AEM becomes the center of experience

A similar transformation is clearly visible in content and experience management.

“AEM is no longer perceived ‘just as a CMS’ – it becomes the central element of an ecosystem supported by AI agents and LLMs” – points out Rafał Rewiński, Solution Architect at Sii Poland.

This shift shows how the role of content is evolving. AEM is no longer only responsible for publishing content – it becomes a core component of a customer experience platform, providing context for both users and AI.

In practice, this means that AEM now manages:

• brand consistency,
• content quality and governance,
• rules for how content is used,
• how the brand is interpreted across channels – including AI-driven experience.

Content is no longer the final output of a campaign. It becomes a critical asset that powers AI-powered personalization, real-time experience, and conversational interactions with agents.

How e-commerce is changing in a world of AI and agents

A similar shift is happening in e-commerce, but here it is driven primarily by customer behavior.

“The customer journey is no longer linear. Customers ask ChatGPT, check Perplexity, see products on TikTok, compare them on Google, and return via marketplaces” – explains Patryk Święczkowski, Solution Architect Sii Polska.

This reflects a new reality where AI-driven discovery is a key starting point in the buying journey. Customers no longer follow predictable paths, and very often the first interaction with a product happens within an AI-generated response rather than on a website.

In this context, reducing friction becomes critical.

“Don’t make customers wait too long to make a decision” – Patryk adds. – “Around 70% of carts are abandoned, and every additional step is another opportunity for customers to drop off”

At the same time, as from a broader architectural perspective:

“The biggest challenge today is not the lack of tools, but how to connect them and coordinate work across teams” – Rafał points out.

This clearly shows that the challenge is no longer about technology selection but about building a cohesive system. That is why Adobe is focusing on integrating Adobe Commerce with experience and AI layers, enabling:

• shortening the purchase journey,
• AI-driven personalization,
• fast decision-making,
• consistent omnichannel experiences.

Key Adobe solutions shaping the new CX model

Adobe presented a cohesive ecosystem that forms the foundation of modern customer experience platforms:

As shown during the event, Adobe Coworker understands business goals, selects the right data and tools, builds workflows, and executes them with minimal manual handoffs.

This directly improves time-to-market and operational efficiency:

• Adobe Experience Platform Agent Orchestrator – managing multiple agents
• Adobe GenStudio – supporting scalable content production
• Adobe Brand Intelligence – ensuring consistency of brand communication
• Semantic Search – intent- and experience-based search powered by AI
• Adobe Brand Concierge – development of conversational experiences

As highlighted during sessions, Brand Intelligence acts as a dynamic layer that learns from decisions and campaigns, stores knowledge about the brand, and ensures alignment across all outputs.

This allows organizations to scale content without losing control over brand identity.

Brand Visibility, GEO and AI-driven search

One of the most important emerging topics is brand visibility in AI-driven environments.

Traditional SEO is no longer enough. Brands must ensure they are present in:

• AI-driven search,
• LLMs,
• Generative discovery environments.

As discussed during Summit, this is where GEO (Generative Engine Optimization) becomes critical.

Adobe LLM Optimizer supports this shift by enabling organizations to:

• analyze how their brand appears in AI responses,
• identify gaps in content and data,
• optimize content for AI-first search experiences,
• improve visibility in generative environments.

This marks a shift from search engine ranking to being visible in and understood by AI.

Scale of change and new challenges

The scale of transformation is significant. As a result:

• content demand is expected to grow up to 5x,
• customer journeys are becoming increasingly fragmented,
• more interactions are mediated by AI agents.

As a result, traditional operating models based on manual processes are no longer sufficient. AI becomes the layer that connects data, content, decisions, and execution.

Key takeaways from Adobe Summit 2026

The biggest shift is not about producing more content. It is about AI becoming an integral part of systems that design, optimize, and deliver customer experience.

Organizations that structure their data, content, and architecture early will gain a real competitive advantage. Those that treat AI as an add-on risk are falling behind in a world where the first “customer” is increasingly an AI agent.

Adobe Summit 2026 clearly showed that this is not an incremental change – it is a fundamental shift in how digital experience platforms, marketing and e-commerce operate.

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Discover the potential of Adobe Experience Cloud

Sii Poland, as an Adobe Silver Solution Partner with over 10 years of experience, supports organizations in turning these trends into real outcomes.

We support clients at every stage: from strategy to implementation and ongoing development:

• designing Adobe Experience Cloud architectures (AEM, AEP, Adobe Commerce),
• implementing AI-driven marketing solutions,
• optimizing content supply chains,
• preparing organizations for AI-first strategies,
• building consistent, multi-channel customer experiences.

If you want to translate these directions into real actions, from structuring content and data to building scalable customer experience platforms, explore our Adobe Experience Cloud offering.

We help you design the right architecture, implement solutions, and fully leverage the power of AI-driven customer experience.